/**
* 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.File;
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.Path;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.metastore.HiveMetaStoreClient;
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.hive.shims.ShimLoader;
import org.apache.hadoop.io.BytesWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.MiniMRCluster;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
import org.apache.hcatalog.NoExitSecurityManager;
import org.apache.hcatalog.cli.SemanticAnalysis.HCatSemanticAnalyzer;
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.apache.hcatalog.data.schema.HCatSchemaUtils;
import org.junit.AfterClass;
import org.junit.BeforeClass;
import org.junit.Test;
/**
* @deprecated Use/modify {@link org.apache.hive.hcatalog.mapreduce.TestHCatPartitionPublish} instead
*/
public class TestHCatPartitionPublish {
private static Configuration mrConf = null;
private static FileSystem fs = null;
private static MiniMRCluster mrCluster = null;
private static boolean isServerRunning = false;
private static final int msPort = 20101;
private static HiveConf hcatConf;
private static HiveMetaStoreClient msc;
private static SecurityManager securityManager;
@BeforeClass
public static void setup() throws Exception {
Configuration conf = new Configuration(true);
conf.set("yarn.scheduler.capacity.root.queues", "default");
conf.set("yarn.scheduler.capacity.root.default.capacity", "100");
fs = FileSystem.get(conf);
System.setProperty("hadoop.log.dir", new File(fs.getWorkingDirectory()
.toString(), "/logs").getAbsolutePath());
// LocalJobRunner does not work with mapreduce OutputCommitter. So need
// to use MiniMRCluster. MAPREDUCE-2350
mrCluster = new MiniMRCluster(1, fs.getUri().toString(), 1, null, null,
new JobConf(conf));
mrConf = mrCluster.createJobConf();
if (isServerRunning) {
return;
}
MetaStoreUtils.startMetaStore(msPort, ShimLoader
.getHadoopThriftAuthBridge());
isServerRunning = true;
securityManager = System.getSecurityManager();
System.setSecurityManager(new NoExitSecurityManager());
hcatConf = new HiveConf(TestHCatPartitionPublish.class);
hcatConf.set("hive.metastore.local", "false");
hcatConf.setVar(HiveConf.ConfVars.METASTOREURIS, "thrift://localhost:"
+ msPort);
hcatConf.setIntVar(HiveConf.ConfVars.METASTORETHRIFTCONNECTIONRETRIES, 3);
hcatConf.setIntVar(HiveConf.ConfVars.METASTORETHRIFTFAILURERETRIES, 3);
hcatConf.set(HiveConf.ConfVars.SEMANTIC_ANALYZER_HOOK.varname,
HCatSemanticAnalyzer.class.getName());
hcatConf.set(HiveConf.ConfVars.PREEXECHOOKS.varname, "");
hcatConf.set(HiveConf.ConfVars.POSTEXECHOOKS.varname, "");
hcatConf.set(HiveConf.ConfVars.HIVE_SUPPORT_CONCURRENCY.varname,
"false");
msc = new HiveMetaStoreClient(hcatConf, null);
System.setProperty(HiveConf.ConfVars.PREEXECHOOKS.varname, " ");
System.setProperty(HiveConf.ConfVars.POSTEXECHOOKS.varname, " ");
}
@AfterClass
public static void tearDown() throws IOException {
if (mrCluster != null) {
mrCluster.shutdown();
}
System.setSecurityManager(securityManager);
isServerRunning = false;
}
@Test
public void testPartitionPublish() throws Exception {
String dbName = "default";
String tableName = "testHCatPartitionedTable";
createTable(null, tableName);
Map<String, String> partitionMap = new HashMap<String, String>();
partitionMap.put("part1", "p1value1");
partitionMap.put("part0", "p0value1");
ArrayList<HCatFieldSchema> hcatTableColumns = new ArrayList<HCatFieldSchema>();
for (FieldSchema fs : getTableColumns()) {
hcatTableColumns.add(HCatSchemaUtils.getHCatFieldSchema(fs));
}
runMRCreateFail(dbName, tableName, partitionMap, hcatTableColumns);
List<String> ptns = msc.listPartitionNames(dbName, tableName,
(short) 10);
Assert.assertEquals(0, ptns.size());
Table table = msc.getTable(dbName, tableName);
Assert.assertTrue(table != null);
// Also make sure that the directory has been deleted in the table
// location.
Assert.assertFalse(fs.exists(new Path(table.getSd().getLocation()
+ "/part1=p1value1/part0=p0value1")));
}
void runMRCreateFail(
String dbName, String tableName, Map<String, String> partitionValues,
List<HCatFieldSchema> columns) throws Exception {
Job job = new Job(mrConf, "hcat mapreduce write fail test");
job.setJarByClass(this.getClass());
job.setMapperClass(TestHCatPartitionPublish.MapFail.class);
// input/output settings
job.setInputFormatClass(TextInputFormat.class);
Path path = new Path(fs.getWorkingDirectory(),
"mapred/testHCatMapReduceInput");
// The write count does not matter, as the map will fail in its first
// call.
createInputFile(path, 5);
TextInputFormat.setInputPaths(job, path);
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(columns));
boolean success = job.waitForCompletion(true);
Assert.assertTrue(success == false);
}
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 MapFail extends
Mapper<LongWritable, Text, BytesWritable, HCatRecord> {
@Override
public void map(LongWritable key, Text value, Context context)
throws IOException, InterruptedException {
{
throw new IOException("Exception to mimic job failure.");
}
}
}
private void createTable(String dbName, String tableName) throws Exception {
String databaseName = (dbName == null) ? MetaStoreUtils.DEFAULT_DATABASE_NAME
: dbName;
try {
msc.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(ColumnarSerDe.class.getName());
sd.setInputFormat(RCFileInputFormat.class.getName());
sd.setOutputFormat(RCFileOutputFormat.class.getName());
Map<String, String> tableParams = new HashMap<String, String>();
tbl.setParameters(tableParams);
msc.createTable(tbl);
}
protected List<FieldSchema> getPartitionKeys() {
List<FieldSchema> fields = new ArrayList<FieldSchema>();
// Defining partition names in unsorted order
fields.add(new FieldSchema("PaRT1", serdeConstants.STRING_TYPE_NAME, ""));
fields.add(new FieldSchema("part0", serdeConstants.STRING_TYPE_NAME, ""));
return fields;
}
protected List<FieldSchema> getTableColumns() {
List<FieldSchema> fields = new ArrayList<FieldSchema>();
fields.add(new FieldSchema("c1", serdeConstants.INT_TYPE_NAME, ""));
fields.add(new FieldSchema("c2", serdeConstants.STRING_TYPE_NAME, ""));
return fields;
}
}