spark CompressionCodec 源码
spark CompressionCodec 代码
文件路径:/core/src/main/scala/org/apache/spark/io/CompressionCodec.scala
/*
* 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.spark.io
import java.io._
import java.util.Locale
import com.github.luben.zstd.{NoPool, RecyclingBufferPool, ZstdInputStreamNoFinalizer, ZstdOutputStreamNoFinalizer}
import com.ning.compress.lzf.{LZFInputStream, LZFOutputStream}
import net.jpountz.lz4.{LZ4BlockInputStream, LZ4BlockOutputStream, LZ4Factory}
import net.jpountz.xxhash.XXHashFactory
import org.xerial.snappy.{Snappy, SnappyInputStream, SnappyOutputStream}
import org.apache.spark.SparkConf
import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.internal.config._
import org.apache.spark.util.Utils
/**
* :: DeveloperApi ::
* CompressionCodec allows the customization of choosing different compression implementations
* to be used in block storage.
*
* @note The wire protocol for a codec is not guaranteed compatible across versions of Spark.
* This is intended for use as an internal compression utility within a single Spark application.
*/
@DeveloperApi
trait CompressionCodec {
def compressedOutputStream(s: OutputStream): OutputStream
private[spark] def compressedContinuousOutputStream(s: OutputStream): OutputStream = {
compressedOutputStream(s)
}
def compressedInputStream(s: InputStream): InputStream
private[spark] def compressedContinuousInputStream(s: InputStream): InputStream = {
compressedInputStream(s)
}
}
private[spark] object CompressionCodec {
private val configKey = IO_COMPRESSION_CODEC.key
private[spark] def supportsConcatenationOfSerializedStreams(codec: CompressionCodec): Boolean = {
(codec.isInstanceOf[SnappyCompressionCodec] || codec.isInstanceOf[LZFCompressionCodec]
|| codec.isInstanceOf[LZ4CompressionCodec] || codec.isInstanceOf[ZStdCompressionCodec])
}
private val shortCompressionCodecNames = Map(
"lz4" -> classOf[LZ4CompressionCodec].getName,
"lzf" -> classOf[LZFCompressionCodec].getName,
"snappy" -> classOf[SnappyCompressionCodec].getName,
"zstd" -> classOf[ZStdCompressionCodec].getName)
def getCodecName(conf: SparkConf): String = {
conf.get(IO_COMPRESSION_CODEC)
}
def createCodec(conf: SparkConf): CompressionCodec = {
createCodec(conf, getCodecName(conf))
}
def createCodec(conf: SparkConf, codecName: String): CompressionCodec = {
val codecClass =
shortCompressionCodecNames.getOrElse(codecName.toLowerCase(Locale.ROOT), codecName)
val codec = try {
val ctor =
Utils.classForName[CompressionCodec](codecClass).getConstructor(classOf[SparkConf])
Some(ctor.newInstance(conf))
} catch {
case _: ClassNotFoundException | _: IllegalArgumentException => None
}
codec.getOrElse(throw new IllegalArgumentException(s"Codec [$codecName] is not available. " +
s"Consider setting $configKey=$FALLBACK_COMPRESSION_CODEC"))
}
/**
* Return the short version of the given codec name.
* If it is already a short name, just return it.
*/
def getShortName(codecName: String): String = {
if (shortCompressionCodecNames.contains(codecName)) {
codecName
} else {
shortCompressionCodecNames
.collectFirst { case (k, v) if v == codecName => k }
.getOrElse { throw new IllegalArgumentException(s"No short name for codec $codecName.") }
}
}
val FALLBACK_COMPRESSION_CODEC = "snappy"
val ALL_COMPRESSION_CODECS = shortCompressionCodecNames.values.toSeq
}
/**
* :: DeveloperApi ::
* LZ4 implementation of [[org.apache.spark.io.CompressionCodec]].
* Block size can be configured by `spark.io.compression.lz4.blockSize`.
*
* @note The wire protocol for this codec is not guaranteed to be compatible across versions
* of Spark. This is intended for use as an internal compression utility within a single Spark
* application.
*/
@DeveloperApi
class LZ4CompressionCodec(conf: SparkConf) extends CompressionCodec {
// SPARK-28102: if the LZ4 JNI libraries fail to initialize then `fastestInstance()` calls fall
// back to non-JNI implementations but do not remember the fact that JNI failed to load, so
// repeated calls to `fastestInstance()` will cause performance problems because the JNI load
// will be repeatedly re-attempted and that path is slow because it throws exceptions from a
// static synchronized method (causing lock contention). To avoid this problem, we cache the
// result of the `fastestInstance()` calls ourselves (both factories are thread-safe).
@transient private[this] lazy val lz4Factory: LZ4Factory = LZ4Factory.fastestInstance()
@transient private[this] lazy val xxHashFactory: XXHashFactory = XXHashFactory.fastestInstance()
private[this] val defaultSeed: Int = 0x9747b28c // LZ4BlockOutputStream.DEFAULT_SEED
private[this] val blockSize = conf.get(IO_COMPRESSION_LZ4_BLOCKSIZE).toInt
override def compressedOutputStream(s: OutputStream): OutputStream = {
val syncFlush = false
new LZ4BlockOutputStream(
s,
blockSize,
lz4Factory.fastCompressor(),
xxHashFactory.newStreamingHash32(defaultSeed).asChecksum,
syncFlush)
}
override def compressedInputStream(s: InputStream): InputStream = {
val disableConcatenationOfByteStream = false
new LZ4BlockInputStream(
s,
lz4Factory.fastDecompressor(),
xxHashFactory.newStreamingHash32(defaultSeed).asChecksum,
disableConcatenationOfByteStream)
}
}
/**
* :: DeveloperApi ::
* LZF implementation of [[org.apache.spark.io.CompressionCodec]].
*
* @note The wire protocol for this codec is not guaranteed to be compatible across versions
* of Spark. This is intended for use as an internal compression utility within a single Spark
* application.
*/
@DeveloperApi
class LZFCompressionCodec(conf: SparkConf) extends CompressionCodec {
override def compressedOutputStream(s: OutputStream): OutputStream = {
new LZFOutputStream(s).setFinishBlockOnFlush(true)
}
override def compressedInputStream(s: InputStream): InputStream = new LZFInputStream(s)
}
/**
* :: DeveloperApi ::
* Snappy implementation of [[org.apache.spark.io.CompressionCodec]].
* Block size can be configured by `spark.io.compression.snappy.blockSize`.
*
* @note The wire protocol for this codec is not guaranteed to be compatible across versions
* of Spark. This is intended for use as an internal compression utility within a single Spark
* application.
*/
@DeveloperApi
class SnappyCompressionCodec(conf: SparkConf) extends CompressionCodec {
try {
Snappy.getNativeLibraryVersion
} catch {
case e: Error => throw new IllegalArgumentException(e)
}
private[this] val blockSize = conf.get(IO_COMPRESSION_SNAPPY_BLOCKSIZE).toInt
override def compressedOutputStream(s: OutputStream): OutputStream = {
new SnappyOutputStream(s, blockSize)
}
override def compressedInputStream(s: InputStream): InputStream = new SnappyInputStream(s)
}
/**
* :: DeveloperApi ::
* ZStandard implementation of [[org.apache.spark.io.CompressionCodec]]. For more
* details see - http://facebook.github.io/zstd/
*
* @note The wire protocol for this codec is not guaranteed to be compatible across versions
* of Spark. This is intended for use as an internal compression utility within a single Spark
* application.
*/
@DeveloperApi
class ZStdCompressionCodec(conf: SparkConf) extends CompressionCodec {
private val bufferSize = conf.get(IO_COMPRESSION_ZSTD_BUFFERSIZE).toInt
// Default compression level for zstd compression to 1 because it is
// fastest of all with reasonably high compression ratio.
private val level = conf.get(IO_COMPRESSION_ZSTD_LEVEL)
private val bufferPool = if (conf.get(IO_COMPRESSION_ZSTD_BUFFERPOOL_ENABLED)) {
RecyclingBufferPool.INSTANCE
} else {
NoPool.INSTANCE
}
override def compressedOutputStream(s: OutputStream): OutputStream = {
// Wrap the zstd output stream in a buffered output stream, so that we can
// avoid overhead excessive of JNI call while trying to compress small amount of data.
val os = new ZstdOutputStreamNoFinalizer(s, bufferPool).setLevel(level)
new BufferedOutputStream(os, bufferSize)
}
override private[spark] def compressedContinuousOutputStream(s: OutputStream) = {
// SPARK-29322: Set "closeFrameOnFlush" to 'true' to let continuous input stream not being
// stuck on reading open frame.
val os = new ZstdOutputStreamNoFinalizer(s, bufferPool)
.setLevel(level).setCloseFrameOnFlush(true)
new BufferedOutputStream(os, bufferSize)
}
override def compressedInputStream(s: InputStream): InputStream = {
// Wrap the zstd input stream in a buffered input stream so that we can
// avoid overhead excessive of JNI call while trying to uncompress small amount of data.
new BufferedInputStream(new ZstdInputStreamNoFinalizer(s, bufferPool), bufferSize)
}
override def compressedContinuousInputStream(s: InputStream): InputStream = {
// SPARK-26283: Enable reading from open frames of zstd (for eg: zstd compressed eventLog
// Reading). By default `isContinuous` is false, and when we try to read from open frames,
// `compressedInputStream` method above throws truncated error exception. This method set
// `isContinuous` true to allow reading from open frames.
new BufferedInputStream(
new ZstdInputStreamNoFinalizer(s, bufferPool).setContinuous(true), bufferSize)
}
}
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