text stringlengths 7 2.39k | embedding listlengths 768 768 |
|---|---|
A title for the expression, i.e. a short string describing its purpose. | [
0.7973900437355042,
-0.029707984998822212,
0.5097090601921082,
-0.26991069316864014,
0.0026412184815853834,
0.041060011833906174,
-1.1033655405044556,
0.48108914494514465,
0.42143699526786804,
0.2606784403324127,
0.11945144087076187,
1.079413890838623,
0.5981817841529846,
-0.38586896657943... |
Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. Creation, truncation and append actions ... | [
0.42648985981941223,
0.9124439358711243,
0.6528870463371277,
-0.057235438376665115,
0.44398263096809387,
0.9491925239562988,
0.758777916431427,
-0.9853606224060059,
-1.0677403211593628,
0.12134427577257156,
-0.5654420852661133,
0.41320717334747314,
-0.3284561038017273,
0.5386947989463806,
... |
Custom encryption configuration (e.g., Cloud KMS keys) Structure is documented below. | [
0.18579904735088348,
0.4147598445415497,
0.33734431862831116,
0.7771810293197632,
-0.829815685749054,
-0.33936622738838196,
0.41832205653190613,
-0.6896517276763916,
0.395569384098053,
0.5542958974838257,
-1.2682888507843018,
0.6372734308242798,
-0.059936221688985825,
-0.4496263265609741,
... |
The destination table. Structure is documented below. | [
0.1593727320432663,
0.833139955997467,
0.268110066652298,
1.12330162525177,
-0.05645269900560379,
0.024874264374375343,
1.4773281812667847,
-0.49612998962402344,
-0.7928145527839661,
0.4614643454551697,
-0.4557674825191498,
0.5203534960746765,
0.8489342927932739,
-0.818981945514679,
-0.7... |
Source tables to copy. Structure is documented below. | [
-0.5461711287498474,
0.5143210291862488,
0.256883442401886,
1.2018742561340332,
-1.0096229314804077,
0.9178318381309509,
1.751512885093689,
-0.32483571767807007,
0.46615931391716003,
0.6968392729759216,
-1.5529721975326538,
1.0077768564224243,
0.29698169231414795,
-0.5830559134483337,
-0... |
Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data and uses the schema from the query result. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRIT... | [
0.05004988610744476,
0.3892197906970978,
0.7651914954185486,
-0.12230473756790161,
1.158044695854187,
0.36329981684684753,
0.9190862774848938,
-0.5905323624610901,
-0.6144453287124634,
1.0634796619415283,
-0.9725928902626038,
0.31874915957450867,
0.7859704494476318,
-0.6834976077079773,
... |
Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. Creation, truncation and append actions ... | [
0.42648985981941223,
0.9124439358711243,
0.6528870463371277,
-0.057235438376665115,
0.44398263096809387,
0.9491925239562988,
0.758777916431427,
-0.9853606224060059,
-1.0677403211593628,
0.12134427577257156,
-0.5654420852661133,
0.41320717334747314,
-0.3284561038017273,
0.5386947989463806,
... |
Custom encryption configuration (e.g., Cloud KMS keys) Structure is documented below. | [
0.18579904735088348,
0.4147598445415497,
0.33734431862831116,
0.7771810293197632,
-0.829815685749054,
-0.33936622738838196,
0.41832205653190613,
-0.6896517276763916,
0.395569384098053,
0.5542958974838257,
-1.2682888507843018,
0.6372734308242798,
-0.059936221688985825,
-0.4496263265609741,
... |
The destination table. Structure is documented below. | [
0.1593727320432663,
0.833139955997467,
0.268110066652298,
1.12330162525177,
-0.05645269900560379,
0.024874264374375343,
1.4773281812667847,
-0.49612998962402344,
-0.7928145527839661,
0.4614643454551697,
-0.4557674825191498,
0.5203534960746765,
0.8489342927932739,
-0.818981945514679,
-0.7... |
Source tables to copy. Structure is documented below. | [
-0.5461711287498474,
0.5143210291862488,
0.256883442401886,
1.2018742561340332,
-1.0096229314804077,
0.9178318381309509,
1.751512885093689,
-0.32483571767807007,
0.46615931391716003,
0.6968392729759216,
-1.5529721975326538,
1.0077768564224243,
0.29698169231414795,
-0.5830559134483337,
-0... |
Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data and uses the schema from the query result. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRIT... | [
0.05004988610744476,
0.3892197906970978,
0.7651914954185486,
-0.12230473756790161,
1.158044695854187,
0.36329981684684753,
0.9190862774848938,
-0.5905323624610901,
-0.6144453287124634,
1.0634796619415283,
-0.9725928902626038,
0.31874915957450867,
0.7859704494476318,
-0.6834976077079773,
... |
Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key. | [
0.4286334216594696,
0.5826209783554077,
0.34659236669540405,
0.9596099853515625,
0.11400867998600006,
0.14779101312160492,
-0.35192182660102844,
-0.1447068303823471,
-0.12865348160266876,
0.7860217690467834,
0.19401323795318604,
1.2179107666015625,
0.47014448046684265,
-0.9870312213897705,... |
(Output) Describes the Cloud KMS encryption key version used to protect destination BigQuery table. | [
0.4875181317329407,
-0.24139657616615295,
0.30410775542259216,
0.8908384442329407,
-0.3433983027935028,
0.026460817083716393,
0.10754909366369247,
-0.5295934081077576,
-0.6436887979507446,
1.270568609237671,
-0.4512585699558258,
0.6984187960624695,
1.0339386463165283,
-0.9902549982070923,
... |
Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key. | [
0.4286334216594696,
0.5826209783554077,
0.34659236669540405,
0.9596099853515625,
0.11400867998600006,
0.14779101312160492,
-0.35192182660102844,
-0.1447068303823471,
-0.12865348160266876,
0.7860217690467834,
0.19401323795318604,
1.2179107666015625,
0.47014448046684265,
-0.9870312213897705,... |
(Output) Describes the Cloud KMS encryption key version used to protect destination BigQuery table. | [
0.4875181317329407,
-0.24139657616615295,
0.30410775542259216,
0.8908384442329407,
-0.3433983027935028,
0.026460817083716393,
0.10754909366369247,
-0.5295934081077576,
-0.6436887979507446,
1.270568609237671,
-0.4512585699558258,
0.6984187960624695,
1.0339386463165283,
-0.9902549982070923,
... |
The ID of the dataset containing this table. | [
1.0541642904281616,
0.625724732875824,
0.1323775053024292,
0.2152642011642456,
-0.2818414866924286,
0.9333950281143188,
0.5742558240890503,
0.005324858706444502,
0.26165634393692017,
-1.5825841426849365,
0.6232261657714844,
0.9766364097595215,
0.38808736205101013,
0.0848458781838417,
-0.... |
The ID of the project containing this table. | [
1.4606091976165771,
0.9880596995353699,
0.3611504137516022,
1.0987273454666138,
0.16833502054214478,
1.28862726688385,
1.0189838409423828,
-0.3017210364341736,
0.042964037507772446,
-0.43906494975090027,
0.8523634076118469,
-0.17238426208496094,
-0.6264753341674805,
-0.28905466198921204,
... |
The ID of the dataset containing this table. | [
1.0541642904281616,
0.625724732875824,
0.1323775053024292,
0.2152642011642456,
-0.2818414866924286,
0.9333950281143188,
0.5742558240890503,
0.005324858706444502,
0.26165634393692017,
-1.5825841426849365,
0.6232261657714844,
0.9766364097595215,
0.38808736205101013,
0.0848458781838417,
-0.... |
The ID of the project containing this table. | [
1.4606091976165771,
0.9880596995353699,
0.3611504137516022,
1.0987273454666138,
0.16833502054214478,
1.28862726688385,
1.0189838409423828,
-0.3017210364341736,
0.042964037507772446,
-0.43906494975090027,
0.8523634076118469,
-0.17238426208496094,
-0.6264753341674805,
-0.28905466198921204,
... |
The ID of the dataset containing this table. | [
1.0541642904281616,
0.625724732875824,
0.1323775053024292,
0.2152642011642456,
-0.2818414866924286,
0.9333950281143188,
0.5742558240890503,
0.005324858706444502,
0.26165634393692017,
-1.5825841426849365,
0.6232261657714844,
0.9766364097595215,
0.38808736205101013,
0.0848458781838417,
-0.... |
The ID of the project containing this table. | [
1.4606091976165771,
0.9880596995353699,
0.3611504137516022,
1.0987273454666138,
0.16833502054214478,
1.28862726688385,
1.0189838409423828,
-0.3017210364341736,
0.042964037507772446,
-0.43906494975090027,
0.8523634076118469,
-0.17238426208496094,
-0.6264753341674805,
-0.28905466198921204,
... |
The compression type to use for exported files. Possible values include GZIP, DEFLATE, SNAPPY, and NONE. The default value is NONE. DEFLATE and SNAPPY are only supported for Avro. | [
1.5073639154434204,
0.31314516067504883,
0.5969210863113403,
0.8557299375534058,
-0.06502494215965271,
-0.15042085945606232,
0.38115426898002625,
-1.181693196296692,
0.9230917692184448,
0.11489947140216827,
-0.400976300239563,
-0.32755348086357117,
-0.3522666096687317,
0.22071819007396698,... |
The exported file format. Possible values include CSV, NEWLINE_DELIMITED_JSON and AVRO for tables and SAVED_MODEL for models. The default value for tables is CSV. Tables with nested or repeated fields cannot be exported as CSV. The default value for models is SAVED_MODEL. | [
0.7189133763313293,
0.005189402494579554,
0.3129900395870209,
1.0482138395309448,
0.12848375737667084,
0.820896565914154,
0.31153640151023865,
-0.6077764630317688,
-0.4470338821411133,
-0.332732617855072,
-0.5006539225578308,
0.06103402003645897,
0.2655858099460602,
0.9471914172172546,
-... |
A list of fullyqualified Google Cloud Storage URIs where the extracted table should be written. | [
-0.6631385684013367,
-0.060675911605358124,
0.38052812218666077,
1.5172759294509888,
1.4462188482284546,
0.34578055143356323,
0.5989842414855957,
1.4981229305267334,
-0.745188295841217,
-0.4088338017463684,
-0.7440075278282166,
-0.43254852294921875,
0.15029969811439514,
-0.4842447936534881... |
When extracting data in CSV format, this defines the delimiter to use between fields in the exported data. Default is ',' | [
0.10564202070236206,
-0.5456340312957764,
0.5164889693260193,
-0.016363538801670074,
0.14010222256183624,
0.8824976086616516,
-1.1198606491088867,
0.13293395936489105,
0.5709139704704285,
-0.4052765965461731,
-0.7745474576950073,
0.04398408159613609,
-0.03472888097167015,
-1.01423132419586... |
Whether to print out a header row in the results. Default is true. | [
-0.08222124725580215,
0.44398659467697144,
0.5355023145675659,
0.3937114179134369,
0.06602262705564499,
0.5447146892547607,
-0.17092734575271606,
-0.4567495882511139,
-0.2482939511537552,
-0.3024916350841522,
0.9421051740646362,
-0.19608746469020844,
-0.8017463684082031,
-0.276088684797287... |
A reference to the model being exported. Structure is documented below. | [
0.6536813974380493,
0.32592010498046875,
0.2564929127693176,
0.7111853361129761,
0.7587366104125977,
0.978523850440979,
1.3318318128585815,
-1.0528711080551147,
0.7301819324493408,
-0.05055542290210724,
-0.42777445912361145,
0.9992620348930359,
0.2185056507587433,
-0.4623008668422699,
-0... |
A reference to the table being exported. Structure is documented below. | [
1.2787538766860962,
0.8157400488853455,
0.39924171566963196,
0.9903148412704468,
0.4251818060874939,
0.34318459033966064,
1.4323511123657227,
-0.9053781032562256,
0.3668423295021057,
-0.6286885142326355,
0.43379661440849304,
1.7389813661575317,
0.029311981052160263,
-0.22230595350265503,
... |
Whether to use logical types when extracting to AVRO format. | [
1.6342333555221558,
-0.17332063615322113,
0.3559759855270386,
-0.10921229422092438,
0.12687039375305176,
-0.2598035931587219,
0.07068566232919693,
-0.826344907283783,
0.6537818908691406,
0.5020219683647156,
0.4743322432041168,
-0.19412675499916077,
-0.11418730020523071,
-0.1949796229600906... |
The compression type to use for exported files. Possible values include GZIP, DEFLATE, SNAPPY, and NONE. The default value is NONE. DEFLATE and SNAPPY are only supported for Avro. | [
1.5073639154434204,
0.31314516067504883,
0.5969210863113403,
0.8557299375534058,
-0.06502494215965271,
-0.15042085945606232,
0.38115426898002625,
-1.181693196296692,
0.9230917692184448,
0.11489947140216827,
-0.400976300239563,
-0.32755348086357117,
-0.3522666096687317,
0.22071819007396698,... |
The exported file format. Possible values include CSV, NEWLINE_DELIMITED_JSON and AVRO for tables and SAVED_MODEL for models. The default value for tables is CSV. Tables with nested or repeated fields cannot be exported as CSV. The default value for models is SAVED_MODEL. | [
0.7189133763313293,
0.005189402494579554,
0.3129900395870209,
1.0482138395309448,
0.12848375737667084,
0.820896565914154,
0.31153640151023865,
-0.6077764630317688,
-0.4470338821411133,
-0.332732617855072,
-0.5006539225578308,
0.06103402003645897,
0.2655858099460602,
0.9471914172172546,
-... |
A list of fullyqualified Google Cloud Storage URIs where the extracted table should be written. | [
-0.6631385684013367,
-0.060675911605358124,
0.38052812218666077,
1.5172759294509888,
1.4462188482284546,
0.34578055143356323,
0.5989842414855957,
1.4981229305267334,
-0.745188295841217,
-0.4088338017463684,
-0.7440075278282166,
-0.43254852294921875,
0.15029969811439514,
-0.4842447936534881... |
When extracting data in CSV format, this defines the delimiter to use between fields in the exported data. Default is ',' | [
0.10564202070236206,
-0.5456340312957764,
0.5164889693260193,
-0.016363538801670074,
0.14010222256183624,
0.8824976086616516,
-1.1198606491088867,
0.13293395936489105,
0.5709139704704285,
-0.4052765965461731,
-0.7745474576950073,
0.04398408159613609,
-0.03472888097167015,
-1.01423132419586... |
Whether to print out a header row in the results. Default is true. | [
-0.08222124725580215,
0.44398659467697144,
0.5355023145675659,
0.3937114179134369,
0.06602262705564499,
0.5447146892547607,
-0.17092734575271606,
-0.4567495882511139,
-0.2482939511537552,
-0.3024916350841522,
0.9421051740646362,
-0.19608746469020844,
-0.8017463684082031,
-0.276088684797287... |
A reference to the model being exported. Structure is documented below. | [
0.6536813974380493,
0.32592010498046875,
0.2564929127693176,
0.7111853361129761,
0.7587366104125977,
0.978523850440979,
1.3318318128585815,
-1.0528711080551147,
0.7301819324493408,
-0.05055542290210724,
-0.42777445912361145,
0.9992620348930359,
0.2185056507587433,
-0.4623008668422699,
-0... |
A reference to the table being exported. Structure is documented below. | [
1.2787538766860962,
0.8157400488853455,
0.39924171566963196,
0.9903148412704468,
0.4251818060874939,
0.34318459033966064,
1.4323511123657227,
-0.9053781032562256,
0.3668423295021057,
-0.6286885142326355,
0.43379661440849304,
1.7389813661575317,
0.029311981052160263,
-0.22230595350265503,
... |
Whether to use logical types when extracting to AVRO format. | [
1.6342333555221558,
-0.17332063615322113,
0.3559759855270386,
-0.10921229422092438,
0.12687039375305176,
-0.2598035931587219,
0.07068566232919693,
-0.826344907283783,
0.6537818908691406,
0.5020219683647156,
0.4743322432041168,
-0.19412675499916077,
-0.11418730020523071,
-0.1949796229600906... |
The ID of the dataset containing this model. | [
1.2214707136154175,
0.10878981649875641,
0.19466087222099304,
-0.3180420398712158,
-0.021409068256616592,
1.0005768537521362,
0.5824080109596252,
-0.008959579281508923,
0.7837369441986084,
-1.7725470066070557,
0.20482312142848969,
0.823792576789856,
0.1992875039577484,
0.1661725640296936,
... |
The ID of the model. | [
0.978611946105957,
-0.4678959250450134,
0.04493221268057823,
0.5647502541542053,
1.8454922437667847,
1.6320059299468994,
0.3289845883846283,
0.2653367519378662,
0.7176105976104736,
0.12482625246047974,
-0.8538162112236023,
-0.06610050052404404,
0.1583137810230255,
0.37377581000328064,
-0... |
The ID of the project containing this model. | [
1.5683199167251587,
0.23298178613185883,
0.40310776233673096,
0.5892590284347534,
0.33700504899024963,
1.520914912223816,
1.2009859085083008,
-0.31062546372413635,
0.3620279133319855,
-0.6212833523750305,
0.37059250473976135,
-0.3521202504634857,
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The ID of the dataset containing this model. | [
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The ID of the model. | [
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The ID of the project containing this model. | [
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The ID of the dataset containing this table. | [
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The ID of the project containing this table. | [
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The ID of the dataset containing this table. | [
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The ID of the project containing this table. | [
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Accept rows that are missing trailing optional columns. The missing values are treated as nulls. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. Only applicable to CSV, ignored ... | [
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Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false. | [
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Indicates if we should automatically infer the options and schema for CSV and JSON sources. | [
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Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. Creation, truncation and append actions ... | [
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Custom encryption configuration (e.g., Cloud KMS keys) Structure is documented below. | [
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The destination table to load the data into. Structure is documented below. | [
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The character encoding of the data. The supported values are UTF8 or ISO88591. The default value is UTF8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties. | [
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The separator for fields in a CSV file. The separator can be any ISO88591 singlebyte character. To use a character in the range 128255, you must encode the character as UTF8. BigQuery converts the string to ISO88591 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state.... | [
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Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sou... | [
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If sourceFormat is set to newlinedelimited JSON, indicates whether it should be processed as a JSON variant such as GeoJSON. For a sourceFormat other than JSON, omit this field. If the sourceFormat is newlinedelimited JSON: for newlinedelimited GeoJSON: set to GEOJSON. | [
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The maximum number of bad records that BigQuery can ignore when running the job. If the number of bad records exceeds this value, an invalid error is returned in the job result. The default value is 0, which requires that all records are valid. | [
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Specifies a string that represents a null value in a CSV file. The default value is the empty string. If you set this property to a custom value, BigQuery throws an error if an empty string is present for all data types except for STRING and BYTE. For STRING and BYTE columns, BigQuery interprets the empty string as an ... | [
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Parquet Options for load and make external tables. Structure is documented below. | [
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If sourceFormat is set to "DATASTORE_BACKUP", indicates which entity properties to load into BigQuery from a Cloud Datastore backup. Property names are case sensitive and must be toplevel properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore ... | [
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The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO88591 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a doublequote ('"'). If your data does not contain quoted sections, set the property value t... | [
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Allows the schema of the destination table to be updated as a side effect of the load job if a schema is autodetected or supplied in the job configuration. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a part... | [
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The number of rows at the top of a CSV file that BigQuery will skip when loading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped. When autodetect is on, the behavior is the following: skipLeadingRows unspecified Autodetect tries to detect headers in t... | [
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The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For newlinedelimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". For parquet, specify "PARQUET". For orc, specify "ORC". [Beta] For Bigtable, specify "BIGTABLE". The default value is CSV. | [
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The fullyqualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '\' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and ... | [
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Timebased partitioning specification for the destination table. Structure is documented below. | [
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Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data and uses the schema from the query result. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRIT... | [
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Accept rows that are missing trailing optional columns. The missing values are treated as nulls. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. Only applicable to CSV, ignored ... | [
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Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false. | [
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Indicates if we should automatically infer the options and schema for CSV and JSON sources. | [
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Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. Creation, truncation and append actions ... | [
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Custom encryption configuration (e.g., Cloud KMS keys) Structure is documented below. | [
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The destination table to load the data into. Structure is documented below. | [
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The character encoding of the data. The supported values are UTF8 or ISO88591. The default value is UTF8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties. | [
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The separator for fields in a CSV file. The separator can be any ISO88591 singlebyte character. To use a character in the range 128255, you must encode the character as UTF8. BigQuery converts the string to ISO88591 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state.... | [
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Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sou... | [
-0.0274148341268301,
0.3475029766559601,
0.47233518958091736,
-0.7326271533966064,
-0.899269700050354,
1.1199144124984741,
-0.32367104291915894,
-0.17595340311527252,
0.073828786611557,
-0.719703733921051,
-0.8038103580474854,
0.4035181403160095,
-0.3317341208457947,
0.7916963696479797,
... |
If sourceFormat is set to newlinedelimited JSON, indicates whether it should be processed as a JSON variant such as GeoJSON. For a sourceFormat other than JSON, omit this field. If the sourceFormat is newlinedelimited JSON: for newlinedelimited GeoJSON: set to GEOJSON. | [
-0.18821284174919128,
-0.7933468222618103,
0.45562055706977844,
-1.0843204259872437,
-0.9461615681648254,
0.8510003089904785,
-0.5777593851089478,
-0.7347642183303833,
0.3175915777683258,
-0.17543785274028778,
-0.5882968902587891,
0.412075400352478,
0.2618529498577118,
-0.021890789270401,
... |
The maximum number of bad records that BigQuery can ignore when running the job. If the number of bad records exceeds this value, an invalid error is returned in the job result. The default value is 0, which requires that all records are valid. | [
1.0316983461380005,
0.030135730281472206,
0.9993882775306702,
0.44462376832962036,
0.3873361349105835,
0.643286943435669,
-0.07360605150461197,
0.7870088815689087,
-0.3983044922351837,
-0.5195326805114746,
-0.7052609324455261,
0.2040518820285797,
-1.0261911153793335,
-0.023322954773902893,... |
Specifies a string that represents a null value in a CSV file. The default value is the empty string. If you set this property to a custom value, BigQuery throws an error if an empty string is present for all data types except for STRING and BYTE. For STRING and BYTE columns, BigQuery interprets the empty string as an ... | [
0.789182186126709,
-0.7165674567222595,
0.563198447227478,
-0.19057103991508484,
0.2313184291124344,
0.8071323037147522,
-0.32266533374786377,
-0.5258489847183228,
0.22928065061569214,
-0.702340841293335,
0.03793705627322197,
1.1920897960662842,
0.5072569847106934,
-0.3238334655761719,
-... |
Parquet Options for load and make external tables. Structure is documented below. | [
0.5996246933937073,
0.8043575286865234,
0.3535420894622803,
0.1372339129447937,
-0.5754556059837341,
0.8918358087539673,
1.0029759407043457,
-0.3756149113178253,
0.01631515845656395,
-0.2709617018699646,
-0.8829637169837952,
0.5716120600700378,
0.6369330286979675,
-0.5723732113838196,
-0... |
If sourceFormat is set to "DATASTORE_BACKUP", indicates which entity properties to load into BigQuery from a Cloud Datastore backup. Property names are case sensitive and must be toplevel properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore ... | [
0.0007505192770622671,
-0.35457801818847656,
0.554553747177124,
-0.5218855738639832,
0.18154384195804596,
-0.1659037470817566,
0.005809121299535036,
0.18484105169773102,
0.2857547700405121,
-0.7942789793014526,
-0.4957409203052521,
-0.01952992007136345,
0.2965042293071747,
-0.3668668568134... |
The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO88591 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a doublequote ('"'). If your data does not contain quoted sections, set the property value t... | [
1.0264793634414673,
-0.6107438206672668,
0.5417284965515137,
-0.1823379248380661,
0.23743636906147003,
0.9061771035194397,
-0.33044400811195374,
-0.773990273475647,
0.21990419924259186,
-0.2502822279930115,
0.18258239328861237,
0.818438708782196,
-0.05138075351715088,
-0.24134904146194458,... |
Allows the schema of the destination table to be updated as a side effect of the load job if a schema is autodetected or supplied in the job configuration. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a part... | [
-0.5412870049476624,
-0.2195863276720047,
0.7583217024803162,
0.1185200959444046,
-0.5981113314628601,
-0.09760083258152008,
0.5864417552947998,
0.13553676009178162,
-0.3308999538421631,
0.6038355231285095,
-0.08625753223896027,
0.27344319224357605,
0.05809665843844414,
-0.6152942776679993... |
The number of rows at the top of a CSV file that BigQuery will skip when loading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped. When autodetect is on, the behavior is the following: skipLeadingRows unspecified Autodetect tries to detect headers in t... | [
0.20883223414421082,
-0.42531120777130127,
0.738909125328064,
-0.1552315056324005,
0.20764057338237762,
0.8766275644302368,
0.9966657757759094,
-0.10935068875551224,
0.24894556403160095,
-0.20198357105255127,
-0.14408710598945618,
0.49814632534980774,
-0.3550598621368408,
0.114352405071258... |
The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For newlinedelimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". For parquet, specify "PARQUET". For orc, specify "ORC". [Beta] For Bigtable, specify "BIGTABLE". The default value is CSV. | [
0.6363111734390259,
-0.3864894509315491,
0.31623244285583496,
-0.5940507650375366,
0.6905694603919983,
0.3914274573326111,
-0.24918746948242188,
0.11843134462833405,
-0.5761898159980774,
-0.46041643619537354,
-0.28976696729660034,
0.09547106176614761,
0.5201866626739502,
0.3415359556674957... |
The fullyqualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '\' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and ... | [
-1.170510172843933,
0.6007872819900513,
0.621429443359375,
0.18818329274654388,
0.17841078341007233,
0.4310275614261627,
-0.31435495615005493,
0.35414522886276245,
-0.9013462066650391,
-0.7447399497032166,
-0.8649454116821289,
0.5975867509841919,
-0.4019924998283386,
-0.4329287111759186,
... |
Timebased partitioning specification for the destination table. Structure is documented below. | [
0.14291329681873322,
1.0699474811553955,
0.5766432881355286,
0.17986485362052917,
-0.29224902391433716,
-0.1871725618839264,
0.35033702850341797,
0.033352285623550415,
-0.9090059399604797,
1.4383342266082764,
0.32287079095840454,
-0.5712656378746033,
1.0586504936218262,
-0.8033233284950256... |
Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data and uses the schema from the query result. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRIT... | [
0.050050754100084305,
0.3892192840576172,
0.7651912569999695,
-0.12230601906776428,
1.1580445766448975,
0.36329972743988037,
0.919086217880249,
-0.590532660484314,
-0.6144465804100037,
1.063478708267212,
-0.9725936055183411,
0.31874901056289673,
0.7859705090522766,
-0.6834964156150818,
-... |
Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key. | [
0.4286334216594696,
0.5826209783554077,
0.34659236669540405,
0.9596099853515625,
0.11400867998600006,
0.14779101312160492,
-0.35192182660102844,
-0.1447068303823471,
-0.12865348160266876,
0.7860217690467834,
0.19401323795318604,
1.2179107666015625,
0.47014448046684265,
-0.9870312213897705,... |
(Output) Describes the Cloud KMS encryption key version used to protect destination BigQuery table. | [
0.4875181317329407,
-0.24139657616615295,
0.30410775542259216,
0.8908384442329407,
-0.3433983027935028,
0.026460817083716393,
0.10754909366369247,
-0.5295934081077576,
-0.6436887979507446,
1.270568609237671,
-0.4512585699558258,
0.6984187960624695,
1.0339386463165283,
-0.9902549982070923,
... |
Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key. | [
0.4286334216594696,
0.5826209783554077,
0.34659236669540405,
0.9596099853515625,
0.11400867998600006,
0.14779101312160492,
-0.35192182660102844,
-0.1447068303823471,
-0.12865348160266876,
0.7860217690467834,
0.19401323795318604,
1.2179107666015625,
0.47014448046684265,
-0.9870312213897705,... |
(Output) Describes the Cloud KMS encryption key version used to protect destination BigQuery table. | [
0.4875181317329407,
-0.24139657616615295,
0.30410775542259216,
0.8908384442329407,
-0.3433983027935028,
0.026460817083716393,
0.10754909366369247,
-0.5295934081077576,
-0.6436887979507446,
1.270568609237671,
-0.4512585699558258,
0.6984187960624695,
1.0339386463165283,
-0.9902549982070923,
... |
The ID of the dataset containing this table. | [
1.0541642904281616,
0.625724732875824,
0.1323775053024292,
0.2152642011642456,
-0.2818414866924286,
0.9333950281143188,
0.5742558240890503,
0.005324858706444502,
0.26165634393692017,
-1.5825841426849365,
0.6232261657714844,
0.9766364097595215,
0.38808736205101013,
0.0848458781838417,
-0.... |
The ID of the project containing this table. | [
1.4606091976165771,
0.9880596995353699,
0.3611504137516022,
1.0987273454666138,
0.16833502054214478,
1.28862726688385,
1.0189838409423828,
-0.3017210364341736,
0.042964037507772446,
-0.43906494975090027,
0.8523634076118469,
-0.17238426208496094,
-0.6264753341674805,
-0.28905466198921204,
... |
The ID of the dataset containing this table. | [
1.0541642904281616,
0.625724732875824,
0.1323775053024292,
0.2152642011642456,
-0.2818414866924286,
0.9333950281143188,
0.5742558240890503,
0.005324858706444502,
0.26165634393692017,
-1.5825841426849365,
0.6232261657714844,
0.9766364097595215,
0.38808736205101013,
0.0848458781838417,
-0.... |
The ID of the project containing this table. | [
1.4606091976165771,
0.9880596995353699,
0.3611504137516022,
1.0987273454666138,
0.16833502054214478,
1.28862726688385,
1.0189838409423828,
-0.3017210364341736,
0.042964037507772446,
-0.43906494975090027,
0.8523634076118469,
-0.17238426208496094,
-0.6264753341674805,
-0.28905466198921204,
... |
If sourceFormat is set to PARQUET, indicates whether to use schema inference specifically for Parquet LIST logical type. | [
0.4220218062400818,
0.06065593659877777,
0.34918561577796936,
-0.3362845480442047,
0.09090334922075272,
0.8291342854499817,
-0.4646929204463959,
1.1074306964874268,
0.2337723821401596,
-0.045389555394649506,
-0.41989803314208984,
0.6532708406448364,
0.7483153939247131,
1.0710116624832153,
... |
If sourceFormat is set to PARQUET, indicates whether to infer Parquet ENUM logical type as STRING instead of BYTES by default. | [
0.46045902371406555,
-0.4603986144065857,
0.41423118114471436,
-1.0174646377563477,
0.005872671026736498,
1.5024259090423584,
-0.21031367778778076,
-0.6555619239807129,
0.4986094832420349,
-0.29410815238952637,
-0.5673154592514038,
0.30293241143226624,
-0.13929782807826996,
0.0931464284658... |
If sourceFormat is set to PARQUET, indicates whether to use schema inference specifically for Parquet LIST logical type. | [
0.4220218062400818,
0.06065593659877777,
0.34918561577796936,
-0.3362845480442047,
0.09090334922075272,
0.8291342854499817,
-0.4646929204463959,
1.1074306964874268,
0.2337723821401596,
-0.045389555394649506,
-0.41989803314208984,
0.6532708406448364,
0.7483153939247131,
1.0710116624832153,
... |
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