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Neo4j kernel is a lightweight, embedded Java database designed to
store data structured as graphs rather than tables. For more
information, see http://neo4j.org.
/*
* Copyright (c) "Neo4j"
* Neo4j Sweden AB [http://neo4j.com]
*
* This file is part of Neo4j.
*
* Neo4j is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see .
*/
package org.neo4j.kernel.impl.index.schema;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Comparator;
import java.util.List;
import java.util.concurrent.ArrayBlockingQueue;
import java.util.concurrent.Callable;
import java.util.concurrent.TimeUnit;
import org.neo4j.index.internal.gbptree.Layout;
import org.neo4j.io.IOUtils;
import org.neo4j.kernel.api.index.IndexSample;
import org.neo4j.util.Preconditions;
import static java.util.concurrent.TimeUnit.MILLISECONDS;
/**
* A merger of {@link BlockEntry} in a streaming fashion. It takes as input one or more {@link BlockEntryCursor}, merges them
* and on the fly adds batches of merged results to its output, which is consumable by either other {@link BlockEntryStreamMerger}
* or a final consumer.
*
* For convenience instances are themselves valid as input into another {@link BlockEntryStreamMerger}.
*/
class BlockEntryStreamMerger implements BlockEntryCursor, Callable
{
static final int QUEUE_SIZE = 10;
private final List> input;
private final Layout layout;
private final BlockStorage.Cancellation cancellation;
private final ArrayBlockingQueue> mergedOutput;
private final int batchSize;
private final Comparator samplingComparator;
private KEY prevKey;
private long sampledValues;
private long uniqueValues;
private volatile boolean halted;
// This cursor will be used by the single thread reading from this merged stream
private BlockEntryCursor currentOutput;
BlockEntryStreamMerger( List> input, Layout layout, Comparator samplingComparator,
BlockStorage.Cancellation cancellation, int batchSize, int queueSize )
{
this.input = input;
this.layout = layout;
this.cancellation = cancellation;
this.batchSize = batchSize;
this.mergedOutput = new ArrayBlockingQueue<>( queueSize );
this.samplingComparator = samplingComparator;
}
@Override
public Void call() throws IOException
{
try
{
MergingBlockEntryReader mergingReader = new MergingBlockEntryReader<>( layout );
input.forEach( mergingReader::addSource );
List> merged = new ArrayList<>( batchSize );
while ( alive() && mergingReader.next() )
{
merged.add( new BlockEntry<>( mergingReader.key(), mergingReader.value() ) );
if ( merged.size() == batchSize )
{
offer( merged );
merged = new ArrayList<>( batchSize );
}
}
if ( !merged.isEmpty() )
{
offer( merged );
}
return null;
}
finally
{
halted = true;
}
}
/**
* Called from another entry processor, either another merger like this one or a writer of the final data stream.
* @return {@code true} if a new entry was selected (accessed via {@link #key()} and {@link #value()}, or {@code false}
* if the end of the stream has been reached.
*/
@Override
public boolean next() throws IOException
{
do
{
if ( currentOutput != null && currentOutput.next() )
{
return true;
}
currentOutput = nextOutputBatchOrNull();
}
while ( currentOutput != null );
return false;
}
@Override
public KEY key()
{
return currentOutput.key();
}
@Override
public VALUE value()
{
return currentOutput.value();
}
@Override
public void close() throws IOException
{
IOUtils.closeAll( input );
}
private boolean alive()
{
return !halted && !cancellation.cancelled();
}
private void offer( List> entries )
{
if ( samplingComparator != null )
{
includeInSample( entries );
}
ListBasedBlockEntryCursor batch = new ListBasedBlockEntryCursor<>( entries );
try
{
while ( alive() && !mergedOutput.offer( batch, 10, MILLISECONDS ) )
{ // Then just stay here and try
Thread.onSpinWait();
}
}
catch ( InterruptedException e )
{
Thread.currentThread().interrupt();
halted = true;
}
}
void halt()
{
halted = true;
}
private void includeInSample( List> entries )
{
for ( BlockEntry entry : entries )
{
KEY key = entry.key();
if ( prevKey == null || samplingComparator.compare( key, prevKey ) != 0 )
{
prevKey = key;
uniqueValues++;
}
sampledValues++;
}
}
IndexSample buildIndexSample()
{
Preconditions.checkState( samplingComparator != null, "I haven't been sampling at all" );
return new IndexSample( sampledValues, uniqueValues, sampledValues );
}
private BlockEntryCursor nextOutputBatchOrNull()
{
// Keep polling the output if:
// - output isn't empty
// - output is empty but this merger is still going
while ( alive() || !mergedOutput.isEmpty() )
{
try
{
BlockEntryCursor result = mergedOutput.poll( 10, TimeUnit.MILLISECONDS );
if ( result != null )
{
return result;
}
}
catch ( InterruptedException e )
{
Thread.currentThread().interrupt();
}
}
return null;
}
}