Interface BigQuery (2.45.0)

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• 2.45.0 (latest)
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• 2.42.3
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• 2.37.2
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• 2.35.0
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• 2.33.2

public interface BigQuery extends Service<BigQueryOptions>

An interface for Google Cloud BigQuery. See Also: Google Cloud BigQuery

Implements

com.google.cloud.Service<com.google.cloud.bigquery.BigQueryOptions>

Methods

cancel(JobId jobId)

public abstract boolean cancel(JobId jobId)

Sends a job cancel request. This call will return immediately. The job status can then be checked using #getJob.

If the location of the job is not "US" or "EU", the jobId must specify the job location.

Example of cancelling a job.

 String jobName = "my_job_name";
 JobId jobId = JobId.of(jobName);
 boolean success = bigquery.cancel(jobId);
 if (success) {
   // job was cancelled
 } else {
   // job was not found
 }
 

Parameter
Name	Description
jobId	JobId

Returns
Type	Description
boolean	true if cancel was requested successfully, false if the job was not found

cancel(String jobId)

public abstract boolean cancel(String jobId)

Sends a job cancel request. This call will return immediately. The job status can then be checked by using #getJob.

If the location of the job is not "US" or "EU", #cancel(JobId) must be used instead.

Example of cancelling a job.

 String jobName = "my_job_name";
 boolean success = bigquery.cancel(jobName);
 if (success) {
   // job was cancelled
 } else {
   // job was not found
 }
 

Parameter
Name	Description
jobId	String

Returns
Type	Description
boolean	true if cancel was requested successfully, false if the job was not found

create(DatasetInfo datasetInfo, BigQuery.DatasetOption[] options)

public abstract Dataset create(DatasetInfo datasetInfo, BigQuery.DatasetOption[] options)

Creates a new dataset.

Example of creating a dataset.

 String datasetName = "my_dataset_name";
 Dataset dataset = null;
 DatasetInfo datasetInfo = DatasetInfo.newBuilder(datasetName).build();
 try {
   // the dataset was created
   dataset = bigquery.create(datasetInfo);
 } catch (BigQueryException e) {
   // the dataset was not created
 }
 

Parameters
Name	Description
datasetInfo	DatasetInfo
options	DatasetOption[]

Returns
Type	Description
Dataset

create(JobInfo jobInfo, BigQuery.JobOption[] options)

public abstract Job create(JobInfo jobInfo, BigQuery.JobOption[] options)

Creates a new job.

Example of loading a newline-delimited-json file with textual fields from GCS to a table.

 String datasetName = "my_dataset_name";
 String tableName = "my_table_name";
 String sourceUri = "gs://cloud-samples-data/bigquery/us-states/us-states.json";
 TableId tableId = TableId.of(datasetName, tableName);
 // Table field definition
 Field[] fields = new Field[] { Field.of("name", LegacySQLTypeName.STRING),
 Field.of("post_abbr", LegacySQLTypeName.STRING) };
 // Table schema definition
 Schema schema = Schema.of(fields);
 LoadJobConfiguration configuration = LoadJobConfiguration.builder(tableId, sourceUri)
     .setFormatOptions(FormatOptions.json())
     .setCreateDisposition(CreateDisposition.CREATE_IF_NEEDED)
     .setSchema(schema).build();
 // Load the table
 Job loadJob = bigquery.create(JobInfo.of(configuration));
 loadJob = loadJob.waitFor();
 // Check the table
 System.out.println("State: " + loadJob.getStatus().getState());
 return ((StandardTableDefinition) bigquery.getTable(tableId).getDefinition()).getNumRows();
 

Example of creating a query job.

 String query = "SELECT field FROM my_dataset_name.my_table_name";
 Job job = null;
 JobConfiguration jobConfiguration = QueryJobConfiguration.of(query);
 JobInfo jobInfo = JobInfo.of(jobConfiguration);
 try {
   job = bigquery.create(jobInfo);
 } catch (BigQueryException e) {
   // the job was not created
 }
 

Parameters
Name	Description
jobInfo	JobInfo
options	JobOption[]

Returns
Type	Description
Job

create(RoutineInfo routineInfo, BigQuery.RoutineOption[] options)

public abstract Routine create(RoutineInfo routineInfo, BigQuery.RoutineOption[] options)

Creates a new routine.

Parameters
Name	Description
routineInfo	RoutineInfo
options	RoutineOption[]

Returns
Type	Description
Routine

create(TableInfo tableInfo, BigQuery.TableOption[] options)

public abstract Table create(TableInfo tableInfo, BigQuery.TableOption[] options)

Creates a new table.

Example of creating a table.

 String datasetName = "my_dataset_name";
 String tableName = "my_table_name";
 String fieldName = "string_field";
 TableId tableId = TableId.of(datasetName, tableName);
 // Table field definition
 Field field = Field.of(fieldName, LegacySQLTypeName.STRING);
 // Table schema definition
 Schema schema = Schema.of(field);
 TableDefinition tableDefinition = StandardTableDefinition.of(schema);
 TableInfo tableInfo = TableInfo.newBuilder(tableId, tableDefinition).build();
 Table table = bigquery.create(tableInfo);
 

Parameters
Name	Description
tableInfo	TableInfo
options	TableOption[]

Returns
Type	Description
Table

createConnection()

public abstract Connection createConnection()

Beta

This feature is covered by the Pre-GA Offerings Terms of the Terms of Service. Pre-GA libraries might have limited support, and changes to pre-GA libraries might not be compatible with other pre-GA versions. For more information, see the launch stage descriptions.

Creates a new BigQuery query connection used for executing queries (not the same as BigQuery connection properties). It uses the BigQuery Storage Read API for high throughput queries by default. This overloaded method creates a Connection with default ConnectionSettings for query execution where default values are set for numBufferedRows (20000), useReadApi (true), useLegacySql (false).

Example of creating a query connection.

 Connection connection = bigquery.createConnection();
 

Returns
Type	Description
Connection

createConnection(@NonNull ConnectionSettings connectionSettings)

public abstract Connection createConnection(@NonNull ConnectionSettings connectionSettings)

Beta

This feature is covered by the Pre-GA Offerings Terms of the Terms of Service. Pre-GA libraries might have limited support, and changes to pre-GA libraries might not be compatible with other pre-GA versions. For more information, see the launch stage descriptions.

Creates a new BigQuery query connection used for executing queries (not the same as BigQuery connection properties). It uses the BigQuery Storage Read API for high throughput queries by default.

Example of creating a query connection.

 ConnectionSettings connectionSettings =
     ConnectionSettings.newBuilder()
         .setRequestTimeout(10L)
         .setMaxResults(100L)
         .setUseQueryCache(true)
         .build();
 Connection connection = bigquery.createConnection(connectionSettings);
 

Parameter
Name	Description
connectionSettings	@org.checkerframework.checker.nullness.qual.NonNull com.google.cloud.bigquery.ConnectionSettings

Returns
Type	Description
Connection

delete(DatasetId datasetId, BigQuery.DatasetDeleteOption[] options)

public abstract boolean delete(DatasetId datasetId, BigQuery.DatasetDeleteOption[] options)

Deletes the requested dataset.

Example of deleting a dataset, even if non-empty.

 String projectId = "my_project_id";
 String datasetName = "my_dataset_name";
 DatasetId datasetId = DatasetId.of(projectId, datasetName);
 boolean deleted = bigquery.delete(datasetId, DatasetDeleteOption.deleteContents());
 if (deleted) {
   // the dataset was deleted
 } else {
   // the dataset was not found
 }
 

Parameters
Name	Description
datasetId	DatasetId
options	DatasetDeleteOption[]

Returns
Type	Description
boolean	true if dataset was deleted, false if it was not found

delete(JobId jobId)

public abstract boolean delete(JobId jobId)

Deletes the requested job.

Parameter
Name	Description
jobId	JobId

Returns
Type	Description
boolean	true if job was deleted, false if it was not found

delete(ModelId modelId)

public abstract boolean delete(ModelId modelId)

Deletes the requested model.

Example of deleting a model.

 String projectId = "my_project_id";
 String datasetName = "my_dataset_name";
 String tableName = "my_model_name";
 ModelId modelId = ModelId.of(projectId, datasetName, modelName);
 boolean deleted = bigquery.delete(modelId);
 if (deleted) {
   // the model was deleted
 } else {
   // the model was not found
 }
 

Parameter
Name	Description
modelId	ModelId

Returns
Type	Description
boolean	true if model was deleted, false if it was not found

delete(RoutineId routineId)

public abstract boolean delete(RoutineId routineId)

Deletes the requested routine.

Example of deleting a routine.

 String projectId = "my_project_id";
 String datasetId = "my_dataset_id";
 String routineId = "my_routine_id";
 RoutineId routineId = RoutineId.of(projectId, datasetId, routineId);
 boolean deleted = bigquery.delete(routineId);
 if (deleted) {
   // the routine was deleted
 } else {
   // the routine was not found
 }
 

Parameter
Name	Description
routineId	RoutineId

Returns
Type	Description
boolean	true if routine was deleted, false if it was not found

delete(TableId tableId)

public abstract boolean delete(TableId tableId)

Deletes the requested table.

Example of deleting a table.

 String projectId = "my_project_id";
 String datasetName = "my_dataset_name";
 String tableName = "my_table_name";
 TableId tableId = TableId.of(projectId, datasetName, tableName);
 boolean deleted = bigquery.delete(tableId);
 if (deleted) {
   // the table was deleted
 } else {
   // the table was not found
 }
 

Parameter
Name	Description
tableId	TableId

Returns
Type	Description
boolean	true if table was deleted, false if it was not found

delete(String datasetId, BigQuery.DatasetDeleteOption[] options)

public abstract boolean delete(String datasetId, BigQuery.DatasetDeleteOption[] options)

Deletes the requested dataset.

Example of deleting a dataset from its id, even if non-empty.

 String datasetName = "my_dataset_name";
 boolean deleted = bigquery.delete(datasetName, DatasetDeleteOption.deleteContents());
 if (deleted) {
   // the dataset was deleted
 } else {
   // the dataset was not found
 }
 

Parameters
Name	Description
datasetId	String
options	DatasetDeleteOption[]

Returns
Type	Description
boolean	true if dataset was deleted, false if it was not found

delete(String datasetId, String tableId) (deprecated)

public abstract boolean delete(String datasetId, String tableId)

Deprecated. Now that BigQuery datasets contain multiple resource types, this invocation is ambiguous. Please use more strongly typed version of #delete that leverages an non-ambiguous resource type identifier such as TableId.

Deletes the requested table.

Parameters
Name	Description
datasetId	String
tableId	String

Returns
Type	Description
boolean	true if table was deleted, false if it was not found

getDataset(DatasetId datasetId, BigQuery.DatasetOption[] options)

public abstract Dataset getDataset(DatasetId datasetId, BigQuery.DatasetOption[] options)

Returns the requested dataset or null if not found.

Example of getting a dataset.

 String projectId = "my_project_id";
 String datasetName = "my_dataset_name";
 DatasetId datasetId = DatasetId.of(projectId, datasetName);
 Dataset dataset = bigquery.getDataset(datasetId);
 

Parameters
Name	Description
datasetId	DatasetId
options	DatasetOption[]

Returns
Type	Description
Dataset

getDataset(String datasetId, BigQuery.DatasetOption[] options)

public abstract Dataset getDataset(String datasetId, BigQuery.DatasetOption[] options)

Returns the requested dataset or null if not found.

Example of getting a dataset.

 String datasetName = "my_dataset";
 Dataset dataset = bigquery.getDataset(datasetName);
 

Parameters
Name	Description
datasetId	String
options	DatasetOption[]

Returns
Type	Description
Dataset

getIamPolicy(TableId tableId, BigQuery.IAMOption[] options)

public abstract Policy getIamPolicy(TableId tableId, BigQuery.IAMOption[] options)

Gets the IAM policy for a specified table.

Parameters
Name	Description
tableId	TableId
options	IAMOption[]

Returns
Type	Description
com.google.cloud.Policy

getJob(JobId jobId, BigQuery.JobOption[] options)

public abstract Job getJob(JobId jobId, BigQuery.JobOption[] options)

Returns the requested job or null if not found. If the location of the job is not "US" or "EU", the jobId must specify the job location.

Example of getting a job.

 String jobName = "my_job_name";
 JobId jobIdObject = JobId.of(jobName);
 Job job = bigquery.getJob(jobIdObject);
 if (job == null) {
   // job was not found
 }
 

Parameters
Name	Description
jobId	JobId
options	JobOption[]

Returns
Type	Description
Job

getJob(String jobId, BigQuery.JobOption[] options)

public abstract Job getJob(String jobId, BigQuery.JobOption[] options)

Returns the requested job or null if not found. If the location of the job is not "US" or "EU", #getJob(JobId, JobOption...) must be used instead.

Example of getting a job.

 String jobName = "my_job_name";
 Job job = bigquery.getJob(jobName);
 if (job == null) {
   // job was not found
 }
 

Parameters
Name	Description
jobId	String
options	JobOption[]

Returns
Type	Description
Job

getModel(ModelId tableId, BigQuery.ModelOption[] options)

public abstract Model getModel(ModelId tableId, BigQuery.ModelOption[] options)

Returns the requested model or null if not found.

Example of getting a model.

 String projectId = "my_project_id";
 String datasetName = "my_dataset_name";
 String modelName = "my_model_name";
 ModelId modelId = ModelId.of(projectId, datasetName, tableName);
 Model model = bigquery.getModel(modelId);
 

Parameters
Name	Description
tableId	ModelId
options	ModelOption[]

Returns
Type	Description
Model

getModel(String datasetId, String modelId, BigQuery.ModelOption[] options)

public abstract Model getModel(String datasetId, String modelId, BigQuery.ModelOption[] options)

Returns the requested model or null if not found.

Parameters
Name	Description
datasetId	String
modelId	String
options	ModelOption[]

Returns
Type	Description
Model

getQueryResults(JobId jobId, BigQuery.QueryResultsOption[] options)

public abstract QueryResponse getQueryResults(JobId jobId, BigQuery.QueryResultsOption[] options)

Internal Only: This feature is not stable for application use.

Returns results of the query associated with the provided job.

Users are encouraged to use Job#getQueryResults(QueryResultsOption...) instead.

Parameters
Name	Description
jobId	JobId
options	QueryResultsOption[]

Returns
Type	Description
QueryResponse

getRoutine(RoutineId routineId, BigQuery.RoutineOption[] options)

public abstract Routine getRoutine(RoutineId routineId, BigQuery.RoutineOption[] options)

Returns the requested routine or null if not found.

Parameters
Name	Description
routineId	RoutineId
options	RoutineOption[]

Returns
Type	Description
Routine

getRoutine(String datasetId, String routineId, BigQuery.RoutineOption[] options)

public abstract Routine getRoutine(String datasetId, String routineId, BigQuery.RoutineOption[] options)

Returns the requested routine or null if not found.

Parameters
Name	Description
datasetId	String
routineId	String
options	RoutineOption[]

Returns
Type	Description
Routine

getTable(TableId tableId, BigQuery.TableOption[] options)

public abstract Table getTable(TableId tableId, BigQuery.TableOption[] options)

Returns the requested table or null if not found.

Example of getting a table.

 String projectId = "my_project_id";
 String datasetName = "my_dataset_name";
 String tableName = "my_table_name";
 TableId tableId = TableId.of(projectId, datasetName, tableName);
 Table table = bigquery.getTable(tableId);
 

Parameters
Name	Description
tableId	TableId
options	TableOption[]

Returns
Type	Description
Table

getTable(String datasetId, String tableId, BigQuery.TableOption[] options)

public abstract Table getTable(String datasetId, String tableId, BigQuery.TableOption[] options)

Returns the requested table or null if not found.

Example of getting a table.

 String datasetName = "my_dataset_name";
 String tableName = "my_table_name";
 Table table = bigquery.getTable(datasetName, tableName);
 

Parameters
Name	Description
datasetId	String
tableId	String
options	TableOption[]

Returns
Type	Description
Table

insertAll(InsertAllRequest request)

public abstract InsertAllResponse insertAll(InsertAllRequest request)

Sends an insert all request.

Example of inserting rows into a table without running a load job.

 String datasetName = "my_dataset_name";
 String tableName = "my_table_name";
 TableId tableId = TableId.of(datasetName, tableName);
 // Values of the row to insert
 Map<String, Object> rowContent = new HashMap<>();
 rowContent.put("booleanField", true);
 // Bytes are passed in base64
 rowContent.put("bytesField", "Cg0NDg0="); // 0xA, 0xD, 0xD, 0xE, 0xD in base64
 // Records are passed as a map
 Map<String, Object> recordsContent = new HashMap<>();
 recordsContent.put("stringField", "Hello, World!");
 rowContent.put("recordField", recordsContent);
 InsertAllResponse response = bigquery.insertAll(InsertAllRequest.newBuilder(tableId).addRow("rowId", rowContent)
     // More rows can be added in the same RPC by invoking .addRow() on the
     // builder
     .build());
 if (response.hasErrors()) {
   // If any of the insertions failed, this lets you inspect the errors
   for (Entry<Long, List<BigQueryError>> entry : response.getInsertErrors().entrySet()) {
     // inspect row error
   }
 }
 

Parameter
Name	Description
request	InsertAllRequest

Returns
Type	Description
InsertAllResponse

listDatasets(BigQuery.DatasetListOption[] options)

public abstract Page<Dataset> listDatasets(BigQuery.DatasetListOption[] options)

Lists the project's datasets. This method returns partial information on each dataset: (Dataset#getDatasetId(), Dataset#getFriendlyName() and Dataset#getGeneratedId()). To get complete information use #getDataset.

Example of listing datasets, specifying the page size.

 // List datasets in the default project
 Page<Dataset> datasets = bigquery.listDatasets(DatasetListOption.pageSize(100));
 for (Dataset dataset : datasets.iterateAll()) {
   // do something with the dataset
 }
 

Parameter
Name	Description
options	DatasetListOption[]

Returns
Type	Description
Page<Dataset>

listDatasets(String projectId, BigQuery.DatasetListOption[] options)

public abstract Page<Dataset> listDatasets(String projectId, BigQuery.DatasetListOption[] options)

Lists the datasets in the provided project. This method returns partial information on each dataset: (Dataset#getDatasetId(), Dataset#getFriendlyName() and Dataset#getGeneratedId()). To get complete information use either #getDataset.

Example of listing datasets in a project, specifying the page size.

 String projectId = "my_project_id";
 // List datasets in a specified project
 Page<Dataset> datasets = bigquery.listDatasets(projectId, DatasetListOption.pageSize(100));
 for (Dataset dataset : datasets.iterateAll()) {
   // do something with the dataset
 }
 

Parameters
Name	Description
projectId	String
options	DatasetListOption[]

Returns
Type	Description
Page<Dataset>

listJobs(BigQuery.JobListOption[] options)

public abstract Page<Job> listJobs(BigQuery.JobListOption[] options)

Lists the jobs.

Example of listing jobs, specifying the page size.

 Page<Job> jobs = bigquery.listJobs(JobListOption.pageSize(100));
 for (Job job : jobs.iterateAll()) {
   // do something with the job
 }
 

Parameter
Name	Description
options	JobListOption[]

Returns
Type	Description
Page<Job>

listModels(DatasetId datasetId, BigQuery.ModelListOption[] options)

public abstract Page<Model> listModels(DatasetId datasetId, BigQuery.ModelListOption[] options)

Lists the models in the dataset.

Parameters
Name	Description
datasetId	DatasetId
options	ModelListOption[]

Returns
Type	Description
Page<Model>

listModels(String datasetId, BigQuery.ModelListOption[] options)

public abstract Page<Model> listModels(String datasetId, BigQuery.ModelListOption[] options)

Lists the models in the dataset.

Parameters
Name	Description
datasetId	String
options	ModelListOption[]

Returns
Type	Description
Page<Model>

listPartitions(TableId tableId)

public abstract List<String> listPartitions(TableId tableId)

Parameter
Name	Description
tableId	TableId

Returns
Type	Description
List<String>	A list of the partition ids present in the partitioned table

listRoutines(DatasetId datasetId, BigQuery.RoutineListOption[] options)

public abstract Page<Routine> listRoutines(DatasetId datasetId, BigQuery.RoutineListOption[] options)

Lists the routines in the specified dataset.

Parameters
Name	Description
datasetId	DatasetId
options	RoutineListOption[]

Returns
Type	Description
Page<Routine>

listRoutines(String datasetId, BigQuery.RoutineListOption[] options)

public abstract Page<Routine> listRoutines(String datasetId, BigQuery.RoutineListOption[] options)

Lists the routines in the specified dataset.

Parameters
Name	Description
datasetId	String
options	RoutineListOption[]

Returns
Type	Description
Page<Routine>

listTableData(TableId tableId, BigQuery.TableDataListOption[] options)

public abstract TableResult listTableData(TableId tableId, BigQuery.TableDataListOption[] options)

Lists the table's rows.

Example of listing table rows, specifying the page size.

 String datasetName = "my_dataset_name";
 String tableName = "my_table_name";
 TableId tableIdObject = TableId.of(datasetName, tableName);
 // This example reads the result 100 rows per RPC call. If there's no need
 // to limit the number,
 // simply omit the option.
 TableResult tableData = bigquery.listTableData(tableIdObject, TableDataListOption.pageSize(100));
 for (FieldValueList row : tableData.iterateAll()) {
   // do something with the row
 }
 

Parameters
Name	Description
tableId	TableId
options	TableDataListOption[]

Returns
Type	Description
TableResult

listTableData(TableId tableId, Schema schema, BigQuery.TableDataListOption[] options)

public abstract TableResult listTableData(TableId tableId, Schema schema, BigQuery.TableDataListOption[] options)

Lists the table's rows. If the schema is not null, it is available to the FieldValueList iterated over.

Example of listing table rows with schema.

 Schema schema = Schema.of(Field.of("word", LegacySQLTypeName.STRING),
     Field.of("word_count", LegacySQLTypeName.STRING), Field.of("corpus", LegacySQLTypeName.STRING),
     Field.of("corpus_date", LegacySQLTypeName.STRING));
 TableResult tableData = bigquery.listTableData(TableId.of("bigquery-public-data", "samples", "shakespeare"),
     schema);
 FieldValueList row = tableData.getValues().iterator().next();
 System.out.println(row.get("word").getStringValue());
 

Parameters
Name	Description
tableId	TableId
schema	Schema
options	TableDataListOption[]

Returns
Type	Description
TableResult

listTableData(String datasetId, String tableId, BigQuery.TableDataListOption[] options)

public abstract TableResult listTableData(String datasetId, String tableId, BigQuery.TableDataListOption[] options)

Lists the table's rows.

Example of listing table rows, specifying the page size.

 String datasetName = "my_dataset_name";
 String tableName = "my_table_name";
 // This example reads the result 100 rows per RPC call. If there's no need
 // to limit the number,
 // simply omit the option.
 TableResult tableData = bigquery.listTableData(datasetName, tableName, TableDataListOption.pageSize(100));
 for (FieldValueList row : tableData.iterateAll()) {
   // do something with the row
 }
 

Parameters
Name	Description
datasetId	String
tableId	String
options	TableDataListOption[]

Returns
Type	Description
TableResult

listTableData(String datasetId, String tableId, Schema schema, BigQuery.TableDataListOption[] options)

public abstract TableResult listTableData(String datasetId, String tableId, Schema schema, BigQuery.TableDataListOption[] options)

Lists the table's rows. If the schema is not null, it is available to the FieldValueList iterated over.

Example of listing table rows with schema.

 String datasetName = "my_dataset_name";
 String tableName = "my_table_name";
 Schema schema = ...;
 String field = "field";
 TableResult tableData = bigquery.listTableData(datasetName, tableName, schema);
 for (FieldValueList row : tableData.iterateAll()) {
   row.get(field);
 }
 

Parameters
Name	Description
datasetId	String
tableId	String
schema	Schema
options	TableDataListOption[]

Returns
Type	Description
TableResult

listTables(DatasetId datasetId, BigQuery.TableListOption[] options)

public abstract Page<Table> listTables(DatasetId datasetId, BigQuery.TableListOption[] options)

Lists the tables in the dataset. This method returns partial information on each table: (Table#getTableId(), Table#getFriendlyName(), Table#getGeneratedId() and type, which is part of Table#getDefinition()). To get complete information use either #getTable.

Example of listing the tables in a dataset.

 String projectId = "my_project_id";
 String datasetName = "my_dataset_name";
 DatasetId datasetId = DatasetId.of(projectId, datasetName);
 Page<Table> tables = bigquery.listTables(datasetId, TableListOption.pageSize(100));
 for (Table table : tables.iterateAll()) {
   // do something with the table
 }
 

Parameters
Name	Description
datasetId	DatasetId
options	TableListOption[]

Returns
Type	Description
Page<Table>

listTables(String datasetId, BigQuery.TableListOption[] options)

public abstract Page<Table> listTables(String datasetId, BigQuery.TableListOption[] options)

Lists the tables in the dataset. This method returns partial information on each table: (Table#getTableId(), Table#getFriendlyName(), Table#getGeneratedId() and type, which is part of Table#getDefinition()). To get complete information use either #getTable.

Example of listing the tables in a dataset, specifying the page size.

 String datasetName = "my_dataset_name";
 Page<Table> tables = bigquery.listTables(datasetName, TableListOption.pageSize(100));
 for (Table table : tables.iterateAll()) {
   // do something with the table
 }
 

Parameters
Name	Description
datasetId	String
options	TableListOption[]

Returns
Type	Description
Page<Table>

query(QueryJobConfiguration configuration, BigQuery.JobOption[] options)

public abstract TableResult query(QueryJobConfiguration configuration, BigQuery.JobOption[] options)

Runs the query associated with the request, using an internally-generated random JobId.

If the location of the job is not "US" or "EU", #query(QueryJobConfiguration, JobId, JobOption...) must be used instead.

This method cannot be used in conjuction with QueryJobConfiguration#dryRun() queries. Since dry-run queries are not actually executed, there's no way to retrieve results.

Example of running a query.

 // BigQuery bigquery = BigQueryOptions.getDefaultInstance().getService();
 String query = "SELECT corpus FROM bigquery-public-data.samples.shakespeare GROUP BY corpus;";
 QueryJobConfiguration queryConfig = QueryJobConfiguration.newBuilder(query).build();

 // Print the results.
 for (FieldValueList row : bigquery.query(queryConfig).iterateAll()) {
   for (FieldValue val : row) {
     System.out.printf("%s,", val.toString());
   }
   System.out.printf("
");
 }
 

This method supports query-related preview features via environmental variables (enabled by setting the QUERY_PREVIEW_ENABLED environment variable to "TRUE"). Specifically, this method supports:

• Stateless queries: query execution without corresponding job metadata

The behaviour of these preview features is controlled by the bigquery service as well

Parameters
Name	Description
configuration	QueryJobConfiguration
options	JobOption[]

Returns
Type	Description
TableResult

Exceptions
Type	Description
InterruptedException	upon failure
JobException	upon failure

query(QueryJobConfiguration configuration, JobId jobId, BigQuery.JobOption[] options)

public abstract TableResult query(QueryJobConfiguration configuration, JobId jobId, BigQuery.JobOption[] options)

Runs the query associated with the request, using the given JobId.

If the location of the job is not "US" or "EU", the jobId must specify the job location.

This method cannot be used in conjunction with QueryJobConfiguration#dryRun() queries. Since dry-run queries are not actually executed, there's no way to retrieve results.

See #query(QueryJobConfiguration, JobOption...) for examples on populating a QueryJobConfiguration.

Parameters
Name	Description
configuration	QueryJobConfiguration
jobId	JobId
options	JobOption[]

Returns
Type	Description
TableResult

Exceptions
Type	Description
InterruptedException	upon failure
JobException	upon failure

setIamPolicy(TableId tableId, Policy policy, BigQuery.IAMOption[] options)

public abstract Policy setIamPolicy(TableId tableId, Policy policy, BigQuery.IAMOption[] options)

Sets the IAM policy for a specified table.

Parameters
Name	Description
tableId	TableId
policy	com.google.cloud.Policy
options	IAMOption[]

Returns
Type	Description
com.google.cloud.Policy

testIamPermissions(TableId table, List<String> permissions, BigQuery.IAMOption[] options)

public abstract List<String> testIamPermissions(TableId table, List<String> permissions, BigQuery.IAMOption[] options)

Tests whether the caller holds specific permissions on a BigQuery table. The returned list represents the subset of granted permissions.

Parameters
Name	Description
table	TableId
permissions	List<String>
options	IAMOption[]

Returns
Type	Description
List<String>

update(DatasetInfo datasetInfo, BigQuery.DatasetOption[] options)

public abstract Dataset update(DatasetInfo datasetInfo, BigQuery.DatasetOption[] options)

Updates dataset information.

Example of updating a dataset by changing its description.

 // String datasetName = "my_dataset_name";
 // String tableName = "my_table_name";
 // String newDescription = "new_description";

 Table beforeTable = bigquery.getTable(datasetName, tableName);
 TableInfo tableInfo = beforeTable.toBuilder().setDescription(newDescription).build();
 Table afterTable = bigquery.update(tableInfo);
 

Parameters
Name	Description
datasetInfo	DatasetInfo
options	DatasetOption[]

Returns
Type	Description
Dataset

update(ModelInfo modelInfo, BigQuery.ModelOption[] options)

public abstract Model update(ModelInfo modelInfo, BigQuery.ModelOption[] options)

Updates model information.

Example of updating a model by changing its description.

 String datasetName = "my_dataset_name";
 String modelName = "my_model_name";
 String newDescription = "new_description";
 Model beforeModel = bigquery.getModel(datasetName, modelName);
 ModelInfo modelInfo = beforeModel.toBuilder().setDescription(newDescription).build();
 Model afterModel = bigquery.update(modelInfo);
 

Example of updating a model by changing its expiration.

 String datasetName = "my_dataset_name";
 String modelName = "my_model_name";
 Model beforeModel = bigquery.getModel(datasetName, modelName);

 // Set model to expire 5 days from now.
 long expirationMillis = DateTime.now().plusDays(5).getMillis();
 ModelInfo modelInfo = beforeModel.toBuilder().setExpirationTime(expirationMillis).build();
 Model afterModel = bigquery.update(modelInfo);
 

Parameters
Name	Description
modelInfo	ModelInfo
options	ModelOption[]

Returns
Type	Description
Model

update(RoutineInfo routineInfo, BigQuery.RoutineOption[] options)

public abstract Routine update(RoutineInfo routineInfo, BigQuery.RoutineOption[] options)

Updates routine information.

Parameters
Name	Description
routineInfo	RoutineInfo
options	RoutineOption[]

Returns
Type	Description
Routine

update(TableInfo tableInfo, BigQuery.TableOption[] options)

public abstract Table update(TableInfo tableInfo, BigQuery.TableOption[] options)

Updates table information.

Example of updating a table by changing its description.

 String datasetName = "my_dataset_name";
 String tableName = "my_table_name";
 String newDescription = "new_description";
 Table beforeTable = bigquery.getTable(datasetName, tableName);
 TableInfo tableInfo = beforeTable.toBuilder().setDescription(newDescription).build();
 Table afterTable = bigquery.update(tableInfo);
 

Example of updating a table by changing its expiration.

 String datasetName = "my_dataset_name";
 String tableName = "my_table_name";
 Table beforeTable = bigquery.getTable(datasetName, tableName);

 // Set table to expire 5 days from now.
 long expirationMillis = DateTime.now().plusDays(5).getMillis();
 TableInfo tableInfo = beforeTable.toBuilder().setExpirationTime(expirationMillis).build();
 Table afterTable = bigquery.update(tableInfo);
 

Parameters
Name	Description
tableInfo	TableInfo
options	TableOption[]

Returns
Type	Description
Table

writer(JobId jobId, WriteChannelConfiguration writeChannelConfiguration)

public abstract TableDataWriteChannel writer(JobId jobId, WriteChannelConfiguration writeChannelConfiguration)

Returns a channel to write data to be inserted into a BigQuery table. Data format and other options can be configured using the WriteChannelConfiguration parameter. If the job is not in "US" or "EU", the jobId must contain the location of the job.

Example of creating a channel with which to write to a table.

 String datasetName = "my_dataset_name";
 String tableName = "my_table_name";
 String csvData = "StringValue1
StringValue2
";
 String location = "us";
 TableId tableId = TableId.of(datasetName, tableName);
 WriteChannelConfiguration writeChannelConfiguration = WriteChannelConfiguration.newBuilder(tableId)
     .setFormatOptions(FormatOptions.csv()).build();
 // The location must be specified; other fields can be auto-detected.
 JobId jobId = JobId.newBuilder().setLocation(location).build();
 TableDataWriteChannel writer = bigquery.writer(jobId, writeChannelConfiguration);
 // Write data to writer
 try {
   writer.write(ByteBuffer.wrap(csvData.getBytes(Charsets.UTF_8)));
 } finally {
   writer.close();
 }
 // Get load job
 Job job = writer.getJob();
 job = job.waitFor();
 LoadStatistics stats = job.getStatistics();
 return stats.getOutputRows();
 

Parameters
Name	Description
jobId	JobId
writeChannelConfiguration	WriteChannelConfiguration

Returns
Type	Description
TableDataWriteChannel

writer(WriteChannelConfiguration writeChannelConfiguration)

public abstract TableDataWriteChannel writer(WriteChannelConfiguration writeChannelConfiguration)

Returns a channel to write data to be inserted into a BigQuery table. Data format and other options can be configured using the WriteChannelConfiguration parameter. If the job is not in "US" or "EU", #writer(JobId, WriteChannelConfiguration) must be used instead.

Example of creating a channel with which to write to a table.

 String datasetName = "my_dataset_name";
 String tableName = "my_table_name";
 String csvData = "StringValue1
StringValue2
";
 TableId tableId = TableId.of(datasetName, tableName);
 WriteChannelConfiguration writeChannelConfiguration = WriteChannelConfiguration.newBuilder(tableId)
     .setFormatOptions(FormatOptions.csv()).build();
 TableDataWriteChannel writer = bigquery.writer(writeChannelConfiguration);
 // Write data to writer
 try {
   writer.write(ByteBuffer.wrap(csvData.getBytes(Charsets.UTF_8)));
 } finally {
   writer.close();
 }
 // Get load job
 Job job = writer.getJob();
 job = job.waitFor();
 LoadStatistics stats = job.getStatistics();
 return stats.getOutputRows();
 

Example of writing a local file to a table.

 String datasetName = "my_dataset_name";
 String tableName = "my_table_name";
 Path csvPath = FileSystems.getDefault().getPath(".", "my-data.csv");
 String location = "us";
 TableId tableId = TableId.of(datasetName, tableName);
 WriteChannelConfiguration writeChannelConfiguration = WriteChannelConfiguration.newBuilder(tableId)
     .setFormatOptions(FormatOptions.csv()).build();
 // The location must be specified; other fields can be auto-detected.
 JobId jobId = JobId.newBuilder().setLocation(location).build();
 TableDataWriteChannel writer = bigquery.writer(jobId, writeChannelConfiguration);
 // Write data to writer
 try (OutputStream stream = Channels.newOutputStream(writer)) {
   Files.copy(csvPath, stream);
 }
 // Get load job
 Job job = writer.getJob();
 job = job.waitFor();
 LoadStatistics stats = job.getStatistics();
 return stats.getOutputRows();
 

Parameter
Name	Description
writeChannelConfiguration	WriteChannelConfiguration

Returns
Type	Description
TableDataWriteChannel