JoinWithDistributionTest.java example

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 * to you under the Apache License, Version 2.0 (the
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 *     http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.flink.optimizer.operators;

import org.apache.flink.api.common.Plan;
import org.apache.flink.api.common.functions.JoinFunction;
import org.apache.flink.api.java.DataSet;
import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.api.java.io.DiscardingOutputFormat;
import org.apache.flink.api.java.tuple.Tuple3;
import org.apache.flink.api.java.utils.DataSetUtils;
import org.apache.flink.optimizer.plan.*;
import org.apache.flink.optimizer.util.CompilerTestBase;
import org.apache.flink.runtime.operators.shipping.ShipStrategyType;
import org.junit.Test;

import static org.junit.Assert.assertEquals;

public class JoinWithDistributionTest extends CompilerTestBase {

	@Test
	public void JoinWithSameDistributionTest() throws Exception {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		DataSet<Tuple3<Integer, Integer, Integer>> set1 = env.readCsvFile(IN_FILE).types(Integer.class, Integer.class, Integer.class);
		DataSet<Tuple3<Integer, Integer, Integer>> set2 = env.readCsvFile(IN_FILE).types(Integer.class, Integer.class, Integer.class);

		TestDistribution dist1 = new TestDistribution(3);
		TestDistribution dist2 = new TestDistribution(3);

		DataSet<Tuple3<Integer, Integer, Integer>> coGrouped = DataSetUtils.partitionByRange(set1, dist1, 0)
				.join(DataSetUtils.partitionByRange(set2, dist2, 0))
				.where(0).equalTo(0).with(new JoinFunc());

		coGrouped.output(new DiscardingOutputFormat<Tuple3<Integer, Integer, Integer>>());
		Plan plan = env.createProgramPlan();
		OptimizedPlan oPlan = compileWithStats(plan);

		SinkPlanNode sink = oPlan.getDataSinks().iterator().next();
		DualInputPlanNode join = (DualInputPlanNode)sink.getInput().getSource();
		Channel input1 = join.getInput1();
		Channel input2 = join.getInput2();
		assertEquals(ShipStrategyType.FORWARD, input1.getShipStrategy());
		assertEquals(ShipStrategyType.FORWARD, input2.getShipStrategy());

	}

	@Test
	public void JoinWithDifferentDistributionTest() throws Exception{
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		DataSet<Tuple3<Integer, Integer, Integer>> set1 = env.readCsvFile(IN_FILE).types(Integer.class, Integer.class, Integer.class);
		DataSet<Tuple3<Integer, Integer, Integer>> set2 = env.readCsvFile(IN_FILE).types(Integer.class, Integer.class, Integer.class);

		TestDistribution dist1 = new TestDistribution(3);
		TestDistribution dist2 = new TestDistribution(4);

		DataSet<Tuple3<Integer, Integer, Integer>> coGrouped = DataSetUtils.partitionByRange(set1, dist1, 0)
				.join(DataSetUtils.partitionByRange(set2, dist2, 0))
				.where(0).equalTo(0).with(new JoinFunc());

		coGrouped.output(new DiscardingOutputFormat<Tuple3<Integer, Integer, Integer>>());
		Plan plan = env.createProgramPlan();
		OptimizedPlan oPlan = compileWithStats(plan);

		SinkPlanNode sink = oPlan.getDataSinks().iterator().next();
		DualInputPlanNode join = (DualInputPlanNode)sink.getInput().getSource();
		Channel input1 = join.getInput1();
		Channel input2 = join.getInput2();
		assertEquals(ShipStrategyType.PARTITION_HASH, input1.getShipStrategy());
		assertEquals(ShipStrategyType.PARTITION_HASH, input2.getShipStrategy());

	}

	public static class JoinFunc implements JoinFunction<Tuple3<Integer, Integer, Integer>,
			Tuple3<Integer, Integer, Integer>, Tuple3<Integer, Integer, Integer>> {

		@Override
		public Tuple3<Integer, Integer, Integer> join(Tuple3<Integer, Integer, Integer> first, Tuple3<Integer, Integer, Integer> second) throws Exception {
			return null;
		}
	}
}