Regen docs (#373)
diff --git a/docs/dyn/bigquery_v2.jobs.html b/docs/dyn/bigquery_v2.jobs.html
index 91d83ac..6a076d1 100644
--- a/docs/dyn/bigquery_v2.jobs.html
+++ b/docs/dyn/bigquery_v2.jobs.html
@@ -141,7 +141,7 @@
"totalBytesProcessed": "A String", # [Output-only] [Deprecated] Use the bytes processed in the query statistics instead.
"startTime": "A String", # [Output-only] Start time of this job, in milliseconds since the epoch. This field will be present when the job transitions from the PENDING state to either RUNNING or DONE.
"query": { # [Output-only] Statistics for a query job.
- "queryPlan": [ # [Output-only, Experimental] Describes execution plan for the query.
+ "queryPlan": [ # [Output-only] Describes execution plan for the query.
{
"status": "A String", # Current status for the stage.
"computeRatioMax": 3.14, # Relative amount of time the slowest shard spent on CPU-bound tasks.
@@ -195,7 +195,7 @@
"name": "A String", # [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.
},
],
- "numDmlAffectedRows": "A String", # [Output-only, Experimental] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.
+ "numDmlAffectedRows": "A String", # [Output-only] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.
"billingTier": 42, # [Output-only] Billing tier for the job.
"referencedTables": [ # [Output-only, Experimental] Referenced tables for the job. Queries that reference more than 50 tables will not have a complete list.
{
@@ -238,7 +238,7 @@
],
"encoding": "A String", # [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
"fieldDelimiter": "A String", # [Optional] The separator for fields in a CSV file. The separator can be any ISO-8859-1 single-byte character. To use a character in the range 128-255, you must encode the character as UTF8. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
- "autodetect": True or False, # [Experimental] Indicates if we should automatically infer the options and schema for CSV and JSON sources.
+ "autodetect": True or False, # Indicates if we should automatically infer the options and schema for CSV and JSON sources.
"sourceFormat": "A String", # [Optional] The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". The default value is CSV.
"destinationTable": { # [Required] The destination table to load the data into.
"projectId": "A String", # [Required] The ID of the project containing this table.
@@ -258,7 +258,7 @@
"schemaInlineFormat": "A String", # [Deprecated] The format of the schemaInline property.
"schemaInline": "A String", # [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".
"allowQuotedNewlines": True or False, # Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
- "projectionFields": [ # [Experimental] 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 top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
+ "projectionFields": [ # 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 top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
"A String",
],
"ignoreUnknownValues": True or False, # [Optional] 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 sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names
@@ -300,7 +300,7 @@
"priority": "A String", # [Optional] Specifies a priority for the query. Possible values include INTERACTIVE and BATCH. The default value is INTERACTIVE.
"writeDisposition": "A String", # [Optional] 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. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
"allowLargeResults": True or False, # If true, allows the query to produce arbitrarily large result tables at a slight cost in performance. Requires destinationTable to be set.
- "userDefinedFunctionResources": [ # [Experimental] Describes user-defined function resources used in the query.
+ "userDefinedFunctionResources": [ # Describes user-defined function resources used in the query.
{
"resourceUri": "A String", # [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
"inlineCode": "A String", # [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
@@ -346,7 +346,7 @@
"quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 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 double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
"allowQuotedNewlines": True or False, # [Optional] Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
},
- "autodetect": True or False, # [Experimental] Try to detect schema and format options automatically. Any option specified explicitly will be honored.
+ "autodetect": True or False, # Try to detect schema and format options automatically. Any option specified explicitly will be honored.
"maxBadRecords": 42, # [Optional] The maximum number of bad records that BigQuery can ignore when reading data. 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. This setting is ignored for Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.
"ignoreUnknownValues": True or False, # [Optional] 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 sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names Google Cloud Bigtable: This setting is ignored. Google Cloud Datastore backups: This setting is ignored. Avro: This setting is ignored.
"sourceUris": [ # [Required] The fully-qualified 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 it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups, exactly one URI can be specified, and it must end with '.backup_info'. Also, the '*' wildcard character is not allowed.
@@ -374,7 +374,7 @@
},
],
},
- "sourceFormat": "A String", # [Required] The data format. For CSV files, specify "CSV". For Google sheets, specify "GOOGLE_SHEETS". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro files, specify "AVRO". For Google Cloud Datastore backups, specify "DATASTORE_BACKUP". [Experimental] For Google Cloud Bigtable, specify "BIGTABLE". Please note that reading from Google Cloud Bigtable is experimental and has to be enabled for your project. Please contact Google Cloud Support to enable this for your project.
+ "sourceFormat": "A String", # [Required] The data format. For CSV files, specify "CSV". For Google sheets, specify "GOOGLE_SHEETS". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro files, specify "AVRO". For Google Cloud Datastore backups, specify "DATASTORE_BACKUP". [Beta] For Google Cloud Bigtable, specify "BIGTABLE".
"googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
},
@@ -393,7 +393,7 @@
},
},
},
- "parameterMode": "A String", # [Experimental] Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
+ "parameterMode": "A String", # Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
},
"copy": { # [Pick one] Copies a table.
"createDisposition": "A String", # [Optional] 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. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
@@ -480,7 +480,7 @@
"totalBytesProcessed": "A String", # [Output-only] [Deprecated] Use the bytes processed in the query statistics instead.
"startTime": "A String", # [Output-only] Start time of this job, in milliseconds since the epoch. This field will be present when the job transitions from the PENDING state to either RUNNING or DONE.
"query": { # [Output-only] Statistics for a query job.
- "queryPlan": [ # [Output-only, Experimental] Describes execution plan for the query.
+ "queryPlan": [ # [Output-only] Describes execution plan for the query.
{
"status": "A String", # Current status for the stage.
"computeRatioMax": 3.14, # Relative amount of time the slowest shard spent on CPU-bound tasks.
@@ -534,7 +534,7 @@
"name": "A String", # [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.
},
],
- "numDmlAffectedRows": "A String", # [Output-only, Experimental] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.
+ "numDmlAffectedRows": "A String", # [Output-only] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.
"billingTier": 42, # [Output-only] Billing tier for the job.
"referencedTables": [ # [Output-only, Experimental] Referenced tables for the job. Queries that reference more than 50 tables will not have a complete list.
{
@@ -577,7 +577,7 @@
],
"encoding": "A String", # [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
"fieldDelimiter": "A String", # [Optional] The separator for fields in a CSV file. The separator can be any ISO-8859-1 single-byte character. To use a character in the range 128-255, you must encode the character as UTF8. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
- "autodetect": True or False, # [Experimental] Indicates if we should automatically infer the options and schema for CSV and JSON sources.
+ "autodetect": True or False, # Indicates if we should automatically infer the options and schema for CSV and JSON sources.
"sourceFormat": "A String", # [Optional] The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". The default value is CSV.
"destinationTable": { # [Required] The destination table to load the data into.
"projectId": "A String", # [Required] The ID of the project containing this table.
@@ -597,7 +597,7 @@
"schemaInlineFormat": "A String", # [Deprecated] The format of the schemaInline property.
"schemaInline": "A String", # [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".
"allowQuotedNewlines": True or False, # Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
- "projectionFields": [ # [Experimental] 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 top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
+ "projectionFields": [ # 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 top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
"A String",
],
"ignoreUnknownValues": True or False, # [Optional] 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 sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names
@@ -639,7 +639,7 @@
"priority": "A String", # [Optional] Specifies a priority for the query. Possible values include INTERACTIVE and BATCH. The default value is INTERACTIVE.
"writeDisposition": "A String", # [Optional] 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. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
"allowLargeResults": True or False, # If true, allows the query to produce arbitrarily large result tables at a slight cost in performance. Requires destinationTable to be set.
- "userDefinedFunctionResources": [ # [Experimental] Describes user-defined function resources used in the query.
+ "userDefinedFunctionResources": [ # Describes user-defined function resources used in the query.
{
"resourceUri": "A String", # [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
"inlineCode": "A String", # [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
@@ -685,7 +685,7 @@
"quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 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 double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
"allowQuotedNewlines": True or False, # [Optional] Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
},
- "autodetect": True or False, # [Experimental] Try to detect schema and format options automatically. Any option specified explicitly will be honored.
+ "autodetect": True or False, # Try to detect schema and format options automatically. Any option specified explicitly will be honored.
"maxBadRecords": 42, # [Optional] The maximum number of bad records that BigQuery can ignore when reading data. 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. This setting is ignored for Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.
"ignoreUnknownValues": True or False, # [Optional] 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 sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names Google Cloud Bigtable: This setting is ignored. Google Cloud Datastore backups: This setting is ignored. Avro: This setting is ignored.
"sourceUris": [ # [Required] The fully-qualified 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 it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups, exactly one URI can be specified, and it must end with '.backup_info'. Also, the '*' wildcard character is not allowed.
@@ -713,7 +713,7 @@
},
],
},
- "sourceFormat": "A String", # [Required] The data format. For CSV files, specify "CSV". For Google sheets, specify "GOOGLE_SHEETS". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro files, specify "AVRO". For Google Cloud Datastore backups, specify "DATASTORE_BACKUP". [Experimental] For Google Cloud Bigtable, specify "BIGTABLE". Please note that reading from Google Cloud Bigtable is experimental and has to be enabled for your project. Please contact Google Cloud Support to enable this for your project.
+ "sourceFormat": "A String", # [Required] The data format. For CSV files, specify "CSV". For Google sheets, specify "GOOGLE_SHEETS". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro files, specify "AVRO". For Google Cloud Datastore backups, specify "DATASTORE_BACKUP". [Beta] For Google Cloud Bigtable, specify "BIGTABLE".
"googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
},
@@ -732,7 +732,7 @@
},
},
},
- "parameterMode": "A String", # [Experimental] Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
+ "parameterMode": "A String", # Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
},
"copy": { # [Pick one] Copies a table.
"createDisposition": "A String", # [Optional] 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. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
@@ -820,7 +820,7 @@
],
},
],
- "numDmlAffectedRows": "A String", # [Output-only, Experimental] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.
+ "numDmlAffectedRows": "A String", # [Output-only] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.
"schema": { # The schema of the results. Present only when the query completes successfully.
"fields": [ # Describes the fields in a table.
{
@@ -890,7 +890,7 @@
"totalBytesProcessed": "A String", # [Output-only] [Deprecated] Use the bytes processed in the query statistics instead.
"startTime": "A String", # [Output-only] Start time of this job, in milliseconds since the epoch. This field will be present when the job transitions from the PENDING state to either RUNNING or DONE.
"query": { # [Output-only] Statistics for a query job.
- "queryPlan": [ # [Output-only, Experimental] Describes execution plan for the query.
+ "queryPlan": [ # [Output-only] Describes execution plan for the query.
{
"status": "A String", # Current status for the stage.
"computeRatioMax": 3.14, # Relative amount of time the slowest shard spent on CPU-bound tasks.
@@ -944,7 +944,7 @@
"name": "A String", # [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.
},
],
- "numDmlAffectedRows": "A String", # [Output-only, Experimental] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.
+ "numDmlAffectedRows": "A String", # [Output-only] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.
"billingTier": 42, # [Output-only] Billing tier for the job.
"referencedTables": [ # [Output-only, Experimental] Referenced tables for the job. Queries that reference more than 50 tables will not have a complete list.
{
@@ -987,7 +987,7 @@
],
"encoding": "A String", # [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
"fieldDelimiter": "A String", # [Optional] The separator for fields in a CSV file. The separator can be any ISO-8859-1 single-byte character. To use a character in the range 128-255, you must encode the character as UTF8. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
- "autodetect": True or False, # [Experimental] Indicates if we should automatically infer the options and schema for CSV and JSON sources.
+ "autodetect": True or False, # Indicates if we should automatically infer the options and schema for CSV and JSON sources.
"sourceFormat": "A String", # [Optional] The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". The default value is CSV.
"destinationTable": { # [Required] The destination table to load the data into.
"projectId": "A String", # [Required] The ID of the project containing this table.
@@ -1007,7 +1007,7 @@
"schemaInlineFormat": "A String", # [Deprecated] The format of the schemaInline property.
"schemaInline": "A String", # [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".
"allowQuotedNewlines": True or False, # Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
- "projectionFields": [ # [Experimental] 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 top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
+ "projectionFields": [ # 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 top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
"A String",
],
"ignoreUnknownValues": True or False, # [Optional] 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 sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names
@@ -1049,7 +1049,7 @@
"priority": "A String", # [Optional] Specifies a priority for the query. Possible values include INTERACTIVE and BATCH. The default value is INTERACTIVE.
"writeDisposition": "A String", # [Optional] 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. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
"allowLargeResults": True or False, # If true, allows the query to produce arbitrarily large result tables at a slight cost in performance. Requires destinationTable to be set.
- "userDefinedFunctionResources": [ # [Experimental] Describes user-defined function resources used in the query.
+ "userDefinedFunctionResources": [ # Describes user-defined function resources used in the query.
{
"resourceUri": "A String", # [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
"inlineCode": "A String", # [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
@@ -1095,7 +1095,7 @@
"quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 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 double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
"allowQuotedNewlines": True or False, # [Optional] Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
},
- "autodetect": True or False, # [Experimental] Try to detect schema and format options automatically. Any option specified explicitly will be honored.
+ "autodetect": True or False, # Try to detect schema and format options automatically. Any option specified explicitly will be honored.
"maxBadRecords": 42, # [Optional] The maximum number of bad records that BigQuery can ignore when reading data. 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. This setting is ignored for Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.
"ignoreUnknownValues": True or False, # [Optional] 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 sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names Google Cloud Bigtable: This setting is ignored. Google Cloud Datastore backups: This setting is ignored. Avro: This setting is ignored.
"sourceUris": [ # [Required] The fully-qualified 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 it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups, exactly one URI can be specified, and it must end with '.backup_info'. Also, the '*' wildcard character is not allowed.
@@ -1123,7 +1123,7 @@
},
],
},
- "sourceFormat": "A String", # [Required] The data format. For CSV files, specify "CSV". For Google sheets, specify "GOOGLE_SHEETS". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro files, specify "AVRO". For Google Cloud Datastore backups, specify "DATASTORE_BACKUP". [Experimental] For Google Cloud Bigtable, specify "BIGTABLE". Please note that reading from Google Cloud Bigtable is experimental and has to be enabled for your project. Please contact Google Cloud Support to enable this for your project.
+ "sourceFormat": "A String", # [Required] The data format. For CSV files, specify "CSV". For Google sheets, specify "GOOGLE_SHEETS". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro files, specify "AVRO". For Google Cloud Datastore backups, specify "DATASTORE_BACKUP". [Beta] For Google Cloud Bigtable, specify "BIGTABLE".
"googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
},
@@ -1142,7 +1142,7 @@
},
},
},
- "parameterMode": "A String", # [Experimental] Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
+ "parameterMode": "A String", # Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
},
"copy": { # [Pick one] Copies a table.
"createDisposition": "A String", # [Optional] 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. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
@@ -1221,7 +1221,7 @@
"totalBytesProcessed": "A String", # [Output-only] [Deprecated] Use the bytes processed in the query statistics instead.
"startTime": "A String", # [Output-only] Start time of this job, in milliseconds since the epoch. This field will be present when the job transitions from the PENDING state to either RUNNING or DONE.
"query": { # [Output-only] Statistics for a query job.
- "queryPlan": [ # [Output-only, Experimental] Describes execution plan for the query.
+ "queryPlan": [ # [Output-only] Describes execution plan for the query.
{
"status": "A String", # Current status for the stage.
"computeRatioMax": 3.14, # Relative amount of time the slowest shard spent on CPU-bound tasks.
@@ -1275,7 +1275,7 @@
"name": "A String", # [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.
},
],
- "numDmlAffectedRows": "A String", # [Output-only, Experimental] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.
+ "numDmlAffectedRows": "A String", # [Output-only] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.
"billingTier": 42, # [Output-only] Billing tier for the job.
"referencedTables": [ # [Output-only, Experimental] Referenced tables for the job. Queries that reference more than 50 tables will not have a complete list.
{
@@ -1318,7 +1318,7 @@
],
"encoding": "A String", # [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
"fieldDelimiter": "A String", # [Optional] The separator for fields in a CSV file. The separator can be any ISO-8859-1 single-byte character. To use a character in the range 128-255, you must encode the character as UTF8. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
- "autodetect": True or False, # [Experimental] Indicates if we should automatically infer the options and schema for CSV and JSON sources.
+ "autodetect": True or False, # Indicates if we should automatically infer the options and schema for CSV and JSON sources.
"sourceFormat": "A String", # [Optional] The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". The default value is CSV.
"destinationTable": { # [Required] The destination table to load the data into.
"projectId": "A String", # [Required] The ID of the project containing this table.
@@ -1338,7 +1338,7 @@
"schemaInlineFormat": "A String", # [Deprecated] The format of the schemaInline property.
"schemaInline": "A String", # [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".
"allowQuotedNewlines": True or False, # Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
- "projectionFields": [ # [Experimental] 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 top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
+ "projectionFields": [ # 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 top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
"A String",
],
"ignoreUnknownValues": True or False, # [Optional] 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 sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names
@@ -1380,7 +1380,7 @@
"priority": "A String", # [Optional] Specifies a priority for the query. Possible values include INTERACTIVE and BATCH. The default value is INTERACTIVE.
"writeDisposition": "A String", # [Optional] 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. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
"allowLargeResults": True or False, # If true, allows the query to produce arbitrarily large result tables at a slight cost in performance. Requires destinationTable to be set.
- "userDefinedFunctionResources": [ # [Experimental] Describes user-defined function resources used in the query.
+ "userDefinedFunctionResources": [ # Describes user-defined function resources used in the query.
{
"resourceUri": "A String", # [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
"inlineCode": "A String", # [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
@@ -1426,7 +1426,7 @@
"quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 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 double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
"allowQuotedNewlines": True or False, # [Optional] Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
},
- "autodetect": True or False, # [Experimental] Try to detect schema and format options automatically. Any option specified explicitly will be honored.
+ "autodetect": True or False, # Try to detect schema and format options automatically. Any option specified explicitly will be honored.
"maxBadRecords": 42, # [Optional] The maximum number of bad records that BigQuery can ignore when reading data. 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. This setting is ignored for Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.
"ignoreUnknownValues": True or False, # [Optional] 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 sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names Google Cloud Bigtable: This setting is ignored. Google Cloud Datastore backups: This setting is ignored. Avro: This setting is ignored.
"sourceUris": [ # [Required] The fully-qualified 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 it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups, exactly one URI can be specified, and it must end with '.backup_info'. Also, the '*' wildcard character is not allowed.
@@ -1454,7 +1454,7 @@
},
],
},
- "sourceFormat": "A String", # [Required] The data format. For CSV files, specify "CSV". For Google sheets, specify "GOOGLE_SHEETS". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro files, specify "AVRO". For Google Cloud Datastore backups, specify "DATASTORE_BACKUP". [Experimental] For Google Cloud Bigtable, specify "BIGTABLE". Please note that reading from Google Cloud Bigtable is experimental and has to be enabled for your project. Please contact Google Cloud Support to enable this for your project.
+ "sourceFormat": "A String", # [Required] The data format. For CSV files, specify "CSV". For Google sheets, specify "GOOGLE_SHEETS". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro files, specify "AVRO". For Google Cloud Datastore backups, specify "DATASTORE_BACKUP". [Beta] For Google Cloud Bigtable, specify "BIGTABLE".
"googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
},
@@ -1473,7 +1473,7 @@
},
},
},
- "parameterMode": "A String", # [Experimental] Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
+ "parameterMode": "A String", # Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
},
"copy": { # [Pick one] Copies a table.
"createDisposition": "A String", # [Optional] 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. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
@@ -1574,7 +1574,7 @@
"totalBytesProcessed": "A String", # [Output-only] [Deprecated] Use the bytes processed in the query statistics instead.
"startTime": "A String", # [Output-only] Start time of this job, in milliseconds since the epoch. This field will be present when the job transitions from the PENDING state to either RUNNING or DONE.
"query": { # [Output-only] Statistics for a query job.
- "queryPlan": [ # [Output-only, Experimental] Describes execution plan for the query.
+ "queryPlan": [ # [Output-only] Describes execution plan for the query.
{
"status": "A String", # Current status for the stage.
"computeRatioMax": 3.14, # Relative amount of time the slowest shard spent on CPU-bound tasks.
@@ -1628,7 +1628,7 @@
"name": "A String", # [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.
},
],
- "numDmlAffectedRows": "A String", # [Output-only, Experimental] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.
+ "numDmlAffectedRows": "A String", # [Output-only] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.
"billingTier": 42, # [Output-only] Billing tier for the job.
"referencedTables": [ # [Output-only, Experimental] Referenced tables for the job. Queries that reference more than 50 tables will not have a complete list.
{
@@ -1671,7 +1671,7 @@
],
"encoding": "A String", # [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
"fieldDelimiter": "A String", # [Optional] The separator for fields in a CSV file. The separator can be any ISO-8859-1 single-byte character. To use a character in the range 128-255, you must encode the character as UTF8. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
- "autodetect": True or False, # [Experimental] Indicates if we should automatically infer the options and schema for CSV and JSON sources.
+ "autodetect": True or False, # Indicates if we should automatically infer the options and schema for CSV and JSON sources.
"sourceFormat": "A String", # [Optional] The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". The default value is CSV.
"destinationTable": { # [Required] The destination table to load the data into.
"projectId": "A String", # [Required] The ID of the project containing this table.
@@ -1691,7 +1691,7 @@
"schemaInlineFormat": "A String", # [Deprecated] The format of the schemaInline property.
"schemaInline": "A String", # [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".
"allowQuotedNewlines": True or False, # Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
- "projectionFields": [ # [Experimental] 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 top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
+ "projectionFields": [ # 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 top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
"A String",
],
"ignoreUnknownValues": True or False, # [Optional] 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 sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names
@@ -1733,7 +1733,7 @@
"priority": "A String", # [Optional] Specifies a priority for the query. Possible values include INTERACTIVE and BATCH. The default value is INTERACTIVE.
"writeDisposition": "A String", # [Optional] 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. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
"allowLargeResults": True or False, # If true, allows the query to produce arbitrarily large result tables at a slight cost in performance. Requires destinationTable to be set.
- "userDefinedFunctionResources": [ # [Experimental] Describes user-defined function resources used in the query.
+ "userDefinedFunctionResources": [ # Describes user-defined function resources used in the query.
{
"resourceUri": "A String", # [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
"inlineCode": "A String", # [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
@@ -1779,7 +1779,7 @@
"quote": """, # [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 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 double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
"allowQuotedNewlines": True or False, # [Optional] Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
},
- "autodetect": True or False, # [Experimental] Try to detect schema and format options automatically. Any option specified explicitly will be honored.
+ "autodetect": True or False, # Try to detect schema and format options automatically. Any option specified explicitly will be honored.
"maxBadRecords": 42, # [Optional] The maximum number of bad records that BigQuery can ignore when reading data. 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. This setting is ignored for Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.
"ignoreUnknownValues": True or False, # [Optional] 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 sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names Google Cloud Bigtable: This setting is ignored. Google Cloud Datastore backups: This setting is ignored. Avro: This setting is ignored.
"sourceUris": [ # [Required] The fully-qualified 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 it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups, exactly one URI can be specified, and it must end with '.backup_info'. Also, the '*' wildcard character is not allowed.
@@ -1807,7 +1807,7 @@
},
],
},
- "sourceFormat": "A String", # [Required] The data format. For CSV files, specify "CSV". For Google sheets, specify "GOOGLE_SHEETS". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro files, specify "AVRO". For Google Cloud Datastore backups, specify "DATASTORE_BACKUP". [Experimental] For Google Cloud Bigtable, specify "BIGTABLE". Please note that reading from Google Cloud Bigtable is experimental and has to be enabled for your project. Please contact Google Cloud Support to enable this for your project.
+ "sourceFormat": "A String", # [Required] The data format. For CSV files, specify "CSV". For Google sheets, specify "GOOGLE_SHEETS". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro files, specify "AVRO". For Google Cloud Datastore backups, specify "DATASTORE_BACKUP". [Beta] For Google Cloud Bigtable, specify "BIGTABLE".
"googleSheetsOptions": { # [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.
"skipLeadingRows": "A String", # [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.
},
@@ -1826,7 +1826,7 @@
},
},
},
- "parameterMode": "A String", # [Experimental] Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
+ "parameterMode": "A String", # Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
},
"copy": { # [Pick one] Copies a table.
"createDisposition": "A String", # [Optional] 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. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
@@ -1904,7 +1904,7 @@
"timeoutMs": 42, # [Optional] How long to wait for the query to complete, in milliseconds, before the request times out and returns. Note that this is only a timeout for the request, not the query. If the query takes longer to run than the timeout value, the call returns without any results and with the 'jobComplete' flag set to false. You can call GetQueryResults() to wait for the query to complete and read the results. The default value is 10000 milliseconds (10 seconds).
"kind": "bigquery#queryRequest", # The resource type of the request.
"dryRun": True or False, # [Optional] If set to true, BigQuery doesn't run the job. Instead, if the query is valid, BigQuery returns statistics about the job such as how many bytes would be processed. If the query is invalid, an error returns. The default value is false.
- "parameterMode": "A String", # [Experimental] Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
+ "parameterMode": "A String", # Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
"useQueryCache": true, # [Optional] Whether to look for the result in the query cache. The query cache is a best-effort cache that will be flushed whenever tables in the query are modified. The default value is true.
"defaultDataset": { # [Optional] Specifies the default datasetId and projectId to assume for any unqualified table names in the query. If not set, all table names in the query string must be qualified in the format 'datasetId.tableId'.
"projectId": "A String", # [Optional] The ID of the project containing this dataset.
@@ -1912,7 +1912,7 @@
},
"useLegacySql": true, # Specifies whether to use BigQuery's legacy SQL dialect for this query. The default value is true. If set to false, the query will use BigQuery's standard SQL: https://cloud.google.com/bigquery/sql-reference/ When useLegacySql is set to false, the values of allowLargeResults and flattenResults are ignored; query will be run as if allowLargeResults is true and flattenResults is false.
"maxResults": 42, # [Optional] The maximum number of rows of data to return per page of results. Setting this flag to a small value such as 1000 and then paging through results might improve reliability when the query result set is large. In addition to this limit, responses are also limited to 10 MB. By default, there is no maximum row count, and only the byte limit applies.
- "queryParameters": [ # [Experimental] Query parameters for Standard SQL queries.
+ "queryParameters": [ # Query parameters for Standard SQL queries.
{
"parameterType": { # [Required] The type of this parameter.
"structTypes": [ # [Optional] The types of the fields of this struct, in order, if this is a struct.
@@ -1973,7 +1973,7 @@
],
},
],
- "numDmlAffectedRows": "A String", # [Output-only, Experimental] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.
+ "numDmlAffectedRows": "A String", # [Output-only] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.
"schema": { # The schema of the results. Present only when the query completes successfully.
"fields": [ # Describes the fields in a table.
{