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[HUDI-4038] Avoid calling
getDataSize
after every record written (a…
…pache#5497) - getDataSize has non-trivial overhead in the current ParquetWriter impl, requiring traversal of already composed Column Groups in memory. Instead we can sample these calls to getDataSize to amortize its cost. Co-authored-by: sivabalan <n.siva.b@gmail.com>
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87
.../hudi-client-common/src/main/java/org/apache/hudi/io/storage/HoodieBaseParquetWriter.java
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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. | ||
*/ | ||
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package org.apache.hudi.io.storage; | ||
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import org.apache.hadoop.fs.Path; | ||
import org.apache.hudi.common.fs.FSUtils; | ||
import org.apache.hudi.common.fs.HoodieWrapperFileSystem; | ||
import org.apache.parquet.hadoop.ParquetFileWriter; | ||
import org.apache.parquet.hadoop.ParquetWriter; | ||
import org.apache.parquet.hadoop.api.WriteSupport; | ||
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import java.io.IOException; | ||
import java.util.concurrent.atomic.AtomicLong; | ||
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/** | ||
* Base class of Hudi's custom {@link ParquetWriter} implementations | ||
* | ||
* @param <R> target type of the object being written into Parquet files (for ex, | ||
* {@code IndexedRecord}, {@code InternalRow}) | ||
*/ | ||
public abstract class HoodieBaseParquetWriter<R> extends ParquetWriter<R> { | ||
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private static final int WRITTEN_RECORDS_THRESHOLD_FOR_FILE_SIZE_CHECK = 1000; | ||
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private final AtomicLong writtenRecordCount = new AtomicLong(0); | ||
private final long maxFileSize; | ||
private long lastCachedDataSize = -1; | ||
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public HoodieBaseParquetWriter(Path file, | ||
HoodieBaseParquetConfig<? extends WriteSupport<R>> parquetConfig) throws IOException { | ||
super(HoodieWrapperFileSystem.convertToHoodiePath(file, parquetConfig.getHadoopConf()), | ||
ParquetFileWriter.Mode.CREATE, | ||
parquetConfig.getWriteSupport(), | ||
parquetConfig.getCompressionCodecName(), | ||
parquetConfig.getBlockSize(), | ||
parquetConfig.getPageSize(), | ||
parquetConfig.getPageSize(), | ||
parquetConfig.dictionaryEnabled(), | ||
DEFAULT_IS_VALIDATING_ENABLED, | ||
DEFAULT_WRITER_VERSION, | ||
FSUtils.registerFileSystem(file, parquetConfig.getHadoopConf())); | ||
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// We cannot accurately measure the snappy compressed output file size. We are choosing a | ||
// conservative 10% | ||
// TODO - compute this compression ratio dynamically by looking at the bytes written to the | ||
// stream and the actual file size reported by HDFS | ||
this.maxFileSize = parquetConfig.getMaxFileSize() | ||
+ Math.round(parquetConfig.getMaxFileSize() * parquetConfig.getCompressionRatio()); | ||
} | ||
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public boolean canWrite() { | ||
// TODO we can actually do evaluation more accurately: | ||
// if we cache last data size check, since we account for how many records | ||
// were written we can accurately project avg record size, and therefore | ||
// estimate how many more records we can write before cut off | ||
if (lastCachedDataSize == -1 || getWrittenRecordCount() % WRITTEN_RECORDS_THRESHOLD_FOR_FILE_SIZE_CHECK == 0) { | ||
lastCachedDataSize = getDataSize(); | ||
} | ||
return lastCachedDataSize < maxFileSize; | ||
} | ||
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@Override | ||
public void write(R object) throws IOException { | ||
super.write(object); | ||
writtenRecordCount.incrementAndGet(); | ||
} | ||
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protected long getWrittenRecordCount() { | ||
return writtenRecordCount.get(); | ||
} | ||
} |
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