HanumathRao commented on a change in pull request #1677: DRILL-7068: Support memory adjustment framework for resource manageme… URL: https://github.com/apache/drill/pull/1677#discussion_r263651202
########## File path: exec/java-exec/src/main/java/org/apache/drill/exec/planner/fragment/QueueQueryParallelizer.java ########## @@ -0,0 +1,175 @@ +/* + * 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.drill.exec.planner.fragment; + +import org.apache.calcite.util.Pair; +import org.apache.drill.common.util.function.CheckedConsumer; +import org.apache.drill.exec.ops.QueryContext; +import org.apache.drill.exec.physical.PhysicalOperatorSetupException; +import org.apache.drill.exec.physical.base.PhysicalOperator; +import org.apache.drill.exec.planner.cost.NodeResource; +import org.apache.drill.exec.proto.CoordinationProtos.DrillbitEndpoint; +import org.apache.drill.exec.util.MemoryAllocationUtilities; + +import java.util.Map; +import java.util.HashMap; +import java.util.Collection; +import java.util.Set; +import java.util.List; +import java.util.ArrayList; +import java.util.function.BiFunction; +import java.util.stream.Collectors; + +/** + * Paralellizer specialized for managing resources for a query based on Queues. This parallelizer + * does not deal with increase/decrease of the parallelization of a query plan based on the current + * cluster state. However, the memory assignment for each operator, minor fragment and major + * fragment is based on the cluster state and provided queue configuration. + */ +public class QueueQueryParallelizer extends SimpleParallelizer { + private final boolean enableMemoryPlanning; + private final QueryContext queryContext; + private final Map<DrillbitEndpoint, Map<PhysicalOperator, Long>> operators; + + public QueueQueryParallelizer(boolean memoryPlanning, QueryContext queryContext) { + super(queryContext); + this.enableMemoryPlanning = memoryPlanning; + this.queryContext = queryContext; + this.operators = new HashMap<>(); + } + + // return the memory computed for a physical operator on a drillbitendpoint. + public BiFunction<DrillbitEndpoint, PhysicalOperator, Long> getMemory() { + return (endpoint, operator) -> { + if (enableMemoryPlanning) { + return operators.get(endpoint).get(operator); + } + else { + return operator.getMaxAllocation(); + } + }; + } + + /** + * Function called by the SimpleParallelizer to adjust the memory post parallelization. + * The overall logic is to traverse the fragment tree and call the MemoryCalculator on + * each major fragment. Once the memory is computed, resource requirement are accumulated + * per drillbit. + * + * The total resource requirements are used to select a queue. If the selected queue's + * resource limit is more/less than the query's requirement than the memory will be re-adjusted. + * + * @param planningSet context of the fragments. + * @param roots root fragments. + * @param activeEndpoints currently active endpoints. + * @throws PhysicalOperatorSetupException + */ + public void adjustMemory(PlanningSet planningSet, Set<Wrapper> roots, + Collection<DrillbitEndpoint> activeEndpoints) throws PhysicalOperatorSetupException { + + if (enableMemoryPlanning) { + List<PhysicalOperator> bufferedOpers = planningSet.getRootWrapper().getNode().getBufferedOperators(); + MemoryAllocationUtilities.setupBufferedOpsMemoryAllocations(enableMemoryPlanning, bufferedOpers, queryContext); + return; + } + // total node resources for the query plan maintained per drillbit. + final Map<DrillbitEndpoint, NodeResource> totalNodeResources = + activeEndpoints.stream().collect(Collectors.toMap(x ->x, + x -> NodeResource.create())); + + // list of the physical operators and their memory requirements per drillbit. + final Map<DrillbitEndpoint, List<Pair<PhysicalOperator, Long>>> operators = + activeEndpoints.stream().collect(Collectors.toMap(x -> x, + x -> new ArrayList<>())); + + for (Wrapper wrapper : roots) { + traverse(wrapper, CheckedConsumer.throwingConsumerWrapper((Wrapper fragment) -> { + MemoryCalculator calculator = new MemoryCalculator(planningSet, queryContext); + fragment.getNode().getRoot().accept(calculator, fragment); + NodeResource.merge(totalNodeResources, fragment.getResourceMap()); + operators.entrySet() + .stream() + .forEach((entry) -> entry.getValue() + .addAll(calculator.getBufferedOperators(entry.getKey()))); + })); + } + //queryrm.selectQueue( pass the max node Resource) returns queue configuration. + Map<DrillbitEndpoint, List<Pair<PhysicalOperator, Long>>> memoryAdjustedOperators = adjustMemoryForOperators(operators, totalNodeResources, 10); + memoryAdjustedOperators.entrySet().stream().forEach((x) -> { + Map<PhysicalOperator, Long> memoryPerOperator = x.getValue().stream() + .collect(Collectors.toMap(operatorLongPair -> operatorLongPair.left, + operatorLongPair -> operatorLongPair.right)); + this.operators.put(x.getKey(), memoryPerOperator); + }); + } + + + /** + * Helper method to adjust the memory for the buffered operators. + * @param memoryPerOperator list of physical operators per drillbit + * @param nodeResourceMap resources per drillbit. + * @param nodeLimit permissible node limit. + * @return list of operators which contain adjusted memory limits. + */ + private Map<DrillbitEndpoint, List<Pair<PhysicalOperator, Long>>> + adjustMemoryForOperators(Map<DrillbitEndpoint, List<Pair<PhysicalOperator, Long>>> memoryPerOperator, + Map<DrillbitEndpoint, NodeResource> nodeResourceMap, int nodeLimit) { + // Get the physical operators which are above the node memory limit. + Map<DrillbitEndpoint, List<Pair<PhysicalOperator, Long>>> onlyMemoryAboveLimitOperators = new HashMap<>(); + memoryPerOperator.entrySet().stream().forEach((entry) -> { + onlyMemoryAboveLimitOperators.putIfAbsent(entry.getKey(), new ArrayList<>()); + if (nodeResourceMap.get(entry.getKey()).getMemory() > nodeLimit) { + onlyMemoryAboveLimitOperators.get(entry.getKey()).addAll(entry.getValue()); + } + }); + + + // Compute the total memory required by the physical operators on the drillbits which are above node limit. + // Then use the total memory to adjust the memory requirement based on the permissible node limit. + Map<DrillbitEndpoint, List<Pair<PhysicalOperator, Long>>> memoryAdjustedDrillbits = new HashMap<>(); + onlyMemoryAboveLimitOperators.entrySet().stream().forEach( + entry -> { + Long totalMemory = entry.getValue().stream().map(operatorMemory -> operatorMemory.getValue()).reduce(0L, (x,y) -> x+ y); + List<Pair<PhysicalOperator, Long>> adjustedMemory = entry.getValue().stream().map(operatorMemory -> { + // formula to adjust the memory is (optimalMemory / totalMemory(this is for all the operators)) * permissible_node_limit. + return Pair.of(operatorMemory.getKey(), (long) Math.ceil(operatorMemory.getValue()/totalMemory * nodeLimit)); + }).collect(Collectors.toList()); + memoryAdjustedDrillbits.put(entry.getKey(), adjustedMemory); + } + ); + + // Get all the operations on drillbits which were adjusted for memory and merge them with operators which are not + // adjusted for memory. + Map<DrillbitEndpoint, List<Pair<PhysicalOperator, Long>>> allDrillbits = new HashMap<>(); Review comment: Yes, I agree that function name is kind of misleading. I will change the name to reflect the same. It was not my intention to change the passed on parameter. I think this function might further change during the course of Resource management changes. I will keep in mind about the comments. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
