Api-roll 40: 2016-08-08

generated/googleapis/lib/bigquery/v2.dart

 // This is a generated file (see the discoveryapis_generator project).
 
 library googleapis.bigquery.v2;
 
 import 'dart:core' as core;
 import 'dart:collection' as collection;
 import 'dart:async' as async;
 import 'dart:convert' as convert;
 
 import 'package:_discoveryapis_commons/_discoveryapis_commons.dart' as commons;
@@ skipping 1406 matching lines @@
    * referenced in that query are read from Bigtable.
    */
   core.List<BigtableColumnFamily> columnFamilies;
   /**
    * [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.
    */
   core.bool ignoreUnspecifiedColumnFamilies;
+  /**
+   * [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.
+   */
+  core.bool readRowkeyAsString;
 
   BigtableOptions();
 
   BigtableOptions.fromJson(core.Map _json) {
     if (_json.containsKey("columnFamilies")) {
       columnFamilies = _json["columnFamilies"].map((value) => new BigtableColumnFamily.fromJson(value)).toList();
     }
     if (_json.containsKey("ignoreUnspecifiedColumnFamilies")) {
       ignoreUnspecifiedColumnFamilies = _json["ignoreUnspecifiedColumnFamilies"];
     }
+    if (_json.containsKey("readRowkeyAsString")) {
+      readRowkeyAsString = _json["readRowkeyAsString"];
+    }
   }
 
   core.Map toJson() {
     var _json = new core.Map();
     if (columnFamilies != null) {
       _json["columnFamilies"] = columnFamilies.map((value) => (value).toJson()).toList();
     }
     if (ignoreUnspecifiedColumnFamilies != null) {
       _json["ignoreUnspecifiedColumnFamilies"] = ignoreUnspecifiedColumnFamilies;
     }
+    if (readRowkeyAsString != null) {
+      _json["readRowkeyAsString"] = readRowkeyAsString;
+    }
     return _json;
   }
 }
 
 class CsvOptions {
   /**
    * [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
@@ skipping 841 matching lines @@
   /**
    * 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).
    */
   JobReference jobReference;
   /** The resource type of the response. */
   core.String kind;
+  /**
+   * [Output-only, Experimental] The number of rows affected by a DML statement.
+   * Present only for DML statements INSERT, UPDATE or DELETE.
+   */
+  core.String numDmlAffectedRows;
   /** A token used for paging results. */
   core.String pageToken;
   /**
    * 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.
    */
   core.List<TableRow> rows;
   /**
@@ skipping 24 matching lines @@
     }
     if (_json.containsKey("jobComplete")) {
       jobComplete = _json["jobComplete"];
     }
     if (_json.containsKey("jobReference")) {
       jobReference = new JobReference.fromJson(_json["jobReference"]);
     }
     if (_json.containsKey("kind")) {
       kind = _json["kind"];
     }
+    if (_json.containsKey("numDmlAffectedRows")) {
+      numDmlAffectedRows = _json["numDmlAffectedRows"];
+    }
     if (_json.containsKey("pageToken")) {
       pageToken = _json["pageToken"];
     }
     if (_json.containsKey("rows")) {
       rows = _json["rows"].map((value) => new TableRow.fromJson(value)).toList();
     }
     if (_json.containsKey("schema")) {
       schema = new TableSchema.fromJson(_json["schema"]);
     }
     if (_json.containsKey("totalBytesProcessed")) {
@@ skipping 17 matching lines @@
     }
     if (jobComplete != null) {
       _json["jobComplete"] = jobComplete;
     }
     if (jobReference != null) {
       _json["jobReference"] = (jobReference).toJson();
     }
     if (kind != null) {
       _json["kind"] = kind;
     }
+    if (numDmlAffectedRows != null) {
+      _json["numDmlAffectedRows"] = numDmlAffectedRows;
+    }
     if (pageToken != null) {
       _json["pageToken"] = pageToken;
     }
     if (rows != null) {
       _json["rows"] = rows.map((value) => (value).toJson()).toList();
     }
     if (schema != null) {
       _json["schema"] = (schema).toJson();
     }
     if (totalBytesProcessed != null) {
@@ skipping 1070 matching lines @@
 }
 
 class JobStatistics2 {
   /** [Output-only] Billing tier for the job. */
   core.int billingTier;
   /**
    * [Output-only] Whether the query result was fetched from the query cache.
    */
   core.bool cacheHit;
   /**
-   * [Output-only, Experimental] Describes execution plan for the query as a
-   * list of stages.
+   * [Output-only, Experimental] The number of rows affected by a DML statement.
+   * Present only for DML statements INSERT, UPDATE or DELETE.
    */
+  core.String numDmlAffectedRows;
+  /** [Output-only, Experimental] Describes execution plan for the query. */
   core.List<ExplainQueryStage> queryPlan;
   /**
    * [Output-only, Experimental] Referenced tables for the job. Queries that
    * reference more than 50 tables will not have a complete list.
    */
   core.List<TableReference> referencedTables;
   /**
    * [Output-only, Experimental] The schema of the results. Present only for
    * successful dry run of non-legacy SQL queries.
    */
   TableSchema schema;
   /** [Output-only] Total bytes billed for the job. */
   core.String totalBytesBilled;
   /** [Output-only] Total bytes processed for the job. */
   core.String totalBytesProcessed;
 
   JobStatistics2();
 
   JobStatistics2.fromJson(core.Map _json) {
     if (_json.containsKey("billingTier")) {
       billingTier = _json["billingTier"];
     }
     if (_json.containsKey("cacheHit")) {
       cacheHit = _json["cacheHit"];
     }
+    if (_json.containsKey("numDmlAffectedRows")) {
+      numDmlAffectedRows = _json["numDmlAffectedRows"];
+    }
     if (_json.containsKey("queryPlan")) {
       queryPlan = _json["queryPlan"].map((value) => new ExplainQueryStage.fromJson(value)).toList();
     }
     if (_json.containsKey("referencedTables")) {
       referencedTables = _json["referencedTables"].map((value) => new TableReference.fromJson(value)).toList();
     }
     if (_json.containsKey("schema")) {
       schema = new TableSchema.fromJson(_json["schema"]);
     }
     if (_json.containsKey("totalBytesBilled")) {
       totalBytesBilled = _json["totalBytesBilled"];
     }
     if (_json.containsKey("totalBytesProcessed")) {
       totalBytesProcessed = _json["totalBytesProcessed"];
     }
   }
 
   core.Map toJson() {
     var _json = new core.Map();
     if (billingTier != null) {
       _json["billingTier"] = billingTier;
     }
     if (cacheHit != null) {
       _json["cacheHit"] = cacheHit;
     }
+    if (numDmlAffectedRows != null) {
+      _json["numDmlAffectedRows"] = numDmlAffectedRows;
+    }
     if (queryPlan != null) {
       _json["queryPlan"] = queryPlan.map((value) => (value).toJson()).toList();
     }
     if (referencedTables != null) {
       _json["referencedTables"] = referencedTables.map((value) => (value).toJson()).toList();
     }
     if (schema != null) {
       _json["schema"] = (schema).toJson();
     }
     if (totalBytesBilled != null) {
@@ skipping 434 matching lines @@
   /**
    * 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).
    */
   JobReference jobReference;
   /** The resource type. */
   core.String kind;
+  /**
+   * [Output-only, Experimental] The number of rows affected by a DML statement.
+   * Present only for DML statements INSERT, UPDATE or DELETE.
+   */
+  core.String numDmlAffectedRows;
   /** A token used for paging results. */
   core.String pageToken;
   /**
    * 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.
    */
   core.List<TableRow> rows;
   /**
    * The schema of the results. Present only when the query completes
@@ skipping 23 matching lines @@
     }
     if (_json.containsKey("jobComplete")) {
       jobComplete = _json["jobComplete"];
     }
     if (_json.containsKey("jobReference")) {
       jobReference = new JobReference.fromJson(_json["jobReference"]);
     }
     if (_json.containsKey("kind")) {
       kind = _json["kind"];
     }
+    if (_json.containsKey("numDmlAffectedRows")) {
+      numDmlAffectedRows = _json["numDmlAffectedRows"];
+    }
     if (_json.containsKey("pageToken")) {
       pageToken = _json["pageToken"];
     }
     if (_json.containsKey("rows")) {
       rows = _json["rows"].map((value) => new TableRow.fromJson(value)).toList();
     }
     if (_json.containsKey("schema")) {
       schema = new TableSchema.fromJson(_json["schema"]);
     }
     if (_json.containsKey("totalBytesProcessed")) {
@@ skipping 14 matching lines @@
     }
     if (jobComplete != null) {
       _json["jobComplete"] = jobComplete;
     }
     if (jobReference != null) {
       _json["jobReference"] = (jobReference).toJson();
     }
     if (kind != null) {
       _json["kind"] = kind;
     }
+    if (numDmlAffectedRows != null) {
+      _json["numDmlAffectedRows"] = numDmlAffectedRows;
+    }
     if (pageToken != null) {
       _json["pageToken"] = pageToken;
     }
     if (rows != null) {
       _json["rows"] = rows.map((value) => (value).toJson()).toList();
     }
     if (schema != null) {
       _json["schema"] = (schema).toJson();
     }
     if (totalBytesProcessed != null) {
@@ skipping 876 matching lines @@
     }
     if (useLegacySql != null) {
       _json["useLegacySql"] = useLegacySql;
     }
     if (userDefinedFunctionResources != null) {
       _json["userDefinedFunctionResources"] = userDefinedFunctionResources.map((value) => (value).toJson()).toList();
     }
     return _json;
   }
 }