/**
* 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.hive.hcatalog.utils;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.WritableComparable;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.util.GenericOptionsParser;
import org.apache.hive.hcatalog.common.HCatConstants;
import org.apache.hive.hcatalog.data.DefaultHCatRecord;
import org.apache.hive.hcatalog.data.HCatRecord;
import org.apache.hive.hcatalog.data.schema.HCatSchema;
import org.apache.hive.hcatalog.mapreduce.HCatInputFormat;
import org.apache.hive.hcatalog.mapreduce.HCatOutputFormat;
import org.apache.hive.hcatalog.mapreduce.OutputJobInfo;
/**
* This is a map reduce test for testing hcat which goes against the "numbers"
* table and writes data to another table. It reads data from numbers which
* is an unpartitioned table and adds 10 to each field. It stores the result into
* the datestamp='20100101' partition of the numbers_part_empty_initially table if the second
* command line arg is "part". If the second cmdline arg is "nopart" then the
* result is stored into the 'numbers_nopart_empty_initially' (unpartitioned) table.
* If the second cmdline arg is "nopart_pig", then the result is stored into the
* 'numbers_nopart_pig_empty_initially' (unpartitioned) table with the tinyint
* and smallint columns in "numbers" being stored as "int" (since pig cannot handle
* tinyint and smallint)
*
* Usage: hadoop jar storenumbers <serveruri> <part|nopart|nopart_pig> <-libjars hive-hcat jar>
If the second argument is "part" data is written to datestamp = '2010101' partition of the numbers_part_empty_initially table.
If the second argument is "nopart", data is written to the unpartitioned numbers_nopart_empty_initially table.
If the second argument is "nopart_pig", data is written to the unpartitioned numbers_nopart_pig_empty_initially table.
The hcat jar location should be specified as file://<full path to jar>
*/
public class StoreDemo {
private static final String NUMBERS_PARTITIONED_TABLE_NAME = "demo_partitioned";
private static final String NUMBERS_TABLE_NAME = "demo";
public static class SumMapper
extends Mapper<WritableComparable, HCatRecord, WritableComparable, HCatRecord> {
Integer intnum;
Double doublenum;
@Override
protected void map(WritableComparable key, HCatRecord value,
org.apache.hadoop.mapreduce.Mapper<WritableComparable, HCatRecord,
WritableComparable, HCatRecord>.Context context)
throws IOException, InterruptedException {
intnum = ((Integer) value.get(0));
value.set(0, intnum + 20);
doublenum = ((Double) value.get(1));
value.set(1, (Double) (doublenum + 20));
context.write(new IntWritable(0), value);
}
}
public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
args = new GenericOptionsParser(conf, args).getRemainingArgs();
String[] otherArgs = new String[1];
int j = 0;
for (int i = 0; i < args.length; i++) {
if (args[i].equals("-libjars")) {
// generic options parser doesn't seem to work!
conf.set("tmpjars", args[i + 1]);
i = i + 1; // skip it , the for loop will skip its value
} else {
otherArgs[j++] = args[i];
}
}
if (otherArgs.length != 1) {
usage();
}
String serverUri = otherArgs[0];
String tableName = NUMBERS_TABLE_NAME;
String dbName = "default";
Map<String, String> outputPartitionKvps = new HashMap<String, String>();
String outputTableName = NUMBERS_PARTITIONED_TABLE_NAME;
outputPartitionKvps.put("datestamp", "20100102");
String principalID = System.getProperty(HCatConstants.HCAT_METASTORE_PRINCIPAL);
if (principalID != null)
conf.set(HCatConstants.HCAT_METASTORE_PRINCIPAL, principalID);
Job job = new Job(conf, "storedemo");
// initialize HCatInputFormat
HCatInputFormat.setInput(job,
dbName, tableName);
// initialize HCatOutputFormat
HCatOutputFormat.setOutput(job, OutputJobInfo.create(
dbName, outputTableName, outputPartitionKvps));
// test with and without specifying schema randomly
HCatSchema s = HCatInputFormat.getTableSchema(job);
System.err.println("INFO: output schema explicitly set for writing:" + s);
HCatOutputFormat.setSchema(job, s);
job.setInputFormatClass(HCatInputFormat.class);
job.setOutputFormatClass(HCatOutputFormat.class);
job.setJarByClass(StoreDemo.class);
job.setMapperClass(SumMapper.class);
job.setOutputKeyClass(IntWritable.class);
job.setNumReduceTasks(0);
job.setOutputValueClass(DefaultHCatRecord.class);
System.exit(job.waitForCompletion(true) ? 0 : 1);
}
/**
*
*/
private static void usage() {
System.err.println("Usage: hadoop jar storenumbers <serveruri> <part|nopart|nopart_pig> <-libjars hive-hcat jar>\n" +
"\tIf the second argument is \"part\" data is written to datestamp = '2010101' partition of " +
"the numbers_part_empty_initially table.\n\tIf the second argument is \"nopart\", data is written to " +
"the unpartitioned numbers_nopart_empty_initially table.\n\tIf the second argument is \"nopart_pig\", " +
"data is written to the unpartitioned numbers_nopart_pig_empty_initially table.\nt" +
"The hcat jar location should be specified as file://<full path to jar>\n");
System.exit(2);
}
}