Examples with ExecutorSettings com.datastax.oss.dsbulk.workflow.commons.settings.ExecutorSettings used on opensource projects

Example 1 with ExecutorSettings

use of com.datastax.oss.dsbulk.workflow.commons.settings.ExecutorSettings in project dsbulk by datastax.

the class LoadWorkflow method init.

@Override
public void init() throws Exception {
    settingsManager.init("LOAD", true, SchemaGenerationStrategy.MAP_AND_WRITE);
    executionId = settingsManager.getExecutionId();
    LogSettings logSettings = settingsManager.getLogSettings();
    logSettings.init();
    ConnectorSettings connectorSettings = settingsManager.getConnectorSettings();
    connectorSettings.init(logSettings.isSources());
    connector = connectorSettings.getConnector();
    connector.init();
    DriverSettings driverSettings = settingsManager.getDriverSettings();
    SchemaSettings schemaSettings = settingsManager.getSchemaSettings();
    BatchSettings batchSettings = settingsManager.getBatchSettings();
    ExecutorSettings executorSettings = settingsManager.getExecutorSettings();
    CodecSettings codecSettings = settingsManager.getCodecSettings();
    MonitoringSettings monitoringSettings = settingsManager.getMonitoringSettings();
    engineSettings = settingsManager.getEngineSettings();
    driverSettings.init(true);
    logSettings.logEffectiveSettings(settingsManager.getEffectiveBulkLoaderConfig(), driverSettings.getDriverConfig());
    monitoringSettings.init();
    codecSettings.init();
    executorSettings.init();
    engineSettings.init();
    ConvertingCodecFactory codecFactory = codecSettings.createCodecFactory(schemaSettings.isAllowExtraFields(), schemaSettings.isAllowMissingFields());
    session = driverSettings.newSession(executionId, codecFactory.getCodecRegistry(), monitoringSettings.getRegistry());
    ClusterInformationUtils.printDebugInfoAboutCluster(session);
    schemaSettings.init(session, codecFactory, connector.supports(CommonConnectorFeature.INDEXED_RECORDS), connector.supports(CommonConnectorFeature.MAPPED_RECORDS));
    logManager = logSettings.newLogManager(session, true);
    logManager.init();
    batchSettings.init();
    batchingEnabled = batchSettings.isBatchingEnabled();
    batchBufferSize = batchSettings.getBufferSize();
    RecordMapper recordMapper;
    try {
        recordMapper = schemaSettings.createRecordMapper(session, connector.getRecordMetadata(), batchingEnabled);
    } catch (NestedBatchException e) {
        LOGGER.warn(e.getMessage());
        batchingEnabled = false;
        recordMapper = schemaSettings.createRecordMapper(session, connector.getRecordMetadata(), false);
    }
    mapper = recordMapper::map;
    if (batchingEnabled) {
        batcher = batchSettings.newStatementBatcher(session)::batchByGroupingKey;
    }
    metricsManager = monitoringSettings.newMetricsManager(true, batchingEnabled, logManager.getOperationDirectory(), logSettings.getVerbosity(), session.getContext().getProtocolVersion(), session.getContext().getCodecRegistry(), schemaSettings.getRowType());
    metricsManager.init();
    executor = executorSettings.newWriteExecutor(session, metricsManager.getExecutionListener());
    dryRun = engineSettings.isDryRun();
    if (dryRun) {
        LOGGER.info("Dry-run mode enabled.");
    }
    closed.set(false);
    totalItemsMonitor = metricsManager.newTotalItemsMonitor();
    failedRecordsMonitor = metricsManager.newFailedItemsMonitor();
    failedStatementsMonitor = metricsManager.newFailedItemsMonitor();
    batcherMonitor = metricsManager.newBatcherMonitor();
    totalItemsCounter = logManager.newTotalItemsCounter();
    failedRecordsHandler = logManager.newFailedRecordsHandler();
    unmappableStatementsHandler = logManager.newUnmappableStatementsHandler();
    queryWarningsHandler = logManager.newQueryWarningsHandler();
    failedWritesHandler = logManager.newFailedWritesHandler();
    resultPositionsHndler = logManager.newResultPositionsHandler();
    terminationHandler = logManager.newTerminationHandler();
    numCores = Runtime.getRuntime().availableProcessors();
    if (connector.readConcurrency() < 1) {
        throw new IllegalArgumentException("Invalid read concurrency: " + connector.readConcurrency());
    }
    readConcurrency = connector.readConcurrency();
    hasManyReaders = readConcurrency >= Math.max(4, numCores / 4);
    LOGGER.debug("Using read concurrency: {}", readConcurrency);
    writeConcurrency = engineSettings.getMaxConcurrentQueries().orElseGet(this::determineWriteConcurrency);
    LOGGER.debug("Using write concurrency: {} (user-supplied: {})", writeConcurrency, engineSettings.getMaxConcurrentQueries().isPresent());
}

Example 2 with ExecutorSettings

use of com.datastax.oss.dsbulk.workflow.commons.settings.ExecutorSettings in project dsbulk by datastax.

the class UnloadWorkflow method init.

@Override
public void init() throws Exception {
    settingsManager.init("UNLOAD", false, SchemaGenerationStrategy.READ_AND_MAP);
    executionId = settingsManager.getExecutionId();
    LogSettings logSettings = settingsManager.getLogSettings();
    DriverSettings driverSettings = settingsManager.getDriverSettings();
    ConnectorSettings connectorSettings = settingsManager.getConnectorSettings();
    SchemaSettings schemaSettings = settingsManager.getSchemaSettings();
    ExecutorSettings executorSettings = settingsManager.getExecutorSettings();
    CodecSettings codecSettings = settingsManager.getCodecSettings();
    MonitoringSettings monitoringSettings = settingsManager.getMonitoringSettings();
    EngineSettings engineSettings = settingsManager.getEngineSettings();
    engineSettings.init();
    // First verify that dry-run is off; that's unsupported for unload.
    if (engineSettings.isDryRun()) {
        throw new IllegalArgumentException("Dry-run is not supported for unload");
    }
    // No logs should be produced until the following statement returns
    logSettings.init();
    connectorSettings.init(false);
    connector = connectorSettings.getConnector();
    connector.init();
    driverSettings.init(false);
    logSettings.logEffectiveSettings(settingsManager.getEffectiveBulkLoaderConfig(), driverSettings.getDriverConfig());
    codecSettings.init();
    monitoringSettings.init();
    executorSettings.init();
    ConvertingCodecFactory codecFactory = codecSettings.createCodecFactory(schemaSettings.isAllowExtraFields(), schemaSettings.isAllowMissingFields());
    session = driverSettings.newSession(executionId, codecFactory.getCodecRegistry(), monitoringSettings.getRegistry());
    ClusterInformationUtils.printDebugInfoAboutCluster(session);
    schemaSettings.init(session, codecFactory, connector.supports(CommonConnectorFeature.INDEXED_RECORDS), connector.supports(CommonConnectorFeature.MAPPED_RECORDS));
    logManager = logSettings.newLogManager(session, false);
    logManager.init();
    metricsManager = monitoringSettings.newMetricsManager(false, false, logManager.getOperationDirectory(), logSettings.getVerbosity(), session.getContext().getProtocolVersion(), session.getContext().getCodecRegistry(), schemaSettings.getRowType());
    metricsManager.init();
    RecordMetadata recordMetadata = connector.getRecordMetadata();
    readResultMapper = schemaSettings.createReadResultMapper(session, recordMetadata, codecFactory, logSettings.isSources());
    readStatements = schemaSettings.createReadStatements(session);
    executor = executorSettings.newReadExecutor(session, metricsManager.getExecutionListener(), schemaSettings.isSearchQuery());
    closed.set(false);
    writer = connector.write();
    totalItemsMonitor = metricsManager.newTotalItemsMonitor();
    failedRecordsMonitor = metricsManager.newFailedItemsMonitor();
    failedReadResultsMonitor = metricsManager.newFailedItemsMonitor();
    failedRecordsHandler = logManager.newFailedRecordsHandler();
    totalItemsCounter = logManager.newTotalItemsCounter();
    failedReadsHandler = logManager.newFailedReadsHandler();
    queryWarningsHandler = logManager.newQueryWarningsHandler();
    unmappableRecordsHandler = logManager.newUnmappableRecordsHandler();
    terminationHandler = logManager.newTerminationHandler();
    numCores = Runtime.getRuntime().availableProcessors();
    if (connector.writeConcurrency() < 1) {
        throw new IllegalArgumentException("Invalid write concurrency: " + connector.writeConcurrency());
    }
    writeConcurrency = connector.writeConcurrency();
    LOGGER.debug("Using write concurrency: {}", writeConcurrency);
    readConcurrency = Math.min(readStatements.size(), // a good readConcurrency is then numCores.
    engineSettings.getMaxConcurrentQueries().orElse(numCores));
    LOGGER.debug("Using read concurrency: {} (user-supplied: {})", readConcurrency, engineSettings.getMaxConcurrentQueries().isPresent());
    schedulers = new HashSet<>();
}

Example 3 with ExecutorSettings

use of com.datastax.oss.dsbulk.workflow.commons.settings.ExecutorSettings in project dsbulk by datastax.

the class CountWorkflow method init.

@Override
public void init() throws Exception {
    settingsManager.init("COUNT", false, SchemaGenerationStrategy.READ_AND_COUNT);
    executionId = settingsManager.getExecutionId();
    LogSettings logSettings = settingsManager.getLogSettings();
    DriverSettings driverSettings = settingsManager.getDriverSettings();
    SchemaSettings schemaSettings = settingsManager.getSchemaSettings();
    ExecutorSettings executorSettings = settingsManager.getExecutorSettings();
    CodecSettings codecSettings = settingsManager.getCodecSettings();
    MonitoringSettings monitoringSettings = settingsManager.getMonitoringSettings();
    EngineSettings engineSettings = settingsManager.getEngineSettings();
    StatsSettings statsSettings = settingsManager.getStatsSettings();
    engineSettings.init();
    // First verify that dry-run is off; that's unsupported for count.
    if (engineSettings.isDryRun()) {
        throw new IllegalArgumentException("Dry-run is not supported for count");
    }
    logSettings.init();
    driverSettings.init(false);
    logSettings.logEffectiveSettings(settingsManager.getEffectiveBulkLoaderConfig(), driverSettings.getDriverConfig());
    codecSettings.init();
    monitoringSettings.init();
    executorSettings.init();
    statsSettings.init();
    ConvertingCodecFactory codecFactory = codecSettings.createCodecFactory(schemaSettings.isAllowExtraFields(), schemaSettings.isAllowMissingFields());
    session = driverSettings.newSession(executionId, codecFactory.getCodecRegistry(), monitoringSettings.getRegistry());
    ClusterInformationUtils.printDebugInfoAboutCluster(session);
    schemaSettings.init(session, codecFactory, false, false);
    logManager = logSettings.newLogManager(session, false);
    logManager.init();
    metricsManager = monitoringSettings.newMetricsManager(false, false, logManager.getOperationDirectory(), logSettings.getVerbosity(), session.getContext().getProtocolVersion(), session.getContext().getCodecRegistry(), schemaSettings.getRowType());
    metricsManager.init();
    executor = executorSettings.newReadExecutor(session, metricsManager.getExecutionListener(), false);
    EnumSet<StatsSettings.StatisticsMode> modes = statsSettings.getStatisticsModes();
    int numPartitions = statsSettings.getNumPartitions();
    readResultCounter = schemaSettings.createReadResultCounter(session, codecFactory, modes, numPartitions);
    readStatements = schemaSettings.createReadStatements(session);
    closed.set(false);
    success = false;
    totalItemsMonitor = metricsManager.newTotalItemsMonitor();
    failedItemsMonitor = metricsManager.newFailedItemsMonitor();
    totalItemsCounter = logManager.newTotalItemsCounter();
    failedReadsHandler = logManager.newFailedReadsHandler();
    queryWarningsHandler = logManager.newQueryWarningsHandler();
    terminationHandler = logManager.newTerminationHandler();
    int numCores = Runtime.getRuntime().availableProcessors();
    readConcurrency = Math.min(readStatements.size(), engineSettings.getMaxConcurrentQueries().orElse(numCores));
    LOGGER.debug("Using read concurrency: {} (user-supplied: {})", readConcurrency, engineSettings.getMaxConcurrentQueries().isPresent());
    int numThreads = Math.min(readConcurrency, numCores);
    scheduler = Schedulers.newParallel(numThreads, new DefaultThreadFactory("workflow"));
}