/**
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* 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
* limitations under the License.
*/
package org.apache.hadoop.hbase.mapreduce;
import static java.lang.String.format;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertFalse;
import static org.junit.Assert.assertTrue;
import java.io.IOException;
import java.util.Arrays;
import java.util.HashMap;
import java.util.Iterator;
import java.util.Map;
import java.util.Set;
import java.util.TreeSet;
import java.util.UUID;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.CellComparator;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.IntegrationTestingUtility;
import org.apache.hadoop.hbase.testclassification.IntegrationTests;
import org.apache.hadoop.hbase.KeyValue;
import org.apache.hadoop.hbase.KeyValue.Type;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.client.Table;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.mapreduce.lib.partition.TotalOrderPartitioner;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import org.junit.AfterClass;
import org.junit.BeforeClass;
import org.junit.Rule;
import org.junit.Test;
import org.junit.experimental.categories.Category;
import org.junit.rules.TestName;
/**
* Validate ImportTsv + LoadIncrementalHFiles on a distributed cluster.
*/
@Category(IntegrationTests.class)
public class IntegrationTestImportTsv extends Configured implements Tool {
private static final String NAME = IntegrationTestImportTsv.class.getSimpleName();
private static final Log LOG = LogFactory.getLog(IntegrationTestImportTsv.class);
protected static final String simple_tsv =
"row1\t1\tc1\tc2\n" +
"row2\t1\tc1\tc2\n" +
"row3\t1\tc1\tc2\n" +
"row4\t1\tc1\tc2\n" +
"row5\t1\tc1\tc2\n" +
"row6\t1\tc1\tc2\n" +
"row7\t1\tc1\tc2\n" +
"row8\t1\tc1\tc2\n" +
"row9\t1\tc1\tc2\n" +
"row10\t1\tc1\tc2\n";
@Rule
public TestName name = new TestName();
protected static final Set<KeyValue> simple_expected =
new TreeSet<KeyValue>(CellComparator.COMPARATOR) {
private static final long serialVersionUID = 1L;
{
byte[] family = Bytes.toBytes("d");
for (String line : simple_tsv.split("\n")) {
String[] row = line.split("\t");
byte[] key = Bytes.toBytes(row[0]);
long ts = Long.parseLong(row[1]);
byte[][] fields = { Bytes.toBytes(row[2]), Bytes.toBytes(row[3]) };
add(new KeyValue(key, family, fields[0], ts, Type.Put, fields[0]));
add(new KeyValue(key, family, fields[1], ts, Type.Put, fields[1]));
}
}
};
// this instance is initialized on first access when the test is run from
// JUnit/Maven or by main when run from the CLI.
protected static IntegrationTestingUtility util = null;
public Configuration getConf() {
return util.getConfiguration();
}
public void setConf(Configuration conf) {
LOG.debug("Ignoring setConf call.");
}
@BeforeClass
public static void provisionCluster() throws Exception {
if (null == util) {
util = new IntegrationTestingUtility();
}
util.initializeCluster(1);
if (!util.isDistributedCluster()) {
// also need MR when running without a real cluster
util.startMiniMapReduceCluster();
}
}
@AfterClass
public static void releaseCluster() throws Exception {
util.restoreCluster();
if (!util.isDistributedCluster()) {
util.shutdownMiniMapReduceCluster();
}
util = null;
}
/**
* Verify the data described by <code>simple_tsv</code> matches
* <code>simple_expected</code>.
*/
protected void doLoadIncrementalHFiles(Path hfiles, TableName tableName)
throws Exception {
String[] args = { hfiles.toString(), tableName.getNameAsString() };
LOG.info(format("Running LoadIncrememntalHFiles with args: %s", Arrays.asList(args)));
assertEquals("Loading HFiles failed.",
0, ToolRunner.run(new LoadIncrementalHFiles(new Configuration(getConf())), args));
Table table = null;
Scan scan = new Scan() {{
setCacheBlocks(false);
setCaching(1000);
}};
try {
table = util.getConnection().getTable(tableName);
Iterator<Result> resultsIt = table.getScanner(scan).iterator();
Iterator<KeyValue> expectedIt = simple_expected.iterator();
while (resultsIt.hasNext() && expectedIt.hasNext()) {
Result r = resultsIt.next();
for (Cell actual : r.rawCells()) {
assertTrue(
"Ran out of expected values prematurely!",
expectedIt.hasNext());
KeyValue expected = expectedIt.next();
assertTrue(
format("Scan produced surprising result. expected: <%s>, actual: %s",
expected, actual),
CellComparator.COMPARATOR.compare(expected, actual) == 0);
}
}
assertFalse("Did not consume all expected values.", expectedIt.hasNext());
assertFalse("Did not consume all scan results.", resultsIt.hasNext());
} finally {
if (null != table) table.close();
}
}
/**
* Confirm the absence of the {@link TotalOrderPartitioner} partitions file.
*/
protected static void validateDeletedPartitionsFile(Configuration conf) throws IOException {
if (!conf.getBoolean(IntegrationTestingUtility.IS_DISTRIBUTED_CLUSTER, false))
return;
FileSystem fs = FileSystem.get(conf);
Path partitionsFile = new Path(TotalOrderPartitioner.getPartitionFile(conf));
assertFalse("Failed to clean up partitions file.", fs.exists(partitionsFile));
}
@Test
public void testGenerateAndLoad() throws Exception {
LOG.info("Running test testGenerateAndLoad.");
final TableName table = TableName.valueOf(name.getMethodName());
String cf = "d";
Path hfiles = new Path(
util.getDataTestDirOnTestFS(table.getNameAsString()), "hfiles");
Map<String, String> args = new HashMap<>();
args.put(ImportTsv.BULK_OUTPUT_CONF_KEY, hfiles.toString());
args.put(ImportTsv.COLUMNS_CONF_KEY,
format("HBASE_ROW_KEY,HBASE_TS_KEY,%s:c1,%s:c2", cf, cf));
// configure the test harness to NOT delete the HFiles after they're
// generated. We need those for doLoadIncrementalHFiles
args.put(TestImportTsv.DELETE_AFTER_LOAD_CONF, "false");
// run the job, complete the load.
util.createTable(table, new String[]{cf});
Tool t = TestImportTsv.doMROnTableTest(util, table, cf, simple_tsv, args);
doLoadIncrementalHFiles(hfiles, table);
// validate post-conditions
validateDeletedPartitionsFile(t.getConf());
// clean up after ourselves.
util.deleteTable(table);
util.cleanupDataTestDirOnTestFS(table.getNameAsString());
LOG.info("testGenerateAndLoad completed successfully.");
}
public int run(String[] args) throws Exception {
if (args.length != 0) {
System.err.println(format("%s [genericOptions]", NAME));
System.err.println(" Runs ImportTsv integration tests against a distributed cluster.");
System.err.println();
ToolRunner.printGenericCommandUsage(System.err);
return 1;
}
// adding more test methods? Don't forget to add them here... or consider doing what
// IntegrationTestsDriver does.
provisionCluster();
testGenerateAndLoad();
releaseCluster();
return 0;
}
public static void main(String[] args) throws Exception {
Configuration conf = HBaseConfiguration.create();
IntegrationTestingUtility.setUseDistributedCluster(conf);
util = new IntegrationTestingUtility(conf);
int status = ToolRunner.run(conf, new IntegrationTestImportTsv(), args);
System.exit(status);
}
}