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flutter / third_party / googleapis.dart / 8c5bbdaaa328717bcd4d213b41bfde7e81ca48eb / . / generated / googleapis / lib / bigquery / v2.dart
blob: f879413f7f973172e62af818142d917913b1f75b [file] [log] [blame]
// 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;
import 'package:http/http.dart' as http;
export 'package:_discoveryapis_commons/_discoveryapis_commons.dart' show
ApiRequestError, DetailedApiRequestError, Media, UploadOptions,
ResumableUploadOptions, DownloadOptions, PartialDownloadOptions,
ByteRange;
const core.String USER_AGENT = 'dart-api-client bigquery/v2';
/** A data platform for customers to create, manage, share and query data. */
class BigqueryApi {
/** View and manage your data in Google BigQuery */
static const BigqueryScope = "https://www.googleapis.com/auth/bigquery";
/** Insert data into Google BigQuery */
static const BigqueryInsertdataScope = "https://www.googleapis.com/auth/bigquery.insertdata";
/** View and manage your data across Google Cloud Platform services */
static const CloudPlatformScope = "https://www.googleapis.com/auth/cloud-platform";
/** View your data across Google Cloud Platform services */
static const CloudPlatformReadOnlyScope = "https://www.googleapis.com/auth/cloud-platform.read-only";
/** Manage your data and permissions in Google Cloud Storage */
static const DevstorageFullControlScope = "https://www.googleapis.com/auth/devstorage.full_control";
/** View your data in Google Cloud Storage */
static const DevstorageReadOnlyScope = "https://www.googleapis.com/auth/devstorage.read_only";
/** Manage your data in Google Cloud Storage */
static const DevstorageReadWriteScope = "https://www.googleapis.com/auth/devstorage.read_write";
final commons.ApiRequester _requester;
DatasetsResourceApi get datasets => new DatasetsResourceApi(_requester);
JobsResourceApi get jobs => new JobsResourceApi(_requester);
ProjectsResourceApi get projects => new ProjectsResourceApi(_requester);
TabledataResourceApi get tabledata => new TabledataResourceApi(_requester);
TablesResourceApi get tables => new TablesResourceApi(_requester);
BigqueryApi(http.Client client, {core.String rootUrl: "https://www.googleapis.com/", core.String servicePath: "bigquery/v2/"}) :
_requester = new commons.ApiRequester(client, rootUrl, servicePath, USER_AGENT);
}
class DatasetsResourceApi {
final commons.ApiRequester _requester;
DatasetsResourceApi(commons.ApiRequester client) :
_requester = client;
/**
* Deletes the dataset specified by the datasetId value. Before you can delete
* a dataset, you must delete all its tables, either manually or by specifying
* deleteContents. Immediately after deletion, you can create another dataset
* with the same name.
*
* Request parameters:
*
* [projectId] - Project ID of the dataset being deleted
*
* [datasetId] - Dataset ID of dataset being deleted
*
* [deleteContents] - If True, delete all the tables in the dataset. If False
* and the dataset contains tables, the request will fail. Default is False
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
*
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
async.Future delete(core.String projectId, core.String datasetId, {core.bool deleteContents}) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
var _uploadOptions = null;
var _downloadOptions = commons.DownloadOptions.Metadata;
var _body = null;
if (projectId == null) {
throw new core.ArgumentError("Parameter projectId is required.");
}
if (datasetId == null) {
throw new core.ArgumentError("Parameter datasetId is required.");
}
if (deleteContents != null) {
_queryParams["deleteContents"] = ["${deleteContents}"];
}
_downloadOptions = null;
_url = 'projects/' + commons.Escaper.ecapeVariable('$projectId') + '/datasets/' + commons.Escaper.ecapeVariable('$datasetId');
var _response = _requester.request(_url,
"DELETE",
body: _body,
queryParams: _queryParams,
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
return _response.then((data) => null);
}
/**
* Returns the dataset specified by datasetID.
*
* Request parameters:
*
* [projectId] - Project ID of the requested dataset
*
* [datasetId] - Dataset ID of the requested dataset
*
* Completes with a [Dataset].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
*
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
async.Future<Dataset> get(core.String projectId, core.String datasetId) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
var _uploadOptions = null;
var _downloadOptions = commons.DownloadOptions.Metadata;
var _body = null;
if (projectId == null) {
throw new core.ArgumentError("Parameter projectId is required.");
}
if (datasetId == null) {
throw new core.ArgumentError("Parameter datasetId is required.");
}
_url = 'projects/' + commons.Escaper.ecapeVariable('$projectId') + '/datasets/' + commons.Escaper.ecapeVariable('$datasetId');
var _response = _requester.request(_url,
"GET",
body: _body,
queryParams: _queryParams,
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
return _response.then((data) => new Dataset.fromJson(data));
}
/**
* Creates a new empty dataset.
*
* [request] - The metadata request object.
*
* Request parameters:
*
* [projectId] - Project ID of the new dataset
*
* Completes with a [Dataset].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
*
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
async.Future<Dataset> insert(Dataset request, core.String projectId) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
var _uploadOptions = null;
var _downloadOptions = commons.DownloadOptions.Metadata;
var _body = null;
if (request != null) {
_body = convert.JSON.encode((request).toJson());
}
if (projectId == null) {
throw new core.ArgumentError("Parameter projectId is required.");
}
_url = 'projects/' + commons.Escaper.ecapeVariable('$projectId') + '/datasets';
var _response = _requester.request(_url,
"POST",
body: _body,
queryParams: _queryParams,
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
return _response.then((data) => new Dataset.fromJson(data));
}
/**
* Lists all datasets in the specified project to which you have been granted
* the READER dataset role.
*
* Request parameters:
*
* [projectId] - Project ID of the datasets to be listed
*
* [all] - Whether to list all datasets, including hidden ones
*
* [filter] - An expression for filtering the results of the request by label.
* The syntax is "labels.<name>[:<value>]". Multiple filters can be ANDed
* together by connecting with a space. Example: "labels.department:receiving
* labels.active". See Filtering datasets using labels for details.
*
* [maxResults] - The maximum number of results to return
*
* [pageToken] - Page token, returned by a previous call, to request the next
* page of results
*
* Completes with a [DatasetList].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
*
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
async.Future<DatasetList> list(core.String projectId, {core.bool all, core.String filter, core.int maxResults, core.String pageToken}) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
var _uploadOptions = null;
var _downloadOptions = commons.DownloadOptions.Metadata;
var _body = null;
if (projectId == null) {
throw new core.ArgumentError("Parameter projectId is required.");
}
if (all != null) {
_queryParams["all"] = ["${all}"];
}
if (filter != null) {
_queryParams["filter"] = [filter];
}
if (maxResults != null) {
_queryParams["maxResults"] = ["${maxResults}"];
}
if (pageToken != null) {
_queryParams["pageToken"] = [pageToken];
}
_url = 'projects/' + commons.Escaper.ecapeVariable('$projectId') + '/datasets';
var _response = _requester.request(_url,
"GET",
body: _body,
queryParams: _queryParams,
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
return _response.then((data) => new DatasetList.fromJson(data));
}
/**
* Updates information in an existing dataset. The update method replaces the
* entire dataset resource, whereas the patch method only replaces fields that
* are provided in the submitted dataset resource. This method supports patch
* semantics.
*
* [request] - The metadata request object.
*
* Request parameters:
*
* [projectId] - Project ID of the dataset being updated
*
* [datasetId] - Dataset ID of the dataset being updated
*
* Completes with a [Dataset].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
*
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
async.Future<Dataset> patch(Dataset request, core.String projectId, core.String datasetId) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
var _uploadOptions = null;
var _downloadOptions = commons.DownloadOptions.Metadata;
var _body = null;
if (request != null) {
_body = convert.JSON.encode((request).toJson());
}
if (projectId == null) {
throw new core.ArgumentError("Parameter projectId is required.");
}
if (datasetId == null) {
throw new core.ArgumentError("Parameter datasetId is required.");
}
_url = 'projects/' + commons.Escaper.ecapeVariable('$projectId') + '/datasets/' + commons.Escaper.ecapeVariable('$datasetId');
var _response = _requester.request(_url,
"PATCH",
body: _body,
queryParams: _queryParams,
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
return _response.then((data) => new Dataset.fromJson(data));
}
/**
* Updates information in an existing dataset. The update method replaces the
* entire dataset resource, whereas the patch method only replaces fields that
* are provided in the submitted dataset resource.
*
* [request] - The metadata request object.
*
* Request parameters:
*
* [projectId] - Project ID of the dataset being updated
*
* [datasetId] - Dataset ID of the dataset being updated
*
* Completes with a [Dataset].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
*
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
async.Future<Dataset> update(Dataset request, core.String projectId, core.String datasetId) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
var _uploadOptions = null;
var _downloadOptions = commons.DownloadOptions.Metadata;
var _body = null;
if (request != null) {
_body = convert.JSON.encode((request).toJson());
}
if (projectId == null) {
throw new core.ArgumentError("Parameter projectId is required.");
}
if (datasetId == null) {
throw new core.ArgumentError("Parameter datasetId is required.");
}
_url = 'projects/' + commons.Escaper.ecapeVariable('$projectId') + '/datasets/' + commons.Escaper.ecapeVariable('$datasetId');
var _response = _requester.request(_url,
"PUT",
body: _body,
queryParams: _queryParams,
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
return _response.then((data) => new Dataset.fromJson(data));
}
}
class JobsResourceApi {
final commons.ApiRequester _requester;
JobsResourceApi(commons.ApiRequester client) :
_requester = client;
/**
* Requests that a job be cancelled. This call will return immediately, and
* the client will need to poll for the job status to see if the cancel
* completed successfully. Cancelled jobs may still incur costs.
*
* Request parameters:
*
* [projectId] - [Required] Project ID of the job to cancel
*
* [jobId] - [Required] Job ID of the job to cancel
*
* Completes with a [JobCancelResponse].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
*
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
async.Future<JobCancelResponse> cancel(core.String projectId, core.String jobId) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
var _uploadOptions = null;
var _downloadOptions = commons.DownloadOptions.Metadata;
var _body = null;
if (projectId == null) {
throw new core.ArgumentError("Parameter projectId is required.");
}
if (jobId == null) {
throw new core.ArgumentError("Parameter jobId is required.");
}
_url = 'projects/' + commons.Escaper.ecapeVariable('$projectId') + '/jobs/' + commons.Escaper.ecapeVariable('$jobId') + '/cancel';
var _response = _requester.request(_url,
"POST",
body: _body,
queryParams: _queryParams,
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
return _response.then((data) => new JobCancelResponse.fromJson(data));
}
/**
* Returns information about a specific job. Job information is available for
* a six month period after creation. Requires that you're the person who ran
* the job, or have the Is Owner project role.
*
* Request parameters:
*
* [projectId] - [Required] Project ID of the requested job
*
* [jobId] - [Required] Job ID of the requested job
*
* Completes with a [Job].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
*
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
async.Future<Job> get(core.String projectId, core.String jobId) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
var _uploadOptions = null;
var _downloadOptions = commons.DownloadOptions.Metadata;
var _body = null;
if (projectId == null) {
throw new core.ArgumentError("Parameter projectId is required.");
}
if (jobId == null) {
throw new core.ArgumentError("Parameter jobId is required.");
}
_url = 'projects/' + commons.Escaper.ecapeVariable('$projectId') + '/jobs/' + commons.Escaper.ecapeVariable('$jobId');
var _response = _requester.request(_url,
"GET",
body: _body,
queryParams: _queryParams,
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
return _response.then((data) => new Job.fromJson(data));
}
/**
* Retrieves the results of a query job.
*
* Request parameters:
*
* [projectId] - [Required] Project ID of the query job
*
* [jobId] - [Required] Job ID of the query job
*
* [maxResults] - Maximum number of results to read
*
* [pageToken] - Page token, returned by a previous call, to request the next
* page of results
*
* [startIndex] - Zero-based index of the starting row
*
* [timeoutMs] - How long to wait for the query to complete, in milliseconds,
* before returning. Default is 10 seconds. If the timeout passes before the
* job completes, the 'jobComplete' field in the response will be false
*
* Completes with a [GetQueryResultsResponse].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
*
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
async.Future<GetQueryResultsResponse> getQueryResults(core.String projectId, core.String jobId, {core.int maxResults, core.String pageToken, core.String startIndex, core.int timeoutMs}) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
var _uploadOptions = null;
var _downloadOptions = commons.DownloadOptions.Metadata;
var _body = null;
if (projectId == null) {
throw new core.ArgumentError("Parameter projectId is required.");
}
if (jobId == null) {
throw new core.ArgumentError("Parameter jobId is required.");
}
if (maxResults != null) {
_queryParams["maxResults"] = ["${maxResults}"];
}
if (pageToken != null) {
_queryParams["pageToken"] = [pageToken];
}
if (startIndex != null) {
_queryParams["startIndex"] = [startIndex];
}
if (timeoutMs != null) {
_queryParams["timeoutMs"] = ["${timeoutMs}"];
}
_url = 'projects/' + commons.Escaper.ecapeVariable('$projectId') + '/queries/' + commons.Escaper.ecapeVariable('$jobId');
var _response = _requester.request(_url,
"GET",
body: _body,
queryParams: _queryParams,
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
return _response.then((data) => new GetQueryResultsResponse.fromJson(data));
}
/**
* Starts a new asynchronous job. Requires the Can View project role.
*
* [request] - The metadata request object.
*
* Request parameters:
*
* [projectId] - Project ID of the project that will be billed for the job
*
* [uploadMedia] - The media to upload.
*
* [uploadOptions] - Options for the media upload. Streaming Media without the
* length being known ahead of time is only supported via resumable uploads.
*
* Completes with a [Job].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
*
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
async.Future<Job> insert(Job request, core.String projectId, {commons.UploadOptions uploadOptions : commons.UploadOptions.Default, commons.Media uploadMedia}) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
var _uploadOptions = null;
var _downloadOptions = commons.DownloadOptions.Metadata;
var _body = null;
if (request != null) {
_body = convert.JSON.encode((request).toJson());
}
if (projectId == null) {
throw new core.ArgumentError("Parameter projectId is required.");
}
_uploadMedia = uploadMedia;
_uploadOptions = uploadOptions;
if (_uploadMedia == null) {
_url = 'projects/' + commons.Escaper.ecapeVariable('$projectId') + '/jobs';
} else if (_uploadOptions is commons.ResumableUploadOptions) {
_url = '/resumable/upload/bigquery/v2/projects/' + commons.Escaper.ecapeVariable('$projectId') + '/jobs';
} else {
_url = '/upload/bigquery/v2/projects/' + commons.Escaper.ecapeVariable('$projectId') + '/jobs';
}
var _response = _requester.request(_url,
"POST",
body: _body,
queryParams: _queryParams,
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
return _response.then((data) => new Job.fromJson(data));
}
/**
* Lists all jobs that you started in the specified project. Job information
* is available for a six month period after creation. The job list is sorted
* in reverse chronological order, by job creation time. Requires the Can View
* project role, or the Is Owner project role if you set the allUsers
* property.
*
* Request parameters:
*
* [projectId] - Project ID of the jobs to list
*
* [allUsers] - Whether to display jobs owned by all users in the project.
* Default false
*
* [maxResults] - Maximum number of results to return
*
* [pageToken] - Page token, returned by a previous call, to request the next
* page of results
*
* [projection] - Restrict information returned to a set of selected fields
* Possible string values are:
* - "full" : Includes all job data
* - "minimal" : Does not include the job configuration
*
* [stateFilter] - Filter for job state
*
* Completes with a [JobList].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
*
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
async.Future<JobList> list(core.String projectId, {core.bool allUsers, core.int maxResults, core.String pageToken, core.String projection, core.List<core.String> stateFilter}) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
var _uploadOptions = null;
var _downloadOptions = commons.DownloadOptions.Metadata;
var _body = null;
if (projectId == null) {
throw new core.ArgumentError("Parameter projectId is required.");
}
if (allUsers != null) {
_queryParams["allUsers"] = ["${allUsers}"];
}
if (maxResults != null) {
_queryParams["maxResults"] = ["${maxResults}"];
}
if (pageToken != null) {
_queryParams["pageToken"] = [pageToken];
}
if (projection != null) {
_queryParams["projection"] = [projection];
}
if (stateFilter != null) {
_queryParams["stateFilter"] = stateFilter;
}
_url = 'projects/' + commons.Escaper.ecapeVariable('$projectId') + '/jobs';
var _response = _requester.request(_url,
"GET",
body: _body,
queryParams: _queryParams,
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
return _response.then((data) => new JobList.fromJson(data));
}
/**
* Runs a BigQuery SQL query synchronously and returns query results if the
* query completes within a specified timeout.
*
* [request] - The metadata request object.
*
* Request parameters:
*
* [projectId] - Project ID of the project billed for the query
*
* Completes with a [QueryResponse].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
*
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
async.Future<QueryResponse> query(QueryRequest request, core.String projectId) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
var _uploadOptions = null;
var _downloadOptions = commons.DownloadOptions.Metadata;
var _body = null;
if (request != null) {
_body = convert.JSON.encode((request).toJson());
}
if (projectId == null) {
throw new core.ArgumentError("Parameter projectId is required.");
}
_url = 'projects/' + commons.Escaper.ecapeVariable('$projectId') + '/queries';
var _response = _requester.request(_url,
"POST",
body: _body,
queryParams: _queryParams,
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
return _response.then((data) => new QueryResponse.fromJson(data));
}
}
class ProjectsResourceApi {
final commons.ApiRequester _requester;
ProjectsResourceApi(commons.ApiRequester client) :
_requester = client;
/**
* Lists all projects to which you have been granted any project role.
*
* Request parameters:
*
* [maxResults] - Maximum number of results to return
*
* [pageToken] - Page token, returned by a previous call, to request the next
* page of results
*
* Completes with a [ProjectList].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
*
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
async.Future<ProjectList> list({core.int maxResults, core.String pageToken}) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
var _uploadOptions = null;
var _downloadOptions = commons.DownloadOptions.Metadata;
var _body = null;
if (maxResults != null) {
_queryParams["maxResults"] = ["${maxResults}"];
}
if (pageToken != null) {
_queryParams["pageToken"] = [pageToken];
}
_url = 'projects';
var _response = _requester.request(_url,
"GET",
body: _body,
queryParams: _queryParams,
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
return _response.then((data) => new ProjectList.fromJson(data));
}
}
class TabledataResourceApi {
final commons.ApiRequester _requester;
TabledataResourceApi(commons.ApiRequester client) :
_requester = client;
/**
* Streams data into BigQuery one record at a time without needing to run a
* load job. Requires the WRITER dataset role.
*
* [request] - The metadata request object.
*
* Request parameters:
*
* [projectId] - Project ID of the destination table.
*
* [datasetId] - Dataset ID of the destination table.
*
* [tableId] - Table ID of the destination table.
*
* Completes with a [TableDataInsertAllResponse].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
*
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
async.Future<TableDataInsertAllResponse> insertAll(TableDataInsertAllRequest request, core.String projectId, core.String datasetId, core.String tableId) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
var _uploadOptions = null;
var _downloadOptions = commons.DownloadOptions.Metadata;
var _body = null;
if (request != null) {
_body = convert.JSON.encode((request).toJson());
}
if (projectId == null) {
throw new core.ArgumentError("Parameter projectId is required.");
}
if (datasetId == null) {
throw new core.ArgumentError("Parameter datasetId is required.");
}
if (tableId == null) {
throw new core.ArgumentError("Parameter tableId is required.");
}
_url = 'projects/' + commons.Escaper.ecapeVariable('$projectId') + '/datasets/' + commons.Escaper.ecapeVariable('$datasetId') + '/tables/' + commons.Escaper.ecapeVariable('$tableId') + '/insertAll';
var _response = _requester.request(_url,
"POST",
body: _body,
queryParams: _queryParams,
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
return _response.then((data) => new TableDataInsertAllResponse.fromJson(data));
}
/**
* Retrieves table data from a specified set of rows. Requires the READER
* dataset role.
*
* Request parameters:
*
* [projectId] - Project ID of the table to read
*
* [datasetId] - Dataset ID of the table to read
*
* [tableId] - Table ID of the table to read
*
* [maxResults] - Maximum number of results to return
*
* [pageToken] - Page token, returned by a previous call, identifying the
* result set
*
* [selectedFields] - List of fields to return (comma-separated). If
* unspecified, all fields are returned
*
* [startIndex] - Zero-based index of the starting row to read
*
* Completes with a [TableDataList].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
*
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
async.Future<TableDataList> list(core.String projectId, core.String datasetId, core.String tableId, {core.int maxResults, core.String pageToken, core.String selectedFields, core.String startIndex}) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
var _uploadOptions = null;
var _downloadOptions = commons.DownloadOptions.Metadata;
var _body = null;
if (projectId == null) {
throw new core.ArgumentError("Parameter projectId is required.");
}
if (datasetId == null) {
throw new core.ArgumentError("Parameter datasetId is required.");
}
if (tableId == null) {
throw new core.ArgumentError("Parameter tableId is required.");
}
if (maxResults != null) {
_queryParams["maxResults"] = ["${maxResults}"];
}
if (pageToken != null) {
_queryParams["pageToken"] = [pageToken];
}
if (selectedFields != null) {
_queryParams["selectedFields"] = [selectedFields];
}
if (startIndex != null) {
_queryParams["startIndex"] = [startIndex];
}
_url = 'projects/' + commons.Escaper.ecapeVariable('$projectId') + '/datasets/' + commons.Escaper.ecapeVariable('$datasetId') + '/tables/' + commons.Escaper.ecapeVariable('$tableId') + '/data';
var _response = _requester.request(_url,
"GET",
body: _body,
queryParams: _queryParams,
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
return _response.then((data) => new TableDataList.fromJson(data));
}
}
class TablesResourceApi {
final commons.ApiRequester _requester;
TablesResourceApi(commons.ApiRequester client) :
_requester = client;
/**
* Deletes the table specified by tableId from the dataset. If the table
* contains data, all the data will be deleted.
*
* Request parameters:
*
* [projectId] - Project ID of the table to delete
*
* [datasetId] - Dataset ID of the table to delete
*
* [tableId] - Table ID of the table to delete
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
*
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
async.Future delete(core.String projectId, core.String datasetId, core.String tableId) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
var _uploadOptions = null;
var _downloadOptions = commons.DownloadOptions.Metadata;
var _body = null;
if (projectId == null) {
throw new core.ArgumentError("Parameter projectId is required.");
}
if (datasetId == null) {
throw new core.ArgumentError("Parameter datasetId is required.");
}
if (tableId == null) {
throw new core.ArgumentError("Parameter tableId is required.");
}
_downloadOptions = null;
_url = 'projects/' + commons.Escaper.ecapeVariable('$projectId') + '/datasets/' + commons.Escaper.ecapeVariable('$datasetId') + '/tables/' + commons.Escaper.ecapeVariable('$tableId');
var _response = _requester.request(_url,
"DELETE",
body: _body,
queryParams: _queryParams,
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
return _response.then((data) => null);
}
/**
* Gets the specified table resource by table ID. This method does not return
* the data in the table, it only returns the table resource, which describes
* the structure of this table.
*
* Request parameters:
*
* [projectId] - Project ID of the requested table
*
* [datasetId] - Dataset ID of the requested table
*
* [tableId] - Table ID of the requested table
*
* [selectedFields] - List of fields to return (comma-separated). If
* unspecified, all fields are returned
*
* Completes with a [Table].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
*
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
async.Future<Table> get(core.String projectId, core.String datasetId, core.String tableId, {core.String selectedFields}) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
var _uploadOptions = null;
var _downloadOptions = commons.DownloadOptions.Metadata;
var _body = null;
if (projectId == null) {
throw new core.ArgumentError("Parameter projectId is required.");
}
if (datasetId == null) {
throw new core.ArgumentError("Parameter datasetId is required.");
}
if (tableId == null) {
throw new core.ArgumentError("Parameter tableId is required.");
}
if (selectedFields != null) {
_queryParams["selectedFields"] = [selectedFields];
}
_url = 'projects/' + commons.Escaper.ecapeVariable('$projectId') + '/datasets/' + commons.Escaper.ecapeVariable('$datasetId') + '/tables/' + commons.Escaper.ecapeVariable('$tableId');
var _response = _requester.request(_url,
"GET",
body: _body,
queryParams: _queryParams,
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
return _response.then((data) => new Table.fromJson(data));
}
/**
* Creates a new, empty table in the dataset.
*
* [request] - The metadata request object.
*
* Request parameters:
*
* [projectId] - Project ID of the new table
*
* [datasetId] - Dataset ID of the new table
*
* Completes with a [Table].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
*
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
async.Future<Table> insert(Table request, core.String projectId, core.String datasetId) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
var _uploadOptions = null;
var _downloadOptions = commons.DownloadOptions.Metadata;
var _body = null;
if (request != null) {
_body = convert.JSON.encode((request).toJson());
}
if (projectId == null) {
throw new core.ArgumentError("Parameter projectId is required.");
}
if (datasetId == null) {
throw new core.ArgumentError("Parameter datasetId is required.");
}
_url = 'projects/' + commons.Escaper.ecapeVariable('$projectId') + '/datasets/' + commons.Escaper.ecapeVariable('$datasetId') + '/tables';
var _response = _requester.request(_url,
"POST",
body: _body,
queryParams: _queryParams,
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
return _response.then((data) => new Table.fromJson(data));
}
/**
* Lists all tables in the specified dataset. Requires the READER dataset
* role.
*
* Request parameters:
*
* [projectId] - Project ID of the tables to list
*
* [datasetId] - Dataset ID of the tables to list
*
* [maxResults] - Maximum number of results to return
*
* [pageToken] - Page token, returned by a previous call, to request the next
* page of results
*
* Completes with a [TableList].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
*
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
async.Future<TableList> list(core.String projectId, core.String datasetId, {core.int maxResults, core.String pageToken}) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
var _uploadOptions = null;
var _downloadOptions = commons.DownloadOptions.Metadata;
var _body = null;
if (projectId == null) {
throw new core.ArgumentError("Parameter projectId is required.");
}
if (datasetId == null) {
throw new core.ArgumentError("Parameter datasetId is required.");
}
if (maxResults != null) {
_queryParams["maxResults"] = ["${maxResults}"];
}
if (pageToken != null) {
_queryParams["pageToken"] = [pageToken];
}
_url = 'projects/' + commons.Escaper.ecapeVariable('$projectId') + '/datasets/' + commons.Escaper.ecapeVariable('$datasetId') + '/tables';
var _response = _requester.request(_url,
"GET",
body: _body,
queryParams: _queryParams,
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
return _response.then((data) => new TableList.fromJson(data));
}
/**
* Updates information in an existing table. The update method replaces the
* entire table resource, whereas the patch method only replaces fields that
* are provided in the submitted table resource. This method supports patch
* semantics.
*
* [request] - The metadata request object.
*
* Request parameters:
*
* [projectId] - Project ID of the table to update
*
* [datasetId] - Dataset ID of the table to update
*
* [tableId] - Table ID of the table to update
*
* Completes with a [Table].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
*
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
async.Future<Table> patch(Table request, core.String projectId, core.String datasetId, core.String tableId) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
var _uploadOptions = null;
var _downloadOptions = commons.DownloadOptions.Metadata;
var _body = null;
if (request != null) {
_body = convert.JSON.encode((request).toJson());
}
if (projectId == null) {
throw new core.ArgumentError("Parameter projectId is required.");
}
if (datasetId == null) {
throw new core.ArgumentError("Parameter datasetId is required.");
}
if (tableId == null) {
throw new core.ArgumentError("Parameter tableId is required.");
}
_url = 'projects/' + commons.Escaper.ecapeVariable('$projectId') + '/datasets/' + commons.Escaper.ecapeVariable('$datasetId') + '/tables/' + commons.Escaper.ecapeVariable('$tableId');
var _response = _requester.request(_url,
"PATCH",
body: _body,
queryParams: _queryParams,
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
return _response.then((data) => new Table.fromJson(data));
}
/**
* Updates information in an existing table. The update method replaces the
* entire table resource, whereas the patch method only replaces fields that
* are provided in the submitted table resource.
*
* [request] - The metadata request object.
*
* Request parameters:
*
* [projectId] - Project ID of the table to update
*
* [datasetId] - Dataset ID of the table to update
*
* [tableId] - Table ID of the table to update
*
* Completes with a [Table].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
*
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
async.Future<Table> update(Table request, core.String projectId, core.String datasetId, core.String tableId) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
var _uploadOptions = null;
var _downloadOptions = commons.DownloadOptions.Metadata;
var _body = null;
if (request != null) {
_body = convert.JSON.encode((request).toJson());
}
if (projectId == null) {
throw new core.ArgumentError("Parameter projectId is required.");
}
if (datasetId == null) {
throw new core.ArgumentError("Parameter datasetId is required.");
}
if (tableId == null) {
throw new core.ArgumentError("Parameter tableId is required.");
}
_url = 'projects/' + commons.Escaper.ecapeVariable('$projectId') + '/datasets/' + commons.Escaper.ecapeVariable('$datasetId') + '/tables/' + commons.Escaper.ecapeVariable('$tableId');
var _response = _requester.request(_url,
"PUT",
body: _body,
queryParams: _queryParams,
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
return _response.then((data) => new Table.fromJson(data));
}
}
class BigtableColumn {
/**
* [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.
*/
core.String encoding;
/**
* [Optional] If the qualifier is not a valid BigQuery field identifier i.e.
* does not match [a-zA-Z][a-zA-Z0-9_]*, a valid identifier must be provided
* as the column field name and is used as field name in queries.
*/
core.String fieldName;
/**
* [Optional] If this is set, only the latest version of value in this column
* are exposed. 'onlyReadLatest' can also be set at the column family level.
* However, the setting at this level takes precedence if 'onlyReadLatest' is
* set at both levels.
*/
core.bool onlyReadLatest;
/**
* [Required] Qualifier of the column. Columns in the parent column family
* that has this exact qualifier are exposed as . field. If the qualifier is
* valid UTF-8 string, it can be specified in the qualifier_string field.
* Otherwise, a base-64 encoded value must be set to qualifier_encoded. The
* column field name is the same as the column qualifier. However, if the
* qualifier is not a valid BigQuery field identifier i.e. does not match
* [a-zA-Z][a-zA-Z0-9_]*, a valid identifier must be provided as field_name.
*/
core.String qualifierEncoded;
core.List<core.int> get qualifierEncodedAsBytes {
return convert.BASE64.decode(qualifierEncoded);
}
void set qualifierEncodedAsBytes(core.List<core.int> _bytes) {
qualifierEncoded = convert.BASE64.encode(_bytes).replaceAll("/", "_").replaceAll("+", "-");
}
core.String qualifierString;
/**
* [Optional] The type to convert the value in cells of this column. The
* values are expected to be encoded using HBase Bytes.toBytes function when
* using the BINARY encoding value. Following BigQuery types are allowed
* (case-sensitive) - BYTES STRING INTEGER FLOAT BOOLEAN Default type is
* BYTES. 'type' can also be set at the column family level. However, the
* setting at this level takes precedence if 'type' is set at both levels.
*/
core.String type;
BigtableColumn();
BigtableColumn.fromJson(core.Map _json) {
if (_json.containsKey("encoding")) {
encoding = _json["encoding"];
}
if (_json.containsKey("fieldName")) {
fieldName = _json["fieldName"];
}
if (_json.containsKey("onlyReadLatest")) {
onlyReadLatest = _json["onlyReadLatest"];
}
if (_json.containsKey("qualifierEncoded")) {
qualifierEncoded = _json["qualifierEncoded"];
}
if (_json.containsKey("qualifierString")) {
qualifierString = _json["qualifierString"];
}
if (_json.containsKey("type")) {
type = _json["type"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (encoding != null) {
_json["encoding"] = encoding;
}
if (fieldName != null) {
_json["fieldName"] = fieldName;
}
if (onlyReadLatest != null) {
_json["onlyReadLatest"] = onlyReadLatest;
}
if (qualifierEncoded != null) {
_json["qualifierEncoded"] = qualifierEncoded;
}
if (qualifierString != null) {
_json["qualifierString"] = qualifierString;
}
if (type != null) {
_json["type"] = type;
}
return _json;
}
}
class BigtableColumnFamily {
/**
* [Optional] Lists of columns that should be exposed as individual fields as
* opposed to a list of (column name, value) pairs. All columns whose
* qualifier matches a qualifier in this list can be accessed as .. Other
* columns can be accessed as a list through .Column field.
*/
core.List<BigtableColumn> columns;
/**
* [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. This can be overridden for a specific
* column by listing that column in 'columns' and specifying an encoding for
* it.
*/
core.String encoding;
/** Identifier of the column family. */
core.String familyId;
/**
* [Optional] If this is set only the latest version of value are exposed for
* all columns in this column family. This can be overridden for a specific
* column by listing that column in 'columns' and specifying a different
* setting for that column.
*/
core.bool onlyReadLatest;
/**
* [Optional] The type to convert the value in cells of this column family.
* The values are expected to be encoded using HBase Bytes.toBytes function
* when using the BINARY encoding value. Following BigQuery types are allowed
* (case-sensitive) - BYTES STRING INTEGER FLOAT BOOLEAN Default type is
* BYTES. This can be overridden for a specific column by listing that column
* in 'columns' and specifying a type for it.
*/
core.String type;
BigtableColumnFamily();
BigtableColumnFamily.fromJson(core.Map _json) {
if (_json.containsKey("columns")) {
columns = _json["columns"].map((value) => new BigtableColumn.fromJson(value)).toList();
}
if (_json.containsKey("encoding")) {
encoding = _json["encoding"];
}
if (_json.containsKey("familyId")) {
familyId = _json["familyId"];
}
if (_json.containsKey("onlyReadLatest")) {
onlyReadLatest = _json["onlyReadLatest"];
}
if (_json.containsKey("type")) {
type = _json["type"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (columns != null) {
_json["columns"] = columns.map((value) => (value).toJson()).toList();
}
if (encoding != null) {
_json["encoding"] = encoding;
}
if (familyId != null) {
_json["familyId"] = familyId;
}
if (onlyReadLatest != null) {
_json["onlyReadLatest"] = onlyReadLatest;
}
if (type != null) {
_json["type"] = type;
}
return _json;
}
}
class BigtableOptions {
/**
* [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.
*/
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<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
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
* error is returned in the job result. The default value is false.
*/
core.bool allowJaggedRows;
/**
* [Optional] Indicates if BigQuery should allow quoted data sections that
* contain newline characters in a CSV file. The default value is false.
*/
core.bool allowQuotedNewlines;
/**
* [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.
*/
core.String encoding;
/**
* [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 (',').
*/
core.String fieldDelimiter;
/**
* [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.
*/
core.String quote;
/**
* [Optional] The number of rows at the top of a CSV file that BigQuery will
* skip when reading the data. The default value is 0. This property is useful
* if you have header rows in the file that should be skipped.
*/
core.String skipLeadingRows;
CsvOptions();
CsvOptions.fromJson(core.Map _json) {
if (_json.containsKey("allowJaggedRows")) {
allowJaggedRows = _json["allowJaggedRows"];
}
if (_json.containsKey("allowQuotedNewlines")) {
allowQuotedNewlines = _json["allowQuotedNewlines"];
}
if (_json.containsKey("encoding")) {
encoding = _json["encoding"];
}
if (_json.containsKey("fieldDelimiter")) {
fieldDelimiter = _json["fieldDelimiter"];
}
if (_json.containsKey("quote")) {
quote = _json["quote"];
}
if (_json.containsKey("skipLeadingRows")) {
skipLeadingRows = _json["skipLeadingRows"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (allowJaggedRows != null) {
_json["allowJaggedRows"] = allowJaggedRows;
}
if (allowQuotedNewlines != null) {
_json["allowQuotedNewlines"] = allowQuotedNewlines;
}
if (encoding != null) {
_json["encoding"] = encoding;
}
if (fieldDelimiter != null) {
_json["fieldDelimiter"] = fieldDelimiter;
}
if (quote != null) {
_json["quote"] = quote;
}
if (skipLeadingRows != null) {
_json["skipLeadingRows"] = skipLeadingRows;
}
return _json;
}
}
class DatasetAccess {
/**
* [Pick one] A domain to grant access to. Any users signed in with the domain
* specified will be granted the specified access. Example: "example.com".
*/
core.String domain;
/** [Pick one] An email address of a Google Group to grant access to. */
core.String groupByEmail;
/**
* [Required] Describes the rights granted to the user specified by the other
* member of the access object. The following string values are supported:
* READER, WRITER, OWNER.
*/
core.String role;
/**
* [Pick one] A special group to grant access to. Possible values include:
* projectOwners: Owners of the enclosing project. projectReaders: Readers of
* the enclosing project. projectWriters: Writers of the enclosing project.
* allAuthenticatedUsers: All authenticated BigQuery users.
*/
core.String specialGroup;
/**
* [Pick one] An email address of a user to grant access to. For example:
* fred@example.com.
*/
core.String userByEmail;
/**
* [Pick one] A view from a different dataset to grant access to. Queries
* executed against that view will have read access to tables in this dataset.
* The role field is not required when this field is set. If that view is
* updated by any user, access to the view needs to be granted again via an
* update operation.
*/
TableReference view;
DatasetAccess();
DatasetAccess.fromJson(core.Map _json) {
if (_json.containsKey("domain")) {
domain = _json["domain"];
}
if (_json.containsKey("groupByEmail")) {
groupByEmail = _json["groupByEmail"];
}
if (_json.containsKey("role")) {
role = _json["role"];
}
if (_json.containsKey("specialGroup")) {
specialGroup = _json["specialGroup"];
}
if (_json.containsKey("userByEmail")) {
userByEmail = _json["userByEmail"];
}
if (_json.containsKey("view")) {
view = new TableReference.fromJson(_json["view"]);
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (domain != null) {
_json["domain"] = domain;
}
if (groupByEmail != null) {
_json["groupByEmail"] = groupByEmail;
}
if (role != null) {
_json["role"] = role;
}
if (specialGroup != null) {
_json["specialGroup"] = specialGroup;
}
if (userByEmail != null) {
_json["userByEmail"] = userByEmail;
}
if (view != null) {
_json["view"] = (view).toJson();
}
return _json;
}
}
class Dataset {
/**
* [Optional] An array of objects that define dataset access for one or more
* entities. You can set this property when inserting or updating a dataset in
* order to control who is allowed to access the data. If unspecified at
* dataset creation time, BigQuery adds default dataset access for the
* following entities: access.specialGroup: projectReaders; access.role:
* READER; access.specialGroup: projectWriters; access.role: WRITER;
* access.specialGroup: projectOwners; access.role: OWNER; access.userByEmail:
* [dataset creator email]; access.role: OWNER;
*/
core.List<DatasetAccess> access;
/**
* [Output-only] The time when this dataset was created, in milliseconds since
* the epoch.
*/
core.String creationTime;
/** [Required] A reference that identifies the dataset. */
DatasetReference datasetReference;
/**
* [Optional] The default lifetime of all tables in the dataset, in
* milliseconds. The minimum value is 3600000 milliseconds (one hour). Once
* this property is set, all newly-created tables in the dataset will have an
* expirationTime property set to the creation time plus the value in this
* property, and changing the value will only affect new tables, not existing
* ones. When the expirationTime for a given table is reached, that table will
* be deleted automatically. If a table's expirationTime is modified or
* removed before the table expires, or if you provide an explicit
* expirationTime when creating a table, that value takes precedence over the
* default expiration time indicated by this property.
*/
core.String defaultTableExpirationMs;
/** [Optional] A user-friendly description of the dataset. */
core.String description;
/** [Output-only] A hash of the resource. */
core.String etag;
/** [Optional] A descriptive name for the dataset. */
core.String friendlyName;
/**
* [Output-only] The fully-qualified unique name of the dataset in the format
* projectId:datasetId. The dataset name without the project name is given in
* the datasetId field. When creating a new dataset, leave this field blank,
* and instead specify the datasetId field.
*/
core.String id;
/** [Output-only] The resource type. */
core.String kind;
/**
* The labels associated with this dataset. You can use these to organize and
* group your datasets. You can set this property when inserting or updating a
* dataset. See Labeling Datasets for more information.
*/
core.Map<core.String, core.String> labels;
/**
* [Output-only] The date when this dataset or any of its tables was last
* modified, in milliseconds since the epoch.
*/
core.String lastModifiedTime;
/**
* The geographic location where the dataset should reside. Possible values
* include EU and US. The default value is US.
*/
core.String location;
/**
* [Output-only] A URL that can be used to access the resource again. You can
* use this URL in Get or Update requests to the resource.
*/
core.String selfLink;
Dataset();
Dataset.fromJson(core.Map _json) {
if (_json.containsKey("access")) {
access = _json["access"].map((value) => new DatasetAccess.fromJson(value)).toList();
}
if (_json.containsKey("creationTime")) {
creationTime = _json["creationTime"];
}
if (_json.containsKey("datasetReference")) {
datasetReference = new DatasetReference.fromJson(_json["datasetReference"]);
}
if (_json.containsKey("defaultTableExpirationMs")) {
defaultTableExpirationMs = _json["defaultTableExpirationMs"];
}
if (_json.containsKey("description")) {
description = _json["description"];
}
if (_json.containsKey("etag")) {
etag = _json["etag"];
}
if (_json.containsKey("friendlyName")) {
friendlyName = _json["friendlyName"];
}
if (_json.containsKey("id")) {
id = _json["id"];
}
if (_json.containsKey("kind")) {
kind = _json["kind"];
}
if (_json.containsKey("labels")) {
labels = _json["labels"];
}
if (_json.containsKey("lastModifiedTime")) {
lastModifiedTime = _json["lastModifiedTime"];
}
if (_json.containsKey("location")) {
location = _json["location"];
}
if (_json.containsKey("selfLink")) {
selfLink = _json["selfLink"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (access != null) {
_json["access"] = access.map((value) => (value).toJson()).toList();
}
if (creationTime != null) {
_json["creationTime"] = creationTime;
}
if (datasetReference != null) {
_json["datasetReference"] = (datasetReference).toJson();
}
if (defaultTableExpirationMs != null) {
_json["defaultTableExpirationMs"] = defaultTableExpirationMs;
}
if (description != null) {
_json["description"] = description;
}
if (etag != null) {
_json["etag"] = etag;
}
if (friendlyName != null) {
_json["friendlyName"] = friendlyName;
}
if (id != null) {
_json["id"] = id;
}
if (kind != null) {
_json["kind"] = kind;
}
if (labels != null) {
_json["labels"] = labels;
}
if (lastModifiedTime != null) {
_json["lastModifiedTime"] = lastModifiedTime;
}
if (location != null) {
_json["location"] = location;
}
if (selfLink != null) {
_json["selfLink"] = selfLink;
}
return _json;
}
}
class DatasetListDatasets {
/**
* The dataset reference. Use this property to access specific parts of the
* dataset's ID, such as project ID or dataset ID.
*/
DatasetReference datasetReference;
/** A descriptive name for the dataset, if one exists. */
core.String friendlyName;
/** The fully-qualified, unique, opaque ID of the dataset. */
core.String id;
/**
* The resource type. This property always returns the value
* "bigquery#dataset".
*/
core.String kind;
/**
* The labels associated with this dataset. You can use these to organize and
* group your datasets.
*/
core.Map<core.String, core.String> labels;
DatasetListDatasets();
DatasetListDatasets.fromJson(core.Map _json) {
if (_json.containsKey("datasetReference")) {
datasetReference = new DatasetReference.fromJson(_json["datasetReference"]);
}
if (_json.containsKey("friendlyName")) {
friendlyName = _json["friendlyName"];
}
if (_json.containsKey("id")) {
id = _json["id"];
}
if (_json.containsKey("kind")) {
kind = _json["kind"];
}
if (_json.containsKey("labels")) {
labels = _json["labels"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (datasetReference != null) {
_json["datasetReference"] = (datasetReference).toJson();
}
if (friendlyName != null) {
_json["friendlyName"] = friendlyName;
}
if (id != null) {
_json["id"] = id;
}
if (kind != null) {
_json["kind"] = kind;
}
if (labels != null) {
_json["labels"] = labels;
}
return _json;
}
}
class DatasetList {
/**
* An array of the dataset resources in the project. Each resource contains
* basic information. For full information about a particular dataset
* resource, use the Datasets: get method. This property is omitted when there
* are no datasets in the project.
*/
core.List<DatasetListDatasets> datasets;
/**
* A hash value of the results page. You can use this property to determine if
* the page has changed since the last request.
*/
core.String etag;
/**
* The list type. This property always returns the value
* "bigquery#datasetList".
*/
core.String kind;
/**
* A token that can be used to request the next results page. This property is
* omitted on the final results page.
*/
core.String nextPageToken;
DatasetList();
DatasetList.fromJson(core.Map _json) {
if (_json.containsKey("datasets")) {
datasets = _json["datasets"].map((value) => new DatasetListDatasets.fromJson(value)).toList();
}
if (_json.containsKey("etag")) {
etag = _json["etag"];
}
if (_json.containsKey("kind")) {
kind = _json["kind"];
}
if (_json.containsKey("nextPageToken")) {
nextPageToken = _json["nextPageToken"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (datasets != null) {
_json["datasets"] = datasets.map((value) => (value).toJson()).toList();
}
if (etag != null) {
_json["etag"] = etag;
}
if (kind != null) {
_json["kind"] = kind;
}
if (nextPageToken != null) {
_json["nextPageToken"] = nextPageToken;
}
return _json;
}
}
class DatasetReference {
/**
* [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.
*/
core.String datasetId;
/** [Optional] The ID of the project containing this dataset. */
core.String projectId;
DatasetReference();
DatasetReference.fromJson(core.Map _json) {
if (_json.containsKey("datasetId")) {
datasetId = _json["datasetId"];
}
if (_json.containsKey("projectId")) {
projectId = _json["projectId"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (datasetId != null) {
_json["datasetId"] = datasetId;
}
if (projectId != null) {
_json["projectId"] = projectId;
}
return _json;
}
}
class ErrorProto {
/**
* Debugging information. This property is internal to Google and should not
* be used.
*/
core.String debugInfo;
/** Specifies where the error occurred, if present. */
core.String location;
/** A human-readable description of the error. */
core.String message;
/** A short error code that summarizes the error. */
core.String reason;
ErrorProto();
ErrorProto.fromJson(core.Map _json) {
if (_json.containsKey("debugInfo")) {
debugInfo = _json["debugInfo"];
}
if (_json.containsKey("location")) {
location = _json["location"];
}
if (_json.containsKey("message")) {
message = _json["message"];
}
if (_json.containsKey("reason")) {
reason = _json["reason"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (debugInfo != null) {
_json["debugInfo"] = debugInfo;
}
if (location != null) {
_json["location"] = location;
}
if (message != null) {
_json["message"] = message;
}
if (reason != null) {
_json["reason"] = reason;
}
return _json;
}
}
class ExplainQueryStage {
/** Relative amount of time the average shard spent on CPU-bound tasks. */
core.double computeRatioAvg;
/** Relative amount of time the slowest shard spent on CPU-bound tasks. */
core.double computeRatioMax;
/** Unique ID for stage within plan. */
core.String id;
/** Human-readable name for stage. */
core.String name;
/** Relative amount of time the average shard spent reading input. */
core.double readRatioAvg;
/** Relative amount of time the slowest shard spent reading input. */
core.double readRatioMax;
/** Number of records read into the stage. */
core.String recordsRead;
/** Number of records written by the stage. */
core.String recordsWritten;
/** Current status for the stage. */
core.String status;
/**
* List of operations within the stage in dependency order (approximately
* chronological).
*/
core.List<ExplainQueryStep> steps;
/**
* Relative amount of time the average shard spent waiting to be scheduled.
*/
core.double waitRatioAvg;
/**
* Relative amount of time the slowest shard spent waiting to be scheduled.
*/
core.double waitRatioMax;
/** Relative amount of time the average shard spent on writing output. */
core.double writeRatioAvg;
/** Relative amount of time the slowest shard spent on writing output. */
core.double writeRatioMax;
ExplainQueryStage();
ExplainQueryStage.fromJson(core.Map _json) {
if (_json.containsKey("computeRatioAvg")) {
computeRatioAvg = _json["computeRatioAvg"];
}
if (_json.containsKey("computeRatioMax")) {
computeRatioMax = _json["computeRatioMax"];
}
if (_json.containsKey("id")) {
id = _json["id"];
}
if (_json.containsKey("name")) {
name = _json["name"];
}
if (_json.containsKey("readRatioAvg")) {
readRatioAvg = _json["readRatioAvg"];
}
if (_json.containsKey("readRatioMax")) {
readRatioMax = _json["readRatioMax"];
}
if (_json.containsKey("recordsRead")) {
recordsRead = _json["recordsRead"];
}
if (_json.containsKey("recordsWritten")) {
recordsWritten = _json["recordsWritten"];
}
if (_json.containsKey("status")) {
status = _json["status"];
}
if (_json.containsKey("steps")) {
steps = _json["steps"].map((value) => new ExplainQueryStep.fromJson(value)).toList();
}
if (_json.containsKey("waitRatioAvg")) {
waitRatioAvg = _json["waitRatioAvg"];
}
if (_json.containsKey("waitRatioMax")) {
waitRatioMax = _json["waitRatioMax"];
}
if (_json.containsKey("writeRatioAvg")) {
writeRatioAvg = _json["writeRatioAvg"];
}
if (_json.containsKey("writeRatioMax")) {
writeRatioMax = _json["writeRatioMax"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (computeRatioAvg != null) {
_json["computeRatioAvg"] = computeRatioAvg;
}
if (computeRatioMax != null) {
_json["computeRatioMax"] = computeRatioMax;
}
if (id != null) {
_json["id"] = id;
}
if (name != null) {
_json["name"] = name;
}
if (readRatioAvg != null) {
_json["readRatioAvg"] = readRatioAvg;
}
if (readRatioMax != null) {
_json["readRatioMax"] = readRatioMax;
}
if (recordsRead != null) {
_json["recordsRead"] = recordsRead;
}
if (recordsWritten != null) {
_json["recordsWritten"] = recordsWritten;
}
if (status != null) {
_json["status"] = status;
}
if (steps != null) {
_json["steps"] = steps.map((value) => (value).toJson()).toList();
}
if (waitRatioAvg != null) {
_json["waitRatioAvg"] = waitRatioAvg;
}
if (waitRatioMax != null) {
_json["waitRatioMax"] = waitRatioMax;
}
if (writeRatioAvg != null) {
_json["writeRatioAvg"] = writeRatioAvg;
}
if (writeRatioMax != null) {
_json["writeRatioMax"] = writeRatioMax;
}
return _json;
}
}
class ExplainQueryStep {
/** Machine-readable operation type. */
core.String kind;
/** Human-readable stage descriptions. */
core.List<core.String> substeps;
ExplainQueryStep();
ExplainQueryStep.fromJson(core.Map _json) {
if (_json.containsKey("kind")) {
kind = _json["kind"];
}
if (_json.containsKey("substeps")) {
substeps = _json["substeps"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (kind != null) {
_json["kind"] = kind;
}
if (substeps != null) {
_json["substeps"] = substeps;
}
return _json;
}
}
class ExternalDataConfiguration {
/**
* Try to detect schema and format options automatically. Any option specified
* explicitly will be honored.
*/
core.bool autodetect;
/** [Optional] Additional options if sourceFormat is set to BIGTABLE. */
BigtableOptions bigtableOptions;
/**
* [Optional] The compression type of the data source. Possible values include
* GZIP and NONE. The default value is NONE. This setting is ignored for
* Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.
*/
core.String compression;
/** Additional properties to set if sourceFormat is set to CSV. */
CsvOptions csvOptions;
/** [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS. */
GoogleSheetsOptions googleSheetsOptions;
/**
* [Optional] Indicates if BigQuery should allow extra values that are not
* represented in the table schema. If true, the extra values are ignored. If
* false, records with extra columns are treated as bad records, and if there
* are too many bad records, an invalid error is returned in the job result.
* The default value is false. The sourceFormat property determines what
* BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values
* that don't match any column names Google Cloud Bigtable: This setting is
* ignored. Google Cloud Datastore backups: This setting is ignored. Avro:
* This setting is ignored.
*/
core.bool ignoreUnknownValues;
/**
* [Optional] The maximum number of bad records that BigQuery can ignore when
* reading data. If the number of bad records exceeds this value, an invalid
* error is returned in the job result. The default value is 0, which requires
* that all records are valid. This setting is ignored for Google Cloud
* Bigtable, Google Cloud Datastore backups and Avro formats.
*/
core.int maxBadRecords;
/**
* [Optional] The schema for the data. Schema is required for CSV and JSON
* formats. Schema is disallowed for Google Cloud Bigtable, Cloud Datastore
* backups, and Avro formats.
*/
TableSchema schema;
/**
* [Required] The data format. For CSV files, specify "CSV". For Google
* sheets, specify "GOOGLE_SHEETS". For newline-delimited JSON, specify
* "NEWLINE_DELIMITED_JSON". For Avro files, specify "AVRO". For Google Cloud
* Datastore backups, specify "DATASTORE_BACKUP". [Beta] For Google Cloud
* Bigtable, specify "BIGTABLE".
*/
core.String sourceFormat;
/**
* [Required] The fully-qualified URIs that point to your data in Google
* Cloud. For Google Cloud Storage URIs: Each URI can contain one '*' wildcard
* character and it must come after the 'bucket' name. Size limits related to
* load jobs apply to external data sources. For Google Cloud Bigtable URIs:
* Exactly one URI can be specified and it has be a fully specified and valid
* HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore
* backups, exactly one URI can be specified, and it must end with
* '.backup_info'. Also, the '*' wildcard character is not allowed.
*/
core.List<core.String> sourceUris;
ExternalDataConfiguration();
ExternalDataConfiguration.fromJson(core.Map _json) {
if (_json.containsKey("autodetect")) {
autodetect = _json["autodetect"];
}
if (_json.containsKey("bigtableOptions")) {
bigtableOptions = new BigtableOptions.fromJson(_json["bigtableOptions"]);
}
if (_json.containsKey("compression")) {
compression = _json["compression"];
}
if (_json.containsKey("csvOptions")) {
csvOptions = new CsvOptions.fromJson(_json["csvOptions"]);
}
if (_json.containsKey("googleSheetsOptions")) {
googleSheetsOptions = new GoogleSheetsOptions.fromJson(_json["googleSheetsOptions"]);
}
if (_json.containsKey("ignoreUnknownValues")) {
ignoreUnknownValues = _json["ignoreUnknownValues"];
}
if (_json.containsKey("maxBadRecords")) {
maxBadRecords = _json["maxBadRecords"];
}
if (_json.containsKey("schema")) {
schema = new TableSchema.fromJson(_json["schema"]);
}
if (_json.containsKey("sourceFormat")) {
sourceFormat = _json["sourceFormat"];
}
if (_json.containsKey("sourceUris")) {
sourceUris = _json["sourceUris"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (autodetect != null) {
_json["autodetect"] = autodetect;
}
if (bigtableOptions != null) {
_json["bigtableOptions"] = (bigtableOptions).toJson();
}
if (compression != null) {
_json["compression"] = compression;
}
if (csvOptions != null) {
_json["csvOptions"] = (csvOptions).toJson();
}
if (googleSheetsOptions != null) {
_json["googleSheetsOptions"] = (googleSheetsOptions).toJson();
}
if (ignoreUnknownValues != null) {
_json["ignoreUnknownValues"] = ignoreUnknownValues;
}
if (maxBadRecords != null) {
_json["maxBadRecords"] = maxBadRecords;
}
if (schema != null) {
_json["schema"] = (schema).toJson();
}
if (sourceFormat != null) {
_json["sourceFormat"] = sourceFormat;
}
if (sourceUris != null) {
_json["sourceUris"] = sourceUris;
}
return _json;
}
}
class GetQueryResultsResponse {
/** Whether the query result was fetched from the query cache. */
core.bool cacheHit;
/**
* [Output-only] The first errors or warnings encountered during the running
* of the job. The final message includes the number of errors that caused the
* process to stop. Errors here do not necessarily mean that the job has
* completed or was unsuccessful.
*/
core.List<ErrorProto> errors;
/** A hash of this response. */
core.String etag;
/**
* 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.
*/
core.bool jobComplete;
/**
* 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] 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;
/**
* The schema of the results. Present only when the query completes
* successfully.
*/
TableSchema schema;
/** The total number of bytes processed for this query. */
core.String totalBytesProcessed;
/**
* 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.
*/
core.String totalRows;
GetQueryResultsResponse();
GetQueryResultsResponse.fromJson(core.Map _json) {
if (_json.containsKey("cacheHit")) {
cacheHit = _json["cacheHit"];
}
if (_json.containsKey("errors")) {
errors = _json["errors"].map((value) => new ErrorProto.fromJson(value)).toList();
}
if (_json.containsKey("etag")) {
etag = _json["etag"];
}
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")) {
totalBytesProcessed = _json["totalBytesProcessed"];
}
if (_json.containsKey("totalRows")) {
totalRows = _json["totalRows"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (cacheHit != null) {
_json["cacheHit"] = cacheHit;
}
if (errors != null) {
_json["errors"] = errors.map((value) => (value).toJson()).toList();
}
if (etag != null) {
_json["etag"] = etag;
}
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) {
_json["totalBytesProcessed"] = totalBytesProcessed;
}
if (totalRows != null) {
_json["totalRows"] = totalRows;
}
return _json;
}
}
class GoogleSheetsOptions {
/**
* [Optional] The number of rows at the top of a sheet that BigQuery will skip
* when reading the data. The default value is 0. This property is useful if
* you have header rows that should be skipped. When autodetect is on,
* behavior is the following: * skipLeadingRows unspecified - Autodetect tries
* to detect headers in the first row. If they are not detected, the row is
* read as data. Otherwise data is read starting from the second row. *
* skipLeadingRows is 0 - Instructs autodetect that there are no headers and
* data should be read starting from the first row. * skipLeadingRows = N > 0
* - Autodetect skips N-1 rows and tries to detect headers in row N. If
* headers are not detected, row N is just skipped. Otherwise row N is used to
* extract column names for the detected schema.
*/
core.String skipLeadingRows;
GoogleSheetsOptions();
GoogleSheetsOptions.fromJson(core.Map _json) {
if (_json.containsKey("skipLeadingRows")) {
skipLeadingRows = _json["skipLeadingRows"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (skipLeadingRows != null) {
_json["skipLeadingRows"] = skipLeadingRows;
}
return _json;
}
}
class Job {
/** [Required] Describes the job configuration. */
JobConfiguration configuration;
/** [Output-only] A hash of this resource. */
core.String etag;
/** [Output-only] Opaque ID field of the job */
core.String id;
/** [Optional] Reference describing the unique-per-user name of the job. */
JobReference jobReference;
/** [Output-only] The type of the resource. */
core.String kind;
/** [Output-only] A URL that can be used to access this resource again. */
core.String selfLink;
/**
* [Output-only] Information about the job, including starting time and ending
* time of the job.
*/
JobStatistics statistics;
/**
* [Output-only] The status of this job. Examine this value when polling an
* asynchronous job to see if the job is complete.
*/
JobStatus status;
/** [Output-only] Email address of the user who ran the job. */
core.String userEmail;
Job();
Job.fromJson(core.Map _json) {
if (_json.containsKey("configuration")) {
configuration = new JobConfiguration.fromJson(_json["configuration"]);
}
if (_json.containsKey("etag")) {
etag = _json["etag"];
}
if (_json.containsKey("id")) {
id = _json["id"];
}
if (_json.containsKey("jobReference")) {
jobReference = new JobReference.fromJson(_json["jobReference"]);
}
if (_json.containsKey("kind")) {
kind = _json["kind"];
}
if (_json.containsKey("selfLink")) {
selfLink = _json["selfLink"];
}
if (_json.containsKey("statistics")) {
statistics = new JobStatistics.fromJson(_json["statistics"]);
}
if (_json.containsKey("status")) {
status = new JobStatus.fromJson(_json["status"]);
}
if (_json.containsKey("user_email")) {
userEmail = _json["user_email"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (configuration != null) {
_json["configuration"] = (configuration).toJson();
}
if (etag != null) {
_json["etag"] = etag;
}
if (id != null) {
_json["id"] = id;
}
if (jobReference != null) {
_json["jobReference"] = (jobReference).toJson();
}
if (kind != null) {
_json["kind"] = kind;
}
if (selfLink != null) {
_json["selfLink"] = selfLink;
}
if (statistics != null) {
_json["statistics"] = (statistics).toJson();
}
if (status != null) {
_json["status"] = (status).toJson();
}
if (userEmail != null) {
_json["user_email"] = userEmail;
}
return _json;
}
}
class JobCancelResponse {
/** The final state of the job. */
Job job;
/** The resource type of the response. */
core.String kind;
JobCancelResponse();
JobCancelResponse.fromJson(core.Map _json) {
if (_json.containsKey("job")) {
job = new Job.fromJson(_json["job"]);
}
if (_json.containsKey("kind")) {
kind = _json["kind"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (job != null) {
_json["job"] = (job).toJson();
}
if (kind != null) {
_json["kind"] = kind;
}
return _json;
}
}
class JobConfiguration {
/** [Pick one] Copies a table. */
JobConfigurationTableCopy copy;
/**
* [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. Behavior
* of non-query jobs is undefined.
*/
core.bool dryRun;
/** [Pick one] Configures an extract job. */
JobConfigurationExtract extract;
/**
* [Experimental] The labels associated with this job. You can use these to
* organize and group your jobs. Label keys and values can be no longer than
* 63 characters, can only contain lowercase letters, numeric characters,
* underscores and dashes. International characters are allowed. Label values
* are optional. Label keys must start with a letter and each label in the
* list must have a different key.
*/
core.Map<core.String, core.String> labels;
/** [Pick one] Configures a load job. */
JobConfigurationLoad load;
/** [Pick one] Configures a query job. */
JobConfigurationQuery query;
JobConfiguration();
JobConfiguration.fromJson(core.Map _json) {
if (_json.containsKey("copy")) {
copy = new JobConfigurationTableCopy.fromJson(_json["copy"]);
}
if (_json.containsKey("dryRun")) {
dryRun = _json["dryRun"];
}
if (_json.containsKey("extract")) {
extract = new JobConfigurationExtract.fromJson(_json["extract"]);
}
if (_json.containsKey("labels")) {
labels = _json["labels"];
}
if (_json.containsKey("load")) {
load = new JobConfigurationLoad.fromJson(_json["load"]);
}
if (_json.containsKey("query")) {
query = new JobConfigurationQuery.fromJson(_json["query"]);
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (copy != null) {
_json["copy"] = (copy).toJson();
}
if (dryRun != null) {
_json["dryRun"] = dryRun;
}
if (extract != null) {
_json["extract"] = (extract).toJson();
}
if (labels != null) {
_json["labels"] = labels;
}
if (load != null) {
_json["load"] = (load).toJson();
}
if (query != null) {
_json["query"] = (query).toJson();
}
return _json;
}
}
class JobConfigurationExtract {
/**
* [Optional] The compression type to use for exported files. Possible values
* include GZIP and NONE. The default value is NONE.
*/
core.String compression;
/**
* [Optional] The exported file format. Possible values include CSV,
* NEWLINE_DELIMITED_JSON and AVRO. The default value is CSV. Tables with
* nested or repeated fields cannot be exported as CSV.
*/
core.String destinationFormat;
/**
* [Pick one] DEPRECATED: Use destinationUris instead, passing only one URI as
* necessary. The fully-qualified Google Cloud Storage URI where the extracted
* table should be written.
*/
core.String destinationUri;
/**
* [Pick one] A list of fully-qualified Google Cloud Storage URIs where the
* extracted table should be written.
*/
core.List<core.String> destinationUris;
/**
* [Optional] Delimiter to use between fields in the exported data. Default is
* ','
*/
core.String fieldDelimiter;
/**
* [Optional] Whether to print out a header row in the results. Default is
* true.
*/
core.bool printHeader;
/** [Required] A reference to the table being exported. */
TableReference sourceTable;
JobConfigurationExtract();
JobConfigurationExtract.fromJson(core.Map _json) {
if (_json.containsKey("compression")) {
compression = _json["compression"];
}
if (_json.containsKey("destinationFormat")) {
destinationFormat = _json["destinationFormat"];
}
if (_json.containsKey("destinationUri")) {
destinationUri = _json["destinationUri"];
}
if (_json.containsKey("destinationUris")) {
destinationUris = _json["destinationUris"];
}
if (_json.containsKey("fieldDelimiter")) {
fieldDelimiter = _json["fieldDelimiter"];
}
if (_json.containsKey("printHeader")) {
printHeader = _json["printHeader"];
}
if (_json.containsKey("sourceTable")) {
sourceTable = new TableReference.fromJson(_json["sourceTable"]);
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (compression != null) {
_json["compression"] = compression;
}
if (destinationFormat != null) {
_json["destinationFormat"] = destinationFormat;
}
if (destinationUri != null) {
_json["destinationUri"] = destinationUri;
}
if (destinationUris != null) {
_json["destinationUris"] = destinationUris;
}
if (fieldDelimiter != null) {
_json["fieldDelimiter"] = fieldDelimiter;
}
if (printHeader != null) {
_json["printHeader"] = printHeader;
}
if (sourceTable != null) {
_json["sourceTable"] = (sourceTable).toJson();
}
return _json;
}
}
class JobConfigurationLoad {
/**
* [Optional] Accept rows that are missing trailing optional columns. The
* missing values are treated as nulls. 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. Only applicable to CSV, ignored for other formats.
*/
core.bool allowJaggedRows;
/**
* Indicates if BigQuery should allow quoted data sections that contain
* newline characters in a CSV file. The default value is false.
*/
core.bool allowQuotedNewlines;
/**
* Indicates if we should automatically infer the options and schema for CSV
* and JSON sources.
*/
core.bool autodetect;
/**
* [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.
*/
core.String createDisposition;
/** [Required] The destination table to load the data into. */
TableReference destinationTable;
/**
* [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.
*/
core.String encoding;
/**
* [Optional] The separator for fields in a CSV file. The separator can be any
* ISO-8859-1 single-byte character. To use a character in the range 128-255,
* you must encode the character as UTF8. 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
* (',').
*/
core.String fieldDelimiter;
/**
* [Optional] Indicates if BigQuery should allow extra values that are not
* represented in the table schema. If true, the extra values are ignored. If
* false, records with extra columns are treated as bad records, and if there
* are too many bad records, an invalid error is returned in the job result.
* The default value is false. The sourceFormat property determines what
* BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values
* that don't match any column names
*/
core.bool ignoreUnknownValues;
/**
* [Optional] The maximum number of bad records that BigQuery can ignore when
* running the job. If the number of bad records exceeds this value, an
* invalid error is returned in the job result. The default value is 0, which
* requires that all records are valid.
*/
core.int maxBadRecords;
/**
* [Optional] Specifies a string that represents a null value in a CSV file.
* For example, if you specify "\N", BigQuery interprets "\N" as a null value
* when loading a CSV file. The default value is the empty string. If you set
* this property to a custom value, BigQuery throws an error if an empty
* string is present for all data types except for STRING and BYTE. For STRING
* and BYTE columns, BigQuery interprets the empty string as an empty value.
*/
core.String nullMarker;
/**
* If sourceFormat is set to "DATASTORE_BACKUP", indicates which entity
* properties to load into BigQuery from a Cloud Datastore backup. Property
* names are case sensitive and must be top-level properties. If no properties
* are specified, BigQuery loads all properties. If any named property isn't
* found in the Cloud Datastore backup, an invalid error is returned in the
* job result.
*/
core.List<core.String> projectionFields;
/**
* [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.
*/
core.String quote;
/**
* [Optional] The schema for the destination table. The schema can be omitted
* if the destination table already exists, or if you're loading data from
* Google Cloud Datastore.
*/
TableSchema schema;
/**
* [Deprecated] The inline schema. For CSV schemas, specify as
* "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER,
* baz:FLOAT".
*/
core.String schemaInline;
/** [Deprecated] The format of the schemaInline property. */
core.String schemaInlineFormat;
/**
* [Experimental] Allows the schema of the desitination table to be updated as
* a side effect of the load job. Schema update options are supported in two
* cases: when writeDisposition is WRITE_APPEND; when writeDisposition is
* WRITE_TRUNCATE and the destination table is a partition of a table,
* specified by partition decorators. For normal tables, WRITE_TRUNCATE will
* always overwrite the schema. One or more of the following values are
* specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the
* schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the
* original schema to nullable.
*/
core.List<core.String> schemaUpdateOptions;
/**
* [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.
*/
core.int skipLeadingRows;
/**
* [Optional] The format of the data files. For CSV files, specify "CSV". For
* datastore backups, specify "DATASTORE_BACKUP". For newline-delimited JSON,
* specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". The default
* value is CSV.
*/
core.String sourceFormat;
/**
* [Required] The fully-qualified URIs that point to your data in Google Cloud
* Storage. Each URI can contain one '*' wildcard character and it must come
* after the 'bucket' name.
*/
core.List<core.String> sourceUris;
/**
* [Optional] Specifies the action that occurs if the destination table
* already exists. The following values are supported: WRITE_TRUNCATE: If the
* table already exists, BigQuery overwrites the table data. WRITE_APPEND: If
* the table already exists, BigQuery appends the data to the table.
* WRITE_EMPTY: If the table already exists and contains data, a 'duplicate'
* error is returned in the job result. The default value is WRITE_APPEND.
* Each action is atomic and only occurs if BigQuery is able to complete the
* job successfully. Creation, truncation and append actions occur as one
* atomic update upon job completion.
*/
core.String writeDisposition;
JobConfigurationLoad();
JobConfigurationLoad.fromJson(core.Map _json) {
if (_json.containsKey("allowJaggedRows")) {
allowJaggedRows = _json["allowJaggedRows"];
}
if (_json.containsKey("allowQuotedNewlines")) {
allowQuotedNewlines = _json["allowQuotedNewlines"];
}
if (_json.containsKey("autodetect")) {
autodetect = _json["autodetect"];
}
if (_json.containsKey("createDisposition")) {
createDisposition = _json["createDisposition"];
}
if (_json.containsKey("destinationTable")) {
destinationTable = new TableReference.fromJson(_json["destinationTable"]);
}
if (_json.containsKey("encoding")) {
encoding = _json["encoding"];
}
if (_json.containsKey("fieldDelimiter")) {
fieldDelimiter = _json["fieldDelimiter"];
}
if (_json.containsKey("ignoreUnknownValues")) {
ignoreUnknownValues = _json["ignoreUnknownValues"];
}
if (_json.containsKey("maxBadRecords")) {
maxBadRecords = _json["maxBadRecords"];
}
if (_json.containsKey("nullMarker")) {
nullMarker = _json["nullMarker"];
}
if (_json.containsKey("projectionFields")) {
projectionFields = _json["projectionFields"];
}
if (_json.containsKey("quote")) {
quote = _json["quote"];
}
if (_json.containsKey("schema")) {
schema = new TableSchema.fromJson(_json["schema"]);
}
if (_json.containsKey("schemaInline")) {
schemaInline = _json["schemaInline"];
}
if (_json.containsKey("schemaInlineFormat")) {
schemaInlineFormat = _json["schemaInlineFormat"];
}
if (_json.containsKey("schemaUpdateOptions")) {
schemaUpdateOptions = _json["schemaUpdateOptions"];
}
if (_json.containsKey("skipLeadingRows")) {
skipLeadingRows = _json["skipLeadingRows"];
}
if (_json.containsKey("sourceFormat")) {
sourceFormat = _json["sourceFormat"];
}
if (_json.containsKey("sourceUris")) {
sourceUris = _json["sourceUris"];
}
if (_json.containsKey("writeDisposition")) {
writeDisposition = _json["writeDisposition"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (allowJaggedRows != null) {
_json["allowJaggedRows"] = allowJaggedRows;
}
if (allowQuotedNewlines != null) {
_json["allowQuotedNewlines"] = allowQuotedNewlines;
}
if (autodetect != null) {
_json["autodetect"] = autodetect;
}
if (createDisposition != null) {
_json["createDisposition"] = createDisposition;
}
if (destinationTable != null) {
_json["destinationTable"] = (destinationTable).toJson();
}
if (encoding != null) {
_json["encoding"] = encoding;
}
if (fieldDelimiter != null) {
_json["fieldDelimiter"] = fieldDelimiter;
}
if (ignoreUnknownValues != null) {
_json["ignoreUnknownValues"] = ignoreUnknownValues;
}
if (maxBadRecords != null) {
_json["maxBadRecords"] = maxBadRecords;
}
if (nullMarker != null) {
_json["nullMarker"] = nullMarker;
}
if (projectionFields != null) {
_json["projectionFields"] = projectionFields;
}
if (quote != null) {
_json["quote"] = quote;
}
if (schema != null) {
_json["schema"] = (schema).toJson();
}
if (schemaInline != null) {
_json["schemaInline"] = schemaInline;
}
if (schemaInlineFormat != null) {
_json["schemaInlineFormat"] = schemaInlineFormat;
}
if (schemaUpdateOptions != null) {
_json["schemaUpdateOptions"] = schemaUpdateOptions;
}
if (skipLeadingRows != null) {
_json["skipLeadingRows"] = skipLeadingRows;
}
if (sourceFormat != null) {
_json["sourceFormat"] = sourceFormat;
}
if (sourceUris != null) {
_json["sourceUris"] = sourceUris;
}
if (writeDisposition != null) {
_json["writeDisposition"] = writeDisposition;
}
return _json;
}
}
class JobConfigurationQuery {
/**
* [Optional] If true and query uses legacy SQL dialect, allows the query to
* produce arbitrarily large result tables at a slight cost in performance.
* Requires destinationTable to be set. For standard SQL queries, this flag is
* ignored and large results are always allowed. However, you must still set
* destinationTable when result size exceeds the allowed maximum response
* size.
*/
core.bool allowLargeResults;
/**
* [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.
*/
core.String createDisposition;
/**
* [Optional] Specifies the default dataset to use for unqualified table names
* in the query.
*/
DatasetReference defaultDataset;
/**
* [Optional] Describes the table where the query results should be stored. If
* not present, a new table will be created to store the results. This
* property must be set for large results that exceed the maximum response
* size.
*/
TableReference destinationTable;
/**
* [Optional] If true and query uses legacy SQL dialect, flattens all nested
* and repeated fields in the query results. allowLargeResults must be true if
* this is set to false. For standard SQL queries, this flag is ignored and
* results are never flattened.
*/
core.bool flattenResults;
/**
* [Optional] Limits the billing tier for this job. Queries that have resource
* usage beyond this tier will fail (without incurring a charge). If
* unspecified, this will be set to your project default.
*/
core.int maximumBillingTier;
/**
* [Optional] Limits the bytes billed for this job. Queries that will have
* bytes billed beyond this limit will fail (without incurring a charge). If
* unspecified, this will be set to your project default.
*/
core.String maximumBytesBilled;
/**
* Standard SQL only. Set to POSITIONAL to use positional (?) query parameters
* or to NAMED to use named (@myparam) query parameters in this query.
*/
core.String parameterMode;
/** [Deprecated] This property is deprecated. */
core.bool preserveNulls;
/**
* [Optional] Specifies a priority for the query. Possible values include
* INTERACTIVE and BATCH. The default value is INTERACTIVE.
*/
core.String priority;
/**
* [Required] SQL query text to execute. The useLegacySql field can be used to
* indicate whether the query uses legacy SQL or standard SQL.
*/
core.String query;
/** Query parameters for standard SQL queries. */
core.List<QueryParameter> queryParameters;
/**
* [Experimental] Allows the schema of the destination table to be updated as
* a side effect of the query job. Schema update options are supported in two
* cases: when writeDisposition is WRITE_APPEND; when writeDisposition is
* WRITE_TRUNCATE and the destination table is a partition of a table,
* specified by partition decorators. For normal tables, WRITE_TRUNCATE will
* always overwrite the schema. One or more of the following values are
* specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the
* schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the
* original schema to nullable.
*/
core.List<core.String> schemaUpdateOptions;
/**
* [Optional] If querying an external data source outside of BigQuery,
* describes the data format, location and other properties of the data
* source. By defining these properties, the data source can then be queried
* as if it were a standard BigQuery table.
*/
core.Map<core.String, ExternalDataConfiguration> tableDefinitions;
/**
* Specifies whether to use BigQuery's legacy SQL dialect for this query. The
* default value is true. If set to false, the query will use BigQuery's
* standard SQL: https://cloud.google.com/bigquery/sql-reference/ When
* useLegacySql is set to false, the values of allowLargeResults and
* flattenResults are ignored; query will be run as if allowLargeResults is
* true and flattenResults is false.
*/
core.bool useLegacySql;
/**
* [Optional] Whether to look for the result in the query cache. The query
* cache is a best-effort cache that will be flushed whenever tables in the
* query are modified. Moreover, the query cache is only available when a
* query does not have a destination table specified. The default value is
* true.
*/
core.bool useQueryCache;
/** Describes user-defined function resources used in the query. */
core.List<UserDefinedFunctionResource> userDefinedFunctionResources;
/**
* [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.
*/
core.String writeDisposition;
JobConfigurationQuery();
JobConfigurationQuery.fromJson(core.Map _json) {
if (_json.containsKey("allowLargeResults")) {
allowLargeResults = _json["allowLargeResults"];
}
if (_json.containsKey("createDisposition")) {
createDisposition = _json["createDisposition"];
}
if (_json.containsKey("defaultDataset")) {
defaultDataset = new DatasetReference.fromJson(_json["defaultDataset"]);
}
if (_json.containsKey("destinationTable")) {
destinationTable = new TableReference.fromJson(_json["destinationTable"]);
}
if (_json.containsKey("flattenResults")) {
flattenResults = _json["flattenResults"];
}
if (_json.containsKey("maximumBillingTier")) {
maximumBillingTier = _json["maximumBillingTier"];
}
if (_json.containsKey("maximumBytesBilled")) {
maximumBytesBilled = _json["maximumBytesBilled"];
}
if (_json.containsKey("parameterMode")) {
parameterMode = _json["parameterMode"];
}
if (_json.containsKey("preserveNulls")) {
preserveNulls = _json["preserveNulls"];
}
if (_json.containsKey("priority")) {
priority = _json["priority"];
}
if (_json.containsKey("query")) {
query = _json["query"];
}
if (_json.containsKey("queryParameters")) {
queryParameters = _json["queryParameters"].map((value) => new QueryParameter.fromJson(value)).toList();
}
if (_json.containsKey("schemaUpdateOptions")) {
schemaUpdateOptions = _json["schemaUpdateOptions"];
}
if (_json.containsKey("tableDefinitions")) {
tableDefinitions = commons.mapMap<core.Map<core.String, core.Object>, ExternalDataConfiguration>(_json["tableDefinitions"], (core.Map<core.String, core.Object> item) => new ExternalDataConfiguration.fromJson(item));
}
if (_json.containsKey("useLegacySql")) {
useLegacySql = _json["useLegacySql"];
}
if (_json.containsKey("useQueryCache")) {
useQueryCache = _json["useQueryCache"];
}
if (_json.containsKey("userDefinedFunctionResources")) {
userDefinedFunctionResources = _json["userDefinedFunctionResources"].map((value) => new UserDefinedFunctionResource.fromJson(value)).toList();
}
if (_json.containsKey("writeDisposition")) {
writeDisposition = _json["writeDisposition"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (allowLargeResults != null) {
_json["allowLargeResults"] = allowLargeResults;
}
if (createDisposition != null) {
_json["createDisposition"] = createDisposition;
}
if (defaultDataset != null) {
_json["defaultDataset"] = (defaultDataset).toJson();
}
if (destinationTable != null) {
_json["destinationTable"] = (destinationTable).toJson();
}
if (flattenResults != null) {
_json["flattenResults"] = flattenResults;
}
if (maximumBillingTier != null) {
_json["maximumBillingTier"] = maximumBillingTier;
}
if (maximumBytesBilled != null) {
_json["maximumBytesBilled"] = maximumBytesBilled;
}
if (parameterMode != null) {
_json["parameterMode"] = parameterMode;
}
if (preserveNulls != null) {
_json["preserveNulls"] = preserveNulls;
}
if (priority != null) {
_json["priority"] = priority;
}
if (query != null) {
_json["query"] = query;
}
if (queryParameters != null) {
_json["queryParameters"] = queryParameters.map((value) => (value).toJson()).toList();
}
if (schemaUpdateOptions != null) {
_json["schemaUpdateOptions"] = schemaUpdateOptions;
}
if (tableDefinitions != null) {
_json["tableDefinitions"] = commons.mapMap<ExternalDataConfiguration, core.Map<core.String, core.Object>>(tableDefinitions, (ExternalDataConfiguration item) => (item).toJson());
}
if (useLegacySql != null) {
_json["useLegacySql"] = useLegacySql;
}
if (useQueryCache != null) {
_json["useQueryCache"] = useQueryCache;
}
if (userDefinedFunctionResources != null) {
_json["userDefinedFunctionResources"] = userDefinedFunctionResources.map((value) => (value).toJson()).toList();
}
if (writeDisposition != null) {
_json["writeDisposition"] = writeDisposition;
}
return _json;
}
}
class JobConfigurationTableCopy {
/**
* [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.
*/
core.String createDisposition;
/** [Required] The destination table */
TableReference destinationTable;
/** [Pick one] Source table to copy. */
TableReference sourceTable;
/** [Pick one] Source tables to copy. */
core.List<TableReference> sourceTables;
/**
* [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.
*/
core.String writeDisposition;
JobConfigurationTableCopy();
JobConfigurationTableCopy.fromJson(core.Map _json) {
if (_json.containsKey("createDisposition")) {
createDisposition = _json["createDisposition"];
}
if (_json.containsKey("destinationTable")) {
destinationTable = new TableReference.fromJson(_json["destinationTable"]);
}
if (_json.containsKey("sourceTable")) {
sourceTable = new TableReference.fromJson(_json["sourceTable"]);
}
if (_json.containsKey("sourceTables")) {
sourceTables = _json["sourceTables"].map((value) => new TableReference.fromJson(value)).toList();
}
if (_json.containsKey("writeDisposition")) {
writeDisposition = _json["writeDisposition"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (createDisposition != null) {
_json["createDisposition"] = createDisposition;
}
if (destinationTable != null) {
_json["destinationTable"] = (destinationTable).toJson();
}
if (sourceTable != null) {
_json["sourceTable"] = (sourceTable).toJson();
}
if (sourceTables != null) {
_json["sourceTables"] = sourceTables.map((value) => (value).toJson()).toList();
}
if (writeDisposition != null) {
_json["writeDisposition"] = writeDisposition;
}
return _json;
}
}
class JobListJobs {
/** [Full-projection-only] Specifies the job configuration. */
JobConfiguration configuration;
/** A result object that will be present only if the job has failed. */
ErrorProto errorResult;
/** Unique opaque ID of the job. */
core.String id;
/** Job reference uniquely identifying the job. */
JobReference jobReference;
/** The resource type. */
core.String kind;
/**
* Running state of the job. When the state is DONE, errorResult can be
* checked to determine whether the job succeeded or failed.
*/
core.String state;
/**
* [Output-only] Information about the job, including starting time and ending
* time of the job.
*/
JobStatistics statistics;
/** [Full-projection-only] Describes the state of the job. */
JobStatus status;
/** [Full-projection-only] Email address of the user who ran the job. */
core.String userEmail;
JobListJobs();
JobListJobs.fromJson(core.Map _json) {
if (_json.containsKey("configuration")) {
configuration = new JobConfiguration.fromJson(_json["configuration"]);
}
if (_json.containsKey("errorResult")) {
errorResult = new ErrorProto.fromJson(_json["errorResult"]);
}
if (_json.containsKey("id")) {
id = _json["id"];
}
if (_json.containsKey("jobReference")) {
jobReference = new JobReference.fromJson(_json["jobReference"]);
}
if (_json.containsKey("kind")) {
kind = _json["kind"];
}
if (_json.containsKey("state")) {
state = _json["state"];
}
if (_json.containsKey("statistics")) {
statistics = new JobStatistics.fromJson(_json["statistics"]);
}
if (_json.containsKey("status")) {
status = new JobStatus.fromJson(_json["status"]);
}
if (_json.containsKey("user_email")) {
userEmail = _json["user_email"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (configuration != null) {
_json["configuration"] = (configuration).toJson();
}
if (errorResult != null) {
_json["errorResult"] = (errorResult).toJson();
}
if (id != null) {
_json["id"] = id;
}
if (jobReference != null) {
_json["jobReference"] = (jobReference).toJson();
}
if (kind != null) {
_json["kind"] = kind;
}
if (state != null) {
_json["state"] = state;
}
if (statistics != null) {
_json["statistics"] = (statistics).toJson();
}
if (status != null) {
_json["status"] = (status).toJson();
}
if (userEmail != null) {
_json["user_email"] = userEmail;
}
return _json;
}
}
class JobList {
/** A hash of this page of results. */
core.String etag;
/** List of jobs that were requested. */
core.List<JobListJobs> jobs;
/** The resource type of the response. */
core.String kind;
/** A token to request the next page of results. */
core.String nextPageToken;
JobList();
JobList.fromJson(core.Map _json) {
if (_json.containsKey("etag")) {
etag = _json["etag"];
}
if (_json.containsKey("jobs")) {
jobs = _json["jobs"].map((value) => new JobListJobs.fromJson(value)).toList();
}
if (_json.containsKey("kind")) {
kind = _json["kind"];
}
if (_json.containsKey("nextPageToken")) {
nextPageToken = _json["nextPageToken"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (etag != null) {
_json["etag"] = etag;
}
if (jobs != null) {
_json["jobs"] = jobs.map((value) => (value).toJson()).toList();
}
if (kind != null) {
_json["kind"] = kind;
}
if (nextPageToken != null) {
_json["nextPageToken"] = nextPageToken;
}
return _json;
}
}
class JobReference {
/**
* [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.
*/
core.String jobId;
/** [Required] The ID of the project containing this job. */
core.String projectId;
JobReference();
JobReference.fromJson(core.Map _json) {
if (_json.containsKey("jobId")) {
jobId = _json["jobId"];
}
if (_json.containsKey("projectId")) {
projectId = _json["projectId"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (jobId != null) {
_json["jobId"] = jobId;
}
if (projectId != null) {
_json["projectId"] = projectId;
}
return _json;
}
}
class JobStatistics {
/**
* [Output-only] Creation time of this job, in milliseconds since the epoch.
* This field will be present on all jobs.
*/
core.String creationTime;
/**
* [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.
*/
core.String endTime;
/** [Output-only] Statistics for an extract job. */
JobStatistics4 extract;
/** [Output-only] Statistics for a load job. */
JobStatistics3 load;
/** [Output-only] Statistics for a query job. */
JobStatistics2 query;
/**
* [Output-only] Start time of this job, in milliseconds since the epoch. This
* field will be present when the job transitions from the PENDING state to
* either RUNNING or DONE.
*/
core.String startTime;
/**
* [Output-only] [Deprecated] Use the bytes processed in the query statistics
* instead.
*/
core.String totalBytesProcessed;
JobStatistics();
JobStatistics.fromJson(core.Map _json) {
if (_json.containsKey("creationTime")) {
creationTime = _json["creationTime"];
}
if (_json.containsKey("endTime")) {
endTime = _json["endTime"];
}
if (_json.containsKey("extract")) {
extract = new JobStatistics4.fromJson(_json["extract"]);
}
if (_json.containsKey("load")) {
load = new JobStatistics3.fromJson(_json["load"]);
}
if (_json.containsKey("query")) {
query = new JobStatistics2.fromJson(_json["query"]);
}
if (_json.containsKey("startTime")) {
startTime = _json["startTime"];
}
if (_json.containsKey("totalBytesProcessed")) {
totalBytesProcessed = _json["totalBytesProcessed"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (creationTime != null) {
_json["creationTime"] = creationTime;
}
if (endTime != null) {
_json["endTime"] = endTime;
}
if (extract != null) {
_json["extract"] = (extract).toJson();
}
if (load != null) {
_json["load"] = (load).toJson();
}
if (query != null) {
_json["query"] = (query).toJson();
}
if (startTime != null) {
_json["startTime"] = startTime;
}
if (totalBytesProcessed != null) {
_json["totalBytesProcessed"] = totalBytesProcessed;
}
return _json;
}
}
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] The number of rows affected by a DML statement. Present only
* for DML statements INSERT, UPDATE or DELETE.
*/
core.String numDmlAffectedRows;
/** [Output-only] 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, Experimental] The type of query statement, if valid. */
core.String statementType;
/** [Output-only] Total bytes billed for the job. */
core.String totalBytesBilled;
/** [Output-only] Total bytes processed for the job. */
core.String totalBytesProcessed;
/**
* [Output-only, Experimental] Standard SQL only: list of undeclared query
* parameters detected during a dry run validation.
*/
core.List<QueryParameter> undeclaredQueryParameters;
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("statementType")) {
statementType = _json["statementType"];
}
if (_json.containsKey("totalBytesBilled")) {
totalBytesBilled = _json["totalBytesBilled"];
}
if (_json.containsKey("totalBytesProcessed")) {
totalBytesProcessed = _json["totalBytesProcessed"];
}
if (_json.containsKey("undeclaredQueryParameters")) {
undeclaredQueryParameters = _json["undeclaredQueryParameters"].map((value) => new QueryParameter.fromJson(value)).toList();
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
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 (statementType != null) {
_json["statementType"] = statementType;
}
if (totalBytesBilled != null) {
_json["totalBytesBilled"] = totalBytesBilled;
}
if (totalBytesProcessed != null) {
_json["totalBytesProcessed"] = totalBytesProcessed;
}
if (undeclaredQueryParameters != null) {
_json["undeclaredQueryParameters"] = undeclaredQueryParameters.map((value) => (value).toJson()).toList();
}
return _json;
}
}
class JobStatistics3 {
/** [Output-only] Number of bytes of source data in a load job. */
core.String inputFileBytes;
/** [Output-only] Number of source files in a load job. */
core.String inputFiles;
/**
* [Output-only] Size of the loaded data in bytes. Note that while a load job
* is in the running state, this value may change.
*/
core.String outputBytes;
/**
* [Output-only] Number of rows imported in a load job. Note that while an
* import job is in the running state, this value may change.
*/
core.String outputRows;
JobStatistics3();
JobStatistics3.fromJson(core.Map _json) {
if (_json.containsKey("inputFileBytes")) {
inputFileBytes = _json["inputFileBytes"];
}
if (_json.containsKey("inputFiles")) {
inputFiles = _json["inputFiles"];
}
if (_json.containsKey("outputBytes")) {
outputBytes = _json["outputBytes"];
}
if (_json.containsKey("outputRows")) {
outputRows = _json["outputRows"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (inputFileBytes != null) {
_json["inputFileBytes"] = inputFileBytes;
}
if (inputFiles != null) {
_json["inputFiles"] = inputFiles;
}
if (outputBytes != null) {
_json["outputBytes"] = outputBytes;
}
if (outputRows != null) {
_json["outputRows"] = outputRows;
}
return _json;
}
}
class JobStatistics4 {
/**
* [Output-only] 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.
*/
core.List<core.String> destinationUriFileCounts;
JobStatistics4();
JobStatistics4.fromJson(core.Map _json) {
if (_json.containsKey("destinationUriFileCounts")) {
destinationUriFileCounts = _json["destinationUriFileCounts"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (destinationUriFileCounts != null) {
_json["destinationUriFileCounts"] = destinationUriFileCounts;
}
return _json;
}
}
class JobStatus {
/**
* [Output-only] Final error result of the job. If present, indicates that the
* job has completed and was unsuccessful.
*/
ErrorProto errorResult;
/**
* [Output-only] The first errors encountered during the running of the job.
* The final message includes the number of errors that caused the process to
* stop. Errors here do not necessarily mean that the job has completed or was
* unsuccessful.
*/
core.List<ErrorProto> errors;
/** [Output-only] Running state of the job. */
core.String state;
JobStatus();
JobStatus.fromJson(core.Map _json) {
if (_json.containsKey("errorResult")) {
errorResult = new ErrorProto.fromJson(_json["errorResult"]);
}
if (_json.containsKey("errors")) {
errors = _json["errors"].map((value) => new ErrorProto.fromJson(value)).toList();
}
if (_json.containsKey("state")) {
state = _json["state"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (errorResult != null) {
_json["errorResult"] = (errorResult).toJson();
}
if (errors != null) {
_json["errors"] = errors.map((value) => (value).toJson()).toList();
}
if (state != null) {
_json["state"] = state;
}
return _json;
}
}
/** Represents a single JSON object. */
class JsonObject
extends collection.MapBase<core.String, core.Object> {
final core.Map _innerMap = {};
JsonObject();
JsonObject.fromJson(core.Map _json) {
_json.forEach((core.String key, value) {
this[key] = value;
});
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = <core.String, core.Object>{};
this.forEach((core.String key, value) {
_json[key] = value;
});
return _json;
}
core.Object operator [](core.Object key)
=> _innerMap[key];
operator []=(core.String key, core.Object value) {
_innerMap[key] = value;
}
void clear() {
_innerMap.clear();
}
core.Iterable<core.String> get keys => _innerMap.keys;
core.Object remove(core.Object key) => _innerMap.remove(key);
}
class ProjectListProjects {
/** A descriptive name for this project. */
core.String friendlyName;
/** An opaque ID of this project. */
core.String id;
/** The resource type. */
core.String kind;
/** The numeric ID of this project. */
core.String numericId;
/** A unique reference to this project. */
ProjectReference projectReference;
ProjectListProjects();
ProjectListProjects.fromJson(core.Map _json) {
if (_json.containsKey("friendlyName")) {
friendlyName = _json["friendlyName"];
}
if (_json.containsKey("id")) {
id = _json["id"];
}
if (_json.containsKey("kind")) {
kind = _json["kind"];
}
if (_json.containsKey("numericId")) {
numericId = _json["numericId"];
}
if (_json.containsKey("projectReference")) {
projectReference = new ProjectReference.fromJson(_json["projectReference"]);
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (friendlyName != null) {
_json["friendlyName"] = friendlyName;
}
if (id != null) {
_json["id"] = id;
}
if (kind != null) {
_json["kind"] = kind;
}
if (numericId != null) {
_json["numericId"] = numericId;
}
if (projectReference != null) {
_json["projectReference"] = (projectReference).toJson();
}
return _json;
}
}
class ProjectList {
/** A hash of the page of results */
core.String etag;
/** The type of list. */
core.String kind;
/** A token to request the next page of results. */
core.String nextPageToken;
/** Projects to which you have at least READ access. */
core.List<ProjectListProjects> projects;
/** The total number of projects in the list. */
core.int totalItems;
ProjectList();
ProjectList.fromJson(core.Map _json) {
if (_json.containsKey("etag")) {
etag = _json["etag"];
}
if (_json.containsKey("kind")) {
kind = _json["kind"];
}
if (_json.containsKey("nextPageToken")) {
nextPageToken = _json["nextPageToken"];
}
if (_json.containsKey("projects")) {
projects = _json["projects"].map((value) => new ProjectListProjects.fromJson(value)).toList();
}
if (_json.containsKey("totalItems")) {
totalItems = _json["totalItems"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (etag != null) {
_json["etag"] = etag;
}
if (kind != null) {
_json["kind"] = kind;
}
if (nextPageToken != null) {
_json["nextPageToken"] = nextPageToken;
}
if (projects != null) {
_json["projects"] = projects.map((value) => (value).toJson()).toList();
}
if (totalItems != null) {
_json["totalItems"] = totalItems;
}
return _json;
}
}
class ProjectReference {
/**
* [Required] ID of the project. Can be either the numeric ID or the assigned
* ID of the project.
*/
core.String projectId;
ProjectReference();
ProjectReference.fromJson(core.Map _json) {
if (_json.containsKey("projectId")) {
projectId = _json["projectId"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (projectId != null) {
_json["projectId"] = projectId;
}
return _json;
}
}
class QueryParameter {
/**
* [Optional] If unset, this is a positional parameter. Otherwise, should be
* unique within a query.
*/
core.String name;
/** [Required] The type of this parameter. */
QueryParameterType parameterType;
/** [Required] The value of this parameter. */
QueryParameterValue parameterValue;
QueryParameter();
QueryParameter.fromJson(core.Map _json) {
if (_json.containsKey("name")) {
name = _json["name"];
}
if (_json.containsKey("parameterType")) {
parameterType = new QueryParameterType.fromJson(_json["parameterType"]);
}
if (_json.containsKey("parameterValue")) {
parameterValue = new QueryParameterValue.fromJson(_json["parameterValue"]);
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (name != null) {
_json["name"] = name;
}
if (parameterType != null) {
_json["parameterType"] = (parameterType).toJson();
}
if (parameterValue != null) {
_json["parameterValue"] = (parameterValue).toJson();
}
return _json;
}
}
class QueryParameterTypeStructTypes {
/** [Optional] Human-oriented description of the field. */
core.String description;
/** [Optional] The name of this field. */
core.String name;
/** [Required] The type of this field. */
QueryParameterType type;
QueryParameterTypeStructTypes();
QueryParameterTypeStructTypes.fromJson(core.Map _json) {
if (_json.containsKey("description")) {
description = _json["description"];
}
if (_json.containsKey("name")) {
name = _json["name"];
}
if (_json.containsKey("type")) {
type = new QueryParameterType.fromJson(_json["type"]);
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (description != null) {
_json["description"] = description;
}
if (name != null) {
_json["name"] = name;
}
if (type != null) {
_json["type"] = (type).toJson();
}
return _json;
}
}
class QueryParameterType {
/** [Optional] The type of the array's elements, if this is an array. */
QueryParameterType arrayType;
/**
* [Optional] The types of the fields of this struct, in order, if this is a
* struct.
*/
core.List<QueryParameterTypeStructTypes> structTypes;
/** [Required] The top level type of this field. */
core.String type;
QueryParameterType();
QueryParameterType.fromJson(core.Map _json) {
if (_json.containsKey("arrayType")) {
arrayType = new QueryParameterType.fromJson(_json["arrayType"]);
}
if (_json.containsKey("structTypes")) {
structTypes = _json["structTypes"].map((value) => new QueryParameterTypeStructTypes.fromJson(value)).toList();
}
if (_json.containsKey("type")) {
type = _json["type"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (arrayType != null) {
_json["arrayType"] = (arrayType).toJson();
}
if (structTypes != null) {
_json["structTypes"] = structTypes.map((value) => (value).toJson()).toList();
}
if (type != null) {
_json["type"] = type;
}
return _json;
}
}
class QueryParameterValue {
/** [Optional] The array values, if this is an array type. */
core.List<QueryParameterValue> arrayValues;
/**
* [Optional] The struct field values, in order of the struct type's
* declaration.
*/
core.Map<core.String, QueryParameterValue> structValues;
/** [Optional] The value of this value, if a simple scalar type. */
core.String value;
QueryParameterValue();
QueryParameterValue.fromJson(core.Map _json) {
if (_json.containsKey("arrayValues")) {
arrayValues = _json["arrayValues"].map((value) => new QueryParameterValue.fromJson(value)).toList();
}
if (_json.containsKey("structValues")) {
structValues = commons.mapMap<core.Map<core.String, core.Object>, QueryParameterValue>(_json["structValues"], (core.Map<core.String, core.Object> item) => new QueryParameterValue.fromJson(item));
}
if (_json.containsKey("value")) {
value = _json["value"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (arrayValues != null) {
_json["arrayValues"] = arrayValues.map((value) => (value).toJson()).toList();
}
if (structValues != null) {
_json["structValues"] = commons.mapMap<QueryParameterValue, core.Map<core.String, core.Object>>(structValues, (QueryParameterValue item) => (item).toJson());
}
if (value != null) {
_json["value"] = value;
}
return _json;
}
}
class QueryRequest {
/**
* [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'.
*/
DatasetReference defaultDataset;
/**
* [Optional] If set to true, BigQuery doesn't run the job. Instead, if the
* query is valid, BigQuery returns statistics about the job such as how many
* bytes would be processed. If the query is invalid, an error returns. The
* default value is false.
*/
core.bool dryRun;
/** The resource type of the request. */
core.String kind;
/**
* [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.
*/
core.int maxResults;
/**
* Standard SQL only. Set to POSITIONAL to use positional (?) query parameters
* or to NAMED to use named (@myparam) query parameters in this query.
*/
core.String parameterMode;
/** [Deprecated] This property is deprecated. */
core.bool preserveNulls;
/**
* [Required] A query string, following the BigQuery query syntax, of the
* query to execute. Example: "SELECT count(f1) FROM
* [myProjectId:myDatasetId.myTableId]".
*/
core.String query;
/** Query parameters for Standard SQL queries. */
core.List<QueryParameter> queryParameters;
/**
* [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).
*/
core.int timeoutMs;
/**
* Specifies whether to use BigQuery's legacy SQL dialect for this query. The
* default value is true. If set to false, the query will use BigQuery's
* standard SQL: https://cloud.google.com/bigquery/sql-reference/ When
* useLegacySql is set to false, the values of allowLargeResults and
* flattenResults are ignored; query will be run as if allowLargeResults is
* true and flattenResults is false.
*/
core.bool useLegacySql;
/**
* [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.
*/
core.bool useQueryCache;
QueryRequest();
QueryRequest.fromJson(core.Map _json) {
if (_json.containsKey("defaultDataset")) {
defaultDataset = new DatasetReference.fromJson(_json["defaultDataset"]);
}
if (_json.containsKey("dryRun")) {
dryRun = _json["dryRun"];
}
if (_json.containsKey("kind")) {
kind = _json["kind"];
}
if (_json.containsKey("maxResults")) {
maxResults = _json["maxResults"];
}
if (_json.containsKey("parameterMode")) {
parameterMode = _json["parameterMode"];
}
if (_json.containsKey("preserveNulls")) {
preserveNulls = _json["preserveNulls"];
}
if (_json.containsKey("query")) {
query = _json["query"];
}
if (_json.containsKey("queryParameters")) {
queryParameters = _json["queryParameters"].map((value) => new QueryParameter.fromJson(value)).toList();
}
if (_json.containsKey("timeoutMs")) {
timeoutMs = _json["timeoutMs"];
}
if (_json.containsKey("useLegacySql")) {
useLegacySql = _json["useLegacySql"];
}
if (_json.containsKey("useQueryCache")) {
useQueryCache = _json["useQueryCache"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (defaultDataset != null) {
_json["defaultDataset"] = (defaultDataset).toJson();
}
if (dryRun != null) {
_json["dryRun"] = dryRun;
}
if (kind != null) {
_json["kind"] = kind;
}
if (maxResults != null) {
_json["maxResults"] = maxResults;
}
if (parameterMode != null) {
_json["parameterMode"] = parameterMode;
}
if (preserveNulls != null) {
_json["preserveNulls"] = preserveNulls;
}
if (query != null) {
_json["query"] = query;
}
if (queryParameters != null) {
_json["queryParameters"] = queryParameters.map((value) => (value).toJson()).toList();
}
if (timeoutMs != null) {
_json["timeoutMs"] = timeoutMs;
}
if (useLegacySql != null) {
_json["useLegacySql"] = useLegacySql;
}
if (useQueryCache != null) {
_json["useQueryCache"] = useQueryCache;
}
return _json;
}
}
class QueryResponse {
/** Whether the query result was fetched from the query cache. */
core.bool cacheHit;
/**
* [Output-only] The first errors or warnings encountered during the running
* of the job. The final message includes the number of errors that caused the
* process to stop. Errors here do not necessarily mean that the job has
* completed or was unsuccessful.
*/
core.List<ErrorProto> errors;
/**
* 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.
*/
core.bool jobComplete;
/**
* 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] 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
* successfully.
*/
TableSchema schema;
/**
* The total number of bytes processed for this query. If this query was a dry
* run, this is the number of bytes that would be processed if the query were
* run.
*/
core.String totalBytesProcessed;
/**
* 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.
*/
core.String totalRows;
QueryResponse();
QueryResponse.fromJson(core.Map _json) {
if (_json.containsKey("cacheHit")) {
cacheHit = _json["cacheHit"];
}
if (_json.containsKey("errors")) {
errors = _json["errors"].map((value) => new ErrorProto.fromJson(value)).toList();
}
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")) {
totalBytesProcessed = _json["totalBytesProcessed"];
}
if (_json.containsKey("totalRows")) {
totalRows = _json["totalRows"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (cacheHit != null) {
_json["cacheHit"] = cacheHit;
}
if (errors != null) {
_json["errors"] = errors.map((value) => (value).toJson()).toList();
}
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) {
_json["totalBytesProcessed"] = totalBytesProcessed;
}
if (totalRows != null) {
_json["totalRows"] = totalRows;
}
return _json;
}
}
class Streamingbuffer {
/**
* [Output-only] A lower-bound estimate of the number of bytes currently in
* the streaming buffer.
*/
core.String estimatedBytes;
/**
* [Output-only] A lower-bound estimate of the number of rows currently in the
* streaming buffer.
*/
core.String estimatedRows;
/**
* [Output-only] Contains the timestamp of the oldest entry in the streaming
* buffer, in milliseconds since the epoch, if the streaming buffer is
* available.
*/
core.String oldestEntryTime;
Streamingbuffer();
Streamingbuffer.fromJson(core.Map _json) {
if (_json.containsKey("estimatedBytes")) {
estimatedBytes = _json["estimatedBytes"];
}
if (_json.containsKey("estimatedRows")) {
estimatedRows = _json["estimatedRows"];
}
if (_json.containsKey("oldestEntryTime")) {
oldestEntryTime = _json["oldestEntryTime"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (estimatedBytes != null) {
_json["estimatedBytes"] = estimatedBytes;
}
if (estimatedRows != null) {
_json["estimatedRows"] = estimatedRows;
}
if (oldestEntryTime != null) {
_json["oldestEntryTime"] = oldestEntryTime;
}
return _json;
}
}
class Table {
/**
* [Output-only] The time when this table was created, in milliseconds since
* the epoch.
*/
core.String creationTime;
/** [Optional] A user-friendly description of this table. */
core.String description;
/** [Output-only] A hash of this resource. */
core.String etag;
/**
* [Optional] The time when this table expires, in milliseconds since the
* epoch. If not present, the table will persist indefinitely. Expired tables
* will be deleted and their storage reclaimed.
*/
core.String expirationTime;
/**
* [Optional] Describes the data format, location, and other properties of a
* table stored outside of BigQuery. By defining these properties, the data
* source can then be queried as if it were a standard BigQuery table.
*/
ExternalDataConfiguration externalDataConfiguration;
/** [Optional] A descriptive name for this table. */
core.String friendlyName;
/** [Output-only] An opaque ID uniquely identifying the table. */
core.String id;
/** [Output-only] The type of the resource. */
core.String kind;
/**
* [Experimental] The labels associated with this table. You can use these to
* organize and group your tables. Label keys and values can be no longer than
* 63 characters, can only contain lowercase letters, numeric characters,
* underscores and dashes. International characters are allowed. Label values
* are optional. Label keys must start with a letter and each label in the
* list must have a different key.
*/
core.Map<core.String, core.String> labels;
/**
* [Output-only] The time when this table was last modified, in milliseconds
* since the epoch.
*/
core.String lastModifiedTime;
/**
* [Output-only] The geographic location where the table resides. This value
* is inherited from the dataset.
*/
core.String location;
/**
* [Output-only] The size of this table in bytes, excluding any data in the
* streaming buffer.
*/
core.String numBytes;
/**
* [Output-only] The number of bytes in the table that are considered
* "long-term storage".
*/
core.String numLongTermBytes;
/**
* [Output-only] The number of rows of data in this table, excluding any data
* in the streaming buffer.
*/
core.String numRows;
/** [Optional] Describes the schema of this table. */
TableSchema schema;
/** [Output-only] A URL that can be used to access this resource again. */
core.String selfLink;
/**
* [Output-only] Contains information regarding this table's streaming buffer,
* if one is present. This field will be absent if the table is not being
* streamed to or if there is no data in the streaming buffer.
*/
Streamingbuffer streamingBuffer;
/** [Required] Reference describing the ID of this table. */
TableReference tableReference;
/**
* [Experimental] If specified, configures time-based partitioning for this
* table.
*/
TimePartitioning timePartitioning;
/**
* [Output-only] Describes the table type. The following values are supported:
* TABLE: A normal BigQuery table. VIEW: A virtual table defined by a SQL
* query. EXTERNAL: A table that references data stored in an external storage
* system, such as Google Cloud Storage. The default value is TABLE.
*/
core.String type;
/** [Optional] The view definition. */
ViewDefinition view;
Table();
Table.fromJson(core.Map _json) {
if (_json.containsKey("creationTime")) {
creationTime = _json["creationTime"];
}
if (_json.containsKey("description")) {
description = _json["description"];
}
if (_json.containsKey("etag")) {
etag = _json["etag"];
}
if (_json.containsKey("expirationTime")) {
expirationTime = _json["expirationTime"];
}
if (_json.containsKey("externalDataConfiguration")) {
externalDataConfiguration = new ExternalDataConfiguration.fromJson(_json["externalDataConfiguration"]);
}
if (_json.containsKey("friendlyName")) {
friendlyName = _json["friendlyName"];
}
if (_json.containsKey("id")) {
id = _json["id"];
}
if (_json.containsKey("kind")) {
kind = _json["kind"];
}
if (_json.containsKey("labels")) {
labels = _json["labels"];
}
if (_json.containsKey("lastModifiedTime")) {
lastModifiedTime = _json["lastModifiedTime"];
}
if (_json.containsKey("location")) {
location = _json["location"];
}
if (_json.containsKey("numBytes")) {
numBytes = _json["numBytes"];
}
if (_json.containsKey("numLongTermBytes")) {
numLongTermBytes = _json["numLongTermBytes"];
}
if (_json.containsKey("numRows")) {
numRows = _json["numRows"];
}
if (_json.containsKey("schema")) {
schema = new TableSchema.fromJson(_json["schema"]);
}
if (_json.containsKey("selfLink")) {
selfLink = _json["selfLink"];
}
if (_json.containsKey("streamingBuffer")) {
streamingBuffer = new Streamingbuffer.fromJson(_json["streamingBuffer"]);
}
if (_json.containsKey("tableReference")) {
tableReference = new TableReference.fromJson(_json["tableReference"]);
}
if (_json.containsKey("timePartitioning")) {
timePartitioning = new TimePartitioning.fromJson(_json["timePartitioning"]);
}
if (_json.containsKey("type")) {
type = _json["type"];
}
if (_json.containsKey("view")) {
view = new ViewDefinition.fromJson(_json["view"]);
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (creationTime != null) {
_json["creationTime"] = creationTime;
}
if (description != null) {
_json["description"] = description;
}
if (etag != null) {
_json["etag"] = etag;
}
if (expirationTime != null) {
_json["expirationTime"] = expirationTime;
}
if (externalDataConfiguration != null) {
_json["externalDataConfiguration"] = (externalDataConfiguration).toJson();
}
if (friendlyName != null) {
_json["friendlyName"] = friendlyName;
}
if (id != null) {
_json["id"] = id;
}
if (kind != null) {
_json["kind"] = kind;
}
if (labels != null) {
_json["labels"] = labels;
}
if (lastModifiedTime != null) {
_json["lastModifiedTime"] = lastModifiedTime;
}
if (location != null) {
_json["location"] = location;
}
if (numBytes != null) {
_json["numBytes"] = numBytes;
}
if (numLongTermBytes != null) {
_json["numLongTermBytes"] = numLongTermBytes;
}
if (numRows != null) {
_json["numRows"] = numRows;
}
if (schema != null) {
_json["schema"] = (schema).toJson();
}
if (selfLink != null) {
_json["selfLink"] = selfLink;
}
if (streamingBuffer != null) {
_json["streamingBuffer"] = (streamingBuffer).toJson();
}
if (tableReference != null) {
_json["tableReference"] = (tableReference).toJson();
}
if (timePartitioning != null) {
_json["timePartitioning"] = (timePartitioning).toJson();
}
if (type != null) {
_json["type"] = type;
}
if (view != null) {
_json["view"] = (view).toJson();
}
return _json;
}
}
class TableCell {
/**
*
*
* The values for Object must be JSON objects. It can consist of `num`,
* `String`, `bool` and `null` as well as `Map` and `List` values.
*/
core.Object v;
TableCell();
TableCell.fromJson(core.Map _json) {
if (_json.containsKey("v")) {
v = _json["v"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (v != null) {
_json["v"] = v;
}
return _json;
}
}
class TableDataInsertAllRequestRows {
/**
* [Optional] A unique ID for each row. BigQuery uses this property to detect
* duplicate insertion requests on a best-effort basis.
*/
core.String insertId;
/**
* [Required] A JSON object that contains a row of data. The object's
* properties and values must match the destination table's schema.
*/
JsonObject json;
TableDataInsertAllRequestRows();
TableDataInsertAllRequestRows.fromJson(core.Map _json) {
if (_json.containsKey("insertId")) {
insertId = _json["insertId"];
}
if (_json.containsKey("json")) {
json = new JsonObject.fromJson(_json["json"]);
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (insertId != null) {
_json["insertId"] = insertId;
}
if (json != null) {
_json["json"] = json;
}
return _json;
}
}
class TableDataInsertAllRequest {
/**
* [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.
*/
core.bool ignoreUnknownValues;
/** The resource type of the response. */
core.String kind;
/** The rows to insert. */
core.List<TableDataInsertAllRequestRows> rows;
/**
* [Optional] Insert all valid rows of a request, even if invalid rows exist.
* The default value is false, which causes the entire request to fail if any
* invalid rows exist.
*/
core.bool skipInvalidRows;
/**
* [Experimental] If specified, treats the destination table as a base
* template, and inserts the rows into an instance table named
* "{destination}{templateSuffix}". BigQuery will manage creation of the
* instance table, using the schema of the base template table. See
* https://cloud.google.com/bigquery/streaming-data-into-bigquery#template-tables
* for considerations when working with templates tables.
*/
core.String templateSuffix;
TableDataInsertAllRequest();
TableDataInsertAllRequest.fromJson(core.Map _json) {
if (_json.containsKey("ignoreUnknownValues")) {
ignoreUnknownValues = _json["ignoreUnknownValues"];
}
if (_json.containsKey("kind")) {
kind = _json["kind"];
}
if (_json.containsKey("rows")) {
rows = _json["rows"].map((value) => new TableDataInsertAllRequestRows.fromJson(value)).toList();
}
if (_json.containsKey("skipInvalidRows")) {
skipInvalidRows = _json["skipInvalidRows"];
}
if (_json.containsKey("templateSuffix")) {
templateSuffix = _json["templateSuffix"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (ignoreUnknownValues != null) {
_json["ignoreUnknownValues"] = ignoreUnknownValues;
}
if (kind != null) {
_json["kind"] = kind;
}
if (rows != null) {
_json["rows"] = rows.map((value) => (value).toJson()).toList();
}
if (skipInvalidRows != null) {
_json["skipInvalidRows"] = skipInvalidRows;
}
if (templateSuffix != null) {
_json["templateSuffix"] = templateSuffix;
}
return _json;
}
}
class TableDataInsertAllResponseInsertErrors {
/** Error information for the row indicated by the index property. */
core.List<ErrorProto> errors;
/** The index of the row that error applies to. */
core.int index;
TableDataInsertAllResponseInsertErrors();
TableDataInsertAllResponseInsertErrors.fromJson(core.Map _json) {
if (_json.containsKey("errors")) {
errors = _json["errors"].map((value) => new ErrorProto.fromJson(value)).toList();
}
if (_json.containsKey("index")) {
index = _json["index"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (errors != null) {
_json["errors"] = errors.map((value) => (value).toJson()).toList();
}
if (index != null) {
_json["index"] = index;
}
return _json;
}
}
class TableDataInsertAllResponse {
/** An array of errors for rows that were not inserted. */
core.List<TableDataInsertAllResponseInsertErrors> insertErrors;
/** The resource type of the response. */
core.String kind;
TableDataInsertAllResponse();
TableDataInsertAllResponse.fromJson(core.Map _json) {
if (_json.containsKey("insertErrors")) {
insertErrors = _json["insertErrors"].map((value) => new TableDataInsertAllResponseInsertErrors.fromJson(value)).toList();
}
if (_json.containsKey("kind")) {
kind = _json["kind"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (insertErrors != null) {
_json["insertErrors"] = insertErrors.map((value) => (value).toJson()).toList();
}
if (kind != null) {
_json["kind"] = kind;
}
return _json;
}
}
class TableDataList {
/** A hash of this page of results. */
core.String etag;
/** The resource type of the response. */
core.String kind;
/**
* A token used for paging results. Providing this token instead of the
* startIndex parameter can help you retrieve stable results when an
* underlying table is changing.
*/
core.String pageToken;
/** Rows of results. */
core.List<TableRow> rows;
/** The total number of rows in the complete table. */
core.String totalRows;
TableDataList();
TableDataList.fromJson(core.Map _json) {
if (_json.containsKey("etag")) {
etag = _json["etag"];
}
if (_json.containsKey("kind")) {
kind = _json["kind"];
}
if (_json.containsKey("pageToken")) {
pageToken = _json["pageToken"];
}
if (_json.containsKey("rows")) {
rows = _json["rows"].map((value) => new TableRow.fromJson(value)).toList();
}
if (_json.containsKey("totalRows")) {
totalRows = _json["totalRows"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (etag != null) {
_json["etag"] = etag;
}
if (kind != null) {
_json["kind"] = kind;
}
if (pageToken != null) {
_json["pageToken"] = pageToken;
}
if (rows != null) {
_json["rows"] = rows.map((value) => (value).toJson()).toList();
}
if (totalRows != null) {
_json["totalRows"] = totalRows;
}
return _json;
}
}
class TableFieldSchema {
/**
* [Optional] The field description. The maximum length is 1,024 characters.
*/
core.String description;
/**
* [Optional] Describes the nested schema fields if the type property is set
* to RECORD.
*/
core.List<TableFieldSchema> fields;
/**
* [Optional] The field mode. Possible values include NULLABLE, REQUIRED and
* REPEATED. The default value is NULLABLE.
*/
core.String mode;
/**
* [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.
*/
core.String name;
/**
* [Required] The field data type. Possible values include STRING, BYTES,
* INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), BOOLEAN,
* BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, RECORD (where
* RECORD indicates that the field contains a nested schema) or STRUCT (same
* as RECORD).
*/
core.String type;
TableFieldSchema();
TableFieldSchema.fromJson(core.Map _json) {
if (_json.containsKey("description")) {
description = _json["description"];
}
if (_json.containsKey("fields")) {
fields = _json["fields"].map((value) => new TableFieldSchema.fromJson(value)).toList();
}
if (_json.containsKey("mode")) {
mode = _json["mode"];
}
if (_json.containsKey("name")) {
name = _json["name"];
}
if (_json.containsKey("type")) {
type = _json["type"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (description != null) {
_json["description"] = description;
}
if (fields != null) {
_json["fields"] = fields.map((value) => (value).toJson()).toList();
}
if (mode != null) {
_json["mode"] = mode;
}
if (name != null) {
_json["name"] = name;
}
if (type != null) {
_json["type"] = type;
}
return _json;
}
}
/** Additional details for a view. */
class TableListTablesView {
/**
* True if view is defined in legacy SQL dialect, false if in standard SQL.
*/
core.bool useLegacySql;
TableListTablesView();
TableListTablesView.fromJson(core.Map _json) {
if (_json.containsKey("useLegacySql")) {
useLegacySql = _json["useLegacySql"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (useLegacySql != null) {
_json["useLegacySql"] = useLegacySql;
}
return _json;
}
}
class TableListTables {
/** The user-friendly name for this table. */
core.String friendlyName;
/** An opaque ID of the table */
core.String id;
/** The resource type. */
core.String kind;
/**
* [Experimental] The labels associated with this table. You can use these to
* organize and group your tables.
*/
core.Map<core.String, core.String> labels;
/** A reference uniquely identifying the table. */
TableReference tableReference;
/** [Experimental] The time-based partitioning for this table. */
TimePartitioning timePartitioning;
/** The type of table. Possible values are: TABLE, VIEW. */
core.String type;
/** Additional details for a view. */
TableListTablesView view;
TableListTables();
TableListTables.fromJson(core.Map _json) {
if (_json.containsKey("friendlyName")) {
friendlyName = _json["friendlyName"];
}
if (_json.containsKey("id")) {
id = _json["id"];
}
if (_json.containsKey("kind")) {
kind = _json["kind"];
}
if (_json.containsKey("labels")) {
labels = _json["labels"];
}
if (_json.containsKey("tableReference")) {
tableReference = new TableReference.fromJson(_json["tableReference"]);
}
if (_json.containsKey("timePartitioning")) {
timePartitioning = new TimePartitioning.fromJson(_json["timePartitioning"]);
}
if (_json.containsKey("type")) {
type = _json["type"];
}
if (_json.containsKey("view")) {
view = new TableListTablesView.fromJson(_json["view"]);
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (friendlyName != null) {
_json["friendlyName"] = friendlyName;
}
if (id != null) {
_json["id"] = id;
}
if (kind != null) {
_json["kind"] = kind;
}
if (labels != null) {
_json["labels"] = labels;
}
if (tableReference != null) {
_json["tableReference"] = (tableReference).toJson();
}
if (timePartitioning != null) {
_json["timePartitioning"] = (timePartitioning).toJson();
}
if (type != null) {
_json["type"] = type;
}
if (view != null) {
_json["view"] = (view).toJson();
}
return _json;
}
}
class TableList {
/** A hash of this page of results. */
core.String etag;
/** The type of list. */
core.String kind;
/** A token to request the next page of results. */
core.String nextPageToken;
/** Tables in the requested dataset. */
core.List<TableListTables> tables;
/** The total number of tables in the dataset. */
core.int totalItems;
TableList();
TableList.fromJson(core.Map _json) {
if (_json.containsKey("etag")) {
etag = _json["etag"];
}
if (_json.containsKey("kind")) {
kind = _json["kind"];
}
if (_json.containsKey("nextPageToken")) {
nextPageToken = _json["nextPageToken"];
}
if (_json.containsKey("tables")) {
tables = _json["tables"].map((value) => new TableListTables.fromJson(value)).toList();
}
if (_json.containsKey("totalItems")) {
totalItems = _json["totalItems"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (etag != null) {
_json["etag"] = etag;
}
if (kind != null) {
_json["kind"] = kind;
}
if (nextPageToken != null) {
_json["nextPageToken"] = nextPageToken;
}
if (tables != null) {
_json["tables"] = tables.map((value) => (value).toJson()).toList();
}
if (totalItems != null) {
_json["totalItems"] = totalItems;
}
return _json;
}
}
class TableReference {
/** [Required] The ID of the dataset containing this table. */
core.String datasetId;
/** [Required] The ID of the project containing this table. */
core.String projectId;
/**
* [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.
*/
core.String tableId;
TableReference();
TableReference.fromJson(core.Map _json) {
if (_json.containsKey("datasetId")) {
datasetId = _json["datasetId"];
}
if (_json.containsKey("projectId")) {
projectId = _json["projectId"];
}
if (_json.containsKey("tableId")) {
tableId = _json["tableId"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (datasetId != null) {
_json["datasetId"] = datasetId;
}
if (projectId != null) {
_json["projectId"] = projectId;
}
if (tableId != null) {
_json["tableId"] = tableId;
}
return _json;
}
}
class TableRow {
/**
* Represents a single row in the result set, consisting of one or more
* fields.
*/
core.List<TableCell> f;
TableRow();
TableRow.fromJson(core.Map _json) {
if (_json.containsKey("f")) {
f = _json["f"].map((value) => new TableCell.fromJson(value)).toList();
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (f != null) {
_json["f"] = f.map((value) => (value).toJson()).toList();
}
return _json;
}
}
class TableSchema {
/** Describes the fields in a table. */
core.List<TableFieldSchema> fields;
TableSchema();
TableSchema.fromJson(core.Map _json) {
if (_json.containsKey("fields")) {
fields = _json["fields"].map((value) => new TableFieldSchema.fromJson(value)).toList();
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (fields != null) {
_json["fields"] = fields.map((value) => (value).toJson()).toList();
}
return _json;
}
}
class TimePartitioning {
/**
* [Optional] Number of milliseconds for which to keep the storage for a
* partition.
*/
core.String expirationMs;
/**
* [Required] The only type supported is DAY, which will generate one
* partition per day based on data loading time.
*/
core.String type;
TimePartitioning();
TimePartitioning.fromJson(core.Map _json) {
if (_json.containsKey("expirationMs")) {
expirationMs = _json["expirationMs"];
}
if (_json.containsKey("type")) {
type = _json["type"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (expirationMs != null) {
_json["expirationMs"] = expirationMs;
}
if (type != null) {
_json["type"] = type;
}
return _json;
}
}
class UserDefinedFunctionResource {
/**
* [Pick one] An inline resource that contains code for a user-defined
* function (UDF). Providing a inline code resource is equivalent to providing
* a URI for a file containing the same code.
*/
core.String inlineCode;
/**
* [Pick one] A code resource to load from a Google Cloud Storage URI
* (gs://bucket/path).
*/
core.String resourceUri;
UserDefinedFunctionResource();
UserDefinedFunctionResource.fromJson(core.Map _json) {
if (_json.containsKey("inlineCode")) {
inlineCode = _json["inlineCode"];
}
if (_json.containsKey("resourceUri")) {
resourceUri = _json["resourceUri"];
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (inlineCode != null) {
_json["inlineCode"] = inlineCode;
}
if (resourceUri != null) {
_json["resourceUri"] = resourceUri;
}
return _json;
}
}
class ViewDefinition {
/** [Required] A query that BigQuery executes when the view is referenced. */
core.String query;
/**
* Specifies whether to use BigQuery's legacy SQL for this view. The default
* value is true. If set to false, the view will use BigQuery's standard SQL:
* https://cloud.google.com/bigquery/sql-reference/ Queries and views that
* reference this view must use the same flag value.
*/
core.bool useLegacySql;
/** Describes user-defined function resources used in the query. */
core.List<UserDefinedFunctionResource> userDefinedFunctionResources;
ViewDefinition();
ViewDefinition.fromJson(core.Map _json) {
if (_json.containsKey("query")) {
query = _json["query"];
}
if (_json.containsKey("useLegacySql")) {
useLegacySql = _json["useLegacySql"];
}
if (_json.containsKey("userDefinedFunctionResources")) {
userDefinedFunctionResources = _json["userDefinedFunctionResources"].map((value) => new UserDefinedFunctionResource.fromJson(value)).toList();
}
}
core.Map<core.String, core.Object> toJson() {
final core.Map<core.String, core.Object> _json = new core.Map<core.String, core.Object>();
if (query != null) {
_json["query"] = query;
}
if (useLegacySql != null) {
_json["useLegacySql"] = useLegacySql;
}
if (userDefinedFunctionResources != null) {
_json["userDefinedFunctionResources"] = userDefinedFunctionResources.map((value) => (value).toJson()).toList();
}
return _json;
}
}