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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* 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,
* 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 org.apache.flink.optimizer;
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.io.DiscardingOutputFormat;
import org.apache.flink.api.java.tuple.Tuple3;
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.util.CompilerTestBase;
import org.apache.flink.runtime.operators.shipping.ShipStrategyType;
import org.junit.Test;
import static org.junit.Assert.*;
@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)
.output(new DiscardingOutputFormat<Tuple3<Long, Long, Long>>());
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)
.output(new DiscardingOutputFormat<Tuple3<Long, Long, Long>>());
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());
}
}
}