Spark 3.5.1 ScalaDoc < Back

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package root

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root
package org

Definition Classes
root
package apache

Definition Classes
org
package spark
Core Spark functionality.
Core Spark functionality. org.apache.spark.SparkContext serves as the main entry point to Spark, while org.apache.spark.rdd.RDD is the data type representing a distributed collection, and provides most parallel operations.
In addition, org.apache.spark.rdd.PairRDDFunctions contains operations available only on RDDs of key-value pairs, such as groupByKey and join; org.apache.spark.rdd.DoubleRDDFunctions contains operations available only on RDDs of Doubles; and org.apache.spark.rdd.SequenceFileRDDFunctions contains operations available on RDDs that can be saved as SequenceFiles. These operations are automatically available on any RDD of the right type (e.g. RDD[(Int, Int)] through implicit conversions.
Java programmers should reference the org.apache.spark.api.java package for Spark programming APIs in Java.
Classes and methods marked with Experimental are user-facing features which have not been officially adopted by the Spark project. These are subject to change or removal in minor releases.
Classes and methods marked with Developer API are intended for advanced users want to extend Spark through lower level interfaces. These are subject to changes or removal in minor releases.

Definition Classes
apache
package io
IO codecs used for compression.
IO codecs used for compression. See org.apache.spark.io.CompressionCodec.

Definition Classes
spark
CompressionCodec
LZ4CompressionCodec
LZFCompressionCodec
NioBufferedFileInputStream
ReadAheadInputStream
SnappyCompressionCodec
ZStdCompressionCodec

t

org.apache.spark.io

CompressionCodec

trait CompressionCodec extends AnyRef

:: DeveloperApi :: CompressionCodec allows the customization of choosing different compression implementations to be used in block storage.

Annotations: @DeveloperApi()
Source: CompressionCodec.scala
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.

Linear Supertypes

Known Subclasses

LZ4CompressionCodec, LZFCompressionCodec, SnappyCompressionCodec, ZStdCompressionCodec

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CompressionCodec
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abstract def compressedInputStream(s: InputStream): InputStream
abstract def compressedOutputStream(s: OutputStream): OutputStream

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