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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,
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* See the License for the specific language governing permissions and
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package org.apache.hadoop.hbase.filter;
import static org.junit.Assert.*;
import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;
import org.apache.hadoop.hbase.*;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.regionserver.HRegion;
import org.apache.hadoop.hbase.regionserver.InternalScanner;
import org.apache.hadoop.hbase.util.Bytes;
import org.junit.Test;
import org.junit.experimental.categories.Category;
@Category(SmallTests.class)
public class TestMultipleColumnPrefixFilter {
private final static HBaseTestingUtility TEST_UTIL = new
HBaseTestingUtility();
@Test
public void testMultipleColumnPrefixFilter() throws IOException {
String family = "Family";
HTableDescriptor htd = new HTableDescriptor("TestMultipleColumnPrefixFilter");
htd.addFamily(new HColumnDescriptor(family));
// HRegionInfo info = new HRegionInfo(htd, null, null, false);
HRegionInfo info = new HRegionInfo(htd.getName(), null, null, false);
HRegion region = HRegion.createHRegion(info, TEST_UTIL.
getDataTestDir(), TEST_UTIL.getConfiguration(), htd);
List<String> rows = generateRandomWords(100, "row");
List<String> columns = generateRandomWords(10000, "column");
long maxTimestamp = 2;
List<KeyValue> kvList = new ArrayList<KeyValue>();
Map<String, List<KeyValue>> prefixMap = new HashMap<String,
List<KeyValue>>();
prefixMap.put("p", new ArrayList<KeyValue>());
prefixMap.put("q", new ArrayList<KeyValue>());
prefixMap.put("s", new ArrayList<KeyValue>());
String valueString = "ValueString";
for (String row: rows) {
Put p = new Put(Bytes.toBytes(row));
p.setWriteToWAL(false);
for (String column: columns) {
for (long timestamp = 1; timestamp <= maxTimestamp; timestamp++) {
KeyValue kv = KeyValueTestUtil.create(row, family, column, timestamp,
valueString);
p.add(kv);
kvList.add(kv);
for (String s: prefixMap.keySet()) {
if (column.startsWith(s)) {
prefixMap.get(s).add(kv);
}
}
}
}
region.put(p);
}
MultipleColumnPrefixFilter filter;
Scan scan = new Scan();
scan.setMaxVersions();
byte [][] filter_prefix = new byte [2][];
filter_prefix[0] = new byte [] {'p'};
filter_prefix[1] = new byte [] {'q'};
filter = new MultipleColumnPrefixFilter(filter_prefix);
scan.setFilter(filter);
List<KeyValue> results = new ArrayList<KeyValue>();
InternalScanner scanner = region.getScanner(scan);
while(scanner.next(results));
assertEquals(prefixMap.get("p").size() + prefixMap.get("q").size(), results.size());
region.close();
region.getLog().closeAndDelete();
}
@Test
public void testMultipleColumnPrefixFilterWithManyFamilies() throws IOException {
String family1 = "Family1";
String family2 = "Family2";
HTableDescriptor htd = new HTableDescriptor("TestMultipleColumnPrefixFilter");
htd.addFamily(new HColumnDescriptor(family1));
htd.addFamily(new HColumnDescriptor(family2));
HRegionInfo info = new HRegionInfo(htd.getName(), null, null, false);
HRegion region = HRegion.createHRegion(info, TEST_UTIL.
getDataTestDir(), TEST_UTIL.getConfiguration(), htd);
List<String> rows = generateRandomWords(100, "row");
List<String> columns = generateRandomWords(10000, "column");
long maxTimestamp = 3;
List<KeyValue> kvList = new ArrayList<KeyValue>();
Map<String, List<KeyValue>> prefixMap = new HashMap<String,
List<KeyValue>>();
prefixMap.put("p", new ArrayList<KeyValue>());
prefixMap.put("q", new ArrayList<KeyValue>());
prefixMap.put("s", new ArrayList<KeyValue>());
String valueString = "ValueString";
for (String row: rows) {
Put p = new Put(Bytes.toBytes(row));
p.setWriteToWAL(false);
for (String column: columns) {
for (long timestamp = 1; timestamp <= maxTimestamp; timestamp++) {
double rand = Math.random();
KeyValue kv;
if (rand < 0.5)
kv = KeyValueTestUtil.create(row, family1, column, timestamp,
valueString);
else
kv = KeyValueTestUtil.create(row, family2, column, timestamp,
valueString);
p.add(kv);
kvList.add(kv);
for (String s: prefixMap.keySet()) {
if (column.startsWith(s)) {
prefixMap.get(s).add(kv);
}
}
}
}
region.put(p);
}
MultipleColumnPrefixFilter filter;
Scan scan = new Scan();
scan.setMaxVersions();
byte [][] filter_prefix = new byte [2][];
filter_prefix[0] = new byte [] {'p'};
filter_prefix[1] = new byte [] {'q'};
filter = new MultipleColumnPrefixFilter(filter_prefix);
scan.setFilter(filter);
List<KeyValue> results = new ArrayList<KeyValue>();
InternalScanner scanner = region.getScanner(scan);
while(scanner.next(results));
assertEquals(prefixMap.get("p").size() + prefixMap.get("q").size(), results.size());
region.close();
region.getLog().closeAndDelete();
}
@Test
public void testMultipleColumnPrefixFilterWithColumnPrefixFilter() throws IOException {
String family = "Family";
HTableDescriptor htd = new HTableDescriptor("TestMultipleColumnPrefixFilter");
htd.addFamily(new HColumnDescriptor(family));
HRegionInfo info = new HRegionInfo(htd.getName(), null, null, false);
HRegion region = HRegion.createHRegion(info, TEST_UTIL.
getDataTestDir(), TEST_UTIL.getConfiguration(),htd);
List<String> rows = generateRandomWords(100, "row");
List<String> columns = generateRandomWords(10000, "column");
long maxTimestamp = 2;
String valueString = "ValueString";
for (String row: rows) {
Put p = new Put(Bytes.toBytes(row));
p.setWriteToWAL(false);
for (String column: columns) {
for (long timestamp = 1; timestamp <= maxTimestamp; timestamp++) {
KeyValue kv = KeyValueTestUtil.create(row, family, column, timestamp,
valueString);
p.add(kv);
}
}
region.put(p);
}
MultipleColumnPrefixFilter multiplePrefixFilter;
Scan scan1 = new Scan();
scan1.setMaxVersions();
byte [][] filter_prefix = new byte [1][];
filter_prefix[0] = new byte [] {'p'};
multiplePrefixFilter = new MultipleColumnPrefixFilter(filter_prefix);
scan1.setFilter(multiplePrefixFilter);
List<KeyValue> results1 = new ArrayList<KeyValue>();
InternalScanner scanner1 = region.getScanner(scan1);
while(scanner1.next(results1));
ColumnPrefixFilter singlePrefixFilter;
Scan scan2 = new Scan();
scan2.setMaxVersions();
singlePrefixFilter = new ColumnPrefixFilter(Bytes.toBytes("p"));
scan2.setFilter(singlePrefixFilter);
List<KeyValue> results2 = new ArrayList<KeyValue>();
InternalScanner scanner2 = region.getScanner(scan1);
while(scanner2.next(results2));
assertEquals(results1.size(), results2.size());
region.close();
region.getLog().closeAndDelete();
}
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()*2) + 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;
}
@org.junit.Rule
public org.apache.hadoop.hbase.ResourceCheckerJUnitRule cu =
new org.apache.hadoop.hbase.ResourceCheckerJUnitRule();
}