/* * Copyright © 2014 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.client.app; import co.cask.cdap.api.spark.AbstractSpark; import co.cask.cdap.api.spark.JavaSparkExecutionContext; import co.cask.cdap.api.spark.JavaSparkMain; import org.apache.spark.api.java.JavaSparkContext; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import java.util.Arrays; import java.util.List; /** * A Fake spark program to test CLI integration with Spark */ public class FakeSpark extends AbstractSpark implements JavaSparkMain { public static final String NAME = "FakeSparkProgram"; private static final Logger LOG = LoggerFactory.getLogger(FakeSpark.class); @Override public void configure() { setName(NAME); setDescription(""); setMainClass(FakeSpark.class); } @Override public void run(JavaSparkExecutionContext sec) throws Exception { JavaSparkContext jsc = new JavaSparkContext(); LOG.info("HelloFakeSpark"); List<Integer> data = Arrays.asList(1, 2, 3, 4, 5); LOG.info("Collected: {}", jsc.parallelize(data).collect()); } }