Examples with OperatorResolver org.apache.flink.optimizer.util.OperatorResolver used on opensource projects

Example 1 with OperatorResolver

use of org.apache.flink.optimizer.util.OperatorResolver in project flink by apache.

the class RelationalQueryCompilerTest method testQueryGeneric.

private void testQueryGeneric(Plan p, long orderSize, long lineitemSize, float orderSelectivity, float joinSelectivity, boolean broadcastOkay, boolean partitionedOkay, boolean hashJoinFirstOkay, boolean hashJoinSecondOkay, boolean mergeJoinOkay) {
    try {
        // set statistics
        OperatorResolver cr = getContractResolver(p);
        GenericDataSourceBase<?, ?> ordersSource = cr.getNode(ORDERS);
        GenericDataSourceBase<?, ?> lineItemSource = cr.getNode(LINEITEM);
        SingleInputOperator<?, ?, ?> mapper = cr.getNode(MAPPER_NAME);
        DualInputOperator<?, ?, ?, ?> joiner = cr.getNode(JOIN_NAME);
        setSourceStatistics(ordersSource, orderSize, 100f);
        setSourceStatistics(lineItemSource, lineitemSize, 140f);
        mapper.getCompilerHints().setAvgOutputRecordSize(16f);
        mapper.getCompilerHints().setFilterFactor(orderSelectivity);
        joiner.getCompilerHints().setFilterFactor(joinSelectivity);
        // compile
        final OptimizedPlan plan = compileWithStats(p);
        final OptimizerPlanNodeResolver or = getOptimizerPlanNodeResolver(plan);
        // get the nodes from the final plan
        final SinkPlanNode sink = or.getNode(SINK);
        final SingleInputPlanNode reducer = or.getNode(REDUCE_NAME);
        final SingleInputPlanNode combiner = reducer.getPredecessor() instanceof SingleInputPlanNode ? (SingleInputPlanNode) reducer.getPredecessor() : null;
        final DualInputPlanNode join = or.getNode(JOIN_NAME);
        final SingleInputPlanNode filteringMapper = or.getNode(MAPPER_NAME);
        checkStandardStrategies(filteringMapper, join, combiner, reducer, sink);
        // check the possible variants and that the variant ia allowed in this specific setting
        if (checkBroadcastShipStrategies(join, reducer, combiner)) {
            Assert.assertTrue("Broadcast join incorrectly chosen.", broadcastOkay);
            if (checkHashJoinStrategies(join, reducer, true)) {
                Assert.assertTrue("Hash join (build orders) incorrectly chosen", hashJoinFirstOkay);
            } else if (checkHashJoinStrategies(join, reducer, false)) {
                Assert.assertTrue("Hash join (build lineitem) incorrectly chosen", hashJoinSecondOkay);
            } else if (checkBroadcastMergeJoin(join, reducer)) {
                Assert.assertTrue("Merge join incorrectly chosen", mergeJoinOkay);
            } else {
                Assert.fail("Plan has no correct hash join or merge join strategies.");
            }
        } else if (checkRepartitionShipStrategies(join, reducer, combiner)) {
            Assert.assertTrue("Partitioned join incorrectly chosen.", partitionedOkay);
            if (checkHashJoinStrategies(join, reducer, true)) {
                Assert.assertTrue("Hash join (build orders) incorrectly chosen", hashJoinFirstOkay);
            } else if (checkHashJoinStrategies(join, reducer, false)) {
                Assert.assertTrue("Hash join (build lineitem) incorrectly chosen", hashJoinSecondOkay);
            } else if (checkRepartitionMergeJoin(join, reducer)) {
                Assert.assertTrue("Merge join incorrectly chosen", mergeJoinOkay);
            } else {
                Assert.fail("Plan has no correct hash join or merge join strategies.");
            }
        } else {
            Assert.fail("Plan has neither correct BC join or partitioned join configuration.");
        }
    } catch (Exception e) {
        e.printStackTrace();
        Assert.fail(e.getMessage());
    }
}

Example 2 with OperatorResolver

use of org.apache.flink.optimizer.util.OperatorResolver in project flink by apache.

the class RelationalQueryCompilerTest method testQueryWithStatsForRepartitionMerge.

/**
 * Statistics that push towards a repartition merge join. If the join blows the data volume up
 * significantly, re-exploiting the sorted order is cheaper.
 */
@Test
public void testQueryWithStatsForRepartitionMerge() throws Exception {
    Plan p = getTPCH3Plan();
    p.setExecutionConfig(defaultExecutionConfig);
    // set compiler hints
    OperatorResolver cr = getContractResolver(p);
    DualInputOperator<?, ?, ?, ?> match = cr.getNode(JOIN_NAME);
    match.getCompilerHints().setFilterFactor(100f);
    testQueryGeneric(100L * 1024 * 1024 * 1024 * 1024, 100L * 1024 * 1024 * 1024 * 1024, 0.01f, 100f, false, true, false, false, true);
}

Example 3 with OperatorResolver

use of org.apache.flink.optimizer.util.OperatorResolver in project flink by apache.

the class KMeansSingleStepTest method testCompileKMeansSingleStepWithStats.

@Test
public void testCompileKMeansSingleStepWithStats() throws Exception {
    Plan p = getKMeansPlan();
    p.setExecutionConfig(new ExecutionConfig());
    // set the statistics
    OperatorResolver cr = getContractResolver(p);
    GenericDataSourceBase<?, ?> pointsSource = cr.getNode(DATAPOINTS);
    GenericDataSourceBase<?, ?> centersSource = cr.getNode(CENTERS);
    setSourceStatistics(pointsSource, 100L * 1024 * 1024 * 1024, 32f);
    setSourceStatistics(centersSource, 1024 * 1024, 32f);
    OptimizedPlan plan = compileWithStats(p);
    checkPlan(plan);
}