GroupingTupleTranslationTest.java example

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 * Licensed to the Apache Software Foundation (ASF) under one
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 * distributed with this work for additional information
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 * to you 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,
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 * See the License for the specific language governing permissions and
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package org.apache.flink.optimizer.custompartition;

import static org.junit.Assert.*;

import org.apache.flink.api.common.InvalidProgramException;
import org.apache.flink.api.common.Plan;
import org.apache.flink.api.common.functions.Partitioner;
import org.apache.flink.api.common.operators.Order;
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.Tuple2;
import org.apache.flink.api.java.tuple.Tuple3;
import org.apache.flink.api.java.tuple.Tuple4;
import org.apache.flink.optimizer.plan.OptimizedPlan;
import org.apache.flink.optimizer.plan.SingleInputPlanNode;
import org.apache.flink.optimizer.plan.SinkPlanNode;
import org.apache.flink.optimizer.testfunctions.DummyReducer;
import org.apache.flink.optimizer.testfunctions.IdentityGroupReducerCombinable;
import org.apache.flink.optimizer.util.CompilerTestBase;
import org.apache.flink.runtime.operators.shipping.ShipStrategyType;
import org.junit.Test;

@SuppressWarnings({"serial", "unchecked"})
public class GroupingTupleTranslationTest extends CompilerTestBase {
	
	@Test
	public void testCustomPartitioningTupleAgg() {
		try {
			ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
			
			DataSet<Tuple2<Integer, Integer>> data = env.fromElements(new Tuple2<Integer, Integer>(0, 0))
					.rebalance().setParallelism(4);
			
			data.groupBy(0).withPartitioner(new TestPartitionerInt())
				.sum(1)
				.output(new DiscardingOutputFormat<Tuple2<Integer, Integer>>());
			
			Plan p = env.createProgramPlan();
			OptimizedPlan op = compileNoStats(p);
			
			SinkPlanNode sink = op.getDataSinks().iterator().next();
			SingleInputPlanNode reducer = (SingleInputPlanNode) sink.getInput().getSource();
			SingleInputPlanNode combiner = (SingleInputPlanNode) reducer.getInput().getSource();
			
			assertEquals(ShipStrategyType.FORWARD, sink.getInput().getShipStrategy());
			assertEquals(ShipStrategyType.PARTITION_CUSTOM, reducer.getInput().getShipStrategy());
			assertEquals(ShipStrategyType.FORWARD, combiner.getInput().getShipStrategy());
		}
		catch (Exception e) {
			e.printStackTrace();
			fail(e.getMessage());
		}
	}
	
	@Test
	public void testCustomPartitioningTupleReduce() {
		try {
			ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
			
			DataSet<Tuple2<Integer, Integer>> data = env.fromElements(new Tuple2<Integer, Integer>(0, 0))
					.rebalance().setParallelism(4);
			
			data.groupBy(0).withPartitioner(new TestPartitionerInt())
				.reduce(new DummyReducer<Tuple2<Integer,Integer>>())
				.output(new DiscardingOutputFormat<Tuple2<Integer, Integer>>());
			
			Plan p = env.createProgramPlan();
			OptimizedPlan op = compileNoStats(p);
			
			SinkPlanNode sink = op.getDataSinks().iterator().next();
			SingleInputPlanNode reducer = (SingleInputPlanNode) sink.getInput().getSource();
			SingleInputPlanNode combiner = (SingleInputPlanNode) reducer.getInput().getSource();
			
			assertEquals(ShipStrategyType.FORWARD, sink.getInput().getShipStrategy());
			assertEquals(ShipStrategyType.PARTITION_CUSTOM, reducer.getInput().getShipStrategy());
			assertEquals(ShipStrategyType.FORWARD, combiner.getInput().getShipStrategy());
		}
		catch (Exception e) {
			e.printStackTrace();
			fail(e.getMessage());
		}
	}
	
	@Test
	public void testCustomPartitioningTupleGroupReduce() {
		try {
			ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
			
			DataSet<Tuple2<Integer, Integer>> data = env.fromElements(new Tuple2<Integer, Integer>(0, 0))
					.rebalance().setParallelism(4);
			
			data.groupBy(0).withPartitioner(new TestPartitionerInt())
				.reduceGroup(new IdentityGroupReducerCombinable<Tuple2<Integer,Integer>>())
				.output(new DiscardingOutputFormat<Tuple2<Integer, Integer>>());
			
			Plan p = env.createProgramPlan();
			OptimizedPlan op = compileNoStats(p);
			
			SinkPlanNode sink = op.getDataSinks().iterator().next();
			SingleInputPlanNode reducer = (SingleInputPlanNode) sink.getInput().getSource();
			SingleInputPlanNode combiner = (SingleInputPlanNode) reducer.getInput().getSource();
			
			assertEquals(ShipStrategyType.FORWARD, sink.getInput().getShipStrategy());
			assertEquals(ShipStrategyType.PARTITION_CUSTOM, reducer.getInput().getShipStrategy());
			assertEquals(ShipStrategyType.FORWARD, combiner.getInput().getShipStrategy());
		}
		catch (Exception e) {
			e.printStackTrace();
			fail(e.getMessage());
		}
	}
	
	@Test
	public void testCustomPartitioningTupleGroupReduceSorted() {
		try {
			ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
			
			DataSet<Tuple3<Integer, Integer, Integer>> data = env.fromElements(new Tuple3<Integer, Integer, Integer>(0, 0, 0))
					.rebalance().setParallelism(4);
			
			data.groupBy(0).withPartitioner(new TestPartitionerInt())
				.sortGroup(1, Order.ASCENDING)
				.reduceGroup(new IdentityGroupReducerCombinable<Tuple3<Integer,Integer,Integer>>())
				.output(new DiscardingOutputFormat<Tuple3<Integer, Integer, Integer>>());
			
			Plan p = env.createProgramPlan();
			OptimizedPlan op = compileNoStats(p);
			
			SinkPlanNode sink = op.getDataSinks().iterator().next();
			SingleInputPlanNode reducer = (SingleInputPlanNode) sink.getInput().getSource();
			SingleInputPlanNode combiner = (SingleInputPlanNode) reducer.getInput().getSource();
			
			assertEquals(ShipStrategyType.FORWARD, sink.getInput().getShipStrategy());
			assertEquals(ShipStrategyType.PARTITION_CUSTOM, reducer.getInput().getShipStrategy());
			assertEquals(ShipStrategyType.FORWARD, combiner.getInput().getShipStrategy());
		}
		catch (Exception e) {
			e.printStackTrace();
			fail(e.getMessage());
		}
	}
	
	@Test
	public void testCustomPartitioningTupleGroupReduceSorted2() {
		try {
			ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
			
			DataSet<Tuple4<Integer,Integer,Integer, Integer>> data = env.fromElements(new Tuple4<Integer,Integer,Integer,Integer>(0, 0, 0, 0))
					.rebalance().setParallelism(4);
			
			data.groupBy(0).withPartitioner(new TestPartitionerInt())
				.sortGroup(1, Order.ASCENDING)
				.sortGroup(2, Order.DESCENDING)
				.reduceGroup(new IdentityGroupReducerCombinable<Tuple4<Integer,Integer,Integer,Integer>>())
				.output(new DiscardingOutputFormat<Tuple4<Integer, Integer, Integer, Integer>>());
			
			Plan p = env.createProgramPlan();
			OptimizedPlan op = compileNoStats(p);
			
			SinkPlanNode sink = op.getDataSinks().iterator().next();
			SingleInputPlanNode reducer = (SingleInputPlanNode) sink.getInput().getSource();
			SingleInputPlanNode combiner = (SingleInputPlanNode) reducer.getInput().getSource();
			
			assertEquals(ShipStrategyType.FORWARD, sink.getInput().getShipStrategy());
			assertEquals(ShipStrategyType.PARTITION_CUSTOM, reducer.getInput().getShipStrategy());
			assertEquals(ShipStrategyType.FORWARD, combiner.getInput().getShipStrategy());
		}
		catch (Exception e) {
			e.printStackTrace();
			fail(e.getMessage());
		}
	}
	
	@Test
	public void testCustomPartitioningTupleInvalidType() {
		try {
			ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
			
			DataSet<Tuple2<Integer, Integer>> data = env.fromElements(new Tuple2<Integer, Integer>(0, 0))
					.rebalance().setParallelism(4);
			
			try {
				data.groupBy(0).withPartitioner(new TestPartitionerLong());
				fail("Should throw an exception");
			}
			catch (InvalidProgramException e) {}
		}
		catch (Exception e) {
			e.printStackTrace();
			fail(e.getMessage());
		}
	}
	
	@Test
	public void testCustomPartitioningTupleInvalidTypeSorted() {
		try {
			ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
			
			DataSet<Tuple3<Integer, Integer, Integer>> data = env.fromElements(new Tuple3<Integer, Integer, Integer>(0, 0, 0))
					.rebalance().setParallelism(4);
			
			try {
				data.groupBy(0)
					.sortGroup(1, Order.ASCENDING)
					.withPartitioner(new TestPartitionerLong());
				fail("Should throw an exception");
			}
			catch (InvalidProgramException e) {}
		}
		catch (Exception e) {
			e.printStackTrace();
			fail(e.getMessage());
		}
	}
	
	@Test
	public void testCustomPartitioningTupleRejectCompositeKey() {
		try {
			ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
			
			DataSet<Tuple3<Integer, Integer, Integer>> data = env.fromElements(new Tuple3<Integer, Integer, Integer>(0, 0, 0))
					.rebalance().setParallelism(4);
			
			try {
				data.groupBy(0, 1)
					.withPartitioner(new TestPartitionerInt());
				fail("Should throw an exception");
			}
			catch (InvalidProgramException e) {}
		}
		catch (Exception e) {
			e.printStackTrace();
			fail(e.getMessage());
		}
	}
	
	// --------------------------------------------------------------------------------------------
	
	private static class TestPartitionerInt implements Partitioner<Integer> {
		@Override
		public int partition(Integer key, int numPartitions) {
			return 0;
		}
	}
	
	private static class TestPartitionerLong implements Partitioner<Long> {
		@Override
		public int partition(Long key, int numPartitions) {
			return 0;
		}
	}
}