parquet.hadoop.example.ExampleOutputFormat Maven / Gradle / Ivy
/**
* Copyright 2012 Twitter, Inc.
*
* Licensed 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 parquet.hadoop.example;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.mapreduce.Job;
import parquet.example.data.Group;
import parquet.hadoop.ParquetOutputFormat;
import parquet.hadoop.util.ContextUtil;
import parquet.schema.MessageType;
/**
* An example output format
*
* must be provided the schema up front
* @see ExampleOutputFormat#setSchema(Configuration, MessageType)
* @see GroupWriteSupport#PARQUET_EXAMPLE_SCHEMA
*
* @author Julien Le Dem
*
*/
public class ExampleOutputFormat extends ParquetOutputFormat {
/**
* set the schema being written to the job conf
* @param schema the schema of the data
* @param configuration the job configuration
*/
public static void setSchema(Job job, MessageType schema) {
GroupWriteSupport.setSchema(schema, ContextUtil.getConfiguration(job));
}
/**
* retrieve the schema from the conf
* @param configuration the job conf
* @return the schema
*/
public static MessageType getSchema(Job job) {
return GroupWriteSupport.getSchema(ContextUtil.getConfiguration(job));
}
public ExampleOutputFormat() {
super(new GroupWriteSupport());
}
}