HBASE-21256 Improve IntegrationTestBigLinkedList for testing huge data
Signed-off-by: Duo Zhang <zhangduo@apache.org> Signed-off-by: Andrew Purtell <apurtell@apache.org>
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/**
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*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. 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,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.hadoop.hbase.util;
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import java.util.HashSet;
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import java.util.Random;
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import java.util.Set;
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import java.util.concurrent.atomic.AtomicLong;
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import org.apache.yetus.audience.InterfaceAudience;
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import org.apache.hbase.thirdparty.com.google.common.base.Preconditions;
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/**
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*
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* An instance of this class is used to generate a stream of
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* pseudorandom numbers. The class uses a 64-bit seed, which is
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* modified using a linear congruential formula.
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*
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* see https://en.wikipedia.org/wiki/Linear_congruential_generator
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*/
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@InterfaceAudience.Private
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public class Random64 {
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private static final long multiplier = 6364136223846793005L;
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private static final long addend = 1442695040888963407L;
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private static final AtomicLong seedUniquifier
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= new AtomicLong(8682522807148012L);
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private long seed;
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/**
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* Copy from {@link Random#seedUniquifier()}
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*/
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private static long seedUniquifier() {
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for (; ; ) {
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long current = seedUniquifier.get();
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long next = current * 181783497276652981L;
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if (seedUniquifier.compareAndSet(current, next)) {
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return next;
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}
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}
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}
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public Random64() {
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this(seedUniquifier() ^ System.nanoTime());
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}
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public Random64(long seed) {
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this.seed = seed;
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}
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public long nextLong() {
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return next64(64);
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}
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public void nextBytes(byte[] bytes) {
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for (int i = 0, len = bytes.length; i < len;) {
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// We regard seed as unsigned long, therefore used '>>>' instead of '>>'.
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for (long rnd = nextLong(), n = Math.min(len - i, Long.SIZE / Byte.SIZE);
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n-- > 0; rnd >>>= Byte.SIZE) {
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bytes[i++] = (byte) rnd;
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}
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}
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}
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private long next64(int bits) {
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seed = seed * multiplier + addend;
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return seed >>> (64 - bits);
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}
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/**
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* Random64 is a pseudorandom algorithm(LCG). Therefore, we will get same sequence
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* if seeds are the same. This main will test how many calls nextLong() it will
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* get the same seed.
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*
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* We do not need to save all numbers (that is too large). We could save
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* once every 100000 calls nextLong(). If it get a same seed, we can
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* detect this by calling nextLong() 100000 times continuously.
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*
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*/
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public static void main(String[] args) {
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long defaultTotalTestCnt = 1000000000000L; // 1 trillion
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if (args.length == 1) {
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defaultTotalTestCnt = Long.parseLong(args[0]);
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}
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Preconditions.checkArgument(defaultTotalTestCnt > 0, "totalTestCnt <= 0");
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final int precision = 100000;
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final long totalTestCnt = defaultTotalTestCnt + precision;
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final int reportPeriod = 100 * precision;
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final long startTime = System.currentTimeMillis();
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System.out.println("Do collision test, totalTestCnt=" + totalTestCnt);
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Random64 rand = new Random64();
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Set<Long> longSet = new HashSet<>();
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for (long cnt = 1; cnt <= totalTestCnt; cnt++) {
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final long randLong = rand.nextLong();
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if (longSet.contains(randLong)) {
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System.err.println("Conflict! count=" + cnt);
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System.exit(1);
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}
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if (cnt % precision == 0) {
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if (!longSet.add(randLong)) {
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System.err.println("Conflict! count=" + cnt);
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System.exit(1);
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}
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if (cnt % reportPeriod == 0) {
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long cost = System.currentTimeMillis() - startTime;
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long remainingMs = (long) (1.0 * (totalTestCnt - cnt) * cost / cnt);
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System.out.println(
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String.format(
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"Progress: %.3f%%, remaining %d minutes",
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100.0 * cnt / totalTestCnt, remainingMs / 60000
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)
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);
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}
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}
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}
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System.out.println("No collision!");
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}
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}
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@ -21,9 +21,11 @@ package org.apache.hadoop.hbase.chaos.actions;
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import java.io.IOException;
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import java.util.ArrayList;
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import java.util.Collection;
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import java.util.HashSet;
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import java.util.LinkedList;
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import java.util.List;
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import java.util.Map;
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import java.util.Set;
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import java.util.function.BiConsumer;
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import java.util.function.Consumer;
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@ -139,16 +141,13 @@ public class Action {
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return new ServerName [] {};
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}
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ServerName master = clusterStatus.getMasterName();
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if (master == null || !regionServers.contains(master)) {
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return regionServers.toArray(new ServerName[count]);
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}
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if (count == 1) {
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return new ServerName [] {};
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}
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Set<ServerName> masters = new HashSet<ServerName>();
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masters.add(master);
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masters.addAll(clusterStatus.getBackupMasterNames());
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ArrayList<ServerName> tmp = new ArrayList<>(count);
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tmp.addAll(regionServers);
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tmp.remove(master);
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return tmp.toArray(new ServerName[count-1]);
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tmp.removeAll(masters);
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return tmp.toArray(new ServerName[tmp.size()]);
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}
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protected void killMaster(ServerName server) throws IOException {
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@ -15,7 +15,6 @@
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.hadoop.hbase.test;
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import java.io.DataInput;
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@ -58,6 +57,7 @@ import org.apache.hadoop.hbase.client.Admin;
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import org.apache.hadoop.hbase.client.BufferedMutator;
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import org.apache.hadoop.hbase.client.BufferedMutatorParams;
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import org.apache.hadoop.hbase.client.Connection;
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import org.apache.hadoop.hbase.client.ConnectionConfiguration;
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import org.apache.hadoop.hbase.client.ConnectionFactory;
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import org.apache.hadoop.hbase.client.Get;
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import org.apache.hadoop.hbase.client.Mutation;
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@ -79,6 +79,7 @@ import org.apache.hadoop.hbase.regionserver.FlushPolicyFactory;
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import org.apache.hadoop.hbase.testclassification.IntegrationTests;
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import org.apache.hadoop.hbase.util.AbstractHBaseTool;
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import org.apache.hadoop.hbase.util.Bytes;
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import org.apache.hadoop.hbase.util.Random64;
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import org.apache.hadoop.hbase.util.RegionSplitter;
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import org.apache.hadoop.hbase.wal.WALEdit;
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import org.apache.hadoop.hbase.wal.WALKey;
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@ -113,6 +114,8 @@ import org.junit.Test;
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import org.junit.experimental.categories.Category;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import org.apache.hbase.thirdparty.com.google.common.base.Preconditions;
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import org.apache.hbase.thirdparty.com.google.common.collect.Sets;
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import org.apache.hbase.thirdparty.org.apache.commons.cli.CommandLine;
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import org.apache.hbase.thirdparty.org.apache.commons.cli.GnuParser;
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@ -267,6 +270,15 @@ public class IntegrationTestBigLinkedList extends IntegrationTestBase {
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public static final String MULTIPLE_UNEVEN_COLUMNFAMILIES_KEY =
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"generator.multiple.columnfamilies";
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/**
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* Set this configuration if you want to scale up the size of test data quickly.
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* <p>
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* $ ./bin/hbase org.apache.hadoop.hbase.test.IntegrationTestBigLinkedList
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* -Dgenerator.big.family.value.size=1024 generator 1 10 output
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*/
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public static final String BIG_FAMILY_VALUE_SIZE_KEY = "generator.big.family.value.size";
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public static enum Counts {
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SUCCESS, TERMINATING, UNDEFINED, IOEXCEPTION
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}
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@ -300,7 +312,7 @@ public class IntegrationTestBigLinkedList extends IntegrationTestBase {
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static class GeneratorRecordReader extends RecordReader<BytesWritable,NullWritable> {
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private long count;
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private long numNodes;
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private Random rand;
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private Random64 rand;
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@Override
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public void close() throws IOException {
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@ -327,8 +339,8 @@ public class IntegrationTestBigLinkedList extends IntegrationTestBase {
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public void initialize(InputSplit arg0, TaskAttemptContext context)
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throws IOException, InterruptedException {
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numNodes = context.getConfiguration().getLong(GENERATOR_NUM_ROWS_PER_MAP_KEY, 25000000);
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// Use SecureRandom to avoid issue described in HBASE-13382.
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rand = new SecureRandom();
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// Use Random64 to avoid issue described in HBASE-21256.
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rand = new Random64();
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}
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@Override
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this.numWalkers = context.getConfiguration().getInt(CONCURRENT_WALKER_KEY, CONCURRENT_WALKER_DEFAULT);
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this.walkersStop = false;
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this.conf = context.getConfiguration();
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if (multipleUnevenColumnFamilies) {
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int n = context.getConfiguration().getInt(BIG_FAMILY_VALUE_SIZE_KEY, 256);
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int limit = context.getConfiguration().getInt(
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ConnectionConfiguration.MAX_KEYVALUE_SIZE_KEY,
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ConnectionConfiguration.MAX_KEYVALUE_SIZE_DEFAULT);
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Preconditions.checkArgument(
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n <= limit,
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"%s(%s) > %s(%s)",
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BIG_FAMILY_VALUE_SIZE_KEY, n, ConnectionConfiguration.MAX_KEYVALUE_SIZE_KEY, limit);
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bigValue = new byte[n];
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ThreadLocalRandom.current().nextBytes(bigValue);
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LOG.info("Create a bigValue with " + n + " bytes.");
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}
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Preconditions.checkArgument(
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numNodes > 0,
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"numNodes(%s) <= 0",
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numNodes);
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Preconditions.checkArgument(
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numNodes % width == 0,
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"numNodes(%s) mod width(%s) != 0",
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numNodes, width);
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Preconditions.checkArgument(
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numNodes % wrap == 0,
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"numNodes(%s) mod wrap(%s) != 0",
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numNodes, wrap
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);
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}
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protected void instantiateHTable() throws IOException {
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@ -457,9 +499,8 @@ public class IntegrationTestBigLinkedList extends IntegrationTestBase {
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current[i] = new byte[key.getLength()];
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System.arraycopy(key.getBytes(), 0, current[i], 0, key.getLength());
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if (++i == current.length) {
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LOG.info("Persisting current.length=" + current.length + ", count=" + count + ", id=" +
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Bytes.toStringBinary(id) + ", current=" + Bytes.toStringBinary(current[0]) +
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", i=" + i);
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LOG.debug("Persisting current.length={}, count={}, id={}, current={}, i=",
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current.length, count, Bytes.toStringBinary(id), Bytes.toStringBinary(current[0]), i);
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persist(output, count, prev, current, id);
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i = 0;
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@ -526,11 +567,6 @@ public class IntegrationTestBigLinkedList extends IntegrationTestBase {
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if (this.multipleUnevenColumnFamilies) {
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// Use any column name.
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put.addColumn(TINY_FAMILY_NAME, TINY_FAMILY_NAME, this.tinyValue);
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// If we've not allocated bigValue, do it now. Reuse same value each time.
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if (this.bigValue == null) {
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this.bigValue = new byte[current[i].length * 10];
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ThreadLocalRandom.current().nextBytes(this.bigValue);
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}
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// Use any column name.
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put.addColumn(BIG_FAMILY_NAME, BIG_FAMILY_NAME, this.bigValue);
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}
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@ -759,6 +795,7 @@ public class IntegrationTestBigLinkedList extends IntegrationTestBase {
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FileOutputFormat.setOutputPath(job, tmpOutput);
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job.setOutputFormatClass(SequenceFileOutputFormat.class);
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TableMapReduceUtil.addDependencyJarsForClasses(job.getConfiguration(), Random64.class);
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boolean success = jobCompletion(job);
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@ -1155,13 +1192,14 @@ public class IntegrationTestBigLinkedList extends IntegrationTestBase {
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// TODO check for more than one def, should not happen
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StringBuilder refsSb = null;
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String keyString = Bytes.toStringBinary(key.getBytes(), 0, key.getLength());
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if (defCount == 0 || refs.size() != 1) {
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String keyString = Bytes.toStringBinary(key.getBytes(), 0, key.getLength());
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refsSb = dumpExtraInfoOnRefs(key, context, refs);
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LOG.error("LinkedListError: key=" + keyString + ", reference(s)=" +
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(refsSb != null? refsSb.toString(): ""));
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}
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if (lostFamilies) {
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String keyString = Bytes.toStringBinary(key.getBytes(), 0, key.getLength());
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LOG.error("LinkedListError: key=" + keyString + ", lost big or tiny families");
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context.getCounter(Counts.LOST_FAMILIES).increment(1);
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context.write(key, LOSTFAM);
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// was added which can help a little debugging. This info is only available in mapper
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// output -- the 'Linked List error Key...' log message above. What we emit here is
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// useless for debugging.
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String keyString = Bytes.toStringBinary(key.getBytes(), 0, key.getLength());
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context.getCounter("undef", keyString).increment(1);
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}
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} else if (defCount > 0 && refs.isEmpty()) {
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@ -1195,6 +1234,7 @@ public class IntegrationTestBigLinkedList extends IntegrationTestBase {
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context.write(key, UNREF);
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context.getCounter(Counts.UNREFERENCED).increment(1);
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if (rows.addAndGet(1) < MISSING_ROWS_TO_LOG) {
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String keyString = Bytes.toStringBinary(key.getBytes(), 0, key.getLength());
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context.getCounter("unref", keyString).increment(1);
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}
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} else {
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