本机snappy库不可用:这个版本的libhadoop是在没有snappy支持的情况下构建的

时间:2016-08-02 07:51:05

标签: hadoop apache-spark apache-spark-mllib snappy

当我使用MLUtils saveAsLibSVMFile时出现上述错误。尝试了各种各样的方法,但没有任何效果。

		/*
		 conf.set("spark.io.compression.codec","org.apache.spark.io.LZFCompressionCodec")
		*/

		/*
		conf.set("spark.executor.extraClassPath","/usr/hdp/current/hadoop-client/lib/snappy-java-*.jar")
		conf.set("spark.driver.extraClassPath","/usr/hdp/current/hadoop-client/lib/snappy-java-*.jar")
		
  		conf.set("spark.executor.extraLibraryPath","/usr/hdp/2.3.4.0-3485/hadoop/lib/native")
  		conf.set("spark.driver.extraLibraryPath","/usr/hdp/2.3.4.0-3485/hadoop/lib/native")
		*/

我阅读了以下链接https://community.hortonworks.com/questions/18903/this-version-of-libhadoop-was-built-without-snappy.html

最后我只有两种方法可以解决它。这在下面的答案中给出。

1 个答案:

答案 0 :(得分:0)

  1. 一种方法是使用不同的hadoop编解码器,如下所示 sc.hadoopConfiguration.set("mapreduce.output.fileoutputformat.compress", "true") sc.hadoopConfiguration.set("mapreduce.output.fileoutputformat.compress.type", CompressionType.BLOCK.toString) sc.hadoopConfiguration.set("mapreduce.output.fileoutputformat.compress.codec", "org.apache.hadoop.io.compress.BZip2Codec") sc.hadoopConfiguration.set("mapreduce.map.output.compress", "true") sc.hadoopConfiguration.set("mapreduce.map.output.compress.codec", "org.apache.hadoop.io.compress.BZip2Codec")

  2. 第二种方法是提及--driver-library-path /usr/hdp/<whatever is your current version>/hadoop/lib/native/作为我的spark-submit作业的参数(在命令行中)