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/*
* 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.parquet.hadoop;
import java.io.IOException;
import java.util.Map;
import java.util.Objects;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.mapreduce.RecordWriter;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
import org.apache.parquet.column.ParquetProperties;
import org.apache.parquet.column.ParquetProperties.WriterVersion;
import org.apache.parquet.hadoop.CodecFactory.BytesCompressor;
import org.apache.parquet.hadoop.api.WriteSupport;
import org.apache.parquet.hadoop.metadata.CompressionCodecName;
import org.apache.parquet.schema.MessageType;
/**
* Writes records to a Parquet file
*
* @see ParquetOutputFormat
*
* @param the type of the materialized records
*/
public class ParquetRecordWriter extends RecordWriter {
private final InternalParquetRecordWriter internalWriter;
private final MemoryManager memoryManager;
private final CodecFactory codecFactory;
/**
*
* @param w the file to write to
* @param writeSupport the class to convert incoming records
* @param schema the schema of the records
* @param extraMetaData extra meta data to write in the footer of the file
* @param blockSize the size of a block in the file (this will be approximate)
* @param pageSize the size of a page in the file (this will be approximate)
* @param compressor the compressor used to compress the pages
* @param dictionaryPageSize the threshold for dictionary size
* @param enableDictionary to enable the dictionary
* @param validating if schema validation should be turned on
* @param writerVersion writer compatibility version
*/
@Deprecated
public ParquetRecordWriter(
ParquetFileWriter w,
WriteSupport writeSupport,
MessageType schema,
Map extraMetaData,
int blockSize, int pageSize,
BytesCompressor compressor,
int dictionaryPageSize,
boolean enableDictionary,
boolean validating,
WriterVersion writerVersion) {
ParquetProperties props = ParquetProperties.builder()
.withPageSize(pageSize)
.withDictionaryPageSize(dictionaryPageSize)
.withDictionaryEncoding(enableDictionary)
.withWriterVersion(writerVersion)
.build();
internalWriter = new InternalParquetRecordWriter(w, writeSupport, schema,
extraMetaData, blockSize, compressor, validating, props);
this.memoryManager = null;
this.codecFactory = null;
}
/**
*
* @param w the file to write to
* @param writeSupport the class to convert incoming records
* @param schema the schema of the records
* @param extraMetaData extra meta data to write in the footer of the file
* @param blockSize the size of a block in the file (this will be approximate)
* @param pageSize the size of a page in the file (this will be approximate)
* @param compressor the compressor used to compress the pages
* @param dictionaryPageSize the threshold for dictionary size
* @param enableDictionary to enable the dictionary
* @param validating if schema validation should be turned on
* @param writerVersion writer compatibility version
* @param memoryManager memory manager for the write
*/
@Deprecated
public ParquetRecordWriter(
ParquetFileWriter w,
WriteSupport writeSupport,
MessageType schema,
Map extraMetaData,
long blockSize, int pageSize,
BytesCompressor compressor,
int dictionaryPageSize,
boolean enableDictionary,
boolean validating,
WriterVersion writerVersion,
MemoryManager memoryManager) {
ParquetProperties props = ParquetProperties.builder()
.withPageSize(pageSize)
.withDictionaryPageSize(dictionaryPageSize)
.withDictionaryEncoding(enableDictionary)
.withWriterVersion(writerVersion)
.build();
internalWriter = new InternalParquetRecordWriter(w, writeSupport, schema,
extraMetaData, blockSize, compressor, validating, props);
this.memoryManager = Objects.requireNonNull(memoryManager, "memoryManager cannot be null");
memoryManager.addWriter(internalWriter, blockSize);
this.codecFactory = null;
}
/**
*
* @param w the file to write to
* @param writeSupport the class to convert incoming records
* @param schema the schema of the records
* @param extraMetaData extra meta data to write in the footer of the file
* @param blockSize the size of a block in the file (this will be approximate)
* @param codec the compression codec used to compress the pages
* @param validating if schema validation should be turned on
* @param props parquet encoding properties
*/
ParquetRecordWriter(
ParquetFileWriter w,
WriteSupport writeSupport,
MessageType schema,
Map extraMetaData,
long blockSize,
CompressionCodecName codec,
boolean validating,
ParquetProperties props,
MemoryManager memoryManager,
Configuration conf) {
this.codecFactory = new CodecFactory(conf, props.getPageSizeThreshold());
internalWriter = new InternalParquetRecordWriter(w, writeSupport, schema,
extraMetaData, blockSize, codecFactory.getCompressor(codec), validating,
props);
this.memoryManager = Objects.requireNonNull(memoryManager, "memoryManager cannot be null");
memoryManager.addWriter(internalWriter, blockSize);
}
/**
* {@inheritDoc}
*/
@Override
public void close(TaskAttemptContext context) throws IOException, InterruptedException {
try {
internalWriter.close();
// release after the writer closes in case it is used for a last flush
} finally {
if (codecFactory != null) {
codecFactory.release();
}
if (memoryManager != null) {
memoryManager.removeWriter(internalWriter);
}
}
}
/**
* {@inheritDoc}
*/
@Override
public void write(Void key, T value) throws IOException, InterruptedException {
internalWriter.write(value);
}
}