Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance. Project price only 1 $
You can buy this project and download/modify it how often you want.
/**
* 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.hadoop.hive.ql.parse;
import java.io.Serializable;
import java.util.HashMap;
import java.util.LinkedHashMap;
import java.util.LinkedHashSet;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.atomic.AtomicInteger;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.ql.exec.AppMasterEventOperator;
import org.apache.hadoop.hive.ql.exec.CommonMergeJoinOperator;
import org.apache.hadoop.hive.ql.exec.DependencyCollectionTask;
import org.apache.hadoop.hive.ql.exec.FileSinkOperator;
import org.apache.hadoop.hive.ql.exec.MapJoinOperator;
import org.apache.hadoop.hive.ql.exec.Operator;
import org.apache.hadoop.hive.ql.exec.ReduceSinkOperator;
import org.apache.hadoop.hive.ql.exec.TableScanOperator;
import org.apache.hadoop.hive.ql.exec.Task;
import org.apache.hadoop.hive.ql.exec.TaskFactory;
import org.apache.hadoop.hive.ql.exec.UnionOperator;
import org.apache.hadoop.hive.ql.exec.tez.TezTask;
import org.apache.hadoop.hive.ql.hooks.ReadEntity;
import org.apache.hadoop.hive.ql.hooks.WriteEntity;
import org.apache.hadoop.hive.ql.lib.NodeProcessorCtx;
import org.apache.hadoop.hive.ql.plan.BaseWork;
import org.apache.hadoop.hive.ql.plan.DependencyCollectionWork;
import org.apache.hadoop.hive.ql.plan.FileSinkDesc;
import org.apache.hadoop.hive.ql.plan.MergeJoinWork;
import org.apache.hadoop.hive.ql.plan.MoveWork;
import org.apache.hadoop.hive.ql.plan.OperatorDesc;
import org.apache.hadoop.hive.ql.plan.TezEdgeProperty;
import org.apache.hadoop.hive.ql.plan.TezWork;
import org.apache.hadoop.hive.ql.plan.UnionWork;
/**
* GenTezProcContext. GenTezProcContext maintains information
* about the tasks and operators as we walk the operator tree
* to break them into TezTasks.
*
*/
public class GenTezProcContext implements NodeProcessorCtx{
public final ParseContext parseContext;
public final HiveConf conf;
public final List> moveTask;
// rootTasks is the entry point for all generated tasks
public final List> rootTasks;
public final Set inputs;
public final Set outputs;
// holds the root of the operator tree we're currently processing
// this could be a table scan, but also a join, ptf, etc (i.e.:
// first operator of a reduce task.
public Operator currentRootOperator;
// this is the original parent of the currentRootOperator as we scan
// through the graph. A root operator might have multiple parents and
// we just use this one to remember where we came from in the current
// walk.
public Operator parentOfRoot;
// sequence number is used to name vertices (e.g.: Map 1, Reduce 14, ...)
private AtomicInteger sequenceNumber;
// tez task we're currently processing
public TezTask currentTask;
// last work we've processed (in order to hook it up to the current
// one.
public BaseWork preceedingWork;
// map that keeps track of the last operator of a task to the work
// that follows it. This is used for connecting them later.
public final Map, BaseWork> leafOperatorToFollowingWork;
// a map that keeps track of work that need to be linked while
// traversing an operator tree
public final Map, Map> linkOpWithWorkMap;
// a map to keep track of what reduce sinks have to be hooked up to
// map join work
public final Map> linkWorkWithReduceSinkMap;
// map that says which mapjoin belongs to which work item
public final Map> mapJoinWorkMap;
// Mapping of reducesink to mapjoin operators
// Only used for dynamic partitioned hash joins (mapjoin operator in the reducer)
public final Map, MapJoinOperator> smallTableParentToMapJoinMap;
// a map to keep track of which root generated which work
public final Map, BaseWork> rootToWorkMap;
// a map to keep track of which child generated with work
public final Map, List> childToWorkMap;
// we need to keep the original list of operators in the map join to know
// what position in the mapjoin the different parent work items will have.
public final Map>> mapJoinParentMap;
// remember the dummy ops we created
public final Map, List>> linkChildOpWithDummyOp;
// used to group dependent tasks for multi table inserts
public final DependencyCollectionTask dependencyTask;
// remember map joins as we encounter them.
public final Set currentMapJoinOperators;
// used to hook up unions
public final Map, BaseWork> unionWorkMap;
public final Map, UnionWork> rootUnionWorkMap;
public List currentUnionOperators;
public final Set workWithUnionOperators;
public final Set clonedReduceSinks;
// we link filesink that will write to the same final location
public final Map> linkedFileSinks;
public final Set fileSinkSet;
// remember which reducesinks we've already connected
public final Set connectedReduceSinks;
public final Map, MergeJoinWork> opMergeJoinWorkMap;
public CommonMergeJoinOperator currentMergeJoinOperator;
// remember the event operators we've seen
public final Set eventOperatorSet;
// remember the event operators we've abandoned.
public final Set abandonedEventOperatorSet;
// remember the connections between ts and event
public final Map> tsToEventMap;
// When processing dynamic partitioned hash joins, some of the small tables may not get processed
// before the mapjoin's parents are removed during GenTezWork.process(). This is to keep
// track of which small tables haven't been processed yet.
public Map> mapJoinToUnprocessedSmallTableReduceSinks;
@SuppressWarnings("unchecked")
public GenTezProcContext(HiveConf conf, ParseContext parseContext,
List> moveTask, List> rootTasks,
Set inputs, Set outputs) {
this.conf = conf;
this.parseContext = parseContext;
this.moveTask = moveTask;
this.rootTasks = rootTasks;
this.inputs = inputs;
this.outputs = outputs;
this.currentTask = (TezTask) TaskFactory.get(
new TezWork(conf.getVar(HiveConf.ConfVars.HIVEQUERYID), conf), conf);
this.leafOperatorToFollowingWork = new LinkedHashMap, BaseWork>();
this.linkOpWithWorkMap = new LinkedHashMap, Map>();
this.linkWorkWithReduceSinkMap = new LinkedHashMap>();
this.smallTableParentToMapJoinMap = new LinkedHashMap, MapJoinOperator>();
this.mapJoinWorkMap = new LinkedHashMap>();
this.rootToWorkMap = new LinkedHashMap, BaseWork>();
this.childToWorkMap = new LinkedHashMap, List>();
this.mapJoinParentMap = new LinkedHashMap>>();
this.currentMapJoinOperators = new LinkedHashSet();
this.linkChildOpWithDummyOp = new LinkedHashMap, List>>();
this.dependencyTask = (DependencyCollectionTask)
TaskFactory.get(new DependencyCollectionWork(), conf);
this.unionWorkMap = new LinkedHashMap, BaseWork>();
this.rootUnionWorkMap = new LinkedHashMap, UnionWork>();
this.currentUnionOperators = new LinkedList();
this.workWithUnionOperators = new LinkedHashSet();
this.clonedReduceSinks = new LinkedHashSet();
this.linkedFileSinks = new LinkedHashMap>();
this.fileSinkSet = new LinkedHashSet();
this.connectedReduceSinks = new LinkedHashSet();
this.eventOperatorSet = new LinkedHashSet();
this.abandonedEventOperatorSet = new LinkedHashSet();
this.tsToEventMap = new LinkedHashMap>();
this.opMergeJoinWorkMap = new LinkedHashMap, MergeJoinWork>();
this.currentMergeJoinOperator = null;
this.mapJoinToUnprocessedSmallTableReduceSinks = new HashMap>();
this.sequenceNumber = parseContext.getContext().getSequencer();
rootTasks.add(currentTask);
}
public int nextSequenceNumber() {
return sequenceNumber.incrementAndGet();
}
}
