/**
* 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.hcatalog.mapreduce;
import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import junit.framework.Assert;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FSDataOutputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.LocalFileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.metastore.MetaStoreUtils;
import org.apache.hadoop.hive.metastore.api.FieldSchema;
import org.apache.hadoop.hive.metastore.api.SerDeInfo;
import org.apache.hadoop.hive.metastore.api.StorageDescriptor;
import org.apache.hadoop.hive.metastore.api.Table;
import org.apache.hadoop.hive.ql.io.RCFileInputFormat;
import org.apache.hadoop.hive.ql.io.RCFileOutputFormat;
import org.apache.hadoop.hive.serde.serdeConstants;
import org.apache.hadoop.hive.serde2.columnar.ColumnarSerDe;
import org.apache.hadoop.io.BytesWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.WritableComparable;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.JobStatus;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
import org.apache.hcatalog.HcatTestUtils;
import org.apache.hcatalog.common.HCatConstants;
import org.apache.hcatalog.common.HCatUtil;
import org.apache.hcatalog.data.DefaultHCatRecord;
import org.apache.hcatalog.data.HCatRecord;
import org.apache.hcatalog.data.schema.HCatFieldSchema;
import org.apache.hcatalog.data.schema.HCatSchema;
import org.junit.After;
import org.junit.Before;
import org.junit.BeforeClass;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import static org.junit.Assert.assertTrue;
/**
* Test for HCatOutputFormat. Writes a partition using HCatOutputFormat and reads
* it back using HCatInputFormat, checks the column values and counts.
*/
public abstract class HCatMapReduceTest extends HCatBaseTest {
private static final Logger LOG = LoggerFactory.getLogger(HCatMapReduceTest.class);
protected static String dbName = MetaStoreUtils.DEFAULT_DATABASE_NAME;
protected static String tableName = "testHCatMapReduceTable";
protected String inputFormat = RCFileInputFormat.class.getName();
protected String outputFormat = RCFileOutputFormat.class.getName();
protected String serdeClass = ColumnarSerDe.class.getName();
private static List<HCatRecord> writeRecords = new ArrayList<HCatRecord>();
private static List<HCatRecord> readRecords = new ArrayList<HCatRecord>();
protected abstract List<FieldSchema> getPartitionKeys();
protected abstract List<FieldSchema> getTableColumns();
private static FileSystem fs;
@BeforeClass
public static void setUpOneTime() throws Exception {
fs = new LocalFileSystem();
fs.initialize(fs.getWorkingDirectory().toUri(), new Configuration());
HiveConf hiveConf = new HiveConf();
hiveConf.setInt(HCatConstants.HCAT_HIVE_CLIENT_EXPIRY_TIME, 0);
// Hack to initialize cache with 0 expiry time causing it to return a new hive client every time
// Otherwise the cache doesn't play well with the second test method with the client gets closed() in the
// tearDown() of the previous test
HCatUtil.getHiveClient(hiveConf);
MapCreate.writeCount = 0;
MapRead.readCount = 0;
}
@After
public void deleteTable() throws Exception {
try {
String databaseName = (dbName == null) ? MetaStoreUtils.DEFAULT_DATABASE_NAME : dbName;
client.dropTable(databaseName, tableName);
} catch (Exception e) {
e.printStackTrace();
throw e;
}
}
@Before
public void createTable() throws Exception {
String databaseName = (dbName == null) ? MetaStoreUtils.DEFAULT_DATABASE_NAME : dbName;
try {
client.dropTable(databaseName, tableName);
} catch (Exception e) {
} //can fail with NoSuchObjectException
Table tbl = new Table();
tbl.setDbName(databaseName);
tbl.setTableName(tableName);
tbl.setTableType("MANAGED_TABLE");
StorageDescriptor sd = new StorageDescriptor();
sd.setCols(getTableColumns());
tbl.setPartitionKeys(getPartitionKeys());
tbl.setSd(sd);
sd.setBucketCols(new ArrayList<String>(2));
sd.setSerdeInfo(new SerDeInfo());
sd.getSerdeInfo().setName(tbl.getTableName());
sd.getSerdeInfo().setParameters(new HashMap<String, String>());
sd.getSerdeInfo().getParameters().put(serdeConstants.SERIALIZATION_FORMAT, "1");
sd.getSerdeInfo().setSerializationLib(serdeClass);
sd.setInputFormat(inputFormat);
sd.setOutputFormat(outputFormat);
Map<String, String> tableParams = new HashMap<String, String>();
tbl.setParameters(tableParams);
client.createTable(tbl);
}
//Create test input file with specified number of rows
private void createInputFile(Path path, int rowCount) throws IOException {
if (fs.exists(path)) {
fs.delete(path, true);
}
FSDataOutputStream os = fs.create(path);
for (int i = 0; i < rowCount; i++) {
os.writeChars(i + "\n");
}
os.close();
}
public static class MapCreate extends
Mapper<LongWritable, Text, BytesWritable, HCatRecord> {
static int writeCount = 0; //test will be in local mode
@Override
public void map(LongWritable key, Text value, Context context
) throws IOException, InterruptedException {
{
try {
HCatRecord rec = writeRecords.get(writeCount);
context.write(null, rec);
writeCount++;
} catch (Exception e) {
e.printStackTrace(System.err); //print since otherwise exception is lost
throw new IOException(e);
}
}
}
}
public static class MapRead extends
Mapper<WritableComparable, HCatRecord, BytesWritable, Text> {
static int readCount = 0; //test will be in local mode
@Override
public void map(WritableComparable key, HCatRecord value, Context context
) throws IOException, InterruptedException {
{
try {
readRecords.add(value);
readCount++;
} catch (Exception e) {
e.printStackTrace(); //print since otherwise exception is lost
throw new IOException(e);
}
}
}
}
Job runMRCreate(Map<String, String> partitionValues,
List<HCatFieldSchema> partitionColumns, List<HCatRecord> records,
int writeCount, boolean assertWrite) throws Exception {
return runMRCreate(partitionValues, partitionColumns, records, writeCount, assertWrite, true);
}
/**
* Run a local map reduce job to load data from in memory records to an HCatalog Table
* @param partitionValues
* @param partitionColumns
* @param records data to be written to HCatalog table
* @param writeCount
* @param assertWrite
* @param asSingleMapTask
* @return
* @throws Exception
*/
Job runMRCreate(Map<String, String> partitionValues,
List<HCatFieldSchema> partitionColumns, List<HCatRecord> records,
int writeCount, boolean assertWrite, boolean asSingleMapTask) throws Exception {
writeRecords = records;
MapCreate.writeCount = 0;
Configuration conf = new Configuration();
Job job = new Job(conf, "hcat mapreduce write test");
job.setJarByClass(this.getClass());
job.setMapperClass(HCatMapReduceTest.MapCreate.class);
// input/output settings
job.setInputFormatClass(TextInputFormat.class);
if (asSingleMapTask) {
// One input path would mean only one map task
Path path = new Path(fs.getWorkingDirectory(), "mapred/testHCatMapReduceInput");
createInputFile(path, writeCount);
TextInputFormat.setInputPaths(job, path);
} else {
// Create two input paths so that two map tasks get triggered. There could be other ways
// to trigger two map tasks.
Path path = new Path(fs.getWorkingDirectory(), "mapred/testHCatMapReduceInput");
createInputFile(path, writeCount / 2);
Path path2 = new Path(fs.getWorkingDirectory(), "mapred/testHCatMapReduceInput2");
createInputFile(path2, (writeCount - writeCount / 2));
TextInputFormat.setInputPaths(job, path, path2);
}
job.setOutputFormatClass(HCatOutputFormat.class);
OutputJobInfo outputJobInfo = OutputJobInfo.create(dbName, tableName, partitionValues);
HCatOutputFormat.setOutput(job, outputJobInfo);
job.setMapOutputKeyClass(BytesWritable.class);
job.setMapOutputValueClass(DefaultHCatRecord.class);
job.setNumReduceTasks(0);
HCatOutputFormat.setSchema(job, new HCatSchema(partitionColumns));
boolean success = job.waitForCompletion(true);
// Ensure counters are set when data has actually been read.
if (partitionValues != null) {
assertTrue(job.getCounters().getGroup("FileSystemCounters")
.findCounter("FILE_BYTES_READ").getValue() > 0);
}
if (!HcatTestUtils.isHadoop23()) {
// Local mode outputcommitter hook is not invoked in Hadoop 1.x
if (success) {
new FileOutputCommitterContainer(job, null).commitJob(job);
} else {
new FileOutputCommitterContainer(job, null).abortJob(job, JobStatus.State.FAILED);
}
}
if (assertWrite) {
// we assert only if we expected to assert with this call.
Assert.assertEquals(writeCount, MapCreate.writeCount);
}
return job;
}
List<HCatRecord> runMRRead(int readCount) throws Exception {
return runMRRead(readCount, null);
}
/**
* Run a local map reduce job to read records from HCatalog table and verify if the count is as expected
* @param readCount
* @param filter
* @return
* @throws Exception
*/
List<HCatRecord> runMRRead(int readCount, String filter) throws Exception {
MapRead.readCount = 0;
readRecords.clear();
Configuration conf = new Configuration();
Job job = new Job(conf, "hcat mapreduce read test");
job.setJarByClass(this.getClass());
job.setMapperClass(HCatMapReduceTest.MapRead.class);
// input/output settings
job.setInputFormatClass(HCatInputFormat.class);
job.setOutputFormatClass(TextOutputFormat.class);
HCatInputFormat.setInput(job, dbName, tableName).setFilter(filter);
job.setMapOutputKeyClass(BytesWritable.class);
job.setMapOutputValueClass(Text.class);
job.setNumReduceTasks(0);
Path path = new Path(fs.getWorkingDirectory(), "mapred/testHCatMapReduceOutput");
if (fs.exists(path)) {
fs.delete(path, true);
}
TextOutputFormat.setOutputPath(job, path);
job.waitForCompletion(true);
Assert.assertEquals(readCount, MapRead.readCount);
return readRecords;
}
protected HCatSchema getTableSchema() throws Exception {
Configuration conf = new Configuration();
Job job = new Job(conf, "hcat mapreduce read schema test");
job.setJarByClass(this.getClass());
// input/output settings
job.setInputFormatClass(HCatInputFormat.class);
job.setOutputFormatClass(TextOutputFormat.class);
HCatInputFormat.setInput(job, dbName, tableName);
return HCatInputFormat.getTableSchema(job);
}
}