com.databricks.spark.csv.util.CompressionCodecs.scala Maven / Gradle / Ivy
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/*
* Copyright 2014 Databricks
*
* Licensed 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 com.databricks.spark.csv.util
import scala.util.control.Exception._
import org.apache.hadoop.io.compress._
private[csv] object CompressionCodecs {
private val shortCompressionCodecNames: Map[String, String] = {
val codecMap = collection.mutable.Map.empty[String, String]
allCatch toTry(codecMap += "bzip2" -> classOf[BZip2Codec].getName)
allCatch toTry(codecMap += "gzip" -> classOf[GzipCodec].getName)
allCatch toTry(codecMap += "lz4" -> classOf[Lz4Codec].getName)
allCatch toTry(codecMap += "snappy" -> classOf[SnappyCodec].getName)
codecMap.toMap
}
/**
* Return the codec class of the given name.
*/
def getCodecClass: String => Class[_ <: CompressionCodec] = {
case null => null
case codec =>
val codecName = shortCompressionCodecNames.getOrElse(codec.toLowerCase, codec)
try {
// scalastyle:off classforname
Class.forName(codecName).asInstanceOf[Class[CompressionCodec]]
// scalastyle:on classforname
} catch {
case e: ClassNotFoundException =>
throw new IllegalArgumentException(s"Codec [$codecName] is not " +
s"available. Known codecs are ${shortCompressionCodecNames.keys.mkString(", ")}.")
}
}
}