Package org.apache.flink.compiler

Source Code of org.apache.flink.compiler.PartitionPushdownTest

/*
* Licensed to the Apache Software Foundation (ASF) under one
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* distributed with this work for additional information
* regarding copyright ownership.  The ASF licenses this file
* 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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*/

package org.apache.flink.compiler;

import static org.junit.Assert.*;

import org.apache.flink.api.common.Plan;
import org.apache.flink.api.common.operators.util.FieldList;
import org.apache.flink.api.java.DataSet;
import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.api.java.tuple.Tuple3;
import org.apache.flink.compiler.plan.OptimizedPlan;
import org.apache.flink.compiler.plan.SingleInputPlanNode;
import org.apache.flink.compiler.plan.SinkPlanNode;
import org.apache.flink.runtime.operators.shipping.ShipStrategyType;
import org.junit.Test;

@SuppressWarnings("serial")
public class PartitionPushdownTest extends CompilerTestBase {

  @Test
  public void testPartitioningNotPushedDown() {
    try {
      ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
     
      @SuppressWarnings("unchecked")
      DataSet<Tuple3<Long, Long, Long>> input = env.fromElements(new Tuple3<Long, Long, Long>(0L, 0L, 0L));
     
      input
        .groupBy(0, 1).sum(2)
        .groupBy(0).sum(1)
        .print();
     
      Plan p = env.createProgramPlan();
      OptimizedPlan op = compileNoStats(p);
     
      SinkPlanNode sink = op.getDataSinks().iterator().next();
     
      SingleInputPlanNode agg2Reducer = (SingleInputPlanNode) sink.getInput().getSource();
      SingleInputPlanNode agg2Combiner = (SingleInputPlanNode) agg2Reducer.getInput().getSource();
      SingleInputPlanNode agg1Reducer = (SingleInputPlanNode) agg2Combiner.getInput().getSource();
     
      assertEquals(ShipStrategyType.PARTITION_HASH, agg2Reducer.getInput().getShipStrategy());
      assertEquals(new FieldList(0), agg2Reducer.getInput().getShipStrategyKeys());
     
      assertEquals(ShipStrategyType.FORWARD, agg2Combiner.getInput().getShipStrategy());
     
      assertEquals(ShipStrategyType.PARTITION_HASH, agg1Reducer.getInput().getShipStrategy());
      assertEquals(new FieldList(0, 1), agg1Reducer.getInput().getShipStrategyKeys());
    }
    catch (Exception e) {
      e.printStackTrace();
      fail(e.getMessage());
    }
  }
 
  @Test
  public void testPartitioningReused() {
    try {
      ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
     
      @SuppressWarnings("unchecked")
      DataSet<Tuple3<Long, Long, Long>> input = env.fromElements(new Tuple3<Long, Long, Long>(0L, 0L, 0L));
     
      input
        .groupBy(0).sum(1)
        .groupBy(0, 1).sum(2)
        .print();
     
      Plan p = env.createProgramPlan();
      OptimizedPlan op = compileNoStats(p);
     
      SinkPlanNode sink = op.getDataSinks().iterator().next();
     
      SingleInputPlanNode agg2Reducer = (SingleInputPlanNode) sink.getInput().getSource();
      SingleInputPlanNode agg1Reducer = (SingleInputPlanNode) agg2Reducer.getInput().getSource();
     
      assertEquals(ShipStrategyType.FORWARD, agg2Reducer.getInput().getShipStrategy());
     
      assertEquals(ShipStrategyType.PARTITION_HASH, agg1Reducer.getInput().getShipStrategy());
      assertEquals(new FieldList(0), agg1Reducer.getInput().getShipStrategyKeys());
    }
    catch (Exception e) {
      e.printStackTrace();
      fail(e.getMessage());
    }
  }
}
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