这篇文章给大家介绍spark中怎么配置启用LZO压缩,内容非常详细,感兴趣的小伙伴们可以参考借鉴,希望对大家能有所帮助。
Spark中配置启用LZO压缩,步骤如下:
一、spark-env.sh配置
-
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/app/hadoop-2.6.0-cdh6.7.0/lib/native
export SPARK_LIBRARY_PATH=$SPARK_LIBRARY_PATH:/app/hadoop-2.6.0-cdh6.7.0/lib/native
export SPARK_CLASSPATH=$SPARK_CLASSPATH:/app/hadoop-2.6.0-cdh6.7.0/share/hadoop/yarn/*:/app/hadoop-2.6.0-cdh6.7.0/share/hadoop/yarn/lib/*:/app/hadoop-2.6.0-cdh6.7.0/share/hadoop/common/*:/app/hadoop-2.6.0-cdh6.7.0/share/hadoop/common/lib/*:/app/hadoop-2.6.0-cdh6.7.0/share/hadoop/hdfs/*:/app/hadoop-2.6.0-cdh6.7.0/share/hadoop/hdfs/lib/*:/app/hadoop-2.6.0-cdh6.7.0/share/hadoop/mapreduce/*:/app/hadoop-2.6.0-cdh6.7.0/share/hadoop/mapreduce/lib/*:/app/hadoop-2.6.0-cdh6.7.0/share/hadoop/tools/lib/*:/app/spark-2.2.0-bin-2.6.0-cdh6.7.0/jars/*
2、无法找到LzopCodec类
2.1、错误提示:
-
Caused by: java.lang.IllegalArgumentException: Compression codec com.hadoop.compression.lzo.LzopCodec not found.
-
at org.apache.hadoop.io.compress.CompressionCodecFactory.getCodecClasses(CompressionCodecFactory.java:135)
-
at org.apache.hadoop.io.compress.CompressionCodecFactory.<init>(CompressionCodecFactory.java:175)
-
at org.apache.hadoop.mapred.TextInputFormat.configure(TextInputFormat.java:45)
-
Caused by: java.lang.ClassNotFoundException: Class com.hadoop.compression.lzo.LzopCodec not found
-
at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:1980)
-
at org.apache.hadoop.io.compress.CompressionCodecFactory.getCodecClasses(CompressionCodecFactory.java:128)
2.2、解决办法:在spark的conf中配置spark-defaults.conf,增加以下内容:
-
spark.driver.extraClassPath /app/hadoop-2.6.0-cdh6.7.0/share/hadoop/common/hadoop-lzo-0.4.19.jar
-
spark.executor.extraClassPath /app/hadoop-2.6.0-cdh6.7.0/share/hadoop/common/hadoop-lzo-0.4.19.jar
关于spark中怎么配置启用LZO压缩就分享到这里了,希望以上内容可以对大家有一定的帮助,可以学到更多知识。如果觉得文章不错,可以把它分享出去让更多的人看到。
原创文章,作者:3628473679,如若转载,请注明出处:https://blog.ytso.com/220497.html