Interface BigQuery (2.37.0)

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 either #getJob(JobId, JobOption...) or #getJob(String, JobOption...)).

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

Example of cancelling a job.

{ @code 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
NameDescription
jobIdJobId
Returns
TypeDescription
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 using either #getJob(JobId, JobOption...) or #getJob(String, JobOption...)).

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

Example of cancelling a job.

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

Parameter
NameDescription
jobIdString
Returns
TypeDescription
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.

{ @code 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
NameDescription
datasetInfoDatasetInfo
optionsDatasetOption[]
Returns
TypeDescription
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.

{ @code 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.

{ @code 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
NameDescription
jobInfoJobInfo
optionsJobOption[]
Returns
TypeDescription
Job

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

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

Creates a new routine.

Parameters
NameDescription
routineInfoRoutineInfo
optionsRoutineOption[]
Returns
TypeDescription
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.

{ @code 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
NameDescription
tableInfoTableInfo
optionsTableOption[]
Returns
TypeDescription
Table

createConnection()

public abstract Connection createConnection()

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.

{ @code Connection connection = bigquery.createConnection(); }

Returns
TypeDescription
Connection

createConnection(@NonNull ConnectionSettings connectionSettings)

public abstract Connection createConnection(@NonNull ConnectionSettings connectionSettings)

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.

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

Parameter
NameDescription
connectionSettings@org.checkerframework.checker.nullness.qual.NonNull com.google.cloud.bigquery.ConnectionSettings
Returns
TypeDescription
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.

{ @code 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
NameDescription
datasetIdDatasetId
optionsDatasetDeleteOption[]
Returns
TypeDescription
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
NameDescription
jobIdJobId
Returns
TypeDescription
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.

{ @code 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
NameDescription
modelIdModelId
Returns
TypeDescription
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
NameDescription
routineIdRoutineId
Returns
TypeDescription
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.

{ @code 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
NameDescription
tableIdTableId
Returns
TypeDescription
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.

{ @code 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
NameDescription
datasetIdString
optionsDatasetDeleteOption[]
Returns
TypeDescription
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
NameDescription
datasetIdString
tableIdString
Returns
TypeDescription
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.

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

Parameters
NameDescription
datasetIdDatasetId
optionsDatasetOption[]
Returns
TypeDescription
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.

{ @code String datasetName = "my_dataset"; Dataset dataset = bigquery.getDataset(datasetName); }

Parameters
NameDescription
datasetIdString
optionsDatasetOption[]
Returns
TypeDescription
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
NameDescription
tableIdTableId
optionsIAMOption[]
Returns
TypeDescription
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.

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

Parameters
NameDescription
jobIdJobId
optionsJobOption[]
Returns
TypeDescription
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.

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

Parameters
NameDescription
jobIdString
optionsJobOption[]
Returns
TypeDescription
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.

{ @code 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
NameDescription
tableIdModelId
optionsModelOption[]
Returns
TypeDescription
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
NameDescription
datasetIdString
modelIdString
optionsModelOption[]
Returns
TypeDescription
Model

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

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

Returns results of the query associated with the provided job.

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

Parameters
NameDescription
jobIdJobId
optionsQueryResultsOption[]
Returns
TypeDescription
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
NameDescription
routineIdRoutineId
optionsRoutineOption[]
Returns
TypeDescription
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
NameDescription
datasetIdString
routineIdString
optionsRoutineOption[]
Returns
TypeDescription
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.

{ @code 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
NameDescription
tableIdTableId
optionsTableOption[]
Returns
TypeDescription
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.

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

Parameters
NameDescription
datasetIdString
tableIdString
optionsTableOption[]
Returns
TypeDescription
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.

{ @code 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
NameDescription
requestInsertAllRequest
Returns
TypeDescription
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 either #getDataset(String, DatasetOption...) or #getDataset(DatasetId, DatasetOption...).

Example of listing datasets, specifying the page size.

{ @code // 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
NameDescription
optionsDatasetListOption[]
Returns
TypeDescription
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(String, DatasetOption...) or #getDataset(DatasetId, DatasetOption...).

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

 {
   @code
   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
NameDescription
projectIdString
optionsDatasetListOption[]
Returns
TypeDescription
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.

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

Parameter
NameDescription
optionsJobListOption[]
Returns
TypeDescription
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
NameDescription
datasetIdDatasetId
optionsModelListOption[]
Returns
TypeDescription
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
NameDescription
datasetIdString
optionsModelListOption[]
Returns
TypeDescription
Page<Model>

listPartitions(TableId tableId)

public abstract List<String> listPartitions(TableId tableId)
Parameter
NameDescription
tableIdTableId
Returns
TypeDescription
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
NameDescription
datasetIdDatasetId
optionsRoutineListOption[]
Returns
TypeDescription
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
NameDescription
datasetIdString
optionsRoutineListOption[]
Returns
TypeDescription
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.

{ @code 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
NameDescription
tableIdTableId
optionsTableDataListOption[]
Returns
TypeDescription
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.

{ @code 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
NameDescription
tableIdTableId
schemaSchema
optionsTableDataListOption[]
Returns
TypeDescription
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.

{ @code 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
NameDescription
datasetIdString
tableIdString
optionsTableDataListOption[]
Returns
TypeDescription
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
NameDescription
datasetIdString
tableIdString
schemaSchema
optionsTableDataListOption[]
Returns
TypeDescription
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(TableId, TableOption...) or #getTable(String, String, TableOption...).

Example of listing the tables in a dataset.

{ @code 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
NameDescription
datasetIdDatasetId
optionsTableListOption[]
Returns
TypeDescription
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(TableId, TableOption...) or #getTable(String, String, TableOption...).

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

{ @code 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
NameDescription
datasetIdString
optionsTableListOption[]
Returns
TypeDescription
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.

{ @code // 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
NameDescription
configurationQueryJobConfiguration
optionsJobOption[]
Returns
TypeDescription
TableResult
Exceptions
TypeDescription
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 conjuction 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
NameDescription
configurationQueryJobConfiguration
jobIdJobId
optionsJobOption[]
Returns
TypeDescription
TableResult
Exceptions
TypeDescription
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
NameDescription
tableIdTableId
policycom.google.cloud.Policy
optionsIAMOption[]
Returns
TypeDescription
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
NameDescription
tableTableId
permissionsList<String>
optionsIAMOption[]