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*
* Licensed to the Apache Software Foundation (ASF) under one
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* 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
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package org.apache.hadoop.hbase.regionserver;
import static org.junit.Assert.*;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Collection;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Set;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.hbase.*;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hbase.cell.CellComparator;
import org.junit.Test;
import org.junit.experimental.categories.Category;
@Category(SmallTests.class)
public class TestColumnSeeking {
private final static HBaseTestingUtility TEST_UTIL =
new HBaseTestingUtility();
static final Log LOG = LogFactory.getLog(TestColumnSeeking.class);
@SuppressWarnings("unchecked")
@Test
public void testDuplicateVersions() throws IOException {
String family = "Family";
byte[] familyBytes = Bytes.toBytes("Family");
String table = "TestDuplicateVersions";
HColumnDescriptor hcd =
new HColumnDescriptor(familyBytes).setMaxVersions(1000);
HTableDescriptor htd = new HTableDescriptor(table);
htd.addFamily(hcd);
HRegionInfo info = new HRegionInfo(Bytes.toBytes(table), null, null, false);
HRegion region =
HRegion.createHRegion(info, TEST_UTIL.getDataTestDir(), TEST_UTIL
.getConfiguration(), htd);
try {
List<String> rows = generateRandomWords(10, "row");
List<String> allColumns = generateRandomWords(10, "column");
List<String> values = generateRandomWords(100, "value");
long maxTimestamp = 2;
double selectPercent = 0.5;
int numberOfTests = 5;
double flushPercentage = 0.2;
double minorPercentage = 0.2;
double majorPercentage = 0.2;
double putPercentage = 0.2;
HashMap<String, KeyValue> allKVMap = new HashMap<String, KeyValue>();
HashMap<String, KeyValue>[] kvMaps = new HashMap[numberOfTests];
ArrayList<String>[] columnLists = new ArrayList[numberOfTests];
for (int i = 0; i < numberOfTests; i++) {
kvMaps[i] = new HashMap<String, KeyValue>();
columnLists[i] = new ArrayList<String>();
for (String column : allColumns) {
if (Math.random() < selectPercent) {
columnLists[i].add(column);
}
}
}
for (String value : values) {
for (String row : rows) {
Put p = new Put(Bytes.toBytes(row));
p.setWriteToWAL(false);
for (String column : allColumns) {
for (long timestamp = 1; timestamp <= maxTimestamp; timestamp++) {
KeyValue kv =
KeyValueTestUtil.create(row, family, column, timestamp, value);
if (Math.random() < putPercentage) {
p.add(kv);
allKVMap.put(kv.getKeyString(), kv);
for (int i = 0; i < numberOfTests; i++) {
if (columnLists[i].contains(column)) {
kvMaps[i].put(kv.getKeyString(), kv);
}
}
}
}
}
region.put(p);
if (Math.random() < flushPercentage) {
LOG.info("Flushing... ");
region.flushcache();
}
if (Math.random() < minorPercentage) {
LOG.info("Minor compacting... ");
region.compactStores(false);
}
if (Math.random() < majorPercentage) {
LOG.info("Major compacting... ");
region.compactStores(true);
}
}
}
for (int i = 0; i < numberOfTests + 1; i++) {
Collection<KeyValue> kvSet;
Scan scan = new Scan();
scan.setMaxVersions();
if (i < numberOfTests) {
kvSet = kvMaps[i].values();
for (String column : columnLists[i]) {
scan.addColumn(familyBytes, Bytes.toBytes(column));
}
LOG.info("ExplicitColumns scanner");
LOG.info("Columns: " + columnLists[i].size() + " Keys: "
+ kvSet.size());
} else {
kvSet = allKVMap.values();
LOG.info("Wildcard scanner");
LOG.info("Columns: " + allColumns.size() + " Keys: " + kvSet.size());
}
InternalScanner scanner = region.getScanner(scan);
List<KeyValue> results = new ArrayList<KeyValue>();
while (scanner.next(results))
;
assertEquals(kvSet.size(), results.size());
assertTrue(KeyValueTestUtil.containsIgnoreMvccVersion(results, kvSet));
}
} finally {
HRegion.closeHRegion(region);
}
HRegion.closeHRegion(region);
}
@SuppressWarnings("unchecked")
@Test
public void testReseeking() throws IOException {
String family = "Family";
byte[] familyBytes = Bytes.toBytes("Family");
String table = "TestSingleVersions";
HTableDescriptor htd = new HTableDescriptor(table);
htd.addFamily(new HColumnDescriptor(family));
HRegionInfo info = new HRegionInfo(Bytes.toBytes(table), null, null, false);
HRegion region =
HRegion.createHRegion(info, TEST_UTIL.getDataTestDir(), TEST_UTIL
.getConfiguration(), htd);
List<String> rows = generateRandomWords(10, "row");
List<String> allColumns = generateRandomWords(100, "column");
long maxTimestamp = 2;
double selectPercent = 0.5;
int numberOfTests = 5;
double flushPercentage = 0.2;
double minorPercentage = 0.2;
double majorPercentage = 0.2;
double putPercentage = 0.2;
HashMap<String, KeyValue> allKVMap = new HashMap<String, KeyValue>();
HashMap<String, KeyValue>[] kvMaps = new HashMap[numberOfTests];
ArrayList<String>[] columnLists = new ArrayList[numberOfTests];
String valueString = "Value";
for (int i = 0; i < numberOfTests; i++) {
kvMaps[i] = new HashMap<String, KeyValue>();
columnLists[i] = new ArrayList<String>();
for (String column : allColumns) {
if (Math.random() < selectPercent) {
columnLists[i].add(column);
}
}
}
for (String row : rows) {
Put p = new Put(Bytes.toBytes(row));
p.setWriteToWAL(false);
for (String column : allColumns) {
for (long timestamp = 1; timestamp <= maxTimestamp; timestamp++) {
KeyValue kv =
KeyValueTestUtil.create(row, family, column, timestamp,
valueString);
if (Math.random() < putPercentage) {
p.add(kv);
allKVMap.put(kv.getKeyString(), kv);
for (int i = 0; i < numberOfTests; i++) {
if (columnLists[i].contains(column)) {
kvMaps[i].put(kv.getKeyString(), kv);
}
}
}
}
}
region.put(p);
if (Math.random() < flushPercentage) {
LOG.info("Flushing... ");
region.flushcache();
}
if (Math.random() < minorPercentage) {
LOG.info("Minor compacting... ");
region.compactStores(false);
}
if (Math.random() < majorPercentage) {
LOG.info("Major compacting... ");
region.compactStores(true);
}
}
for (int i = 0; i < numberOfTests + 1; i++) {
Collection<KeyValue> kvSet;
Scan scan = new Scan();
scan.setMaxVersions();
if (i < numberOfTests) {
kvSet = kvMaps[i].values();
for (String column : columnLists[i]) {
scan.addColumn(familyBytes, Bytes.toBytes(column));
}
LOG.info("ExplicitColumns scanner");
LOG.info("Columns: " + columnLists[i].size() + " Keys: "
+ kvSet.size());
} else {
kvSet = allKVMap.values();
LOG.info("Wildcard scanner");
LOG.info("Columns: " + allColumns.size() + " Keys: " + kvSet.size());
}
InternalScanner scanner = region.getScanner(scan);
List<KeyValue> results = new ArrayList<KeyValue>();
while (scanner.next(results))
;
assertEquals(kvSet.size(), results.size());
assertTrue(KeyValueTestUtil.containsIgnoreMvccVersion(results, kvSet));
}
HRegion.closeHRegion(region);
}
List<String> generateRandomWords(int numberOfWords, String suffix) {
Set<String> wordSet = new HashSet<String>();
for (int i = 0; i < numberOfWords; i++) {
int lengthOfWords = (int) (Math.random() * 5) + 1;
char[] wordChar = new char[lengthOfWords];
for (int j = 0; j < wordChar.length; j++) {
wordChar[j] = (char) (Math.random() * 26 + 97);
}
String word;
if (suffix == null) {
word = new String(wordChar);
} else {
word = new String(wordChar) + suffix;
}
wordSet.add(word);
}
List<String> wordList = new ArrayList<String>(wordSet);
return wordList;
}
}