import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.Write.WriteDisposition; //导入依赖的package包/类
@Override
public PDone expand(PCollection<InputT> teamAndScore) {
  teamAndScore
      .apply("ConvertToRow", ParDo.of(new BuildRowFn()))
      .apply(
          BigQueryIO.writeTableRows()
              .to(getTable(projectId, datasetId, tableName))
              .withSchema(getSchema())
              .withCreateDisposition(CreateDisposition.CREATE_IF_NEEDED)
              .withWriteDisposition(WriteDisposition.WRITE_APPEND));
  return PDone.in(teamAndScore.getPipeline());
}
 

import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.Write.WriteDisposition; //导入依赖的package包/类
BatchLoads(WriteDisposition writeDisposition, CreateDisposition createDisposition,
           boolean singletonTable,
           DynamicDestinations<?, DestinationT> dynamicDestinations,
           Coder<DestinationT> destinationCoder,
           ValueProvider<String> customGcsTempLocation) {
  bigQueryServices = new BigQueryServicesImpl();
  this.writeDisposition = writeDisposition;
  this.createDisposition = createDisposition;
  this.singletonTable = singletonTable;
  this.dynamicDestinations = dynamicDestinations;
  this.destinationCoder = destinationCoder;
  this.maxNumWritersPerBundle = DEFAULT_MAX_NUM_WRITERS_PER_BUNDLE;
  this.maxFileSize = DEFAULT_MAX_FILE_SIZE;
  this.numFileShards = DEFAULT_NUM_FILE_SHARDS;
  this.triggeringFrequency = null;
  this.customGcsTempLocation = customGcsTempLocation;
}
 

import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.Write.WriteDisposition; //导入依赖的package包/类
public WriteTables(
    boolean singlePartition,
    BigQueryServices bqServices,
    PCollectionView<String> jobIdToken,
    WriteDisposition writeDisposition,
    CreateDisposition createDisposition,
    List<PCollectionView<?>> sideInputs,
    DynamicDestinations<?, DestinationT> dynamicDestinations) {
  this.singlePartition = singlePartition;
  this.bqServices = bqServices;
  this.jobIdToken = jobIdToken;
  this.firstPaneWriteDisposition = writeDisposition;
  this.firstPaneCreateDisposition = createDisposition;
  this.sideInputs = sideInputs;
  this.dynamicDestinations = dynamicDestinations;
  this.mainOutputTag = new TupleTag<>("WriteTablesMainOutput");
  this.temporaryFilesTag = new TupleTag<>("TemporaryFiles");
}
 

import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.Write.WriteDisposition; //导入依赖的package包/类
private boolean validateDispositions(Table table, CreateDisposition createDisposition,
                                     WriteDisposition writeDisposition)
    throws InterruptedException, IOException {
  if (table == null) {
    if (createDisposition == CreateDisposition.CREATE_NEVER) {
      return false;
    }
  } else if (writeDisposition == WriteDisposition.WRITE_TRUNCATE) {
    datasetService.deleteTable(table.getTableReference());
  } else if (writeDisposition == WriteDisposition.WRITE_EMPTY) {
    List<TableRow> allRows = datasetService.getAllRows(table.getTableReference().getProjectId(),
        table.getTableReference().getDatasetId(), table.getTableReference().getTableId());
    if (!allRows.isEmpty()) {
      return false;
    }
  }
  return true;
}
 

import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.Write.WriteDisposition; //导入依赖的package包/类
/**
 * Runs the DatastoreToBigQuery dataflow pipeline
 */
public static void main(String[] args) throws IOException, ScriptException {
  Options options = PipelineOptionsFactory.fromArgs(args)
      .withValidation()
      .as(Options.class);

  NestedValueProvider<String, String> bqJsonSchema = NestedValueProvider
      .of(options.getBqJsonSchema(), new ValueProviderHelpers.GcsLoad());

  options.setRunner(DataflowRunner.class);
  Pipeline pipeline = Pipeline.create(options);
  pipeline
      .apply("IngestEntities",
          DatastoreIO.v1().read()
              .withProjectId(options.getDatastoreProjectId())
              .withLiteralGqlQuery(options.getGqlQuery())
              .withNamespace(options.getNamespace()))
      .apply("EntityToTableRow", ParDo.of(EntityToTableRow.newBuilder()
          .setJsTransformPath(options.getJsTransformPath())
          .setJsTransformFunctionName(options.getJsTransformFunctionName())
          .setStrictCast(options.getStrictCast())
          .setTableSchemaJson(bqJsonSchema)
          .build()))
      .apply("TableRowToBigQuery", BigQueryIO.writeTableRows()
          .to(options.getBqTableSpec())
          .withJsonSchema(bqJsonSchema)
          .withCreateDisposition(CreateDisposition.CREATE_IF_NEEDED)
          .withWriteDisposition(WriteDisposition.WRITE_APPEND));
  pipeline.run();
}
 

import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.Write.WriteDisposition; //导入依赖的package包/类
@Override
public PDone expand(PCollection<T> teamAndScore) {
  teamAndScore
    .apply("ConvertToRow", ParDo.of(new BuildRowFn()))
    .apply(BigQueryIO.writeTableRows()
              .to(getTable(projectId, datasetId, tableName))
              .withSchema(getSchema())
              .withCreateDisposition(CreateDisposition.CREATE_IF_NEEDED)
              .withWriteDisposition(WriteDisposition.WRITE_APPEND));
  return PDone.in(teamAndScore.getPipeline());
}
 

import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.Write.WriteDisposition; //导入依赖的package包/类
public WriteRename(
    BigQueryServices bqServices,
    PCollectionView<String> jobIdToken,
    WriteDisposition writeDisposition,
    CreateDisposition createDisposition) {
  this.bqServices = bqServices;
  this.jobIdToken = jobIdToken;
  this.firstPaneWriteDisposition = writeDisposition;
  this.firstPaneCreateDisposition = createDisposition;
}
 

import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.Write.WriteDisposition; //导入依赖的package包/类
private void writeRename(
    TableDestination finalTableDestination, Iterable<String> tempTableNames, ProcessContext c)
    throws Exception {
  WriteDisposition writeDisposition =
      (c.pane().getIndex() == 0) ? firstPaneWriteDisposition : WriteDisposition.WRITE_APPEND;
  CreateDisposition createDisposition =
      (c.pane().getIndex() == 0) ? firstPaneCreateDisposition : CreateDisposition.CREATE_NEVER;
  List<String> tempTablesJson = Lists.newArrayList(tempTableNames);
  // Do not copy if no temp tables are provided
  if (tempTablesJson.size() == 0) {
    return;
  }

  List<TableReference> tempTables = Lists.newArrayList();
  for (String table : tempTablesJson) {
    tempTables.add(BigQueryHelpers.fromJsonString(table, TableReference.class));
  }

  // Make sure each destination table gets a unique job id.
  String jobIdPrefix =
      BigQueryHelpers.createJobId(c.sideInput(jobIdToken), finalTableDestination, -1,
  c.pane().getIndex());

  copy(
      bqServices.getJobService(c.getPipelineOptions().as(BigQueryOptions.class)),
      bqServices.getDatasetService(c.getPipelineOptions().as(BigQueryOptions.class)),
      jobIdPrefix,
      finalTableDestination.getTableReference(),
      tempTables,
      writeDisposition,
      createDisposition,
      finalTableDestination.getTableDescription());

  DatasetService tableService =
      bqServices.getDatasetService(c.getPipelineOptions().as(BigQueryOptions.class));
  removeTemporaryTables(tableService, tempTables);
}
 

import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.Write.WriteDisposition; //导入依赖的package包/类
private PCollection<KV<TableDestination, String>> writeTempTables(
    PCollection<KV<ShardedKey<DestinationT>, List<String>>> input,
    PCollectionView<String> jobIdTokenView) {
  List<PCollectionView<?>> sideInputs = Lists.<PCollectionView<?>>newArrayList(jobIdTokenView);
  sideInputs.addAll(dynamicDestinations.getSideInputs());

  Coder<KV<ShardedKey<DestinationT>, List<String>>> partitionsCoder =
      KvCoder.of(
          ShardedKeyCoder.of(NullableCoder.of(destinationCoder)),
          ListCoder.of(StringUtf8Coder.of()));

  // If WriteBundlesToFiles produced more than MAX_NUM_FILES files or MAX_SIZE_BYTES bytes, then
  // the import needs to be split into multiple partitions, and those partitions will be
  // specified in multiPartitionsTag.
  return input
      .setCoder(partitionsCoder)
      // Reshuffle will distribute this among multiple workers, and also guard against
      // reexecution of the WritePartitions step once WriteTables has begun.
      .apply("MultiPartitionsReshuffle", Reshuffle.<ShardedKey<DestinationT>, List<String>>of())
      .apply(
          "MultiPartitionsWriteTables",
          new WriteTables<>(
                      false,
                      bigQueryServices,
                      jobIdTokenView,
                      WriteDisposition.WRITE_EMPTY,
                      CreateDisposition.CREATE_IF_NEEDED,
                      sideInputs,
                      dynamicDestinations));
}
 

import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.Write.WriteDisposition; //导入依赖的package包/类
private JobStatus runLoadJob(JobReference jobRef, JobConfigurationLoad load)
    throws InterruptedException, IOException {
  TableReference destination = load.getDestinationTable();
  TableSchema schema = load.getSchema();
  checkArgument(schema != null, "No schema specified");
  List<ResourceId> sourceFiles = filesForLoadJobs.get(jobRef.getProjectId(), jobRef.getJobId());
  WriteDisposition writeDisposition = WriteDisposition.valueOf(load.getWriteDisposition());
  CreateDisposition createDisposition = CreateDisposition.valueOf(load.getCreateDisposition());
  checkArgument(load.getSourceFormat().equals("NEWLINE_DELIMITED_JSON"));
  Table existingTable = datasetService.getTable(destination);
  if (!validateDispositions(existingTable, createDisposition, writeDisposition)) {
    return new JobStatus().setState("FAILED").setErrorResult(new ErrorProto());
  }
  if (existingTable == null) {
    TableReference strippedDestination =
        destination
            .clone()
            .setTableId(BigQueryHelpers.stripPartitionDecorator(destination.getTableId()));
    existingTable =
        new Table()
            .setTableReference(strippedDestination)
            .setSchema(schema);
    if (load.getTimePartitioning() != null) {
      existingTable = existingTable.setTimePartitioning(load.getTimePartitioning());
    }
    datasetService.createTable(existingTable);
  }

  List<TableRow> rows = Lists.newArrayList();
  for (ResourceId filename : sourceFiles) {
    rows.addAll(readRows(filename.toString()));
  }
  datasetService.insertAll(destination, rows, null);
  FileSystems.delete(sourceFiles);
  return new JobStatus().setState("DONE");
}
 

import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.Write.WriteDisposition; //导入依赖的package包/类
private JobStatus runCopyJob(JobConfigurationTableCopy copy)
    throws InterruptedException, IOException {
  List<TableReference> sources = copy.getSourceTables();
  TableReference destination = copy.getDestinationTable();
  WriteDisposition writeDisposition = WriteDisposition.valueOf(copy.getWriteDisposition());
  CreateDisposition createDisposition = CreateDisposition.valueOf(copy.getCreateDisposition());
  Table existingTable = datasetService.getTable(destination);
  if (!validateDispositions(existingTable, createDisposition, writeDisposition)) {
    return new JobStatus().setState("FAILED").setErrorResult(new ErrorProto());
  }
  TimePartitioning partitioning = null;
  TableSchema schema = null;
  boolean first = true;
  List<TableRow> allRows = Lists.newArrayList();
  for (TableReference source : sources) {
    Table table = checkNotNull(datasetService.getTable(source));
    if (!first) {
      if (partitioning != table.getTimePartitioning()) {
        return new JobStatus().setState("FAILED").setErrorResult(new ErrorProto());
      }
      if (schema != table.getSchema()) {
        return new JobStatus().setState("FAILED").setErrorResult(new ErrorProto());
      }
    }
    partitioning = table.getTimePartitioning();
    schema = table.getSchema();
    first = false;
    allRows.addAll(datasetService.getAllRows(
        source.getProjectId(), source.getDatasetId(), source.getTableId()));
  }
  datasetService.createTable(new Table()
      .setTableReference(destination)
      .setSchema(schema)
      .setTimePartitioning(partitioning));
  datasetService.insertAll(destination, allRows, null);
  return new JobStatus().setState("DONE");
}
 

import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.Write.WriteDisposition; //导入依赖的package包/类
/**
 * @param bqrows
 * @param webresourceRowsUnindexed
 * @param webresourceDeduped
 * @param options
 */
private static void writeAllTablesToBigQuery(PCollectionTuple bqrows,
		PCollection<TableRow> webresourceRowsUnindexed, PCollection<TableRow> webresourceDeduped,
		IndexerPipelineOptions options) {
	PCollection<TableRow> webresourceRows = bqrows.get(PipelineTags.webresourceTag);
	PCollection<TableRow> documentRows = bqrows.get(PipelineTags.documentTag);
	PCollection<TableRow> sentimentRows = bqrows.get(PipelineTags.sentimentTag);

	// Now write to BigQuery
	WriteDisposition dispo = options.getWriteTruncate() ? 
		WriteDisposition.WRITE_TRUNCATE: WriteDisposition.WRITE_APPEND; 
	
	//Merge all collections with WebResource table records
	PCollectionList<TableRow> webresourceRowsList = (webresourceDeduped == null) ?
		PCollectionList.of(webresourceRows).and(webresourceRowsUnindexed) :
		PCollectionList.of(webresourceRows).and(webresourceRowsUnindexed).and(webresourceDeduped);
			
	PCollection<TableRow> allWebresourceRows = 
		webresourceRowsList.apply(Flatten.<TableRow>pCollections());
			
	allWebresourceRows = !options.isStreaming() ? 
		allWebresourceRows.apply("Reshuffle Webresources", new Reshuffle<TableRow>()) : 
		allWebresourceRows;
	
	allWebresourceRows
		.apply("Write to webresource", 
			BigQueryIO.writeTableRows()
				.to(getWebResourcePartitionedTableRef(options)) 
				.withSchema(getWebResourceSchema())
				.withCreateDisposition(CreateDisposition.CREATE_NEVER)
				.withWriteDisposition(dispo)); 
	
	documentRows = !options.isStreaming() ?
		documentRows.apply("Reshuffle Documents", new Reshuffle<TableRow>()):
		documentRows;
			
	documentRows
		.apply("Write to document", 
			BigQueryIO.writeTableRows()
				.to(getDocumentPartitionedTableRef(options))
				.withSchema(getDocumentTableSchema())
				.withCreateDisposition(CreateDisposition.CREATE_NEVER)
				.withWriteDisposition(dispo)); 
	
	sentimentRows = !options.isStreaming() ?
		sentimentRows.apply("Reshuffle Sentiments", new Reshuffle<TableRow>()):
		sentimentRows;
			
	sentimentRows
		.apply("Write to sentiment", 
			BigQueryIO.writeTableRows()
				.to(getSentimentPartitionedTableRef(options)) 
				.withSchema(getSentimentSchema())
				.withCreateDisposition(CreateDisposition.CREATE_NEVER)
				.withWriteDisposition(dispo));
}
 

import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.Write.WriteDisposition; //导入依赖的package包/类
public static void main(String[] args) {

    	// Setup Dataflow options
        StreamingOptions options = PipelineOptionsFactory.fromArgs(args)
            .withValidation()
            .as(StreamingOptions.class);
        options.setStreaming(true);


        Pipeline pipeline = Pipeline.create(options);

        //BQ table setup
        TableSchema bqTableSchema;
        try {
            bqTableSchema = createTableSchema(tableSchema);
        } catch (IOException e){
            e.printStackTrace();
            return;
        }
        
        String tableName = projectId + ":" + datasetId + "." + tableId;
        
        Pipeline p = Pipeline.create(options);

        // Read message from Pub/Sub
        p.apply("ReadFromPubSub", PubsubIO.readStrings()
            .fromTopic(readTopic))
        
        // Format tweets for BigQuery - convert string to table row
        .apply("Format for BigQuery", ParDo.of(new StringToRowConverter()))

        
        // Write tweets to BigQuery
        .apply("write to BQ", BigQueryIO.writeTableRows()
            .to(tableName)
            .withCreateDisposition(CreateDisposition.CREATE_IF_NEEDED)
            .withWriteDisposition(WriteDisposition.WRITE_APPEND)
            .withFailedInsertRetryPolicy(InsertRetryPolicy.alwaysRetry())
            .withSchema(bqTableSchema));

        //run pipeline
        PipelineResult result = p.run();
    }
 

import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.Write.WriteDisposition; //导入依赖的package包/类
private void copy(
    JobService jobService,
    DatasetService datasetService,
    String jobIdPrefix,
    TableReference ref,
    List<TableReference> tempTables,
    WriteDisposition writeDisposition,
    CreateDisposition createDisposition,
    @Nullable String tableDescription) throws InterruptedException, IOException {
  JobConfigurationTableCopy copyConfig = new JobConfigurationTableCopy()
      .setSourceTables(tempTables)
      .setDestinationTable(ref)
      .setWriteDisposition(writeDisposition.name())
      .setCreateDisposition(createDisposition.name());

  String projectId = ref.getProjectId();
  Job lastFailedCopyJob = null;
  for (int i = 0; i < BatchLoads.MAX_RETRY_JOBS; ++i) {
    String jobId = jobIdPrefix + "-" + i;
    JobReference jobRef = new JobReference()
        .setProjectId(projectId)
        .setJobId(jobId);
    jobService.startCopyJob(jobRef, copyConfig);
    Job copyJob = jobService.pollJob(jobRef, BatchLoads.LOAD_JOB_POLL_MAX_RETRIES);
    Status jobStatus = BigQueryHelpers.parseStatus(copyJob);
    switch (jobStatus) {
      case SUCCEEDED:
        if (tableDescription != null) {
          datasetService.patchTableDescription(ref, tableDescription);
        }
        return;
      case UNKNOWN:
        throw new RuntimeException(String.format(
            "UNKNOWN status of copy job [%s]: %s.", jobId,
            BigQueryHelpers.jobToPrettyString(copyJob)));
      case FAILED:
        lastFailedCopyJob = copyJob;
        continue;
      default:
        throw new IllegalStateException(String.format(
            "Unexpected status [%s] of load job: %s.",
            jobStatus, BigQueryHelpers.jobToPrettyString(copyJob)));
    }
  }
  throw new RuntimeException(String.format(
      "Failed to create copy job with id prefix %s, "
          + "reached max retries: %d, last failed copy job: %s.",
      jobIdPrefix,
      BatchLoads.MAX_RETRY_JOBS,
      BigQueryHelpers.jobToPrettyString(lastFailedCopyJob)));
}
 

import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.Write.WriteDisposition; //导入依赖的package包/类
@ProcessElement
public void processElement(ProcessContext c) throws Exception {
  dynamicDestinations.setSideInputAccessorFromProcessContext(c);
  DestinationT destination = c.element().getKey().getKey();
  TableSchema tableSchema;
  if (firstPaneCreateDisposition == CreateDisposition.CREATE_NEVER) {
    tableSchema = null;
  } else if (jsonSchemas.containsKey(destination)) {
    tableSchema =
        BigQueryHelpers.fromJsonString(jsonSchemas.get(destination), TableSchema.class);
  } else {
    tableSchema = dynamicDestinations.getSchema(destination);
    checkArgument(
        tableSchema != null,
        "Unless create disposition is %s, a schema must be specified, i.e. "
            + "DynamicDestinations.getSchema() may not return null. "
            + "However, create disposition is %s, and %s returned null for destination %s",
        CreateDisposition.CREATE_NEVER,
        firstPaneCreateDisposition,
        dynamicDestinations,
        destination);
    jsonSchemas.put(destination, BigQueryHelpers.toJsonString(tableSchema));
  }

  TableDestination tableDestination = dynamicDestinations.getTable(destination);
  checkArgument(
      tableDestination != null,
      "DynamicDestinations.getTable() may not return null, "
          + "but %s returned null for destination %s",
      dynamicDestinations,
      destination);
  TableReference tableReference = tableDestination.getTableReference();
  if (Strings.isNullOrEmpty(tableReference.getProjectId())) {
    tableReference.setProjectId(
        c.getPipelineOptions().as(BigQueryOptions.class).getProject());
    tableDestination = new TableDestination(
        tableReference, tableDestination.getTableDescription());
  }

  Integer partition = c.element().getKey().getShardNumber();
  List<String> partitionFiles = Lists.newArrayList(c.element().getValue());
  String jobIdPrefix = BigQueryHelpers.createJobId(
      c.sideInput(jobIdToken), tableDestination, partition, c.pane().getIndex());

  if (!singlePartition) {
    tableReference.setTableId(jobIdPrefix);
  }

  WriteDisposition writeDisposition =
      (c.pane().getIndex() == 0) ? firstPaneWriteDisposition : WriteDisposition.WRITE_APPEND;
  CreateDisposition createDisposition =
      (c.pane().getIndex() == 0) ? firstPaneCreateDisposition : CreateDisposition.CREATE_NEVER;
  load(
      bqServices.getJobService(c.getPipelineOptions().as(BigQueryOptions.class)),
      bqServices.getDatasetService(c.getPipelineOptions().as(BigQueryOptions.class)),
      jobIdPrefix,
      tableReference,
      tableDestination.getTimePartitioning(),
      tableSchema,
      partitionFiles,
      writeDisposition,
      createDisposition,
      tableDestination.getTableDescription());
  c.output(
      mainOutputTag, KV.of(tableDestination, BigQueryHelpers.toJsonString(tableReference)));
  for (String file : partitionFiles) {
    c.output(temporaryFilesTag, file);
  }
}
 

import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.Write.WriteDisposition; //导入依赖的package包/类
private void load(
    JobService jobService,
    DatasetService datasetService,
    String jobIdPrefix,
    TableReference ref,
    TimePartitioning timePartitioning,
    @Nullable TableSchema schema,
    List<String> gcsUris,
    WriteDisposition writeDisposition,
    CreateDisposition createDisposition,
    @Nullable String tableDescription)
    throws InterruptedException, IOException {
  JobConfigurationLoad loadConfig =
      new JobConfigurationLoad()
          .setDestinationTable(ref)
          .setSchema(schema)
          .setSourceUris(gcsUris)
          .setWriteDisposition(writeDisposition.name())
          .setCreateDisposition(createDisposition.name())
          .setSourceFormat("NEWLINE_DELIMITED_JSON");
  if (timePartitioning != null) {
    loadConfig.setTimePartitioning(timePartitioning);
  }
  String projectId = ref.getProjectId();
  Job lastFailedLoadJob = null;
  for (int i = 0; i < BatchLoads.MAX_RETRY_JOBS; ++i) {
    String jobId = jobIdPrefix + "-" + i;
    JobReference jobRef = new JobReference().setProjectId(projectId).setJobId(jobId);
    jobService.startLoadJob(jobRef, loadConfig);
    Job loadJob = jobService.pollJob(jobRef, BatchLoads.LOAD_JOB_POLL_MAX_RETRIES);
    Status jobStatus = BigQueryHelpers.parseStatus(loadJob);
    switch (jobStatus) {
      case SUCCEEDED:
        if (tableDescription != null) {
          datasetService.patchTableDescription(
              ref.clone().setTableId(BigQueryHelpers.stripPartitionDecorator(ref.getTableId())),
              tableDescription);
        }
        return;
      case UNKNOWN:
        throw new RuntimeException(
            String.format(
                "UNKNOWN status of load job [%s]: %s.",
                jobId, BigQueryHelpers.jobToPrettyString(loadJob)));
      case FAILED:
        lastFailedLoadJob = loadJob;
        continue;
      default:
        throw new IllegalStateException(
            String.format(
                "Unexpected status [%s] of load job: %s.",
                jobStatus, BigQueryHelpers.jobToPrettyString(loadJob)));
    }
  }
  throw new RuntimeException(
      String.format(
          "Failed to create load job with id prefix %s, "
              + "reached max retries: %d, last failed load job: %s.",
          jobIdPrefix,
          BatchLoads.MAX_RETRY_JOBS,
          BigQueryHelpers.jobToPrettyString(lastFailedLoadJob)));
}