Api-roll 48: 2017-04-18

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": "\"tbys6C40o18GZwyMen5GMkdK-3s/Hw3ocLnACFZ8pfeMZhrBTel37_8\"",
+    "etag": "\"YWOzh2SDasdU84ArJnpYek-OMdg/4k7_mz3_hjiHB-sQeq0R5OymfdI\"",
     "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": "20170319",
+    "revision": "20170408",
     "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 675 matching lines @@
                 "ignoreUnknownValues": {
                     "description": "[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",
                     "type": "boolean"
                 },
                 "maxBadRecords": {
                     "description": "[Optional] 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.",
                     "format": "int32",
                     "type": "integer"
                 },
                 "nullMarker": {
-                    "description": "[Optional] Specifies a string that represents a null value in a CSV file. For example, if you specify \"\\N\", BigQuery interprets \"\\N\" as a null value when loading a CSV file. The default value is the empty string. If you set this property to a custom value, BigQuery still interprets the empty string as a null value for all data types except for STRING and BYTE. For STRING and BYTE columns, BigQuery interprets the empty string as an empty value.",
+                    "description": "[Optional] Specifies a string that represents a null value in a CSV file. For example, if you specify \"\\N\", BigQuery interprets \"\\N\" as a null value when loading 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 empty value.",
                     "type": "string"
                 },
                 "projectionFields": {
                     "description": "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.",
                     "items": {
                         "type": "string"
                     },
                     "type": "array"
                 },
                 "quote": {
@@ skipping 41 matching lines @@
                     "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"
                 }
             },
             "type": "object"
         },
         "JobConfigurationQuery": {
             "id": "JobConfigurationQuery",
             "properties": {
                 "allowLargeResults": {
-                    "description": "If true, allows the query to produce arbitrarily large result tables at a slight cost in performance. Requires destinationTable to be set.",
+                    "default": "false",
+                    "description": "[Optional] If true and query uses legacy SQL dialect, allows the query to produce arbitrarily large result tables at a slight cost in performance. Requires destinationTable to be set. For standard SQL queries, this flag is ignored and large results are always allowed.",
                     "type": "boolean"
                 },
                 "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.",
                     "type": "string"
                 },
                 "defaultDataset": {
                     "$ref": "DatasetReference",
                     "description": "[Optional] Specifies the default dataset to use for unqualified table names in the query."
                 },
                 "destinationTable": {
                     "$ref": "TableReference",
                     "description": "[Optional] Describes the table where the query results should be stored. If not present, a new table will be created to store the results."
                 },
                 "flattenResults": {
                     "default": "true",
-                    "description": "[Optional] Flattens all nested and repeated fields in the query results. The default value is true. allowLargeResults must be true if this is set to false.",
+                    "description": "[Optional] If true and query uses legacy SQL dialect, flattens all nested and repeated fields in the query results. allowLargeResults must be true if this is set to false. For standard SQL queries, this flag is ignored and results are never flattened.",
                     "type": "boolean"
                 },
                 "maximumBillingTier": {
                     "default": "1",
                     "description": "[Optional] Limits the billing tier for this job. Queries that have resource usage beyond this tier will fail (without incurring a charge). If unspecified, this will be set to your project default.",
                     "format": "int32",
                     "type": "integer"
                 },
                 "maximumBytesBilled": {
                     "description": "[Optional] Limits the bytes billed for this job. Queries that will have bytes billed beyond this limit will fail (without incurring a charge). If unspecified, this will be set to your project default.",
@@ skipping 1053 matching lines @@
                     "type": "array"
                 }
             },
             "type": "object"
         }
     },
     "servicePath": "bigquery/v2/",
     "title": "BigQuery API",
     "version": "v2"
 }