Mo7art/Stack2Graph_VD_scala · Datasets at Hugging Face

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56440710_c0	56440710	scala	0	Title: scala, filter RDD Problem title: scala, filter RDD Tags: scala, rdd, apache-spark Problem: scala, filter RDD Code signals: RDD, Seq, file2, Array	scala, filter RDD scala, filter RDD scala rdd apache-spark RDD Seq file2 Array scala, filter RDD i have val: and I would like to filter in file2 exists element in "key" I want something like this:	[ 0.0145263671875, 0.0172119140625, -0.0244140625, 0.0103759765625, 0.01287841796875, -0.003570556640625, 0.00732421875, 0.03662109375, -0.01312255859375, 0.0235595703125, -0.01239013671875, -0.0096435546875, -0.0035247802734375, 0.01080322265625, -0.009765625, 0.00921630859375, 0.0073...	[ 146232, 46312, 627, 24057, 4, 1690, 4028, 2241, 1430, 10237, 503, 864, 11435, 304, 69253, 3502, 2806, 1884, 32316, 7, 12830, 23, 19770, 3444, 903 ]	[ 0.234619140625, 0.2626953125, 0.0924072265625, 0.2333984375, 0.0150909423828125, 0.03741455078125, 0.1678466796875, 0.07171630859375, 0.0780029296875, 0.1446533203125, 0.066162109375, 0.13330078125, 0.1666259765625, 0.1304931640625, 0.09332275390625, 0.1744384765625, 0.03909301757812...	embed
46440770_c0	46440770	scala	0	Title: Scala Tail Recursion Problem title: Scala Tail Recursion Tags: recursion, scala Problem: Scala Tail Recursion Code signals: Scala, Tail, Recursion	Scala Tail Recursion Scala Tail Recursion recursion scala Scala Tail Recursion Scala Tail Recursion So I have this recursive function that multiplies two numbers, simple enough. Now I'm trying to turn it into a tail recursive function, and I tried this: However I get the following error: Question: Can you explain to me...	[ 0.0218505859375, 0.017333984375, 0.008056640625, 0.0081787109375, 0.01336669921875, -0.00628662109375, -0.02099609375, -0.0101318359375, -0.000614166259765625, -0.006805419921875, -0.0019073486328125, -0.0286865234375, -0.00616455078125, 0.0169677734375, 0.032958984375, -0.001777648925...	[ 152653, 11, 1218, 379, 165428, 42, 6889, 195625, 1830, 146232, 765, 903, 5844, 32354, 118126, 90, 6626, 101935, 8781, 20174, 31577, 15504, 3934, 10, 46741, 37842, 33306, 2046, 25632, 18499, 4171, 73342, 15400, 74918, 5608, 456, 144810, 18151 ...	[ 0.137939453125, 0.0772705078125, 0.187255859375, 0.15478515625, 0.124267578125, 0.11376953125, 0.0777587890625, 0.2095947265625, 0.05126953125, 0.170654296875, 0.02349853515625, 0.0635986328125, 0.142333984375, 0.1917724609375, 0.1962890625, 0.0750732421875, 0.1563720703125, 0.1663...	embed
20220013_c0	20220013	scala	0	Title: List of lists in Scala? Problem title: List of lists in Scala? Tags: scala, list Problem: List of lists in Scala? Code signals: List, Scala, Lists	List of lists in Scala? List of lists in Scala? scala list List Scala Lists List of lists in Scala? I have a grid (that is declared as a List (of Lists) ) and each 33 block for example is indexed as 0 , the next 33 block is indexed as 1 , etc. I need to write a method that returns the elements ( integers ) in a parti...	[ 0.0224609375, 0.00860595703125, 0.0026702880859375, -0.0018157958984375, -0.00421142578125, 0.0013580322265625, 0.0084228515625, 0.0031280517578125, 0.00311279296875, 0.018310546875, -0.0050048828125, -0.029052734375, 0.0078125, 0.01507568359375, 0.00811767578125, -0.00299072265625, ...	[ 32036, 111, 5303, 7, 23, 152653, 11, 32, 146232, 87, 765, 120067, 159978, 237, 4390, 12638, 138, 1639, 363, 46389, 63262, 757, 11737, 106, 3871, 33022, 55300, 30646, 80854, 892, 26255, 17311, 34475, 27781, 876, 177609, 5608, 8337, 201, 11...	[ 0.23486328125, 0.09100341796875, 0.240234375, 0.12548828125, 0.1153564453125, 0.236328125, 0.205810546875, 0.030548095703125, 0.208984375, 0.02801513671875, 0.0091552734375, 0.19091796875, 0.0706787109375, 0.014404296875, 0.044769287109375, 0.0154876708984375, 0.04962158203125, 0.0...	embed
36446827_c0	36446827	scala	0	Title: Apache Spark Build error Problem title: Apache Spark Build error Tags: scala, apache-spark Problem: Apache Spark Build error Code signals: Apache, Spark, Build	Apache Spark Build error Apache Spark Build error scala apache-spark Apache Spark Build Apache Spark Build error I'm building Apache spark source code in ubuntu 14.04.4 (spark version: 1.6.0 with Scala code runner version 2.10.4) with command and getting the following error, Where I'm getting wrong?	[ 0.01214599609375, 0.04296875, -0.018310546875, 0.00311279296875, -0.003265380859375, -0.00421142578125, -0.0074462890625, -0.0062255859375, -0.00439453125, 0.040771484375, 0.01336669921875, -0.028564453125, 0.00726318359375, -0.00238037109375, 0.00994873046875, 0.00927734375, 0.00096...	[ 9795, 1430, 152810, 121137, 18499, 146232, 2241, 7, 10237, 33976, 131999, 31344, 18151, 23, 198996, 6370, 39876, 617, 11389, 51748, 2389, 152653, 11, 142117, 116, 10179, 29557, 75101, 25632, 78662, 39, 20949, 44691 ]	[ 0.1658935546875, 0.166259765625, 0.2978515625, 0.2183837890625, 0.182373046875, 0.2205810546875, 0.122802734375, 0.031280517578125, 0.209228515625, 0.1671142578125, 0.2352294921875, 0.1175537109375, 0.1290283203125, 0.016845703125, 0.1307373046875, 0.1319580078125, 0.1826171875, 0....	embed
33112727_c0	33112727	scala	0	Title: Get values from an RDD Problem title: Get values from an RDD Tags: scala, hadoop, apache-spark Problem: Get values from an RDD Code signals: an, Get, RDD, Array	Get values from an RDD Get values from an RDD scala hadoop apache-spark an Get RDD Array Get values from an RDD I created an RDD wtih the following format using Scala : How can I get the list of the Array[1] from this RDD ? The data for the first data line is:	[ 0.001678466796875, -0.0029449462890625, -0.0162353515625, -0.00250244140625, -0.01129150390625, 0.0000782012939453125, 0.0103759765625, 0.01202392578125, -0.01055908203125, -0.0069580078125, 0.003326416015625, -0.007568359375, -0.00738525390625, 0.003631591796875, -0.0068359375, -0.001...	[ 20779, 142424, 1295, 142, 627, 24057, 146232, 256, 246, 2146, 2241, 1430, 10237, 69253, 53, 75935, 46560, 25632, 9384, 152653, 11, 831, 2046, 5303, 111, 25256, 903, 2053, 5117, 13315, 83 ]	[ 0.134033203125, 0.202880859375, 0.1458740234375, 0.060211181640625, 0.1279296875, 0.300537109375, 0.2435302734375, 0.0677490234375, 0.0784912109375, 0.1778564453125, 0.090087890625, 0.081787109375, 0.185791015625, 0.173583984375, 0.11181640625, 0.062103271484375, 0.0416259765625, 0...	embed
40221310_c0	40221310	scala	0	Title: Add Tuple to Map? Problem title: Add Tuple to Map? Tags: scala Problem: Add Tuple to Map? Code signals: Add, Tuple, Map, res8, scala.collection.immutable.Map, res0	Add Tuple to Map? Add Tuple to Map? scala Add Tuple Map res8 scala.collection.immutable.Map res0 Add Tuple to Map? Using Scala 2.11.8, I can append a key - value pair to a Map via: But how can I use tuple as the + 's argument? Nor does this work: Map#+ 's signature is: +(kv: (A, B)): Map[A, B] , so I'm not sure why it'...	[ 0.024169921875, 0.00860595703125, 0.0047607421875, -0.012451171875, -0.0228271484375, -0.005706787109375, -0.01129150390625, 0.00933837890625, 0.0213623046875, -0.006988525390625, 0.0125732421875, -0.0032958984375, -0.007110595703125, 0.052978515625, -0.0038909912109375, 0.002059936523...	[ 29117, 1371, 8705, 47, 42719, 146232, 3332, 1019, 196352, 1830, 561, 22819, 166179, 2389, 152653, 11, 34513, 119044, 831, 114689, 71, 22799, 34292, 80836, 1829, 3642, 4527, 370, 237, 997, 10750, 12876, 4488, 4904, 1328, 138256, 49706, 335, ...	[ 0.1650390625, 0.18603515625, 0.282958984375, 0.12255859375, 0.2484130859375, 0.2064208984375, 0.05242919921875, 0.06512451171875, 0.09185791015625, 0.012481689453125, 0.05731201171875, 0.113525390625, 0.1943359375, 0.03179931640625, 0.2159423828125, 0.1348876953125, 0.0869140625, 0...	embed
47160608_c0	47160608	scala	0	Title: Intellij SBT Timeout errors Problem title: Intellij SBT Timeout errors Tags: intellij-idea, sbt, scala Problem: Intellij SBT Timeout errors Code signals: Intellij, SBT, Timeout	Intellij SBT Timeout errors Intellij SBT Timeout errors intellij-idea sbt scala Intellij SBT Timeout Intellij SBT Timeout errors I'm new to Scala with SBT and I'm trying to figure out the new IntelliJIDE. When I follow the tutorial for setting up the below shows up: After adding the below artifact its still the same Ar...	[ 0.0126953125, 0.0284423828125, -0.0179443359375, 0.000560760498046875, -0.0184326171875, -0.006195068359375, -0.006805419921875, 0.0079345703125, -0.017578125, 0.005859375, -0.0003452301025390625, -0.01495361328125, -0.00860595703125, 0.01806640625, 0.0228271484375, 0.00055313110351562...	[ 24018, 150, 170, 159, 52681, 19055, 6056, 18499, 33049, 30610, 91, 16723, 146232, 3525, 152653, 11, 1375, 36497, 28960, 57143, 53550, 1257, 35064, 24372, 154107, 17662, 114700, 6863, 7464, 5701, 38420, 49814 ]	[ 0.1275634765625, 0.1339111328125, 0.2139892578125, 0.100341796875, 0.23095703125, 0.1661376953125, 0.14208984375, 0.156005859375, 0.177978515625, 0.1710205078125, 0.04779052734375, 0.1722412109375, 0.1729736328125, 0.013671875, 0.1668701171875, 0.11376953125, 0.1534423828125, 0.219...	embed
58982543_c0	58982543	scala	0	Title: Splitting dataframe Problem title: Splitting dataframe Tags: parsing, scala Problem: Splitting dataframe How would you split a dataframe in scala? {code}--- {code}--- Code signals: Splitting	Splitting dataframe Splitting dataframe parsing scala Splitting Splitting dataframe How would you split a dataframe in scala?	[ 0.0133056640625, 0.0142822265625, -0.00653076171875, 0.00872802734375, -0.01544189453125, -0.0198974609375, 0.017333984375, -0.0004730224609375, -0.00067138671875, 0.00173187255859375, -0.0174560546875, -0.02587890625, -0.02294921875, 0.00164031982421875, -0.003631591796875, 0.01177978...	[ 46474, 1916, 2053, 160328, 366, 6953, 146232, 11249, 2806, 398, 65450, 23 ]	[ 0.191650390625, 0.1368408203125, 0.147216796875, 0.263427734375, 0.1280517578125, 0.093505859375, 0.262939453125, 0.0628662109375, 0.10498046875, 0.03387451171875, 0.24267578125, 0.08270263671875 ]	embed
8526691_c0	8526691	scala	0	Title: Scala Stream confusion Problem title: Scala Stream confusion Tags: scala, recursion, stream, tail Problem: Scala Stream confusion Code signals: Scala, Stream, s.tail.map, x.head, s.take, List	Scala Stream confusion Scala Stream confusion scala recursion stream tail Scala Stream s.tail.map x.head s.take List Scala Stream confusion Running: I'd expect: And I get: Could you explain it to me?	[ 0.007293701171875, 0.025146484375, -0.000946044921875, -0.0198974609375, -0.0023651123046875, -0.014404296875, 0.003662109375, -0.0022735595703125, 0.02001953125, 0.00653076171875, 0.021484375, -0.0145263671875, 0.01324462890625, 0.028564453125, 0.0228271484375, -0.00689697265625, 0....	[ 152653, 11, 115061, 169463, 146232, 195625, 1830, 75973, 46741, 91, 62346, 1022, 31251, 78219, 32036, 28398, 87, 71, 41206, 3493, 2046, 12, 191147, 73342, 442, 47, 163 ]	[ 0.1707763671875, 0.08685302734375, 0.23486328125, 0.215576171875, 0.1827392578125, 0.140869140625, 0.026123046875, 0.2044677734375, 0.1922607421875, 0.039306640625, 0.1109619140625, 0.0299224853515625, 0.09979248046875, 0.11749267578125, 0.1260986328125, 0.059051513671875, 0.00198554...	embed
24172966_c0	24172966	scala	0	Title: scala, exception handling, promises Problem title: scala, exception handling, promises Tags: scala Problem: scala, exception handling, promises Code signals: Exception, p.future, Await.result	scala, exception handling, promises scala, exception handling, promises scala Exception p.future Await.result scala, exception handling, promises I am beginner in Scala and I have a problem with exception handling Code and as a result I got string An error has occured: java.lang.Exception , but it is followed by an Exc...	[ 0.01025390625, 0.021728515625, -0.0250244140625, -0.027587890625, 0.00066375732421875, -0.0004405975341796875, 0.0162353515625, -0.0225830078125, 0.0038299560546875, -0.00183868408203125, -0.00457763671875, -0.012939453125, -0.0035552978515625, 0.002777099609375, 0.0225830078125, -0.01...	[ 146232, 131527, 45064, 103036, 7, 5443, 63928, 915, 3125, 6644, 62, 634, 217, 2109, 7136, 9842, 1679, 152653, 11, 2967, 28864, 79315, 18499, 1556, 74918, 79, 330, 3066, 19279, 1284, 134629, 1528, 121011, 90, 44691 ]	[ 0.26025390625, 0.224853515625, 0.1920166015625, 0.21044921875, 0.061859130859375, 0.094970703125, 0.2386474609375, 0.05816650390625, 0.12548828125, 0.10498046875, 0.0152435302734375, 0.1383056640625, 0.1173095703125, 0.0692138671875, 0.1309814453125, 0.01763916015625, 0.0449523925781...	embed
65764314_c2	65764314	scala	2	my_image, Error, Building, FINISHED, docker.io, sha256:f362b165b870ef129cbe730f29065ff37399c0aa8bcab3e44b51c302938c9193, CACHED, sha256:f9b47f877daa755c569a34bac4b24d6f08b55746a5df24d605fe9878ab124822	my_image, Error, Building, FINISHED, docker.io, sha256:f362b165b870ef129cbe730f29065ff37399c0aa8bcab3e44b51c302938c9193, CACHED, sha256:f9b47f877daa755c569a34bac4b24d6f08b55746a5df24d605fe9878ab124822	[ -0.005828857421875, -0.003173828125, 0.007232666015625, 0.006988525390625, -0.0019989013671875, 0.023681640625, 0.0029754638671875, -0.003509521484375, 0.0130615234375, 0.0439453125, 0.01708984375, 0.00921630859375, 0.01507568359375, 0.0024871826171875, -0.01348876953125, 0.00909423828...	[ 759, 454, 37926, 4, 212059, 104919, 67227, 79909, 17610, 54, 11050, 5, 846, 9638, 127892, 12, 420, 8659, 118913, 132067, 4240, 117595, 238, 372, 1197, 124916, 10945, 5046, 12465, 10991, 12183, 11591, 313, 37672, 13330, 182055, 85, 159353, 1...	[ 0.230224609375, 0.03936767578125, 0.287841796875, 0.009429931640625, 0.265625, 0.279052734375, 0.201416015625, 0.194580078125, 0.1973876953125, 0.1572265625, 0.301513671875, 0.0418701171875, 0.2318115234375, 0.1781005859375, 0.254150390625, 0.00933837890625, 0.04473876953125, 0.103...	embed
18183124_c0	18183124	scala	0	Title: Not a valid key: eclipsify Problem title: Not a valid key: eclipsify Tags: playframework-2.0, playframework, scala Problem: Not a valid key: eclipsify Code signals: Not, Expected, playframework-2.0	Not a valid key: eclipsify Not a valid key: eclipsify playframework-2.0 playframework scala Not Expected playframework-2.0 Not a valid key: eclipsify I'm trying out the todolist play framework application from their documentation. But when I try to create the eclipse project, using eclipsify command, I get this error W...	[ 0.01025390625, 0.017822265625, 0.0018768310546875, -0.007354736328125, -0.0048828125, -0.003936767578125, -0.0145263671875, -0.00086212158203125, 0.0020904541015625, 0.0185546875, 0.002197265625, -0.00714111328125, 0.00701904296875, 0.019775390625, -0.004730224609375, 0.0069580078125, ...	[ 11205, 10, 35604, 22799, 28, 106371, 7, 40383, 11301, 160328, 18244, 73011, 146232, 60075, 13, 31577, 1973, 6562, 170846, 38415, 209806, 9790, 28282, 184, 13452, 75101, 903, 18499, 5809, 44691 ]	[ 0.1253662109375, 0.06500244140625, 0.1873779296875, 0.1995849609375, 0.03485107421875, 0.20556640625, 0.09954833984375, 0.27197265625, 0.149169921875, 0.1258544921875, 0.09161376953125, 0.158447265625, 0.1636962890625, 0.0657958984375, 0.07757568359375, 0.03985595703125, 0.1130371093...	embed
77845158_c1	77845158	scala	1	0:40:PQ 2023-05-02 13:52:23:DE INTERNAL : 201 DESCRIPTION: 2023-04-11 15:19:10:FH 2023-04-30 21:20:26:LM 2023-05-02 13:52:23:OP 101 301 INTERNAL : 301 DESCRIPTION: 2023-05-02 11:52:23:YQ Code signals: Group	0:40:PQ 2023-05-02 13:52:23:DE INTERNAL : 201 DESCRIPTION: 2023-04-11 15:19:10:FH 2023-04-30 21:20:26:LM 2023-05-02 13:52:23:OP 101 301 INTERNAL : 301 DESCRIPTION: 2023-05-02 11:52:23:YQ Code signals: Group	[ 0.0198974609375, 0.004364013671875, -0.01336669921875, 0.01409912109375, -0.0018310546875, 0.006103515625, -0.00579833984375, -0.00023174285888671875, 0.031982421875, 0.036865234375, -0.01190185546875, -0.000476837158203125, 0.01263427734375, 0.0255126953125, -0.018798828125, 0.0114135...	[ 757, 22932, 12, 683, 2737, 140429, 52288, 9550, 702, 33915, 24864, 8399, 59692, 147784, 152, 76621, 51552, 441, 132824, 35213, 40866, 1662, 423, 23988, 15110, 919, 841, 1197, 952, 28194, 37150, 20880, 21027, 134625, 534, 1723, 28864, 26073, ...	[ 0.13671875, 0.2213134765625, 0.079345703125, 0.11639404296875, 0.23388671875, 0.21337890625, 0.155517578125, 0.1307373046875, 0.087646484375, 0.14208984375, 0.1417236328125, 0.259521484375, 0.171630859375, 0.1590576171875, 0.042724609375, 0.2373046875, 0.11773681640625, 0.096984863...	embed
50536593_c0	50536593	scala	0	Title: Get all key combinations from nested maps Problem title: Get all key combinations from nested maps Tags: scala Problem: Get all key combinations from nested maps Code signals: nested, Get, Map, Seq, List	Get all key combinations from nested maps Get all key combinations from nested maps scala nested Get Map Seq List Get all key combinations from nested maps I have a nested map like so: I want the desired output to show every possible combination of the integers in the Seqs. For example: I have been trying different com...	[ 0.000820159912109375, 0.022705078125, -0.01312255859375, -0.0208740234375, 0.01055908203125, 0.004486083984375, 0.00127410888671875, -0.01263427734375, -0.0030517578125, -0.00823974609375, -0.00182342529296875, -0.01080322265625, 0.0211181640625, 0.04833984375, -0.00958251953125, -0.00...	[ 20779, 756, 22799, 162515, 7, 1295, 8512, 71, 22288, 146232, 42719, 503, 864, 32036, 3444, 104851, 140992, 7639, 11907, 7722, 892, 26255, 31577, 12921, 49878, 166179, 33720, 20697, 25647 ]	[ 0.103271484375, 0.125244140625, 0.174072265625, 0.256103515625, 0.09136962890625, 0.086669921875, 0.215087890625, 0.1085205078125, 0.174560546875, 0.171630859375, 0.1358642578125, 0.073974609375, 0.154052734375, 0.1505126953125, 0.043121337890625, 0.0513916015625, 0.1103515625, 0.0...	embed
64334447_c0	64334447	scala	0	Title: Loops in scala between rows Problem title: Loops in scala between rows Tags: date, scala, iso8601 Problem: Loops in scala between rows Code signals: Loops, NonWorkingDays, Seq, Starts, End, Resta, iso8601	Loops in scala between rows Loops in scala between rows date scala iso8601 Loops NonWorkingDays Seq Starts End Resta iso8601 Loops in scala between rows I have something like this : df : how can I do a loop between Starts > End ? I mean something like :	[ 0.0155029296875, 0.00110626220703125, -0.00750732421875, 0.04248046875, -0.0059814453125, -0.0196533203125, 0.00909423828125, 0.0159912109375, -0.00128936767578125, 0.006622314453125, -0.00038909912109375, 0.000396728515625, -0.0059814453125, 0.0181884765625, 0.00091552734375, -0.01495...	[ 199694, 7, 23, 146232, 17721, 15555, 5622, 13882, 15276, 6746, 3775, 108259, 214, 97141, 503, 864, 13794, 18878, 853, 590, 1884, 420, 3642, 831, 54, 40956, 977 ]	[ 0.2362060546875, 0.0670166015625, 0.07122802734375, 0.2236328125, 0.1907958984375, 0.1904296875, 0.097900390625, 0.0428466796875, 0.08270263671875, 0.0943603515625, 0.0885009765625, 0.1002197265625, 0.01165771484375, 0.10009765625, 0.032745361328125, 0.111328125, 0.1917724609375, 0...	embed
27462460_c0	27462460	scala	0	Title: Scala and Set parametrized type by Int Problem title: Scala and Set parametrized type by Int Tags: scala, scala-collections Problem: Scala and Set parametrized type by Int Code signals: Scala, Set, Boolean	Scala and Set parametrized type by Int Scala and Set parametrized type by Int scala scala-collections Scala Set Boolean Scala and Set parametrized type by Int I am working on some function which take an element and return singleton class with this element, as shown below: but scala REPL signalize such problem: I have t...	[ 0.00628662109375, 0.0020294189453125, 0.0225830078125, -0.00116729736328125, -0.01287841796875, 0.0089111328125, -0.0103759765625, -0.0004787445068359375, -0.00640869140625, 0.040771484375, -0.004730224609375, -0.003021240234375, -0.0079345703125, -0.00201416015625, 0.0091552734375, -0...	[ 152653, 11, 136, 19943, 39850, 29367, 10644, 390, 360, 18, 146232, 196352, 73783, 34677, 20697, 32354, 5646, 12830, 30646, 11001, 1507, 18507, 678, 9069, 21130, 26073, 2967, 15190, 237, 4358, 17819, 121742, 17368, 34513, 91977, 21373, 18499 ]	[ 0.203125, 0.13623046875, 0.1002197265625, 0.2271728515625, 0.20166015625, 0.0467529296875, 0.1910400390625, 0.05242919921875, 0.1383056640625, 0.1634521484375, 0.206298828125, 0.1240234375, 0.045989990234375, 0.1612548828125, 0.042999267578125, 0.08685302734375, 0.0389404296875, 0....	embed
40892081_c0	40892081	scala	0	Title: Scala-like Flatten from command line Problem title: Scala-like Flatten from command line Tags: sed, scala, linux, awk Problem: Scala-like Flatten from command line Code signals: command, Scala-like, Flatten	Scala-like Flatten from command line Scala-like Flatten from command line sed scala linux awk command Scala-like Flatten Scala-like Flatten from command line Given a file like this: Is it possible to produce this from command line:	[ 0.01116943359375, 0.00592041015625, -0.017822265625, 0.021484375, 0.00628662109375, -0.00970458984375, 0.03369140625, -0.0022125244140625, -0.00457763671875, -0.0004558563232421875, -0.01483154296875, 0.00689697265625, 0.0040283203125, 0.00537109375, -0.01495361328125, -0.0134887695312...	[ 152653, 11, 5062, 106516, 510, 1295, 75101, 13315, 1736, 146232, 11508, 6077, 434, 92, 77878, 11435, 1884, 903, 2071, 442, 7722, 27489 ]	[ 0.19775390625, 0.127197265625, 0.18408203125, 0.2177734375, 0.2012939453125, 0.1319580078125, 0.1854248046875, 0.1669921875, 0.1737060546875, 0.218994140625, 0.0521240234375, 0.034912109375, 0.0736083984375, 0.095703125, 0.02142333984375, 0.1585693359375, 0.08416748046875, 0.100280...	embed
68483002_c0	68483002	scala	0	Title: Save Spark Dataframe into JSON Problem title: Save Spark Dataframe into JSON Tags: apache-spark, scala, json Problem: Save Spark Dataframe into JSON Code signals: Save, Spark, Dataframe, JSON, df.write.json	Save Spark Dataframe into JSON Save Spark Dataframe into JSON apache-spark scala json Save Spark Dataframe JSON df.write.json Save Spark Dataframe into JSON I have a data frame and I want to save in json. My data frame contains a json column. When I save the data frame into json it saves as string field instead of json...	[ 0.01068115234375, 0.023193359375, 0.0166015625, 0.027587890625, -0.00616455078125, 0.00164031982421875, 0.0018157958984375, 0.0196533203125, 0.0101318359375, 0.0098876953125, -0.01318359375, 0.019287109375, -0.01153564453125, -0.01043701171875, 0.025634765625, 0.010986328125, 0.00921...	[ 64944, 152810, 11809, 160328, 3934, 821, 58627, 2241, 1430, 7, 10237, 146232, 1647, 1681, 420, 434, 18781, 170, 2053, 123789, 3444, 30098, 70541, 3365, 316, 19, 237, 79315, 44457, 64457, 111, 131999, 11389, 787, 151152, 46876, 128405, 35064, ...	[ 0.1307373046875, 0.2666015625, 0.1156005859375, 0.271728515625, 0.1380615234375, 0.1275634765625, 0.2100830078125, 0.05023193359375, 0.103759765625, 0.00927734375, 0.1947021484375, 0.189453125, 0.113037109375, 0.177978515625, 0.09893798828125, 0.0238800048828125, 0.1259765625, 0.10...	embed
67487369_c0	67487369	scala	0	Title: Scala (Spark) .txt to .csv Problem title: Scala (Spark) .txt to .csv Tags: apache-spark, csv, scala, txt Problem: Scala (Spark) .txt to .csv Code signals: Scala, Spark, Number, Date, Time, Nns, Ans, Nwe, Awe	Scala (Spark) .txt to .csv Scala (Spark) .txt to .csv apache-spark csv scala txt Scala Spark Number Date Time Nns Ans Nwe Awe Scala (Spark) .txt to .csv I've got both .txt an d .dat files with structure: I can't translate it to .csv by using Spark/Scala . doesn't work! Please help. Here s file - https://github.com/Cvit...	[ 0.00555419921875, -0.019775390625, 0.01953125, 0.03125, 0.018798828125, -0.0081787109375, -0.00311279296875, 0.0166015625, -0.003662109375, 0.00921630859375, -0.0274658203125, -0.0115966796875, -0.01116943359375, -0.00408935546875, -0.0111083984375, -0.01708984375, -0.004913330078125...	[ 152653, 11, 294, 10237, 5, 124326, 47, 4439, 334, 2241, 1430, 7, 20763, 146232, 152810, 103332, 25512, 19055, 1779, 893, 1177, 15044, 104, 5164, 102158, 45646, 831, 18, 3900, 19309, 442, 17368, 64, 62309, 4488, 4358, 11435, 32102, 87287, ...	[ 0.26123046875, 0.1837158203125, 0.0703125, 0.1956787109375, 0.039794921875, 0.2388916015625, 0.1212158203125, 0.116455078125, 0.241455078125, 0.057159423828125, 0.0711669921875, 0.0190277099609375, 0.0631103515625, 0.250244140625, 0.256103515625, 0.126953125, 0.06982421875, 0.09362...	embed
27576943_c0	27576943	scala	0	Title: Folding a list of tuples using Scala Problem title: Folding a list of tuples using Scala Tags: scala Problem: Folding a list of tuples using Scala Code signals: Scala, Folding, List, l.fold, tup._2, List.fold	Folding a list of tuples using Scala Folding a list of tuples using Scala scala Scala Folding List l.fold tup._2 List.fold Folding a list of tuples using Scala What's wrong with this simple scala code? In other functional languages (e.g., f#) this works:	[ 0.01513671875, -0.0014801025390625, 0.00506591796875, 0.0029754638671875, -0.007568359375, -0.005096435546875, -0.01806640625, -0.0135498046875, 0.0198974609375, 0.000308990478515625, 0.005859375, -0.0234375, -0.00738525390625, 0.022216796875, 0.0040283203125, -0.0091552734375, -0.00...	[ 30077, 6238, 5303, 370, 99726, 17368, 152653, 11, 10, 111, 146232, 32036, 96, 42822, 254, 304, 44691, 678, 903, 8781, 18151, 3789, 123309, 46876, 1238, 4904, 43240 ]	[ 0.1812744140625, 0.1046142578125, 0.1697998046875, 0.1319580078125, 0.2103271484375, 0.0855712890625, 0.2178955078125, 0.1549072265625, 0.01556396484375, 0.04010009765625, 0.21923828125, 0.15869140625, 0.055084228515625, 0.1845703125, 0.05487060546875, 0.076416015625, 0.14599609375, ...	embed
60223860_c0	60223860	scala	0	Title: sbt unable to create jar for scala version 2.11.12 Problem title: sbt unable to create jar for scala version 2.11.12 Tags: intellij-idea, sbt, scala Problem: sbt unable to create jar for scala version 2.11.12	sbt unable to create jar for scala version 2.11.12 sbt unable to create jar for scala version 2.11.12 intellij-idea sbt scala sbt unable to create jar for scala version 2.11.12 I am trying to create .jar file for simple hello world project using scala in intellij IDE (2019.3.2 community edition) with sbt build tool (ve...	[ -0.004974365234375, 0.00457763671875, -0.01483154296875, -0.00701904296875, -0.01611328125, 0.004364013671875, -0.010498046875, -0.00537109375, -0.01434326171875, 0.0517578125, -0.00958251953125, -0.018310546875, 0.004852294921875, -0.0225830078125, 0.0157470703125, -0.01953125, 0.00...	[ 91, 16723, 51, 2886, 47, 28282, 35125, 100, 146232, 11389, 116, 14556, 1530, 33049, 170, 30610, 31577, 5, 3403, 11435, 8781, 33600, 31, 8999, 13452, 23, 36497, 32196, 107033, 26908, 79737, 45367, 55516, 46354, 135527, 34513, 97109, 151134, ...	[ 0.10107421875, 0.213623046875, 0.030670166015625, 0.1353759765625, 0.01068115234375, 0.1728515625, 0.237060546875, 0.0246734619140625, 0.25390625, 0.1094970703125, 0.0645751953125, 0.1806640625, 0.1759033203125, 0.141845703125, 0.1337890625, 0.14599609375, 0.04119873046875, 0.00659...	embed
49811423_c1	49811423	scala	1	0 , (2018-01-07T04:04:00 : 2018-01-07T04:06:00) , 25.5, 55.5 1 , (2018-01-07T04:04:00 : 2018-01-07T04:06:00) , 26.5, 50.5 Code signals: Dataframe, Aggregation, DateTime, Latitude, Longitude, DF.groupBy, OtherThings	0 , (2018-01-07T04:04:00 : 2018-01-07T04:06:00) , 25.5, 55.5 1 , (2018-01-07T04:04:00 : 2018-01-07T04:06:00) , 26.5, 50.5 Code signals: Dataframe, Aggregation, DateTime, Latitude, Longitude, DF.groupBy, OtherThings	[ 0.022216796875, -0.0111083984375, -0.0123291015625, 0.0172119140625, -0.00555419921875, -0.0260009765625, 0.02490234375, -0.00830078125, 0.037109375, -0.018310546875, -0.012451171875, -0.02001953125, 0.005615234375, -0.00238037109375, -0.02490234375, 0.01177978515625, 0.0038146972656...	[ 757, 6, 4, 15, 1742, 45669, 8368, 7709, 33296, 6632, 152, 267, 33170, 16, 11653, 758, 190, 148462, 106, 12490, 93645, 28864, 26073, 7, 12, 11809, 160328, 12342, 68722, 2320, 25512, 70059, 239, 35810, 14407, 21753, 13, 98411, 5, 51588, 7...	[ 0.195556640625, 0.0762939453125, 0.096923828125, 0.0516357421875, 0.181396484375, 0.1295166015625, 0.1259765625, 0.0771484375, 0.1051025390625, 0.041748046875, 0.0836181640625, 0.17529296875, 0.06756591796875, 0.07891845703125, 0.2529296875, 0.2081298828125, 0.1474609375, 0.2391357...	embed
34649761_c0	34649761	scala	0	Title: Break tuple in RDD to two tuples Problem title: Break tuple in RDD to two tuples Tags: iterable, apache-spark, rdd, scala Problem: Break tuple in RDD to two tuples Code signals: Break, RDD, Iterable, Coordinate	Break tuple in RDD to two tuples Break tuple in RDD to two tuples iterable apache-spark rdd scala Break RDD Iterable Coordinate Break tuple in RDD to two tuples I have an RDD[(String, (Iterable[Int], Iterable[Coordinate]))] What I would like to do, is to break the Iterable[Int] to tuples, that each one will be like (St...	[ 0.00714111328125, -0.017822265625, -0.0245361328125, 0.0206298828125, 0.00028228759765625, 0.005859375, 0.0123291015625, 0.01544189453125, 0.00157928466796875, 0.0162353515625, 0.01300048828125, -0.009033203125, -0.00830078125, 0.013427734375, 0.001373291015625, 0.0159912109375, 0.01...	[ 131904, 370, 8705, 23, 627, 24057, 47, 6626, 99726, 17, 720, 2886, 2241, 1430, 10237, 1690, 4028, 146232, 87, 1311, 43297, 71713, 214, 568, 18, 1884, 36356, 4153, 12638, 1632, 10625, 27781, 27198, 11249, 16940, 83, 152653, 11 ]	[ 0.1826171875, 0.15673828125, 0.2081298828125, 0.0634765625, 0.10638427734375, 0.2423095703125, 0.1318359375, 0.1685791015625, 0.2259521484375, 0.006866455078125, 0.1805419921875, 0.1844482421875, 0.08416748046875, 0.0703125, 0.155517578125, 0.07666015625, 0.185302734375, 0.22058105...	embed
21866096_c0	21866096	scala	0	Title: Making a Contravariant Object Problem title: Making a Contravariant Object Tags: contravariance, scala Problem: Making a Contravariant Object Code signals: Making, Contravariant, Object, ContraObj, ContraObj.scala:4	Making a Contravariant Object Making a Contravariant Object contravariance scala Making Contravariant Object ContraObj ContraObj.scala:4 Making a Contravariant Object I'm trying to create a class that's contravariant: But the following compile-time error occurs: How can I resolve this error?	[ 0.017333984375, -0.005218505859375, -0.01409912109375, 0.006866455078125, 0.009033203125, -0.025390625, -0.0166015625, 0.0277099609375, -0.0014495849609375, 0.002471923828125, -0.01116943359375, -0.03173828125, 0.02978515625, 0.020751953125, -0.00592041015625, -0.013671875, -0.001022...	[ 13676, 214, 45380, 162591, 134549, 10, 2304, 21690, 7154, 146232, 46471, 170, 62309, 617, 31577, 28282, 18507, 7, 4966, 70, 25632, 9969, 1340, 6032, 18499, 74918, 831, 103608, 903 ]	[ 0.10498046875, 0.06634521484375, 0.2398681640625, 0.27099609375, 0.205078125, 0.024993896484375, 0.2288818359375, 0.2039794921875, 0.039581298828125, 0.1488037109375, 0.151123046875, 0.1517333984375, 0.1434326171875, 0.1409912109375, 0.0841064453125, 0.130615234375, 0.2044677734375, ...	embed
24194998_c0	24194998	scala	0	Title: Scala generics not clear to me Problem title: Scala generics not clear to me Tags: generics, scala Problem: Scala generics not clear to me class A { def x(): Unit = { println("tftf") } } Code signals: Scala, Unit, x.x	Scala generics not clear to me Scala generics not clear to me generics scala Scala Unit x.x Scala generics not clear to me I get compile error - type mismatch; found : x.type (with underlying type A) required: ?{def x: ?} Note that implicit conversions are not applicable because they are ambiguous: both method any2Ensu...	[ 0.0179443359375, 0.024169921875, 0.018798828125, -0.01226806640625, -0.002471923828125, -0.0206298828125, 0.00994873046875, -0.009521484375, 0.0177001953125, 0.0186767578125, -0.018798828125, -0.022705078125, 0.0146484375, 0.005340576171875, 0.0169677734375, -0.0228271484375, 0.01696...	[ 152653, 11, 189534, 7, 959, 34735, 47, 163, 146232, 46640, 1022, 425, 2046, 9969, 1340, 18499, 10644, 1239, 98753, 14037, 5, 50986, 76228, 1379, 538, 62, 56065, 705, 112, 420, 12, 165164, 142477, 152431, 920, 12282, 55300, 2499, 304, 7768...	[ 0.208984375, 0.12255859375, 0.2386474609375, 0.061553955078125, 0.113037109375, 0.199462890625, 0.119140625, 0.1170654296875, 0.2049560546875, 0.1297607421875, 0.1273193359375, 0.05511474609375, 0.011993408203125, 0.1317138671875, 0.167236328125, 0.1903076171875, 0.2056884765625, 0...	embed
40624050_c0	40624050	scala	0	Title: Groupby Array[Array[String]] Scala Problem title: Groupby Array[Array[String]] Scala Tags: arrays, dictionary, group-by, scala Problem: Groupby Array[Array[String]] Scala Code signals: Groupby, Array, Scala, A:Map, Map	Groupby Array[Array[String]] Scala Groupby Array[Array[String]] Scala arrays dictionary group-by scala Groupby Array Scala A:Map Map Groupby Array[Array[String]] Scala I have an Array[Array[String]] like this: I would like to groupby on the first element of each sub Array and get a Map like this: I don't know how to ma...	[ 0.027099609375, 0.005767822265625, -0.01104736328125, 0.0150146484375, -0.0157470703125, -0.01373291015625, 0.0133056640625, 0.0072021484375, 0.017578125, 0.03466796875, -0.00701904296875, 0.01202392578125, 0.01507568359375, 0.0189208984375, -0.0179443359375, -0.01116943359375, -0.00...	[ 10760, 1272, 69253, 53, 7614, 7092, 71713, 214, 152653, 11, 10298, 4778, 45, 10763, 21115, 146232, 62, 166179, 42719, 765, 1884, 903, 2806, 47, 98, 5117, 12830, 12638, 1614, 2046, 3714, 3642, 45258, 67, 16750, 6528 ]	[ 0.194580078125, 0.233642578125, 0.174560546875, 0.121826171875, 0.053131103515625, 0.134765625, 0.115234375, 0.044952392578125, 0.16357421875, 0.09783935546875, 0.138671875, 0.07550048828125, 0.00830078125, 0.07733154296875, 0.212158203125, 0.2255859375, 0.07818603515625, 0.1427001...	embed
70006290_c0	70006290	scala	0	Title: Scala dataframe get last 6 months latest data Problem title: Scala dataframe get last 6 months latest data Tags: apache-spark, dataframe, scala Problem: Scala dataframe get last 6 months latest data Code signals: Scala	Scala dataframe get last 6 months latest data Scala dataframe get last 6 months latest data apache-spark dataframe scala Scala Scala dataframe get last 6 months latest data I have column in dataframe like below I need to filter the data based on this date and I want to get last 6 moths data only , could anyone please s...	[ 0.02978515625, 0.023193359375, 0.0003376007080078125, 0.0098876953125, 0.00701904296875, -0.0235595703125, -0.000583648681640625, -0.01348876953125, -0.0096435546875, -0.00012302398681640625, 0.0016326904296875, -0.0244140625, 0.006622314453125, -0.0247802734375, 0.017578125, 0.0121459...	[ 152653, 11, 2053, 160328, 2046, 4568, 305, 21775, 42850, 2241, 1430, 10237, 146232, 3365, 316, 19, 35064, 3871, 46312, 35509, 903, 5622, 3444, 47, 2080, 127, 7, 4734, 42459 ]	[ 0.2061767578125, 0.13916015625, 0.1990966796875, 0.261962890625, 0.09600830078125, 0.1259765625, 0.1524658203125, 0.1827392578125, 0.1588134765625, 0.0823974609375, 0.07366943359375, 0.139892578125, 0.2138671875, 0.0755615234375, 0.0963134765625, 0.00341796875, 0.03912353515625, 0....	embed
22889083_c0	22889083	scala	0	Title: Type mismatch - what is returning Unit type? Problem title: Type mismatch - what is returning Unit type? Tags: scala Problem: Type mismatch - what is returning Unit type? Code signals: Type, Unit, Users, hello.scala:62	Type mismatch - what is returning Unit type? Type mismatch - what is returning Unit type? scala Type Unit Users hello.scala:62 Type mismatch - what is returning Unit type? I get an error like this. So, what is returning Unit type? Is it the "if" expression? I expect the program to print "0".	[ 0.0179443359375, 0.005828857421875, 0.01336669921875, -0.0028228759765625, -0.00390625, -0.011962890625, -0.0059814453125, 0.00408935546875, 0.030029296875, 0.00408935546875, -0.0218505859375, -0.012451171875, 0.00848388671875, -0.0067138671875, 0.017578125, 0.0038604736328125, 0.021...	[ 60457, 1239, 98753, 20, 2367, 83, 30646, 214, 46640, 10644, 32, 146232, 53400, 33600, 31, 7, 62309, 10837, 18499, 1884, 903, 2071, 442, 3190, 125195, 41206, 1528, 28412, 2389 ]	[ 0.2454833984375, 0.1737060546875, 0.305908203125, 0.010467529296875, 0.095947265625, 0.095947265625, 0.1832275390625, 0.0938720703125, 0.2362060546875, 0.2373046875, 0.01129150390625, 0.183349609375, 0.08544921875, 0.0361328125, 0.0252532958984375, 0.027313232421875, 0.176025390625, ...	embed
19887917_c0	19887917	scala	0	Title: sbt stage : not a valid command Problem title: sbt stage : not a valid command Tags: scala, heroku, sbt Problem: sbt stage : not a valid command Code signals: /.../activator-akka-spray/project, Loading, Set, Not, Expected	sbt stage : not a valid command sbt stage : not a valid command scala heroku sbt /.../activator-akka-spray/project Loading Set Not Expected sbt stage : not a valid command I am trying to follow the tutorial for scala and spray with this great template : http://typesafe.com/activator/template/activator-akka-spray Then I...	[ -0.0020599365234375, 0.0244140625, -0.00726318359375, 0.01409912109375, -0.01495361328125, 0.0107421875, 0.002349853515625, -0.006195068359375, -0.002899169921875, 0.0400390625, -0.01141357421875, -0.01007080078125, 0.0027008056640625, 0.0130615234375, -0.004486083984375, -0.0129394531...	[ 91, 16723, 36541, 959, 10, 35604, 75101, 146232, 40814, 319, 111438, 1290, 344, 161, 198552, 95322, 228006, 19943, 11205, 60075, 13, 31577, 28960, 57143, 91718, 6782, 110934, 50986, 115840, 2982, 92558, 188336, 56889, 8, 13158, 53, 18548, 908...	[ 0.10107421875, 0.234375, 0.234375, 0.1553955078125, 0.076904296875, 0.203125, 0.2509765625, 0.2431640625, 0.125, 0.1727294921875, 0.1416015625, 0.085205078125, 0.06298828125, 0.1282958984375, 0.200439453125, 0.09161376953125, 0.2149658203125, 0.148193359375, 0.087646484375, 0.0...	embed
63441361_c0	63441361	scala	0	Title: Fill the data based on the date ranges in spark Problem title: Fill the data based on the date ranges in spark Tags: scala, pyspark, apache-spark Problem: Fill the data based on the date ranges in spark Code signals: Fill	Fill the data based on the date ranges in spark Fill the data based on the date ranges in spark scala pyspark apache-spark Fill Fill the data based on the date ranges in spark I have sample dataset, I want to fill the dates with 0 based on start date and end date (from 2016-01-01 to 2016-01-08). Based on the solution f...	[ 0.004791259765625, 0.00592041015625, -0.021484375, 0.02978515625, -0.0240478515625, -0.01080322265625, 0.021484375, 0.0057373046875, 0.00390625, 0.037109375, -0.01544189453125, -0.01434326171875, 0.013671875, 0.0074462890625, 0.006591796875, -0.004638671875, 0.00244140625, 0.001739...	[ 140423, 70, 2053, 35509, 98, 5622, 37457, 7, 23, 131999, 146232, 57756, 10237, 2241, 1430, 121413, 3509, 3444, 26292, 112474, 678, 757, 4034, 136, 3564, 161063, 780, 45669, 6746, 47, 109168, 29806, 29479, 2878, 214, 132283, 160328, 3365, 31...	[ 0.22802734375, 0.02978515625, 0.1854248046875, 0.1468505859375, 0.05010986328125, 0.15185546875, 0.199462890625, 0.031951904296875, 0.05560302734375, 0.278076171875, 0.1953125, 0.0670166015625, 0.2225341796875, 0.0977783203125, 0.0853271484375, 0.14404296875, 0.10791015625, 0.03417...	embed
61273078_c0	61273078	scala	0	Title: List type mismatch when appending in Scala Problem title: List type mismatch when appending in Scala Tags: scala-collections, scala Problem: List type mismatch when appending in Scala Code signals: List, Scala, xs.appended	List type mismatch when appending in Scala List type mismatch when appending in Scala scala-collections scala List Scala xs.appended List type mismatch when appending in Scala Let's say I have following code: The last line does not compile with an error: If I remove the explicit type declaration, then the code compiles...	[ 0.010009765625, 0.00537109375, 0.01171875, -0.023193359375, 0.0001888275146484375, -0.00634765625, -0.01220703125, 0.00958251953125, 0.0296630859375, 0.0341796875, 0.0096435546875, -0.0216064453125, -0.0017852783203125, -0.0111083984375, 0.00885009765625, -0.01123046875, 0.0162353515...	[ 32036, 10644, 1239, 98753, 1747, 96819, 152653, 11, 146232, 196352, 1022, 9007, 2285, 25632, 18151, 4568, 13315, 959, 9969, 1340, 18499, 87388, 143726, 21635, 2773, 2967, 26008, 195625, 32354, 27875, 114689, 48141, 5303, 171859, 18, 49146, 3582...	[ 0.1783447265625, 0.1971435546875, 0.106201171875, 0.243896484375, 0.07965087890625, 0.10888671875, 0.169189453125, 0.08758544921875, 0.1737060546875, 0.0989990234375, 0.043182373046875, 0.035125732421875, 0.0745849609375, 0.0171356201171875, 0.121826171875, 0.078369140625, 0.06591796...	embed
42424322_c0	42424322	scala	0	Title: Converting matrix to array row by row in Breeze Problem title: Converting matrix to array row by row in Breeze Tags: scala, scala-breeze Problem: Converting matrix to array row by row in Breeze Code signals: Converting, Breeze	Converting matrix to array row by row in Breeze Converting matrix to array row by row in Breeze scala scala-breeze Converting Breeze Converting matrix to array row by row in Breeze Trying to convert a DenseMatrix to an array row by row. Method .toArray does it column by column. Should be [-0.04202212765812874, 0.001493...	[ 0.0186767578125, 0.004852294921875, 0.0006866455078125, 0.007476806640625, 0.00121307373046875, 0.0033416748046875, -0.01055908203125, 0.00823974609375, -0.0022735595703125, 0.004547119140625, 0.0166015625, -0.01953125, -0.00250244140625, -0.01043701171875, 0.01202392578125, -0.0190429...	[ 1657, 814, 50944, 425, 47, 10298, 53, 15555, 390, 6499, 6659, 1916, 23, 146232, 4134, 40858, 96760, 1575, 184, 4613, 87427, 74644, 188, 7614, 7092, 14602, 3365, 316, 151117, 186, 23320, 7709, 151159, 192066, 81764, 16360, 37509, 111339, 311...	[ 0.023590087890625, 0.1263427734375, 0.2010498046875, 0.06634521484375, 0.066650390625, 0.1728515625, 0.1441650390625, 0.197998046875, 0.1182861328125, 0.18359375, 0.2347412109375, 0.0340576171875, 0.0186920166015625, 0.17041015625, 0.1328125, 0.0704345703125, 0.1534423828125, 0.181...	embed
54838047_c0	54838047	scala	0	Title: How to run sample Scala vertx project Problem title: How to run sample Scala vertx project Tags: scala, vert.x Problem: How to run sample Scala vertx project Code signals: How, Scala, vertx.deployVerticle, HttpVerticle, vert.x	How to run sample Scala vertx project How to run sample Scala vertx project scala vert.x How Scala vertx.deployVerticle HttpVerticle vert.x How to run sample Scala vertx project I started new project using sbt new vert-x3/vertx-scala.g8 command. In sbt console entered following command : vertx.deployVerticle(nameForVer...	[ 0.015869140625, 0.01263427734375, 0.0030670166015625, 0.0233154296875, -0.00830078125, -0.01312255859375, 0.0037994384765625, -0.004425048828125, -0.01361083984375, -0.0177001953125, 0.0240478515625, -0.006103515625, 0.01348876953125, 0.0093994140625, 0.0093994140625, -0.00543212890625...	[ 11249, 47, 11675, 121413, 152653, 11, 24732, 425, 13452, 146232, 112, 13158, 15896, 9523, 133, 3062, 26859, 3525, 16723, 40061, 11549, 7, 62309, 1019, 75101, 91, 130250, 30957, 25632, 53, 11627, 18537, 18499, 113771, 98441, 58735, 15769, 3210...	[ 0.06585693359375, 0.0506591796875, 0.1959228515625, 0.288330078125, 0.1883544921875, 0.142822265625, 0.240478515625, 0.177978515625, 0.175048828125, 0.2066650390625, 0.050628662109375, 0.133544921875, 0.142578125, 0.132080078125, 0.06427001953125, 0.06890869140625, 0.05487060546875, ...	embed
62753778_c0	62753778	scala	0	Title: Exploding column of JSON array Problem title: Exploding column of JSON array Tags: apache-spark-sql, scala, apache-spark Problem: Exploding column of JSON array Code signals: Exploding, JSON, _name, BankAccount, _value, Balance	Exploding column of JSON array Exploding column of JSON array apache-spark-sql scala apache-spark Exploding JSON _name BankAccount _value Balance Exploding column of JSON array I'm struggling with an issue of exploding a json array column with Spark. I have a dataframe that looks like: and I want it to be as Of course ...	[ 0.01409912109375, -0.004241943359375, -0.037109375, 0.04541015625, -0.0263671875, -0.004486083984375, -0.0020294189453125, 0.01025390625, 0.0162353515625, 0.038330078125, -0.00185394287109375, 0.007476806640625, -0.00543212890625, -0.0086669921875, -0.00933837890625, -0.0072021484375, ...	[ 98873, 6238, 3365, 316, 19, 111, 821, 58627, 10298, 53, 2241, 1430, 10237, 7, 99247, 146232, 11627, 4932, 39450, 71013, 27494, 131176, 237875, 31089, 24649, 1647, 1681, 678, 152810, 2053, 160328, 33342, 1884, 3444, 186, 237, 442, 959, 6183,...	[ 0.224365234375, 0.09588623046875, 0.1451416015625, 0.1796875, 0.0721435546875, 0.06671142578125, 0.1273193359375, 0.2225341796875, 0.1732177734375, 0.107421875, 0.07049560546875, 0.0924072265625, 0.15234375, 0.0101318359375, 0.148681640625, 0.15771484375, 0.09332275390625, 0.109375...	embed
51455488_c0	51455488	scala	0	Title: binary tree creation in SCALA Problem title: binary tree creation in SCALA Tags: tree, binary, scala Problem: binary tree creation in SCALA Code signals: SCALA, list:List, BinTree, Nil, Leaf, xs.length, Branch, xs.take, xs.drop	binary tree creation in SCALA binary tree creation in SCALA tree binary scala SCALA list:List BinTree Nil Leaf xs.length Branch xs.take xs.drop binary tree creation in SCALA but its saying :- error: not found: type BinTree :-error: not found: value Branch :-error: not found: value Leaf	[ 0.009521484375, 0.0234375, 0.00125885009765625, -0.009521484375, 0.0145263671875, 0.00537109375, -0.01300048828125, -0.0306396484375, 0.0400390625, -0.009765625, -0.033935546875, -0.017822265625, 0.018310546875, -0.0096435546875, -0.00115203857421875, 0.005828857421875, 0.01965332031...	[ 2394, 6635, 53201, 166635, 17715, 19696, 23, 146232, 5303, 154663, 16666, 62731, 77175, 636, 2407, 1022, 23986, 21110, 206, 78219, 7, 138810, 6863, 54433, 18499, 959, 14037, 10644, 13, 188800, 34292 ]	[ 0.1798095703125, 0.08245849609375, 0.2288818359375, 0.146728515625, 0.1376953125, 0.2227783203125, 0.012969970703125, 0.2353515625, 0.1171875, 0.0931396484375, 0.16064453125, 0.273681640625, 0.1759033203125, 0.054107666015625, 0.167236328125, 0.05877685546875, 0.0648193359375, 0.14...	embed
40411608_c0	40411608	scala	0	Title: Reduce Key with Ordered List of Values Problem title: Reduce Key with Ordered List of Values Tags: scala, apache-spark Problem: Reduce Key with Ordered List of Values Code signals: Reduce, Key, Ordered, List, Values, Value, Date	Reduce Key with Ordered List of Values Reduce Key with Ordered List of Values scala apache-spark Reduce Key Ordered List Values Value Date Reduce Key with Ordered List of Values I have the following RDD: And I would like to transform it to the following RDD: Which is Key, List(Value) -- where the list of Values is orde...	[ 0.01556396484375, -0.0191650390625, -0.01495361328125, 0.00244140625, -0.00177001953125, -0.007415771484375, 0.00119781494140625, -0.01031494140625, 0.0008392333984375, 0.030517578125, 0.005340576171875, -0.003326416015625, 0.0166015625, -0.0172119140625, -0.015380859375, -0.0050048828...	[ 853, 106357, 26824, 678, 81206, 297, 32036, 111, 190060, 146232, 2241, 1430, 10237, 25512, 25632, 627, 24057, 1884, 47, 27198, 132, 856, 50770, 5303, 12989, 390, 42518, 112474, 3164, 22799, 36998, 756, 142424, 2806, 7464, 163846 ]	[ 0.160400390625, 0.2081298828125, 0.2279052734375, 0.087646484375, 0.201904296875, 0.095703125, 0.1776123046875, 0.040771484375, 0.197509765625, 0.1593017578125, 0.07965087890625, 0.0872802734375, 0.1607666015625, 0.120361328125, 0.056243896484375, 0.06781005859375, 0.19775390625, 0...	embed
44678411_c0	44678411	scala	0	Title: How to change order of string value in column Problem title: How to change order of string value in column Tags: scala, apache-spark, apache-spark-sql Problem: How to change order of string value in column Code signals: How, Loc	How to change order of string value in column How to change order of string value in column scala apache-spark apache-spark-sql How Loc How to change order of string value in column how to use a scala udf to change the order of a string i want to convert it like this order [3,1,5,7,6,(8-16),4,2]	[ 0.0203857421875, -0.01177978515625, -0.0233154296875, 0.0240478515625, 0.007354736328125, 0.002105712890625, 0.0089111328125, -0.03369140625, -0.0167236328125, 0.049560546875, 0.000141143798828125, -0.004547119140625, -0.0028228759765625, -0.003692626953125, 0.003143310546875, -0.00604...	[ 11249, 47, 15549, 12989, 111, 79315, 34292, 23, 3365, 316, 19, 146232, 2241, 1430, 10237, 99247, 88784, 4527, 1872, 420, 70, 3444, 96760, 1884, 903, 122101, 57626, 168628, 1019, 13528, 617, 90173 ]	[ 0.0760498046875, 0.079833984375, 0.205078125, 0.221435546875, 0.1002197265625, 0.2484130859375, 0.1650390625, 0.031005859375, 0.1490478515625, 0.168701171875, 0.00408935546875, 0.210693359375, 0.04107666015625, 0.06268310546875, 0.145263671875, 0.1685791015625, 0.143798828125, 0.04...	embed
44988841_c0	44988841	scala	0	Title: Force tableswitch instead of lookupswitch Problem title: Force tableswitch instead of lookupswitch Tags: java, switch-statement, jvm, scala, pattern-matching Problem: Force tableswitch instead of lookupswitch Code signals: Force	Force tableswitch instead of lookupswitch Force tableswitch instead of lookupswitch java switch-statement jvm scala pattern-matching Force Force tableswitch instead of lookupswitch Scala 2.11 compiles a match expression over a relatively dense Int range into a lookupswitch : Whereas Java 7 compiles the equivalent switc...	[ 0.0018157958984375, 0.00112152099609375, -0.00133514404296875, -0.004913330078125, -0.00592041015625, -0.03173828125, 0.004302978515625, 0.01141357421875, -0.0084228515625, 0.023193359375, 0.01544189453125, 0.0302734375, -0.0206298828125, 0.0084228515625, 0.001708984375, 0.012390136718...	[ 59591, 23180, 131519, 64457, 6713, 74854, 79, 330, 101089, 61340, 1647, 334, 39, 146232, 103510, 98753, 152653, 11, 787, 1662, 9969, 1340, 14858, 125195, 645, 35845, 168, 360, 18, 37457, 3934, 41925, 361, 183234, 63805, 3917, 37772, 12663 ]	[ 0.1964111328125, 0.2308349609375, 0.219970703125, 0.10394287109375, 0.10986328125, 0.08905029296875, 0.0877685546875, 0.1522216796875, 0.1883544921875, 0.1387939453125, 0.019378662109375, 0.0684814453125, 0.082763671875, 0.2093505859375, 0.176513671875, 0.1600341796875, 0.20349121093...	embed
53851118_c0	53851118	scala	0	Title: sparkSQL dataframe how to split to some column Problem title: sparkSQL dataframe how to split to some column Tags: scala, apache-spark, apache-spark-sql, apache-spark-mllib Problem: sparkSQL dataframe how to split to some column	sparkSQL dataframe how to split to some column sparkSQL dataframe how to split to some column scala apache-spark apache-spark-sql apache-spark-mllib sparkSQL dataframe how to split to some column as follow the "probability" type is how split the probability into 2 column thanks	[ 0.01129150390625, -0.0267333984375, -0.02392578125, 0.040283203125, -0.013427734375, -0.0189208984375, 0.0135498046875, -0.0031585693359375, -0.0096435546875, 0.0252685546875, 0.00299072265625, -0.0257568359375, -0.00982666015625, -0.000518798828125, -0.01495361328125, -0.0164794921875...	[ 131999, 158897, 2053, 160328, 3642, 47, 65450, 3060, 3365, 316, 146232, 2241, 1430, 10237, 99247, 5612, 19, 28960, 70, 79122, 41159, 10644, 37242, 2481, 3934, 116 ]	[ 0.22119140625, 0.26025390625, 0.0867919921875, 0.2095947265625, 0.03985595703125, 0.1671142578125, 0.2198486328125, 0.0838623046875, 0.1781005859375, 0.185546875, 0.1697998046875, 0.050323486328125, 0.051177978515625, 0.161376953125, 0.154541015625, 0.114990234375, 0.021697998046875,...	embed
14578662_c0	14578662	scala	0	Title: Type mismatch with map and flatMap Problem title: Type mismatch with map and flatMap Tags: dictionary, scala, types Problem: Type mismatch with map and flatMap Code signals: Type, List, Some, None, res0, Option, res0.flatMap, res9	Type mismatch with map and flatMap Type mismatch with map and flatMap dictionary scala types Type List Some None res0 Option res0.flatMap res9 Type mismatch with map and flatMap While trying to play with Options in scala I have come across this peculiar problem. I started off with creating a List[Option[Int]] as follow...	[ 0.0218505859375, 0.006591796875, -0.018798828125, -0.01025390625, -0.0130615234375, -0.03369140625, 0.0020751953125, -0.004638671875, 0.018798828125, 0.013427734375, -0.0166015625, -0.00958251953125, 0.01422119140625, 0.0166015625, 0.006591796875, -0.0020751953125, 0.003997802734375,...	[ 60457, 1239, 98753, 678, 22288, 136, 49878, 166179, 10763, 146232, 52895, 32036, 438, 3332, 2389, 86769, 150632, 1126, 31577, 11301, 152448, 105482, 2967, 105233, 39029, 18, 37842, 66044, 47, 106, 645, 112820, 5303, 18499, 4613, 26783, 5701, ...	[ 0.1834716796875, 0.110595703125, 0.2425537109375, 0.0477294921875, 0.158447265625, 0.0169525146484375, 0.1939697265625, 0.1981201171875, 0.046783447265625, 0.1995849609375, 0.1688232421875, 0.1116943359375, 0.0239715576171875, 0.0811767578125, 0.1212158203125, 0.1832275390625, 0.1923...	embed
9680630_c0	9680630	scala	0	Title: Use context bound in type alias Problem title: Use context bound in type alias Tags: scala Problem: Use context bound in type alias Is it possible to use context bounds in type aliases in Scala? e.g type U = A : B Code signals: Use	Use context bound in type alias Use context bound in type alias scala Use Use context bound in type alias Is it possible to use context bounds in type aliases in Scala? e.g	[ -0.00183868408203125, -0.002960205078125, 0.012451171875, -0.00567626953125, -0.01080322265625, 0.004852294921875, -0.00787353515625, -0.002288818359375, -0.00946044921875, -0.00194549560546875, 0.0079345703125, -0.033935546875, 0.0252685546875, 0.0128173828125, 0.01104736328125, 0.004...	[ 36836, 43701, 99091, 23, 10644, 55109, 146232, 7722, 4527, 7, 90, 152653, 11 ]	[ 0.09100341796875, 0.2196044921875, 0.2091064453125, 0.01029205322265625, 0.1737060546875, 0.2354736328125, 0.2218017578125, 0.10992431640625, 0.1021728515625, 0.03411865234375, 0.07574462890625, 0.200927734375, 0.1556396484375 ]	embed
60950611_c0	60950611	scala	0	Title: Spark add same row number based on value in cell Problem title: Spark add same row number based on value in cell Tags: scala, java, apache-spark Problem: Spark add same row number based on value in cell Code signals: Spark, df.show	Spark add same row number based on value in cell Spark add same row number based on value in cell scala java apache-spark Spark df.show Spark add same row number based on value in cell I have data as follows I want this to be converted as with out changing the order of the given input.	[ -0.01129150390625, 0.02197265625, -0.00787353515625, 0.02392578125, -0.006561279296875, -0.027587890625, 0.011962890625, -0.0042724609375, 0.005462646484375, 0.007171630859375, -0.02587890625, -0.010009765625, -0.0054931640625, 0.0108642578125, -0.0072021484375, -0.01202392578125, -0...	[ 152810, 15190, 5701, 15555, 14012, 35509, 98, 34292, 23, 38750, 146232, 79, 330, 2241, 1430, 7, 10237, 420, 31374, 2053, 28960, 3444, 117176, 237, 1810, 151134, 12989, 107730 ]	[ 0.253173828125, 0.146728515625, 0.137451171875, 0.2122802734375, 0.161376953125, 0.1214599609375, 0.051971435546875, 0.1912841796875, 0.05487060546875, 0.23291015625, 0.150390625, 0.06689453125, 0.0977783203125, 0.040252685546875, 0.0423583984375, 0.00493621826171875, 0.1666259765625...	embed
52790360_c0	52790360	scala	0	Title: Spark DataFrame: group by time gaps Problem title: Spark DataFrame: group by time gaps Tags: spark-streaming, scala, apache-spark, apache-spark-sql Problem: Spark DataFrame: group by time gaps Code signals: Spark, DataFrame, user_id	Spark DataFrame: group by time gaps Spark DataFrame: group by time gaps spark-streaming scala apache-spark apache-spark-sql Spark DataFrame user_id Spark DataFrame: group by time gaps My Spark DataFrame contains the following data: I need to count how many records each user has with time difference less than 15 min. Th...	[ 0.01123046875, -0.0096435546875, 0.01513671875, 0.005126953125, 0.002777099609375, 0.007293701171875, -0.00262451171875, 0.006805419921875, 0.0072021484375, -0.0208740234375, -0.008056640625, -0.0029449462890625, -0.004486083984375, 0.000885009765625, -0.004913330078125, 0.000226020812...	[ 152810, 11809, 108386, 282, 21115, 390, 1733, 43599, 131999, 86429, 214, 146232, 2241, 1430, 7, 10237, 99247, 38937, 532, 70541, 25632, 2053, 3871, 47, 54529, 5941, 115923, 12638, 1556, 60212, 40715, 423, 881, 16750, 5608, 6713, 1884, 903 ]	[ 0.291748046875, 0.1368408203125, 0.227294921875, 0.1446533203125, 0.2027587890625, 0.1104736328125, 0.1744384765625, 0.2452392578125, 0.2568359375, 0.17724609375, 0.0292816162109375, 0.1827392578125, 0.0882568359375, 0.09234619140625, 0.0230712890625, 0.1983642578125, 0.176513671875,...	embed
51417902_c0	51417902	scala	0	Title: Convert a list of lists to dataframe in spark scala Problem title: Convert a list of lists to dataframe in spark scala Tags: scala, apache-spark Problem: Convert a list of lists to dataframe in spark scala Code signals: Convert, List	Convert a list of lists to dataframe in spark scala Convert a list of lists to dataframe in spark scala scala apache-spark Convert List Convert a list of lists to dataframe in spark scala Now I have a list of lists like this: The output format I expect is following: How to do the convert in spark scala? I sincerely hop...	[ 0.01348876953125, 0.01470947265625, -0.01116943359375, 0.01239013671875, -0.002227783203125, -0.00994873046875, 0.01361083984375, 0.016845703125, -0.0146484375, 0.041259765625, 0.0113525390625, -0.029052734375, 0.0240478515625, -0.000942230224609375, -0.0011138916015625, -0.0185546875,...	[ 1657, 11549, 5303, 111, 7, 47, 2053, 160328, 131999, 146232, 2241, 1430, 10237, 32036, 23, 1884, 903, 140992, 9384, 41206, 25632, 11249, 54, 96760, 43699, 15673, 4358 ]	[ 0.045318603515625, 0.1527099609375, 0.2578125, 0.03173828125, 0.097900390625, 0.0828857421875, 0.1199951171875, 0.263671875, 0.2349853515625, 0.24609375, 0.0753173828125, 0.090087890625, 0.18115234375, 0.224853515625, 0.08477783203125, 0.0204010009765625, 0.004425048828125, 0.12756...	embed
36210356_c0	36210356	scala	0	Title: Add maven docsets to zeal Problem title: Add maven docsets to zeal Tags: zeal, scala, maven Problem: Add maven docsets to zeal According to the dash website there are maven docsets available. How do I add them to zeal? Code signals: Add	Add maven docsets to zeal Add maven docsets to zeal zeal scala maven Add Add maven docsets to zeal According to the dash website there are maven docsets available. How do I add them to zeal?	[ 0.005401611328125, 0.0196533203125, -0.0089111328125, -0.021484375, 0.004150390625, 0.0089111328125, -0.01348876953125, -0.007476806640625, 0.004791259765625, -0.0281982421875, 0.020263671875, -0.005615234375, 0.00445556640625, -0.01409912109375, -0.003326416015625, -0.012451171875, ...	[ 29117, 291, 1353, 51584, 3509, 7, 47, 932, 289, 146232, 70, 381, 127, 4165, 19882, 11249, 54, 15190, 2856 ]	[ 0.13232421875, 0.1041259765625, 0.2410888671875, 0.19775390625, 0.254638671875, 0.1470947265625, 0.14599609375, 0.2060546875, 0.2037353515625, 0.1805419921875, 0.0005068778991699219, 0.147705078125, 0.141845703125, 0.059661865234375, 0.132080078125, 0.04595947265625, 0.01622009277343...	embed
57140562_c0	57140562	scala	0	Title: Apache Spark, How to get time interval Problem title: Apache Spark, How to get time interval Tags: scala, apache-spark Problem: Apache Spark, How to get time interval Code signals: Apache, Spark, How, start_time, end_time, positive_count	Apache Spark, How to get time interval Apache Spark, How to get time interval scala apache-spark Apache Spark How start_time end_time positive_count Apache Spark, How to get time interval I have sensor data , which gives signal frequently as shown, here I am trying find time interval of positive signal where signal =1....	[ -0.0089111328125, -0.004302978515625, 0.006378173828125, 0.02099609375, 0.009765625, -0.0159912109375, 0.00958251953125, 0.01397705078125, -0.002532958984375, -0.049072265625, 0.0201416015625, -0.0017242431640625, -0.002960205078125, 0.0186767578125, 0.01171875, -0.009033203125, 0.00...	[ 9795, 1430, 152810, 11249, 2046, 1733, 51514, 146232, 2241, 10237, 4034, 6032, 3564, 24491, 71013, 43111, 2053, 26073, 195409, 127887, 31577, 7413, 33000, 360, 84751, 140992, 37842, 22288, 132, 32354, 214493, 15555, 142424 ]	[ 0.1458740234375, 0.12939453125, 0.27099609375, 0.03778076171875, 0.105712890625, 0.1822509765625, 0.28369140625, 0.192138671875, 0.0894775390625, 0.155517578125, 0.1143798828125, 0.152587890625, 0.08807373046875, 0.1544189453125, 0.1343994140625, 0.1673583984375, 0.056365966796875, ...	embed
4736174_c0	4736174	scala	0	Title: var_dump() in Scala Problem title: var_dump() in Scala Tags: scala Problem: var_dump() in Scala Is there any convenient way to dump all members of a specified object in Scala, like var_dump() , PHP function ? Code signals: var_dump, Scala	var_dump() in Scala var_dump() in Scala scala var_dump Scala var_dump() in Scala Is there any convenient way to dump all members of a specified object in Scala, like var_dump() , PHP function ?	[ 0.013427734375, 0.0062255859375, -0.004425048828125, 0.00604248046875, -0.01220703125, 0.0106201171875, -0.0250244140625, 0.0023345947265625, -0.028564453125, -0.01312255859375, 0.0126953125, -0.021484375, 0.036376953125, 0.006072998046875, 0.0159912109375, -0.01092529296875, -0.0125...	[ 285, 693, 2676, 23, 152653, 11, 454, 132, 146232, 142267, 3917, 47, 115, 756, 43032, 58735, 36746, 47302, 32354 ]	[ 0.211669921875, 0.1932373046875, 0.2353515625, 0.0867919921875, 0.2410888671875, 0.1739501953125, 0.0240631103515625, 0.052642822265625, 0.215576171875, 0.1201171875, 0.042816162109375, 0.04833984375, 0.182861328125, 0.11224365234375, 0.188232421875, 0.10821533203125, 0.16064453125, ...	embed
31204805_c4	31204805	scala	4	$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC, VAL2973, linee339bfc6d4e74d779737c9ccd8c21fd8158.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC, linee339bfc6d4e74d779737c9ccd8c21fd8158.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC	$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC, VAL2973, linee339bfc6d4e74d779737c9ccd8c21fd8158.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC, linee339bfc6d4e74d779737c9ccd8c21fd8158.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC	[ -0.009033203125, -0.00274658203125, -0.00909423828125, 0.006378173828125, 0.0029296875, 0.0244140625, 0.0172119140625, 0.017333984375, 0.009033203125, -0.00823974609375, 0.00004076957702636719, -0.01373291015625, 0.01177978515625, -0.0137939453125, -0.0079345703125, -0.0079345703125, ...	[ 3650, 4369, 14, 434, 441, 4, 55991, 142173, 363, 13315, 13, 131518, 150598, 910, 71, 617, 16360, 104656, 115252, 238, 1126, 10060, 1019, 3117, 420, 13556, 10057, 5, 39116 ]	[ 0.048980712890625, 0.049896240234375, 0.1466064453125, 0.183837890625, 0.197998046875, 0.1539306640625, 0.34228515625, 0.360595703125, 0.30810546875, 0.270263671875, 0.080810546875, 0.23046875, 0.0943603515625, 0.01666259765625, 0.1192626953125, 0.0188751220703125, 0.14404296875, 0...	embed
18677158_c0	18677158	scala	0	Title: How to collect items in a list of maps in Scala Problem title: How to collect items in a list of maps in Scala Tags: scala, dictionary, collate Problem: How to collect items in a list of maps in Scala Code signals: How, Scala, Seq, Map, List	How to collect items in a list of maps in Scala How to collect items in a list of maps in Scala scala dictionary collate How Scala Seq Map List How to collect items in a list of maps in Scala If I have a sequence of maps with repeating values and sub maps that look like this: What is the Scala way to converting it into...	[ 0.01434326171875, 0.003936767578125, 0.0106201171875, -0.00109100341796875, -0.0111083984375, -0.01611328125, -0.00182342529296875, 0.001068115234375, -0.00335693359375, 0.0279541015625, 0.00193023681640625, -0.002685546875, 0.01336669921875, 0.033935546875, 0.01531982421875, -0.013183...	[ 11249, 47, 43799, 55769, 23, 5303, 22288, 7, 152653, 11, 146232, 45, 10763, 65780, 67, 503, 864, 42719, 32036, 40, 944, 119140, 142424, 1614, 6713, 1884, 3917, 96760, 3934, 3674, 45646, 33342, 903 ]	[ 0.07025146484375, 0.039031982421875, 0.2313232421875, 0.189697265625, 0.05712890625, 0.1783447265625, 0.181640625, 0.073974609375, 0.22705078125, 0.15966796875, 0.214111328125, 0.00604248046875, 0.0576171875, 0.1558837890625, 0.134033203125, 0.0784912109375, 0.1473388671875, 0.1605...	embed
21248467_c0	21248467	scala	0	Title: Passing Tuple2 Argument with -> versus , Problem title: Passing Tuple2 Argument with -> versus , Tags: scala Problem: Passing Tuple2 Argument with -> versus , Code signals: Passing, Tuple2, Argument, Map, ofa.foldLeft, map2, y._2, y._1	Passing Tuple2 Argument with -> versus , Passing Tuple2 Argument with -> versus , scala Passing Tuple2 Argument Map ofa.foldLeft map2 y._2 y._1 Passing Tuple2 Argument with -> versus , Working on a Functional Programming in Scala exercise, I wrote out this function: map2's signature: def map2[A,B,C](fa: F[A], fb:...	[ 0.0169677734375, -0.0133056640625, 0.005218505859375, 0.00140380859375, -0.0103759765625, 0.008056640625, 0.00022792816162109375, 0.005126953125, 0.015869140625, 0.005950927734375, 0.00469970703125, 0.00183868408203125, 0.016357421875, 0.0181884765625, 0.006500244140625, -0.03100585937...	[ 28872, 1371, 8705, 304, 112140, 678, 20, 1230, 5386, 119475, 214, 146232, 42719, 111, 11, 42822, 2480, 22288, 113, 115187, 33079, 28670, 27958, 152653, 81979, 32354, 138256, 8, 571, 441, 1021, 563, 108642, 420, 313, 91995, 4568, 370, 25632,...	[ 0.1309814453125, 0.1341552734375, 0.189697265625, 0.1912841796875, 0.251953125, 0.101806640625, 0.0675048828125, 0.042236328125, 0.154052734375, 0.1962890625, 0.01214599609375, 0.185302734375, 0.1427001953125, 0.10009765625, 0.06475830078125, 0.148681640625, 0.091552734375, 0.12573...	embed
49782126_c2	49782126	scala	2	X.X.X.X, INT2, INT3, INT4, INT5, INT6, INT7, INT8, INT9, INT10, INT11, INT12, INT13, INT14, INT15, INT16, INT17, INT18, INT19, s10, INT20, INT21, ts3:tssub3, s11, s12, s13, INT22, INT23:INT24, s14, s15, s.foldLeft, parsed.blocks.size, parsed.blocks	X.X.X.X, INT2, INT3, INT4, INT5, INT6, INT7, INT8, INT9, INT10, INT11, INT12, INT13, INT14, INT15, INT16, INT17, INT18, INT19, s10, INT20, INT21, ts3:tssub3, s11, s12, s13, INT22, INT23:INT24, s14, s15, s.foldLeft, parsed.blocks.size, parsed.blocks	[ -0.002471923828125, 0.014404296875, -0.00098419189453125, 0.033935546875, -0.0203857421875, -0.00689697265625, 0.01239013671875, -0.000705718994140625, 0.0380859375, -0.01458740234375, -0.0023345947265625, -0.0184326171875, 0.00335693359375, -0.011962890625, -0.013916015625, 0.01147460...	[ 1193, 5, 1542, 4, 6, 59537, 304, 363, 617, 758, 910, 966, 1019, 1126, 963, 1662, 1530, 2681, 2592, 1837, 2485, 2489, 1819, 2947, 91, 1549, 3117, 61636, 12, 933, 22144, 4015, 3742, 2357, 42822, 5267, 2480, 366, 5281, 81409, 62539, 7 ]	[ 0.1390380859375, 0.105712890625, 0.211181640625, 0.08221435546875, 0.0645751953125, 0.2366943359375, 0.1561279296875, 0.153076171875, 0.147216796875, 0.1217041015625, 0.124267578125, 0.09295654296875, 0.1158447265625, 0.1221923828125, 0.105712890625, 0.1162109375, 0.08807373046875, ...	embed
39457622_c0	39457622	scala	0	Title: Spark scala filter tuples in a list Problem title: Spark scala filter tuples in a list Tags: apache-spark, scala, rdd Problem: Spark scala filter tuples in a list Code signals: Spark, sc.parallelize, Seq, m.groupByKey.mapValues, _.toList, List	Spark scala filter tuples in a list Spark scala filter tuples in a list apache-spark scala rdd Spark sc.parallelize Seq m.groupByKey.mapValues _.toList List Spark scala filter tuples in a list I have an Rdd like below I transformed the above Rdd by using the groupByKey like below Result: Now, I want to filter the tuple...	[ 0.0225830078125, 0.017333984375, -0.006683349609375, -0.005889892578125, 0.0098876953125, -0.0201416015625, 0.0234375, 0.006103515625, 0.0054931640625, 0.025146484375, -0.0009765625, -0.000820159912109375, -0.0081787109375, 0.02392578125, -0.006561279296875, 0.00335693359375, 0.02148...	[ 152810, 146232, 46312, 370, 99726, 5303, 2241, 1430, 10237, 1690, 4028, 9023, 6276, 1229, 119066, 864, 347, 51588, 75358, 162429, 62346, 42272, 188, 154663, 32036, 627, 35064, 27198, 36917, 21115, 126684, 3444, 678, 18389, 142424, 12638, 84751,...	[ 0.2396240234375, 0.2032470703125, 0.2261962890625, 0.1246337890625, 0.187255859375, 0.1932373046875, 0.0751953125, 0.06585693359375, 0.1788330078125, 0.0087890625, 0.126220703125, 0.10009765625, 0.0192718505859375, 0.07958984375, 0.0772705078125, 0.1097412109375, 0.004302978515625, ...	embed
64739902_c0	64739902	scala	0	Title: Find min value for every 5 hour interval Problem title: Find min value for every 5 hour interval Tags: apache-spark, apache-spark-sql, scala Problem: Find min value for every 5 hour interval Code signals: Find, Seq, min_time, Window.partitionBy	Find min value for every 5 hour interval Find min value for every 5 hour interval apache-spark apache-spark-sql scala Find Seq min_time Window.partitionBy Find min value for every 5 hour interval My df For this case the first interval starts from 1 hour. So every row up to 6 (1 + 5) is part of this interval. But 8 - 1 ...	[ 0.005340576171875, -0.0068359375, 0.0216064453125, 0.021728515625, -0.021728515625, -0.01324462890625, 0.01495361328125, -0.002655029296875, -0.0027618408203125, -0.0201416015625, -0.0040283203125, -0.003173828125, 0.025146484375, -0.0001087188720703125, -0.006622314453125, 0.003524780...	[ 26040, 881, 34292, 11907, 190, 56816, 51514, 100, 2241, 1430, 10237, 99247, 146232, 503, 864, 6032, 176501, 15866, 1363, 75358, 420, 5117, 4034, 1295, 106, 15555, 305, 997, 21162, 2831, 382, 17932, 5847, 87, 1957, 616, 50960, 104851, 16750,...	[ 0.126708984375, 0.26123046875, 0.210205078125, 0.1134033203125, 0.2037353515625, 0.248046875, 0.2490234375, 0.02679443359375, 0.081787109375, 0.065185546875, 0.171630859375, 0.1981201171875, 0.1787109375, 0.045196533203125, 0.1685791015625, 0.178955078125, 0.1341552734375, 0.153808...	embed
53430472_c0	53430472	scala	0	Title: scala.util.Try recursive function throws compilation error Problem title: scala.util.Try recursive function throws compilation error Tags: scala Problem: scala.util.Try recursive function throws compilation error Code signals: scala.util.Try, Try	scala.util.Try recursive function throws compilation error scala.util.Try recursive function throws compilation error scala scala.util.Try Try scala.util.Try recursive function throws compilation error Given the following recursive function that returns Try[Int], I get a compilation error saying type mismatch; found : ...	[ 0.00045013427734375, 0.01116943359375, 0.0174560546875, 0.018798828125, 0.0089111328125, -0.01806640625, -0.007049560546875, -0.0128173828125, 0.00946044921875, -0.005645751953125, 0.0025482177734375, 0.005035400390625, 0.0028839111328125, 0.015869140625, 0.05322265625, -0.009765625, ...	[ 146232, 34, 3675, 618, 1294, 195625, 5844, 32354, 104250, 98352, 1363, 18499, 40858, 30646, 4153, 18, 10644, 1239, 98753, 14037, 56065, 360, 44691, 3871, 50339, 190355, 3408 ]	[ 0.1998291015625, 0.01171875, 0.15478515625, 0.1661376953125, 0.2452392578125, 0.2083740234375, 0.0927734375, 0.15771484375, 0.180908203125, 0.207275390625, 0.01873779296875, 0.1673583984375, 0.256103515625, 0.1033935546875, 0.06585693359375, 0.1007080078125, 0.1826171875, 0.0899658...	embed
31968095_c0	31968095	scala	0	Title: Could I use Akka to start background work (Future) Problem title: Could I use Akka to start background work (Future) Tags: akka, scala Problem: Could I use Akka to start background work (Future) Code signals: Could, Akka, Future, Worker, Actor, Task	Could I use Akka to start background work (Future) Could I use Akka to start background work (Future) akka scala Could Akka Future Worker Actor Task Could I use Akka to start background work (Future) is it good to use Akka as a Background Worker? Like I want to insert some Queries in the Database and then return someth...	[ -0.0081787109375, 0.029052734375, -0.00225830078125, -0.006317138671875, -0.0164794921875, -0.016845703125, 0.00811767578125, 0.00213623046875, 0.0245361328125, -0.033447265625, 0.004852294921875, 0.0294189453125, 0.029296875, 0.028564453125, 0.00194549560546875, -0.01171875, 0.01879...	[ 191147, 87, 4527, 62, 5515, 47, 4034, 76615, 4488, 80163, 6644, 81866, 146232, 94724, 27985, 56, 185617, 9598, 92, 83, 442, 4127, 237, 10, 26828, 64330, 3444, 183540, 5813, 187781, 30646, 38937, 8108, 80889, 5608, 31471, 11809, 15700, 63399...	[ 0.146484375, 0.0477294921875, 0.17919921875, 0.1575927734375, 0.285888671875, 0.06768798828125, 0.1551513671875, 0.21240234375, 0.1473388671875, 0.1541748046875, 0.161865234375, 0.2354736328125, 0.2099609375, 0.228759765625, 0.171142578125, 0.144775390625, 0.184326171875, 0.1828613...	embed
6916843_c0	6916843	scala	0	Title: Scala tuple memory overhead Problem title: Scala tuple memory overhead Tags: scala, memory-management Problem: Scala tuple memory overhead What is additional memory cost of Tuple[Int, Int] ie. (1, 2) over two Ints without Tuple ? Code signals: Scala	Scala tuple memory overhead Scala tuple memory overhead scala memory-management Scala Scala tuple memory overhead What is additional memory cost of Tuple[Int, Int] ie. (1, 2) over two Ints without Tuple ?	[ 0.025634765625, 0.023681640625, -0.007659912109375, 0.02294921875, 0.00469970703125, -0.0135498046875, -0.01409912109375, 0.016357421875, 0.0011444091796875, -0.014404296875, -0.006103515625, -0.0029144287109375, 0.00958251953125, 0.038818359375, 0.008056640625, 0.007110595703125, 0....	[ 152653, 11, 370, 8705, 98323, 645, 31251, 146232, 87140, 83, 78301, 11034, 1371, 4153, 18, 360, 4958, 6626, 933, 15490 ]	[ 0.1607666015625, 0.06939697265625, 0.11053466796875, 0.2213134765625, 0.205078125, 0.09930419921875, 0.1656494140625, 0.156982421875, 0.1297607421875, 0.039459228515625, 0.1407470703125, 0.2012939453125, 0.1148681640625, 0.07696533203125, 0.110107421875, 0.11627197265625, 0.109863281...	embed
23427605_c0	23427605	scala	0	Title: scalding NoClassDefFoundError Problem title: scalding NoClassDefFoundError Tags: sbt, scala, java, scalding Problem: scalding NoClassDefFoundError Code signals: NoClassDefFoundError, scald.rb, WordCountJob.scala, someInputfile.txt, someOutputFile.tsv	scalding NoClassDefFoundError scalding NoClassDefFoundError sbt scala java scalding NoClassDefFoundError scald.rb WordCountJob.scala someInputfile.txt someOutputFile.tsv scalding NoClassDefFoundError after installing java, scala scalding on OSX i have the following error when i try to run the WordCountJob file does any...	[ 0.007354736328125, 0.0198974609375, -0.0047607421875, 0.01904296875, -0.00848388671875, 0.021728515625, -0.004486083984375, 0.007110595703125, 0.00775146484375, 0.007476806640625, -0.0159912109375, -0.0213623046875, -0.0093994140625, 0.004730224609375, 0.0074462890625, -0.0172119140625...	[ 117906, 6238, 438, 140803, 187423, 27591, 7030, 18468, 31611, 16723, 146232, 79, 330, 71, 13471, 22543, 108210, 194802, 62309, 3060, 7077, 29822, 124326, 79858, 174350, 334, 7103, 20600, 214, 98, 11787, 1542, 765, 70, 25632, 18499, 9790, 1167...	[ 0.222412109375, 0.16552734375, 0.1273193359375, 0.1766357421875, 0.19970703125, 0.10479736328125, 0.0887451171875, 0.1033935546875, 0.045623779296875, 0.123779296875, 0.2125244140625, 0.1329345703125, 0.2020263671875, 0.1119384765625, 0.109375, 0.145751953125, 0.1727294921875, 0.20...	embed
51489986_c0	51489986	scala	0	Title: Converting WrappedArray to string in DataFrame Problem title: Converting WrappedArray to string in DataFrame Tags: scala, apache-spark, dataframe Problem: Converting WrappedArray to string in DataFrame Code signals: Converting, WrappedArray, DataFrame	Converting WrappedArray to string in DataFrame Converting WrappedArray to string in DataFrame scala apache-spark dataframe Converting WrappedArray DataFrame Converting WrappedArray to string in DataFrame I have a DataFrame like the following: I want to convert the WrappedArray s to strings and have the following output...	[ 0.00787353515625, -0.00701904296875, -0.017578125, 0.0244140625, -0.00115966796875, -0.012939453125, 0.003326416015625, -0.01556396484375, -0.004150390625, 0.05078125, -0.00543212890625, -0.00024127960205078125, -0.019287109375, -0.0003509521484375, -0.022705078125, -0.00628662109375, ...	[ 814, 219, 48398, 7614, 7092, 47, 79315, 23, 11809, 108386, 282, 1916, 601, 146232, 2241, 1430, 10237, 2053, 160328, 25632, 3444, 96760, 140992, 152810, 17368, 152653, 11 ]	[ 0.0936279296875, 0.1473388671875, 0.1285400390625, 0.1402587890625, 0.221923828125, 0.08984375, 0.250732421875, 0.0206146240234375, 0.08203125, 0.1748046875, 0.0733642578125, 0.021942138671875, 0.011932373046875, 0.1856689453125, 0.034515380859375, 0.05377197265625, 0.14404296875, ...	embed
48468737_c0	48468737	scala	0	Title: How to create a DataFrame from List? Problem title: How to create a DataFrame from List? Tags: apache-spark, dataframe, scala, apache-spark-sql Problem: How to create a DataFrame from List? Code signals: List, How, DataFrame, col2, values.toDF, df.show	How to create a DataFrame from List? How to create a DataFrame from List? apache-spark dataframe scala apache-spark-sql List How DataFrame col2 values.toDF df.show How to create a DataFrame from List? I want to create DataFrame df that should look as simple as this: This is what I do: And this is what I get: What's wro...	[ 0.0283203125, 0.007476806640625, -0.023193359375, 0.040771484375, 0.00750732421875, -0.012451171875, 0.0242919921875, -0.0030975341796875, -0.005706787109375, 0.0203857421875, 0.005523681640625, -0.0296630859375, 0.019775390625, -0.015869140625, -0.02783203125, -0.006500244140625, 0....	[ 11249, 47, 28282, 10, 11809, 108386, 282, 1295, 32036, 2241, 1430, 10237, 2053, 160328, 146232, 99247, 3365, 304, 142424, 188, 38997, 104, 420, 31374, 3444, 5608, 6713, 8781, 903, 3293, 54, 44691, 3688 ]	[ 0.09490966796875, 0.0845947265625, 0.185791015625, 0.08404541015625, 0.1466064453125, 0.275390625, 0.2130126953125, 0.1812744140625, 0.270263671875, 0.06842041015625, 0.09002685546875, 0.1827392578125, 0.1181640625, 0.250732421875, 0.1656494140625, 0.1558837890625, 0.09619140625, 0...	embed
48928601_c0	48928601	scala	0	Title: split the file into multiple files based on a string in spark scala Problem title: split the file into multiple files based on a string in spark scala Tags: apache-spark, scala Problem: split the file into multiple files based on a string in spark scala	split the file into multiple files based on a string in spark scala split the file into multiple files based on a string in spark scala apache-spark scala split the file into multiple files based on a string in spark scala I have a text file with the below data having no particular format I want the output as two files...	[ 0.020751953125, -0.00171661376953125, -0.01483154296875, 0.0341796875, -0.01409912109375, -0.00836181640625, 0.0296630859375, -0.00090789794921875, -0.01092529296875, 0.00970458984375, -0.00897216796875, -0.0042724609375, -0.0198974609375, 0.00396728515625, 0.021240234375, -0.003463745...	[ 65450, 11435, 3934, 48716, 102158, 35509, 98, 79315, 131999, 146232, 2241, 1430, 7, 10237, 7986, 35064, 2053, 17311, 9384, 3444, 140992, 237, 6626, 44978, 1563, 238, 47, 13806, 15573, 70, 123055, 5608, 186, 5959, 9351, 13315, 4034, 678, 472...	[ 0.2470703125, 0.1844482421875, 0.161376953125, 0.205322265625, 0.193115234375, 0.1319580078125, 0.0278167724609375, 0.1973876953125, 0.23046875, 0.2359619140625, 0.096435546875, 0.114013671875, 0.0144805908203125, 0.1900634765625, 0.13330078125, 0.098388671875, 0.07916259765625, 0....	embed
64888000_c0	64888000	scala	0	Title: How to use LIKE operator in Slick? Problem title: How to use LIKE operator in Slick? Tags: mysql, slick, scala Problem: How to use LIKE operator in Slick? Code signals: How, LIKE, Slick, etilizeRequest.q.nonEmpty, cnRep.map, _.name, etilizeRequest.q.get	How to use LIKE operator in Slick? How to use LIKE operator in Slick? mysql slick scala How LIKE Slick etilizeRequest.q.nonEmpty cnRep.map _.name etilizeRequest.q.get How to use LIKE operator in Slick? I am trying to use Slick framework for integration with MySQL . However whenever I use LIKE operator it fails with the...	[ -0.0159912109375, 0.0294189453125, 0.004058837890625, 0.017578125, -0.01251220703125, 0.010986328125, 0.0272216796875, 0.01348876953125, -0.00457763671875, -0.0277099609375, 0.015380859375, -0.0078125, 0.005096435546875, -0.0106201171875, -0.006805419921875, 0.021240234375, -0.017333...	[ 11249, 47, 4527, 339, 57692, 39933, 23, 159, 66965, 759, 99247, 91, 146232, 82, 2104, 731, 4332, 75616, 864, 6431, 134332, 19, 254, 62346, 11627, 3794, 31577, 170846, 157353, 678, 157146, 217684, 35782, 18499, 28864, 212059, 42459, 30022 ]	[ 0.068115234375, 0.021240234375, 0.13623046875, 0.154052734375, 0.275634765625, 0.252197265625, 0.047271728515625, 0.1510009765625, 0.29248046875, 0.05859375, 0.1387939453125, 0.10174560546875, 0.2001953125, 0.0865478515625, 0.1336669921875, 0.1099853515625, 0.076416015625, 0.145507...	embed
27679741_c0	27679741	scala	0	Title: How to flatten List[Any]? Problem title: How to flatten List[Any]? Tags: scala Problem: How to flatten List[Any]? In Scala, how can you flatten this: List(1, List(2, 3), 4, List(5, 6, 7)) into this List(1, 2, 3, 4, 5, 6, 7) ? Code signals: How, List, Any	How to flatten List[Any]? How to flatten List[Any]? scala How List Any How to flatten List[Any]? In Scala, how can you flatten this: into this ?	[ 0.0007171630859375, 0.0205078125, 0.01312255859375, 0.0186767578125, -0.0022430419921875, 0.01007080078125, 0.000926971435546875, -0.00885009765625, 0.005462646484375, 0.0106201171875, -0.00016021728515625, -0.054443359375, 0.01904296875, 0.0196533203125, -0.01220703125, -0.01318359375...	[ 11249, 47, 49878, 510, 32036, 284, 299, 146232, 28541, 152653, 11, 3642, 831, 903, 12, 3934 ]	[ 0.06976318359375, 0.0654296875, 0.224609375, 0.2188720703125, 0.251220703125, 0.05712890625, 0.172119140625, 0.16064453125, 0.175048828125, 0.16259765625, 0.094970703125, 0.052001953125, 0.01544189453125, 0.13720703125, 0.00821685791015625, 0.1326904296875 ]	embed
61796531_c0	61796531	scala	0	Title: How to pass Function result to math.max Problem title: How to pass Function result to math.max Tags: scala, scala-placeholder-syntax Problem: How to pass Function result to math.max Code signals: How, math.max, Seq, inputs.reduceLeft, Double, Float, Long	How to pass Function result to math.max How to pass Function result to math.max scala scala-placeholder-syntax How math.max Seq inputs.reduceLeft Double Float Long How to pass Function result to math.max I am able to do this: But, when I am trying to do this: I am getting below mentioned compilation error: I just want ...	[ 0.01385498046875, -0.0064697265625, 0.004669189453125, -0.0084228515625, -0.0020599365234375, 0.0035858154296875, 0.0040283203125, -0.0037384033203125, 0.0005645751953125, -0.0262451171875, -0.0184326171875, -0.003936767578125, -0.00994873046875, -0.0179443359375, 0.03173828125, -0.011...	[ 11249, 47, 27875, 28670, 10763, 16750, 48909, 5, 24084, 146232, 23935, 31958, 12654, 86531, 503, 864, 107730, 107, 106357, 2480, 107172, 38699, 257, 14407, 19048, 31577, 35064, 98352, 18499, 1660, 3444, 111, 7477, 11782, 69307 ]	[ 0.06689453125, 0.1142578125, 0.161376953125, 0.1785888671875, 0.1517333984375, 0.208740234375, 0.154541015625, 0.05810546875, 0.21728515625, 0.2008056640625, 0.10247802734375, 0.1451416015625, 0.045013427734375, 0.1170654296875, 0.0621337890625, 0.1612548828125, 0.1102294921875, 0....	embed
52307668_c0	52307668	scala	0	Title: Comparing the value of columns in two dataframe Problem title: Comparing the value of columns in two dataframe Tags: compare, apache-spark, apache-spark-sql, scala Problem: Comparing the value of columns in two dataframe Code signals: Comparing, df1, df2	Comparing the value of columns in two dataframe Comparing the value of columns in two dataframe compare apache-spark apache-spark-sql scala Comparing df1 df2 Comparing the value of columns in two dataframe I have two dataframe, one has unique value of id and other can have multiple values of different id . This is data...	[ 0.0123291015625, 0.003570556640625, -0.01953125, 0.03369140625, 0.01202392578125, -0.00994873046875, 0.01123046875, 0.01251220703125, 0.00836181640625, 0.0498046875, 0.0028228759765625, 0.005523681640625, 0.00634765625, -0.006439208984375, -0.01416015625, -0.0140380859375, -0.0009269...	[ 113307, 34292, 3365, 316, 1779, 6626, 2053, 160328, 111, 69101, 2241, 1430, 10237, 99247, 146232, 104, 420, 418, 304, 23, 36998, 3447, 48716, 142424, 12921, 464, 17932, 678, 5117, 1257, 56464, 18, 17311, 117396, 40407, 35431, 37397, 44457 ]	[ 0.1741943359375, 0.1781005859375, 0.1480712890625, 0.1614990234375, 0.053070068359375, 0.1690673828125, 0.083251953125, 0.2449951171875, 0.00738525390625, 0.2073974609375, 0.0662841796875, 0.05316162109375, 0.1600341796875, 0.1488037109375, 0.1925048828125, 0.05029296875, 0.166259765...	embed
45016759_c0	45016759	scala	0	Title: how to convert yyyy-dd-mmThh:mm:ss in spark sql Problem title: how to convert yyyy-dd-mmThh:mm:ss in spark sql Tags: scala, apache-spark-sql Problem: how to convert yyyy-dd-mmThh:mm:ss in spark sql Code signals: yyyy-dd-mmThh:mm:ss, event_status, hh:mm:ss	how to convert yyyy-dd-mmThh:mm:ss in spark sql how to convert yyyy-dd-mmThh:mm:ss in spark sql scala apache-spark-sql yyyy-dd-mmThh:mm:ss event_status hh:mm:ss how to convert yyyy-dd-mmThh:mm:ss in spark sql I have above dataset , I need to convert format for timestamp to "yyyy-mm-dd hh:mm:ss" so I can calculate times...	[ -0.0096435546875, 0.017333984375, -0.0076904296875, 0.023193359375, -0.00138092041015625, -0.0269775390625, 0.00025177001953125, 0.00093841552734375, -0.00994873046875, -0.00160980224609375, -0.004425048828125, 0.005401611328125, -0.0018310546875, -0.018798828125, -0.01190185546875, -0...	[ 3642, 96760, 113, 53, 34034, 4028, 2276, 20800, 127, 7, 23, 131999, 91, 99247, 47, 9, 12, 146232, 2241, 1430, 10237, 19732, 45215, 51659, 36917, 2053, 3509, 3871, 9384, 1733, 590, 2676, 74481, 69307, 35064, 79, 330, 6032, 4488 ]	[ 0.057708740234375, 0.17431640625, 0.097900390625, 0.06976318359375, 0.2412109375, 0.1341552734375, 0.149169921875, 0.08984375, 0.150390625, 0.1395263671875, 0.050628662109375, 0.229736328125, 0.04718017578125, 0.213134765625, 0.05975341796875, 0.009490966796875, 0.0238189697265625, ...	embed
1345713_c0	1345713	scala	0	Title: What Are The Benefits Of Scala? Problem title: What Are The Benefits Of Scala? Tags: scala, java Problem: What Are The Benefits Of Scala? I am a Java developer and I want to know how I can use Scala in my Java programs? Code signals: What, Benefits, Scala	What Are The Benefits Of Scala? What Are The Benefits Of Scala? scala java What Benefits Scala What Are The Benefits Of Scala? I am a Java developer and I want to know how I can use Scala in my Java programs?	[ 0.0255126953125, 0.019775390625, 0.008056640625, 0.016845703125, 0.005706787109375, 0.00174713134765625, -0.00171661376953125, 0.020751953125, -0.009033203125, 0.0137939453125, -0.012451171875, -0.007080078125, -0.01068115234375, 0.004608154296875, 0.004730224609375, -0.001396179199218...	[ 4865, 15901, 581, 30543, 16086, 7, 6619, 152653, 11, 32, 146232, 79, 330, 444, 41925, 106001, 3444, 3714, 3642, 831, 4527, 103391 ]	[ 0.0811767578125, 0.10107421875, 0.11419677734375, 0.133544921875, 0.189453125, 0.1324462890625, 0.1431884765625, 0.241943359375, 0.204345703125, 0.03948974609375, 0.2276611328125, 0.1082763671875, 0.144775390625, 0.01169586181640625, 0.1619873046875, 0.0841064453125, 0.00078201293945...	embed
3251914_c0	3251914	scala	0	Title: Protected functions in Scala Problem title: Protected functions in Scala Tags: scala Problem: Protected functions in Scala How do you make a protected function in a class accessible to just all classes in the package in Scala? Code signals: Protected, Scala	Protected functions in Scala Protected functions in Scala scala Protected Scala Protected functions in Scala How do you make a protected function in a class accessible to just all classes in the package in Scala?	[ 0.0283203125, -0.00634765625, 0.0103759765625, -0.00140380859375, -0.0162353515625, 0.000423431396484375, -0.016357421875, -0.005035400390625, -0.0155029296875, 0.00677490234375, -0.01220703125, -0.00994873046875, -0.0002231597900390625, 0.0108642578125, 0.0198974609375, 0.02001953125,...	[ 127942, 297, 32354, 23, 152653, 11, 146232, 11249, 54, 3249, 10, 30312, 18507, 81522, 47, 1660, 756, 61112, 98169 ]	[ 0.2042236328125, 0.136474609375, 0.2288818359375, 0.053497314453125, 0.218994140625, 0.1741943359375, 0.20556640625, 0.0230865478515625, 0.0090179443359375, 0.102783203125, 0.0178375244140625, 0.2374267578125, 0.1839599609375, 0.169677734375, 0.097412109375, 0.047607421875, 0.1079101...	embed
51871289_c0	51871289	scala	0	Title: Add sequence id for groupby column Problem title: Add sequence id for groupby column Tags: apache-spark-sql, scala, group-by, dataframe, apache-spark Problem: Add sequence id for groupby column Code signals: Add, rpc1, rpc4, rpc5, rpc2, rpc3, dataset.select	Add sequence id for groupby column Add sequence id for groupby column apache-spark-sql scala group-by dataframe apache-spark Add rpc1 rpc4 rpc5 rpc2 rpc3 dataset.select Add sequence id for groupby column I have a requirement that to add a sequence id for groupby column. The original Dataset is like this: After doing a ...	[ 0.0206298828125, 0.0054931640625, -0.0205078125, 0.0361328125, -0.00653076171875, -0.005950927734375, 0.004730224609375, 0.007354736328125, 0.01019287109375, -0.0262451171875, -0.0159912109375, 0.0184326171875, -0.009765625, 0.0286865234375, -0.006744384765625, 0.00103759765625, -0.0...	[ 29117, 40, 944, 3956, 3447, 100, 21115, 1272, 3365, 316, 2241, 1430, 10237, 99247, 146232, 2053, 160328, 57095, 617, 758, 363, 3509, 100184, 64209, 15190, 7311, 11809, 1884, 9007, 568, 71, 127966, 80596, 31374, 3444, 142, 19, 297, 16750, ...	[ 0.10205078125, 0.0667724609375, 0.14208984375, 0.11669921875, 0.212890625, 0.010406494140625, 0.1929931640625, 0.226806640625, 0.1595458984375, 0.179443359375, 0.045257568359375, 0.0694580078125, 0.144775390625, 0.14453125, 0.140380859375, 0.027679443359375, 0.10888671875, 0.122558...	embed
34150547_c0	34150547	scala	0	Title: Spark: group concat equivalent in scala rdd Problem title: Spark: group concat equivalent in scala rdd Tags: apache-spark-sql, group-concat, rdd, scala, apache-spark Problem: Spark: group concat equivalent in scala rdd Code signals: Spark, v21, d21, v22, d22	Spark: group concat equivalent in scala rdd Spark: group concat equivalent in scala rdd apache-spark-sql group-concat rdd scala apache-spark Spark v21 d21 v22 d22 Spark: group concat equivalent in scala rdd I have following DataFrame: I want to transform it into: Is it possible through data frame operations? How would ...	[ 0.01495361328125, 0.00144195556640625, -0.01092529296875, 0.01275634765625, 0.00020694732666015625, -0.0145263671875, -0.0140380859375, 0.00921630859375, 0.0157470703125, 0.010009765625, -0.014892578125, -0.00830078125, 0.00335693359375, -0.006103515625, -0.01904296875, -0.002838134765...	[ 152810, 21115, 158, 4460, 183234, 146232, 1690, 4028, 2241, 1430, 10237, 99247, 2271, 3117, 4015, 25632, 11809, 108386, 282, 3444, 47, 27198, 442, 3934, 7722, 8305, 2053, 123789, 41018, 167201, 6713, 44136, 107, 106357, 22799, 6528, 39908, 10...	[ 0.2783203125, 0.2041015625, 0.13427734375, 0.240478515625, 0.1566162109375, 0.1912841796875, 0.083251953125, 0.213134765625, 0.08685302734375, 0.0791015625, 0.15185546875, 0.1473388671875, 0.10693359375, 0.086181640625, 0.093505859375, 0.0858154296875, 0.05181884765625, 0.18359375,...	embed
47166706_c0	47166706	scala	0	Title: Why can't I use sort or orderby on DataFrame? Problem title: Why can't I use sort or orderby on DataFrame? Tags: scala, apache-spark Problem: Why can't I use sort or orderby on DataFrame? Code signals: Why, DataFrame, df1, df.toDF, scala.math.order	Why can't I use sort or orderby on DataFrame? Why can't I use sort or orderby on DataFrame? scala apache-spark Why DataFrame df1 df.toDF scala.math.order Why can't I use sort or orderby on DataFrame? When I try to sort a DataFrame: I get: I've also tried order by, but neither works. What is the issue here? Do...	[ 0.0196533203125, 0.0026397705078125, 0.0042724609375, -0.00677490234375, -0.0037384033203125, -0.0289306640625, 0.007293701171875, -0.0233154296875, -0.0013885498046875, -0.00213623046875, -0.016845703125, 0.007232666015625, -0.00897216796875, -0.011962890625, 0.002105712890625, -0.010...	[ 44084, 831, 3768, 18, 4527, 12096, 707, 12989, 1272, 98, 11809, 108386, 282, 146232, 2241, 1430, 10237, 420, 418, 188, 38997, 125458, 80596, 87, 9790, 2843, 37842, 390, 2725, 9319, 43240, 31089, 24927 ]	[ 0.0938720703125, 0.110595703125, 0.03662109375, 0.095703125, 0.1260986328125, 0.220458984375, 0.1156005859375, 0.175048828125, 0.244873046875, 0.08551025390625, 0.08636474609375, 0.2236328125, 0.1666259765625, 0.2003173828125, 0.044525146484375, 0.077392578125, 0.1654052734375, 0.0...	embed
19386964_c0	19386964	scala	0	Title: I want to get the type of a variable at runtime Problem title: I want to get the type of a variable at runtime Tags: scala, reflection Problem: I want to get the type of a variable at runtime I want to get the type of a variable at runtime. How do I do this?	I want to get the type of a variable at runtime I want to get the type of a variable at runtime scala reflection I want to get the type of a variable at runtime I want to get the type of a variable at runtime. How do I do this?	[ 0.0052490234375, -0.00927734375, -0.00347900390625, 0.007171630859375, -0.002044677734375, -0.0027923583984375, -0.033203125, 0.0238037109375, -0.021240234375, -0.048583984375, 0.0025634765625, -0.0191650390625, -0.0159912109375, -0.0123291015625, 0.018310546875, 0.0225830078125, 0.0...	[ 3444, 2046, 70, 10644, 111, 77336, 99, 11675, 6032, 47, 146232, 44961, 1830, 54, 903 ]	[ 0.070556640625, 0.0914306640625, 0.03839111328125, 0.2119140625, 0.091552734375, 0.245361328125, 0.08770751953125, 0.1220703125, 0.17431640625, 0.0018157958984375, 0.1646728515625, 0.190673828125, 0.0947265625, 0.00824737548828125, 0.018402099609375 ]	embed
62566802_c0	62566802	scala	0	Title: How to add index in values with array type column Problem title: How to add index in values with array type column Tags: parquet, scala, apache-spark Problem: How to add index in values with array type column Code signals: How, Key_1, Key_2, Key_3, Ref_codes	How to add index in values with array type column How to add index in values with array type column parquet scala apache-spark How Key_1 Key_2 Key_3 Ref_codes How to add index in values with array type column I have a requirement to add sequence number to the columns (Array) where my source data is in parquet format an...	[ 0.006500244140625, 0.0035552978515625, -0.0184326171875, 0.01092529296875, -0.01422119140625, -0.0264892578125, 0.023681640625, -0.013671875, 0.01556396484375, 0.017822265625, 0.010498046875, -0.00885009765625, -0.01239013671875, -0.00165557861328125, -0.01458740234375, -0.029663085937...	[ 11249, 15190, 63262, 23, 142424, 678, 10298, 53, 10644, 3365, 316, 47, 49663, 18, 146232, 2241, 1430, 10237, 26824, 363, 53295, 40899, 64209, 40, 944, 3956, 14012, 7614, 7092, 31344, 2053, 9384, 21950, 96222, 115923, 55076, 22799, 136, 1815...	[ 0.051483154296875, 0.1591796875, 0.25830078125, 0.0960693359375, 0.1856689453125, 0.0960693359375, 0.1527099609375, 0.1107177734375, 0.1646728515625, 0.1431884765625, 0.1669921875, 0.000213623046875, 0.1270751953125, 0.10162353515625, 0.1912841796875, 0.032684326171875, 0.06060791015...	embed
65238556_c0	65238556	scala	0	Title: How to replace Symbols and characters in Spark? Problem title: How to replace Symbols and characters in Spark? Tags: scala, apache-spark Problem: How to replace Symbols and characters in Spark? Code signals: How, Symbols, Spark, df.withColumn, regexp_replace	How to replace Symbols and characters in Spark? How to replace Symbols and characters in Spark? scala apache-spark How Symbols Spark df.withColumn regexp_replace How to replace Symbols and characters in Spark? How do I replace <@> with . ? Expected Output: I tried df.withColumn("average", regexp_replace($"average","[<@...	[ -0.01531982421875, -0.005889892578125, -0.0181884765625, 0.03564453125, -0.0004024505615234375, -0.00927734375, -0.001983642578125, 0.003662109375, 0.0211181640625, 0.025146484375, 0.00007343292236328125, -0.0015869140625, 0.00592041015625, -0.00131988525390625, 0.004547119140625, 0.01...	[ 11249, 47, 91995, 131899, 7, 136, 124850, 23, 152810, 32, 146232, 2241, 1430, 10237, 104, 420, 76228, 78457, 316, 6835, 83613, 107, 23935, 4426, 981, 2740, 678, 5, 60075, 13, 89829, 13538, 37842, 8216, 29838, 4369, 16093, 70, 140992 ]	[ 0.06103515625, 0.039459228515625, 0.1787109375, 0.23828125, 0.0833740234375, 0.1129150390625, 0.191650390625, 0.0775146484375, 0.30224609375, 0.001983642578125, 0.1568603515625, 0.0789794921875, 0.076904296875, 0.1685791015625, 0.0263214111328125, 0.10430908203125, 0.09423828125, 0...	embed
60701710_c0	60701710	scala	0	Title: Validation that returns more than 1 error Problem title: Validation that returns more than 1 error Tags: scala Problem: Validation that returns more than 1 error Code signals: Validation, Response, JsValue, Boolean, Option, None, Some, Name, Age, DOB, record1	Validation that returns more than 1 error Validation that returns more than 1 error scala Validation Response JsValue Boolean Option None Some Name Age DOB record1 Validation that returns more than 1 error I'm doing a few validations using an older Scala version (2.0) but for each record I am currently getting only 1 e...	[ 0.01409912109375, 0.01336669921875, -0.0169677734375, 0.00933837890625, 0.000827789306640625, 0.004486083984375, -0.01300048828125, -0.00714111328125, 0.0244140625, -0.019287109375, 0.01104736328125, -0.004302978515625, 0.03271484375, 0.0091552734375, 0.01177978515625, 0.01434326171875...	[ 25447, 85, 1363, 30646, 1286, 3501, 106, 18499, 450, 146232, 92748, 821, 856, 50770, 73783, 34677, 86769, 438, 15757, 72944, 6197, 571, 17164, 418, 10846, 44622, 5256, 114210, 152653, 11, 11389, 73011, 12638, 82424, 20949, 4734, 66596, 116, ...	[ 0.176025390625, 0.141357421875, 0.09930419921875, 0.158447265625, 0.08685302734375, 0.0833740234375, 0.0814208984375, 0.2318115234375, 0.0010986328125, 0.15576171875, 0.06512451171875, 0.1285400390625, 0.074462890625, 0.0751953125, 0.00390625, 0.0977783203125, 0.11572265625, 0.0121...	embed
15259595_c0	15259595	scala	0	Title: Why does this complex for comprehension fail? Problem title: Why does this complex for comprehension fail? Tags: scala Problem: Why does this complex for comprehension fail? Code signals: Why, Example, App, Some, Map, scala.collection.immutable.Iterable, Option	Why does this complex for comprehension fail? Why does this complex for comprehension fail? scala Why Example App Some Map scala.collection.immutable.Iterable Option Why does this complex for comprehension fail?	[ 0.01556396484375, 0.012939453125, -0.0059814453125, -0.0015716552734375, -0.004913330078125, -0.006866455078125, 0.012939453125, -0.002716064453125, 0.017822265625, 0.0311279296875, 0.01055908203125, 0.003021240234375, 0.0223388671875, 0.02490234375, -0.0036163330078125, -0.00393676757...	[ 44084, 14602, 903, 27140, 100, 46683, 3220, 35782, 146232, 89536, 5659, 31384, 42719, 196352, 1830, 464, 561, 22819, 720, 2886, 86769 ]	[ 0.07977294921875, 0.0650634765625, 0.068603515625, 0.2095947265625, 0.0460205078125, 0.10430908203125, 0.12432861328125, 0.1768798828125, 0.2222900390625, 0.1065673828125, 0.1351318359375, 0.0214996337890625, 0.1534423828125, 0.143798828125, 0.00917816162109375, 0.01348876953125, 0.1...	embed
58747432_c0	58747432	scala	0	Title: Convert String into List of List Problem title: Convert String into List of List Tags: scala, parsing Problem: Convert String into List of List Code signals: Convert, List, Double, a.substring, a.length-1, b.substring, b.length-2, a.concat, res1, res.split, Any	Convert String into List of List Convert String into List of List scala parsing Convert List Double a.substring a.length-1 b.substring b.length-2 a.concat res1 res.split Any Convert String into List of List Input(String): I want to convert this string into a list of lists with type: List[List[String,Double,String]] Wha...	[ 0.0155029296875, -0.01068115234375, -0.00848388671875, 0.01953125, -0.01153564453125, 0.0196533203125, -0.004364013671875, -0.01165771484375, 0.0091552734375, 0.0244140625, -0.016845703125, -0.026611328125, -0.001495361328125, -0.0157470703125, -0.0152587890625, -0.005767822265625, -...	[ 1657, 11549, 23351, 214, 3934, 32036, 111, 146232, 366, 107172, 10, 196842, 2852, 23986, 5759, 876, 5428, 4460, 3332, 4353, 28541, 360, 7077, 71713, 3444, 96760, 903, 79315, 5303, 10644, 154663, 8331, 34, 2661, 2965, 7722, 3917, 54, 2060, ...	[ 0.0518798828125, 0.165283203125, 0.224853515625, 0.1158447265625, 0.1199951171875, 0.2431640625, 0.1793212890625, 0.190673828125, 0.06524658203125, 0.1539306640625, 0.0191650390625, 0.0780029296875, 0.1148681640625, 0.057769775390625, 0.10400390625, 0.0237274169921875, 0.080200195312...	embed
74727454_c0	74727454	scala	0	Title: spark/scala: How to merge values of a single key into a column Problem title: spark/scala: How to merge values of a single key into a column Tags: apache-spark, scala Problem: spark/scala: How to merge values of a single key into a column Code signals: How, DTXN	spark/scala: How to merge values of a single key into a column spark/scala: How to merge values of a single key into a column apache-spark scala How DTXN spark/scala: How to merge values of a single key into a column I have a dataset like below I need to produce an output like below To be precise i need to merge the co...	[ 0.0172119140625, 0.002655029296875, -0.00141143798828125, 0.0045166015625, -0.0015411376953125, -0.002166748046875, 0.0033416748046875, -0.0111083984375, 0.00830078125, 0.03076171875, -0.01214599609375, 0.00445556640625, 0.0028839111328125, -0.0037994384765625, -0.014404296875, -0.0156...	[ 131999, 64, 7, 62309, 11249, 47, 42564, 142424, 11001, 22799, 3934, 10, 3365, 316, 111, 2241, 1430, 10237, 146232, 54047, 839, 19, 2053, 3509, 35064, 3871, 27489, 140992, 134995, 1779, 35735, 40899, 33297, 1340, 29459, 3642, 54, 903, 23 ]	[ 0.2418212890625, 0.061767578125, 0.048858642578125, 0.24951171875, 0.0867919921875, 0.0275421142578125, 0.25244140625, 0.201416015625, 0.1787109375, 0.2091064453125, 0.169189453125, 0.044281005859375, 0.167236328125, 0.1796875, 0.0198974609375, 0.0533447265625, 0.055419921875, 0.19...	embed
55253365_c1	55253365	scala	1	8801773208566601169877685606479644775390625 Big num in scala 0.02498934809987988 0.024989348099879880 [0.024989348099879880] Code signals: java.math.BigDecimal, sc.implicits._, Losing, Spark, BigDecimal, scala.math.BigDecimal, Big, Converted, List, ds.head, ds.toDF.head	8801773208566601169877685606479644775390625 Big num in scala 0.02498934809987988 0.024989348099879880 [0.024989348099879880] Code signals: java.math.BigDecimal, sc.implicits._, Losing, Spark, BigDecimal, scala.math.BigDecimal, Big, Converted, List, ds.head, ds.toDF.head	[ 0.0034637451171875, -0.01177978515625, -0.025390625, -0.006866455078125, 0.005157470703125, -0.010986328125, -0.0076904296875, 0.00640869140625, 0.02001953125, 0.005126953125, -0.01385498046875, 0.0028076171875, -0.01434326171875, -0.0126953125, 0.00848388671875, 0.0076904296875, 0.0...	[ 111056, 144283, 76531, 12951, 77622, 141492, 182055, 171141, 161025, 165131, 185355, 146051, 9323, 9016, 2588, 14195, 13269, 23, 146232, 89678, 2357, 176673, 135407, 6463, 185752, 193021, 363, 104519, 5046, 206347, 99929, 268, 28864, 26073, 7, 12...	[ 0.2423095703125, 0.14404296875, 0.0648193359375, 0.053497314453125, 0.085693359375, 0.047698974609375, 0.03826904296875, 0.041168212890625, 0.063232421875, 0.05242919921875, 0.03863525390625, 0.04278564453125, 0.043975830078125, 0.043182373046875, 0.1754150390625, 0.21875, 0.28222656...	embed
46331133_c0	46331133	scala	0	Title: Error when compiling. What am I doing wrong? Problem title: Error when compiling. What am I doing wrong? Tags: import, compilation, scala Problem: Error when compiling. What am I doing wrong? Code signals: JColor, compilation, Error, What, blockmole.scala:4, Color	Error when compiling. What am I doing wrong? Error when compiling. What am I doing wrong? import compilation scala JColor compilation Error What blockmole.scala:4 Color Error when compiling. What am I doing wrong? When i compile I get this error: The error is somewhere inside this bit of code:	[ 0.007720947265625, 0.009765625, -0.024169921875, 0.02001953125, 0.00189971923828125, 0.022216796875, -0.00390625, -0.00408935546875, -0.004974365234375, 0.0260009765625, -0.020751953125, -0.020263671875, 0.020263671875, -0.006134033203125, 0.0035552978515625, 0.0087890625, -0.0167236...	[ 212059, 3229, 9969, 49725, 5, 4865, 444, 87, 20594, 44691, 24927, 98352, 146232, 821, 10625, 1484, 46389, 432, 133, 62309, 617, 51193, 14847, 17, 1340, 2046, 903, 18499, 83, 174653, 46132, 4785, 111, 18151 ]	[ 0.1884765625, 0.093994140625, 0.1712646484375, 0.19970703125, 0.047088623046875, 0.061614990234375, 0.118896484375, 0.06707763671875, 0.0863037109375, 0.176513671875, 0.1466064453125, 0.1949462890625, 0.180419921875, 0.1346435546875, 0.12744140625, 0.2032470703125, 0.1444091796875, ...	embed
60769058_c0	60769058	scala	0	Title: upate a column based on multiple columns Problem title: upate a column based on multiple columns Tags: scala, apache-spark Problem: upate a column based on multiple columns I have Data frame : And i need the result like this: I am not getting a idea how to do this.	upate a column based on multiple columns upate a column based on multiple columns scala apache-spark upate a column based on multiple columns I have Data frame : And i need the result like this: I am not getting a idea how to do this.	[ -0.0009307861328125, 0.00811767578125, -0.0120849609375, 0.041259765625, -0.006622314453125, -0.00531005859375, 0.000396728515625, 0.01080322265625, 0.004425048828125, 0.024169921875, -0.008056640625, -0.005126953125, 0.00421142578125, -0.0023345947265625, -0.01287841796875, -0.0163574...	[ 1257, 2182, 10, 3365, 316, 19, 35509, 98, 48716, 146232, 2241, 1430, 10237, 1779, 11809, 123789, 3871, 16750, 1884, 903, 20949, 6528, 3642, 54 ]	[ 0.1524658203125, 0.2113037109375, 0.056671142578125, 0.1754150390625, 0.18505859375, 0.07373046875, 0.1480712890625, 0.06427001953125, 0.1881103515625, 0.172119140625, 0.0833740234375, 0.06158447265625, 0.1751708984375, 0.009124755859375, 0.050048828125, 0.196044921875, 0.09008789062...	embed
41057458_c0	41057458	scala	0	Title: Downloading akka-http jar files Problem title: Downloading akka-http jar files Tags: akka-http, scala Problem: Downloading akka-http jar files I am unable to find akka-http jar files anywhere. Where can I download them from? ( without sbt ) Code signals: Downloading	Downloading akka-http jar files Downloading akka-http jar files akka-http scala Downloading Downloading akka-http jar files I am unable to find akka-http jar files anywhere. Where can I download them from? ( without sbt )	[ -0.01190185546875, 0.0238037109375, -0.012451171875, -0.0028228759765625, 0.00028228759765625, 0.0028533935546875, -0.0142822265625, 0.00555419921875, 0.00396728515625, 0.0001316070556640625, 0.005218505859375, -0.0286865234375, -0.001953125, 0.0038299560546875, 0.0181884765625, -0.005...	[ 4857, 214, 81866, 5475, 35125, 102158, 146232, 87, 444, 51, 2886, 47, 7413, 9, 151107, 78662, 831, 7026, 2856, 1295, 15490, 91, 16723 ]	[ 0.12890625, 0.040130615234375, 0.2286376953125, 0.2236328125, 0.23046875, 0.172119140625, 0.217529296875, 0.04241943359375, 0.053680419921875, 0.090576171875, 0.1929931640625, 0.04852294921875, 0.11181640625, 0.032257080078125, 0.1163330078125, 0.0648193359375, 0.058197021484375, 0...	embed
46756577_c0	46756577	scala	0	Title: profiling akka dispatchers Problem title: profiling akka dispatchers Tags: scala, jprofiler, akka Problem: profiling akka dispatchers I am looking at akka application using jprofiler. can someone please explain how to read it and what can we deduct from such image ?	profiling akka dispatchers profiling akka dispatchers scala jprofiler akka profiling akka dispatchers I am looking at akka application using jprofiler. can someone please explain how to read it and what can we deduct from such image ?	[ 0.0166015625, 0.001373291015625, -0.00677490234375, -0.0225830078125, -0.01318359375, -0.01141357421875, 0.01434326171875, -0.0031585693359375, -0.0078125, -0.023193359375, 0.00927734375, 0.021240234375, 0.007171630859375, -0.004913330078125, 0.0115966796875, -0.006622314453125, 0.00...	[ 9468, 214, 81866, 58580, 257, 5372, 146232, 1647, 58395, 56, 87, 16487, 99, 38415, 17368, 22008, 22936, 73342, 3642, 47, 12301, 442, 831, 8, 77193, 1295, 6044, 29569 ]	[ 0.2435302734375, 0.0931396484375, 0.193603515625, 0.09661865234375, 0.09381103515625, 0.12249755859375, 0.19921875, 0.11761474609375, 0.267333984375, 0.1563720703125, 0.019317626953125, 0.0823974609375, 0.004062652587890625, 0.1485595703125, 0.0548095703125, 0.00133514404296875, 0.01...	embed
57531778_c0	57531778	scala	0	Title: How to find the max value of multiple columns? Problem title: How to find the max value of multiple columns? Tags: scala, apache-spark-sql, apache-spark Problem: How to find the max value of multiple columns? Code signals: How, Name, Alex, John, Alice, Mark, MaxValue	How to find the max value of multiple columns? How to find the max value of multiple columns? scala apache-spark-sql apache-spark How Name Alex John Alice Mark MaxValue How to find the max value of multiple columns? I am trying to find the maximum value of multiple columns in a Spark dataframe. Each Column has a value ...	[ 0.00439453125, -0.0032196044921875, 0.00102996826171875, 0.0537109375, 0.000732421875, -0.003875732421875, 0.013671875, 0.0034332275390625, 0.005401611328125, 0.00775146484375, -0.004974365234375, -0.002349853515625, 0.01251220703125, -0.00732421875, 0.0016326904296875, -0.024536132812...	[ 11249, 47, 7413, 18389, 34292, 111, 48716, 3365, 316, 1779, 146232, 2241, 1430, 10237, 99247, 15757, 20984, 4939, 66083, 7880, 9920, 856, 50770, 38132, 152810, 2053, 160328, 98423, 233987, 41929, 10644, 1884, 41206, 2320 ]	[ 0.037628173828125, 0.0261383056640625, 0.0894775390625, 0.19775390625, 0.2059326171875, 0.044342041015625, 0.213134765625, 0.168212890625, 0.185302734375, 0.0966796875, 0.1376953125, 0.046661376953125, 0.0635986328125, 0.118896484375, 0.129638671875, 0.040496826171875, 0.126220703125...	embed
44362062_c0	44362062	scala	0	Title: Scala type mismatch [scala] Problem title: Scala type mismatch [scala] Tags: scala Problem: Scala type mismatch [scala] Code signals: Scala, Actors:RDD, name:String, count:Int, Float, count1, Actors.lookup, i_count, count1.isEmpty, count.toFloat, i_count.toFloat, Unit	Scala type mismatch [scala] Scala type mismatch [scala] scala Scala Actors:RDD name:String count:Int Float count1 Actors.lookup i_count count1.isEmpty count.toFloat i_count.toFloat Unit Scala type mismatch [scala] I have the following function and I get the following error Is it caused by divide 0 error? How to solve t...	[ 0.01904296875, 0.0164794921875, -0.01312255859375, 0.000789642333984375, 0.0196533203125, -0.0147705078125, -0.00634765625, 0.0002841949462890625, -0.00897216796875, 0.0218505859375, 0.0064697265625, -0.0223388671875, 0.0086669921875, -0.0093994140625, 0.0218505859375, -0.0286865234375...	[ 152653, 11, 10644, 1239, 98753, 62309, 146232, 185617, 40756, 397, 71713, 214, 54529, 4153, 18, 38699, 257, 418, 64747, 2037, 17, 71013, 5, 164, 134332, 939, 188, 365, 46640, 25632, 32354, 2046, 18499, 143434, 101637, 757, 86869, 2967 ]	[ 0.16552734375, 0.07208251953125, 0.182373046875, 0.1204833984375, 0.2410888671875, 0.15087890625, 0.1739501953125, 0.1270751953125, 0.0908203125, 0.0782470703125, 0.07061767578125, 0.013885498046875, 0.1490478515625, 0.001251220703125, 0.03369140625, 0.146484375, 0.050994873046875, ...	embed
44298716_c0	44298716	scala	0	Title: How to get a flattened object/string output in parquet/spark/scala? Problem title: How to get a flattened object/string output in parquet/spark/scala? Tags: apache-spark, scala Problem: How to get a flattened object/string output in parquet/spark/scala? Code signals: How	How to get a flattened object/string output in parquet/spark/scala? How to get a flattened object/string output in parquet/spark/scala? apache-spark scala How How to get a flattened object/string output in parquet/spark/scala? I have an parquet object where the schema contains nested entries like the following: How can...	[ 0.02587890625, 0.01214599609375, -0.0203857421875, 0.0196533203125, -0.00058746337890625, -0.01708984375, 0.025146484375, -0.003997802734375, -0.0086669921875, 0.028564453125, -0.0011444091796875, -0.014892578125, 0.0010833740234375, -0.0142822265625, -0.033203125, -0.0142822265625, ...	[ 11249, 2046, 49878, 510, 297, 36746, 91693, 140992, 49663, 18, 10237, 62309, 23, 7, 2241, 1430, 146232, 64, 61903, 70541, 8512, 112820, 25632, 17368, 131999, 26818, 150632, 35509, 60875, 42805, 18852 ]	[ 0.0445556640625, 0.0877685546875, 0.2069091796875, 0.18359375, 0.1126708984375, 0.1788330078125, 0.179443359375, 0.205810546875, 0.1326904296875, 0.1221923828125, 0.1214599609375, 0.213623046875, 0.036376953125, 0.0299072265625, 0.03887939453125, 0.0389404296875, 0.18994140625, 0.0...	embed
67903819_c0	67903819	scala	0	Title: Spark (Scala) udf to modify map in column of dataframe Problem title: Spark (Scala) udf to modify map in column of dataframe Tags: scala, apache-spark Problem: Spark (Scala) udf to modify map in column of dataframe Code signals: Spark, Scala, keyword1, keyword2, keyword3	Spark (Scala) udf to modify map in column of dataframe Spark (Scala) udf to modify map in column of dataframe scala apache-spark Spark Scala keyword1 keyword2 keyword3 Spark (Scala) udf to modify map in column of dataframe I have a dataframe that looks something like this. The tfs column is a map of String to Long and ...	[ 0.02197265625, 0.0223388671875, -0.0081787109375, 0.006561279296875, -0.006927490234375, -0.026611328125, -0.00048828125, 0.010009765625, 0.0028076171875, 0.02001953125, -0.01708984375, -0.005279541015625, -0.0025634765625, 0.0152587890625, 0.00372314453125, -0.00531005859375, -0.014...	[ 152810, 294, 62309, 1872, 420, 47, 2811, 40383, 22288, 23, 3365, 316, 19, 2053, 160328, 146232, 2241, 1430, 7, 10237, 152653, 11, 166117, 418, 304, 363, 111, 33342, 1884, 903, 808, 17447, 23351, 214, 14407, 57888, 621, 21917, 9821, 70163,...	[ 0.276611328125, 0.045318603515625, 0.23095703125, 0.1260986328125, 0.2177734375, 0.0889892578125, 0.1844482421875, 0.1783447265625, 0.1986083984375, 0.05059814453125, 0.135986328125, 0.14013671875, 0.06329345703125, 0.1077880859375, 0.244384765625, 0.203125, 0.0775146484375, 0.0853...	embed
49514593_c0	49514593	scala	0	Title: Import for getHourOfDay scala Problem title: Import for getHourOfDay scala Tags: scala Problem: Import for getHourOfDay scala I have a scala function to test the hours of the day, I used the method getHourOfDay and I added the concerned import, but still display an error.	Import for getHourOfDay scala Import for getHourOfDay scala scala Import for getHourOfDay scala I have a scala function to test the hours of the day, I used the method getHourOfDay and I added the concerned import, but still display an error.	[ 0.0184326171875, -0.02392578125, 0.00494384765625, 0.0157470703125, -0.01312255859375, -0.029296875, 0.01080322265625, 0.010986328125, -0.008056640625, -0.004608154296875, 0.005096435546875, -0.031005859375, -0.0133056640625, 0.004730224609375, 0.0208740234375, -0.02783203125, 0.0116...	[ 92966, 2046, 11193, 474, 132887, 97141, 146232, 100, 32354, 3034, 21974, 111, 5155, 55300, 49814, 142837, 24927, 7464, 44116, 18499 ]	[ 0.2098388671875, 0.0791015625, 0.12152099609375, 0.1400146484375, 0.1754150390625, 0.17041015625, 0.2305908203125, 0.002147674560546875, 0.10894775390625, 0.156982421875, 0.1923828125, 0.05902099609375, 0.1146240234375, 0.0941162109375, 0.0748291015625, 0.037750244140625, 0.215332031...	embed
47743141_c0	47743141	scala	0	Title: Operate within a group by and populate additional columns Problem title: Operate within a group by and populate additional columns Tags: scala, apache-spark-sql Problem: Operate within a group by and populate additional columns Code signals: Operate, field1, field2, Amount	Operate within a group by and populate additional columns Operate within a group by and populate additional columns scala apache-spark-sql Operate field1 field2 Amount Operate within a group by and populate additional columns I have a dataframes as below: I need to convert it to : Please advise!	[ 0.0196533203125, -0.01422119140625, -0.0302734375, 0.0281982421875, -0.0086669921875, 0.00131988525390625, 0.01336669921875, 0.02001953125, 0.01226806640625, 0.0213623046875, -0.0042724609375, 0.0030364990234375, -0.00139617919921875, -0.020751953125, -0.0074462890625, 0.00506591796875...	[ 16556, 67, 28032, 10, 21115, 390, 136, 27623, 78301, 3365, 316, 146232, 2241, 1430, 10237, 99247, 44457, 418, 304, 121147, 1779, 2053, 160328, 7, 35064, 3871, 47, 96760, 442, 152, 30607, 115992 ]	[ 0.2239990234375, 0.080322265625, 0.1796875, 0.01483154296875, 0.196533203125, 0.138671875, 0.06231689453125, 0.1439208984375, 0.1361083984375, 0.1612548828125, 0.1737060546875, 0.2236328125, 0.0745849609375, 0.06329345703125, 0.2027587890625, 0.2203369140625, 0.196533203125, 0.0390...	embed
48821212_c0	48821212	scala	0	Title: Filtering on multiple columns in Spark dataframes Problem title: Filtering on multiple columns in Spark dataframes Tags: apache-spark, scala, apache-spark-sql Problem: Filtering on multiple columns in Spark dataframes Code signals: Filtering, Spark, Seq, df.show, df.filter	Filtering on multiple columns in Spark dataframes Filtering on multiple columns in Spark dataframes apache-spark scala apache-spark-sql Filtering Spark Seq df.show df.filter Filtering on multiple columns in Spark dataframes Suppose I have a dataframe in Spark as shown below - Here is how it looks like - A,B and C are t...	[ 0.01531982421875, 0.0213623046875, -0.0185546875, 0.0220947265625, -0.00225830078125, -0.021240234375, 0.0198974609375, -0.00506591796875, 0.022216796875, 0.035888671875, -0.01531982421875, -0.019287109375, -0.00836181640625, 0.0233154296875, -0.0235595703125, 0.006134033203125, 0.01...	[ 128896, 214, 98, 48716, 3365, 316, 1779, 152810, 2053, 160328, 2241, 1430, 10237, 146232, 99247, 503, 864, 420, 31374, 120337, 23, 33342, 1884, 571, 136, 153603, 86723, 757, 33636, 112199, 169424, 8353, 363, 45831, 382, 162515, 3444, 46312, ...	[ 0.283447265625, 0.0165252685546875, 0.1043701171875, 0.1778564453125, 0.170654296875, 0.1771240234375, 0.048309326171875, 0.29638671875, 0.1192626953125, 0.222900390625, 0.060943603515625, 0.020477294921875, 0.1844482421875, 0.1485595703125, 0.1297607421875, 0.0048828125, 0.128417968...	embed
11695990_c0	11695990	scala	0	Title: Creating a new map from json JsObject Problem title: Creating a new map from json JsObject Tags: scala Problem: Creating a new map from json JsObject Code signals: json, Creating, JsObject, TEMPERATURE_C, TEMPERATURE_F, json.fields.foreach, obj.as, fields.map, Map, value.as	Creating a new map from json JsObject Creating a new map from json JsObject scala json Creating JsObject TEMPERATURE_C TEMPERATURE_F json.fields.foreach obj.as fields.map Map value.as Creating a new map from json JsObject I have the following json string: I would like to iterate though this object and create a new json...	[ 0.00167083740234375, 0.003570556640625, -0.018798828125, -0.00946044921875, -0.01123046875, -0.0213623046875, -0.0012969970703125, 0.01220703125, 0.0146484375, 0.0031890869140625, -0.007720947265625, 0.00142669677734375, 0.021484375, 0.00885009765625, 0.015625, -0.0201416015625, -0.0...	[ 56781, 1916, 3525, 22288, 1295, 1647, 1681, 821, 7, 46471, 75161, 146232, 85895, 30425, 284, 165471, 441, 919, 28394, 89700, 934, 995, 170, 162, 44457, 62346, 42719, 34292, 765, 70, 25632, 79315, 2806, 1884, 8560, 67, 21208, 903, 36746, 2...	[ 0.1619873046875, 0.047698974609375, 0.1494140625, 0.2347412109375, 0.10565185546875, 0.1148681640625, 0.209716796875, 0.163330078125, 0.099609375, 0.162353515625, 0.1434326171875, 0.1275634765625, 0.1085205078125, 0.1163330078125, 0.05572509765625, 0.0299072265625, 0.014251708984375,...	embed
60973046_c0	60973046	scala	0	Title: How to use split function in scala Problem title: How to use split function in scala Tags: scala, split Problem: How to use split function in scala I have String val s1 = "dog#$&cat#$&cow#$&snak" val s2 = s1.split() how to split string into words Code signals: How, s1.split	How to use split function in scala How to use split function in scala scala split How s1.split How to use split function in scala I have String how to split string into words	[ 0.00116729736328125, -0.00531005859375, -0.017578125, 0.00823974609375, -0.01611328125, 0.0057373046875, 0.0014801025390625, 0.00408935546875, 0.02587890625, 0.00055694580078125, 0.0111083984375, -0.01123046875, -0.00927734375, -0.004852294921875, 0.0272216796875, -0.000155448913574218...	[ 11249, 4527, 65450, 32354, 23, 146232, 47, 91, 418, 7008, 4353, 23351, 3642, 79315, 3934, 34153 ]	[ 0.0274810791015625, 0.11224365234375, 0.278564453125, 0.18896484375, 0.023681640625, 0.2305908203125, 0.03216552734375, 0.05908203125, 0.0528564453125, 0.07305908203125, 0.2208251953125, 0.113525390625, 0.005771636962890625, 0.1748046875, 0.06951904296875, 0.14697265625 ]	embed
66720397_c0	66720397	scala	0	Title: Scala 2: generic function that returns another generic function Problem title: Scala 2: generic function that returns another generic function Tags: scala Problem: Scala 2: generic function that returns another generic function Code signals: Scala, gen1, Compile, Compilation	Scala 2: generic function that returns another generic function Scala 2: generic function that returns another generic function scala Scala gen1 Compile Compilation Scala 2: generic function that returns another generic function How can you return a generic function from another generic function? This doesn't work But ...	[ 0.00921630859375, 0.00933837890625, -0.0269775390625, 0.000972747802734375, 0.01165771484375, 0.007354736328125, -0.009033203125, -0.01458740234375, 0.006988525390625, -0.016845703125, -0.01177978515625, -0.0185546875, -0.00139617919921875, 0.0036163330078125, 0.0064697265625, -0.00095...	[ 152653, 11, 15573, 189534, 32354, 30646, 15700, 146232, 9226, 418, 15612, 1340, 831, 10, 1295, 18, 4488, 3444, 61924, 17932, 23, 5117, 1884, 7722, 212059, 31577, 183234, 54, 15145, 25, 7, 209806, 442, 116 ]	[ 0.14794921875, 0.0938720703125, 0.1649169921875, 0.2288818359375, 0.18603515625, 0.1923828125, 0.10137939453125, 0.1695556640625, 0.0797119140625, 0.022735595703125, 0.03582763671875, 0.05865478515625, 0.01214599609375, 0.00750732421875, 0.1055908203125, 0.013702392578125, 0.04544067...	embed
40465138_c0	40465138	scala	0	Title: how to catch spark exception and do something? Problem title: how to catch spark exception and do something? Tags: hadoop, apache-spark, scala Problem: how to catch spark exception and do something? Code signals: output, item.map, Exception, e.getClass, e.getMessage, mc.close	how to catch spark exception and do something? how to catch spark exception and do something? hadoop apache-spark scala output item.map Exception e.getClass e.getMessage mc.close how to catch spark exception and do something? how to catch a exception and do something in catch block when I save data into hdfs fail. like...	[ 0.004058837890625, 0.047119140625, -0.01123046875, -0.01519775390625, 0.0159912109375, 0.0103759765625, 0.0135498046875, -0.0027923583984375, 0.00131988525390625, 0.01141357421875, -0.006317138671875, -0.0125732421875, 0.001800537109375, 0.00372314453125, 0.019775390625, -0.02294921875...	[ 3642, 105556, 131999, 131527, 136, 54, 9844, 256, 246, 2146, 2241, 1430, 10237, 146232, 140992, 35735, 62346, 5443, 63928, 3794, 140803, 155648, 47, 46389, 30098, 2053, 3934, 26488, 17447, 35782, 3444, 28350, 10778, 22631, 104250 ]	[ 0.049468994140625, 0.21630859375, 0.25341796875, 0.2607421875, 0.057891845703125, 0.0679931640625, 0.0634765625, 0.07037353515625, 0.053802490234375, 0.140869140625, 0.06524658203125, 0.058685302734375, 0.1717529296875, 0.190673828125, 0.0908203125, 0.09857177734375, 0.0966796875, ...	embed
60257446_c0	60257446	scala	0	Title: How correctly filter column with data separated by a comma? Problem title: How correctly filter column with data separated by a comma? Tags: dataframe, apache-spark, scala Problem: How correctly filter column with data separated by a comma? Code signals: How, Array, df.filter	How correctly filter column with data separated by a comma? How correctly filter column with data separated by a comma? dataframe apache-spark scala How Array df.filter How correctly filter column with data separated by a comma? Let's say I have such DataFrame. Also, I have an array with numbers: var array = Array(200,...	[ 0.00958251953125, -0.003753662109375, -0.01483154296875, 0.0172119140625, -0.005096435546875, -0.00750732421875, 0.03466796875, -0.00262451171875, 0.022216796875, 0.026123046875, -0.01904296875, -0.0157470703125, 0.00408935546875, 0.0024261474609375, -0.0234375, -0.00830078125, 0.024...	[ 11249, 26785, 538, 46312, 3365, 316, 19, 678, 2053, 84797, 71, 390, 10, 96117, 160328, 2241, 1430, 10237, 146232, 69253, 53, 104, 420, 120337, 6044, 11809, 108386, 282, 10298, 101935, 285, 5955, 14929, 16750, 18151, 18, 4488, 11737, 30646, ...	[ 0.05853271484375, 0.1483154296875, 0.026123046875, 0.263671875, 0.162109375, 0.18408203125, 0.0545654296875, 0.1109619140625, 0.170166015625, 0.1737060546875, 0.092529296875, 0.0771484375, 0.04791259765625, 0.26318359375, 0.1622314453125, 0.06591796875, 0.0789794921875, 0.144287109...	embed
49634517_c0	49634517	scala	0	Title: Choose directory for package Problem title: Choose directory for package Tags: scala, sbt Problem: Choose directory for package When I execute sbt package It puts my jar into /target/scala-2.11 I want it to be in just /target How do I do this? Code signals: Choose, scala-2.11	Choose directory for package Choose directory for package scala sbt Choose scala-2.11 Choose directory for package When I execute It puts my jar into I want it to be in just How do I do this?	[ 0.01611328125, -0.00537109375, -0.00921630859375, -0.0014190673828125, -0.0286865234375, 0.013916015625, -0.004669189453125, 0.01556396484375, 0.000675201416015625, 0.0322265625, 0.00506591796875, 0.002044677734375, -0.01080322265625, 0.0026092529296875, 0.006134033203125, -0.012207031...	[ 211525, 14364, 53, 100, 98169, 146232, 91, 16723, 5428, 1662, 71924, 13, 1650, 3884, 759, 35125, 3934, 87, 3444, 442, 47, 186, 23, 1660, 54, 903 ]	[ 0.1561279296875, 0.2005615234375, 0.09783935546875, 0.0855712890625, 0.2337646484375, 0.2454833984375, 0.0251617431640625, 0.1590576171875, 0.06793212890625, 0.12164306640625, 0.1953125, 0.041839599609375, 0.0294036865234375, 0.11456298828125, 0.04766845703125, 0.2305908203125, 0.159...	embed
38733276_c0	38733276	scala	0	Title: How Scala make a series for type Long? Problem title: How Scala make a series for type Long? Tags: scala Problem: How Scala make a series for type Long? it is ok when 2 to 9999 but it is wrong when 2l to 9999999999l ,where l stands for type Long. Code signals: How, Scala, Long	How Scala make a series for type Long? How Scala make a series for type Long? scala How Scala Long How Scala make a series for type Long? it is ok when 2 to 9999 but it is wrong when 2l to 9999999999l ,where l stands for type Long.	[ 0.02001953125, 0.005767822265625, -0.0235595703125, -0.006378173828125, -0.01483154296875, -0.0103759765625, -0.0107421875, 0.019775390625, -0.01031494140625, 0.01544189453125, -0.007781982421875, -0.01025390625, 0.02783203125, 0.002349853515625, 0.0289306640625, 0.00067901611328125, ...	[ 11249, 152653, 11, 3249, 10, 36549, 100, 10644, 14407, 146232, 83, 3664, 3229, 116, 47, 483, 65040, 1284, 44691, 141, 96, 9157 ]	[ 0.08856201171875, 0.2296142578125, 0.18310546875, 0.1146240234375, 0.0682373046875, 0.212646484375, 0.05267333984375, 0.2093505859375, 0.182373046875, 0.22509765625, 0.0305633544921875, 0.14794921875, 0.0592041015625, 0.114990234375, 0.08843994140625, 0.09521484375, 0.1776123046875, ...	embed
42798697_c0	42798697	scala	0	Title: How to combine two spark data frames in sorted order Problem title: How to combine two spark data frames in sorted order Tags: apache-spark-sql, sorting, scala, apache-spark Problem: How to combine two spark data frames in sorted order Code signals: How, Seq, a.show, b.show, c.show	How to combine two spark data frames in sorted order How to combine two spark data frames in sorted order apache-spark-sql sorting scala apache-spark How Seq a.show b.show c.show How to combine two spark data frames in sorted order I want to combine two dataframes a and b into a dataframe c that is sorted on a column. ...	[ 0.0302734375, 0.0289306640625, -0.01324462890625, 0.0201416015625, -0.0003814697265625, -0.0042724609375, 0.0142822265625, -0.006011962890625, -0.000823974609375, 0.00433349609375, -0.00823974609375, 0.0021209716796875, 0.00445556640625, -0.0081787109375, -0.011962890625, -0.0242919921...	[ 11249, 70163, 6626, 131999, 2053, 2674, 90, 17497, 71, 12989, 47, 23, 2241, 1430, 7, 10237, 99247, 12096, 146232, 503, 864, 10, 31374, 876, 501, 3444, 160328, 136, 3934, 98, 3365, 316, 16750 ]	[ 0.062103271484375, 0.231201171875, 0.1444091796875, 0.26025390625, 0.16552734375, 0.189453125, 0.074951171875, 0.18408203125, 0.08636474609375, 0.1583251953125, 0.02093505859375, 0.013763427734375, 0.06103515625, 0.0687255859375, 0.0341796875, 0.191162109375, 0.1561279296875, 0.186...	embed
47635971_c2	47635971	scala	2	akka-stream_2.12:2.5.6, com.typesafe.play:play-streams_2.12:2.6.7, com.typesafe.akka:akka-http-core_2.12:10.0.10, com.typesafe.akka:akka-actor_2.12:2.5.6, com.typesafe.akka:akka-slf4j_2.12:2.5.6, com.typesafe.akka:akka-parsing_2.12:10.0.10, org.reactivemongo:reactivemongo_2.12:0.12.6, Run	akka-stream_2.12:2.5.6, com.typesafe.play:play-streams_2.12:2.6.7, com.typesafe.akka:akka-http-core_2.12:10.0.10, com.typesafe.akka:akka-actor_2.12:2.5.6, com.typesafe.akka:akka-slf4j_2.12:2.5.6, com.typesafe.akka:akka-parsing_2.12:10.0.10, org.reactivemongo:reactivemongo_2.12:0.12.6, Run	[ -0.0213623046875, 0.018310546875, 0.000560760498046875, 0.00799560546875, 0.00848388671875, 0.00189208984375, -0.00836181640625, -0.004119873046875, 0.00102996826171875, -0.007781982421875, 0.0203857421875, -0.0047607421875, 0.015869140625, 0.0172119140625, 0.023193359375, 0.0080566406...	[ 81866, 9, 86429, 454, 5442, 1530, 12, 124525, 4, 375, 5, 50986, 115840, 20706, 7, 178325, 344, 161, 5475, 30854, 19721, 99929, 963, 11, 18770, 17463, 617, 170, 2500, 6953, 30910, 107, 71232, 31525, 102014, 154784, 28398 ]	[ 0.2724609375, 0.050872802734375, 0.25439453125, 0.040496826171875, 0.1407470703125, 0.2220458984375, 0.0897216796875, 0.226806640625, 0.06475830078125, 0.0947265625, 0.08148193359375, 0.1663818359375, 0.25537109375, 0.1893310546875, 0.0589599609375, 0.1588134765625, 0.1220703125, 0...	embed
67033168_c1	67033168	scala	1	BT problem, so I can open a bug? How can I get additional information on why the build hangs, so I can try to avoid the problem? Code signals: Scala, SBT, Java, github.com, backup.git, e8bdc8a1e878bd15129f08b20df51d54ebd86e4a, b273a531c19ad68600026429643e13c6d2761c16, Docker, build-app.sh	BT problem, so I can open a bug? How can I get additional information on why the build hangs, so I can try to avoid the problem? Code signals: Scala, SBT, Java, github.com, backup.git, e8bdc8a1e878bd15129f08b20df51d54ebd86e4a, b273a531c19ad68600026429643e13c6d2761c16, Docker, build-app.sh	[ 0.0072021484375, 0.03515625, -0.00360107421875, -0.005279541015625, -0.01422119140625, 0.00836181640625, 0.00170135498046875, -0.0054931640625, -0.0008087158203125, 0.0072021484375, -0.00921630859375, -0.034912109375, 0.0091552734375, 0.01397705078125, 0.00125885009765625, -0.006652832...	[ 66145, 2967, 221, 831, 9803, 54608, 2046, 78301, 4677, 98, 15400, 70, 45367, 10756, 7, 9790, 71864, 28864, 26073, 152653, 11, 159, 52681, 41925, 62270, 32102, 277, 126502, 15769, 200439, 117595, 420, 34145, 15276, 3768, 5016, 712, 133572, 2...	[ 0.2425537109375, 0.162841796875, 0.012847900390625, 0.050445556640625, 0.12939453125, 0.1766357421875, 0.0565185546875, 0.07421875, 0.1190185546875, 0.00390625, 0.109619140625, 0.03753662109375, 0.2335205078125, 0.236083984375, 0.1197509765625, 0.04132080078125, 0.1746826171875, 0....	embed
2728959_c0	2728959	scala	0	Title: When are singleton objects constructed? Problem title: When are singleton objects constructed? Tags: scala Problem: When are singleton objects constructed? In object O { // construction code and member initialization } construct, when is this code going to be run? Code signals: When	When are singleton objects constructed? When are singleton objects constructed? scala When When are singleton objects constructed? In construct, when is this code going to be run?	[ 0.0167236328125, -0.0120849609375, 0.0125732421875, -0.00836181640625, -0.0027618408203125, -0.00024127960205078125, 0.015625, 0.013916015625, 0.000209808349609375, 0.019775390625, -0.0186767578125, -0.048583984375, 0.011962890625, -0.00482177734375, -0.0042724609375, -0.00958251953125...	[ 14847, 621, 11001, 1507, 36746, 7, 64549, 297, 146232, 3229, 903, 18151, 7730, 11675 ]	[ 0.1138916015625, 0.07257080078125, 0.202392578125, 0.2310791015625, 0.2098388671875, 0.056884765625, 0.2325439453125, 0.1175537109375, 0.20458984375, 0.0888671875, 0.02044677734375, 0.1739501953125, 0.003662109375, 0.1387939453125 ]	embed

56440710_c0

56440710

scala

0

Title: scala, filter RDD Problem title: scala, filter RDD Tags: scala, rdd, apache-spark Problem: scala, filter RDD Code signals: RDD, Seq, file2, Array

scala, filter RDD scala, filter RDD scala rdd apache-spark RDD Seq file2 Array scala, filter RDD i have val: and I would like to filter in file2 exists element in "key" I want something like this:

[ 0.0145263671875, 0.0172119140625, -0.0244140625, 0.0103759765625, 0.01287841796875, -0.003570556640625, 0.00732421875, 0.03662109375, -0.01312255859375, 0.0235595703125, -0.01239013671875, -0.0096435546875, -0.0035247802734375, 0.01080322265625, -0.009765625, 0.00921630859375, 0.0073...

[ 146232, 46312, 627, 24057, 4, 1690, 4028, 2241, 1430, 10237, 503, 864, 11435, 304, 69253, 3502, 2806, 1884, 32316, 7, 12830, 23, 19770, 3444, 903 ]

[ 0.234619140625, 0.2626953125, 0.0924072265625, 0.2333984375, 0.0150909423828125, 0.03741455078125, 0.1678466796875, 0.07171630859375, 0.0780029296875, 0.1446533203125, 0.066162109375, 0.13330078125, 0.1666259765625, 0.1304931640625, 0.09332275390625, 0.1744384765625, 0.03909301757812...

embed

46440770_c0

46440770

scala

0

Title: Scala Tail Recursion Problem title: Scala Tail Recursion Tags: recursion, scala Problem: Scala Tail Recursion Code signals: Scala, Tail, Recursion

Scala Tail Recursion Scala Tail Recursion recursion scala Scala Tail Recursion Scala Tail Recursion So I have this recursive function that multiplies two numbers, simple enough. Now I'm trying to turn it into a tail recursive function, and I tried this: However I get the following error: Question: Can you explain to me...

[ 0.0218505859375, 0.017333984375, 0.008056640625, 0.0081787109375, 0.01336669921875, -0.00628662109375, -0.02099609375, -0.0101318359375, -0.000614166259765625, -0.006805419921875, -0.0019073486328125, -0.0286865234375, -0.00616455078125, 0.0169677734375, 0.032958984375, -0.001777648925...

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[ 0.137939453125, 0.0772705078125, 0.187255859375, 0.15478515625, 0.124267578125, 0.11376953125, 0.0777587890625, 0.2095947265625, 0.05126953125, 0.170654296875, 0.02349853515625, 0.0635986328125, 0.142333984375, 0.1917724609375, 0.1962890625, 0.0750732421875, 0.1563720703125, 0.1663...

embed

20220013_c0

20220013

scala

0

Title: List of lists in Scala? Problem title: List of lists in Scala? Tags: scala, list Problem: List of lists in Scala? Code signals: List, Scala, Lists

List of lists in Scala? List of lists in Scala? scala list List Scala Lists List of lists in Scala? I have a grid (that is declared as a List (of Lists) ) and each 3*3 block for example is indexed as 0 , the next 3*3 block is indexed as 1 , etc. I need to write a method that returns the elements ( integers ) in a parti...

[ 0.0224609375, 0.00860595703125, 0.0026702880859375, -0.0018157958984375, -0.00421142578125, 0.0013580322265625, 0.0084228515625, 0.0031280517578125, 0.00311279296875, 0.018310546875, -0.0050048828125, -0.029052734375, 0.0078125, 0.01507568359375, 0.00811767578125, -0.00299072265625, ...

[ 32036, 111, 5303, 7, 23, 152653, 11, 32, 146232, 87, 765, 120067, 159978, 237, 4390, 12638, 138, 1639, 363, 46389, 63262, 757, 11737, 106, 3871, 33022, 55300, 30646, 80854, 892, 26255, 17311, 34475, 27781, 876, 177609, 5608, 8337, 201, 11...

[ 0.23486328125, 0.09100341796875, 0.240234375, 0.12548828125, 0.1153564453125, 0.236328125, 0.205810546875, 0.030548095703125, 0.208984375, 0.02801513671875, 0.0091552734375, 0.19091796875, 0.0706787109375, 0.014404296875, 0.044769287109375, 0.0154876708984375, 0.04962158203125, 0.0...

embed

36446827_c0

36446827

scala

0

Title: Apache Spark Build error Problem title: Apache Spark Build error Tags: scala, apache-spark Problem: Apache Spark Build error Code signals: Apache, Spark, Build

Apache Spark Build error Apache Spark Build error scala apache-spark Apache Spark Build Apache Spark Build error I'm building Apache spark source code in ubuntu 14.04.4 (spark version: 1.6.0 with Scala code runner version 2.10.4) with command and getting the following error, Where I'm getting wrong?

[ 0.01214599609375, 0.04296875, -0.018310546875, 0.00311279296875, -0.003265380859375, -0.00421142578125, -0.0074462890625, -0.0062255859375, -0.00439453125, 0.040771484375, 0.01336669921875, -0.028564453125, 0.00726318359375, -0.00238037109375, 0.00994873046875, 0.00927734375, 0.00096...

[ 9795, 1430, 152810, 121137, 18499, 146232, 2241, 7, 10237, 33976, 131999, 31344, 18151, 23, 198996, 6370, 39876, 617, 11389, 51748, 2389, 152653, 11, 142117, 116, 10179, 29557, 75101, 25632, 78662, 39, 20949, 44691 ]

[ 0.1658935546875, 0.166259765625, 0.2978515625, 0.2183837890625, 0.182373046875, 0.2205810546875, 0.122802734375, 0.031280517578125, 0.209228515625, 0.1671142578125, 0.2352294921875, 0.1175537109375, 0.1290283203125, 0.016845703125, 0.1307373046875, 0.1319580078125, 0.1826171875, 0....

embed

33112727_c0

33112727

scala

0

Title: Get values from an RDD Problem title: Get values from an RDD Tags: scala, hadoop, apache-spark Problem: Get values from an RDD Code signals: an, Get, RDD, Array

Get values from an RDD Get values from an RDD scala hadoop apache-spark an Get RDD Array Get values from an RDD I created an RDD wtih the following format using Scala : How can I get the list of the Array[1] from this RDD ? The data for the first data line is:

[ 0.001678466796875, -0.0029449462890625, -0.0162353515625, -0.00250244140625, -0.01129150390625, 0.0000782012939453125, 0.0103759765625, 0.01202392578125, -0.01055908203125, -0.0069580078125, 0.003326416015625, -0.007568359375, -0.00738525390625, 0.003631591796875, -0.0068359375, -0.001...

[ 20779, 142424, 1295, 142, 627, 24057, 146232, 256, 246, 2146, 2241, 1430, 10237, 69253, 53, 75935, 46560, 25632, 9384, 152653, 11, 831, 2046, 5303, 111, 25256, 903, 2053, 5117, 13315, 83 ]

[ 0.134033203125, 0.202880859375, 0.1458740234375, 0.060211181640625, 0.1279296875, 0.300537109375, 0.2435302734375, 0.0677490234375, 0.0784912109375, 0.1778564453125, 0.090087890625, 0.081787109375, 0.185791015625, 0.173583984375, 0.11181640625, 0.062103271484375, 0.0416259765625, 0...

embed

40221310_c0

40221310

scala

0

Title: Add Tuple to Map? Problem title: Add Tuple to Map? Tags: scala Problem: Add Tuple to Map? Code signals: Add, Tuple, Map, res8, scala.collection.immutable.Map, res0

Add Tuple to Map? Add Tuple to Map? scala Add Tuple Map res8 scala.collection.immutable.Map res0 Add Tuple to Map? Using Scala 2.11.8, I can append a key - value pair to a Map via: But how can I use tuple as the + 's argument? Nor does this work: Map#+ 's signature is: +(kv: (A, B)): Map[A, B] , so I'm not sure why it'...

[ 0.024169921875, 0.00860595703125, 0.0047607421875, -0.012451171875, -0.0228271484375, -0.005706787109375, -0.01129150390625, 0.00933837890625, 0.0213623046875, -0.006988525390625, 0.0125732421875, -0.0032958984375, -0.007110595703125, 0.052978515625, -0.0038909912109375, 0.002059936523...

[ 29117, 1371, 8705, 47, 42719, 146232, 3332, 1019, 196352, 1830, 561, 22819, 166179, 2389, 152653, 11, 34513, 119044, 831, 114689, 71, 22799, 34292, 80836, 1829, 3642, 4527, 370, 237, 997, 10750, 12876, 4488, 4904, 1328, 138256, 49706, 335, ...

[ 0.1650390625, 0.18603515625, 0.282958984375, 0.12255859375, 0.2484130859375, 0.2064208984375, 0.05242919921875, 0.06512451171875, 0.09185791015625, 0.012481689453125, 0.05731201171875, 0.113525390625, 0.1943359375, 0.03179931640625, 0.2159423828125, 0.1348876953125, 0.0869140625, 0...

embed

47160608_c0

47160608

scala

0

Title: Intellij SBT Timeout errors Problem title: Intellij SBT Timeout errors Tags: intellij-idea, sbt, scala Problem: Intellij SBT Timeout errors Code signals: Intellij, SBT, Timeout

Intellij SBT Timeout errors Intellij SBT Timeout errors intellij-idea sbt scala Intellij SBT Timeout Intellij SBT Timeout errors I'm new to Scala with SBT and I'm trying to figure out the new IntelliJIDE. When I follow the tutorial for setting up the below shows up: After adding the below artifact its still the same Ar...

[ 0.0126953125, 0.0284423828125, -0.0179443359375, 0.000560760498046875, -0.0184326171875, -0.006195068359375, -0.006805419921875, 0.0079345703125, -0.017578125, 0.005859375, -0.0003452301025390625, -0.01495361328125, -0.00860595703125, 0.01806640625, 0.0228271484375, 0.00055313110351562...

[ 24018, 150, 170, 159, 52681, 19055, 6056, 18499, 33049, 30610, 91, 16723, 146232, 3525, 152653, 11, 1375, 36497, 28960, 57143, 53550, 1257, 35064, 24372, 154107, 17662, 114700, 6863, 7464, 5701, 38420, 49814 ]

[ 0.1275634765625, 0.1339111328125, 0.2139892578125, 0.100341796875, 0.23095703125, 0.1661376953125, 0.14208984375, 0.156005859375, 0.177978515625, 0.1710205078125, 0.04779052734375, 0.1722412109375, 0.1729736328125, 0.013671875, 0.1668701171875, 0.11376953125, 0.1534423828125, 0.219...

embed

58982543_c0

58982543

scala

0

Title: Splitting dataframe Problem title: Splitting dataframe Tags: parsing, scala Problem: Splitting dataframe How would you split a dataframe in scala? {code}--- {code}--- Code signals: Splitting

Splitting dataframe Splitting dataframe parsing scala Splitting Splitting dataframe How would you split a dataframe in scala?

[ 0.0133056640625, 0.0142822265625, -0.00653076171875, 0.00872802734375, -0.01544189453125, -0.0198974609375, 0.017333984375, -0.0004730224609375, -0.00067138671875, 0.00173187255859375, -0.0174560546875, -0.02587890625, -0.02294921875, 0.00164031982421875, -0.003631591796875, 0.01177978...

[ 46474, 1916, 2053, 160328, 366, 6953, 146232, 11249, 2806, 398, 65450, 23 ]

[ 0.191650390625, 0.1368408203125, 0.147216796875, 0.263427734375, 0.1280517578125, 0.093505859375, 0.262939453125, 0.0628662109375, 0.10498046875, 0.03387451171875, 0.24267578125, 0.08270263671875 ]

embed

8526691_c0

8526691

scala

0

Title: Scala Stream confusion Problem title: Scala Stream confusion Tags: scala, recursion, stream, tail Problem: Scala Stream confusion Code signals: Scala, Stream, s.tail.map, x.head, s.take, List

Scala Stream confusion Scala Stream confusion scala recursion stream tail Scala Stream s.tail.map x.head s.take List Scala Stream confusion Running: I'd expect: And I get: Could you explain it to me?

[ 0.007293701171875, 0.025146484375, -0.000946044921875, -0.0198974609375, -0.0023651123046875, -0.014404296875, 0.003662109375, -0.0022735595703125, 0.02001953125, 0.00653076171875, 0.021484375, -0.0145263671875, 0.01324462890625, 0.028564453125, 0.0228271484375, -0.00689697265625, 0....

[ 152653, 11, 115061, 169463, 146232, 195625, 1830, 75973, 46741, 91, 62346, 1022, 31251, 78219, 32036, 28398, 87, 71, 41206, 3493, 2046, 12, 191147, 73342, 442, 47, 163 ]

[ 0.1707763671875, 0.08685302734375, 0.23486328125, 0.215576171875, 0.1827392578125, 0.140869140625, 0.026123046875, 0.2044677734375, 0.1922607421875, 0.039306640625, 0.1109619140625, 0.0299224853515625, 0.09979248046875, 0.11749267578125, 0.1260986328125, 0.059051513671875, 0.00198554...

embed

24172966_c0

24172966

scala

0

Title: scala, exception handling, promises Problem title: scala, exception handling, promises Tags: scala Problem: scala, exception handling, promises Code signals: Exception, p.future, Await.result

scala, exception handling, promises scala, exception handling, promises scala Exception p.future Await.result scala, exception handling, promises I am beginner in Scala and I have a problem with exception handling Code and as a result I got string An error has occured: java.lang.Exception , but it is followed by an Exc...

[ 0.01025390625, 0.021728515625, -0.0250244140625, -0.027587890625, 0.00066375732421875, -0.0004405975341796875, 0.0162353515625, -0.0225830078125, 0.0038299560546875, -0.00183868408203125, -0.00457763671875, -0.012939453125, -0.0035552978515625, 0.002777099609375, 0.0225830078125, -0.01...

[ 146232, 131527, 45064, 103036, 7, 5443, 63928, 915, 3125, 6644, 62, 634, 217, 2109, 7136, 9842, 1679, 152653, 11, 2967, 28864, 79315, 18499, 1556, 74918, 79, 330, 3066, 19279, 1284, 134629, 1528, 121011, 90, 44691 ]

[ 0.26025390625, 0.224853515625, 0.1920166015625, 0.21044921875, 0.061859130859375, 0.094970703125, 0.2386474609375, 0.05816650390625, 0.12548828125, 0.10498046875, 0.0152435302734375, 0.1383056640625, 0.1173095703125, 0.0692138671875, 0.1309814453125, 0.01763916015625, 0.0449523925781...

embed

65764314_c2

65764314

scala

2

my_image, Error, Building, FINISHED, docker.io, sha256:f362b165b870ef129cbe730f29065ff37399c0aa8bcab3e44b51c302938c9193, CACHED, sha256:f9b47f877daa755c569a34bac4b24d6f08b55746a5df24d605fe9878ab124822

[ -0.005828857421875, -0.003173828125, 0.007232666015625, 0.006988525390625, -0.0019989013671875, 0.023681640625, 0.0029754638671875, -0.003509521484375, 0.0130615234375, 0.0439453125, 0.01708984375, 0.00921630859375, 0.01507568359375, 0.0024871826171875, -0.01348876953125, 0.00909423828...

[ 759, 454, 37926, 4, 212059, 104919, 67227, 79909, 17610, 54, 11050, 5, 846, 9638, 127892, 12, 420, 8659, 118913, 132067, 4240, 117595, 238, 372, 1197, 124916, 10945, 5046, 12465, 10991, 12183, 11591, 313, 37672, 13330, 182055, 85, 159353, 1...

[ 0.230224609375, 0.03936767578125, 0.287841796875, 0.009429931640625, 0.265625, 0.279052734375, 0.201416015625, 0.194580078125, 0.1973876953125, 0.1572265625, 0.301513671875, 0.0418701171875, 0.2318115234375, 0.1781005859375, 0.254150390625, 0.00933837890625, 0.04473876953125, 0.103...

embed

18183124_c0

18183124

scala

0

Title: Not a valid key: eclipsify Problem title: Not a valid key: eclipsify Tags: playframework-2.0, playframework, scala Problem: Not a valid key: eclipsify Code signals: Not, Expected, playframework-2.0

Not a valid key: eclipsify Not a valid key: eclipsify playframework-2.0 playframework scala Not Expected playframework-2.0 Not a valid key: eclipsify I'm trying out the todolist play framework application from their documentation. But when I try to create the eclipse project, using eclipsify command, I get this error W...

[ 0.01025390625, 0.017822265625, 0.0018768310546875, -0.007354736328125, -0.0048828125, -0.003936767578125, -0.0145263671875, -0.00086212158203125, 0.0020904541015625, 0.0185546875, 0.002197265625, -0.00714111328125, 0.00701904296875, 0.019775390625, -0.004730224609375, 0.0069580078125, ...

[ 11205, 10, 35604, 22799, 28, 106371, 7, 40383, 11301, 160328, 18244, 73011, 146232, 60075, 13, 31577, 1973, 6562, 170846, 38415, 209806, 9790, 28282, 184, 13452, 75101, 903, 18499, 5809, 44691 ]

[ 0.1253662109375, 0.06500244140625, 0.1873779296875, 0.1995849609375, 0.03485107421875, 0.20556640625, 0.09954833984375, 0.27197265625, 0.149169921875, 0.1258544921875, 0.09161376953125, 0.158447265625, 0.1636962890625, 0.0657958984375, 0.07757568359375, 0.03985595703125, 0.1130371093...

embed

77845158_c1

77845158

scala

1

0:40:PQ 2023-05-02 13:52:23:DE INTERNAL : 201 DESCRIPTION: 2023-04-11 15:19:10:FH 2023-04-30 21:20:26:LM 2023-05-02 13:52:23:OP 101 301 INTERNAL : 301 DESCRIPTION: 2023-05-02 11:52:23:YQ Code signals: Group

[ 0.0198974609375, 0.004364013671875, -0.01336669921875, 0.01409912109375, -0.0018310546875, 0.006103515625, -0.00579833984375, -0.00023174285888671875, 0.031982421875, 0.036865234375, -0.01190185546875, -0.000476837158203125, 0.01263427734375, 0.0255126953125, -0.018798828125, 0.0114135...

[ 757, 22932, 12, 683, 2737, 140429, 52288, 9550, 702, 33915, 24864, 8399, 59692, 147784, 152, 76621, 51552, 441, 132824, 35213, 40866, 1662, 423, 23988, 15110, 919, 841, 1197, 952, 28194, 37150, 20880, 21027, 134625, 534, 1723, 28864, 26073, ...

[ 0.13671875, 0.2213134765625, 0.079345703125, 0.11639404296875, 0.23388671875, 0.21337890625, 0.155517578125, 0.1307373046875, 0.087646484375, 0.14208984375, 0.1417236328125, 0.259521484375, 0.171630859375, 0.1590576171875, 0.042724609375, 0.2373046875, 0.11773681640625, 0.096984863...

embed

50536593_c0

50536593

scala

0

Title: Get all key combinations from nested maps Problem title: Get all key combinations from nested maps Tags: scala Problem: Get all key combinations from nested maps Code signals: nested, Get, Map, Seq, List

Get all key combinations from nested maps Get all key combinations from nested maps scala nested Get Map Seq List Get all key combinations from nested maps I have a nested map like so: I want the desired output to show every possible combination of the integers in the Seqs. For example: I have been trying different com...

[ 0.000820159912109375, 0.022705078125, -0.01312255859375, -0.0208740234375, 0.01055908203125, 0.004486083984375, 0.00127410888671875, -0.01263427734375, -0.0030517578125, -0.00823974609375, -0.00182342529296875, -0.01080322265625, 0.0211181640625, 0.04833984375, -0.00958251953125, -0.00...

[ 20779, 756, 22799, 162515, 7, 1295, 8512, 71, 22288, 146232, 42719, 503, 864, 32036, 3444, 104851, 140992, 7639, 11907, 7722, 892, 26255, 31577, 12921, 49878, 166179, 33720, 20697, 25647 ]

[ 0.103271484375, 0.125244140625, 0.174072265625, 0.256103515625, 0.09136962890625, 0.086669921875, 0.215087890625, 0.1085205078125, 0.174560546875, 0.171630859375, 0.1358642578125, 0.073974609375, 0.154052734375, 0.1505126953125, 0.043121337890625, 0.0513916015625, 0.1103515625, 0.0...

embed

64334447_c0

64334447

scala

0

Title: Loops in scala between rows Problem title: Loops in scala between rows Tags: date, scala, iso8601 Problem: Loops in scala between rows Code signals: Loops, NonWorkingDays, Seq, Starts, End, Resta, iso8601

Loops in scala between rows Loops in scala between rows date scala iso8601 Loops NonWorkingDays Seq Starts End Resta iso8601 Loops in scala between rows I have something like this : df : how can I do a loop between Starts > End ? I mean something like :

[ 0.0155029296875, 0.00110626220703125, -0.00750732421875, 0.04248046875, -0.0059814453125, -0.0196533203125, 0.00909423828125, 0.0159912109375, -0.00128936767578125, 0.006622314453125, -0.00038909912109375, 0.000396728515625, -0.0059814453125, 0.0181884765625, 0.00091552734375, -0.01495...

[ 199694, 7, 23, 146232, 17721, 15555, 5622, 13882, 15276, 6746, 3775, 108259, 214, 97141, 503, 864, 13794, 18878, 853, 590, 1884, 420, 3642, 831, 54, 40956, 977 ]

[ 0.2362060546875, 0.0670166015625, 0.07122802734375, 0.2236328125, 0.1907958984375, 0.1904296875, 0.097900390625, 0.0428466796875, 0.08270263671875, 0.0943603515625, 0.0885009765625, 0.1002197265625, 0.01165771484375, 0.10009765625, 0.032745361328125, 0.111328125, 0.1917724609375, 0...

embed

27462460_c0

27462460

scala

0

Title: Scala and Set parametrized type by Int Problem title: Scala and Set parametrized type by Int Tags: scala, scala-collections Problem: Scala and Set parametrized type by Int Code signals: Scala, Set, Boolean

Scala and Set parametrized type by Int Scala and Set parametrized type by Int scala scala-collections Scala Set Boolean Scala and Set parametrized type by Int I am working on some function which take an element and return singleton class with this element, as shown below: but scala REPL signalize such problem: I have t...

[ 0.00628662109375, 0.0020294189453125, 0.0225830078125, -0.00116729736328125, -0.01287841796875, 0.0089111328125, -0.0103759765625, -0.0004787445068359375, -0.00640869140625, 0.040771484375, -0.004730224609375, -0.003021240234375, -0.0079345703125, -0.00201416015625, 0.0091552734375, -0...

[ 152653, 11, 136, 19943, 39850, 29367, 10644, 390, 360, 18, 146232, 196352, 73783, 34677, 20697, 32354, 5646, 12830, 30646, 11001, 1507, 18507, 678, 9069, 21130, 26073, 2967, 15190, 237, 4358, 17819, 121742, 17368, 34513, 91977, 21373, 18499 ]

[ 0.203125, 0.13623046875, 0.1002197265625, 0.2271728515625, 0.20166015625, 0.0467529296875, 0.1910400390625, 0.05242919921875, 0.1383056640625, 0.1634521484375, 0.206298828125, 0.1240234375, 0.045989990234375, 0.1612548828125, 0.042999267578125, 0.08685302734375, 0.0389404296875, 0....

embed

40892081_c0

40892081

scala

0

Title: Scala-like Flatten from command line Problem title: Scala-like Flatten from command line Tags: sed, scala, linux, awk Problem: Scala-like Flatten from command line Code signals: command, Scala-like, Flatten

Scala-like Flatten from command line Scala-like Flatten from command line sed scala linux awk command Scala-like Flatten Scala-like Flatten from command line Given a file like this: Is it possible to produce this from command line:

[ 0.01116943359375, 0.00592041015625, -0.017822265625, 0.021484375, 0.00628662109375, -0.00970458984375, 0.03369140625, -0.0022125244140625, -0.00457763671875, -0.0004558563232421875, -0.01483154296875, 0.00689697265625, 0.0040283203125, 0.00537109375, -0.01495361328125, -0.0134887695312...

[ 152653, 11, 5062, 106516, 510, 1295, 75101, 13315, 1736, 146232, 11508, 6077, 434, 92, 77878, 11435, 1884, 903, 2071, 442, 7722, 27489 ]

[ 0.19775390625, 0.127197265625, 0.18408203125, 0.2177734375, 0.2012939453125, 0.1319580078125, 0.1854248046875, 0.1669921875, 0.1737060546875, 0.218994140625, 0.0521240234375, 0.034912109375, 0.0736083984375, 0.095703125, 0.02142333984375, 0.1585693359375, 0.08416748046875, 0.100280...

embed

68483002_c0

68483002

scala

0

Title: Save Spark Dataframe into JSON Problem title: Save Spark Dataframe into JSON Tags: apache-spark, scala, json Problem: Save Spark Dataframe into JSON Code signals: Save, Spark, Dataframe, JSON, df.write.json

Save Spark Dataframe into JSON Save Spark Dataframe into JSON apache-spark scala json Save Spark Dataframe JSON df.write.json Save Spark Dataframe into JSON I have a data frame and I want to save in json. My data frame contains a json column. When I save the data frame into json it saves as string field instead of json...

[ 0.01068115234375, 0.023193359375, 0.0166015625, 0.027587890625, -0.00616455078125, 0.00164031982421875, 0.0018157958984375, 0.0196533203125, 0.0101318359375, 0.0098876953125, -0.01318359375, 0.019287109375, -0.01153564453125, -0.01043701171875, 0.025634765625, 0.010986328125, 0.00921...

[ 64944, 152810, 11809, 160328, 3934, 821, 58627, 2241, 1430, 7, 10237, 146232, 1647, 1681, 420, 434, 18781, 170, 2053, 123789, 3444, 30098, 70541, 3365, 316, 19, 237, 79315, 44457, 64457, 111, 131999, 11389, 787, 151152, 46876, 128405, 35064, ...

[ 0.1307373046875, 0.2666015625, 0.1156005859375, 0.271728515625, 0.1380615234375, 0.1275634765625, 0.2100830078125, 0.05023193359375, 0.103759765625, 0.00927734375, 0.1947021484375, 0.189453125, 0.113037109375, 0.177978515625, 0.09893798828125, 0.0238800048828125, 0.1259765625, 0.10...

embed

67487369_c0

67487369

scala

0

Title: Scala (Spark) .txt to .csv Problem title: Scala (Spark) .txt to .csv Tags: apache-spark, csv, scala, txt Problem: Scala (Spark) .txt to .csv Code signals: Scala, Spark, Number, Date, Time, Nns, Ans, Nwe, Awe

Scala (Spark) .txt to .csv Scala (Spark) .txt to .csv apache-spark csv scala txt Scala Spark Number Date Time Nns Ans Nwe Awe Scala (Spark) .txt to .csv I've got both .txt an d .dat files with structure: I can't translate it to .csv by using Spark/Scala . doesn't work! Please help. Here s file - https://github.com/Cvit...

[ 0.00555419921875, -0.019775390625, 0.01953125, 0.03125, 0.018798828125, -0.0081787109375, -0.00311279296875, 0.0166015625, -0.003662109375, 0.00921630859375, -0.0274658203125, -0.0115966796875, -0.01116943359375, -0.00408935546875, -0.0111083984375, -0.01708984375, -0.004913330078125...

[ 152653, 11, 294, 10237, 5, 124326, 47, 4439, 334, 2241, 1430, 7, 20763, 146232, 152810, 103332, 25512, 19055, 1779, 893, 1177, 15044, 104, 5164, 102158, 45646, 831, 18, 3900, 19309, 442, 17368, 64, 62309, 4488, 4358, 11435, 32102, 87287, ...

[ 0.26123046875, 0.1837158203125, 0.0703125, 0.1956787109375, 0.039794921875, 0.2388916015625, 0.1212158203125, 0.116455078125, 0.241455078125, 0.057159423828125, 0.0711669921875, 0.0190277099609375, 0.0631103515625, 0.250244140625, 0.256103515625, 0.126953125, 0.06982421875, 0.09362...

embed

27576943_c0

27576943

scala

0

Title: Folding a list of tuples using Scala Problem title: Folding a list of tuples using Scala Tags: scala Problem: Folding a list of tuples using Scala Code signals: Scala, Folding, List, l.fold, tup._2, List.fold

Folding a list of tuples using Scala Folding a list of tuples using Scala scala Scala Folding List l.fold tup._2 List.fold Folding a list of tuples using Scala What's wrong with this simple scala code? In other functional languages (e.g., f#) this works:

[ 0.01513671875, -0.0014801025390625, 0.00506591796875, 0.0029754638671875, -0.007568359375, -0.005096435546875, -0.01806640625, -0.0135498046875, 0.0198974609375, 0.000308990478515625, 0.005859375, -0.0234375, -0.00738525390625, 0.022216796875, 0.0040283203125, -0.0091552734375, -0.00...

[ 30077, 6238, 5303, 370, 99726, 17368, 152653, 11, 10, 111, 146232, 32036, 96, 42822, 254, 304, 44691, 678, 903, 8781, 18151, 3789, 123309, 46876, 1238, 4904, 43240 ]

[ 0.1812744140625, 0.1046142578125, 0.1697998046875, 0.1319580078125, 0.2103271484375, 0.0855712890625, 0.2178955078125, 0.1549072265625, 0.01556396484375, 0.04010009765625, 0.21923828125, 0.15869140625, 0.055084228515625, 0.1845703125, 0.05487060546875, 0.076416015625, 0.14599609375, ...

embed

60223860_c0

60223860

scala

0

Title: sbt unable to create jar for scala version 2.11.12 Problem title: sbt unable to create jar for scala version 2.11.12 Tags: intellij-idea, sbt, scala Problem: sbt unable to create jar for scala version 2.11.12

sbt unable to create jar for scala version 2.11.12 sbt unable to create jar for scala version 2.11.12 intellij-idea sbt scala sbt unable to create jar for scala version 2.11.12 I am trying to create .jar file for simple hello world project using scala in intellij IDE (2019.3.2 community edition) with sbt build tool (ve...

[ -0.004974365234375, 0.00457763671875, -0.01483154296875, -0.00701904296875, -0.01611328125, 0.004364013671875, -0.010498046875, -0.00537109375, -0.01434326171875, 0.0517578125, -0.00958251953125, -0.018310546875, 0.004852294921875, -0.0225830078125, 0.0157470703125, -0.01953125, 0.00...

[ 91, 16723, 51, 2886, 47, 28282, 35125, 100, 146232, 11389, 116, 14556, 1530, 33049, 170, 30610, 31577, 5, 3403, 11435, 8781, 33600, 31, 8999, 13452, 23, 36497, 32196, 107033, 26908, 79737, 45367, 55516, 46354, 135527, 34513, 97109, 151134, ...

[ 0.10107421875, 0.213623046875, 0.030670166015625, 0.1353759765625, 0.01068115234375, 0.1728515625, 0.237060546875, 0.0246734619140625, 0.25390625, 0.1094970703125, 0.0645751953125, 0.1806640625, 0.1759033203125, 0.141845703125, 0.1337890625, 0.14599609375, 0.04119873046875, 0.00659...

embed

49811423_c1

49811423

scala

1

0 , (2018-01-07T04:04:00 : 2018-01-07T04:06:00) , 25.5, 55.5 1 , (2018-01-07T04:04:00 : 2018-01-07T04:06:00) , 26.5, 50.5 Code signals: Dataframe, Aggregation, DateTime, Latitude, Longitude, DF.groupBy, OtherThings

[ 0.022216796875, -0.0111083984375, -0.0123291015625, 0.0172119140625, -0.00555419921875, -0.0260009765625, 0.02490234375, -0.00830078125, 0.037109375, -0.018310546875, -0.012451171875, -0.02001953125, 0.005615234375, -0.00238037109375, -0.02490234375, 0.01177978515625, 0.0038146972656...

[ 757, 6, 4, 15, 1742, 45669, 8368, 7709, 33296, 6632, 152, 267, 33170, 16, 11653, 758, 190, 148462, 106, 12490, 93645, 28864, 26073, 7, 12, 11809, 160328, 12342, 68722, 2320, 25512, 70059, 239, 35810, 14407, 21753, 13, 98411, 5, 51588, 7...

[ 0.195556640625, 0.0762939453125, 0.096923828125, 0.0516357421875, 0.181396484375, 0.1295166015625, 0.1259765625, 0.0771484375, 0.1051025390625, 0.041748046875, 0.0836181640625, 0.17529296875, 0.06756591796875, 0.07891845703125, 0.2529296875, 0.2081298828125, 0.1474609375, 0.2391357...

embed

34649761_c0

34649761

scala

0

Title: Break tuple in RDD to two tuples Problem title: Break tuple in RDD to two tuples Tags: iterable, apache-spark, rdd, scala Problem: Break tuple in RDD to two tuples Code signals: Break, RDD, Iterable, Coordinate

Break tuple in RDD to two tuples Break tuple in RDD to two tuples iterable apache-spark rdd scala Break RDD Iterable Coordinate Break tuple in RDD to two tuples I have an RDD[(String, (Iterable[Int], Iterable[Coordinate]))] What I would like to do, is to break the Iterable[Int] to tuples, that each one will be like (St...

[ 0.00714111328125, -0.017822265625, -0.0245361328125, 0.0206298828125, 0.00028228759765625, 0.005859375, 0.0123291015625, 0.01544189453125, 0.00157928466796875, 0.0162353515625, 0.01300048828125, -0.009033203125, -0.00830078125, 0.013427734375, 0.001373291015625, 0.0159912109375, 0.01...

[ 131904, 370, 8705, 23, 627, 24057, 47, 6626, 99726, 17, 720, 2886, 2241, 1430, 10237, 1690, 4028, 146232, 87, 1311, 43297, 71713, 214, 568, 18, 1884, 36356, 4153, 12638, 1632, 10625, 27781, 27198, 11249, 16940, 83, 152653, 11 ]

[ 0.1826171875, 0.15673828125, 0.2081298828125, 0.0634765625, 0.10638427734375, 0.2423095703125, 0.1318359375, 0.1685791015625, 0.2259521484375, 0.006866455078125, 0.1805419921875, 0.1844482421875, 0.08416748046875, 0.0703125, 0.155517578125, 0.07666015625, 0.185302734375, 0.22058105...

embed

21866096_c0

21866096

scala

0

Title: Making a Contravariant Object Problem title: Making a Contravariant Object Tags: contravariance, scala Problem: Making a Contravariant Object Code signals: Making, Contravariant, Object, ContraObj, ContraObj.scala:4

Making a Contravariant Object Making a Contravariant Object contravariance scala Making Contravariant Object ContraObj ContraObj.scala:4 Making a Contravariant Object I'm trying to create a class that's contravariant: But the following compile-time error occurs: How can I resolve this error?

[ 0.017333984375, -0.005218505859375, -0.01409912109375, 0.006866455078125, 0.009033203125, -0.025390625, -0.0166015625, 0.0277099609375, -0.0014495849609375, 0.002471923828125, -0.01116943359375, -0.03173828125, 0.02978515625, 0.020751953125, -0.00592041015625, -0.013671875, -0.001022...

[ 13676, 214, 45380, 162591, 134549, 10, 2304, 21690, 7154, 146232, 46471, 170, 62309, 617, 31577, 28282, 18507, 7, 4966, 70, 25632, 9969, 1340, 6032, 18499, 74918, 831, 103608, 903 ]

[ 0.10498046875, 0.06634521484375, 0.2398681640625, 0.27099609375, 0.205078125, 0.024993896484375, 0.2288818359375, 0.2039794921875, 0.039581298828125, 0.1488037109375, 0.151123046875, 0.1517333984375, 0.1434326171875, 0.1409912109375, 0.0841064453125, 0.130615234375, 0.2044677734375, ...

embed

24194998_c0

24194998

scala

0

Title: Scala generics not clear to me Problem title: Scala generics not clear to me Tags: generics, scala Problem: Scala generics not clear to me class A { def x(): Unit = { println("tftf") } } Code signals: Scala, Unit, x.x

Scala generics not clear to me Scala generics not clear to me generics scala Scala Unit x.x Scala generics not clear to me I get compile error - type mismatch; found : x.type (with underlying type A) required: ?{def x: ?} Note that implicit conversions are not applicable because they are ambiguous: both method any2Ensu...

[ 0.0179443359375, 0.024169921875, 0.018798828125, -0.01226806640625, -0.002471923828125, -0.0206298828125, 0.00994873046875, -0.009521484375, 0.0177001953125, 0.0186767578125, -0.018798828125, -0.022705078125, 0.0146484375, 0.005340576171875, 0.0169677734375, -0.0228271484375, 0.01696...

[ 152653, 11, 189534, 7, 959, 34735, 47, 163, 146232, 46640, 1022, 425, 2046, 9969, 1340, 18499, 10644, 1239, 98753, 14037, 5, 50986, 76228, 1379, 538, 62, 56065, 705, 112, 420, 12, 165164, 142477, 152431, 920, 12282, 55300, 2499, 304, 7768...

[ 0.208984375, 0.12255859375, 0.2386474609375, 0.061553955078125, 0.113037109375, 0.199462890625, 0.119140625, 0.1170654296875, 0.2049560546875, 0.1297607421875, 0.1273193359375, 0.05511474609375, 0.011993408203125, 0.1317138671875, 0.167236328125, 0.1903076171875, 0.2056884765625, 0...

embed

40624050_c0

40624050

scala

0

Title: Groupby Array[Array[String]] Scala Problem title: Groupby Array[Array[String]] Scala Tags: arrays, dictionary, group-by, scala Problem: Groupby Array[Array[String]] Scala Code signals: Groupby, Array, Scala, A:Map, Map

Groupby Array[Array[String]] Scala Groupby Array[Array[String]] Scala arrays dictionary group-by scala Groupby Array Scala A:Map Map Groupby Array[Array[String]] Scala I have an Array[Array[String]] like this: I would like to groupby on the first element of each sub Array and get a Map like this: I don't know how to ma...

[ 0.027099609375, 0.005767822265625, -0.01104736328125, 0.0150146484375, -0.0157470703125, -0.01373291015625, 0.0133056640625, 0.0072021484375, 0.017578125, 0.03466796875, -0.00701904296875, 0.01202392578125, 0.01507568359375, 0.0189208984375, -0.0179443359375, -0.01116943359375, -0.00...

[ 10760, 1272, 69253, 53, 7614, 7092, 71713, 214, 152653, 11, 10298, 4778, 45, 10763, 21115, 146232, 62, 166179, 42719, 765, 1884, 903, 2806, 47, 98, 5117, 12830, 12638, 1614, 2046, 3714, 3642, 45258, 67, 16750, 6528 ]

[ 0.194580078125, 0.233642578125, 0.174560546875, 0.121826171875, 0.053131103515625, 0.134765625, 0.115234375, 0.044952392578125, 0.16357421875, 0.09783935546875, 0.138671875, 0.07550048828125, 0.00830078125, 0.07733154296875, 0.212158203125, 0.2255859375, 0.07818603515625, 0.1427001...

embed

70006290_c0

70006290

scala

0

Title: Scala dataframe get last 6 months latest data Problem title: Scala dataframe get last 6 months latest data Tags: apache-spark, dataframe, scala Problem: Scala dataframe get last 6 months latest data Code signals: Scala

Scala dataframe get last 6 months latest data Scala dataframe get last 6 months latest data apache-spark dataframe scala Scala Scala dataframe get last 6 months latest data I have column in dataframe like below I need to filter the data based on this date and I want to get last 6 moths data only , could anyone please s...

[ 0.02978515625, 0.023193359375, 0.0003376007080078125, 0.0098876953125, 0.00701904296875, -0.0235595703125, -0.000583648681640625, -0.01348876953125, -0.0096435546875, -0.00012302398681640625, 0.0016326904296875, -0.0244140625, 0.006622314453125, -0.0247802734375, 0.017578125, 0.0121459...

[ 152653, 11, 2053, 160328, 2046, 4568, 305, 21775, 42850, 2241, 1430, 10237, 146232, 3365, 316, 19, 35064, 3871, 46312, 35509, 903, 5622, 3444, 47, 2080, 127, 7, 4734, 42459 ]

[ 0.2061767578125, 0.13916015625, 0.1990966796875, 0.261962890625, 0.09600830078125, 0.1259765625, 0.1524658203125, 0.1827392578125, 0.1588134765625, 0.0823974609375, 0.07366943359375, 0.139892578125, 0.2138671875, 0.0755615234375, 0.0963134765625, 0.00341796875, 0.03912353515625, 0....

embed

22889083_c0

22889083

scala

0

Title: Type mismatch - what is returning Unit type? Problem title: Type mismatch - what is returning Unit type? Tags: scala Problem: Type mismatch - what is returning Unit type? Code signals: Type, Unit, Users, hello.scala:62

Type mismatch - what is returning Unit type? Type mismatch - what is returning Unit type? scala Type Unit Users hello.scala:62 Type mismatch - what is returning Unit type? I get an error like this. So, what is returning Unit type? Is it the "if" expression? I expect the program to print "0".

[ 0.0179443359375, 0.005828857421875, 0.01336669921875, -0.0028228759765625, -0.00390625, -0.011962890625, -0.0059814453125, 0.00408935546875, 0.030029296875, 0.00408935546875, -0.0218505859375, -0.012451171875, 0.00848388671875, -0.0067138671875, 0.017578125, 0.0038604736328125, 0.021...

[ 60457, 1239, 98753, 20, 2367, 83, 30646, 214, 46640, 10644, 32, 146232, 53400, 33600, 31, 7, 62309, 10837, 18499, 1884, 903, 2071, 442, 3190, 125195, 41206, 1528, 28412, 2389 ]

[ 0.2454833984375, 0.1737060546875, 0.305908203125, 0.010467529296875, 0.095947265625, 0.095947265625, 0.1832275390625, 0.0938720703125, 0.2362060546875, 0.2373046875, 0.01129150390625, 0.183349609375, 0.08544921875, 0.0361328125, 0.0252532958984375, 0.027313232421875, 0.176025390625, ...

embed

19887917_c0

19887917

scala

0

Title: sbt stage : not a valid command Problem title: sbt stage : not a valid command Tags: scala, heroku, sbt Problem: sbt stage : not a valid command Code signals: /.../activator-akka-spray/project, Loading, Set, Not, Expected

sbt stage : not a valid command sbt stage : not a valid command scala heroku sbt /.../activator-akka-spray/project Loading Set Not Expected sbt stage : not a valid command I am trying to follow the tutorial for scala and spray with this great template : http://typesafe.com/activator/template/activator-akka-spray Then I...

[ -0.0020599365234375, 0.0244140625, -0.00726318359375, 0.01409912109375, -0.01495361328125, 0.0107421875, 0.002349853515625, -0.006195068359375, -0.002899169921875, 0.0400390625, -0.01141357421875, -0.01007080078125, 0.0027008056640625, 0.0130615234375, -0.004486083984375, -0.0129394531...

[ 91, 16723, 36541, 959, 10, 35604, 75101, 146232, 40814, 319, 111438, 1290, 344, 161, 198552, 95322, 228006, 19943, 11205, 60075, 13, 31577, 28960, 57143, 91718, 6782, 110934, 50986, 115840, 2982, 92558, 188336, 56889, 8, 13158, 53, 18548, 908...

[ 0.10107421875, 0.234375, 0.234375, 0.1553955078125, 0.076904296875, 0.203125, 0.2509765625, 0.2431640625, 0.125, 0.1727294921875, 0.1416015625, 0.085205078125, 0.06298828125, 0.1282958984375, 0.200439453125, 0.09161376953125, 0.2149658203125, 0.148193359375, 0.087646484375, 0.0...

embed

63441361_c0

63441361

scala

0

Title: Fill the data based on the date ranges in spark Problem title: Fill the data based on the date ranges in spark Tags: scala, pyspark, apache-spark Problem: Fill the data based on the date ranges in spark Code signals: Fill

Fill the data based on the date ranges in spark Fill the data based on the date ranges in spark scala pyspark apache-spark Fill Fill the data based on the date ranges in spark I have sample dataset, I want to fill the dates with 0 based on start date and end date (from 2016-01-01 to 2016-01-08). Based on the solution f...

[ 0.004791259765625, 0.00592041015625, -0.021484375, 0.02978515625, -0.0240478515625, -0.01080322265625, 0.021484375, 0.0057373046875, 0.00390625, 0.037109375, -0.01544189453125, -0.01434326171875, 0.013671875, 0.0074462890625, 0.006591796875, -0.004638671875, 0.00244140625, 0.001739...

[ 140423, 70, 2053, 35509, 98, 5622, 37457, 7, 23, 131999, 146232, 57756, 10237, 2241, 1430, 121413, 3509, 3444, 26292, 112474, 678, 757, 4034, 136, 3564, 161063, 780, 45669, 6746, 47, 109168, 29806, 29479, 2878, 214, 132283, 160328, 3365, 31...

[ 0.22802734375, 0.02978515625, 0.1854248046875, 0.1468505859375, 0.05010986328125, 0.15185546875, 0.199462890625, 0.031951904296875, 0.05560302734375, 0.278076171875, 0.1953125, 0.0670166015625, 0.2225341796875, 0.0977783203125, 0.0853271484375, 0.14404296875, 0.10791015625, 0.03417...

embed

61273078_c0

61273078

scala

0

Title: List type mismatch when appending in Scala Problem title: List type mismatch when appending in Scala Tags: scala-collections, scala Problem: List type mismatch when appending in Scala Code signals: List, Scala, xs.appended

List type mismatch when appending in Scala List type mismatch when appending in Scala scala-collections scala List Scala xs.appended List type mismatch when appending in Scala Let's say I have following code: The last line does not compile with an error: If I remove the explicit type declaration, then the code compiles...

[ 0.010009765625, 0.00537109375, 0.01171875, -0.023193359375, 0.0001888275146484375, -0.00634765625, -0.01220703125, 0.00958251953125, 0.0296630859375, 0.0341796875, 0.0096435546875, -0.0216064453125, -0.0017852783203125, -0.0111083984375, 0.00885009765625, -0.01123046875, 0.0162353515...

[ 32036, 10644, 1239, 98753, 1747, 96819, 152653, 11, 146232, 196352, 1022, 9007, 2285, 25632, 18151, 4568, 13315, 959, 9969, 1340, 18499, 87388, 143726, 21635, 2773, 2967, 26008, 195625, 32354, 27875, 114689, 48141, 5303, 171859, 18, 49146, 3582...

[ 0.1783447265625, 0.1971435546875, 0.106201171875, 0.243896484375, 0.07965087890625, 0.10888671875, 0.169189453125, 0.08758544921875, 0.1737060546875, 0.0989990234375, 0.043182373046875, 0.035125732421875, 0.0745849609375, 0.0171356201171875, 0.121826171875, 0.078369140625, 0.06591796...

embed

42424322_c0

42424322

scala

0

Title: Converting matrix to array row by row in Breeze Problem title: Converting matrix to array row by row in Breeze Tags: scala, scala-breeze Problem: Converting matrix to array row by row in Breeze Code signals: Converting, Breeze

Converting matrix to array row by row in Breeze Converting matrix to array row by row in Breeze scala scala-breeze Converting Breeze Converting matrix to array row by row in Breeze Trying to convert a DenseMatrix to an array row by row. Method .toArray does it column by column. Should be [-0.04202212765812874, 0.001493...

[ 0.0186767578125, 0.004852294921875, 0.0006866455078125, 0.007476806640625, 0.00121307373046875, 0.0033416748046875, -0.01055908203125, 0.00823974609375, -0.0022735595703125, 0.004547119140625, 0.0166015625, -0.01953125, -0.00250244140625, -0.01043701171875, 0.01202392578125, -0.0190429...

[ 1657, 814, 50944, 425, 47, 10298, 53, 15555, 390, 6499, 6659, 1916, 23, 146232, 4134, 40858, 96760, 1575, 184, 4613, 87427, 74644, 188, 7614, 7092, 14602, 3365, 316, 151117, 186, 23320, 7709, 151159, 192066, 81764, 16360, 37509, 111339, 311...

[ 0.023590087890625, 0.1263427734375, 0.2010498046875, 0.06634521484375, 0.066650390625, 0.1728515625, 0.1441650390625, 0.197998046875, 0.1182861328125, 0.18359375, 0.2347412109375, 0.0340576171875, 0.0186920166015625, 0.17041015625, 0.1328125, 0.0704345703125, 0.1534423828125, 0.181...

embed

54838047_c0

54838047

scala

0

Title: How to run sample Scala vertx project Problem title: How to run sample Scala vertx project Tags: scala, vert.x Problem: How to run sample Scala vertx project Code signals: How, Scala, vertx.deployVerticle, HttpVerticle, vert.x

How to run sample Scala vertx project How to run sample Scala vertx project scala vert.x How Scala vertx.deployVerticle HttpVerticle vert.x How to run sample Scala vertx project I started new project using sbt new vert-x3/vertx-scala.g8 command. In sbt console entered following command : vertx.deployVerticle(nameForVer...

[ 0.015869140625, 0.01263427734375, 0.0030670166015625, 0.0233154296875, -0.00830078125, -0.01312255859375, 0.0037994384765625, -0.004425048828125, -0.01361083984375, -0.0177001953125, 0.0240478515625, -0.006103515625, 0.01348876953125, 0.0093994140625, 0.0093994140625, -0.00543212890625...

[ 11249, 47, 11675, 121413, 152653, 11, 24732, 425, 13452, 146232, 112, 13158, 15896, 9523, 133, 3062, 26859, 3525, 16723, 40061, 11549, 7, 62309, 1019, 75101, 91, 130250, 30957, 25632, 53, 11627, 18537, 18499, 113771, 98441, 58735, 15769, 3210...

[ 0.06585693359375, 0.0506591796875, 0.1959228515625, 0.288330078125, 0.1883544921875, 0.142822265625, 0.240478515625, 0.177978515625, 0.175048828125, 0.2066650390625, 0.050628662109375, 0.133544921875, 0.142578125, 0.132080078125, 0.06427001953125, 0.06890869140625, 0.05487060546875, ...

embed

62753778_c0

62753778

scala

0

Title: Exploding column of JSON array Problem title: Exploding column of JSON array Tags: apache-spark-sql, scala, apache-spark Problem: Exploding column of JSON array Code signals: Exploding, JSON, _name, BankAccount, _value, Balance

Exploding column of JSON array Exploding column of JSON array apache-spark-sql scala apache-spark Exploding JSON _name BankAccount _value Balance Exploding column of JSON array I'm struggling with an issue of exploding a json array column with Spark. I have a dataframe that looks like: and I want it to be as Of course ...

[ 0.01409912109375, -0.004241943359375, -0.037109375, 0.04541015625, -0.0263671875, -0.004486083984375, -0.0020294189453125, 0.01025390625, 0.0162353515625, 0.038330078125, -0.00185394287109375, 0.007476806640625, -0.00543212890625, -0.0086669921875, -0.00933837890625, -0.0072021484375, ...

[ 98873, 6238, 3365, 316, 19, 111, 821, 58627, 10298, 53, 2241, 1430, 10237, 7, 99247, 146232, 11627, 4932, 39450, 71013, 27494, 131176, 237875, 31089, 24649, 1647, 1681, 678, 152810, 2053, 160328, 33342, 1884, 3444, 186, 237, 442, 959, 6183,...

[ 0.224365234375, 0.09588623046875, 0.1451416015625, 0.1796875, 0.0721435546875, 0.06671142578125, 0.1273193359375, 0.2225341796875, 0.1732177734375, 0.107421875, 0.07049560546875, 0.0924072265625, 0.15234375, 0.0101318359375, 0.148681640625, 0.15771484375, 0.09332275390625, 0.109375...

embed

51455488_c0

51455488

scala

0

Title: binary tree creation in SCALA Problem title: binary tree creation in SCALA Tags: tree, binary, scala Problem: binary tree creation in SCALA Code signals: SCALA, list:List, BinTree, Nil, Leaf, xs.length, Branch, xs.take, xs.drop

binary tree creation in SCALA binary tree creation in SCALA tree binary scala SCALA list:List BinTree Nil Leaf xs.length Branch xs.take xs.drop binary tree creation in SCALA but its saying :- error: not found: type BinTree :-error: not found: value Branch :-error: not found: value Leaf

[ 0.009521484375, 0.0234375, 0.00125885009765625, -0.009521484375, 0.0145263671875, 0.00537109375, -0.01300048828125, -0.0306396484375, 0.0400390625, -0.009765625, -0.033935546875, -0.017822265625, 0.018310546875, -0.0096435546875, -0.00115203857421875, 0.005828857421875, 0.01965332031...

[ 2394, 6635, 53201, 166635, 17715, 19696, 23, 146232, 5303, 154663, 16666, 62731, 77175, 636, 2407, 1022, 23986, 21110, 206, 78219, 7, 138810, 6863, 54433, 18499, 959, 14037, 10644, 13, 188800, 34292 ]

[ 0.1798095703125, 0.08245849609375, 0.2288818359375, 0.146728515625, 0.1376953125, 0.2227783203125, 0.012969970703125, 0.2353515625, 0.1171875, 0.0931396484375, 0.16064453125, 0.273681640625, 0.1759033203125, 0.054107666015625, 0.167236328125, 0.05877685546875, 0.0648193359375, 0.14...

embed

40411608_c0

40411608

scala

0

Title: Reduce Key with Ordered List of Values Problem title: Reduce Key with Ordered List of Values Tags: scala, apache-spark Problem: Reduce Key with Ordered List of Values Code signals: Reduce, Key, Ordered, List, Values, Value, Date

Reduce Key with Ordered List of Values Reduce Key with Ordered List of Values scala apache-spark Reduce Key Ordered List Values Value Date Reduce Key with Ordered List of Values I have the following RDD: And I would like to transform it to the following RDD: Which is Key, List(Value) -- where the list of Values is orde...

[ 0.01556396484375, -0.0191650390625, -0.01495361328125, 0.00244140625, -0.00177001953125, -0.007415771484375, 0.00119781494140625, -0.01031494140625, 0.0008392333984375, 0.030517578125, 0.005340576171875, -0.003326416015625, 0.0166015625, -0.0172119140625, -0.015380859375, -0.0050048828...

[ 853, 106357, 26824, 678, 81206, 297, 32036, 111, 190060, 146232, 2241, 1430, 10237, 25512, 25632, 627, 24057, 1884, 47, 27198, 132, 856, 50770, 5303, 12989, 390, 42518, 112474, 3164, 22799, 36998, 756, 142424, 2806, 7464, 163846 ]

[ 0.160400390625, 0.2081298828125, 0.2279052734375, 0.087646484375, 0.201904296875, 0.095703125, 0.1776123046875, 0.040771484375, 0.197509765625, 0.1593017578125, 0.07965087890625, 0.0872802734375, 0.1607666015625, 0.120361328125, 0.056243896484375, 0.06781005859375, 0.19775390625, 0...

embed

44678411_c0

44678411

scala

0

Title: How to change order of string value in column Problem title: How to change order of string value in column Tags: scala, apache-spark, apache-spark-sql Problem: How to change order of string value in column Code signals: How, Loc

How to change order of string value in column How to change order of string value in column scala apache-spark apache-spark-sql How Loc How to change order of string value in column how to use a scala udf to change the order of a string i want to convert it like this order [3,1,5,7,6,(8-16),4,2]

[ 0.0203857421875, -0.01177978515625, -0.0233154296875, 0.0240478515625, 0.007354736328125, 0.002105712890625, 0.0089111328125, -0.03369140625, -0.0167236328125, 0.049560546875, 0.000141143798828125, -0.004547119140625, -0.0028228759765625, -0.003692626953125, 0.003143310546875, -0.00604...

[ 11249, 47, 15549, 12989, 111, 79315, 34292, 23, 3365, 316, 19, 146232, 2241, 1430, 10237, 99247, 88784, 4527, 1872, 420, 70, 3444, 96760, 1884, 903, 122101, 57626, 168628, 1019, 13528, 617, 90173 ]

[ 0.0760498046875, 0.079833984375, 0.205078125, 0.221435546875, 0.1002197265625, 0.2484130859375, 0.1650390625, 0.031005859375, 0.1490478515625, 0.168701171875, 0.00408935546875, 0.210693359375, 0.04107666015625, 0.06268310546875, 0.145263671875, 0.1685791015625, 0.143798828125, 0.04...

embed

44988841_c0

44988841

scala

0

Title: Force tableswitch instead of lookupswitch Problem title: Force tableswitch instead of lookupswitch Tags: java, switch-statement, jvm, scala, pattern-matching Problem: Force tableswitch instead of lookupswitch Code signals: Force

Force tableswitch instead of lookupswitch Force tableswitch instead of lookupswitch java switch-statement jvm scala pattern-matching Force Force tableswitch instead of lookupswitch Scala 2.11 compiles a match expression over a relatively dense Int range into a lookupswitch : Whereas Java 7 compiles the equivalent switc...

[ 0.0018157958984375, 0.00112152099609375, -0.00133514404296875, -0.004913330078125, -0.00592041015625, -0.03173828125, 0.004302978515625, 0.01141357421875, -0.0084228515625, 0.023193359375, 0.01544189453125, 0.0302734375, -0.0206298828125, 0.0084228515625, 0.001708984375, 0.012390136718...

[ 59591, 23180, 131519, 64457, 6713, 74854, 79, 330, 101089, 61340, 1647, 334, 39, 146232, 103510, 98753, 152653, 11, 787, 1662, 9969, 1340, 14858, 125195, 645, 35845, 168, 360, 18, 37457, 3934, 41925, 361, 183234, 63805, 3917, 37772, 12663 ]

[ 0.1964111328125, 0.2308349609375, 0.219970703125, 0.10394287109375, 0.10986328125, 0.08905029296875, 0.0877685546875, 0.1522216796875, 0.1883544921875, 0.1387939453125, 0.019378662109375, 0.0684814453125, 0.082763671875, 0.2093505859375, 0.176513671875, 0.1600341796875, 0.20349121093...

embed

53851118_c0

53851118

scala

0

Title: sparkSQL dataframe how to split to some column Problem title: sparkSQL dataframe how to split to some column Tags: scala, apache-spark, apache-spark-sql, apache-spark-mllib Problem: sparkSQL dataframe how to split to some column

sparkSQL dataframe how to split to some column sparkSQL dataframe how to split to some column scala apache-spark apache-spark-sql apache-spark-mllib sparkSQL dataframe how to split to some column as follow the "probability" type is how split the probability into 2 column thanks

[ 0.01129150390625, -0.0267333984375, -0.02392578125, 0.040283203125, -0.013427734375, -0.0189208984375, 0.0135498046875, -0.0031585693359375, -0.0096435546875, 0.0252685546875, 0.00299072265625, -0.0257568359375, -0.00982666015625, -0.000518798828125, -0.01495361328125, -0.0164794921875...

[ 131999, 158897, 2053, 160328, 3642, 47, 65450, 3060, 3365, 316, 146232, 2241, 1430, 10237, 99247, 5612, 19, 28960, 70, 79122, 41159, 10644, 37242, 2481, 3934, 116 ]

[ 0.22119140625, 0.26025390625, 0.0867919921875, 0.2095947265625, 0.03985595703125, 0.1671142578125, 0.2198486328125, 0.0838623046875, 0.1781005859375, 0.185546875, 0.1697998046875, 0.050323486328125, 0.051177978515625, 0.161376953125, 0.154541015625, 0.114990234375, 0.021697998046875,...

embed

14578662_c0

14578662

scala

0

Title: Type mismatch with map and flatMap Problem title: Type mismatch with map and flatMap Tags: dictionary, scala, types Problem: Type mismatch with map and flatMap Code signals: Type, List, Some, None, res0, Option, res0.flatMap, res9

Type mismatch with map and flatMap Type mismatch with map and flatMap dictionary scala types Type List Some None res0 Option res0.flatMap res9 Type mismatch with map and flatMap While trying to play with Options in scala I have come across this peculiar problem. I started off with creating a List[Option[Int]] as follow...

[ 0.0218505859375, 0.006591796875, -0.018798828125, -0.01025390625, -0.0130615234375, -0.03369140625, 0.0020751953125, -0.004638671875, 0.018798828125, 0.013427734375, -0.0166015625, -0.00958251953125, 0.01422119140625, 0.0166015625, 0.006591796875, -0.0020751953125, 0.003997802734375,...

[ 60457, 1239, 98753, 678, 22288, 136, 49878, 166179, 10763, 146232, 52895, 32036, 438, 3332, 2389, 86769, 150632, 1126, 31577, 11301, 152448, 105482, 2967, 105233, 39029, 18, 37842, 66044, 47, 106, 645, 112820, 5303, 18499, 4613, 26783, 5701, ...

[ 0.1834716796875, 0.110595703125, 0.2425537109375, 0.0477294921875, 0.158447265625, 0.0169525146484375, 0.1939697265625, 0.1981201171875, 0.046783447265625, 0.1995849609375, 0.1688232421875, 0.1116943359375, 0.0239715576171875, 0.0811767578125, 0.1212158203125, 0.1832275390625, 0.1923...

embed

9680630_c0

9680630

scala

0

Title: Use context bound in type alias Problem title: Use context bound in type alias Tags: scala Problem: Use context bound in type alias Is it possible to use context bounds in type aliases in Scala? e.g type U = A : B Code signals: Use

Use context bound in type alias Use context bound in type alias scala Use Use context bound in type alias Is it possible to use context bounds in type aliases in Scala? e.g

[ -0.00183868408203125, -0.002960205078125, 0.012451171875, -0.00567626953125, -0.01080322265625, 0.004852294921875, -0.00787353515625, -0.002288818359375, -0.00946044921875, -0.00194549560546875, 0.0079345703125, -0.033935546875, 0.0252685546875, 0.0128173828125, 0.01104736328125, 0.004...

[ 36836, 43701, 99091, 23, 10644, 55109, 146232, 7722, 4527, 7, 90, 152653, 11 ]

[ 0.09100341796875, 0.2196044921875, 0.2091064453125, 0.01029205322265625, 0.1737060546875, 0.2354736328125, 0.2218017578125, 0.10992431640625, 0.1021728515625, 0.03411865234375, 0.07574462890625, 0.200927734375, 0.1556396484375 ]

embed

60950611_c0

60950611

scala

0

Title: Spark add same row number based on value in cell Problem title: Spark add same row number based on value in cell Tags: scala, java, apache-spark Problem: Spark add same row number based on value in cell Code signals: Spark, df.show

Spark add same row number based on value in cell Spark add same row number based on value in cell scala java apache-spark Spark df.show Spark add same row number based on value in cell I have data as follows I want this to be converted as with out changing the order of the given input.

[ -0.01129150390625, 0.02197265625, -0.00787353515625, 0.02392578125, -0.006561279296875, -0.027587890625, 0.011962890625, -0.0042724609375, 0.005462646484375, 0.007171630859375, -0.02587890625, -0.010009765625, -0.0054931640625, 0.0108642578125, -0.0072021484375, -0.01202392578125, -0...

[ 152810, 15190, 5701, 15555, 14012, 35509, 98, 34292, 23, 38750, 146232, 79, 330, 2241, 1430, 7, 10237, 420, 31374, 2053, 28960, 3444, 117176, 237, 1810, 151134, 12989, 107730 ]

[ 0.253173828125, 0.146728515625, 0.137451171875, 0.2122802734375, 0.161376953125, 0.1214599609375, 0.051971435546875, 0.1912841796875, 0.05487060546875, 0.23291015625, 0.150390625, 0.06689453125, 0.0977783203125, 0.040252685546875, 0.0423583984375, 0.00493621826171875, 0.1666259765625...

embed

52790360_c0

52790360

scala

0

Title: Spark DataFrame: group by time gaps Problem title: Spark DataFrame: group by time gaps Tags: spark-streaming, scala, apache-spark, apache-spark-sql Problem: Spark DataFrame: group by time gaps Code signals: Spark, DataFrame, user_id

Spark DataFrame: group by time gaps Spark DataFrame: group by time gaps spark-streaming scala apache-spark apache-spark-sql Spark DataFrame user_id Spark DataFrame: group by time gaps My Spark DataFrame contains the following data: I need to count how many records each user has with time difference less than 15 min. Th...

[ 0.01123046875, -0.0096435546875, 0.01513671875, 0.005126953125, 0.002777099609375, 0.007293701171875, -0.00262451171875, 0.006805419921875, 0.0072021484375, -0.0208740234375, -0.008056640625, -0.0029449462890625, -0.004486083984375, 0.000885009765625, -0.004913330078125, 0.000226020812...

[ 152810, 11809, 108386, 282, 21115, 390, 1733, 43599, 131999, 86429, 214, 146232, 2241, 1430, 7, 10237, 99247, 38937, 532, 70541, 25632, 2053, 3871, 47, 54529, 5941, 115923, 12638, 1556, 60212, 40715, 423, 881, 16750, 5608, 6713, 1884, 903 ]

[ 0.291748046875, 0.1368408203125, 0.227294921875, 0.1446533203125, 0.2027587890625, 0.1104736328125, 0.1744384765625, 0.2452392578125, 0.2568359375, 0.17724609375, 0.0292816162109375, 0.1827392578125, 0.0882568359375, 0.09234619140625, 0.0230712890625, 0.1983642578125, 0.176513671875,...

embed

51417902_c0

51417902

scala

0

Title: Convert a list of lists to dataframe in spark scala Problem title: Convert a list of lists to dataframe in spark scala Tags: scala, apache-spark Problem: Convert a list of lists to dataframe in spark scala Code signals: Convert, List

Convert a list of lists to dataframe in spark scala Convert a list of lists to dataframe in spark scala scala apache-spark Convert List Convert a list of lists to dataframe in spark scala Now I have a list of lists like this: The output format I expect is following: How to do the convert in spark scala? I sincerely hop...

[ 0.01348876953125, 0.01470947265625, -0.01116943359375, 0.01239013671875, -0.002227783203125, -0.00994873046875, 0.01361083984375, 0.016845703125, -0.0146484375, 0.041259765625, 0.0113525390625, -0.029052734375, 0.0240478515625, -0.000942230224609375, -0.0011138916015625, -0.0185546875,...

[ 1657, 11549, 5303, 111, 7, 47, 2053, 160328, 131999, 146232, 2241, 1430, 10237, 32036, 23, 1884, 903, 140992, 9384, 41206, 25632, 11249, 54, 96760, 43699, 15673, 4358 ]

[ 0.045318603515625, 0.1527099609375, 0.2578125, 0.03173828125, 0.097900390625, 0.0828857421875, 0.1199951171875, 0.263671875, 0.2349853515625, 0.24609375, 0.0753173828125, 0.090087890625, 0.18115234375, 0.224853515625, 0.08477783203125, 0.0204010009765625, 0.004425048828125, 0.12756...

embed

36210356_c0

36210356

scala

0

Title: Add maven docsets to zeal Problem title: Add maven docsets to zeal Tags: zeal, scala, maven Problem: Add maven docsets to zeal According to the dash website there are maven docsets available. How do I add them to zeal? Code signals: Add

Add maven docsets to zeal Add maven docsets to zeal zeal scala maven Add Add maven docsets to zeal According to the dash website there are maven docsets available. How do I add them to zeal?

[ 0.005401611328125, 0.0196533203125, -0.0089111328125, -0.021484375, 0.004150390625, 0.0089111328125, -0.01348876953125, -0.007476806640625, 0.004791259765625, -0.0281982421875, 0.020263671875, -0.005615234375, 0.00445556640625, -0.01409912109375, -0.003326416015625, -0.012451171875, ...

[ 29117, 291, 1353, 51584, 3509, 7, 47, 932, 289, 146232, 70, 381, 127, 4165, 19882, 11249, 54, 15190, 2856 ]

[ 0.13232421875, 0.1041259765625, 0.2410888671875, 0.19775390625, 0.254638671875, 0.1470947265625, 0.14599609375, 0.2060546875, 0.2037353515625, 0.1805419921875, 0.0005068778991699219, 0.147705078125, 0.141845703125, 0.059661865234375, 0.132080078125, 0.04595947265625, 0.01622009277343...

embed

57140562_c0

57140562

scala

0

Title: Apache Spark, How to get time interval Problem title: Apache Spark, How to get time interval Tags: scala, apache-spark Problem: Apache Spark, How to get time interval Code signals: Apache, Spark, How, start_time, end_time, positive_count

Apache Spark, How to get time interval Apache Spark, How to get time interval scala apache-spark Apache Spark How start_time end_time positive_count Apache Spark, How to get time interval I have sensor data , which gives signal frequently as shown, here I am trying find time interval of positive signal where signal =1....

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[ 0.1458740234375, 0.12939453125, 0.27099609375, 0.03778076171875, 0.105712890625, 0.1822509765625, 0.28369140625, 0.192138671875, 0.0894775390625, 0.155517578125, 0.1143798828125, 0.152587890625, 0.08807373046875, 0.1544189453125, 0.1343994140625, 0.1673583984375, 0.056365966796875, ...

embed

4736174_c0

4736174

scala

0

Title: var_dump() in Scala Problem title: var_dump() in Scala Tags: scala Problem: var_dump() in Scala Is there any convenient way to dump all members of a specified object in Scala, like var_dump() , PHP function ? Code signals: var_dump, Scala

var_dump() in Scala var_dump() in Scala scala var_dump Scala var_dump() in Scala Is there any convenient way to dump all members of a specified object in Scala, like var_dump() , PHP function ?

[ 0.013427734375, 0.0062255859375, -0.004425048828125, 0.00604248046875, -0.01220703125, 0.0106201171875, -0.0250244140625, 0.0023345947265625, -0.028564453125, -0.01312255859375, 0.0126953125, -0.021484375, 0.036376953125, 0.006072998046875, 0.0159912109375, -0.01092529296875, -0.0125...

[ 285, 693, 2676, 23, 152653, 11, 454, 132, 146232, 142267, 3917, 47, 115, 756, 43032, 58735, 36746, 47302, 32354 ]

[ 0.211669921875, 0.1932373046875, 0.2353515625, 0.0867919921875, 0.2410888671875, 0.1739501953125, 0.0240631103515625, 0.052642822265625, 0.215576171875, 0.1201171875, 0.042816162109375, 0.04833984375, 0.182861328125, 0.11224365234375, 0.188232421875, 0.10821533203125, 0.16064453125, ...

embed

31204805_c4

31204805

scala

4

$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC, VAL2973, linee339bfc6d4e74d779737c9ccd8c21fd8158.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC, linee339bfc6d4e74d779737c9ccd8c21fd8158.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC

[ -0.009033203125, -0.00274658203125, -0.00909423828125, 0.006378173828125, 0.0029296875, 0.0244140625, 0.0172119140625, 0.017333984375, 0.009033203125, -0.00823974609375, 0.00004076957702636719, -0.01373291015625, 0.01177978515625, -0.0137939453125, -0.0079345703125, -0.0079345703125, ...

[ 3650, 4369, 14, 434, 441, 4, 55991, 142173, 363, 13315, 13, 131518, 150598, 910, 71, 617, 16360, 104656, 115252, 238, 1126, 10060, 1019, 3117, 420, 13556, 10057, 5, 39116 ]

[ 0.048980712890625, 0.049896240234375, 0.1466064453125, 0.183837890625, 0.197998046875, 0.1539306640625, 0.34228515625, 0.360595703125, 0.30810546875, 0.270263671875, 0.080810546875, 0.23046875, 0.0943603515625, 0.01666259765625, 0.1192626953125, 0.0188751220703125, 0.14404296875, 0...

embed

18677158_c0

18677158

scala

0

Title: How to collect items in a list of maps in Scala Problem title: How to collect items in a list of maps in Scala Tags: scala, dictionary, collate Problem: How to collect items in a list of maps in Scala Code signals: How, Scala, Seq, Map, List

How to collect items in a list of maps in Scala How to collect items in a list of maps in Scala scala dictionary collate How Scala Seq Map List How to collect items in a list of maps in Scala If I have a sequence of maps with repeating values and sub maps that look like this: What is the Scala way to converting it into...

[ 0.01434326171875, 0.003936767578125, 0.0106201171875, -0.00109100341796875, -0.0111083984375, -0.01611328125, -0.00182342529296875, 0.001068115234375, -0.00335693359375, 0.0279541015625, 0.00193023681640625, -0.002685546875, 0.01336669921875, 0.033935546875, 0.01531982421875, -0.013183...

[ 11249, 47, 43799, 55769, 23, 5303, 22288, 7, 152653, 11, 146232, 45, 10763, 65780, 67, 503, 864, 42719, 32036, 40, 944, 119140, 142424, 1614, 6713, 1884, 3917, 96760, 3934, 3674, 45646, 33342, 903 ]

[ 0.07025146484375, 0.039031982421875, 0.2313232421875, 0.189697265625, 0.05712890625, 0.1783447265625, 0.181640625, 0.073974609375, 0.22705078125, 0.15966796875, 0.214111328125, 0.00604248046875, 0.0576171875, 0.1558837890625, 0.134033203125, 0.0784912109375, 0.1473388671875, 0.1605...

embed

21248467_c0

21248467

scala

0

Title: Passing Tuple2 Argument with -> versus , Problem title: Passing Tuple2 Argument with -> versus , Tags: scala Problem: Passing Tuple2 Argument with -> versus , Code signals: Passing, Tuple2, Argument, Map, ofa.foldLeft, map2, y._2, y._1

Passing Tuple2 Argument with -> versus , Passing Tuple2 Argument with -> versus , scala Passing Tuple2 Argument Map ofa.foldLeft map2 y._2 y._1 Passing Tuple2 Argument with -> versus , Working on a Functional Programming in Scala exercise, I wrote out this function: map2's signature: def map2[A,B,C](fa: F[A], fb:...

[ 0.0169677734375, -0.0133056640625, 0.005218505859375, 0.00140380859375, -0.0103759765625, 0.008056640625, 0.00022792816162109375, 0.005126953125, 0.015869140625, 0.005950927734375, 0.00469970703125, 0.00183868408203125, 0.016357421875, 0.0181884765625, 0.006500244140625, -0.03100585937...

[ 28872, 1371, 8705, 304, 112140, 678, 20, 1230, 5386, 119475, 214, 146232, 42719, 111, 11, 42822, 2480, 22288, 113, 115187, 33079, 28670, 27958, 152653, 81979, 32354, 138256, 8, 571, 441, 1021, 563, 108642, 420, 313, 91995, 4568, 370, 25632,...

[ 0.1309814453125, 0.1341552734375, 0.189697265625, 0.1912841796875, 0.251953125, 0.101806640625, 0.0675048828125, 0.042236328125, 0.154052734375, 0.1962890625, 0.01214599609375, 0.185302734375, 0.1427001953125, 0.10009765625, 0.06475830078125, 0.148681640625, 0.091552734375, 0.12573...

embed

49782126_c2

49782126

scala

2

X.X.X.X, INT2, INT3, INT4, INT5, INT6, INT7, INT8, INT9, INT10, INT11, INT12, INT13, INT14, INT15, INT16, INT17, INT18, INT19, s10, INT20, INT21, ts3:tssub3, s11, s12, s13, INT22, INT23:INT24, s14, s15, s.foldLeft, parsed.blocks.size, parsed.blocks

[ -0.002471923828125, 0.014404296875, -0.00098419189453125, 0.033935546875, -0.0203857421875, -0.00689697265625, 0.01239013671875, -0.000705718994140625, 0.0380859375, -0.01458740234375, -0.0023345947265625, -0.0184326171875, 0.00335693359375, -0.011962890625, -0.013916015625, 0.01147460...

[ 1193, 5, 1542, 4, 6, 59537, 304, 363, 617, 758, 910, 966, 1019, 1126, 963, 1662, 1530, 2681, 2592, 1837, 2485, 2489, 1819, 2947, 91, 1549, 3117, 61636, 12, 933, 22144, 4015, 3742, 2357, 42822, 5267, 2480, 366, 5281, 81409, 62539, 7 ]

[ 0.1390380859375, 0.105712890625, 0.211181640625, 0.08221435546875, 0.0645751953125, 0.2366943359375, 0.1561279296875, 0.153076171875, 0.147216796875, 0.1217041015625, 0.124267578125, 0.09295654296875, 0.1158447265625, 0.1221923828125, 0.105712890625, 0.1162109375, 0.08807373046875, ...

embed

39457622_c0

39457622

scala

0

Title: Spark scala filter tuples in a list Problem title: Spark scala filter tuples in a list Tags: apache-spark, scala, rdd Problem: Spark scala filter tuples in a list Code signals: Spark, sc.parallelize, Seq, m.groupByKey.mapValues, _.toList, List

Spark scala filter tuples in a list Spark scala filter tuples in a list apache-spark scala rdd Spark sc.parallelize Seq m.groupByKey.mapValues _.toList List Spark scala filter tuples in a list I have an Rdd like below I transformed the above Rdd by using the groupByKey like below Result: Now, I want to filter the tuple...

[ 0.0225830078125, 0.017333984375, -0.006683349609375, -0.005889892578125, 0.0098876953125, -0.0201416015625, 0.0234375, 0.006103515625, 0.0054931640625, 0.025146484375, -0.0009765625, -0.000820159912109375, -0.0081787109375, 0.02392578125, -0.006561279296875, 0.00335693359375, 0.02148...

[ 152810, 146232, 46312, 370, 99726, 5303, 2241, 1430, 10237, 1690, 4028, 9023, 6276, 1229, 119066, 864, 347, 51588, 75358, 162429, 62346, 42272, 188, 154663, 32036, 627, 35064, 27198, 36917, 21115, 126684, 3444, 678, 18389, 142424, 12638, 84751,...

[ 0.2396240234375, 0.2032470703125, 0.2261962890625, 0.1246337890625, 0.187255859375, 0.1932373046875, 0.0751953125, 0.06585693359375, 0.1788330078125, 0.0087890625, 0.126220703125, 0.10009765625, 0.0192718505859375, 0.07958984375, 0.0772705078125, 0.1097412109375, 0.004302978515625, ...

embed

64739902_c0

64739902

scala

0

Title: Find min value for every 5 hour interval Problem title: Find min value for every 5 hour interval Tags: apache-spark, apache-spark-sql, scala Problem: Find min value for every 5 hour interval Code signals: Find, Seq, min_time, Window.partitionBy

Find min value for every 5 hour interval Find min value for every 5 hour interval apache-spark apache-spark-sql scala Find Seq min_time Window.partitionBy Find min value for every 5 hour interval My df For this case the first interval starts from 1 hour. So every row up to 6 (1 + 5) is part of this interval. But 8 - 1 ...

[ 0.005340576171875, -0.0068359375, 0.0216064453125, 0.021728515625, -0.021728515625, -0.01324462890625, 0.01495361328125, -0.002655029296875, -0.0027618408203125, -0.0201416015625, -0.0040283203125, -0.003173828125, 0.025146484375, -0.0001087188720703125, -0.006622314453125, 0.003524780...

[ 26040, 881, 34292, 11907, 190, 56816, 51514, 100, 2241, 1430, 10237, 99247, 146232, 503, 864, 6032, 176501, 15866, 1363, 75358, 420, 5117, 4034, 1295, 106, 15555, 305, 997, 21162, 2831, 382, 17932, 5847, 87, 1957, 616, 50960, 104851, 16750,...

[ 0.126708984375, 0.26123046875, 0.210205078125, 0.1134033203125, 0.2037353515625, 0.248046875, 0.2490234375, 0.02679443359375, 0.081787109375, 0.065185546875, 0.171630859375, 0.1981201171875, 0.1787109375, 0.045196533203125, 0.1685791015625, 0.178955078125, 0.1341552734375, 0.153808...

embed

53430472_c0

53430472

scala

0

Title: scala.util.Try recursive function throws compilation error Problem title: scala.util.Try recursive function throws compilation error Tags: scala Problem: scala.util.Try recursive function throws compilation error Code signals: scala.util.Try, Try

scala.util.Try recursive function throws compilation error scala.util.Try recursive function throws compilation error scala scala.util.Try Try scala.util.Try recursive function throws compilation error Given the following recursive function that returns Try[Int], I get a compilation error saying type mismatch; found : ...

[ 0.00045013427734375, 0.01116943359375, 0.0174560546875, 0.018798828125, 0.0089111328125, -0.01806640625, -0.007049560546875, -0.0128173828125, 0.00946044921875, -0.005645751953125, 0.0025482177734375, 0.005035400390625, 0.0028839111328125, 0.015869140625, 0.05322265625, -0.009765625, ...

[ 146232, 34, 3675, 618, 1294, 195625, 5844, 32354, 104250, 98352, 1363, 18499, 40858, 30646, 4153, 18, 10644, 1239, 98753, 14037, 56065, 360, 44691, 3871, 50339, 190355, 3408 ]

[ 0.1998291015625, 0.01171875, 0.15478515625, 0.1661376953125, 0.2452392578125, 0.2083740234375, 0.0927734375, 0.15771484375, 0.180908203125, 0.207275390625, 0.01873779296875, 0.1673583984375, 0.256103515625, 0.1033935546875, 0.06585693359375, 0.1007080078125, 0.1826171875, 0.0899658...

embed

31968095_c0

31968095

scala

0

Title: Could I use Akka to start background work (Future) Problem title: Could I use Akka to start background work (Future) Tags: akka, scala Problem: Could I use Akka to start background work (Future) Code signals: Could, Akka, Future, Worker, Actor, Task

Could I use Akka to start background work (Future) Could I use Akka to start background work (Future) akka scala Could Akka Future Worker Actor Task Could I use Akka to start background work (Future) is it good to use Akka as a Background Worker? Like I want to insert some Queries in the Database and then return someth...

[ -0.0081787109375, 0.029052734375, -0.00225830078125, -0.006317138671875, -0.0164794921875, -0.016845703125, 0.00811767578125, 0.00213623046875, 0.0245361328125, -0.033447265625, 0.004852294921875, 0.0294189453125, 0.029296875, 0.028564453125, 0.00194549560546875, -0.01171875, 0.01879...

[ 191147, 87, 4527, 62, 5515, 47, 4034, 76615, 4488, 80163, 6644, 81866, 146232, 94724, 27985, 56, 185617, 9598, 92, 83, 442, 4127, 237, 10, 26828, 64330, 3444, 183540, 5813, 187781, 30646, 38937, 8108, 80889, 5608, 31471, 11809, 15700, 63399...

[ 0.146484375, 0.0477294921875, 0.17919921875, 0.1575927734375, 0.285888671875, 0.06768798828125, 0.1551513671875, 0.21240234375, 0.1473388671875, 0.1541748046875, 0.161865234375, 0.2354736328125, 0.2099609375, 0.228759765625, 0.171142578125, 0.144775390625, 0.184326171875, 0.1828613...

embed

6916843_c0

6916843

scala

0

Title: Scala tuple memory overhead Problem title: Scala tuple memory overhead Tags: scala, memory-management Problem: Scala tuple memory overhead What is additional memory cost of Tuple[Int, Int] ie. (1, 2) over two Ints without Tuple ? Code signals: Scala

Scala tuple memory overhead Scala tuple memory overhead scala memory-management Scala Scala tuple memory overhead What is additional memory cost of Tuple[Int, Int] ie. (1, 2) over two Ints without Tuple ?

[ 0.025634765625, 0.023681640625, -0.007659912109375, 0.02294921875, 0.00469970703125, -0.0135498046875, -0.01409912109375, 0.016357421875, 0.0011444091796875, -0.014404296875, -0.006103515625, -0.0029144287109375, 0.00958251953125, 0.038818359375, 0.008056640625, 0.007110595703125, 0....

[ 152653, 11, 370, 8705, 98323, 645, 31251, 146232, 87140, 83, 78301, 11034, 1371, 4153, 18, 360, 4958, 6626, 933, 15490 ]

[ 0.1607666015625, 0.06939697265625, 0.11053466796875, 0.2213134765625, 0.205078125, 0.09930419921875, 0.1656494140625, 0.156982421875, 0.1297607421875, 0.039459228515625, 0.1407470703125, 0.2012939453125, 0.1148681640625, 0.07696533203125, 0.110107421875, 0.11627197265625, 0.109863281...

embed

23427605_c0

23427605

scala

0

Title: scalding NoClassDefFoundError Problem title: scalding NoClassDefFoundError Tags: sbt, scala, java, scalding Problem: scalding NoClassDefFoundError Code signals: NoClassDefFoundError, scald.rb, WordCountJob.scala, someInputfile.txt, someOutputFile.tsv

scalding NoClassDefFoundError scalding NoClassDefFoundError sbt scala java scalding NoClassDefFoundError scald.rb WordCountJob.scala someInputfile.txt someOutputFile.tsv scalding NoClassDefFoundError after installing java, scala scalding on OSX i have the following error when i try to run the WordCountJob file does any...

[ 0.007354736328125, 0.0198974609375, -0.0047607421875, 0.01904296875, -0.00848388671875, 0.021728515625, -0.004486083984375, 0.007110595703125, 0.00775146484375, 0.007476806640625, -0.0159912109375, -0.0213623046875, -0.0093994140625, 0.004730224609375, 0.0074462890625, -0.0172119140625...

[ 117906, 6238, 438, 140803, 187423, 27591, 7030, 18468, 31611, 16723, 146232, 79, 330, 71, 13471, 22543, 108210, 194802, 62309, 3060, 7077, 29822, 124326, 79858, 174350, 334, 7103, 20600, 214, 98, 11787, 1542, 765, 70, 25632, 18499, 9790, 1167...

[ 0.222412109375, 0.16552734375, 0.1273193359375, 0.1766357421875, 0.19970703125, 0.10479736328125, 0.0887451171875, 0.1033935546875, 0.045623779296875, 0.123779296875, 0.2125244140625, 0.1329345703125, 0.2020263671875, 0.1119384765625, 0.109375, 0.145751953125, 0.1727294921875, 0.20...

embed

51489986_c0

51489986

scala

0

Title: Converting WrappedArray to string in DataFrame Problem title: Converting WrappedArray to string in DataFrame Tags: scala, apache-spark, dataframe Problem: Converting WrappedArray to string in DataFrame Code signals: Converting, WrappedArray, DataFrame

Converting WrappedArray to string in DataFrame Converting WrappedArray to string in DataFrame scala apache-spark dataframe Converting WrappedArray DataFrame Converting WrappedArray to string in DataFrame I have a DataFrame like the following: I want to convert the WrappedArray s to strings and have the following output...

[ 0.00787353515625, -0.00701904296875, -0.017578125, 0.0244140625, -0.00115966796875, -0.012939453125, 0.003326416015625, -0.01556396484375, -0.004150390625, 0.05078125, -0.00543212890625, -0.00024127960205078125, -0.019287109375, -0.0003509521484375, -0.022705078125, -0.00628662109375, ...

[ 814, 219, 48398, 7614, 7092, 47, 79315, 23, 11809, 108386, 282, 1916, 601, 146232, 2241, 1430, 10237, 2053, 160328, 25632, 3444, 96760, 140992, 152810, 17368, 152653, 11 ]

[ 0.0936279296875, 0.1473388671875, 0.1285400390625, 0.1402587890625, 0.221923828125, 0.08984375, 0.250732421875, 0.0206146240234375, 0.08203125, 0.1748046875, 0.0733642578125, 0.021942138671875, 0.011932373046875, 0.1856689453125, 0.034515380859375, 0.05377197265625, 0.14404296875, ...

embed

48468737_c0

48468737

scala

0

Title: How to create a DataFrame from List? Problem title: How to create a DataFrame from List? Tags: apache-spark, dataframe, scala, apache-spark-sql Problem: How to create a DataFrame from List? Code signals: List, How, DataFrame, col2, values.toDF, df.show

How to create a DataFrame from List? How to create a DataFrame from List? apache-spark dataframe scala apache-spark-sql List How DataFrame col2 values.toDF df.show How to create a DataFrame from List? I want to create DataFrame df that should look as simple as this: This is what I do: And this is what I get: What's wro...

[ 0.0283203125, 0.007476806640625, -0.023193359375, 0.040771484375, 0.00750732421875, -0.012451171875, 0.0242919921875, -0.0030975341796875, -0.005706787109375, 0.0203857421875, 0.005523681640625, -0.0296630859375, 0.019775390625, -0.015869140625, -0.02783203125, -0.006500244140625, 0....

[ 11249, 47, 28282, 10, 11809, 108386, 282, 1295, 32036, 2241, 1430, 10237, 2053, 160328, 146232, 99247, 3365, 304, 142424, 188, 38997, 104, 420, 31374, 3444, 5608, 6713, 8781, 903, 3293, 54, 44691, 3688 ]

[ 0.09490966796875, 0.0845947265625, 0.185791015625, 0.08404541015625, 0.1466064453125, 0.275390625, 0.2130126953125, 0.1812744140625, 0.270263671875, 0.06842041015625, 0.09002685546875, 0.1827392578125, 0.1181640625, 0.250732421875, 0.1656494140625, 0.1558837890625, 0.09619140625, 0...

embed

48928601_c0

48928601

scala

0

Title: split the file into multiple files based on a string in spark scala Problem title: split the file into multiple files based on a string in spark scala Tags: apache-spark, scala Problem: split the file into multiple files based on a string in spark scala

split the file into multiple files based on a string in spark scala split the file into multiple files based on a string in spark scala apache-spark scala split the file into multiple files based on a string in spark scala I have a text file with the below data having no particular format I want the output as two files...

[ 0.020751953125, -0.00171661376953125, -0.01483154296875, 0.0341796875, -0.01409912109375, -0.00836181640625, 0.0296630859375, -0.00090789794921875, -0.01092529296875, 0.00970458984375, -0.00897216796875, -0.0042724609375, -0.0198974609375, 0.00396728515625, 0.021240234375, -0.003463745...

[ 65450, 11435, 3934, 48716, 102158, 35509, 98, 79315, 131999, 146232, 2241, 1430, 7, 10237, 7986, 35064, 2053, 17311, 9384, 3444, 140992, 237, 6626, 44978, 1563, 238, 47, 13806, 15573, 70, 123055, 5608, 186, 5959, 9351, 13315, 4034, 678, 472...

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embed

64888000_c0

64888000

scala

0

Title: How to use LIKE operator in Slick? Problem title: How to use LIKE operator in Slick? Tags: mysql, slick, scala Problem: How to use LIKE operator in Slick? Code signals: How, LIKE, Slick, etilizeRequest.q.nonEmpty, cnRep.map, _.name, etilizeRequest.q.get

How to use LIKE operator in Slick? How to use LIKE operator in Slick? mysql slick scala How LIKE Slick etilizeRequest.q.nonEmpty cnRep.map _.name etilizeRequest.q.get How to use LIKE operator in Slick? I am trying to use Slick framework for integration with MySQL . However whenever I use LIKE operator it fails with the...

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[ 0.068115234375, 0.021240234375, 0.13623046875, 0.154052734375, 0.275634765625, 0.252197265625, 0.047271728515625, 0.1510009765625, 0.29248046875, 0.05859375, 0.1387939453125, 0.10174560546875, 0.2001953125, 0.0865478515625, 0.1336669921875, 0.1099853515625, 0.076416015625, 0.145507...

embed

27679741_c0

27679741

scala

0

Title: How to flatten List[Any]? Problem title: How to flatten List[Any]? Tags: scala Problem: How to flatten List[Any]? In Scala, how can you flatten this: List(1, List(2, 3), 4, List(5, 6, 7)) into this List(1, 2, 3, 4, 5, 6, 7) ? Code signals: How, List, Any

How to flatten List[Any]? How to flatten List[Any]? scala How List Any How to flatten List[Any]? In Scala, how can you flatten this: into this ?

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[ 11249, 47, 49878, 510, 32036, 284, 299, 146232, 28541, 152653, 11, 3642, 831, 903, 12, 3934 ]

[ 0.06976318359375, 0.0654296875, 0.224609375, 0.2188720703125, 0.251220703125, 0.05712890625, 0.172119140625, 0.16064453125, 0.175048828125, 0.16259765625, 0.094970703125, 0.052001953125, 0.01544189453125, 0.13720703125, 0.00821685791015625, 0.1326904296875 ]

embed

61796531_c0

61796531

scala

0

Title: How to pass Function result to math.max Problem title: How to pass Function result to math.max Tags: scala, scala-placeholder-syntax Problem: How to pass Function result to math.max Code signals: How, math.max, Seq, inputs.reduceLeft, Double, Float, Long

How to pass Function result to math.max How to pass Function result to math.max scala scala-placeholder-syntax How math.max Seq inputs.reduceLeft Double Float Long How to pass Function result to math.max I am able to do this: But, when I am trying to do this: I am getting below mentioned compilation error: I just want ...

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[ 0.06689453125, 0.1142578125, 0.161376953125, 0.1785888671875, 0.1517333984375, 0.208740234375, 0.154541015625, 0.05810546875, 0.21728515625, 0.2008056640625, 0.10247802734375, 0.1451416015625, 0.045013427734375, 0.1170654296875, 0.0621337890625, 0.1612548828125, 0.1102294921875, 0....

embed

52307668_c0

52307668

scala

0

Title: Comparing the value of columns in two dataframe Problem title: Comparing the value of columns in two dataframe Tags: compare, apache-spark, apache-spark-sql, scala Problem: Comparing the value of columns in two dataframe Code signals: Comparing, df1, df2

Comparing the value of columns in two dataframe Comparing the value of columns in two dataframe compare apache-spark apache-spark-sql scala Comparing df1 df2 Comparing the value of columns in two dataframe I have two dataframe, one has unique value of id and other can have multiple values of different id . This is data...

[ 0.0123291015625, 0.003570556640625, -0.01953125, 0.03369140625, 0.01202392578125, -0.00994873046875, 0.01123046875, 0.01251220703125, 0.00836181640625, 0.0498046875, 0.0028228759765625, 0.005523681640625, 0.00634765625, -0.006439208984375, -0.01416015625, -0.0140380859375, -0.0009269...

[ 113307, 34292, 3365, 316, 1779, 6626, 2053, 160328, 111, 69101, 2241, 1430, 10237, 99247, 146232, 104, 420, 418, 304, 23, 36998, 3447, 48716, 142424, 12921, 464, 17932, 678, 5117, 1257, 56464, 18, 17311, 117396, 40407, 35431, 37397, 44457 ]

[ 0.1741943359375, 0.1781005859375, 0.1480712890625, 0.1614990234375, 0.053070068359375, 0.1690673828125, 0.083251953125, 0.2449951171875, 0.00738525390625, 0.2073974609375, 0.0662841796875, 0.05316162109375, 0.1600341796875, 0.1488037109375, 0.1925048828125, 0.05029296875, 0.166259765...

embed

45016759_c0

45016759

scala

0

Title: how to convert yyyy-dd-mmThh:mm:ss in spark sql Problem title: how to convert yyyy-dd-mmThh:mm:ss in spark sql Tags: scala, apache-spark-sql Problem: how to convert yyyy-dd-mmThh:mm:ss in spark sql Code signals: yyyy-dd-mmThh:mm:ss, event_status, hh:mm:ss

how to convert yyyy-dd-mmThh:mm:ss in spark sql how to convert yyyy-dd-mmThh:mm:ss in spark sql scala apache-spark-sql yyyy-dd-mmThh:mm:ss event_status hh:mm:ss how to convert yyyy-dd-mmThh:mm:ss in spark sql I have above dataset , I need to convert format for timestamp to "yyyy-mm-dd hh:mm:ss" so I can calculate times...

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[ 0.057708740234375, 0.17431640625, 0.097900390625, 0.06976318359375, 0.2412109375, 0.1341552734375, 0.149169921875, 0.08984375, 0.150390625, 0.1395263671875, 0.050628662109375, 0.229736328125, 0.04718017578125, 0.213134765625, 0.05975341796875, 0.009490966796875, 0.0238189697265625, ...

embed

1345713_c0

1345713

scala

0

Title: What Are The Benefits Of Scala? Problem title: What Are The Benefits Of Scala? Tags: scala, java Problem: What Are The Benefits Of Scala? I am a Java developer and I want to know how I can use Scala in my Java programs? Code signals: What, Benefits, Scala

What Are The Benefits Of Scala? What Are The Benefits Of Scala? scala java What Benefits Scala What Are The Benefits Of Scala? I am a Java developer and I want to know how I can use Scala in my Java programs?

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[ 0.0811767578125, 0.10107421875, 0.11419677734375, 0.133544921875, 0.189453125, 0.1324462890625, 0.1431884765625, 0.241943359375, 0.204345703125, 0.03948974609375, 0.2276611328125, 0.1082763671875, 0.144775390625, 0.01169586181640625, 0.1619873046875, 0.0841064453125, 0.00078201293945...

embed

3251914_c0

3251914

scala

0

Title: Protected functions in Scala Problem title: Protected functions in Scala Tags: scala Problem: Protected functions in Scala How do you make a protected function in a class accessible to just all classes in the package in Scala? Code signals: Protected, Scala

Protected functions in Scala Protected functions in Scala scala Protected Scala Protected functions in Scala How do you make a protected function in a class accessible to just all classes in the package in Scala?

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[ 127942, 297, 32354, 23, 152653, 11, 146232, 11249, 54, 3249, 10, 30312, 18507, 81522, 47, 1660, 756, 61112, 98169 ]

[ 0.2042236328125, 0.136474609375, 0.2288818359375, 0.053497314453125, 0.218994140625, 0.1741943359375, 0.20556640625, 0.0230865478515625, 0.0090179443359375, 0.102783203125, 0.0178375244140625, 0.2374267578125, 0.1839599609375, 0.169677734375, 0.097412109375, 0.047607421875, 0.1079101...

embed

51871289_c0

51871289

scala

0

Title: Add sequence id for groupby column Problem title: Add sequence id for groupby column Tags: apache-spark-sql, scala, group-by, dataframe, apache-spark Problem: Add sequence id for groupby column Code signals: Add, rpc1, rpc4, rpc5, rpc2, rpc3, dataset.select

Add sequence id for groupby column Add sequence id for groupby column apache-spark-sql scala group-by dataframe apache-spark Add rpc1 rpc4 rpc5 rpc2 rpc3 dataset.select Add sequence id for groupby column I have a requirement that to add a sequence id for groupby column. The original Dataset is like this: After doing a ...

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[ 0.10205078125, 0.0667724609375, 0.14208984375, 0.11669921875, 0.212890625, 0.010406494140625, 0.1929931640625, 0.226806640625, 0.1595458984375, 0.179443359375, 0.045257568359375, 0.0694580078125, 0.144775390625, 0.14453125, 0.140380859375, 0.027679443359375, 0.10888671875, 0.122558...

embed

34150547_c0

34150547

scala

0

Title: Spark: group concat equivalent in scala rdd Problem title: Spark: group concat equivalent in scala rdd Tags: apache-spark-sql, group-concat, rdd, scala, apache-spark Problem: Spark: group concat equivalent in scala rdd Code signals: Spark, v21, d21, v22, d22

Spark: group concat equivalent in scala rdd Spark: group concat equivalent in scala rdd apache-spark-sql group-concat rdd scala apache-spark Spark v21 d21 v22 d22 Spark: group concat equivalent in scala rdd I have following DataFrame: I want to transform it into: Is it possible through data frame operations? How would ...

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[ 152810, 21115, 158, 4460, 183234, 146232, 1690, 4028, 2241, 1430, 10237, 99247, 2271, 3117, 4015, 25632, 11809, 108386, 282, 3444, 47, 27198, 442, 3934, 7722, 8305, 2053, 123789, 41018, 167201, 6713, 44136, 107, 106357, 22799, 6528, 39908, 10...

[ 0.2783203125, 0.2041015625, 0.13427734375, 0.240478515625, 0.1566162109375, 0.1912841796875, 0.083251953125, 0.213134765625, 0.08685302734375, 0.0791015625, 0.15185546875, 0.1473388671875, 0.10693359375, 0.086181640625, 0.093505859375, 0.0858154296875, 0.05181884765625, 0.18359375,...

embed

47166706_c0

47166706

scala

0

Title: Why can't I use sort or orderby on DataFrame? Problem title: Why can't I use sort or orderby on DataFrame? Tags: scala, apache-spark Problem: Why can't I use sort or orderby on DataFrame? Code signals: Why, DataFrame, df1, df.toDF, scala.math.order

Why can't I use sort or orderby on DataFrame? Why can't I use sort or orderby on DataFrame? scala apache-spark Why DataFrame df1 df.toDF scala.math.order Why can't I use sort or orderby on DataFrame? When I try to sort a DataFrame: I get: I've also tried order by, but neither works. What is the issue here? Do...

[ 0.0196533203125, 0.0026397705078125, 0.0042724609375, -0.00677490234375, -0.0037384033203125, -0.0289306640625, 0.007293701171875, -0.0233154296875, -0.0013885498046875, -0.00213623046875, -0.016845703125, 0.007232666015625, -0.00897216796875, -0.011962890625, 0.002105712890625, -0.010...

[ 44084, 831, 3768, 18, 4527, 12096, 707, 12989, 1272, 98, 11809, 108386, 282, 146232, 2241, 1430, 10237, 420, 418, 188, 38997, 125458, 80596, 87, 9790, 2843, 37842, 390, 2725, 9319, 43240, 31089, 24927 ]

[ 0.0938720703125, 0.110595703125, 0.03662109375, 0.095703125, 0.1260986328125, 0.220458984375, 0.1156005859375, 0.175048828125, 0.244873046875, 0.08551025390625, 0.08636474609375, 0.2236328125, 0.1666259765625, 0.2003173828125, 0.044525146484375, 0.077392578125, 0.1654052734375, 0.0...

embed

19386964_c0

19386964

scala

0

Title: I want to get the type of a variable at runtime Problem title: I want to get the type of a variable at runtime Tags: scala, reflection Problem: I want to get the type of a variable at runtime I want to get the type of a variable at runtime. How do I do this?

I want to get the type of a variable at runtime I want to get the type of a variable at runtime scala reflection I want to get the type of a variable at runtime I want to get the type of a variable at runtime. How do I do this?

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[ 3444, 2046, 70, 10644, 111, 77336, 99, 11675, 6032, 47, 146232, 44961, 1830, 54, 903 ]

[ 0.070556640625, 0.0914306640625, 0.03839111328125, 0.2119140625, 0.091552734375, 0.245361328125, 0.08770751953125, 0.1220703125, 0.17431640625, 0.0018157958984375, 0.1646728515625, 0.190673828125, 0.0947265625, 0.00824737548828125, 0.018402099609375 ]

embed

62566802_c0

62566802

scala

0

Title: How to add index in values with array type column Problem title: How to add index in values with array type column Tags: parquet, scala, apache-spark Problem: How to add index in values with array type column Code signals: How, Key_1, Key_2, Key_3, Ref_codes

How to add index in values with array type column How to add index in values with array type column parquet scala apache-spark How Key_1 Key_2 Key_3 Ref_codes How to add index in values with array type column I have a requirement to add sequence number to the columns (Array) where my source data is in parquet format an...

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[ 11249, 15190, 63262, 23, 142424, 678, 10298, 53, 10644, 3365, 316, 47, 49663, 18, 146232, 2241, 1430, 10237, 26824, 363, 53295, 40899, 64209, 40, 944, 3956, 14012, 7614, 7092, 31344, 2053, 9384, 21950, 96222, 115923, 55076, 22799, 136, 1815...

[ 0.051483154296875, 0.1591796875, 0.25830078125, 0.0960693359375, 0.1856689453125, 0.0960693359375, 0.1527099609375, 0.1107177734375, 0.1646728515625, 0.1431884765625, 0.1669921875, 0.000213623046875, 0.1270751953125, 0.10162353515625, 0.1912841796875, 0.032684326171875, 0.06060791015...

embed

65238556_c0

65238556

scala

0

Title: How to replace Symbols and characters in Spark? Problem title: How to replace Symbols and characters in Spark? Tags: scala, apache-spark Problem: How to replace Symbols and characters in Spark? Code signals: How, Symbols, Spark, df.withColumn, regexp_replace

How to replace Symbols and characters in Spark? How to replace Symbols and characters in Spark? scala apache-spark How Symbols Spark df.withColumn regexp_replace How to replace Symbols and characters in Spark? How do I replace <@> with . ? Expected Output: I tried df.withColumn("average", regexp_replace($"average","[<@...

[ -0.01531982421875, -0.005889892578125, -0.0181884765625, 0.03564453125, -0.0004024505615234375, -0.00927734375, -0.001983642578125, 0.003662109375, 0.0211181640625, 0.025146484375, 0.00007343292236328125, -0.0015869140625, 0.00592041015625, -0.00131988525390625, 0.004547119140625, 0.01...

[ 11249, 47, 91995, 131899, 7, 136, 124850, 23, 152810, 32, 146232, 2241, 1430, 10237, 104, 420, 76228, 78457, 316, 6835, 83613, 107, 23935, 4426, 981, 2740, 678, 5, 60075, 13, 89829, 13538, 37842, 8216, 29838, 4369, 16093, 70, 140992 ]

[ 0.06103515625, 0.039459228515625, 0.1787109375, 0.23828125, 0.0833740234375, 0.1129150390625, 0.191650390625, 0.0775146484375, 0.30224609375, 0.001983642578125, 0.1568603515625, 0.0789794921875, 0.076904296875, 0.1685791015625, 0.0263214111328125, 0.10430908203125, 0.09423828125, 0...

embed

60701710_c0

60701710

scala

0

Title: Validation that returns more than 1 error Problem title: Validation that returns more than 1 error Tags: scala Problem: Validation that returns more than 1 error Code signals: Validation, Response, JsValue, Boolean, Option, None, Some, Name, Age, DOB, record1

Validation that returns more than 1 error Validation that returns more than 1 error scala Validation Response JsValue Boolean Option None Some Name Age DOB record1 Validation that returns more than 1 error I'm doing a few validations using an older Scala version (2.0) but for each record I am currently getting only 1 e...

[ 0.01409912109375, 0.01336669921875, -0.0169677734375, 0.00933837890625, 0.000827789306640625, 0.004486083984375, -0.01300048828125, -0.00714111328125, 0.0244140625, -0.019287109375, 0.01104736328125, -0.004302978515625, 0.03271484375, 0.0091552734375, 0.01177978515625, 0.01434326171875...

[ 25447, 85, 1363, 30646, 1286, 3501, 106, 18499, 450, 146232, 92748, 821, 856, 50770, 73783, 34677, 86769, 438, 15757, 72944, 6197, 571, 17164, 418, 10846, 44622, 5256, 114210, 152653, 11, 11389, 73011, 12638, 82424, 20949, 4734, 66596, 116, ...

[ 0.176025390625, 0.141357421875, 0.09930419921875, 0.158447265625, 0.08685302734375, 0.0833740234375, 0.0814208984375, 0.2318115234375, 0.0010986328125, 0.15576171875, 0.06512451171875, 0.1285400390625, 0.074462890625, 0.0751953125, 0.00390625, 0.0977783203125, 0.11572265625, 0.0121...

embed

15259595_c0

15259595

scala

0

Title: Why does this complex for comprehension fail? Problem title: Why does this complex for comprehension fail? Tags: scala Problem: Why does this complex for comprehension fail? Code signals: Why, Example, App, Some, Map, scala.collection.immutable.Iterable, Option

Why does this complex for comprehension fail? Why does this complex for comprehension fail? scala Why Example App Some Map scala.collection.immutable.Iterable Option Why does this complex for comprehension fail?

[ 0.01556396484375, 0.012939453125, -0.0059814453125, -0.0015716552734375, -0.004913330078125, -0.006866455078125, 0.012939453125, -0.002716064453125, 0.017822265625, 0.0311279296875, 0.01055908203125, 0.003021240234375, 0.0223388671875, 0.02490234375, -0.0036163330078125, -0.00393676757...

[ 44084, 14602, 903, 27140, 100, 46683, 3220, 35782, 146232, 89536, 5659, 31384, 42719, 196352, 1830, 464, 561, 22819, 720, 2886, 86769 ]

[ 0.07977294921875, 0.0650634765625, 0.068603515625, 0.2095947265625, 0.0460205078125, 0.10430908203125, 0.12432861328125, 0.1768798828125, 0.2222900390625, 0.1065673828125, 0.1351318359375, 0.0214996337890625, 0.1534423828125, 0.143798828125, 0.00917816162109375, 0.01348876953125, 0.1...

embed

58747432_c0

58747432

scala

0

Title: Convert String into List of List Problem title: Convert String into List of List Tags: scala, parsing Problem: Convert String into List of List Code signals: Convert, List, Double, a.substring, a.length-1, b.substring, b.length-2, a.concat, res1, res.split, Any

Convert String into List of List Convert String into List of List scala parsing Convert List Double a.substring a.length-1 b.substring b.length-2 a.concat res1 res.split Any Convert String into List of List Input(String): I want to convert this string into a list of lists with type: List[List[String,Double,String]] Wha...

[ 0.0155029296875, -0.01068115234375, -0.00848388671875, 0.01953125, -0.01153564453125, 0.0196533203125, -0.004364013671875, -0.01165771484375, 0.0091552734375, 0.0244140625, -0.016845703125, -0.026611328125, -0.001495361328125, -0.0157470703125, -0.0152587890625, -0.005767822265625, -...

[ 1657, 11549, 23351, 214, 3934, 32036, 111, 146232, 366, 107172, 10, 196842, 2852, 23986, 5759, 876, 5428, 4460, 3332, 4353, 28541, 360, 7077, 71713, 3444, 96760, 903, 79315, 5303, 10644, 154663, 8331, 34, 2661, 2965, 7722, 3917, 54, 2060, ...

[ 0.0518798828125, 0.165283203125, 0.224853515625, 0.1158447265625, 0.1199951171875, 0.2431640625, 0.1793212890625, 0.190673828125, 0.06524658203125, 0.1539306640625, 0.0191650390625, 0.0780029296875, 0.1148681640625, 0.057769775390625, 0.10400390625, 0.0237274169921875, 0.080200195312...

embed

74727454_c0

74727454

scala

0

Title: spark/scala: How to merge values of a single key into a column Problem title: spark/scala: How to merge values of a single key into a column Tags: apache-spark, scala Problem: spark/scala: How to merge values of a single key into a column Code signals: How, DTXN

spark/scala: How to merge values of a single key into a column spark/scala: How to merge values of a single key into a column apache-spark scala How DTXN spark/scala: How to merge values of a single key into a column I have a dataset like below I need to produce an output like below To be precise i need to merge the co...

[ 0.0172119140625, 0.002655029296875, -0.00141143798828125, 0.0045166015625, -0.0015411376953125, -0.002166748046875, 0.0033416748046875, -0.0111083984375, 0.00830078125, 0.03076171875, -0.01214599609375, 0.00445556640625, 0.0028839111328125, -0.0037994384765625, -0.014404296875, -0.0156...

[ 131999, 64, 7, 62309, 11249, 47, 42564, 142424, 11001, 22799, 3934, 10, 3365, 316, 111, 2241, 1430, 10237, 146232, 54047, 839, 19, 2053, 3509, 35064, 3871, 27489, 140992, 134995, 1779, 35735, 40899, 33297, 1340, 29459, 3642, 54, 903, 23 ]

[ 0.2418212890625, 0.061767578125, 0.048858642578125, 0.24951171875, 0.0867919921875, 0.0275421142578125, 0.25244140625, 0.201416015625, 0.1787109375, 0.2091064453125, 0.169189453125, 0.044281005859375, 0.167236328125, 0.1796875, 0.0198974609375, 0.0533447265625, 0.055419921875, 0.19...

embed

55253365_c1

55253365

scala

1

8801773208566601169877685606479644775390625 Big num in scala 0.02498934809987988 0.024989348099879880 [0.024989348099879880] Code signals: java.math.BigDecimal, sc.implicits._, Losing, Spark, BigDecimal, scala.math.BigDecimal, Big, Converted, List, ds.head, ds.toDF.head

[ 0.0034637451171875, -0.01177978515625, -0.025390625, -0.006866455078125, 0.005157470703125, -0.010986328125, -0.0076904296875, 0.00640869140625, 0.02001953125, 0.005126953125, -0.01385498046875, 0.0028076171875, -0.01434326171875, -0.0126953125, 0.00848388671875, 0.0076904296875, 0.0...

[ 111056, 144283, 76531, 12951, 77622, 141492, 182055, 171141, 161025, 165131, 185355, 146051, 9323, 9016, 2588, 14195, 13269, 23, 146232, 89678, 2357, 176673, 135407, 6463, 185752, 193021, 363, 104519, 5046, 206347, 99929, 268, 28864, 26073, 7, 12...

[ 0.2423095703125, 0.14404296875, 0.0648193359375, 0.053497314453125, 0.085693359375, 0.047698974609375, 0.03826904296875, 0.041168212890625, 0.063232421875, 0.05242919921875, 0.03863525390625, 0.04278564453125, 0.043975830078125, 0.043182373046875, 0.1754150390625, 0.21875, 0.28222656...

embed

46331133_c0

46331133

scala

0

Title: Error when compiling. What am I doing wrong? Problem title: Error when compiling. What am I doing wrong? Tags: import, compilation, scala Problem: Error when compiling. What am I doing wrong? Code signals: JColor, compilation, Error, What, blockmole.scala:4, Color

Error when compiling. What am I doing wrong? Error when compiling. What am I doing wrong? import compilation scala JColor compilation Error What blockmole.scala:4 Color Error when compiling. What am I doing wrong? When i compile I get this error: The error is somewhere inside this bit of code:

[ 0.007720947265625, 0.009765625, -0.024169921875, 0.02001953125, 0.00189971923828125, 0.022216796875, -0.00390625, -0.00408935546875, -0.004974365234375, 0.0260009765625, -0.020751953125, -0.020263671875, 0.020263671875, -0.006134033203125, 0.0035552978515625, 0.0087890625, -0.0167236...

[ 212059, 3229, 9969, 49725, 5, 4865, 444, 87, 20594, 44691, 24927, 98352, 146232, 821, 10625, 1484, 46389, 432, 133, 62309, 617, 51193, 14847, 17, 1340, 2046, 903, 18499, 83, 174653, 46132, 4785, 111, 18151 ]

[ 0.1884765625, 0.093994140625, 0.1712646484375, 0.19970703125, 0.047088623046875, 0.061614990234375, 0.118896484375, 0.06707763671875, 0.0863037109375, 0.176513671875, 0.1466064453125, 0.1949462890625, 0.180419921875, 0.1346435546875, 0.12744140625, 0.2032470703125, 0.1444091796875, ...

embed

60769058_c0

60769058

scala

0

Title: upate a column based on multiple columns Problem title: upate a column based on multiple columns Tags: scala, apache-spark Problem: upate a column based on multiple columns I have Data frame : And i need the result like this: I am not getting a idea how to do this.

upate a column based on multiple columns upate a column based on multiple columns scala apache-spark upate a column based on multiple columns I have Data frame : And i need the result like this: I am not getting a idea how to do this.

[ -0.0009307861328125, 0.00811767578125, -0.0120849609375, 0.041259765625, -0.006622314453125, -0.00531005859375, 0.000396728515625, 0.01080322265625, 0.004425048828125, 0.024169921875, -0.008056640625, -0.005126953125, 0.00421142578125, -0.0023345947265625, -0.01287841796875, -0.0163574...

[ 1257, 2182, 10, 3365, 316, 19, 35509, 98, 48716, 146232, 2241, 1430, 10237, 1779, 11809, 123789, 3871, 16750, 1884, 903, 20949, 6528, 3642, 54 ]

[ 0.1524658203125, 0.2113037109375, 0.056671142578125, 0.1754150390625, 0.18505859375, 0.07373046875, 0.1480712890625, 0.06427001953125, 0.1881103515625, 0.172119140625, 0.0833740234375, 0.06158447265625, 0.1751708984375, 0.009124755859375, 0.050048828125, 0.196044921875, 0.09008789062...

embed

41057458_c0

41057458

scala

0

Title: Downloading akka-http jar files Problem title: Downloading akka-http jar files Tags: akka-http, scala Problem: Downloading akka-http jar files I am unable to find akka-http jar files anywhere. Where can I download them from? ( without sbt ) Code signals: Downloading

Downloading akka-http jar files Downloading akka-http jar files akka-http scala Downloading Downloading akka-http jar files I am unable to find akka-http jar files anywhere. Where can I download them from? ( without sbt )

[ -0.01190185546875, 0.0238037109375, -0.012451171875, -0.0028228759765625, 0.00028228759765625, 0.0028533935546875, -0.0142822265625, 0.00555419921875, 0.00396728515625, 0.0001316070556640625, 0.005218505859375, -0.0286865234375, -0.001953125, 0.0038299560546875, 0.0181884765625, -0.005...

[ 4857, 214, 81866, 5475, 35125, 102158, 146232, 87, 444, 51, 2886, 47, 7413, 9, 151107, 78662, 831, 7026, 2856, 1295, 15490, 91, 16723 ]

[ 0.12890625, 0.040130615234375, 0.2286376953125, 0.2236328125, 0.23046875, 0.172119140625, 0.217529296875, 0.04241943359375, 0.053680419921875, 0.090576171875, 0.1929931640625, 0.04852294921875, 0.11181640625, 0.032257080078125, 0.1163330078125, 0.0648193359375, 0.058197021484375, 0...

embed

46756577_c0

46756577

scala

0

Title: profiling akka dispatchers Problem title: profiling akka dispatchers Tags: scala, jprofiler, akka Problem: profiling akka dispatchers I am looking at akka application using jprofiler. can someone please explain how to read it and what can we deduct from such image ?

profiling akka dispatchers profiling akka dispatchers scala jprofiler akka profiling akka dispatchers I am looking at akka application using jprofiler. can someone please explain how to read it and what can we deduct from such image ?

[ 0.0166015625, 0.001373291015625, -0.00677490234375, -0.0225830078125, -0.01318359375, -0.01141357421875, 0.01434326171875, -0.0031585693359375, -0.0078125, -0.023193359375, 0.00927734375, 0.021240234375, 0.007171630859375, -0.004913330078125, 0.0115966796875, -0.006622314453125, 0.00...

[ 9468, 214, 81866, 58580, 257, 5372, 146232, 1647, 58395, 56, 87, 16487, 99, 38415, 17368, 22008, 22936, 73342, 3642, 47, 12301, 442, 831, 8, 77193, 1295, 6044, 29569 ]

[ 0.2435302734375, 0.0931396484375, 0.193603515625, 0.09661865234375, 0.09381103515625, 0.12249755859375, 0.19921875, 0.11761474609375, 0.267333984375, 0.1563720703125, 0.019317626953125, 0.0823974609375, 0.004062652587890625, 0.1485595703125, 0.0548095703125, 0.00133514404296875, 0.01...

embed

57531778_c0

57531778

scala

0

Title: How to find the max value of multiple columns? Problem title: How to find the max value of multiple columns? Tags: scala, apache-spark-sql, apache-spark Problem: How to find the max value of multiple columns? Code signals: How, Name, Alex, John, Alice, Mark, MaxValue

How to find the max value of multiple columns? How to find the max value of multiple columns? scala apache-spark-sql apache-spark How Name Alex John Alice Mark MaxValue How to find the max value of multiple columns? I am trying to find the maximum value of multiple columns in a Spark dataframe. Each Column has a value ...

[ 0.00439453125, -0.0032196044921875, 0.00102996826171875, 0.0537109375, 0.000732421875, -0.003875732421875, 0.013671875, 0.0034332275390625, 0.005401611328125, 0.00775146484375, -0.004974365234375, -0.002349853515625, 0.01251220703125, -0.00732421875, 0.0016326904296875, -0.024536132812...

[ 11249, 47, 7413, 18389, 34292, 111, 48716, 3365, 316, 1779, 146232, 2241, 1430, 10237, 99247, 15757, 20984, 4939, 66083, 7880, 9920, 856, 50770, 38132, 152810, 2053, 160328, 98423, 233987, 41929, 10644, 1884, 41206, 2320 ]

[ 0.037628173828125, 0.0261383056640625, 0.0894775390625, 0.19775390625, 0.2059326171875, 0.044342041015625, 0.213134765625, 0.168212890625, 0.185302734375, 0.0966796875, 0.1376953125, 0.046661376953125, 0.0635986328125, 0.118896484375, 0.129638671875, 0.040496826171875, 0.126220703125...

embed

44362062_c0

44362062

scala

0

Title: Scala type mismatch [scala] Problem title: Scala type mismatch [scala] Tags: scala Problem: Scala type mismatch [scala] Code signals: Scala, Actors:RDD, name:String, count:Int, Float, count1, Actors.lookup, i_count, count1.isEmpty, count.toFloat, i_count.toFloat, Unit

Scala type mismatch [scala] Scala type mismatch [scala] scala Scala Actors:RDD name:String count:Int Float count1 Actors.lookup i_count count1.isEmpty count.toFloat i_count.toFloat Unit Scala type mismatch [scala] I have the following function and I get the following error Is it caused by divide 0 error? How to solve t...

[ 0.01904296875, 0.0164794921875, -0.01312255859375, 0.000789642333984375, 0.0196533203125, -0.0147705078125, -0.00634765625, 0.0002841949462890625, -0.00897216796875, 0.0218505859375, 0.0064697265625, -0.0223388671875, 0.0086669921875, -0.0093994140625, 0.0218505859375, -0.0286865234375...

[ 152653, 11, 10644, 1239, 98753, 62309, 146232, 185617, 40756, 397, 71713, 214, 54529, 4153, 18, 38699, 257, 418, 64747, 2037, 17, 71013, 5, 164, 134332, 939, 188, 365, 46640, 25632, 32354, 2046, 18499, 143434, 101637, 757, 86869, 2967 ]

[ 0.16552734375, 0.07208251953125, 0.182373046875, 0.1204833984375, 0.2410888671875, 0.15087890625, 0.1739501953125, 0.1270751953125, 0.0908203125, 0.0782470703125, 0.07061767578125, 0.013885498046875, 0.1490478515625, 0.001251220703125, 0.03369140625, 0.146484375, 0.050994873046875, ...

embed

44298716_c0

44298716

scala

0

Title: How to get a flattened object/string output in parquet/spark/scala? Problem title: How to get a flattened object/string output in parquet/spark/scala? Tags: apache-spark, scala Problem: How to get a flattened object/string output in parquet/spark/scala? Code signals: How

How to get a flattened object/string output in parquet/spark/scala? How to get a flattened object/string output in parquet/spark/scala? apache-spark scala How How to get a flattened object/string output in parquet/spark/scala? I have an parquet object where the schema contains nested entries like the following: How can...

[ 0.02587890625, 0.01214599609375, -0.0203857421875, 0.0196533203125, -0.00058746337890625, -0.01708984375, 0.025146484375, -0.003997802734375, -0.0086669921875, 0.028564453125, -0.0011444091796875, -0.014892578125, 0.0010833740234375, -0.0142822265625, -0.033203125, -0.0142822265625, ...

[ 11249, 2046, 49878, 510, 297, 36746, 91693, 140992, 49663, 18, 10237, 62309, 23, 7, 2241, 1430, 146232, 64, 61903, 70541, 8512, 112820, 25632, 17368, 131999, 26818, 150632, 35509, 60875, 42805, 18852 ]

[ 0.0445556640625, 0.0877685546875, 0.2069091796875, 0.18359375, 0.1126708984375, 0.1788330078125, 0.179443359375, 0.205810546875, 0.1326904296875, 0.1221923828125, 0.1214599609375, 0.213623046875, 0.036376953125, 0.0299072265625, 0.03887939453125, 0.0389404296875, 0.18994140625, 0.0...

embed

67903819_c0

67903819

scala

0

Title: Spark (Scala) udf to modify map in column of dataframe Problem title: Spark (Scala) udf to modify map in column of dataframe Tags: scala, apache-spark Problem: Spark (Scala) udf to modify map in column of dataframe Code signals: Spark, Scala, keyword1, keyword2, keyword3

Spark (Scala) udf to modify map in column of dataframe Spark (Scala) udf to modify map in column of dataframe scala apache-spark Spark Scala keyword1 keyword2 keyword3 Spark (Scala) udf to modify map in column of dataframe I have a dataframe that looks something like this. The tfs column is a map of String to Long and ...

[ 0.02197265625, 0.0223388671875, -0.0081787109375, 0.006561279296875, -0.006927490234375, -0.026611328125, -0.00048828125, 0.010009765625, 0.0028076171875, 0.02001953125, -0.01708984375, -0.005279541015625, -0.0025634765625, 0.0152587890625, 0.00372314453125, -0.00531005859375, -0.014...

[ 152810, 294, 62309, 1872, 420, 47, 2811, 40383, 22288, 23, 3365, 316, 19, 2053, 160328, 146232, 2241, 1430, 7, 10237, 152653, 11, 166117, 418, 304, 363, 111, 33342, 1884, 903, 808, 17447, 23351, 214, 14407, 57888, 621, 21917, 9821, 70163,...

[ 0.276611328125, 0.045318603515625, 0.23095703125, 0.1260986328125, 0.2177734375, 0.0889892578125, 0.1844482421875, 0.1783447265625, 0.1986083984375, 0.05059814453125, 0.135986328125, 0.14013671875, 0.06329345703125, 0.1077880859375, 0.244384765625, 0.203125, 0.0775146484375, 0.0853...

embed

49514593_c0

49514593

scala

0

Title: Import for getHourOfDay scala Problem title: Import for getHourOfDay scala Tags: scala Problem: Import for getHourOfDay scala I have a scala function to test the hours of the day, I used the method getHourOfDay and I added the concerned import, but still display an error.

Import for getHourOfDay scala Import for getHourOfDay scala scala Import for getHourOfDay scala I have a scala function to test the hours of the day, I used the method getHourOfDay and I added the concerned import, but still display an error.

[ 0.0184326171875, -0.02392578125, 0.00494384765625, 0.0157470703125, -0.01312255859375, -0.029296875, 0.01080322265625, 0.010986328125, -0.008056640625, -0.004608154296875, 0.005096435546875, -0.031005859375, -0.0133056640625, 0.004730224609375, 0.0208740234375, -0.02783203125, 0.0116...

[ 92966, 2046, 11193, 474, 132887, 97141, 146232, 100, 32354, 3034, 21974, 111, 5155, 55300, 49814, 142837, 24927, 7464, 44116, 18499 ]

[ 0.2098388671875, 0.0791015625, 0.12152099609375, 0.1400146484375, 0.1754150390625, 0.17041015625, 0.2305908203125, 0.002147674560546875, 0.10894775390625, 0.156982421875, 0.1923828125, 0.05902099609375, 0.1146240234375, 0.0941162109375, 0.0748291015625, 0.037750244140625, 0.215332031...

embed

47743141_c0

47743141

scala

0

Title: Operate within a group by and populate additional columns Problem title: Operate within a group by and populate additional columns Tags: scala, apache-spark-sql Problem: Operate within a group by and populate additional columns Code signals: Operate, field1, field2, Amount

Operate within a group by and populate additional columns Operate within a group by and populate additional columns scala apache-spark-sql Operate field1 field2 Amount Operate within a group by and populate additional columns I have a dataframes as below: I need to convert it to : Please advise!

[ 0.0196533203125, -0.01422119140625, -0.0302734375, 0.0281982421875, -0.0086669921875, 0.00131988525390625, 0.01336669921875, 0.02001953125, 0.01226806640625, 0.0213623046875, -0.0042724609375, 0.0030364990234375, -0.00139617919921875, -0.020751953125, -0.0074462890625, 0.00506591796875...

[ 16556, 67, 28032, 10, 21115, 390, 136, 27623, 78301, 3365, 316, 146232, 2241, 1430, 10237, 99247, 44457, 418, 304, 121147, 1779, 2053, 160328, 7, 35064, 3871, 47, 96760, 442, 152, 30607, 115992 ]

[ 0.2239990234375, 0.080322265625, 0.1796875, 0.01483154296875, 0.196533203125, 0.138671875, 0.06231689453125, 0.1439208984375, 0.1361083984375, 0.1612548828125, 0.1737060546875, 0.2236328125, 0.0745849609375, 0.06329345703125, 0.2027587890625, 0.2203369140625, 0.196533203125, 0.0390...

embed

48821212_c0

48821212

scala

0

Title: Filtering on multiple columns in Spark dataframes Problem title: Filtering on multiple columns in Spark dataframes Tags: apache-spark, scala, apache-spark-sql Problem: Filtering on multiple columns in Spark dataframes Code signals: Filtering, Spark, Seq, df.show, df.filter

Filtering on multiple columns in Spark dataframes Filtering on multiple columns in Spark dataframes apache-spark scala apache-spark-sql Filtering Spark Seq df.show df.filter Filtering on multiple columns in Spark dataframes Suppose I have a dataframe in Spark as shown below - Here is how it looks like - A,B and C are t...

[ 0.01531982421875, 0.0213623046875, -0.0185546875, 0.0220947265625, -0.00225830078125, -0.021240234375, 0.0198974609375, -0.00506591796875, 0.022216796875, 0.035888671875, -0.01531982421875, -0.019287109375, -0.00836181640625, 0.0233154296875, -0.0235595703125, 0.006134033203125, 0.01...

[ 128896, 214, 98, 48716, 3365, 316, 1779, 152810, 2053, 160328, 2241, 1430, 10237, 146232, 99247, 503, 864, 420, 31374, 120337, 23, 33342, 1884, 571, 136, 153603, 86723, 757, 33636, 112199, 169424, 8353, 363, 45831, 382, 162515, 3444, 46312, ...

[ 0.283447265625, 0.0165252685546875, 0.1043701171875, 0.1778564453125, 0.170654296875, 0.1771240234375, 0.048309326171875, 0.29638671875, 0.1192626953125, 0.222900390625, 0.060943603515625, 0.020477294921875, 0.1844482421875, 0.1485595703125, 0.1297607421875, 0.0048828125, 0.128417968...

embed

11695990_c0

11695990

scala

0

Title: Creating a new map from json JsObject Problem title: Creating a new map from json JsObject Tags: scala Problem: Creating a new map from json JsObject Code signals: json, Creating, JsObject, TEMPERATURE_C, TEMPERATURE_F, json.fields.foreach, obj.as, fields.map, Map, value.as

Creating a new map from json JsObject Creating a new map from json JsObject scala json Creating JsObject TEMPERATURE_C TEMPERATURE_F json.fields.foreach obj.as fields.map Map value.as Creating a new map from json JsObject I have the following json string: I would like to iterate though this object and create a new json...

[ 0.00167083740234375, 0.003570556640625, -0.018798828125, -0.00946044921875, -0.01123046875, -0.0213623046875, -0.0012969970703125, 0.01220703125, 0.0146484375, 0.0031890869140625, -0.007720947265625, 0.00142669677734375, 0.021484375, 0.00885009765625, 0.015625, -0.0201416015625, -0.0...

[ 56781, 1916, 3525, 22288, 1295, 1647, 1681, 821, 7, 46471, 75161, 146232, 85895, 30425, 284, 165471, 441, 919, 28394, 89700, 934, 995, 170, 162, 44457, 62346, 42719, 34292, 765, 70, 25632, 79315, 2806, 1884, 8560, 67, 21208, 903, 36746, 2...

[ 0.1619873046875, 0.047698974609375, 0.1494140625, 0.2347412109375, 0.10565185546875, 0.1148681640625, 0.209716796875, 0.163330078125, 0.099609375, 0.162353515625, 0.1434326171875, 0.1275634765625, 0.1085205078125, 0.1163330078125, 0.05572509765625, 0.0299072265625, 0.014251708984375,...

embed

60973046_c0

60973046

scala

0

Title: How to use split function in scala Problem title: How to use split function in scala Tags: scala, split Problem: How to use split function in scala I have String val s1 = "dog#$&cat#$&cow#$&snak" val s2 = s1.split() how to split string into words Code signals: How, s1.split

How to use split function in scala How to use split function in scala scala split How s1.split How to use split function in scala I have String how to split string into words

[ 0.00116729736328125, -0.00531005859375, -0.017578125, 0.00823974609375, -0.01611328125, 0.0057373046875, 0.0014801025390625, 0.00408935546875, 0.02587890625, 0.00055694580078125, 0.0111083984375, -0.01123046875, -0.00927734375, -0.004852294921875, 0.0272216796875, -0.000155448913574218...

[ 11249, 4527, 65450, 32354, 23, 146232, 47, 91, 418, 7008, 4353, 23351, 3642, 79315, 3934, 34153 ]

[ 0.0274810791015625, 0.11224365234375, 0.278564453125, 0.18896484375, 0.023681640625, 0.2305908203125, 0.03216552734375, 0.05908203125, 0.0528564453125, 0.07305908203125, 0.2208251953125, 0.113525390625, 0.005771636962890625, 0.1748046875, 0.06951904296875, 0.14697265625 ]

embed

66720397_c0

66720397

scala

0

Title: Scala 2: generic function that returns another generic function Problem title: Scala 2: generic function that returns another generic function Tags: scala Problem: Scala 2: generic function that returns another generic function Code signals: Scala, gen1, Compile, Compilation

Scala 2: generic function that returns another generic function Scala 2: generic function that returns another generic function scala Scala gen1 Compile Compilation Scala 2: generic function that returns another generic function How can you return a generic function from another generic function? This doesn't work But ...

[ 0.00921630859375, 0.00933837890625, -0.0269775390625, 0.000972747802734375, 0.01165771484375, 0.007354736328125, -0.009033203125, -0.01458740234375, 0.006988525390625, -0.016845703125, -0.01177978515625, -0.0185546875, -0.00139617919921875, 0.0036163330078125, 0.0064697265625, -0.00095...

[ 152653, 11, 15573, 189534, 32354, 30646, 15700, 146232, 9226, 418, 15612, 1340, 831, 10, 1295, 18, 4488, 3444, 61924, 17932, 23, 5117, 1884, 7722, 212059, 31577, 183234, 54, 15145, 25, 7, 209806, 442, 116 ]

[ 0.14794921875, 0.0938720703125, 0.1649169921875, 0.2288818359375, 0.18603515625, 0.1923828125, 0.10137939453125, 0.1695556640625, 0.0797119140625, 0.022735595703125, 0.03582763671875, 0.05865478515625, 0.01214599609375, 0.00750732421875, 0.1055908203125, 0.013702392578125, 0.04544067...

embed

40465138_c0

40465138

scala

0

Title: how to catch spark exception and do something? Problem title: how to catch spark exception and do something? Tags: hadoop, apache-spark, scala Problem: how to catch spark exception and do something? Code signals: output, item.map, Exception, e.getClass, e.getMessage, mc.close

how to catch spark exception and do something? how to catch spark exception and do something? hadoop apache-spark scala output item.map Exception e.getClass e.getMessage mc.close how to catch spark exception and do something? how to catch a exception and do something in catch block when I save data into hdfs fail. like...

[ 0.004058837890625, 0.047119140625, -0.01123046875, -0.01519775390625, 0.0159912109375, 0.0103759765625, 0.0135498046875, -0.0027923583984375, 0.00131988525390625, 0.01141357421875, -0.006317138671875, -0.0125732421875, 0.001800537109375, 0.00372314453125, 0.019775390625, -0.02294921875...

[ 3642, 105556, 131999, 131527, 136, 54, 9844, 256, 246, 2146, 2241, 1430, 10237, 146232, 140992, 35735, 62346, 5443, 63928, 3794, 140803, 155648, 47, 46389, 30098, 2053, 3934, 26488, 17447, 35782, 3444, 28350, 10778, 22631, 104250 ]

[ 0.049468994140625, 0.21630859375, 0.25341796875, 0.2607421875, 0.057891845703125, 0.0679931640625, 0.0634765625, 0.07037353515625, 0.053802490234375, 0.140869140625, 0.06524658203125, 0.058685302734375, 0.1717529296875, 0.190673828125, 0.0908203125, 0.09857177734375, 0.0966796875, ...

embed

60257446_c0

60257446

scala

0

Title: How correctly filter column with data separated by a comma? Problem title: How correctly filter column with data separated by a comma? Tags: dataframe, apache-spark, scala Problem: How correctly filter column with data separated by a comma? Code signals: How, Array, df.filter

How correctly filter column with data separated by a comma? How correctly filter column with data separated by a comma? dataframe apache-spark scala How Array df.filter How correctly filter column with data separated by a comma? Let's say I have such DataFrame. Also, I have an array with numbers: var array = Array(200,...

[ 0.00958251953125, -0.003753662109375, -0.01483154296875, 0.0172119140625, -0.005096435546875, -0.00750732421875, 0.03466796875, -0.00262451171875, 0.022216796875, 0.026123046875, -0.01904296875, -0.0157470703125, 0.00408935546875, 0.0024261474609375, -0.0234375, -0.00830078125, 0.024...

[ 11249, 26785, 538, 46312, 3365, 316, 19, 678, 2053, 84797, 71, 390, 10, 96117, 160328, 2241, 1430, 10237, 146232, 69253, 53, 104, 420, 120337, 6044, 11809, 108386, 282, 10298, 101935, 285, 5955, 14929, 16750, 18151, 18, 4488, 11737, 30646, ...

[ 0.05853271484375, 0.1483154296875, 0.026123046875, 0.263671875, 0.162109375, 0.18408203125, 0.0545654296875, 0.1109619140625, 0.170166015625, 0.1737060546875, 0.092529296875, 0.0771484375, 0.04791259765625, 0.26318359375, 0.1622314453125, 0.06591796875, 0.0789794921875, 0.144287109...

embed

49634517_c0

49634517

scala

0

Title: Choose directory for package Problem title: Choose directory for package Tags: scala, sbt Problem: Choose directory for package When I execute sbt package It puts my jar into /target/scala-2.11 I want it to be in just /target How do I do this? Code signals: Choose, scala-2.11

Choose directory for package Choose directory for package scala sbt Choose scala-2.11 Choose directory for package When I execute It puts my jar into I want it to be in just How do I do this?

[ 0.01611328125, -0.00537109375, -0.00921630859375, -0.0014190673828125, -0.0286865234375, 0.013916015625, -0.004669189453125, 0.01556396484375, 0.000675201416015625, 0.0322265625, 0.00506591796875, 0.002044677734375, -0.01080322265625, 0.0026092529296875, 0.006134033203125, -0.012207031...

[ 211525, 14364, 53, 100, 98169, 146232, 91, 16723, 5428, 1662, 71924, 13, 1650, 3884, 759, 35125, 3934, 87, 3444, 442, 47, 186, 23, 1660, 54, 903 ]

[ 0.1561279296875, 0.2005615234375, 0.09783935546875, 0.0855712890625, 0.2337646484375, 0.2454833984375, 0.0251617431640625, 0.1590576171875, 0.06793212890625, 0.12164306640625, 0.1953125, 0.041839599609375, 0.0294036865234375, 0.11456298828125, 0.04766845703125, 0.2305908203125, 0.159...

embed

38733276_c0

38733276

scala

0

Title: How Scala make a series for type Long? Problem title: How Scala make a series for type Long? Tags: scala Problem: How Scala make a series for type Long? it is ok when 2 to 9999 but it is wrong when 2l to 9999999999l ,where l stands for type Long. Code signals: How, Scala, Long

How Scala make a series for type Long? How Scala make a series for type Long? scala How Scala Long How Scala make a series for type Long? it is ok when 2 to 9999 but it is wrong when 2l to 9999999999l ,where l stands for type Long.

[ 0.02001953125, 0.005767822265625, -0.0235595703125, -0.006378173828125, -0.01483154296875, -0.0103759765625, -0.0107421875, 0.019775390625, -0.01031494140625, 0.01544189453125, -0.007781982421875, -0.01025390625, 0.02783203125, 0.002349853515625, 0.0289306640625, 0.00067901611328125, ...

[ 11249, 152653, 11, 3249, 10, 36549, 100, 10644, 14407, 146232, 83, 3664, 3229, 116, 47, 483, 65040, 1284, 44691, 141, 96, 9157 ]

[ 0.08856201171875, 0.2296142578125, 0.18310546875, 0.1146240234375, 0.0682373046875, 0.212646484375, 0.05267333984375, 0.2093505859375, 0.182373046875, 0.22509765625, 0.0305633544921875, 0.14794921875, 0.0592041015625, 0.114990234375, 0.08843994140625, 0.09521484375, 0.1776123046875, ...

embed

42798697_c0

42798697

scala

0

Title: How to combine two spark data frames in sorted order Problem title: How to combine two spark data frames in sorted order Tags: apache-spark-sql, sorting, scala, apache-spark Problem: How to combine two spark data frames in sorted order Code signals: How, Seq, a.show, b.show, c.show

How to combine two spark data frames in sorted order How to combine two spark data frames in sorted order apache-spark-sql sorting scala apache-spark How Seq a.show b.show c.show How to combine two spark data frames in sorted order I want to combine two dataframes a and b into a dataframe c that is sorted on a column. ...

[ 0.0302734375, 0.0289306640625, -0.01324462890625, 0.0201416015625, -0.0003814697265625, -0.0042724609375, 0.0142822265625, -0.006011962890625, -0.000823974609375, 0.00433349609375, -0.00823974609375, 0.0021209716796875, 0.00445556640625, -0.0081787109375, -0.011962890625, -0.0242919921...

[ 11249, 70163, 6626, 131999, 2053, 2674, 90, 17497, 71, 12989, 47, 23, 2241, 1430, 7, 10237, 99247, 12096, 146232, 503, 864, 10, 31374, 876, 501, 3444, 160328, 136, 3934, 98, 3365, 316, 16750 ]

[ 0.062103271484375, 0.231201171875, 0.1444091796875, 0.26025390625, 0.16552734375, 0.189453125, 0.074951171875, 0.18408203125, 0.08636474609375, 0.1583251953125, 0.02093505859375, 0.013763427734375, 0.06103515625, 0.0687255859375, 0.0341796875, 0.191162109375, 0.1561279296875, 0.186...

embed

47635971_c2

47635971

scala

2

akka-stream_2.12:2.5.6, com.typesafe.play:play-streams_2.12:2.6.7, com.typesafe.akka:akka-http-core_2.12:10.0.10, com.typesafe.akka:akka-actor_2.12:2.5.6, com.typesafe.akka:akka-slf4j_2.12:2.5.6, com.typesafe.akka:akka-parsing_2.12:10.0.10, org.reactivemongo:reactivemongo_2.12:0.12.6, Run

[ -0.0213623046875, 0.018310546875, 0.000560760498046875, 0.00799560546875, 0.00848388671875, 0.00189208984375, -0.00836181640625, -0.004119873046875, 0.00102996826171875, -0.007781982421875, 0.0203857421875, -0.0047607421875, 0.015869140625, 0.0172119140625, 0.023193359375, 0.0080566406...

[ 81866, 9, 86429, 454, 5442, 1530, 12, 124525, 4, 375, 5, 50986, 115840, 20706, 7, 178325, 344, 161, 5475, 30854, 19721, 99929, 963, 11, 18770, 17463, 617, 170, 2500, 6953, 30910, 107, 71232, 31525, 102014, 154784, 28398 ]

[ 0.2724609375, 0.050872802734375, 0.25439453125, 0.040496826171875, 0.1407470703125, 0.2220458984375, 0.0897216796875, 0.226806640625, 0.06475830078125, 0.0947265625, 0.08148193359375, 0.1663818359375, 0.25537109375, 0.1893310546875, 0.0589599609375, 0.1588134765625, 0.1220703125, 0...

embed

67033168_c1

67033168

scala

1

BT problem, so I can open a bug? How can I get additional information on why the build hangs, so I can try to avoid the problem? Code signals: Scala, SBT, Java, github.com, backup.git, e8bdc8a1e878bd15129f08b20df51d54ebd86e4a, b273a531c19ad68600026429643e13c6d2761c16, Docker, build-app.sh

[ 0.0072021484375, 0.03515625, -0.00360107421875, -0.005279541015625, -0.01422119140625, 0.00836181640625, 0.00170135498046875, -0.0054931640625, -0.0008087158203125, 0.0072021484375, -0.00921630859375, -0.034912109375, 0.0091552734375, 0.01397705078125, 0.00125885009765625, -0.006652832...

[ 66145, 2967, 221, 831, 9803, 54608, 2046, 78301, 4677, 98, 15400, 70, 45367, 10756, 7, 9790, 71864, 28864, 26073, 152653, 11, 159, 52681, 41925, 62270, 32102, 277, 126502, 15769, 200439, 117595, 420, 34145, 15276, 3768, 5016, 712, 133572, 2...

[ 0.2425537109375, 0.162841796875, 0.012847900390625, 0.050445556640625, 0.12939453125, 0.1766357421875, 0.0565185546875, 0.07421875, 0.1190185546875, 0.00390625, 0.109619140625, 0.03753662109375, 0.2335205078125, 0.236083984375, 0.1197509765625, 0.04132080078125, 0.1746826171875, 0....

embed

2728959_c0

2728959

scala

0

Title: When are singleton objects constructed? Problem title: When are singleton objects constructed? Tags: scala Problem: When are singleton objects constructed? In object O { // construction code and member initialization } construct, when is this code going to be run? Code signals: When

When are singleton objects constructed? When are singleton objects constructed? scala When When are singleton objects constructed? In construct, when is this code going to be run?

[ 0.0167236328125, -0.0120849609375, 0.0125732421875, -0.00836181640625, -0.0027618408203125, -0.00024127960205078125, 0.015625, 0.013916015625, 0.000209808349609375, 0.019775390625, -0.0186767578125, -0.048583984375, 0.011962890625, -0.00482177734375, -0.0042724609375, -0.00958251953125...

[ 14847, 621, 11001, 1507, 36746, 7, 64549, 297, 146232, 3229, 903, 18151, 7730, 11675 ]

[ 0.1138916015625, 0.07257080078125, 0.202392578125, 0.2310791015625, 0.2098388671875, 0.056884765625, 0.2325439453125, 0.1175537109375, 0.20458984375, 0.0888671875, 0.02044677734375, 0.1739501953125, 0.003662109375, 0.1387939453125 ]

embed