use of co.cask.cdap.etl.spark.batch.ETLSpark in project cdap by caskdata.
the class SmartWorkflow method addProgram.
private void addProgram(String phaseName, WorkflowProgramAdder programAdder) {
PipelinePhase phase = plan.getPhase(phaseName);
// artificially added by the control dag flattening process. So nothing to add, skip it
if (phase == null) {
return;
}
// can't use phase name as a program name because it might contain invalid characters
String programName = "phase-" + phaseNum;
phaseNum++;
// if this phase uses connectors, add the local dataset for that connector if we haven't already
for (StageInfo connectorInfo : phase.getStagesOfType(Constants.CONNECTOR_TYPE)) {
String connectorName = connectorInfo.getName();
String datasetName = connectorDatasets.get(connectorName);
if (datasetName == null) {
datasetName = "conn-" + connectorNum++;
connectorDatasets.put(connectorName, datasetName);
// add the local dataset
ConnectorSource connectorSource = new ConnectorSource(datasetName, null);
connectorSource.configure(getConfigurer());
}
}
Map<String, String> phaseConnectorDatasets = new HashMap<>();
for (StageInfo connectorStage : phase.getStagesOfType(Constants.CONNECTOR_TYPE)) {
phaseConnectorDatasets.put(connectorStage.getName(), connectorDatasets.get(connectorStage.getName()));
}
BatchPhaseSpec batchPhaseSpec = new BatchPhaseSpec(programName, phase, spec.getResources(), spec.getDriverResources(), spec.getClientResources(), spec.isStageLoggingEnabled(), spec.isProcessTimingEnabled(), phaseConnectorDatasets, spec.getNumOfRecordsPreview(), spec.getProperties());
Set<String> pluginTypes = batchPhaseSpec.getPhase().getPluginTypes();
if (pluginTypes.contains(Action.PLUGIN_TYPE)) {
// actions will be all by themselves in a phase
programAdder.addAction(new PipelineAction(batchPhaseSpec));
} else if (pluginTypes.contains(Constants.SPARK_PROGRAM_PLUGIN_TYPE)) {
// spark programs will be all by themselves in a phase
String stageName = phase.getStagesOfType(Constants.SPARK_PROGRAM_PLUGIN_TYPE).iterator().next().getName();
StageSpec stageSpec = stageSpecs.get(stageName);
applicationConfigurer.addSpark(new ExternalSparkProgram(batchPhaseSpec, stageSpec));
programAdder.addSpark(programName);
} else if (useSpark) {
applicationConfigurer.addSpark(new ETLSpark(batchPhaseSpec));
programAdder.addSpark(programName);
} else {
applicationConfigurer.addMapReduce(new ETLMapReduce(batchPhaseSpec));
programAdder.addMapReduce(programName);
}
}
use of co.cask.cdap.etl.spark.batch.ETLSpark in project cdap by caskdata.
the class ETLBatchApplication method configure.
@Override
public void configure() {
ETLBatchConfig config = getConfig().convertOldConfig();
setDescription(DEFAULT_DESCRIPTION);
PipelineSpecGenerator<ETLBatchConfig, BatchPipelineSpec> specGenerator = new BatchPipelineSpecGenerator(getConfigurer(), ImmutableSet.of(BatchSource.PLUGIN_TYPE), ImmutableSet.of(BatchSink.PLUGIN_TYPE), TimePartitionedFileSet.class, FileSetProperties.builder().setInputFormat(AvroKeyInputFormat.class).setOutputFormat(AvroKeyOutputFormat.class).setEnableExploreOnCreate(true).setSerDe("org.apache.hadoop.hive.serde2.avro.AvroSerDe").setExploreInputFormat("org.apache.hadoop.hive.ql.io.avro.AvroContainerInputFormat").setExploreOutputFormat("org.apache.hadoop.hive.ql.io.avro.AvroContainerOutputFormat").setTableProperty("avro.schema.literal", Constants.ERROR_SCHEMA.toString()).build(), config.getEngine());
BatchPipelineSpec spec = specGenerator.generateSpec(config);
int sourceCount = 0;
for (StageSpec stageSpec : spec.getStages()) {
if (BatchSource.PLUGIN_TYPE.equals(stageSpec.getPlugin().getType())) {
sourceCount++;
}
}
if (sourceCount != 1) {
throw new IllegalArgumentException("Invalid pipeline. There must only be one source.");
}
PipelinePlanner planner = new PipelinePlanner(SUPPORTED_PLUGIN_TYPES, ImmutableSet.<String>of(), ImmutableSet.<String>of(), ImmutableSet.<String>of());
PipelinePlan plan = planner.plan(spec);
if (plan.getPhases().size() != 1) {
// should never happen if there is only one source
throw new IllegalArgumentException("There was an error planning the pipeline. There should only be one phase.");
}
PipelinePhase pipeline = plan.getPhases().values().iterator().next();
switch(config.getEngine()) {
case MAPREDUCE:
BatchPhaseSpec batchPhaseSpec = new BatchPhaseSpec(ETLMapReduce.NAME, pipeline, config.getResources(), config.getDriverResources(), config.getClientResources(), config.isStageLoggingEnabled(), config.isProcessTimingEnabled(), new HashMap<String, String>(), config.getNumOfRecordsPreview(), config.getProperties());
addMapReduce(new ETLMapReduce(batchPhaseSpec));
break;
case SPARK:
batchPhaseSpec = new BatchPhaseSpec(ETLSpark.class.getSimpleName(), pipeline, config.getResources(), config.getDriverResources(), config.getClientResources(), config.isStageLoggingEnabled(), config.isProcessTimingEnabled(), new HashMap<String, String>(), config.getNumOfRecordsPreview(), config.getProperties());
addSpark(new ETLSpark(batchPhaseSpec));
break;
default:
throw new IllegalArgumentException(String.format("Invalid execution engine '%s'. Must be one of %s.", config.getEngine(), Joiner.on(',').join(Engine.values())));
}
addWorkflow(new ETLWorkflow(spec, config.getEngine()));
scheduleWorkflow(Schedules.builder(SCHEDULE_NAME).setDescription("ETL Batch schedule").createTimeSchedule(config.getSchedule()), ETLWorkflow.NAME);
}
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