/* * 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 parquet.avro; import org.apache.avro.Schema; import org.apache.avro.generic.IndexedRecord; import org.apache.hadoop.mapreduce.Job; import parquet.avro.AvroWriteSupport; import parquet.hadoop.ParquetOutputFormat; import parquet.hadoop.util.ContextUtil; /** * A Hadoop {@link org.apache.hadoop.mapreduce.OutputFormat} for Parquet files. */ public class AvroParquetOutputFormat extends ParquetOutputFormat<IndexedRecord> { /** * Set the Avro schema to use for writing. The schema is translated into a Parquet * schema so that the records can be written in Parquet format. It is also * stored in the Parquet metadata so that records can be reconstructed as Avro * objects at read time without specifying a read schema. * @param job * @param schema * @see parquet.avro.AvroParquetInputFormat#setAvroReadSchema(org.apache.hadoop.mapreduce.Job, org.apache.avro.Schema) */ public static void setSchema(Job job, Schema schema) { AvroWriteSupport.setSchema(ContextUtil.getConfiguration(job), schema); } public AvroParquetOutputFormat() { super(new AvroWriteSupport()); } }