Update docs for 1.3.2 release.
diff --git a/docs/dyn/bigquery_v2.jobs.html b/docs/dyn/bigquery_v2.jobs.html
index 9d6da22..f0f2fdb 100644
--- a/docs/dyn/bigquery_v2.jobs.html
+++ b/docs/dyn/bigquery_v2.jobs.html
@@ -138,27 +138,33 @@
           "totalBytesProcessed": "A String", # [Output-only] Total bytes processed for this job.
         },
         "endTime": "A String", # [Output-only] End time of this job, in milliseconds since the epoch. This field will be present whenever a job is in the DONE state.
+        "extract": { # [Output-only] Statistics for an extract job.
+          "destinationUriFileCounts": [ # [Experimental] Number of files per destination URI or URI pattern specified in the extract configuration. These values will be in the same order as the URIs specified in the 'destinationUris' field.
+            "A String",
+          ],
+        },
       },
       "jobReference": { # [Optional] Reference describing the unique-per-user name of the job.
-        "projectId": "A String", # [Required] Project ID being billed for the job.
-        "jobId": "A String", # [Required] ID of the job.
+        "projectId": "A String", # [Required] The ID of the project containing this job.
+        "jobId": "A String", # [Required] The ID of the job. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024 characters.
       },
       "etag": "A String", # [Output-only] A hash of this resource.
+      "user_email": "A String", # [Output-only] Email address of the user who ran the job.
       "configuration": { # [Required] Describes the job configuration.
         "load": { # [Pick one] Configures a load job.
           "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. 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 (',').
           "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". The default value is CSV.
           "destinationTable": { # [Required] The destination table to load the data into.
-            "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-            "tableId": "A String", # [Required] ID of the table.
-            "datasetId": "A String", # [Required] ID of the dataset containing the table.
+            "projectId": "A String", # [Required] The ID of the project containing this table.
+            "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+            "datasetId": "A String", # [Required] The ID of the dataset containing this table.
           },
           "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.
           "maxBadRecords": 42, # [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 and the job fails. The default value is 0, which requires that all records are valid.
           "allowJaggedRows": True or False, # [Optional] Accept rows that are missing trailing optional columns. The missing values are treated as nulls. Default is false which treats short rows as errors. Only applicable to CSV, ignored for other formats.
           "skipLeadingRows": 42, # [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.
-          "sourceUris": [ # [Required] The fully-qualified URIs that point to your data on Google Cloud Storage.
+          "sourceUris": [ # [Required] The fully-qualified URIs that point to your data in Google Cloud Storage. Wildcard names are only supported when they appear at the end of the URI.
             "A String",
           ],
           "quote": "A String", # [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.
@@ -166,6 +172,9 @@
           "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] Names(case-sensitive) of properties to keep when importing data. If this is populated, only the specified properties will be imported for each entity. Currently, this is only supported for DATASTORE_BACKUP imports and only top level properties are supported. If any specified property is not found in the Datastore 'Kind' being imported, that is an error. Note: This feature is experimental and can change in the future.
+            "A String",
+          ],
           "ignoreUnknownValues": True or False, # [Optional] Accept rows that contain values that do not match the schema. The unknown values are ignored. Default is false which treats unknown values as errors. For CSV this ignores extra values at the end of a line. For JSON this ignores named values that do not match any column name.
           "schema": { # [Optional] The schema for the destination table. The schema can be omitted if the destination table already exists or if the schema can be inferred from the loaded data.
             "fields": [ # Describes the fields in a table.
@@ -174,8 +183,8 @@
                   # Object with schema name: TableFieldSchema
                 ],
                 "type": "A String", # [Required] The field data type. Possible values include STRING, INTEGER, FLOAT, BOOLEAN, TIMESTAMP or RECORD (where RECORD indicates that the field contains a nested schema).
-                "description": "A String", # [Optional] The field description.
-                "name": "A String", # [Required] The field name.
+                "description": "A String", # [Optional] The field description. The maximum length is 16K characters.
+                "name": "A String", # [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
                 "mode": "A String", # [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
               },
             ],
@@ -186,9 +195,9 @@
           "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.
           "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.
           "destinationTable": { # [Required] The destination table of the link job.
-            "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-            "tableId": "A String", # [Required] ID of the table.
-            "datasetId": "A String", # [Required] ID of the dataset containing the table.
+            "projectId": "A String", # [Required] The ID of the project containing this table.
+            "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+            "datasetId": "A String", # [Required] The ID of the dataset containing this table.
           },
           "sourceUri": [ # [Required] URI of source table to link.
             "A String",
@@ -198,13 +207,13 @@
           "flattenResults": True or False, # [Experimental] 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.
           "useQueryCache": True or False, # [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.
           "defaultDataset": { # [Optional] Specifies the default dataset to use for unqualified table names in the query.
-            "projectId": "A String", # [Optional] The ID of the container project.
-            "datasetId": "A String", # [Required] A unique ID for this dataset, without the project name.
+            "projectId": "A String", # [Optional] The ID of the project containing this dataset.
+            "datasetId": "A String", # [Required] A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
           },
           "destinationTable": { # [Optional] Describes the table where the query results should be stored. If not present, a new table will be created to store the results.
-            "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-            "tableId": "A String", # [Required] ID of the table.
-            "datasetId": "A String", # [Required] ID of the dataset containing the table.
+            "projectId": "A String", # [Required] The ID of the project containing this table.
+            "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+            "datasetId": "A String", # [Required] The ID of the dataset containing this table.
           },
           "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.
@@ -217,21 +226,21 @@
           "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.
           "sourceTables": [ # [Pick one] Source tables to copy.
             {
-              "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-              "tableId": "A String", # [Required] ID of the table.
-              "datasetId": "A String", # [Required] ID of the dataset containing the table.
+              "projectId": "A String", # [Required] The ID of the project containing this table.
+              "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+              "datasetId": "A String", # [Required] The ID of the dataset containing this table.
             },
           ],
           "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.
           "destinationTable": { # [Required] The destination table
-            "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-            "tableId": "A String", # [Required] ID of the table.
-            "datasetId": "A String", # [Required] ID of the dataset containing the table.
+            "projectId": "A String", # [Required] The ID of the project containing this table.
+            "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+            "datasetId": "A String", # [Required] The ID of the dataset containing this table.
           },
           "sourceTable": { # [Pick one] Source table to copy.
-            "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-            "tableId": "A String", # [Required] ID of the table.
-            "datasetId": "A String", # [Required] ID of the dataset containing the table.
+            "projectId": "A String", # [Required] The ID of the project containing this table.
+            "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+            "datasetId": "A String", # [Required] The ID of the dataset containing this table.
           },
         },
         "extract": { # [Pick one] Configures an extract job.
@@ -244,9 +253,9 @@
             "A String",
           ],
           "sourceTable": { # [Required] A reference to the table being exported.
-            "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-            "tableId": "A String", # [Required] ID of the table.
-            "datasetId": "A String", # [Required] ID of the dataset containing the table.
+            "projectId": "A String", # [Required] The ID of the project containing this table.
+            "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+            "datasetId": "A String", # [Required] The ID of the dataset containing this table.
           },
         },
       },
@@ -282,12 +291,13 @@
       },
     ],
     "jobReference": { # 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).
-      "projectId": "A String", # [Required] Project ID being billed for the job.
-      "jobId": "A String", # [Required] ID of the job.
+      "projectId": "A String", # [Required] The ID of the project containing this job.
+      "jobId": "A String", # [Required] The ID of the job. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024 characters.
     },
     "pageToken": "A String", # A token used for paging results.
     "jobComplete": True or False, # Whether the query has completed or not. If rows or totalRows are present, this will always be true. If this is false, totalRows will not be available.
     "totalRows": "A String", # The total number of rows in the complete query result set, which can be more than the number of rows in this single page of results. Present only when the query completes successfully.
+    "totalBytesProcessed": "A String", # The total number of bytes processed for this query.
     "cacheHit": True or False, # Whether the query result was fetched from the query cache.
     "etag": "A String", # A hash of this response.
     "schema": { # The schema of the results. Present only when the query completes successfully.
@@ -297,8 +307,8 @@
             # Object with schema name: TableFieldSchema
           ],
           "type": "A String", # [Required] The field data type. Possible values include STRING, INTEGER, FLOAT, BOOLEAN, TIMESTAMP or RECORD (where RECORD indicates that the field contains a nested schema).
-          "description": "A String", # [Optional] The field description.
-          "name": "A String", # [Required] The field name.
+          "description": "A String", # [Optional] The field description. The maximum length is 16K characters.
+          "name": "A String", # [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
           "mode": "A String", # [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
         },
       ],
@@ -349,27 +359,33 @@
         "totalBytesProcessed": "A String", # [Output-only] Total bytes processed for this job.
       },
       "endTime": "A String", # [Output-only] End time of this job, in milliseconds since the epoch. This field will be present whenever a job is in the DONE state.
+      "extract": { # [Output-only] Statistics for an extract job.
+        "destinationUriFileCounts": [ # [Experimental] Number of files per destination URI or URI pattern specified in the extract configuration. These values will be in the same order as the URIs specified in the 'destinationUris' field.
+          "A String",
+        ],
+      },
     },
     "jobReference": { # [Optional] Reference describing the unique-per-user name of the job.
-      "projectId": "A String", # [Required] Project ID being billed for the job.
-      "jobId": "A String", # [Required] ID of the job.
+      "projectId": "A String", # [Required] The ID of the project containing this job.
+      "jobId": "A String", # [Required] The ID of the job. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024 characters.
     },
     "etag": "A String", # [Output-only] A hash of this resource.
+    "user_email": "A String", # [Output-only] Email address of the user who ran the job.
     "configuration": { # [Required] Describes the job configuration.
       "load": { # [Pick one] Configures a load job.
         "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. 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 (',').
         "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". The default value is CSV.
         "destinationTable": { # [Required] The destination table to load the data into.
-          "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-          "tableId": "A String", # [Required] ID of the table.
-          "datasetId": "A String", # [Required] ID of the dataset containing the table.
+          "projectId": "A String", # [Required] The ID of the project containing this table.
+          "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+          "datasetId": "A String", # [Required] The ID of the dataset containing this table.
         },
         "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.
         "maxBadRecords": 42, # [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 and the job fails. The default value is 0, which requires that all records are valid.
         "allowJaggedRows": True or False, # [Optional] Accept rows that are missing trailing optional columns. The missing values are treated as nulls. Default is false which treats short rows as errors. Only applicable to CSV, ignored for other formats.
         "skipLeadingRows": 42, # [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.
-        "sourceUris": [ # [Required] The fully-qualified URIs that point to your data on Google Cloud Storage.
+        "sourceUris": [ # [Required] The fully-qualified URIs that point to your data in Google Cloud Storage. Wildcard names are only supported when they appear at the end of the URI.
           "A String",
         ],
         "quote": "A String", # [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.
@@ -377,6 +393,9 @@
         "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] Names(case-sensitive) of properties to keep when importing data. If this is populated, only the specified properties will be imported for each entity. Currently, this is only supported for DATASTORE_BACKUP imports and only top level properties are supported. If any specified property is not found in the Datastore 'Kind' being imported, that is an error. Note: This feature is experimental and can change in the future.
+          "A String",
+        ],
         "ignoreUnknownValues": True or False, # [Optional] Accept rows that contain values that do not match the schema. The unknown values are ignored. Default is false which treats unknown values as errors. For CSV this ignores extra values at the end of a line. For JSON this ignores named values that do not match any column name.
         "schema": { # [Optional] The schema for the destination table. The schema can be omitted if the destination table already exists or if the schema can be inferred from the loaded data.
           "fields": [ # Describes the fields in a table.
@@ -385,8 +404,8 @@
                 # Object with schema name: TableFieldSchema
               ],
               "type": "A String", # [Required] The field data type. Possible values include STRING, INTEGER, FLOAT, BOOLEAN, TIMESTAMP or RECORD (where RECORD indicates that the field contains a nested schema).
-              "description": "A String", # [Optional] The field description.
-              "name": "A String", # [Required] The field name.
+              "description": "A String", # [Optional] The field description. The maximum length is 16K characters.
+              "name": "A String", # [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
               "mode": "A String", # [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
             },
           ],
@@ -397,9 +416,9 @@
         "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.
         "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.
         "destinationTable": { # [Required] The destination table of the link job.
-          "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-          "tableId": "A String", # [Required] ID of the table.
-          "datasetId": "A String", # [Required] ID of the dataset containing the table.
+          "projectId": "A String", # [Required] The ID of the project containing this table.
+          "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+          "datasetId": "A String", # [Required] The ID of the dataset containing this table.
         },
         "sourceUri": [ # [Required] URI of source table to link.
           "A String",
@@ -409,13 +428,13 @@
         "flattenResults": True or False, # [Experimental] 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.
         "useQueryCache": True or False, # [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.
         "defaultDataset": { # [Optional] Specifies the default dataset to use for unqualified table names in the query.
-          "projectId": "A String", # [Optional] The ID of the container project.
-          "datasetId": "A String", # [Required] A unique ID for this dataset, without the project name.
+          "projectId": "A String", # [Optional] The ID of the project containing this dataset.
+          "datasetId": "A String", # [Required] A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
         },
         "destinationTable": { # [Optional] Describes the table where the query results should be stored. If not present, a new table will be created to store the results.
-          "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-          "tableId": "A String", # [Required] ID of the table.
-          "datasetId": "A String", # [Required] ID of the dataset containing the table.
+          "projectId": "A String", # [Required] The ID of the project containing this table.
+          "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+          "datasetId": "A String", # [Required] The ID of the dataset containing this table.
         },
         "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.
@@ -428,21 +447,21 @@
         "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.
         "sourceTables": [ # [Pick one] Source tables to copy.
           {
-            "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-            "tableId": "A String", # [Required] ID of the table.
-            "datasetId": "A String", # [Required] ID of the dataset containing the table.
+            "projectId": "A String", # [Required] The ID of the project containing this table.
+            "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+            "datasetId": "A String", # [Required] The ID of the dataset containing this table.
           },
         ],
         "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.
         "destinationTable": { # [Required] The destination table
-          "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-          "tableId": "A String", # [Required] ID of the table.
-          "datasetId": "A String", # [Required] ID of the dataset containing the table.
+          "projectId": "A String", # [Required] The ID of the project containing this table.
+          "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+          "datasetId": "A String", # [Required] The ID of the dataset containing this table.
         },
         "sourceTable": { # [Pick one] Source table to copy.
-          "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-          "tableId": "A String", # [Required] ID of the table.
-          "datasetId": "A String", # [Required] ID of the dataset containing the table.
+          "projectId": "A String", # [Required] The ID of the project containing this table.
+          "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+          "datasetId": "A String", # [Required] The ID of the dataset containing this table.
         },
       },
       "extract": { # [Pick one] Configures an extract job.
@@ -455,9 +474,9 @@
           "A String",
         ],
         "sourceTable": { # [Required] A reference to the table being exported.
-          "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-          "tableId": "A String", # [Required] ID of the table.
-          "datasetId": "A String", # [Required] ID of the dataset containing the table.
+          "projectId": "A String", # [Required] The ID of the project containing this table.
+          "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+          "datasetId": "A String", # [Required] The ID of the dataset containing this table.
         },
       },
     },
@@ -504,27 +523,33 @@
           "totalBytesProcessed": "A String", # [Output-only] Total bytes processed for this job.
         },
         "endTime": "A String", # [Output-only] End time of this job, in milliseconds since the epoch. This field will be present whenever a job is in the DONE state.
+        "extract": { # [Output-only] Statistics for an extract job.
+          "destinationUriFileCounts": [ # [Experimental] Number of files per destination URI or URI pattern specified in the extract configuration. These values will be in the same order as the URIs specified in the 'destinationUris' field.
+            "A String",
+          ],
+        },
       },
       "jobReference": { # [Optional] Reference describing the unique-per-user name of the job.
-        "projectId": "A String", # [Required] Project ID being billed for the job.
-        "jobId": "A String", # [Required] ID of the job.
+        "projectId": "A String", # [Required] The ID of the project containing this job.
+        "jobId": "A String", # [Required] The ID of the job. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024 characters.
       },
       "etag": "A String", # [Output-only] A hash of this resource.
+      "user_email": "A String", # [Output-only] Email address of the user who ran the job.
       "configuration": { # [Required] Describes the job configuration.
         "load": { # [Pick one] Configures a load job.
           "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. 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 (',').
           "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". The default value is CSV.
           "destinationTable": { # [Required] The destination table to load the data into.
-            "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-            "tableId": "A String", # [Required] ID of the table.
-            "datasetId": "A String", # [Required] ID of the dataset containing the table.
+            "projectId": "A String", # [Required] The ID of the project containing this table.
+            "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+            "datasetId": "A String", # [Required] The ID of the dataset containing this table.
           },
           "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.
           "maxBadRecords": 42, # [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 and the job fails. The default value is 0, which requires that all records are valid.
           "allowJaggedRows": True or False, # [Optional] Accept rows that are missing trailing optional columns. The missing values are treated as nulls. Default is false which treats short rows as errors. Only applicable to CSV, ignored for other formats.
           "skipLeadingRows": 42, # [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.
-          "sourceUris": [ # [Required] The fully-qualified URIs that point to your data on Google Cloud Storage.
+          "sourceUris": [ # [Required] The fully-qualified URIs that point to your data in Google Cloud Storage. Wildcard names are only supported when they appear at the end of the URI.
             "A String",
           ],
           "quote": "A String", # [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.
@@ -532,6 +557,9 @@
           "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] Names(case-sensitive) of properties to keep when importing data. If this is populated, only the specified properties will be imported for each entity. Currently, this is only supported for DATASTORE_BACKUP imports and only top level properties are supported. If any specified property is not found in the Datastore 'Kind' being imported, that is an error. Note: This feature is experimental and can change in the future.
+            "A String",
+          ],
           "ignoreUnknownValues": True or False, # [Optional] Accept rows that contain values that do not match the schema. The unknown values are ignored. Default is false which treats unknown values as errors. For CSV this ignores extra values at the end of a line. For JSON this ignores named values that do not match any column name.
           "schema": { # [Optional] The schema for the destination table. The schema can be omitted if the destination table already exists or if the schema can be inferred from the loaded data.
             "fields": [ # Describes the fields in a table.
@@ -540,8 +568,8 @@
                   # Object with schema name: TableFieldSchema
                 ],
                 "type": "A String", # [Required] The field data type. Possible values include STRING, INTEGER, FLOAT, BOOLEAN, TIMESTAMP or RECORD (where RECORD indicates that the field contains a nested schema).
-                "description": "A String", # [Optional] The field description.
-                "name": "A String", # [Required] The field name.
+                "description": "A String", # [Optional] The field description. The maximum length is 16K characters.
+                "name": "A String", # [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
                 "mode": "A String", # [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
               },
             ],
@@ -552,9 +580,9 @@
           "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.
           "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.
           "destinationTable": { # [Required] The destination table of the link job.
-            "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-            "tableId": "A String", # [Required] ID of the table.
-            "datasetId": "A String", # [Required] ID of the dataset containing the table.
+            "projectId": "A String", # [Required] The ID of the project containing this table.
+            "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+            "datasetId": "A String", # [Required] The ID of the dataset containing this table.
           },
           "sourceUri": [ # [Required] URI of source table to link.
             "A String",
@@ -564,13 +592,13 @@
           "flattenResults": True or False, # [Experimental] 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.
           "useQueryCache": True or False, # [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.
           "defaultDataset": { # [Optional] Specifies the default dataset to use for unqualified table names in the query.
-            "projectId": "A String", # [Optional] The ID of the container project.
-            "datasetId": "A String", # [Required] A unique ID for this dataset, without the project name.
+            "projectId": "A String", # [Optional] The ID of the project containing this dataset.
+            "datasetId": "A String", # [Required] A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
           },
           "destinationTable": { # [Optional] Describes the table where the query results should be stored. If not present, a new table will be created to store the results.
-            "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-            "tableId": "A String", # [Required] ID of the table.
-            "datasetId": "A String", # [Required] ID of the dataset containing the table.
+            "projectId": "A String", # [Required] The ID of the project containing this table.
+            "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+            "datasetId": "A String", # [Required] The ID of the dataset containing this table.
           },
           "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.
@@ -583,21 +611,21 @@
           "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.
           "sourceTables": [ # [Pick one] Source tables to copy.
             {
-              "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-              "tableId": "A String", # [Required] ID of the table.
-              "datasetId": "A String", # [Required] ID of the dataset containing the table.
+              "projectId": "A String", # [Required] The ID of the project containing this table.
+              "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+              "datasetId": "A String", # [Required] The ID of the dataset containing this table.
             },
           ],
           "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.
           "destinationTable": { # [Required] The destination table
-            "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-            "tableId": "A String", # [Required] ID of the table.
-            "datasetId": "A String", # [Required] ID of the dataset containing the table.
+            "projectId": "A String", # [Required] The ID of the project containing this table.
+            "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+            "datasetId": "A String", # [Required] The ID of the dataset containing this table.
           },
           "sourceTable": { # [Pick one] Source table to copy.
-            "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-            "tableId": "A String", # [Required] ID of the table.
-            "datasetId": "A String", # [Required] ID of the dataset containing the table.
+            "projectId": "A String", # [Required] The ID of the project containing this table.
+            "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+            "datasetId": "A String", # [Required] The ID of the dataset containing this table.
           },
         },
         "extract": { # [Pick one] Configures an extract job.
@@ -610,9 +638,9 @@
             "A String",
           ],
           "sourceTable": { # [Required] A reference to the table being exported.
-            "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-            "tableId": "A String", # [Required] ID of the table.
-            "datasetId": "A String", # [Required] ID of the dataset containing the table.
+            "projectId": "A String", # [Required] The ID of the project containing this table.
+            "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+            "datasetId": "A String", # [Required] The ID of the dataset containing this table.
           },
         },
       },
@@ -683,28 +711,33 @@
             "totalBytesProcessed": "A String", # [Output-only] Total bytes processed for this job.
           },
           "endTime": "A String", # [Output-only] End time of this job, in milliseconds since the epoch. This field will be present whenever a job is in the DONE state.
+          "extract": { # [Output-only] Statistics for an extract job.
+            "destinationUriFileCounts": [ # [Experimental] Number of files per destination URI or URI pattern specified in the extract configuration. These values will be in the same order as the URIs specified in the 'destinationUris' field.
+              "A String",
+            ],
+          },
         },
         "jobReference": { # Job reference uniquely identifying the job.
-          "projectId": "A String", # [Required] Project ID being billed for the job.
-          "jobId": "A String", # [Required] ID of the job.
+          "projectId": "A String", # [Required] The ID of the project containing this job.
+          "jobId": "A String", # [Required] The ID of the job. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024 characters.
         },
         "state": "A String", # Running state of the job. When the state is DONE, errorResult can be checked to determine whether the job succeeded or failed.
-        "user_email": "A String", # [Full-projection-only] User who ran the job.
+        "user_email": "A String", # [Full-projection-only] Email address of the user who ran the job.
         "configuration": { # [Full-projection-only] Specifies the job configuration.
           "load": { # [Pick one] Configures a load job.
             "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. 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 (',').
             "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". The default value is CSV.
             "destinationTable": { # [Required] The destination table to load the data into.
-              "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-              "tableId": "A String", # [Required] ID of the table.
-              "datasetId": "A String", # [Required] ID of the dataset containing the table.
+              "projectId": "A String", # [Required] The ID of the project containing this table.
+              "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+              "datasetId": "A String", # [Required] The ID of the dataset containing this table.
             },
             "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.
             "maxBadRecords": 42, # [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 and the job fails. The default value is 0, which requires that all records are valid.
             "allowJaggedRows": True or False, # [Optional] Accept rows that are missing trailing optional columns. The missing values are treated as nulls. Default is false which treats short rows as errors. Only applicable to CSV, ignored for other formats.
             "skipLeadingRows": 42, # [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.
-            "sourceUris": [ # [Required] The fully-qualified URIs that point to your data on Google Cloud Storage.
+            "sourceUris": [ # [Required] The fully-qualified URIs that point to your data in Google Cloud Storage. Wildcard names are only supported when they appear at the end of the URI.
               "A String",
             ],
             "quote": "A String", # [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.
@@ -712,6 +745,9 @@
             "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] Names(case-sensitive) of properties to keep when importing data. If this is populated, only the specified properties will be imported for each entity. Currently, this is only supported for DATASTORE_BACKUP imports and only top level properties are supported. If any specified property is not found in the Datastore 'Kind' being imported, that is an error. Note: This feature is experimental and can change in the future.
+              "A String",
+            ],
             "ignoreUnknownValues": True or False, # [Optional] Accept rows that contain values that do not match the schema. The unknown values are ignored. Default is false which treats unknown values as errors. For CSV this ignores extra values at the end of a line. For JSON this ignores named values that do not match any column name.
             "schema": { # [Optional] The schema for the destination table. The schema can be omitted if the destination table already exists or if the schema can be inferred from the loaded data.
               "fields": [ # Describes the fields in a table.
@@ -720,8 +756,8 @@
                     # Object with schema name: TableFieldSchema
                   ],
                   "type": "A String", # [Required] The field data type. Possible values include STRING, INTEGER, FLOAT, BOOLEAN, TIMESTAMP or RECORD (where RECORD indicates that the field contains a nested schema).
-                  "description": "A String", # [Optional] The field description.
-                  "name": "A String", # [Required] The field name.
+                  "description": "A String", # [Optional] The field description. The maximum length is 16K characters.
+                  "name": "A String", # [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
                   "mode": "A String", # [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
                 },
               ],
@@ -732,9 +768,9 @@
             "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.
             "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.
             "destinationTable": { # [Required] The destination table of the link job.
-              "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-              "tableId": "A String", # [Required] ID of the table.
-              "datasetId": "A String", # [Required] ID of the dataset containing the table.
+              "projectId": "A String", # [Required] The ID of the project containing this table.
+              "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+              "datasetId": "A String", # [Required] The ID of the dataset containing this table.
             },
             "sourceUri": [ # [Required] URI of source table to link.
               "A String",
@@ -744,13 +780,13 @@
             "flattenResults": True or False, # [Experimental] 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.
             "useQueryCache": True or False, # [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.
             "defaultDataset": { # [Optional] Specifies the default dataset to use for unqualified table names in the query.
-              "projectId": "A String", # [Optional] The ID of the container project.
-              "datasetId": "A String", # [Required] A unique ID for this dataset, without the project name.
+              "projectId": "A String", # [Optional] The ID of the project containing this dataset.
+              "datasetId": "A String", # [Required] A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
             },
             "destinationTable": { # [Optional] Describes the table where the query results should be stored. If not present, a new table will be created to store the results.
-              "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-              "tableId": "A String", # [Required] ID of the table.
-              "datasetId": "A String", # [Required] ID of the dataset containing the table.
+              "projectId": "A String", # [Required] The ID of the project containing this table.
+              "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+              "datasetId": "A String", # [Required] The ID of the dataset containing this table.
             },
             "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.
@@ -763,21 +799,21 @@
             "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.
             "sourceTables": [ # [Pick one] Source tables to copy.
               {
-                "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-                "tableId": "A String", # [Required] ID of the table.
-                "datasetId": "A String", # [Required] ID of the dataset containing the table.
+                "projectId": "A String", # [Required] The ID of the project containing this table.
+                "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+                "datasetId": "A String", # [Required] The ID of the dataset containing this table.
               },
             ],
             "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.
             "destinationTable": { # [Required] The destination table
-              "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-              "tableId": "A String", # [Required] ID of the table.
-              "datasetId": "A String", # [Required] ID of the dataset containing the table.
+              "projectId": "A String", # [Required] The ID of the project containing this table.
+              "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+              "datasetId": "A String", # [Required] The ID of the dataset containing this table.
             },
             "sourceTable": { # [Pick one] Source table to copy.
-              "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-              "tableId": "A String", # [Required] ID of the table.
-              "datasetId": "A String", # [Required] ID of the dataset containing the table.
+              "projectId": "A String", # [Required] The ID of the project containing this table.
+              "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+              "datasetId": "A String", # [Required] The ID of the dataset containing this table.
             },
           },
           "extract": { # [Pick one] Configures an extract job.
@@ -790,9 +826,9 @@
               "A String",
             ],
             "sourceTable": { # [Required] A reference to the table being exported.
-              "projectId": "A String", # [Required] ID of the project billed for storage of the table.
-              "tableId": "A String", # [Required] ID of the table.
-              "datasetId": "A String", # [Required] ID of the dataset containing the table.
+              "projectId": "A String", # [Required] The ID of the project containing this table.
+              "tableId": "A String", # [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
+              "datasetId": "A String", # [Required] The ID of the dataset containing this table.
             },
           },
         },
@@ -834,11 +870,11 @@
 {
     "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, don't actually run the query. A valid query will return an empty response, while an invalid query will return the same error it would if it wasn't a dry run. The default value is false.
+    "dryRun": True or False, # [Optional] If set, don't actually run this job. A valid query will return a mostly empty response with some processing statistics, while an invalid query will return the same error it would if it wasn't a dry run.
     "useQueryCache": True or False, # [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 container project.
-      "datasetId": "A String", # [Required] A unique ID for this dataset, without the project name.
+      "projectId": "A String", # [Optional] The ID of the project containing this dataset.
+      "datasetId": "A String", # [Required] A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
     },
     "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.
     "query": "A String", # [Required] A query string, following the BigQuery query syntax, of the query to execute. Example: "SELECT count(f1) FROM [myProjectId:myDatasetId.myTableId]".
@@ -861,8 +897,8 @@
       },
     ],
     "jobReference": { # 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).
-      "projectId": "A String", # [Required] Project ID being billed for the job.
-      "jobId": "A String", # [Required] ID of the job.
+      "projectId": "A String", # [Required] The ID of the project containing this job.
+      "jobId": "A String", # [Required] The ID of the job. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024 characters.
     },
     "pageToken": "A String", # A token used for paging results.
     "jobComplete": True or False, # Whether the query has completed or not. If rows or totalRows are present, this will always be true. If this is false, totalRows will not be available.
@@ -876,8 +912,8 @@
             # Object with schema name: TableFieldSchema
           ],
           "type": "A String", # [Required] The field data type. Possible values include STRING, INTEGER, FLOAT, BOOLEAN, TIMESTAMP or RECORD (where RECORD indicates that the field contains a nested schema).
-          "description": "A String", # [Optional] The field description.
-          "name": "A String", # [Required] The field name.
+          "description": "A String", # [Optional] The field description. The maximum length is 16K characters.
+          "name": "A String", # [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
           "mode": "A String", # [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
         },
       ],