Interface BigQuery

All Superinterfaces:
com.google.cloud.Service<BigQueryOptions>

public interface BigQuery extends com.google.cloud.Service<BigQueryOptions>
An interface for Google Cloud BigQuery.
See Also:
  • Method Details

    • create

      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
         }
       }
       
      Throws:
      BigQueryException - upon failure
    • create

      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);
       }
       
      Throws:
      BigQueryException - upon failure
    • create

      Routine create(RoutineInfo routineInfo, BigQuery.RoutineOption... options)
      Creates a new routine.
      Throws:
      BigQueryException - upon failure
    • create

      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
         }
       }
       
      Throws:
      BigQueryException - upon failure
    • createConnection

      @BetaApi 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);
       }
       
      Parameters:
      connectionSettings -
      Throws:
      BigQueryException - upon failure
    • createConnection

      @BetaApi 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();
       }
       
      Throws:
      BigQueryException - upon failure
    • getDataset

      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);
       }
       
      Throws:
      BigQueryException - upon failure
    • getDataset

      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);
       }
       
      Throws:
      BigQueryException - upon failure
    • listDatasets

      com.google.api.gax.paging.Page<Dataset> listDatasets(BigQuery.DatasetListOption... options)
      Lists the project's datasets. This method returns partial information on each dataset: (DatasetInfo.getDatasetId(), DatasetInfo.getFriendlyName() and DatasetInfo.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
         }
       }
       
      Throws:
      BigQueryException - upon failure
    • listDatasets

      com.google.api.gax.paging.Page<Dataset> listDatasets(String projectId, BigQuery.DatasetListOption... options)
      Lists the datasets in the provided project. This method returns partial information on each dataset: (DatasetInfo.getDatasetId(), DatasetInfo.getFriendlyName() and DatasetInfo.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
         }
       }
       
      Throws:
      BigQueryException - upon failure
    • delete

      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
         }
       }
       
      Returns:
      true if dataset was deleted, false if it was not found
      Throws:
      BigQueryException - upon failure
    • delete

      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
         }
       }
       
      Returns:
      true if dataset was deleted, false if it was not found
      Throws:
      BigQueryException - upon failure
    • delete

      @Deprecated 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.
      Returns:
      true if table was deleted, false if it was not found
      Throws:
      BigQueryException - upon failure
    • delete

      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
         }
       }
       
      Returns:
      true if table was deleted, false if it was not found
      Throws:
      BigQueryException - upon failure
    • delete

      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
         }
       }
       
      Returns:
      true if model was deleted, false if it was not found
      Throws:
      BigQueryException - upon failure
    • delete

      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
       }
       
      Returns:
      true if routine was deleted, false if it was not found
      Throws:
      BigQueryException - upon failure
    • delete

      boolean delete(JobId jobId)
      Deletes the requested job.
      Returns:
      true if job was deleted, false if it was not found
      Throws:
      BigQueryException - upon failure
    • update

      Dataset update(DatasetInfo datasetInfo, BigQuery.DatasetOption... options)
      Updates dataset information.

      Example of updating a dataset by changing its description.

       {
         @code
         // 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);
      
       }
       
      Throws:
      BigQueryException - upon failure
    • update

      Table update(TableInfo tableInfo, BigQuery.TableOption... options)
      Updates table information.

      Example of updating a table by changing its description.

       {
         @code
         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.

       {
         @code
         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);
       }
       
      Throws:
      BigQueryException - upon failure
    • update

      Model update(ModelInfo modelInfo, BigQuery.ModelOption... options)
      Updates model information.

      Example of updating a model by changing its description.

       {
         @code
         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.

       {
         @code
         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);
       }
       
      Throws:
      BigQueryException - upon failure
    • update

      Routine update(RoutineInfo routineInfo, BigQuery.RoutineOption... options)
      Updates routine information.
      Throws:
      BigQueryException - upon failure
    • getTable

      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);
       }
       
      Throws:
      BigQueryException - upon failure
    • getTable

      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);
       }
       
      Throws:
      BigQueryException - upon failure
    • getModel

      Model getModel(String datasetId, String modelId, BigQuery.ModelOption... options)
      Returns the requested model or null if not found.
      Throws:
      BigQueryException - upon failure
    • getModel

      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);
       }
       
      Throws:
      BigQueryException - upon failure
    • getRoutine

      Routine getRoutine(String datasetId, String routineId, BigQuery.RoutineOption... options)
      Returns the requested routine or null if not found.
      Throws:
      BigQueryException - upon failure
    • getRoutine

      Routine getRoutine(RoutineId routineId, BigQuery.RoutineOption... options)
      Returns the requested routine or null if not found.
      Throws:
      BigQueryException - upon failure
    • listRoutines

      com.google.api.gax.paging.Page<Routine> listRoutines(String datasetId, BigQuery.RoutineListOption... options)
      Lists the routines in the specified dataset.
    • listRoutines

      com.google.api.gax.paging.Page<Routine> listRoutines(DatasetId datasetId, BigQuery.RoutineListOption... options)
      Lists the routines in the specified dataset.
    • listTables

      com.google.api.gax.paging.Page<Table> listTables(String datasetId, BigQuery.TableListOption... options)
      Lists the tables in the dataset. This method returns partial information on each table: (TableInfo.getTableId(), TableInfo.getFriendlyName(), TableInfo.getGeneratedId() and type, which is part of TableInfo.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
         }
       }
       
      Throws:
      BigQueryException - upon failure
    • listTables

      com.google.api.gax.paging.Page<Table> listTables(DatasetId datasetId, BigQuery.TableListOption... options)
      Lists the tables in the dataset. This method returns partial information on each table: (TableInfo.getTableId(), TableInfo.getFriendlyName(), TableInfo.getGeneratedId() and type, which is part of TableInfo.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
         }
       }
       
      Throws:
      BigQueryException - upon failure
    • listModels

      com.google.api.gax.paging.Page<Model> listModels(String datasetId, BigQuery.ModelListOption... options)
      Lists the models in the dataset.
    • listModels

      com.google.api.gax.paging.Page<Model> listModels(DatasetId datasetId, BigQuery.ModelListOption... options)
      Lists the models in the dataset.
    • listPartitions

      List<String> listPartitions(TableId tableId)
      Parameters:
      tableId -
      Returns:
      A list of the partition ids present in the partitioned table
    • insertAll

      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
           }
         }
       }
       
      Throws:
      BigQueryException - upon failure
    • listTableData

      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
         }
       }
       
      Throws:
      BigQueryException - upon failure
    • listTableData

      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
         }
       }
       
      Throws:
      BigQueryException - upon failure
    • listTableData

      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);
       }
       
      Throws:
      BigQueryException - upon failure
    • listTableData

      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());
       }
       
      Throws:
      BigQueryException - upon failure
    • getJob

      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
         }
       }
       
      Throws:
      BigQueryException - upon failure
    • getJob

      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
         }
       }
       
      Throws:
      BigQueryException - upon failure
    • listJobs

      com.google.api.gax.paging.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
         }
       }
       
      Throws:
      BigQueryException - upon failure
    • cancel

      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
         }
       }
       
      Returns:
      true if cancel was requested successfully, false if the job was not found
      Throws:
      BigQueryException - upon failure
    • cancel

      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
         }
       }
       
      Returns:
      true if cancel was requested successfully, false if the job was not found
      Throws:
      BigQueryException - upon failure
    • query

      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("\n");
         }
       }
       
      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
      Throws:
      BigQueryException - upon failure
      InterruptedException - if the current thread gets interrupted while waiting for the query to complete
      JobException - if the job completes unsuccessfully
    • query

      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.

      Throws:
      BigQueryException - upon failure
      InterruptedException - if the current thread gets interrupted while waiting for the query to complete
      JobException - if the job completes unsuccessfully
    • getQueryResults

      @InternalApi 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.

    • writer

      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.

       {
         @code
         String datasetName = "my_dataset_name";
         String tableName = "my_table_name";
         String csvData = "StringValue1\nStringValue2\n";
         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.

       {
         @code
         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();
       }
       
      Throws:
      BigQueryException - upon failure
    • writer

      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.

       {
         @code
         String datasetName = "my_dataset_name";
         String tableName = "my_table_name";
         String csvData = "StringValue1\nStringValue2\n";
         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();
       }
       
    • getIamPolicy

      com.google.cloud.Policy getIamPolicy(TableId tableId, BigQuery.IAMOption... options)
      Gets the IAM policy for a specified table.
    • setIamPolicy

      com.google.cloud.Policy setIamPolicy(TableId tableId, com.google.cloud.Policy policy, BigQuery.IAMOption... options)
      Sets the IAM policy for a specified table.
    • testIamPermissions

      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.