org.apache.drill.exec.planner.fragment.DefaultQueryParallelizer Maven / Gradle / Ivy
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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
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package org.apache.drill.exec.planner.fragment;
import org.apache.drill.exec.ops.QueryContext;
import org.apache.drill.exec.physical.base.PhysicalOperator;
import org.apache.drill.exec.proto.CoordinationProtos.DrillbitEndpoint;
import org.apache.drill.exec.util.MemoryAllocationUtilities;
import java.util.Collection;
import java.util.List;
import java.util.Set;
import java.util.function.BiFunction;
/**
* Non RM version of the parallelizer. The parallelization logic is fully inherited from SimpleParallelizer.
* The memory computation of the operators is based on the earlier logic to assign memory for the buffered
* operators.
*/
public class DefaultQueryParallelizer extends SimpleParallelizer {
private final boolean planHasMemory;
private final QueryContext queryContext;
public DefaultQueryParallelizer(boolean memoryAvailableInPlan, QueryContext queryContext) {
super(queryContext);
this.planHasMemory = memoryAvailableInPlan;
this.queryContext = queryContext;
}
public DefaultQueryParallelizer(boolean memoryPlanning, long parallelizationThreshold, int maxWidthPerNode,
int maxGlobalWidth, double affinityFactor) {
super(parallelizationThreshold, maxWidthPerNode, maxGlobalWidth, affinityFactor);
this.planHasMemory = memoryPlanning;
this.queryContext = null;
}
@Override
public void adjustMemory(PlanningSet planningSet, Set roots,
Collection activeEndpoints) {
if (planHasMemory) {
return;
}
List bufferedOpers = planningSet.getRootWrapper().getNode().getBufferedOperators(queryContext);
MemoryAllocationUtilities.setupBufferedOpsMemoryAllocations(planHasMemory, bufferedOpers, queryContext);
}
@Override
protected BiFunction getMemory() {
return (endpoint, operator) -> operator.getMaxAllocation();
}
}
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