Api-roll 40: 2016-08-08

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": "\"C5oy1hgQsABtYOYIOXWcR3BgYqU/n-xkWA82GY-8mH6npNxIdvtk5g4\"",
+    "etag": "\"C5oy1hgQsABtYOYIOXWcR3BgYqU/8OSACAptUIIUJA3qAbwY7uhPqwg\"",
     "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 883 matching lines @@
                         "$ref": "Table"
                     },
                     "scopes": [
                         "https://www.googleapis.com/auth/bigquery",
                         "https://www.googleapis.com/auth/cloud-platform"
                     ]
                 }
             }
         }
     },
-    "revision": "20160709",
+    "revision": "20160729",
     "rootUrl": "https://www.googleapis.com/",
     "schemas": {
         "BigtableColumn": {
             "id": "BigtableColumn",
             "properties": {
                 "encoding": {
                     "description": "[Optional] The encoding of the values when the type is not STRING. Acceptable encoding values are: TEXT - indicates values are alphanumeric text strings. BINARY - indicates values are encoded using HBase Bytes.toBytes family of functions. 'encoding' can also be set at the column family level. However, the setting at this level takes precedence if 'encoding' is set at both levels.",
                     "type": "string"
                 },
                 "fieldName": {
@@ skipping 54 matching lines @@
                 "columnFamilies": {
                     "description": "[Optional] List of column families to expose in the table schema along with their types. This list restricts the column families that can be referenced in queries and specifies their value types. You can use this list to do type conversions - see the 'type' field for more details. If you leave this list empty, all column families are present in the table schema and their values are read as BYTES. During a query only the column families referenced in that query are read from Bigtable.",
                     "items": {
                         "$ref": "BigtableColumnFamily"
                     },
                     "type": "array"
                 },
                 "ignoreUnspecifiedColumnFamilies": {
                     "description": "[Optional] If field is true, then the column families that are not specified in columnFamilies list are not exposed in the table schema. Otherwise, they are read with BYTES type values. The default value is false.",
                     "type": "boolean"
+                },
+                "readRowkeyAsString": {
+                    "description": "[Optional] If field is true, then the rowkey column families will be read and converted to string. Otherwise they are read with BYTES type values and users need to manually cast them with CAST if necessary. The default value is false.",
+                    "type": "boolean"
                 }
             },
             "type": "object"
         },
         "CsvOptions": {
             "id": "CsvOptions",
             "properties": {
                 "allowJaggedRows": {
                     "description": "[Optional] Indicates if BigQuery should accept rows that are missing trailing optional columns. If true, BigQuery treats missing trailing columns as null values. 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.",
                     "type": "boolean"
@@ skipping 379 matching lines @@
                 },
                 "jobReference": {
                     "$ref": "JobReference",
                     "description": "Reference to the BigQuery Job that was created to run the query. This field will be present even if the original request timed out, in which case GetQueryResults can be used to read the results once the query has completed. Since this API only returns the first page of results, subsequent pages can be fetched via the same mechanism (GetQueryResults)."
                 },
                 "kind": {
                     "default": "bigquery#getQueryResultsResponse",
                     "description": "The resource type of the response.",
                     "type": "string"
                 },
+                "numDmlAffectedRows": {
+                    "description": "[Output-only, Experimental] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.",
+                    "format": "int64",
+                    "type": "string"
+                },
                 "pageToken": {
                     "description": "A token used for paging results.",
                     "type": "string"
                 },
                 "rows": {
                     "description": "An object with as many results as can be contained within the maximum permitted reply size. To get any additional rows, you can call GetQueryResults and specify the jobReference returned above. Present only when the query completes successfully.",
                     "items": {
                         "$ref": "TableRow"
                     },
                     "type": "array"
@@ skipping 474 matching lines @@
             "properties": {
                 "billingTier": {
                     "description": "[Output-only] Billing tier for the job.",
                     "format": "int32",
                     "type": "integer"
                 },
                 "cacheHit": {
                     "description": "[Output-only] Whether the query result was fetched from the query cache.",
                     "type": "boolean"
                 },
+                "numDmlAffectedRows": {
+                    "description": "[Output-only, Experimental] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.",
+                    "format": "int64",
+                    "type": "string"
+                },
                 "queryPlan": {
-                    "description": "[Output-only, Experimental] Describes execution plan for the query as a list of stages.",
+                    "description": "[Output-only, Experimental] Describes execution plan for the query.",
                     "items": {
                         "$ref": "ExplainQueryStage"
                     },
                     "type": "array"
                 },
                 "referencedTables": {
                     "description": "[Output-only, Experimental] Referenced tables for the job. Queries that reference more than 50 tables will not have a complete list.",
                     "items": {
                         "$ref": "TableReference"
                     },
@@ skipping 225 matching lines @@
                 },
                 "jobReference": {
                     "$ref": "JobReference",
                     "description": "Reference to the Job that was created to run the query. This field will be present even if the original request timed out, in which case GetQueryResults can be used to read the results once the query has completed. Since this API only returns the first page of results, subsequent pages can be fetched via the same mechanism (GetQueryResults)."
                 },
                 "kind": {
                     "default": "bigquery#queryResponse",
                     "description": "The resource type.",
                     "type": "string"
                 },
+                "numDmlAffectedRows": {
+                    "description": "[Output-only, Experimental] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.",
+                    "format": "int64",
+                    "type": "string"
+                },
                 "pageToken": {
                     "description": "A token used for paging results.",
                     "type": "string"
                 },
                 "rows": {
                     "description": "An object with as many results as can be contained within the maximum permitted reply size. To get any additional rows, you can call GetQueryResults and specify the jobReference returned above.",
                     "items": {
                         "$ref": "TableRow"
                     },
                     "type": "array"
@@ skipping 431 matching lines @@
                     "type": "array"
                 }
             },
             "type": "object"
         }
     },
     "servicePath": "bigquery/v2/",
     "title": "BigQuery API",
     "version": "v2"
 }