Api-Roll 52: 2017-07-31

discovery/googleapis/bigquery__v2.json

 {
     "auth": {
         "oauth2": {
             "scopes": {
                 "https://www.googleapis.com/auth/bigquery": {
                     "description": "View and manage your data in Google BigQuery"
                 },
                 "https://www.googleapis.com/auth/bigquery.insertdata": {
                     "description": "Insert data into Google BigQuery"
                 },
@@ skipping 14 matching lines @@
                 }
             }
         }
     },
     "basePath": "/bigquery/v2/",
     "baseUrl": "https://www.googleapis.com/bigquery/v2/",
     "batchPath": "batch",
     "description": "A data platform for customers to create, manage, share and query data.",
     "discoveryVersion": "v1",
     "documentationLink": "https://cloud.google.com/bigquery/",
-    "etag": "\"YWOzh2SDasdU84ArJnpYek-OMdg/PuNtnNg1WyrTVM4-fWu4Qm0QKgM\"",
+    "etag": "\"YWOzh2SDasdU84ArJnpYek-OMdg/wbl_PWLcOQ9nI3adoCABAX0E-tY\"",
     "icons": {
         "x16": "https://www.google.com/images/icons/product/search-16.gif",
         "x32": "https://www.google.com/images/icons/product/search-32.gif"
     },
     "id": "bigquery:v2",
     "kind": "discovery#restDescription",
     "name": "bigquery",
     "ownerDomain": "google.com",
     "ownerName": "Google",
     "parameters": {
@@ skipping 893 matching lines @@
                         "$ref": "Table"
                     },
                     "scopes": [
                         "https://www.googleapis.com/auth/bigquery",
                         "https://www.googleapis.com/auth/cloud-platform"
                     ]
                 }
             }
         }
     },
-    "revision": "20170622",
+    "revision": "20170721",
     "rootUrl": "https://www.googleapis.com/",
     "schemas": {
         "BigtableColumn": {
             "id": "BigtableColumn",
             "properties": {
                 "encoding": {
                     "description": "[Optional] The encoding of the values when the type is not STRING. Acceptable encoding values are: TEXT - indicates values are alphanumeric text strings. BINARY - indicates values are encoded using HBase Bytes.toBytes family of functions. 'encoding' can also be set at the column family level. However, the setting at this level takes precedence if 'encoding' is set at both levels.",
                     "type": "string"
                 },
                 "fieldName": {
@@ skipping 720 matching lines @@
                 "skipLeadingRows": {
                     "description": "[Optional] 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.",
                     "format": "int32",
                     "type": "integer"
                 },
                 "sourceFormat": {
                     "description": "[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.",
                     "type": "string"
                 },
                 "sourceUris": {
-                    "description": "[Required] The fully-qualified URIs that point to your data in Google Cloud Storage. Each URI can contain one '*' wildcard character and it must come after the 'bucket' name.",
+                    "description": "[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.",
                     "items": {
                         "type": "string"
                     },
                     "type": "array"
                 },
                 "writeDisposition": {
                     "description": "[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_APPEND. 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.",
                     "type": "string"
                 }
             },
@@ skipping 66 matching lines @@
                     "type": "array"
                 },
                 "tableDefinitions": {
                     "additionalProperties": {
                         "$ref": "ExternalDataConfiguration"
                     },
                     "description": "[Optional] If querying an external data source outside of BigQuery, describes the data format, location and other properties of the data source. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.",
                     "type": "object"
                 },
                 "useLegacySql": {
-                    "description": "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.",
+                    "description": "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 value of flattenResults is ignored; query will be run as if flattenResults is false.",
                     "type": "boolean"
                 },
                 "useQueryCache": {
                     "default": "true",
                     "description": "[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. Moreover, the query cache is only available when a query does not have a destination table specified. The default value is true.",
                     "type": "boolean"
                 },
                 "userDefinedFunctionResources": {
                     "description": "Describes user-defined function resources used in the query.",
                     "items": {
                         "$ref": "UserDefinedFunctionResource"
                     },
                     "type": "array"
                 },
                 "writeDisposition": {
-                    "description": "[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.",
+                    "description": "[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 and uses the schema from the query result. 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.",
                     "type": "string"
                 }
             },
             "type": "object"
         },
         "JobConfigurationTableCopy": {
             "id": "JobConfigurationTableCopy",
             "properties": {
                 "createDisposition": {
                     "description": "[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.",
@@ skipping 203 matching lines @@
                         "$ref": "QueryParameter"
                     },
                     "type": "array"
                 }
             },
             "type": "object"
         },
         "JobStatistics3": {
             "id": "JobStatistics3",
             "properties": {
+                "badRecords": {
+                    "description": "[Output-only] The number of bad records encountered. Note that if the job has failed because of more bad records encountered than the maximum allowed in the load job configuration, then this number can be less than the total number of bad records present in the input data.",
+                    "format": "int64",
+                    "type": "string"
+                },
                 "inputFileBytes": {
                     "description": "[Output-only] Number of bytes of source data in a load job.",
                     "format": "int64",
                     "type": "string"
                 },
                 "inputFiles": {
                     "description": "[Output-only] Number of source files in a load job.",
                     "format": "int64",
                     "type": "string"
                 },
@@ skipping 244 matching lines @@
                     },
                     "type": "array"
                 },
                 "timeoutMs": {
                     "description": "[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).",
                     "format": "uint32",
                     "type": "integer"
                 },
                 "useLegacySql": {
                     "default": "true",
-                    "description": "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.",
+                    "description": "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 value of flattenResults is ignored; query will be run as if flattenResults is false.",
                     "type": "boolean"
                 },
                 "useQueryCache": {
                     "default": "true",
                     "description": "[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.",
                     "type": "boolean"
                 }
             },
             "type": "object"
         },
@@ skipping 501 matching lines @@
                     "type": "array"
                 }
             },
             "type": "object"
         }
     },
     "servicePath": "bigquery/v2/",
     "title": "BigQuery API",
     "version": "v2"
 }