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1a93b79d-931f-420b-af08-13b30c215908
toUInt32OrNull . toUInt64 {#touint64} Converts an input value to a value of type UInt64 . Throws an exception in case of an error. Syntax sql toUInt64(expr) Arguments expr β€” Expression returning a number or a string representation of a number. Expression . Supported arguments: - Values or string ...
{"source_file": "type-conversion-functions.md"}
[ 0.0415244996547699, -0.012093623168766499, -0.05739172548055649, 0.031811781227588654, -0.06776681542396545, -0.006789781153202057, 0.05310248211026192, 0.047641072422266006, -0.011248277500271797, 0.011018015444278717, -0.03256290778517723, -0.07865823060274124, 0.006854006089270115, -0.0...
446c25a4-ce89-4c56-b2e1-546f8224401b
:::note If the input value cannot be represented within the bounds of UInt64 , overflow or underflow of the result occurs. This is not considered an error. ::: Returned value 64-bit unsigned integer value if successful, otherwise NULL . UInt64 / NULL . :::note The function uses rounding towards zero , m...
{"source_file": "type-conversion-functions.md"}
[ 0.03731410577893257, 0.045551903545856476, -0.08457765728235245, 0.029042473062872887, -0.0907464250922203, 0.013633825816214085, 0.017343441024422646, 0.060158923268318176, -0.017484761774539948, 0.012671234086155891, 0.026389187201857567, -0.04689069092273712, 0.03733162209391594, -0.027...
c9ac4dfc-14e4-474a-9ccb-a916f1c0b969
Unsupported arguments: - String representations of Float32/64 values, including NaN and Inf . - String representations of binary and hexadecimal values, e.g. SELECT toUInt128('0xc0fe'); . :::note If the input value cannot be represented within the bounds of UInt128 , the result over or under flows. This is not c...
{"source_file": "type-conversion-functions.md"}
[ -0.03572045639157295, -0.007452667690813541, -0.09708590805530548, -0.02224319614470005, -0.0942721739411354, -0.048024337738752365, 0.055887989699840546, 0.035430289804935455, -0.029495490714907646, -0.017798855900764465, -0.0320611335337162, -0.06672540307044983, -0.02678872086107731, -0...
fa3d5df8-e27e-4fba-9cdf-cc739eb6ee19
128-bit unsigned integer value if successful, otherwise NULL . UInt128 / NULL . :::note The function uses rounding towards zero , meaning it truncates fractional digits of numbers. ::: Example Query: sql SELECT toUInt128OrNull('128'), toUInt128OrNull('abc') FORMAT Vertical; Result: response R...
{"source_file": "type-conversion-functions.md"}
[ -0.014498609118163586, 0.0549965538084507, -0.08489032089710236, 0.027604056522250175, -0.09827534109354019, 0.02686283178627491, 0.06577225029468536, 0.08819124102592468, -0.03384925797581673, -0.01319891307502985, -0.018349986523389816, -0.049014341086149216, 0.013583197258412838, -0.013...
6e639616-20e7-47d7-9385-1aa9ec043d2d
:::note If the input value cannot be represented within the bounds of UInt256 , the result over or under flows. This is not considered an error. ::: Returned value 256-bit unsigned integer value. Int256 . :::note The function uses rounding towards zero , meaning it truncates fractional digits of numbers. :...
{"source_file": "type-conversion-functions.md"}
[ -0.014881783165037632, -0.022871797904372215, -0.08354609459638596, 0.028353579342365265, -0.07354146987199783, -0.06301148980855942, 0.06950099021196365, 0.005154894664883614, -0.012802865356206894, -0.028487352654337883, -0.00962084624916315, -0.04014132544398308, 0.010829021222889423, -...
c34a4be0-df25-4b0a-971a-0467259e43bd
Result: response Row 1: ────── toUInt256OrNull('256'): 256 toUInt256OrNull('abc'): ᴺᡁᴸᴸ See also toUInt256 . toUInt256OrZero . toUInt256OrDefault . toUInt256OrDefault {#touint256ordefault} Like toUInt256 , this function converts an input value to a value of type UInt256 but returns the default valu...
{"source_file": "type-conversion-functions.md"}
[ -0.0015404478181153536, -0.038038481026887894, -0.08339665085077286, 0.04487711936235428, -0.10096704959869385, 0.004359452053904533, 0.08062195032835007, 0.022679220885038376, -0.05592004582285881, 0.0021005456801503897, 0.019452201202511787, -0.06555657833814621, 0.042222145944833755, -0...
bcc36fe1-7c6d-4f7a-9a9b-8e23dbbfcb00
See also toFloat32OrZero . toFloat32OrNull . toFloat32OrDefault . toFloat32OrZero {#tofloat32orzero} Like toFloat32 , this function converts an input value to a value of type Float32 but returns 0 in case of an error. Syntax sql toFloat32OrZero(x) Arguments x β€” A String representation of a...
{"source_file": "type-conversion-functions.md"}
[ 0.05932240933179855, -0.021244218572974205, -0.108571857213974, 0.04274049028754234, -0.04418244957923889, -0.0026132476050406694, 0.05194547772407532, 0.03532138839364052, -0.02788240648806095, -0.024391787126660347, -0.04887320101261139, -0.1583203226327896, 0.021053120493888855, 0.02773...
ee932918-5af0-4041-b99d-b9a2cb0ed291
Returned value 32-bit Float value if successful, otherwise returns the default value if passed or 0 if not. Float32 . Example Query: sql SELECT toFloat32OrDefault('8', CAST('0', 'Float32')), toFloat32OrDefault('abc', CAST('0', 'Float32')) FORMAT Vertical; Result: response Row 1: ────── toFloa...
{"source_file": "type-conversion-functions.md"}
[ 0.04165717959403992, -0.01137965265661478, -0.09170440584421158, 0.051064129918813705, -0.05275777354836464, -0.025973951444029808, 0.07087831199169159, 0.04483768716454506, -0.026055358350276947, 0.0016159198712557554, -0.027674634009599686, -0.12125419080257416, 0.0046236105263233185, 0....
7f633035-15a8-4218-af7d-c6e3e6fe6559
Returned value 64-bit Float value if successful, otherwise \N . Float64 . Example Query: sql SELECT toFloat64OrNull('42.7'), toFloat64OrNull('abc') FORMAT Vertical; Result: response Row 1: ────── toFloat64OrNull('42.7'): 42.7 toFloat64OrNull('abc'): ᴺᡁᴸᴸ See also toFloat64 . toFloat64...
{"source_file": "type-conversion-functions.md"}
[ 0.047373753041028976, 0.011522959917783737, -0.06971390545368195, 0.059470873326063156, -0.05791525915265083, -0.01091083511710167, 0.03578953817486763, 0.05211373418569565, -0.03727710247039795, 0.004440201446413994, -0.015149257145822048, -0.10210749506950378, 0.009367816150188446, 0.014...
7854671f-489d-4a80-9c3e-83f17b65670f
Syntax sql toBFloat16OrZero(x) Arguments x β€” A String representation of a number. String . Supported arguments: String representations of numeric values. Unsupported arguments (return 0 ): String representations of binary and hexadecimal values. Numeric values. Returned value 16-bit...
{"source_file": "type-conversion-functions.md"}
[ 0.07794695347547531, -0.003356197150424123, -0.1409878432750702, -0.027234183624386787, -0.04152454063296318, -0.01027920376509428, 0.07864070683717728, 0.03951304778456688, -0.05822686851024628, -0.011030995287001133, -0.0609847754240036, -0.09091495722532272, -0.027652105316519737, -0.01...
0579750e-1bd5-4619-99a8-d478f1f13564
response β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€x─┬─toTypeName(toDate('2022-12-30 01:02:03'))─┐ β”‚ 2022-12-30 β”‚ Date β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ If the argument is a number and looks like a UNIX timestamp (is greater than 65535), it is interpreted as a DateTime , then truncat...
{"source_file": "type-conversion-functions.md"}
[ 0.05514129623770714, 0.012570692226290703, 0.0015588946407660842, 0.022389007732272148, -0.01103124674409628, -0.07592325657606125, -0.036015357822179794, 0.010896120220422745, -0.01768370345234871, 0.05302363634109497, -0.013934055343270302, -0.11051897704601288, -0.03985612839460373, 0.0...
d7e1dd10-d6dd-4c51-b2d8-8b38e533797a
Example Query: sql SELECT toDateOrNull('2022-12-30'), toDateOrNull(''); Result: response β”Œβ”€toDateOrNull('2022-12-30')─┬─toDateOrNull('')─┐ β”‚ 2022-12-30 β”‚ ᴺᡁᴸᴸ β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ toDateOrDefault {#todateordefault} Like toDate but if unsuccessful,...
{"source_file": "type-conversion-functions.md"}
[ 0.012510137632489204, -0.009687935002148151, 0.023110654205083847, 0.055267807096242905, -0.019563432782888412, -0.0196291022002697, 0.07495933026075363, 0.0688689798116684, -0.01751934178173542, 0.031644050031900406, -0.02044752798974514, -0.10860752314329147, -0.05231299623847008, 0.0276...
b6759ff4-11c9-455b-894c-893a4b8bc3ea
toDateTimeOrDefault {#todatetimeordefault} Like toDateTime but if unsuccessful, returns a default value which is either the third argument (if specified), or otherwise the lower boundary of DateTime . Syntax sql toDateTimeOrDefault(expr [, time_zone [, default_value]]) Example Query: sql SELECT toDateTim...
{"source_file": "type-conversion-functions.md"}
[ -0.0029042272362858057, 0.007528895512223244, -0.011533990502357483, 0.02030596323311329, 0.04987327754497528, -0.0270627923309803, 0.06918121129274368, 0.027369262650609016, -0.03576740249991417, 0.012356352992355824, -0.06557580828666687, -0.13139976561069489, -0.06012377515435219, 0.048...
370547cf-e44f-4d14-8fa2-b887eac6fb08
toDate32OrDefault {#todate32ordefault} Converts the argument to the Date32 data type. If the value is outside the range, toDate32OrDefault returns the lower border value supported by Date32 . If the argument has Date type, it's borders are taken into account. Returns default value if an invalid argument is rec...
{"source_file": "type-conversion-functions.md"}
[ 0.03355613350868225, 0.01953968219459057, -0.016932407394051552, 0.06775535643100739, -0.004583093803375959, 0.004798792768269777, 0.07333707809448242, 0.04103480651974678, -0.06510695070028305, 0.015890808776021004, -0.04113851860165596, -0.12995676696300507, -0.04822592809796333, 0.03445...
f23d37c9-ebcd-43ed-acb8-384d6f5edc96
toDateTime64OrZero {#todatetime64orzero} Like toDateTime64 , this function converts an input value to a value of type DateTime64 but returns the min value of DateTime64 if an invalid argument is received. Syntax sql toDateTime64OrZero(expr, scale, [timezone]) Arguments expr β€” The value. String , UIn...
{"source_file": "type-conversion-functions.md"}
[ 0.034723762422800064, 0.03662559390068054, -0.050628043711185455, 0.05912911891937256, -0.046343762427568436, -0.0010574812768027186, 0.0318564772605896, 0.05463868007063866, -0.01715938188135624, -0.021906962618231773, -0.04983248561620712, -0.15563105046749115, -0.05557551234960556, 0.04...
5c1f260b-c876-4574-8445-7f7de35ddd02
Returned value A calendar date and time of day, with sub-second precision, otherwise the minimum value of DateTime64 or the default value if provided. DateTime64 . Example Query: sql SELECT toDateTime64OrDefault('1976-10-18 00:00:00 30', 3) AS invalid_arg, toDateTime64OrDefault('1976-10-18 00:0...
{"source_file": "type-conversion-functions.md"}
[ 0.002179368631914258, 0.035001277923583984, -0.03758278489112854, 0.07356607913970947, -0.06220002844929695, -0.015678180381655693, 0.048335034400224686, 0.06187698245048523, -0.020797137171030045, 0.006697625387459993, -0.05035007745027542, -0.15849831700325012, -0.02249925583600998, 0.05...
5133c540-4000-43bf-96d3-3a6480b2bc90
Syntax sql toDecimal32OrZero(expr, S) Arguments expr β€” A String representation of a number. String . S β€” Scale parameter between 0 and 9, specifying how many digits the fractional part of a number can have. UInt8 . Supported arguments: - String representations of type (U)Int8/16/32/64/128/256. - Strin...
{"source_file": "type-conversion-functions.md"}
[ -0.013803025707602501, -0.031398314982652664, -0.08520284295082092, -0.0037279282696545124, -0.019123433157801628, -0.06870890408754349, 0.06689323484897614, 0.10762102901935577, -0.0652480199933052, -0.007324068807065487, -0.045248620212078094, -0.15000730752944946, 0.0010210460750386119, ...
63104d0e-eedb-4133-bf72-8c278a819fa3
See also toDecimal32 . toDecimal32OrZero . toDecimal32OrDefault . toDecimal32OrDefault {#todecimal32ordefault} Like toDecimal32 , this function converts an input value to a value of type Decimal(9, S) but returns the default value in case of an error. Syntax sql toDecimal32OrDefault(expr, S[, defau...
{"source_file": "type-conversion-functions.md"}
[ 0.02476394549012184, -0.03502827137708664, -0.08098627626895905, 0.0039625465869903564, -0.05799735337495804, -0.019582930952310562, 0.05668233335018158, 0.10467275232076645, -0.0843280553817749, -0.01668539084494114, -0.05118987709283829, -0.17043690383434296, -0.041896361857652664, 0.049...
d6f30c90-45c3-46a9-8672-375e813280a5
:::note An overflow can occur if the value of expr exceeds the bounds of Decimal64 : ( -1 * 10^(18 - S), 1 * 10^(18 - S) ) . Excessive digits in a fraction are discarded (not rounded). Excessive digits in the integer part will lead to an exception. ::: :::warning Conversions drop extra digits and could operate in...
{"source_file": "type-conversion-functions.md"}
[ -0.011832981370389462, 0.046385057270526886, 0.005002192221581936, -0.013407007791101933, -0.039802614599466324, -0.09061925113201141, 0.052298013120889664, 0.07005491107702255, -0.0036231449339538813, 0.038911815732717514, -0.03927842527627945, -0.13504202663898468, 0.01593373343348503, -...
3178b206-fd99-414f-969f-58f352897c59
Syntax sql toDecimal64OrNull(expr, S) Arguments expr β€” A String representation of a number. String . S β€” Scale parameter between 0 and 18, specifying how many digits the fractional part of a number can have. UInt8 . Supported arguments: - String representations of type (U)Int8/16/32/64/128/256. - Stri...
{"source_file": "type-conversion-functions.md"}
[ 0.023577233776450157, 0.003308602375909686, -0.06023300066590309, 0.009637683629989624, -0.026585282757878304, -0.058984167873859406, 0.055643659085035324, 0.1038256362080574, -0.07203496247529984, 0.006364861037582159, -0.018292859196662903, -0.11094004660844803, 0.014699515886604786, 0.0...
a294bb41-2f15-47eb-b7ed-94dda570081d
::: Returned value Value of type Decimal(18, S) if successful, otherwise returns the default value if passed or 0 if not. Decimal64(S) . Examples Query: sql SELECT toDecimal64OrDefault(toString(0.0001), 18) AS a, toTypeName(a), toDecimal64OrDefault('Inf', 0, CAST('-1', 'Decimal64(0)')) AS...
{"source_file": "type-conversion-functions.md"}
[ 0.015500170178711414, 0.03528853505849838, -0.04252122715115547, 0.03719687461853027, -0.07699324935674667, -0.007419817615300417, 0.09610533714294434, 0.08291751146316528, -0.01897117868065834, 0.03508731722831726, -0.01728084683418274, -0.12867189943790436, 0.022568685933947563, 0.006688...
693e321d-b49d-4fbd-819f-decb1dc527e0
Arguments expr β€” A String representation of a number. String . S β€” Scale parameter between 0 and 38, specifying how many digits the fractional part of a number can have. UInt8 . Supported arguments: - String representations of type (U)Int8/16/32/64/128/256. - String representations of type Float32/64. U...
{"source_file": "type-conversion-functions.md"}
[ -0.01142551377415657, -0.0035623665899038315, -0.07916844636201859, -0.0067912740632891655, -0.029219046235084534, -0.046125512570142746, 0.07647740095853806, 0.1390107125043869, -0.052430231124162674, -0.010824967175722122, -0.01606643944978714, -0.10095693916082382, 0.01758357509970665, ...
6afcd90c-5a92-449c-9c8d-57a22e13952f
See also toDecimal128 . toDecimal128OrZero . toDecimal128OrDefault . toDecimal128OrDefault {#todecimal128ordefault} Like toDecimal128 , this function converts an input value to a value of type Decimal(38, S) but returns the default value in case of an error. Syntax sql toDecimal128OrDefault(expr, S...
{"source_file": "type-conversion-functions.md"}
[ 0.015072811394929886, -0.01605750434100628, -0.06799406558275223, 0.005042990203946829, -0.07160074263811111, -0.017817538231611252, 0.05413225665688515, 0.10435035824775696, -0.08315198123455048, -0.012122317217290401, -0.0316159650683403, -0.1355942338705063, -0.03708486258983612, 0.0466...
24da146f-18fd-4463-9242-3aafb38d434b
Supported arguments: - Values or string representations of type (U)Int8/16/32/64/128/256. - Values or string representations of type Float32/64. Unsupported arguments: - Values or string representations of Float32/64 values NaN and Inf (case-insensitive). - String representations of binary and hexadecimal values,...
{"source_file": "type-conversion-functions.md"}
[ -0.022131692618131638, 0.010747366584837437, -0.02173086255788803, -0.044755954295396805, 0.02644556201994419, -0.1117502972483635, 0.03978348150849342, 0.09464320540428162, -0.02826795168220997, -0.011650606989860535, -0.05662330612540245, -0.13777099549770355, -0.0003884673351421952, 0.0...
a12e9047-b1be-4c63-a3a6-8665f22046b5
Result: response Row 1: ────── a: 0.0001 toTypeName(a): Decimal(76, 76) b: 0 toTypeName(b): Decimal(76, 76) See also toDecimal256 . toDecimal256OrNull . toDecimal256OrDefault . toDecimal256OrNull {#todecimal256ornull} Like toDecimal256 , this function converts an input value t...
{"source_file": "type-conversion-functions.md"}
[ 0.0032188796903938055, -0.013267521746456623, -0.10303046554327011, 0.02416958101093769, -0.06714053452014923, -0.04755478724837303, 0.07560674846172333, 0.06405184417963028, -0.09904562681913376, 0.007027491927146912, -0.0161973275244236, -0.16673679649829865, 0.021284086629748344, 0.0142...
6f5c0e05-b159-4fb0-8f8f-050b90ac314d
:::warning Conversions drop extra digits and could operate in an unexpected way when working with Float32/Float64 inputs as the operations are performed using floating point instructions. For example: toDecimal256OrDefault(1.15, 2) is equal to 1.14 because 1.15 * 100 in floating point is 114.99. You can use a Strin...
{"source_file": "type-conversion-functions.md"}
[ 0.000041086797864409164, 0.019301578402519226, -0.05409223586320877, 0.011417653411626816, -0.040221571922302246, -0.06236810237169266, 0.10175979137420654, 0.06723444908857346, 0.010472084395587444, 0.02381419576704502, -0.03193189948797226, -0.15937501192092896, 0.02197316102683544, -0.0...
7fbe3a71-d094-4a03-b569-0e8dc44d9656
Accepts a String or FixedString argument. Returns the String with the content truncated at the first zero byte found. Syntax sql toStringCutToZero(s) Example Query: sql SELECT toFixedString('foo', 8) AS s, toStringCutToZero(s) AS s_cut; Result: response β”Œβ”€s─────────────┬─s_cut─┐ β”‚ foo\0\0\0\0\0 β”‚ foo β”‚ ...
{"source_file": "type-conversion-functions.md"}
[ 0.039218418300151825, -0.013510283082723618, -0.023531846702098846, 0.025768402963876724, -0.10734116286039352, -0.013342256657779217, 0.10242113471031189, 0.11263056844472885, -0.02804258093237877, 0.018374329432845116, -0.025138752534985542, -0.09028542041778564, 0.014059395529329777, -0...
fcaa3ad9-c090-43a6-9759-5a0566821264
Returned value Reinterpreted value x as UInt16. UInt16 . Example Query: sql SELECT toUInt8(257) AS x, toTypeName(x), reinterpretAsUInt16(x) AS res, toTypeName(res); Result: response β”Œβ”€x─┬─toTypeName(x)─┬─res─┬─toTypeName(res)─┐ β”‚ 1 β”‚ UInt8 β”‚ 1 β”‚ UInt16 β”‚ └───┴──────...
{"source_file": "type-conversion-functions.md"}
[ 0.014149315655231476, -0.04171786084771156, -0.017465071752667427, 0.07699976116418839, -0.10912284255027771, 0.0026584004517644644, 0.07220500707626343, -0.010389099828898907, -0.06468677520751953, -0.0323343425989151, -0.05296219140291214, -0.05434127897024155, 0.00122460734564811, -0.03...
ac1a8c37-df4e-4cc9-9b38-e53680c30c1e
reinterpretAsUInt256 {#reinterpretasuint256} Performs byte reinterpretation by treating the input value as a value of type UInt256. Unlike CAST , the function does not attempt to preserve the original value - if the target type is not able to represent the input type, the output is meaningless. Syntax sql reinte...
{"source_file": "type-conversion-functions.md"}
[ -0.026833882555365562, -0.06241140142083168, 0.016114821657538414, 0.06397085636854172, -0.09774458408355713, -0.017768586054444313, 0.0731610581278801, -0.031495146453380585, -0.04118453711271286, -0.006959816440939903, -0.05949191749095917, -0.020877601578831673, 0.016475632786750793, -0...
4b35efaa-3e38-445a-bd30-41e3b922ed47
Syntax sql reinterpretAsInt32(x) Parameters x : value to byte reinterpret as Int32. (U)Int* , Float , Date , DateTime , UUID , String or FixedString . Returned value Reinterpreted value x as Int32. Int32 . Example Query: sql SELECT toInt16(257) AS x, toTypeName(x), reinter...
{"source_file": "type-conversion-functions.md"}
[ 0.022818317636847496, -0.03129595145583153, -0.017477957531809807, 0.0813823714852333, -0.07958605140447617, -0.015288861468434334, 0.07195835560560226, 0.005958928260952234, -0.07060866057872772, -0.009305311366915703, -0.04226304963231087, -0.041530292481184006, 0.03383179381489754, -0.0...
ea10f623-fca3-405f-89ca-e03a25bb49a5
Reinterpreted value x as Int256. Int256 . Example Query: sql SELECT toInt128(257) AS x, toTypeName(x), reinterpretAsInt256(x) AS res, toTypeName(res); Result: response β”Œβ”€β”€β”€x─┬─toTypeName(x)─┬─res─┬─toTypeName(res)─┐ β”‚ 257 β”‚ Int128 β”‚ 257 β”‚ Int256 β”‚ └─────┴───────────────┴──...
{"source_file": "type-conversion-functions.md"}
[ 0.02424030750989914, -0.05817970260977745, -0.0044872090220451355, 0.08168764412403107, -0.0817275270819664, -0.0038357439916580915, 0.05790070444345474, -0.02945239655673504, -0.07139197736978531, -0.016965065151453018, -0.06288190186023712, -0.052146755158901215, 0.005048542749136686, -0...
d2e96d41-f77e-4b47-ab03-7ea1d06564de
reinterpretAsDateTime {#reinterpretasdatetime} These functions accept a string and interpret the bytes placed at the beginning of the string as a number in host order (little endian). Returns a date with time interpreted as the number of seconds since the beginning of the Unix Epoch. Syntax sql reinterpretAsDateT...
{"source_file": "type-conversion-functions.md"}
[ -0.017633581534028053, 0.02441411279141903, -0.03179705888032913, 0.07482802867889404, -0.09428732097148895, -0.017100123688578606, 0.004475320223718882, 0.024200493469834328, 0.005795554723590612, 0.031340911984443665, 0.01898820698261261, -0.04612492769956589, 0.007300269789993763, -0.05...
ae2ae17d-4afe-4fab-8173-7b891df3ca90
Example Query: sql SELECT reinterpretAsFixedString(toDateTime('1970-01-01 01:01:05')), reinterpretAsFixedString(toDate('1970-03-07')); Result: response β”Œβ”€reinterpretAsFixedString(toDateTime('1970-01-01 01:01:05'))─┬─reinterpretAsFixedString(toDate('1970-03-07'))─┐ β”‚ A ...
{"source_file": "type-conversion-functions.md"}
[ -0.029763931408524513, 0.0034277066588401794, -0.0009495869744569063, 0.0337546207010746, -0.059191636741161346, -0.0216195248067379, 0.04455442726612091, 0.006097013130784035, -0.05291491001844406, -0.010160038247704506, 0.0015666944673284888, -0.007192015182226896, 0.022914566099643707, ...
a83e5a1f-76fa-462e-a7b9-bb77c3c288a9
Result: text β”Œβ”€string_to_array_of_Float32─┐ β”‚ [5.626,6.626,5.626,6.626] β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ CAST {#cast} Converts an input value to the specified data type. Unlike the reinterpret function, CAST tries to present the same value using the new data type. If the conversion can not be done then an ex...
{"source_file": "type-conversion-functions.md"}
[ 0.03340044245123863, -0.004589776508510113, 0.014328598976135254, 0.02721879817545414, -0.1139410063624382, -0.02820894680917263, 0.10135938972234726, 0.03007756546139717, -0.0979093611240387, 0.00752769922837615, -0.03751546889543533, -0.043591711670160294, 0.0072594680823385715, -0.07953...
3ca85335-210b-454c-a0b4-c7dcd53313ea
Example Query: sql SELECT cast(-1, 'UInt8') AS uint8; Result: response β”Œβ”€uint8─┐ β”‚ 255 β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”˜ Query: sql SELECT accurateCast(-1, 'UInt8') AS uint8; Result: response Code: 70. DB::Exception: Received from localhost:9000. DB::Exception: Value in column Int8 cannot be safely converted into type UInt...
{"source_file": "type-conversion-functions.md"}
[ 0.024343818426132202, -0.022324368357658386, -0.0029425753746181726, 0.04843160882592201, -0.10950692743062973, -0.029460124671459198, 0.10419458150863647, 0.039742786437273026, -0.10306946933269501, -0.026230977848172188, -0.030050504952669144, -0.08776932954788208, 0.075778067111969, -0....
b632d70a-d42b-4c52-922b-a0bf7c8f8f9c
toInterval {#toInterval} Creates an Interval data type value from a numeric value and interval unit (eg. 'second' or 'day'). Syntax sql toInterval(value, unit) Arguments value β€” Length of the interval. Integer numbers or string representations thereof, and float numbers. (U)Int* / Float* / String . ...
{"source_file": "type-conversion-functions.md"}
[ -0.0024783380795270205, -0.0007937957998365164, 0.019928492605686188, 0.05506415292620659, -0.0932973176240921, 0.013034488074481487, 0.028365546837449074, 0.034328561276197433, -0.06528332829475403, -0.03041110374033451, 0.017163332551717758, -0.11373177915811539, 0.0481591522693634, 0.03...
d8a04602-06c0-4739-9615-6855610231b2
Returned values Interval of n weeks. IntervalWeek . Example Query: sql WITH toDate('2024-06-15') AS date, toIntervalWeek(1) AS interval_to_week SELECT date + interval_to_week AS result Result: response β”Œβ”€β”€β”€β”€β”€result─┐ β”‚ 2024-06-22 β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ toIntervalDay {#tointervalday} Returns an ...
{"source_file": "type-conversion-functions.md"}
[ -0.03394698351621628, 0.034002043306827545, 0.012607582844793797, 0.0873304232954979, -0.0926942452788353, -0.009148865938186646, 0.03193758800625801, 0.029444711282849312, -0.08040904998779297, -0.039724692702293396, -0.032051168382167816, -0.09302514046430588, 0.024671101942658424, -0.01...
edc005f6-250e-4ab5-8824-9cf058f72ff8
Returned values Interval of n milliseconds. IntervalMilliseconds . Example Query: sql WITH toDateTime('2024-06-15') AS date, toIntervalMillisecond(30) AS interval_to_milliseconds SELECT date + interval_to_milliseconds AS result Result: response β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€result─┐ β”‚ 2024-06-15 00:00:0...
{"source_file": "type-conversion-functions.md"}
[ -0.0010594716295599937, -0.018524490296840668, -0.013645215891301632, 0.07734409719705582, -0.06760863959789276, -0.006709540728479624, 0.019044335931539536, 0.08023834973573685, -0.00783463940024376, -0.013097461313009262, 0.022506700828671455, -0.11419934034347534, 0.003919141832739115, ...
9d148350-60a1-49a8-8f39-51b22ad9a3a4
parseDateTimeOrNull {#parsedatetimeornull} Same as for parseDateTime except that it returns NULL when it encounters a date format that cannot be processed. Alias: str_to_date . parseDateTimeInJodaSyntax {#parsedatetimeinjodasyntax} Similar to parseDateTime , except that the format string is in Joda inst...
{"source_file": "type-conversion-functions.md"}
[ 0.02579142153263092, 0.03173336759209633, -0.015484398230910301, 0.01186096016317606, -0.04444039240479469, -0.019233785569667816, 0.0067499722354114056, 0.08310338854789734, -0.01585335284471512, -0.028532514348626137, -0.04142550006508827, -0.09269468486309052, -0.003236363874748349, 0.0...
c40ae578-3901-4117-ac70-724492e65033
Arguments str β€” The String to be parsed. format β€” The format string. Optional. yyyy-MM-dd HH:mm:ss if not specified. timezone β€” Timezone . Optional. Returned value(s) Return a DateTime64 value parsed from the input string according to a Joda-style format string. The precision of the returned value...
{"source_file": "type-conversion-functions.md"}
[ 0.031845442950725555, 0.057568661868572235, -0.06796922534704208, 0.008054319769144058, -0.04562355950474739, 0.01838342472910881, -0.0871090218424797, 0.03158963844180107, 0.004112016875296831, -0.04993756115436554, -0.032568395137786865, -0.04731111228466034, -0.05388675257563591, -0.015...
eda20d8e-6617-4a5e-bc4f-1afeff98c22e
Query: sql SELECT parseDateTimeBestEffort('Sat, 18 Aug 2018 07:22:16 GMT', 'Asia/Istanbul') AS parseDateTimeBestEffort; Result: response β”Œβ”€parseDateTimeBestEffort─┐ β”‚ 2018-08-18 10:22:16 β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ Query: sql SELECT parseDateTimeBestEffort('1284101485') AS parseDateTimeBestEffort; Res...
{"source_file": "type-conversion-functions.md"}
[ 0.0036844632122665644, -0.012726180255413055, 0.026528602465987206, 0.03776298090815544, -0.03884339705109596, -0.0047369408421218395, 0.05710950493812561, 0.03386537358164787, 0.01654442958533764, 0.020428454503417015, 0.010867144912481308, -0.05494222790002823, -0.05878453329205513, 0.01...
43377779-6299-4ef7-a2ce-e1808aa9e266
parseDateTimeBestEffortUSOrNull {#parsedatetimebesteffortusornull} Same as parseDateTimeBestEffortUS function except that it returns NULL when it encounters a date format that cannot be processed. parseDateTimeBestEffortUSOrZero {#parsedatetimebesteffortusorzero} Same as parseDateTimeBestEffortUS function e...
{"source_file": "type-conversion-functions.md"}
[ 0.032715845853090286, -0.018602823838591576, -0.032961808145046234, 0.030333612114191055, -0.015289605595171452, -0.013753007166087627, -0.009535592049360275, 0.09619304537773132, -0.021036481484770775, 0.008841972798109055, -0.02645930089056492, -0.0808434933423996, -0.034140583127737045, ...
db140826-aeba-465e-a953-50ace604dc2a
parseDateTime64BestEffortUSOrZero {#parsedatetime64besteffortusorzero} Same as for parseDateTime64BestEffort , except that this function prefers US date format ( MM/DD/YYYY etc.) in case of ambiguity and returns zero date or zero date time when it encounters a date format that cannot be processed. toLowCardinalit...
{"source_file": "type-conversion-functions.md"}
[ 0.08436721563339233, 0.03807196393609047, -0.0581737756729126, 0.06033778190612793, -0.05010513961315155, -0.002231323393061757, 0.014604007825255394, 0.11619054526090622, -0.05368323624134064, -0.03173069283366203, -0.02125607430934906, -0.09215262532234192, 0.004310670308768749, -0.00339...
34ab9533-f786-457e-a26f-50c2f7e225c4
Converts a DateTime64 to a Int64 value with fixed millisecond precision. The input value is scaled up or down appropriately depending on its precision. :::note The output value is a timestamp in UTC, not in the timezone of DateTime64 . ::: Syntax sql toUnixTimestamp64Milli(value) Arguments value β€” Dat...
{"source_file": "type-conversion-functions.md"}
[ 0.04051205888390541, 0.013627302832901478, -0.06235962733626366, 0.043452873826026917, -0.041481874883174896, 0.0008344129892066121, -0.028318168595433235, 0.05337349697947502, -0.000298288679914549, -0.0059294318780303, -0.0024005863815546036, -0.08901512622833252, 0.016067195683717728, -...
d6baccd6-7d25-41e5-80ec-c35145c78902
Example Query: sql WITH CAST(1733935988, 'Int64') AS i64 SELECT fromUnixTimestamp64Second(i64, 'UTC') AS x, toTypeName(x); Result: response β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€x─┬─toTypeName(x)────────┐ β”‚ 2024-12-11 16:53:08 β”‚ DateTime64(0, 'UTC') β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ fromUnixTimestamp64Mi...
{"source_file": "type-conversion-functions.md"}
[ 0.06250934302806854, 0.02244637906551361, -0.0734245628118515, 0.03941669315099716, -0.07979699224233627, -0.017113300040364265, 0.01270473375916481, 0.06706070154905319, -0.03295502811670303, -0.008907608687877655, -0.041612859815359116, -0.09886442124843597, 0.030778352171182632, -0.0079...
798ed8df-b98e-43b6-ba57-a65a9e9d71b4
Example Query: sql WITH CAST(1733935988123456789, 'Int64') AS i64 SELECT fromUnixTimestamp64Nano(i64, 'UTC') AS x, toTypeName(x); Result: response β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€x─┬─toTypeName(x)────────┐ β”‚ 2024-12-11 16:53:08.123456789 β”‚ DateTime64(9, 'UTC') β”‚ └───────────────────────────────┴──────────...
{"source_file": "type-conversion-functions.md"}
[ 0.04039397090673447, 0.013193387538194656, -0.024688705801963806, 0.034246575087308884, -0.09996821731328964, 0.03708863630890846, 0.030440255999565125, 0.05652867257595062, -0.022178510203957558, 0.008019095286726952, -0.038001470267772675, -0.050843462347984314, 0.05384242162108421, -0.0...
16cd4485-a21f-4903-bdbd-40f1dc1ae17e
description: 'Overview of external dictionaries functionality in ClickHouse' sidebar_label: 'Defining Dictionaries' sidebar_position: 35 slug: /sql-reference/dictionaries title: 'Dictionaries' doc_type: 'reference' import SelfManaged from '@site/docs/_snippets/_self_managed_only_no_roadmap.md'; import CloudDetails ...
{"source_file": "index.md"}
[ -0.0236422810703516, 0.005949774291366339, -0.04412141442298889, 0.015228133648633957, 0.0044370549730956554, -0.036927491426467896, 0.06681393086910248, -0.013787813484668732, -0.0518445186316967, -0.0035851402208209038, 0.02994612790644169, -0.011634941212832928, 0.09764227271080017, -0....
55a71ab1-2b1c-4fbc-9159-8f35976575b6
Creating a dictionary with a configuration file {#creating-a-dictionary-with-a-configuration-file} :::note Creating a dictionary with a configuration file is not applicable to ClickHouse Cloud. Please use DDL (see above), and create your dictionary as user default . ::: The dictionary configuration file has the ...
{"source_file": "index.md"}
[ -0.005412044934928417, -0.0001373391569359228, -0.10606800019741058, -0.02587452530860901, -0.06767042726278305, -0.04960706830024719, 0.05306056886911392, -0.056977782398462296, -0.03796433284878731, 0.0302643571048975, 0.0896766185760498, -0.016563013195991516, 0.09803151339292526, -0.04...
52f4fe89-47f3-47df-a370-40ad54e00ce3
Corresponding DDL-query : sql CREATE DICTIONARY (...) ... LAYOUT(LAYOUT_TYPE(param value)) -- layout settings ... Dictionaries without word complex-key* in a layout have a key with UInt64 type, complex-key* dictionaries have a composite key (complex, with arbitrary types). UInt64 keys in XML dictionaries ...
{"source_file": "index.md"}
[ 0.04122330993413925, 0.012002531439065933, -0.1323430836200714, -0.008467612788081169, -0.07279901951551437, -0.07962287962436676, 0.005752094089984894, 0.005594287533313036, -0.03061530366539955, -0.008868547156453133, 0.06673260033130646, -0.00963978748768568, 0.10992669314146042, -0.076...
759821cc-2f3f-475a-a399-cfb1b1bd9e00
Configuration example: xml <layout> <hashed /> </layout> or sql LAYOUT(HASHED()) Configuration example: ``xml <layout> <hashed> <!-- If shards greater then 1 (default is 1`) the dictionary will load data in parallel, useful if you have huge amount of elements in one dictionary. --> ...
{"source_file": "index.md"}
[ 0.023916326463222504, -0.00717865489423275, -0.07089827954769135, -0.0017090080073103309, -0.08678660541772842, -0.08969133347272873, -0.04100592061877251, -0.017724312841892242, -0.006017068866640329, 0.004245813004672527, 0.018931306898593903, 0.07898776978254318, 0.05873897299170494, -0...
81a1c21f-8960-4f3f-a71b-90c071f37136
or sql LAYOUT(COMPLEX_KEY_SPARSE_HASHED([SHARDS 1] [SHARD_LOAD_QUEUE_BACKLOG 10000] [MAX_LOAD_FACTOR 0.5])) hashed_array {#hashed_array} The dictionary is completely stored in memory. Each attribute is stored in an array. The key attribute is stored in the form of a hashed table where value is an index in the att...
{"source_file": "index.md"}
[ 0.03156168758869171, 0.019099125638604164, -0.13622352480888367, -0.0011836346238851547, -0.04192589223384857, -0.09455612301826477, -0.010631267912685871, -0.019601283594965935, 0.03734074532985687, 0.031108753755688667, 0.04488806799054146, 0.1353950798511505, 0.09749333560466766, -0.100...
23b7edf1-8d07-4ed0-8bbb-7f454c9dd482
or sql CREATE DICTIONARY discounts_dict ( advertiser_id UInt64, discount_start_date Date, discount_end_date Date, amount Float64 ) PRIMARY KEY id SOURCE(CLICKHOUSE(TABLE 'discounts')) LIFETIME(MIN 1 MAX 1000) LAYOUT(RANGE_HASHED(range_lookup_strategy 'max')) RANGE(MIN discount_start_date MAX discount_...
{"source_file": "index.md"}
[ -0.06939832121133804, 0.06772131472826004, -0.07160618156194687, 0.004356703720986843, -0.06566064059734344, 0.00022442788758780807, 0.021351400762796402, 0.03515661507844925, -0.020824575796723366, -0.0034042007755488157, 0.04949897527694702, -0.015723345801234245, 0.04576614499092102, -0...
04eac73b-f42a-4c04-a2d1-3f8b55dfbafa
```sql CREATE TABLE discounts ( advertiser_id UInt64, discount_start_date Date, discount_end_date Nullable(Date), amount Float64 ) ENGINE = Memory; INSERT INTO discounts VALUES (1, '2015-01-01', Null, 0.1); INSERT INTO discounts VALUES (1, '2015-01-15', Null, 0.2); INSERT INTO discounts VALUES (2, '20...
{"source_file": "index.md"}
[ -0.01906849443912506, 0.025167765095829964, 0.010849381797015667, 0.029316283762454987, -0.034383080899715424, 0.024115756154060364, 0.019399238750338554, 0.0033583950717002153, 0.004155536647886038, 0.02955496497452259, 0.14570720493793488, -0.05552535876631737, 0.03070242330431938, -0.04...
59657fbf-7594-4184-80f3-a6cc2b54e0ec
select dictGet('discounts_dict', 'amount', 1, toDate('2015-01-14')) res; β”Œβ”€res─┐ β”‚ 0.1 β”‚ -- the only one range is matching: 2015-01-01 - Null β””β”€β”€β”€β”€β”€β”˜ select dictGet('discounts_dict', 'amount', 1, toDate('2015-01-16')) res; β”Œβ”€res─┐ β”‚ 0.1 β”‚ -- two ranges are matching, range_min 2015-01-01 (0.1) is less than 2015-01-15 ...
{"source_file": "index.md"}
[ -0.030067194253206253, 0.09094681590795517, 0.07028286904096603, -0.012379692867398262, -0.02698657661676407, 0.0020486973226070404, -0.010286049917340279, 0.006625431589782238, 0.025209689512848854, 0.028782008215785027, 0.049149129539728165, -0.12963367998600006, 0.02568153105676174, -0....
79c67f37-348a-4ab0-8b43-e6f22f8ba6d0
If setting allow_read_expired_keys is set to 1, by default 0. Then dictionary can support asynchronous updates. If a client requests keys and all of them are in cache, but some of them are expired, then dictionary will return expired keys for a client and request them asynchronously from the source. To improve cach...
{"source_file": "index.md"}
[ -0.04422958940267563, 0.02015259489417076, -0.14345845580101013, 0.01731235347688198, -0.1073991060256958, -0.10151591151952744, -0.016492020338773727, -0.04087035730481148, 0.03332999348640442, 0.038023024797439575, 0.07847750186920166, 0.08281262964010239, 0.05277207866311073, -0.1223413...
a94b1e5a-26b0-4e74-8983-c1584ea08bba
or sql LAYOUT(SSD_CACHE(BLOCK_SIZE 4096 FILE_SIZE 16777216 READ_BUFFER_SIZE 1048576 PATH '/var/lib/clickhouse/user_files/test_dict')) complex_key_ssd_cache {#complex_key_ssd_cache} This type of storage is for use with composite keys . Similar to ssd_cache . direct {#direct} The dictionary is not stored ...
{"source_file": "index.md"}
[ -0.038946621119976044, -0.0009172364370897412, -0.12137093394994736, -0.023419752717018127, -0.03589196503162384, -0.07412049174308777, 0.005785264074802399, -0.000511123042088002, 0.003851634915918112, -0.01460959855467081, 0.06394926458597183, 0.1408034861087799, 0.0508243665099144, -0.0...
6fc4a47c-c4d6-4007-bb61-b6cb2c8412ad
β”Œβ”€result─┐ β”‚ NP β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”˜ SELECT dictGet('my_ip_trie_dictionary', 'asn', IPv6StringToNum('2001:db8::1')) AS result; β”Œβ”€result─┐ β”‚ 65536 β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”˜ SELECT dictGet('my_ip_trie_dictionary', ('asn', 'cca2'), IPv6StringToNum('2001:db8::1')) AS result; β”Œβ”€result───────┐ β”‚ (65536,'ZZ') β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ ``` ...
{"source_file": "index.md"}
[ -0.07576807588338852, -0.038195837289094925, -0.035753604024648666, 0.0026592242065817118, -0.014467147178947926, -0.10251973569393158, 0.0020900091622024775, -0.09657368063926697, 0.012286249548196793, -0.014271644875407219, 0.0775287076830864, 0.06293175369501114, -0.01802884228527546, -...
ad99df71-0f4f-4bba-957d-081bfbdb5b9f
The dictionary table must have a field that always changes when the source data is updated. The settings of the source must specify a query that retrieves the changing field. The ClickHouse server interprets the query result as a row, and if this row has changed relative to its previous state, the dictionary is updat...
{"source_file": "index.md"}
[ -0.04280061647295952, -0.017680490389466286, -0.08592287451028824, 0.03670554608106613, -0.04086592420935631, -0.11783924698829651, 0.03486933559179306, -0.07229070365428925, 0.05973084270954132, 0.023709464818239212, 0.03370916098356247, 0.025573454797267914, 0.06649040430784225, -0.12649...
579d9827-fda7-4015-b5a4-d80e2c2d420c
sql ... SOURCE(CLICKHOUSE(... update_field 'added_time' update_lag 15)) ... Dictionary Sources {#dictionary-sources} A dictionary can be connected to ClickHouse from many different sources. If the dictionary is configured using an xml-file, the configuration looks like this: xml <clickhouse> <dictionary> ...
{"source_file": "index.md"}
[ -0.049965400248765945, -0.06517372280359268, -0.0841400995850563, 0.007003472652286291, -0.06965802609920502, -0.09860612452030182, 0.08629375696182251, -0.023306846618652344, -0.020886708050966263, 0.004292523954063654, 0.05291800945997238, -0.03799218311905861, 0.07807440310716629, -0.13...
73bb549c-a3ca-497f-b5ca-894d73bc94eb
format β€” The file format. All the formats described in Formats are supported. command_termination_timeout β€” The executable script should contain a main read-write loop. After the dictionary is destroyed, the pipe is closed, and the executable file will have command_termination_timeout seconds to shutdown before...
{"source_file": "index.md"}
[ 0.032278332859277725, 0.03386807069182396, -0.1235131099820137, 0.018001314252614975, -0.05426691472530365, -0.02546129934489727, -0.027327420189976692, 0.09913813322782516, -0.03182487562298775, 0.014508342370390892, 0.01825992949306965, 0.013049651868641376, -0.029524490237236023, -0.074...
2d75745f-6039-45fe-b90d-3a14216678d4
Setting fields: command β€” The absolute path to the executable file, or the file name (if the program directory is written to PATH ). format β€” The file format. All the formats described in " Formats " are supported. pool_size β€” Size of pool. If 0 is specified as pool_size then there is no pool size restric...
{"source_file": "index.md"}
[ 0.03760147839784622, -0.006688512396067381, -0.13161662220954895, 0.016388999298214912, -0.05878030136227608, -0.02966129593551159, -0.02505909651517868, 0.13434869050979614, -0.040730465203523636, -0.010120001621544361, 0.01183377020061016, -0.03369007259607315, -0.0391337089240551, -0.05...
33956762-3b56-49d3-afd8-8659a34cb42c
or sql SOURCE(HTTP( url 'http://[::1]/os.tsv' format 'TabSeparated' credentials(user 'user' password 'password') headers(header(name 'API-KEY' value 'key')) )) In order for ClickHouse to access an HTTPS resource, you must configure openSSL in the server configuration. Setting fields: url – ...
{"source_file": "index.md"}
[ -0.023101806640625, -0.017725756391882896, -0.1615510880947113, -0.018047505989670753, -0.0459180623292923, -0.07122743874788284, -0.026152849197387695, -0.015347521752119064, -0.01629105769097805, 0.017051229253411293, -0.022661689668893814, -0.012826953083276749, 0.060959164053201675, 0....
9f6d3eff-1800-4c82-bfea-6f422d5cf46d
Known Vulnerability of the ODBC Dictionary Functionality {#known-vulnerability-of-the-odbc-dictionary-functionality} :::note When connecting to the database through the ODBC driver connection parameter Servername can be substituted. In this case values of USERNAME and PASSWORD from odbc.ini are sent to the re...
{"source_file": "index.md"}
[ -0.029909584671258926, -0.025368137285113335, -0.1989040970802307, 0.05526422709226608, -0.1215960830450058, -0.052578698843717575, 0.060887474566698074, 0.04638080671429634, -0.006891857832670212, -0.0470576286315918, -0.04863622412085533, 0.0404762402176857, 0.04067471995949745, -0.07526...
b20588b0-fafa-40fd-8036-b40d3fc6383f
Example of Connecting MS SQL Server {#example-of-connecting-ms-sql-server} Ubuntu OS. Installing the ODBC driver for connecting to MS SQL: bash $ sudo apt-get install tdsodbc freetds-bin sqsh Configuring the driver: ```bash $ cat /etc/freetds/freetds.conf ... [MSSQL] host = 192.168.56.101 port = 143...
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41f56679-3204-4412-a085-149bbcc7f6a4
Setting fields: port – The port on the MySQL server. You can specify it for all replicas, or for each one individually (inside <replica> ). user – Name of the MySQL user. You can specify it for all replicas, or for each one individually (inside <replica> ). password – Password of the MySQL user. ...
{"source_file": "index.md"}
[ 0.0118901077657938, -0.05463385954499245, -0.07245843857526779, -0.013195252045989037, -0.08715797960758209, -0.06961021572351456, -0.005168613512068987, -0.0027995400596410036, -0.02789589948952198, 0.047616615891456604, -0.023158662021160126, -0.0008945990703068674, 0.1693652719259262, 0...
21332986-e50c-4566-ac52-d24680e16235
ClickHouse {#clickhouse} Example of settings: xml <source> <clickhouse> <host>example01-01-1</host> <port>9000</port> <user>default</user> <password></password> <db>default</db> <table>ids</table> <where>id=10</where> <secure>1</secure> <qu...
{"source_file": "index.md"}
[ 0.05228814482688904, -0.043776609003543854, -0.1045856699347496, 0.014501909725368023, -0.08669465035200119, -0.05319890007376671, 0.0592644028365612, -0.010921796783804893, -0.05852678790688515, -0.008313334546983242, 0.04838303104043007, -0.048242151737213135, 0.13966786861419678, -0.064...
8352e8a2-1d89-44b2-b717-1e74a645ab0f
xml <source> <redis> <host>localhost</host> <port>6379</port> <storage_type>simple</storage_type> <db_index>0</db_index> </redis> </source> or sql SOURCE(REDIS( host 'localhost' port 6379 storage_type 'simple' db_index 0 )) Setting fields: host – The Re...
{"source_file": "index.md"}
[ 0.0393720418214798, 0.01247902400791645, -0.12808683514595032, -0.015895601361989975, -0.05534416437149048, -0.07015660405158997, -0.008652236312627792, 0.04867812991142273, -0.04309694096446037, -0.00983826257288456, 0.04360462725162506, -0.005551333539187908, 0.12098341435194016, -0.1371...
779b0ca9-9319-468d-a4df-3dfb782b0d97
PostgreSQL {#postgresql} Example of settings: xml <source> <postgresql> <host>postgresql-hostname</hoat> <port>5432</port> <user>clickhouse</user> <password>qwerty</password> <db>db_name</db> <table>table_name</table> <where>id=10</where> <invalidate_query>SQL_QUERY...
{"source_file": "index.md"}
[ 0.01762116141617298, 0.01375051774084568, -0.07640761882066727, 0.00009902249439619482, -0.06999856978654861, -0.009609888307750225, -0.011496004648506641, -0.017158370465040207, -0.03867024928331375, 0.045642152428627014, 0.0616007000207901, -0.05610428377985954, 0.03705734387040138, -0.0...
a0eb798e-d17c-4599-b6bf-998532dc3c08
Dictionary Key and Fields {#dictionary-key-and-fields} The structure clause describes the dictionary key and fields available for queries. XML description: ```xml Id <attribute> <!-- Attribute parameters --> </attribute> ... </structure> ``` Attributes are described in t...
{"source_file": "index.md"}
[ -0.02382577583193779, -0.007621205877512693, -0.08127571642398834, 0.0008080267580226064, -0.041629042476415634, -0.058721404522657394, 0.08259841799736023, -0.04806797578930855, -0.020330538973212242, -0.03957020863890648, 0.06732537597417831, -0.00283147394657135, 0.12907454371452332, -0...
6eb05c99-0cb3-4556-8097-ab0a34525b6e
| Tag | Description ...
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[ -0.0034570067655295134, 0.07680454850196838, -0.008665449917316437, -0.013504531234502792, 0.11089115589857101, -0.007485589943826199, 0.0341411791741848, 0.020732751116156578, -0.0027893672231584787, -0.032130319625139236, -0.020735464990139008, -0.1017616018652916, 0.08019524067640305, 0...
a9a0e20e-6e84-4e04-b54f-35bc2c11867d
|------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------...
{"source_file": "index.md"}
[ -0.04348547011613846, 0.0023216381669044495, -0.04704635590314865, -0.03225376456975937, -0.09775859862565994, 0.013375223614275455, -0.001099019660614431, 0.04466715082526207, -0.002515157451853156, -0.06045687943696976, 0.06121503561735153, -0.02469663694500923, -0.03292921930551529, -0....
d99c3f13-4443-4ace-8e60-24cbf06f171c
| name | Column name. ...
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[ 0.011370042338967323, 0.011405706405639648, -0.12058524042367935, 0.005970833357423544, -0.08200963586568832, -0.040373750030994415, 0.05928139388561249, 0.010807713493704796, -0.05974431708455086, 0.004268669057637453, 0.04306759685277939, -0.03411256894469261, 0.08217048645019531, -0.023...
18b0267c-a05b-4656-8e84-ff11cf73ad80
| null_value | Default value for a non-existing element. In the example, it is an empty string. NULL value can be used only for the Nullable types (see the previous line with types description). ...
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[ 0.021859748288989067, -0.0060205599293112755, -0.09110474586486816, 0.03225427493453026, -0.06533898413181305, 0.017397642135620117, 0.027228035032749176, 0.054254017770290375, -0.014074069447815418, 0.038373593240976334, 0.054288554936647415, -0.08396988362073898, 0.05690900236368179, -0....
cde9d302-b351-4b1b-ba14-0cb618daae89
Expression that ClickHouse executes on the value. The expression can be a column name in the remote SQL database. Thus, you can use it to create an alias for the remote column. Default value: no expression. ...
{"source_file": "index.md"}
[ 0.02710483781993389, -0.019171563908457756, -0.06481708586215973, 0.02845904603600502, -0.04878120496869087, 0.0007815329590812325, 0.026970233768224716, -0.01983133889734745, 0.017298337072134018, 0.04733995720744133, 0.053114600479602814, -0.07319503277540207, 0.0690433457493782, 0.00810...
e650dddf-fb8d-4892-bfe4-0340a6de5aff
| hierarchical | If true , the attribute contains the value of a parent key for the current key. See Hierarchical Dictionaries . Default value: false . ...
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b83dba24-bf44-4e3b-9d9b-7c2415d90cdd
true , ClickHouse can automatically place after the GROUP BY clause the requests to dictionaries with injection. Usually it significantly reduces the amount of such requests. Default value: false . ...
{"source_file": "index.md"}
[ 0.02077512815594673, 0.018347594887018204, -0.0650540292263031, 0.1012209802865982, -0.012614654377102852, -0.06623444706201553, -0.004415392410010099, -0.1272175908088684, 0.006882460322231054, -0.04329478368163109, 0.03221270069479942, 0.021502166986465454, -0.022347966209053993, -0.0388...
0e2a0aff-277a-4073-8432-0a22d73991c8
Hierarchical Dictionaries {#hierarchical-dictionaries} ClickHouse supports hierarchical dictionaries with a numeric key . Look at the following hierarchical structure: text 0 (Common parent) β”‚ β”œβ”€β”€ 1 (Russia) β”‚ β”‚ β”‚ └── 2 (Moscow) β”‚ β”‚ β”‚ └── 3 (Center) β”‚ └── 4 (Great Britain) β”‚ └── 5 (London...
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[ 0.06601455062627792, -0.031319525092840195, -0.0076703475788235664, -0.06783508509397507, 0.00040440057637169957, -0.07036255300045013, -0.016562987118959427, -0.05291973799467087, -0.0277871023863554, 0.004583367612212896, 0.027484608814120293, -0.046048153191804886, 0.014809366315603256, ...
d4702916-1504-4e73-b1f2-c222e55c8e09
Points can be specified as an array or a tuple of their coordinates. In the current implementation, only two-dimensional points are supported. The user can upload their own data in all formats supported by ClickHouse. There are 3 types of in-memory storage available: POLYGON_SIMPLE . This is a naive impleme...
{"source_file": "index.md"}
[ 0.05781754106283188, 0.00230203615501523, -0.11869083344936371, 0.04558980464935303, 0.007241375278681517, -0.045778561383485794, 0.03251096233725548, -0.0023838107008486986, 0.04957634583115578, 0.020630117505788803, -0.05367857217788696, 0.021192533895373344, 0.057642288506031036, -0.016...
2119b33e-81c8-458d-b3fe-2d851fc451e0
SELECT * FROM polygons_test_dictionary; ``` Result: text β”Œβ”€key─────────────────────────────┬─name──┐ β”‚ [[[(3,1),(0,1),(0,-1),(3,-1)]]] β”‚ Value β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”˜ Regular Expression Tree Dictionary {#regexp-tree-dictionary} This dictionary lets you map keys to values based on hierarchi...
{"source_file": "index.md"}
[ 0.05614542216062546, 0.009667536243796349, 0.0352160781621933, -0.023827770724892616, -0.019658079370856285, -0.062017809599637985, 0.11345691978931427, -0.06037617102265358, -0.04328029230237007, 0.027126511558890343, 0.037106215953826904, -0.03196652606129646, 0.05174366012215614, -0.051...
7b73f6ed-b2e3-4d6a-a947-35a087a3dd8a
Regexp tree dictionaries only allow access using the functions dictGet , dictGetOrDefault , and dictGetAll . Example: sql SELECT dictGet('regexp_dict', ('name', 'version'), '31/tclwebkit1024'); Result: text β”Œβ”€dictGet('regexp_dict', ('name', 'version'), '31/tclwebkit1024')─┐ β”‚ ('Android','12') ...
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619f7580-3cd4-48fd-a574-9031e8ac2bfd
Result: text β”Œβ”€url────────────────────────────────────┬─dictGetAll('regexp_dict', ('tag', 'topological_index', 'captured', 'parent'), url, 2)─┐ β”‚ clickhouse.com β”‚ (['ClickHouse'],[1],[],[]) β”‚ β”‚ clickhouse.com/docs/en β”‚ ...
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[ -0.031578730791807175, 0.053093042224645615, 0.07519197463989258, -0.013615738600492477, 0.06300201267004013, -0.11150546371936798, 0.06002284958958626, -0.066532664000988, -0.02348468452692032, -0.02566053345799446, 0.04266905039548874, -0.00434470409527421, 0.031034186482429504, 0.055774...
dc49499c-c03b-4b5a-bf87-db4d44e4055b
You can see how to Insert Local Files for more details. After we initialize the source table, we can create a RegexpTree by table source: sql CREATE DICTIONARY regexp_dict ( regexp String, name String, version String PRIMARY KEY(regexp) SOURCE(CLICKHOUSE(TABLE 'regexp_dictionary_source_table')) LIFETIME...
{"source_file": "index.md"}
[ 0.07943006604909897, -0.028120731934905052, -0.054447486996650696, 0.016579821705818176, -0.039030127227306366, -0.01233948115259409, 0.04423242062330246, -0.04000287130475044, -0.09179017692804337, -0.0006077451980672777, -0.0043656183406710625, -0.1163346916437149, 0.07878043502569199, 0...
88b9a31e-8bab-47bf-a36e-5390ca46c87e
We recommend periodically updating the dictionaries with the geobase. During an update, generate new files and write them to a separate location. When everything is ready, rename them to the files used by the server. There are also functions for working with OS identifiers and search engines, but they shouldn't be us...
{"source_file": "index.md"}
[ 0.027961289510130882, -0.06567435711622238, 0.025439072400331497, -0.045839134603738785, -0.0659560039639473, -0.08221717178821564, -0.044805314391851425, -0.03992967680096626, -0.025505872443318367, 0.010141946375370026, 0.018508942797780037, 0.06246478483080864, 0.027003386989235878, -0....
c4b94cbf-cda2-42dc-9306-ef1dc726132a
description: 'Documentation for the lagInFrame window function' sidebar_label: 'lagInFrame' sidebar_position: 9 slug: /sql-reference/window-functions/lagInFrame title: 'lagInFrame' doc_type: 'reference' lagInFrame Returns a value evaluated at the row that is at a specified physical offset row before the current r...
{"source_file": "lagInFrame.md"}
[ 0.04263802617788315, -0.07307042926549911, -0.04393821954727173, 0.0008238892769441009, -0.0024672860745340586, 0.07768315821886063, 0.05247729271650314, 0.021875303238630295, -0.0015752846375107765, -0.026288317516446114, 0.05765340104699135, 0.029483428224921227, -0.04043227434158325, -0...
9d2e8d41-f911-4512-a58b-23834a5b18f9
Result: response β”Œβ”€β”€β”€β”€β”€β”€β”€date─┬──close─┬─previous_day_close─┬─delta─┬─percent_change─┐ 1. β”‚ 2024-06-07 β”‚ 120.89 β”‚ 121 β”‚ -0.11 β”‚ -0.09 β”‚ 2. β”‚ 2024-06-06 β”‚ 121 β”‚ 122.44 β”‚ -1.44 β”‚ -1.18 β”‚ 3. β”‚ 2024-06-05 β”‚ 122.44 β”‚ 116.44 β”‚ 6 β”‚ 5.15 β”‚ 4. β”‚ 2024...
{"source_file": "lagInFrame.md"}
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01834d56-4836-446f-968b-56bf09dd07ea
description: 'Documentation for the lead window function' sidebar_label: 'lead' sidebar_position: 10 slug: /sql-reference/window-functions/lead title: 'lead' doc_type: 'reference' lead Returns a value evaluated at the row that is offset rows after the current row within the ordered frame. This function is similar...
{"source_file": "lead.md"}
[ -0.0195371825248003, 0.009349130094051361, -0.06651952117681503, -0.0032186629250645638, -0.013746906071901321, 0.0924215093255043, 0.0322284959256649, 0.05390552058815956, -0.034060411155223846, -0.005308415275067091, 0.008572282269597054, 0.047681864351034164, -0.0236436128616333, -0.086...
b8429356-ca2c-4466-96fc-a2798f895c87
response title="Query" β”Œβ”€fullName─────────┬─year─┬─category─┬─motivation─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐ 1. β”‚ Anne L Huillier β”‚ 2023 β”‚ physics β”‚ for experimental methods that generate attosecond pulses of light for the study ...
{"source_file": "lead.md"}
[ -0.13364170491695404, -0.05813859403133392, 0.022627880796790123, 0.10564921796321869, -0.04686427861452103, -0.010150594636797905, -0.022778963670134544, 0.024981804192066193, -0.06416008621454239, 0.05901974439620972, 0.0008102779393084347, -0.08008266240358353, -0.01278737559914589, -0....
75833d04-967d-4930-919d-4ae0cb6c6f4e
description: 'Documentation for the rank window function' sidebar_label: 'rank' sidebar_position: 6 slug: /sql-reference/window-functions/rank title: 'rank' doc_type: 'reference' rank Ranks the current row within its partition with gaps. In other words, if the value of any row it encounters is equal to the value ...
{"source_file": "rank.md"}
[ -0.06084614619612694, -0.07241954654455185, 0.008399910293519497, 0.00859243143349886, -0.010923091322183609, 0.0312870591878891, 0.029368000105023384, 0.04722495377063751, 0.015887340530753136, -0.010303456336259842, -0.028415922075510025, 0.01185525767505169, 0.03410044312477112, -0.0515...
0008e466-8120-41e3-a95f-ea4474ead7bc
description: 'Documentation for the leadInFrame window function' sidebar_label: 'leadInFrame' sidebar_position: 10 slug: /sql-reference/window-functions/leadInFrame title: 'leadInFrame' doc_type: 'reference' leadInFrame Returns a value evaluated at the row that is offset rows after the current row within the orde...
{"source_file": "leadInFrame.md"}
[ -0.004920397885143757, -0.02830425463616848, -0.06455644965171814, 0.0029354991856962442, 0.0015276470221579075, 0.07845961302518845, 0.0417005829513073, 0.030704256147146225, -0.03686300292611122, -0.009447498247027397, 0.012251405045390129, 0.046248454600572586, -0.0439331941306591, -0.0...
84ad6006-ab88-4fa7-928b-16c27fa4dce8
Result: response β”Œβ”€fullName─────────┬─year─┬─category─┬─motivation─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐ 1. β”‚ Anne L Huillier β”‚ 2023 β”‚ physics β”‚ for experimental methods that generate attosecond pulses of light for the study of e...
{"source_file": "leadInFrame.md"}
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description: 'Documentation for the percent_rank window function' sidebar_label: 'percent_rank' sidebar_position: 8 slug: /sql-reference/window-functions/percent_rank title: 'percent_rank' doc_type: 'reference' percent_rank returns the relative rank (i.e. percentile) of rows within a window partition. Syntax ...
{"source_file": "percent_rank.md"}
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description: 'Documentation for the first_value window function' sidebar_label: 'first_value' sidebar_position: 3 slug: /sql-reference/window-functions/first_value title: 'first_value' doc_type: 'reference' first_value Returns the first value evaluated within its ordered frame. By default, NULL arguments are skip...
{"source_file": "first_value.md"}
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description: 'Documentation for the lag window function' sidebar_label: 'lag' sidebar_position: 9 slug: /sql-reference/window-functions/lag title: 'lag' doc_type: 'reference' lag Returns a value evaluated at the row that is at a specified physical offset before the current row within the ordered frame. This funct...
{"source_file": "lag.md"}
[ 0.028579551726579666, -0.041512373834848404, -0.048873625695705414, 0.01637144573032856, -0.008695447817444801, 0.05011390894651413, 0.04333988577127457, 0.03442934900522232, -0.0008404005784541368, -0.04019347205758095, 0.04239976033568382, 0.03905022516846657, -0.04582170769572258, -0.08...
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description: 'Documentation for the last_value window function' sidebar_label: 'last_value' sidebar_position: 4 slug: /sql-reference/window-functions/last_value title: 'last_value' doc_type: 'reference' last_value Returns the last value evaluated within its ordered frame. By default, NULL arguments are skipped, h...
{"source_file": "last_value.md"}
[ 0.0036911724600940943, 0.0452982634305954, -0.026703251525759697, -0.002332191914319992, -0.026714805513620377, 0.06179897487163544, 0.07399211823940277, 0.04659305140376091, 0.0320243239402771, -0.004690338391810656, 0.030811013653874397, -0.002353319665417075, -0.03088739700615406, -0.05...
ddb8d184-c484-49ec-b056-f0d01a70fdf9
description: 'Overview page for window functions' sidebar_label: 'Window Functions' sidebar_position: 1 slug: /sql-reference/window-functions/ title: 'Window Functions' doc_type: 'reference' Window functions Window functions let you perform calculations across a set of rows that are related to the current row. So...
{"source_file": "index.md"}
[ -0.019833393394947052, -0.04204539954662323, -0.03172173723578453, 0.01680314540863037, -0.07121693342924118, 0.0359375961124897, 0.008811268955469131, 0.019743015989661217, -0.0682593509554863, 0.018039003014564514, -0.028926340863108635, -0.002184935612604022, 0.010078703984618187, -0.04...
45036a0d-98be-4df3-9377-21245c232acb
| Feature | Supported? | |---------------------------------------------------------------...
{"source_file": "index.md"}
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66ea1fb2-df0f-4272-8a30-c47a49b2a335
| rank() , dense_rank() , row_number() | βœ… Alias: denseRank() | | percent_rank() | βœ… Effic...
{"source_file": "index.md"}
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2a2672bc-1c6a-4d4b-9998-3cb4a06ee296
ClickHouse-specific window functions {#clickhouse-specific-window-functions} There is also the following ClickHouse specific window function: nonNegativeDerivative(metric_column, timestamp_column[, INTERVAL X UNITS]) {#nonnegativederivativemetric_column-timestamp_column-interval-x-units} Finds non-negative deriva...
{"source_file": "index.md"}
[ -0.01589454524219036, 0.013439852744340897, 0.027255503460764885, 0.005185549147427082, -0.042001873254776, -0.06605325639247894, 0.06536015123128891, 0.032550256699323654, 0.048844899982213974, -0.008139591664075851, 0.03284969925880432, -0.08116596192121506, 0.00975461583584547, -0.01631...
0c5265e8-7e7a-4298-9009-bcb4ac786c32
Numbering rows {#numbering-rows} ``sql CREATE TABLE salaries ( team String, player String, salary UInt32, position` String ) Engine = Memory; INSERT INTO salaries FORMAT Values ('Port Elizabeth Barbarians', 'Gary Chen', 195000, 'F'), ('New Coreystad Archdukes', 'Charles Juarez', 190000, 'F'), ('Port Eli...
{"source_file": "index.md"}
[ 0.024284616112709045, -0.02268172614276409, -0.010341164655983448, -0.003822376485913992, -0.08472256362438202, 0.09335401654243469, 0.01994890347123146, 0.05041401460766792, -0.04972280561923981, 0.024111811071634293, -0.01144439447671175, 0.010985473170876503, 0.07604818046092987, -0.036...
46e89902-3fcc-4f60-9d95-f2353be2f6ca
Partitioning by column {#partitioning-by-column} ``sql CREATE TABLE wf_partition ( part_key UInt64, value UInt64, order` UInt64 ) ENGINE = Memory; INSERT INTO wf_partition FORMAT Values (1,1,1), (1,2,2), (1,3,3), (2,0,0), (3,0,0); SELECT part_key, value, order, groupArray(value) OVER (PARTIT...
{"source_file": "index.md"}
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