Java tutorial
/* * Copyright 2016 Cask Data, Inc. * * Licensed under the Apache License, Version 2.0 (the "License"); you may not * use this file except in compliance with the License. You may obtain a copy of * the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the * License for the specific language governing permissions and limitations under * the License. */ package co.cask.cdap.datastreams; import co.cask.cdap.api.app.AbstractApplication; import co.cask.cdap.api.dataset.lib.FileSet; import co.cask.cdap.etl.api.batch.BatchSink; import co.cask.cdap.etl.api.streaming.StreamingSource; import co.cask.cdap.etl.proto.v2.DataStreamsConfig; import co.cask.cdap.etl.spec.PipelineSpecGenerator; import com.google.common.collect.ImmutableSet; /** * Data Streams Application. */ public class DataStreamsApp extends AbstractApplication<DataStreamsConfig> { public static final String CHECKPOINT_FILESET = "dataStreamsCheckpoints"; @Override public void configure() { DataStreamsConfig config = getConfig(); setDescription("Data Streams Application"); PipelineSpecGenerator<DataStreamsConfig, DataStreamsPipelineSpec> specGenerator = new DataStreamsPipelineSpecGenerator( getConfigurer(), ImmutableSet.of(StreamingSource.PLUGIN_TYPE), ImmutableSet.of(BatchSink.PLUGIN_TYPE)); DataStreamsPipelineSpec spec = specGenerator.generateSpec(config); addSpark(new DataStreamsSparkLauncher(spec, config)); if (!config.checkpointsDisabled()) { createDataset(CHECKPOINT_FILESET, FileSet.class); } } }