HBASE-11586 HFile's HDFS op latency sampling code is not used
This commit is contained in:
Andrew Purtell
parent
7b5a309697
commit
531eee0031
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@ -182,101 +182,12 @@ public class HFile {
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public static final int DEFAULT_BYTES_PER_CHECKSUM = 16 * 1024;
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public static final ChecksumType DEFAULT_CHECKSUM_TYPE = ChecksumType.CRC32;
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// For measuring latency of "sequential" reads and writes
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private static final AtomicInteger readOps = new AtomicInteger();
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private static final AtomicLong readTimeNano = new AtomicLong();
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private static final AtomicInteger writeOps = new AtomicInteger();
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private static final AtomicLong writeTimeNano = new AtomicLong();
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// For measuring latency of pread
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private static final AtomicInteger preadOps = new AtomicInteger();
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private static final AtomicLong preadTimeNano = new AtomicLong();
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// For measuring number of checksum failures
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static final AtomicLong checksumFailures = new AtomicLong();
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// For getting more detailed stats on FS latencies
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// If, for some reason, the metrics subsystem stops polling for latencies,
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// I don't want data to pile up in a memory leak
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// so, after LATENCY_BUFFER_SIZE items have been enqueued for processing,
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// fs latency stats will be dropped (and this behavior will be logged)
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private static final int LATENCY_BUFFER_SIZE = 5000;
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private static final BlockingQueue<Long> fsReadLatenciesNanos =
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new ArrayBlockingQueue<Long>(LATENCY_BUFFER_SIZE);
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private static final BlockingQueue<Long> fsWriteLatenciesNanos =
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new ArrayBlockingQueue<Long>(LATENCY_BUFFER_SIZE);
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private static final BlockingQueue<Long> fsPreadLatenciesNanos =
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new ArrayBlockingQueue<Long>(LATENCY_BUFFER_SIZE);
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public static final void offerReadLatency(long latencyNanos, boolean pread) {
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if (pread) {
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fsPreadLatenciesNanos.offer(latencyNanos); // might be silently dropped, if the queue is full
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preadOps.incrementAndGet();
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preadTimeNano.addAndGet(latencyNanos);
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} else {
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fsReadLatenciesNanos.offer(latencyNanos); // might be silently dropped, if the queue is full
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readTimeNano.addAndGet(latencyNanos);
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readOps.incrementAndGet();
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}
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}
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public static final void offerWriteLatency(long latencyNanos) {
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fsWriteLatenciesNanos.offer(latencyNanos); // might be silently dropped, if the queue is full
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writeTimeNano.addAndGet(latencyNanos);
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writeOps.incrementAndGet();
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}
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public static final Collection<Long> getReadLatenciesNanos() {
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final List<Long> latencies =
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Lists.newArrayListWithCapacity(fsReadLatenciesNanos.size());
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fsReadLatenciesNanos.drainTo(latencies);
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return latencies;
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}
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public static final Collection<Long> getPreadLatenciesNanos() {
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final List<Long> latencies =
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Lists.newArrayListWithCapacity(fsPreadLatenciesNanos.size());
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fsPreadLatenciesNanos.drainTo(latencies);
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return latencies;
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}
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public static final Collection<Long> getWriteLatenciesNanos() {
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final List<Long> latencies =
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Lists.newArrayListWithCapacity(fsWriteLatenciesNanos.size());
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fsWriteLatenciesNanos.drainTo(latencies);
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return latencies;
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}
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// for test purpose
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public static final AtomicLong dataBlockReadCnt = new AtomicLong(0);
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// number of sequential reads
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public static final int getReadOps() {
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return readOps.getAndSet(0);
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}
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public static final long getReadTimeMs() {
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return readTimeNano.getAndSet(0) / 1000000;
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}
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// number of positional reads
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public static final int getPreadOps() {
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return preadOps.getAndSet(0);
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}
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public static final long getPreadTimeMs() {
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return preadTimeNano.getAndSet(0) / 1000000;
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}
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public static final int getWriteOps() {
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return writeOps.getAndSet(0);
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}
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public static final long getWriteTimeMs() {
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return writeTimeNano.getAndSet(0) / 1000000;
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}
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/**
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* Number of checksum verification failures. It also
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* clears the counter.
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@ -323,7 +323,6 @@ public class HFileReaderV2 extends AbstractHFileReader {
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if (block == -1)
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return null;
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long blockSize = metaBlockIndexReader.getRootBlockDataSize(block);
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long startTimeNs = System.nanoTime();
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// Per meta key from any given file, synchronize reads for said block. This
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// is OK to do for meta blocks because the meta block index is always
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@ -348,9 +347,6 @@ public class HFileReaderV2 extends AbstractHFileReader {
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HFileBlock metaBlock = fsBlockReader.readBlockData(metaBlockOffset,
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blockSize, -1, true);
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final long delta = System.nanoTime() - startTimeNs;
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HFile.offerReadLatency(delta, true);
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// Cache the block
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if (cacheBlock) {
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cacheConf.getBlockCache().cacheBlock(cacheKey, metaBlock,
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@ -449,14 +445,10 @@ public class HFileReaderV2 extends AbstractHFileReader {
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traceScope.getSpan().addTimelineAnnotation("blockCacheMiss");
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}
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// Load block from filesystem.
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long startTimeNs = System.nanoTime();
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HFileBlock hfileBlock = fsBlockReader.readBlockData(dataBlockOffset, onDiskBlockSize, -1,
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pread);
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validateBlockType(hfileBlock, expectedBlockType);
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final long delta = System.nanoTime() - startTimeNs;
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HFile.offerReadLatency(delta, pread);
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// Cache the block if necessary
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if (cacheBlock && cacheConf.shouldCacheBlockOnRead(hfileBlock.getBlockType().getCategory())) {
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cacheConf.getBlockCache().cacheBlock(cacheKey, hfileBlock, cacheConf.isInMemory(),
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@ -148,7 +148,6 @@ public class HFileWriterV2 extends AbstractHFileWriter {
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if (!fsBlockWriter.isWriting() || fsBlockWriter.blockSizeWritten() == 0)
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return;
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long startTimeNs = System.nanoTime();
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// Update the first data block offset for scanning.
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if (firstDataBlockOffset == -1) {
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firstDataBlockOffset = outputStream.getPos();
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@ -161,7 +160,6 @@ public class HFileWriterV2 extends AbstractHFileWriter {
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byte[] indexKey = comparator.calcIndexKey(lastKeyOfPreviousBlock, firstKeyInBlock);
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dataBlockIndexWriter.addEntry(indexKey, lastDataBlockOffset, onDiskSize);
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totalUncompressedBytes += fsBlockWriter.getUncompressedSizeWithHeader();
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HFile.offerWriteLatency(System.nanoTime() - startTimeNs);
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if (cacheConf.shouldCacheDataOnWrite()) {
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doCacheOnWrite(lastDataBlockOffset);
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}
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@ -1,824 +0,0 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with this
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* work for additional information regarding copyright ownership. The ASF
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* licenses this file to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*/
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package org.apache.hadoop.hbase.regionserver;
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import java.io.IOException;
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import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.Collections;
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import java.util.List;
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import java.util.Random;
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import java.util.SortedSet;
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import java.util.concurrent.Callable;
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import java.util.concurrent.ConcurrentSkipListSet;
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import java.util.concurrent.ExecutionException;
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import java.util.concurrent.ExecutorCompletionService;
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import java.util.concurrent.ExecutorService;
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import java.util.concurrent.Executors;
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import java.util.concurrent.Future;
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import java.util.concurrent.TimeUnit;
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import java.util.concurrent.atomic.AtomicLong;
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import org.apache.commons.cli.CommandLine;
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import org.apache.commons.cli.CommandLineParser;
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import org.apache.commons.cli.HelpFormatter;
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import org.apache.commons.cli.Option;
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import org.apache.commons.cli.OptionGroup;
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import org.apache.commons.cli.Options;
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import org.apache.commons.cli.ParseException;
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import org.apache.commons.cli.PosixParser;
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import org.apache.commons.logging.Log;
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import org.apache.commons.logging.LogFactory;
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import org.apache.hadoop.conf.Configuration;
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import org.apache.hadoop.fs.FileSystem;
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import org.apache.hadoop.fs.Path;
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import org.apache.hadoop.hbase.Cell;
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import org.apache.hadoop.hbase.HBaseConfiguration;
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import org.apache.hadoop.hbase.HColumnDescriptor;
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import org.apache.hadoop.hbase.HRegionInfo;
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import org.apache.hadoop.hbase.HTableDescriptor;
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import org.apache.hadoop.hbase.KeyValue;
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import org.apache.hadoop.hbase.KeyValueUtil;
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import org.apache.hadoop.hbase.TableName;
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import org.apache.hadoop.hbase.client.IsolationLevel;
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import org.apache.hadoop.hbase.client.Scan;
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import org.apache.hadoop.hbase.io.compress.Compression;
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import org.apache.hadoop.hbase.io.encoding.DataBlockEncoding;
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import org.apache.hadoop.hbase.io.hfile.BlockCache;
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import org.apache.hadoop.hbase.io.hfile.CacheConfig;
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import org.apache.hadoop.hbase.io.hfile.HFile;
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import org.apache.hadoop.hbase.io.hfile.HFilePrettyPrinter;
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import org.apache.hadoop.hbase.util.Bytes;
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import org.apache.hadoop.hbase.util.LoadTestTool;
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import org.apache.hadoop.hbase.util.MD5Hash;
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import org.apache.hadoop.util.StringUtils;
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/**
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* Tests HFile read/write workloads, such as merging HFiles and random reads.
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*/
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public class HFileReadWriteTest {
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private static final String TABLE_NAME = "MyTable";
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private static enum Workload {
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MERGE("merge", "Merge the specified HFiles", 1, Integer.MAX_VALUE),
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RANDOM_READS("read", "Perform a random read benchmark on the given HFile",
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1, 1);
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private String option;
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private String description;
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public final int minNumInputFiles;
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public final int maxNumInputFiles;
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Workload(String option, String description, int minNumInputFiles,
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int maxNumInputFiles) {
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this.option = option;
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this.description = description;
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this.minNumInputFiles = minNumInputFiles;
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this.maxNumInputFiles = maxNumInputFiles;
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}
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static OptionGroup getOptionGroup() {
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OptionGroup optionGroup = new OptionGroup();
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for (Workload w : values())
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optionGroup.addOption(new Option(w.option, w.description));
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return optionGroup;
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}
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private static String getOptionListStr() {
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StringBuilder sb = new StringBuilder();
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for (Workload w : values()) {
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if (sb.length() > 0)
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sb.append(", ");
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sb.append("-" + w.option);
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}
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return sb.toString();
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}
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static Workload fromCmdLine(CommandLine cmdLine) {
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for (Workload w : values()) {
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if (cmdLine.hasOption(w.option))
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return w;
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}
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LOG.error("No workload specified. Specify one of the options: " +
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getOptionListStr());
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return null;
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}
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public String onlyUsedFor() {
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return ". Only used for the " + this + " workload.";
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}
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}
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private static final String OUTPUT_DIR_OPTION = "output_dir";
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private static final String COMPRESSION_OPTION = "compression";
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private static final String BLOOM_FILTER_OPTION = "bloom";
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private static final String BLOCK_SIZE_OPTION = "block_size";
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private static final String DURATION_OPTION = "duration";
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private static final String NUM_THREADS_OPTION = "num_threads";
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private static final Log LOG = LogFactory.getLog(HFileReadWriteTest.class);
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private Workload workload;
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private FileSystem fs;
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private Configuration conf;
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private CacheConfig cacheConf;
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private List<String> inputFileNames;
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private Path outputDir;
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private int numReadThreads;
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private int durationSec;
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private DataBlockEncoding dataBlockEncoding;
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private BloomType bloomType = BloomType.NONE;
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private int blockSize;
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private Compression.Algorithm compression = Compression.Algorithm.NONE;
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private byte[] firstRow, lastRow;
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private AtomicLong numSeeks = new AtomicLong();
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private AtomicLong numKV = new AtomicLong();
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private AtomicLong totalBytes = new AtomicLong();
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private byte[] family;
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private long endTime = Long.MAX_VALUE;
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private SortedSet<String> keysRead = new ConcurrentSkipListSet<String>();
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private List<StoreFile> inputStoreFiles;
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public HFileReadWriteTest() {
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conf = HBaseConfiguration.create();
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cacheConf = new CacheConfig(conf);
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}
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@SuppressWarnings("unchecked")
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public boolean parseOptions(String args[]) {
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Options options = new Options();
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options.addOption(OUTPUT_DIR_OPTION, true, "Output directory" +
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Workload.MERGE.onlyUsedFor());
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options.addOption(COMPRESSION_OPTION, true, " Compression type, one of "
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+ Arrays.toString(Compression.Algorithm.values()) +
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Workload.MERGE.onlyUsedFor());
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options.addOption(BLOOM_FILTER_OPTION, true, "Bloom filter type, one of "
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+ Arrays.toString(BloomType.values()) +
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Workload.MERGE.onlyUsedFor());
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options.addOption(BLOCK_SIZE_OPTION, true, "HFile block size" +
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Workload.MERGE.onlyUsedFor());
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options.addOption(DURATION_OPTION, true, "The amount of time to run the " +
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"random read workload for" + Workload.RANDOM_READS.onlyUsedFor());
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options.addOption(NUM_THREADS_OPTION, true, "The number of random " +
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"reader threads" + Workload.RANDOM_READS.onlyUsedFor());
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options.addOption(NUM_THREADS_OPTION, true, "The number of random " +
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"reader threads" + Workload.RANDOM_READS.onlyUsedFor());
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options.addOption(LoadTestTool.OPT_DATA_BLOCK_ENCODING, true,
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LoadTestTool.OPT_DATA_BLOCK_ENCODING_USAGE);
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options.addOptionGroup(Workload.getOptionGroup());
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if (args.length == 0) {
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HelpFormatter formatter = new HelpFormatter();
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formatter.printHelp(HFileReadWriteTest.class.getSimpleName(),
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options, true);
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return false;
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}
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CommandLineParser parser = new PosixParser();
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CommandLine cmdLine;
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try {
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cmdLine = parser.parse(options, args);
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} catch (ParseException ex) {
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LOG.error(ex);
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return false;
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}
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workload = Workload.fromCmdLine(cmdLine);
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if (workload == null)
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return false;
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inputFileNames = (List<String>) cmdLine.getArgList();
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if (inputFileNames.size() == 0) {
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LOG.error("No input file names specified");
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return false;
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}
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if (inputFileNames.size() < workload.minNumInputFiles) {
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LOG.error("Too few input files: at least " + workload.minNumInputFiles +
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" required");
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return false;
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}
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if (inputFileNames.size() > workload.maxNumInputFiles) {
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LOG.error("Too many input files: at most " + workload.minNumInputFiles +
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" allowed");
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return false;
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}
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if (cmdLine.hasOption(COMPRESSION_OPTION)) {
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compression = Compression.Algorithm.valueOf(
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cmdLine.getOptionValue(COMPRESSION_OPTION));
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}
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if (cmdLine.hasOption(BLOOM_FILTER_OPTION)) {
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bloomType = BloomType.valueOf(cmdLine.getOptionValue(
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BLOOM_FILTER_OPTION));
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}
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if (cmdLine.hasOption(LoadTestTool.OPT_DATA_BLOCK_ENCODING)) {
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dataBlockEncoding = DataBlockEncoding.valueOf(
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cmdLine.getOptionValue(LoadTestTool.OPT_DATA_BLOCK_ENCODING));
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}
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blockSize = conf.getInt("hfile.min.blocksize.size", 65536);
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if (cmdLine.hasOption(BLOCK_SIZE_OPTION))
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blockSize = Integer.valueOf(cmdLine.getOptionValue(BLOCK_SIZE_OPTION));
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if (workload == Workload.MERGE) {
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String outputDirStr = cmdLine.getOptionValue(OUTPUT_DIR_OPTION);
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if (outputDirStr == null) {
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LOG.error("Output directory is not specified");
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return false;
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}
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outputDir = new Path(outputDirStr);
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// Will be checked for existence in validateConfiguration.
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}
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if (workload == Workload.RANDOM_READS) {
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if (!requireOptions(cmdLine, new String[] { DURATION_OPTION,
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NUM_THREADS_OPTION })) {
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return false;
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}
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durationSec = Integer.parseInt(cmdLine.getOptionValue(DURATION_OPTION));
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numReadThreads = Integer.parseInt(
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cmdLine.getOptionValue(NUM_THREADS_OPTION));
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}
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Collections.sort(inputFileNames);
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return true;
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}
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/** @return true if all the given options are specified */
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private boolean requireOptions(CommandLine cmdLine,
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String[] requiredOptions) {
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for (String option : requiredOptions)
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if (!cmdLine.hasOption(option)) {
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LOG.error("Required option -" + option + " not specified");
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return false;
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}
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return true;
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}
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public boolean validateConfiguration() throws IOException {
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fs = FileSystem.get(conf);
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for (String inputFileName : inputFileNames) {
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Path path = new Path(inputFileName);
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if (!fs.exists(path)) {
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LOG.error("File " + inputFileName + " does not exist");
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return false;
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}
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if (fs.getFileStatus(path).isDirectory()) {
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LOG.error(inputFileName + " is a directory");
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return false;
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}
|
||||
}
|
||||
|
||||
if (outputDir != null &&
|
||||
(!fs.exists(outputDir) || !fs.getFileStatus(outputDir).isDirectory())) {
|
||||
LOG.error(outputDir.toString() + " does not exist or is not a " +
|
||||
"directory");
|
||||
return false;
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
public void runMergeWorkload() throws IOException {
|
||||
long maxKeyCount = prepareForMerge();
|
||||
|
||||
HColumnDescriptor columnDescriptor = new HColumnDescriptor(
|
||||
HFileReadWriteTest.class.getSimpleName());
|
||||
columnDescriptor.setBlocksize(blockSize);
|
||||
columnDescriptor.setBloomFilterType(bloomType);
|
||||
columnDescriptor.setCompressionType(compression);
|
||||
columnDescriptor.setDataBlockEncoding(dataBlockEncoding);
|
||||
HRegionInfo regionInfo = new HRegionInfo();
|
||||
HTableDescriptor htd = new HTableDescriptor(TableName.valueOf(TABLE_NAME));
|
||||
HRegion region = new HRegion(outputDir, null, fs, conf, regionInfo, htd, null);
|
||||
HStore store = new HStore(region, columnDescriptor, conf);
|
||||
|
||||
List<StoreFileScanner> scanners =
|
||||
StoreFileScanner.getScannersForStoreFiles(inputStoreFiles, false,
|
||||
false, region.getReadpoint(IsolationLevel.READ_COMMITTED));
|
||||
|
||||
StoreFile.Writer writer = store.createWriterInTmp(maxKeyCount, compression, false, true, false);
|
||||
|
||||
StatisticsPrinter statsPrinter = new StatisticsPrinter();
|
||||
statsPrinter.startThread();
|
||||
|
||||
try {
|
||||
performMerge(scanners, store, writer);
|
||||
writer.close();
|
||||
} finally {
|
||||
statsPrinter.requestStop();
|
||||
}
|
||||
|
||||
Path resultPath = writer.getPath();
|
||||
|
||||
resultPath = tryUsingSimpleOutputPath(resultPath);
|
||||
|
||||
long fileSize = fs.getFileStatus(resultPath).getLen();
|
||||
LOG.info("Created " + resultPath + ", size " + fileSize);
|
||||
|
||||
System.out.println();
|
||||
System.out.println("HFile information for " + resultPath);
|
||||
System.out.println();
|
||||
|
||||
HFilePrettyPrinter hfpp = new HFilePrettyPrinter();
|
||||
hfpp.run(new String[] { "-m", "-f", resultPath.toString() });
|
||||
}
|
||||
|
||||
private Path tryUsingSimpleOutputPath(Path resultPath) throws IOException {
|
||||
if (inputFileNames.size() == 1) {
|
||||
// In case of only one input set output to be consistent with the
|
||||
// input name.
|
||||
|
||||
Path inputPath = new Path(inputFileNames.get(0));
|
||||
Path betterOutputPath = new Path(outputDir,
|
||||
inputPath.getName());
|
||||
if (!fs.exists(betterOutputPath)) {
|
||||
fs.rename(resultPath, betterOutputPath);
|
||||
resultPath = betterOutputPath;
|
||||
}
|
||||
}
|
||||
return resultPath;
|
||||
}
|
||||
|
||||
private void performMerge(List<StoreFileScanner> scanners, HStore store,
|
||||
StoreFile.Writer writer) throws IOException {
|
||||
InternalScanner scanner = null;
|
||||
try {
|
||||
Scan scan = new Scan();
|
||||
|
||||
// Include deletes
|
||||
scanner = new StoreScanner(store, store.getScanInfo(), scan, scanners,
|
||||
ScanType.COMPACT_DROP_DELETES, Long.MIN_VALUE, Long.MIN_VALUE);
|
||||
|
||||
ArrayList<Cell> kvs = new ArrayList<Cell>();
|
||||
|
||||
while (scanner.next(kvs) || kvs.size() != 0) {
|
||||
numKV.addAndGet(kvs.size());
|
||||
for (Cell c : kvs) {
|
||||
KeyValue kv = KeyValueUtil.ensureKeyValue(c);
|
||||
totalBytes.addAndGet(kv.getLength());
|
||||
writer.append(kv);
|
||||
}
|
||||
kvs.clear();
|
||||
}
|
||||
} finally {
|
||||
if (scanner != null)
|
||||
scanner.close();
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* @return the total key count in the files being merged
|
||||
* @throws IOException
|
||||
*/
|
||||
private long prepareForMerge() throws IOException {
|
||||
LOG.info("Merging " + inputFileNames);
|
||||
LOG.info("Using block size: " + blockSize);
|
||||
inputStoreFiles = new ArrayList<StoreFile>();
|
||||
|
||||
long maxKeyCount = 0;
|
||||
for (String fileName : inputFileNames) {
|
||||
Path filePath = new Path(fileName);
|
||||
|
||||
// Open without caching.
|
||||
StoreFile sf = openStoreFile(filePath, false);
|
||||
sf.createReader();
|
||||
inputStoreFiles.add(sf);
|
||||
|
||||
StoreFile.Reader r = sf.getReader();
|
||||
if (r != null) {
|
||||
long keyCount = r.getFilterEntries();
|
||||
maxKeyCount += keyCount;
|
||||
LOG.info("Compacting: " + sf + "; keyCount = " + keyCount
|
||||
+ "; Bloom Type = " + r.getBloomFilterType().toString()
|
||||
+ "; Size = " + StringUtils.humanReadableInt(r.length()));
|
||||
}
|
||||
}
|
||||
return maxKeyCount;
|
||||
}
|
||||
|
||||
public HFile.Reader[] getHFileReaders() {
|
||||
HFile.Reader readers[] = new HFile.Reader[inputStoreFiles.size()];
|
||||
for (int i = 0; i < inputStoreFiles.size(); ++i)
|
||||
readers[i] = inputStoreFiles.get(i).getReader().getHFileReader();
|
||||
return readers;
|
||||
}
|
||||
|
||||
private StoreFile openStoreFile(Path filePath, boolean blockCache)
|
||||
throws IOException {
|
||||
// We are passing the ROWCOL Bloom filter type, but StoreFile will still
|
||||
// use the Bloom filter type specified in the HFile.
|
||||
return new StoreFile(fs, filePath, conf, cacheConf,
|
||||
BloomType.ROWCOL);
|
||||
}
|
||||
|
||||
public static int charToHex(int c) {
|
||||
if ('0' <= c && c <= '9')
|
||||
return c - '0';
|
||||
if ('a' <= c && c <= 'f')
|
||||
return 10 + c - 'a';
|
||||
return -1;
|
||||
}
|
||||
|
||||
public static int hexToChar(int h) {
|
||||
h &= 0xff;
|
||||
if (0 <= h && h <= 9)
|
||||
return '0' + h;
|
||||
if (10 <= h && h <= 15)
|
||||
return 'a' + h - 10;
|
||||
return -1;
|
||||
}
|
||||
|
||||
public static byte[] createRandomRow(Random rand, byte[] first, byte[] last)
|
||||
{
|
||||
int resultLen = Math.max(first.length, last.length);
|
||||
int minLen = Math.min(first.length, last.length);
|
||||
byte[] result = new byte[resultLen];
|
||||
boolean greaterThanFirst = false;
|
||||
boolean lessThanLast = false;
|
||||
|
||||
for (int i = 0; i < resultLen; ++i) {
|
||||
// Generate random hex characters if both first and last row are hex
|
||||
// at this position.
|
||||
boolean isHex = i < minLen && charToHex(first[i]) != -1
|
||||
&& charToHex(last[i]) != -1;
|
||||
|
||||
// If our key is already greater than the first key, we can use
|
||||
// arbitrarily low values.
|
||||
int low = greaterThanFirst || i >= first.length ? 0 : first[i] & 0xff;
|
||||
|
||||
// If our key is already less than the last key, we can use arbitrarily
|
||||
// high values.
|
||||
int high = lessThanLast || i >= last.length ? 0xff : last[i] & 0xff;
|
||||
|
||||
// Randomly select the next byte between the lowest and the highest
|
||||
// value allowed for this position. Restrict to hex characters if
|
||||
// necessary. We are generally biased towards border cases, which is OK
|
||||
// for test.
|
||||
|
||||
int r;
|
||||
if (isHex) {
|
||||
// Use hex chars.
|
||||
if (low < '0')
|
||||
low = '0';
|
||||
|
||||
if (high > 'f')
|
||||
high = 'f';
|
||||
|
||||
int lowHex = charToHex(low);
|
||||
int highHex = charToHex(high);
|
||||
r = hexToChar(lowHex + rand.nextInt(highHex - lowHex + 1));
|
||||
} else {
|
||||
r = low + rand.nextInt(high - low + 1);
|
||||
}
|
||||
|
||||
if (r > low)
|
||||
greaterThanFirst = true;
|
||||
|
||||
if (r < high)
|
||||
lessThanLast = true;
|
||||
|
||||
result[i] = (byte) r;
|
||||
}
|
||||
|
||||
if (Bytes.compareTo(result, first) < 0) {
|
||||
throw new IllegalStateException("Generated key " +
|
||||
Bytes.toStringBinary(result) + " is less than the first key " +
|
||||
Bytes.toStringBinary(first));
|
||||
}
|
||||
|
||||
if (Bytes.compareTo(result, last) > 0) {
|
||||
throw new IllegalStateException("Generated key " +
|
||||
Bytes.toStringBinary(result) + " is greater than te last key " +
|
||||
Bytes.toStringBinary(last));
|
||||
}
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
private static byte[] createRandomQualifier(Random rand) {
|
||||
byte[] q = new byte[10 + rand.nextInt(30)];
|
||||
rand.nextBytes(q);
|
||||
return q;
|
||||
}
|
||||
|
||||
private class RandomReader implements Callable<Boolean> {
|
||||
|
||||
private int readerId;
|
||||
private StoreFile.Reader reader;
|
||||
private boolean pread;
|
||||
|
||||
public RandomReader(int readerId, StoreFile.Reader reader,
|
||||
boolean pread)
|
||||
{
|
||||
this.readerId = readerId;
|
||||
this.reader = reader;
|
||||
this.pread = pread;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Boolean call() throws Exception {
|
||||
Thread.currentThread().setName("reader " + readerId);
|
||||
Random rand = new Random();
|
||||
StoreFileScanner scanner = reader.getStoreFileScanner(true, pread);
|
||||
|
||||
while (System.currentTimeMillis() < endTime) {
|
||||
byte[] row = createRandomRow(rand, firstRow, lastRow);
|
||||
KeyValue kvToSeek = new KeyValue(row, family,
|
||||
createRandomQualifier(rand));
|
||||
if (rand.nextDouble() < 0.0001) {
|
||||
LOG.info("kvToSeek=" + kvToSeek);
|
||||
}
|
||||
boolean seekResult;
|
||||
try {
|
||||
seekResult = scanner.seek(kvToSeek);
|
||||
} catch (IOException ex) {
|
||||
throw new IOException("Seek failed for key " + kvToSeek + ", pread="
|
||||
+ pread, ex);
|
||||
}
|
||||
numSeeks.incrementAndGet();
|
||||
if (!seekResult) {
|
||||
error("Seek returned false for row " + Bytes.toStringBinary(row));
|
||||
return false;
|
||||
}
|
||||
for (int i = 0; i < rand.nextInt(10) + 1; ++i) {
|
||||
Cell kv = scanner.next();
|
||||
numKV.incrementAndGet();
|
||||
if (i == 0 && kv == null) {
|
||||
error("scanner.next() returned null at the first iteration for " +
|
||||
"row " + Bytes.toStringBinary(row));
|
||||
return false;
|
||||
}
|
||||
if (kv == null)
|
||||
break;
|
||||
|
||||
KeyValue keyv = KeyValueUtil.ensureKeyValue(kv);
|
||||
String keyHashStr = MD5Hash.getMD5AsHex(keyv.getKey());
|
||||
keysRead.add(keyHashStr);
|
||||
totalBytes.addAndGet(keyv.getLength());
|
||||
}
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
private void error(String msg) {
|
||||
LOG.error("error in reader " + readerId + " (pread=" + pread + "): "
|
||||
+ msg);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
private class StatisticsPrinter implements Callable<Boolean> {
|
||||
|
||||
private volatile boolean stopRequested;
|
||||
private volatile Thread thread;
|
||||
private long totalSeekAndReads, totalPositionalReads;
|
||||
|
||||
/**
|
||||
* Run the statistics collector in a separate thread without an executor.
|
||||
*/
|
||||
public void startThread() {
|
||||
new Thread() {
|
||||
@Override
|
||||
public void run() {
|
||||
try {
|
||||
call();
|
||||
} catch (Exception e) {
|
||||
LOG.error(e);
|
||||
}
|
||||
}
|
||||
}.start();
|
||||
}
|
||||
|
||||
@Override
|
||||
public Boolean call() throws Exception {
|
||||
LOG.info("Starting statistics printer");
|
||||
thread = Thread.currentThread();
|
||||
thread.setName(StatisticsPrinter.class.getSimpleName());
|
||||
long startTime = System.currentTimeMillis();
|
||||
long curTime;
|
||||
while ((curTime = System.currentTimeMillis()) < endTime &&
|
||||
!stopRequested) {
|
||||
long elapsedTime = curTime - startTime;
|
||||
printStats(elapsedTime);
|
||||
try {
|
||||
Thread.sleep(1000 - elapsedTime % 1000);
|
||||
} catch (InterruptedException iex) {
|
||||
Thread.currentThread().interrupt();
|
||||
if (stopRequested)
|
||||
break;
|
||||
}
|
||||
}
|
||||
printStats(curTime - startTime);
|
||||
LOG.info("Stopping statistics printer");
|
||||
return true;
|
||||
}
|
||||
|
||||
private void printStats(long elapsedTime) {
|
||||
long numSeeksL = numSeeks.get();
|
||||
double timeSec = elapsedTime / 1000.0;
|
||||
double seekPerSec = numSeeksL / timeSec;
|
||||
long kvCount = numKV.get();
|
||||
double kvPerSec = kvCount / timeSec;
|
||||
long bytes = totalBytes.get();
|
||||
double bytesPerSec = bytes / timeSec;
|
||||
|
||||
// readOps and preadOps counters get reset on access, so we have to
|
||||
// accumulate them here. HRegion metrics publishing thread should not
|
||||
// be running in this tool, so no one else should be resetting these
|
||||
// metrics.
|
||||
totalSeekAndReads += HFile.getReadOps();
|
||||
totalPositionalReads += HFile.getPreadOps();
|
||||
long totalBlocksRead = totalSeekAndReads + totalPositionalReads;
|
||||
|
||||
double blkReadPerSec = totalBlocksRead / timeSec;
|
||||
|
||||
double seekReadPerSec = totalSeekAndReads / timeSec;
|
||||
double preadPerSec = totalPositionalReads / timeSec;
|
||||
|
||||
boolean isRead = workload == Workload.RANDOM_READS;
|
||||
|
||||
StringBuilder sb = new StringBuilder();
|
||||
sb.append("Time: " + (long) timeSec + " sec");
|
||||
if (isRead)
|
||||
sb.append(", seek/sec: " + (long) seekPerSec);
|
||||
sb.append(", kv/sec: " + (long) kvPerSec);
|
||||
sb.append(", bytes/sec: " + (long) bytesPerSec);
|
||||
sb.append(", blk/sec: " + (long) blkReadPerSec);
|
||||
sb.append(", total KV: " + numKV);
|
||||
sb.append(", total bytes: " + totalBytes);
|
||||
sb.append(", total blk: " + totalBlocksRead);
|
||||
|
||||
sb.append(", seekRead/sec: " + (long) seekReadPerSec);
|
||||
sb.append(", pread/sec: " + (long) preadPerSec);
|
||||
|
||||
if (isRead)
|
||||
sb.append(", unique keys: " + (long) keysRead.size());
|
||||
|
||||
LOG.info(sb.toString());
|
||||
}
|
||||
|
||||
public void requestStop() {
|
||||
stopRequested = true;
|
||||
if (thread != null)
|
||||
thread.interrupt();
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
public boolean runRandomReadWorkload() throws IOException {
|
||||
if (inputFileNames.size() != 1) {
|
||||
throw new IOException("Need exactly one input file for random reads: " +
|
||||
inputFileNames);
|
||||
}
|
||||
|
||||
Path inputPath = new Path(inputFileNames.get(0));
|
||||
|
||||
// Make sure we are using caching.
|
||||
StoreFile storeFile = openStoreFile(inputPath, true);
|
||||
|
||||
StoreFile.Reader reader = storeFile.createReader();
|
||||
|
||||
LOG.info("First key: " + Bytes.toStringBinary(reader.getFirstKey()));
|
||||
LOG.info("Last key: " + Bytes.toStringBinary(reader.getLastKey()));
|
||||
|
||||
KeyValue firstKV = KeyValue.createKeyValueFromKey(reader.getFirstKey());
|
||||
firstRow = firstKV.getRow();
|
||||
|
||||
KeyValue lastKV = KeyValue.createKeyValueFromKey(reader.getLastKey());
|
||||
lastRow = lastKV.getRow();
|
||||
|
||||
byte[] family = firstKV.getFamily();
|
||||
if (!Bytes.equals(family, lastKV.getFamily())) {
|
||||
LOG.error("First and last key have different families: "
|
||||
+ Bytes.toStringBinary(family) + " and "
|
||||
+ Bytes.toStringBinary(lastKV.getFamily()));
|
||||
return false;
|
||||
}
|
||||
|
||||
if (Bytes.equals(firstRow, lastRow)) {
|
||||
LOG.error("First and last row are the same, cannot run read workload: " +
|
||||
"firstRow=" + Bytes.toStringBinary(firstRow) + ", " +
|
||||
"lastRow=" + Bytes.toStringBinary(lastRow));
|
||||
return false;
|
||||
}
|
||||
|
||||
ExecutorService exec = Executors.newFixedThreadPool(numReadThreads + 1);
|
||||
int numCompleted = 0;
|
||||
int numFailed = 0;
|
||||
try {
|
||||
ExecutorCompletionService<Boolean> ecs =
|
||||
new ExecutorCompletionService<Boolean>(exec);
|
||||
endTime = System.currentTimeMillis() + 1000 * durationSec;
|
||||
boolean pread = true;
|
||||
for (int i = 0; i < numReadThreads; ++i)
|
||||
ecs.submit(new RandomReader(i, reader, pread));
|
||||
ecs.submit(new StatisticsPrinter());
|
||||
Future<Boolean> result;
|
||||
while (true) {
|
||||
try {
|
||||
result = ecs.poll(endTime + 1000 - System.currentTimeMillis(),
|
||||
TimeUnit.MILLISECONDS);
|
||||
if (result == null)
|
||||
break;
|
||||
try {
|
||||
if (result.get()) {
|
||||
++numCompleted;
|
||||
} else {
|
||||
++numFailed;
|
||||
}
|
||||
} catch (ExecutionException e) {
|
||||
LOG.error("Worker thread failure", e.getCause());
|
||||
++numFailed;
|
||||
}
|
||||
} catch (InterruptedException ex) {
|
||||
LOG.error("Interrupted after " + numCompleted +
|
||||
" workers completed");
|
||||
Thread.currentThread().interrupt();
|
||||
continue;
|
||||
}
|
||||
|
||||
}
|
||||
} finally {
|
||||
storeFile.closeReader(true);
|
||||
exec.shutdown();
|
||||
|
||||
BlockCache c = cacheConf.getBlockCache();
|
||||
if (c != null) {
|
||||
c.shutdown();
|
||||
}
|
||||
}
|
||||
LOG.info("Worker threads completed: " + numCompleted);
|
||||
LOG.info("Worker threads failed: " + numFailed);
|
||||
return true;
|
||||
}
|
||||
|
||||
public boolean run() throws IOException {
|
||||
LOG.info("Workload: " + workload);
|
||||
switch (workload) {
|
||||
case MERGE:
|
||||
runMergeWorkload();
|
||||
break;
|
||||
case RANDOM_READS:
|
||||
return runRandomReadWorkload();
|
||||
default:
|
||||
LOG.error("Unknown workload: " + workload);
|
||||
return false;
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
private static void failure() {
|
||||
System.exit(1);
|
||||
}
|
||||
|
||||
public static void main(String[] args) {
|
||||
HFileReadWriteTest app = new HFileReadWriteTest();
|
||||
if (!app.parseOptions(args))
|
||||
failure();
|
||||
|
||||
try {
|
||||
if (!app.validateConfiguration() ||
|
||||
!app.run())
|
||||
failure();
|
||||
} catch (IOException ex) {
|
||||
LOG.error(ex);
|
||||
failure();
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
Loading…
Reference in New Issue