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.flink.runtime.operators;
import org.apache.flink.api.common.ExecutionConfig;
import org.apache.flink.api.common.functions.FlatJoinFunction;
import org.apache.flink.api.common.typeutils.TypeComparator;
import org.apache.flink.api.common.typeutils.TypePairComparatorFactory;
import org.apache.flink.api.common.typeutils.TypeSerializer;
import org.apache.flink.configuration.AlgorithmOptions;
import org.apache.flink.metrics.Counter;
import org.apache.flink.runtime.io.disk.iomanager.IOManager;
import org.apache.flink.runtime.memory.MemoryManager;
import org.apache.flink.runtime.operators.hash.NonReusingBuildFirstHashJoinIterator;
import org.apache.flink.runtime.operators.hash.NonReusingBuildSecondHashJoinIterator;
import org.apache.flink.runtime.operators.hash.ReusingBuildFirstHashJoinIterator;
import org.apache.flink.runtime.operators.hash.ReusingBuildSecondHashJoinIterator;
import org.apache.flink.runtime.operators.sort.NonReusingMergeInnerJoinIterator;
import org.apache.flink.runtime.operators.sort.ReusingMergeInnerJoinIterator;
import org.apache.flink.runtime.operators.util.JoinTaskIterator;
import org.apache.flink.runtime.operators.util.TaskConfig;
import org.apache.flink.runtime.operators.util.metrics.CountingCollector;
import org.apache.flink.runtime.operators.util.metrics.CountingMutableObjectIterator;
import org.apache.flink.util.Collector;
import org.apache.flink.util.MutableObjectIterator;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* The join driver implements the logic of a join operator at runtime. It instantiates either
* hash or sort-merge based strategies to find joining pairs of records.
*
* @see org.apache.flink.api.common.functions.FlatJoinFunction
*/
public class JoinDriver implements Driver, OT> {
protected static final Logger LOG = LoggerFactory.getLogger(JoinDriver.class);
protected TaskContext, OT> taskContext;
private volatile JoinTaskIterator joinIterator; // the iterator that does the actual join
protected volatile boolean running;
// ------------------------------------------------------------------------
@Override
public void setup(TaskContext, OT> context) {
this.taskContext = context;
this.running = true;
}
@Override
public int getNumberOfInputs() {
return 2;
}
@Override
public Class> getStubType() {
@SuppressWarnings("unchecked")
final Class> clazz = (Class>) (Class) FlatJoinFunction.class;
return clazz;
}
@Override
public int getNumberOfDriverComparators() {
return 2;
}
@Override
public void prepare() throws Exception{
final TaskConfig config = this.taskContext.getTaskConfig();
final Counter numRecordsIn = this.taskContext.getMetricGroup().getIOMetricGroup().getNumRecordsInCounter();
// obtain task manager's memory manager and I/O manager
final MemoryManager memoryManager = this.taskContext.getMemoryManager();
final IOManager ioManager = this.taskContext.getIOManager();
// set up memory and I/O parameters
final double fractionAvailableMemory = config.getRelativeMemoryDriver();
final int numPages = memoryManager.computeNumberOfPages(fractionAvailableMemory);
// test minimum memory requirements
final DriverStrategy ls = config.getDriverStrategy();
final MutableObjectIterator in1 = new CountingMutableObjectIterator<>(this.taskContext.getInput(0), numRecordsIn);
final MutableObjectIterator in2 = new CountingMutableObjectIterator<>(this.taskContext.getInput(1), numRecordsIn);
// get the key positions and types
final TypeSerializer serializer1 = this.taskContext.getInputSerializer(0).getSerializer();
final TypeSerializer serializer2 = this.taskContext.getInputSerializer(1).getSerializer();
final TypeComparator comparator1 = this.taskContext.getDriverComparator(0);
final TypeComparator comparator2 = this.taskContext.getDriverComparator(1);
final TypePairComparatorFactory pairComparatorFactory = config.getPairComparatorFactory(
this.taskContext.getUserCodeClassLoader());
if (pairComparatorFactory == null) {
throw new Exception("Missing pair comparator factory for join driver");
}
ExecutionConfig executionConfig = taskContext.getExecutionConfig();
boolean objectReuseEnabled = executionConfig.isObjectReuseEnabled();
if (LOG.isDebugEnabled()) {
LOG.debug("Join Driver object reuse: " + (objectReuseEnabled ? "ENABLED" : "DISABLED") + ".");
}
boolean hashJoinUseBitMaps = taskContext.getTaskManagerInfo().getConfiguration()
.getBoolean(AlgorithmOptions.HASH_JOIN_BLOOM_FILTERS);
// create and return joining iterator according to provided local strategy.
if (objectReuseEnabled) {
switch (ls) {
case INNER_MERGE:
this.joinIterator = new ReusingMergeInnerJoinIterator<>(in1, in2,
serializer1, comparator1,
serializer2, comparator2,
pairComparatorFactory.createComparator12(comparator1, comparator2),
memoryManager, ioManager, numPages, this.taskContext.getContainingTask());
break;
case HYBRIDHASH_BUILD_FIRST:
this.joinIterator = new ReusingBuildFirstHashJoinIterator<>(in1, in2,
serializer1, comparator1,
serializer2, comparator2,
pairComparatorFactory.createComparator21(comparator1, comparator2),
memoryManager, ioManager,
this.taskContext.getContainingTask(),
fractionAvailableMemory,
false,
false,
hashJoinUseBitMaps);
break;
case HYBRIDHASH_BUILD_SECOND:
this.joinIterator = new ReusingBuildSecondHashJoinIterator<>(in1, in2,
serializer1, comparator1,
serializer2, comparator2,
pairComparatorFactory.createComparator12(comparator1, comparator2),
memoryManager, ioManager,
this.taskContext.getContainingTask(),
fractionAvailableMemory,
false,
false,
hashJoinUseBitMaps);
break;
default:
throw new Exception("Unsupported driver strategy for join driver: " + ls.name());
}
} else {
switch (ls) {
case INNER_MERGE:
this.joinIterator = new NonReusingMergeInnerJoinIterator<>(in1, in2,
serializer1, comparator1,
serializer2, comparator2,
pairComparatorFactory.createComparator12(comparator1, comparator2),
memoryManager, ioManager, numPages, this.taskContext.getContainingTask());
break;
case HYBRIDHASH_BUILD_FIRST:
this.joinIterator = new NonReusingBuildFirstHashJoinIterator<>(in1, in2,
serializer1, comparator1,
serializer2, comparator2,
pairComparatorFactory.createComparator21(comparator1, comparator2),
memoryManager, ioManager,
this.taskContext.getContainingTask(),
fractionAvailableMemory,
false,
false,
hashJoinUseBitMaps);
break;
case HYBRIDHASH_BUILD_SECOND:
this.joinIterator = new NonReusingBuildSecondHashJoinIterator<>(in1, in2,
serializer1, comparator1,
serializer2, comparator2,
pairComparatorFactory.createComparator12(comparator1, comparator2),
memoryManager, ioManager,
this.taskContext.getContainingTask(),
fractionAvailableMemory,
false,
false,
hashJoinUseBitMaps);
break;
default:
throw new Exception("Unsupported driver strategy for join driver: " + ls.name());
}
}
// open the iterator - this triggers the sorting or hash-table building
// and blocks until the iterator is ready
this.joinIterator.open();
if (LOG.isDebugEnabled()) {
LOG.debug(this.taskContext.formatLogString("join task iterator ready."));
}
}
@Override
public void run() throws Exception {
final Counter numRecordsOut = this.taskContext.getMetricGroup().getIOMetricGroup().getNumRecordsOutCounter();
final FlatJoinFunction joinStub = this.taskContext.getStub();
final Collector collector = new CountingCollector<>(this.taskContext.getOutputCollector(), numRecordsOut);
final JoinTaskIterator joinIterator = this.joinIterator;
while (this.running && joinIterator.callWithNextKey(joinStub, collector)) {
}
}
@Override
public void cleanup() throws Exception {
if (this.joinIterator != null) {
this.joinIterator.close();
this.joinIterator = null;
}
}
@Override
public void cancel() {
this.running = false;
if (this.joinIterator != null) {
this.joinIterator.abort();
}
}
}
