spark中配置启用LZO压缩

78 阅读 0 评论 52 点赞

我是靠谱客的博主闪闪魔镜，最近开发中收集的这篇文章主要介绍spark中配置启用LZO压缩，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

参考列表：
centos7中安装LZO与配置，请参考：http://blog.itpub.net/31511218/viewspace-2151945/
Hadoop配置LZO，请参考：http://blog.itpub.net/31511218/viewspace-2151946/

Spark中配置启用LZO压缩，步骤如下：
一、spark-env.sh配置

点击(此处)折叠或打开

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/app/hadoop-2.6.0-cdh5.7.0/lib/native
export SPARK_LIBRARY_PATH=$SPARK_LIBRARY_PATH:/app/hadoop-2.6.0-cdh5.7.0/lib/native
export SPARK_CLASSPATH=$SPARK_CLASSPATH:/app/hadoop-2.6.0-cdh5.7.0/share/hadoop/yarn/*:/app/hadoop-2.6.0-cdh5.7.0/share/hadoop/yarn/lib/*:/app/hadoop-2.6.0-cdh5.7.0/share/hadoop/common/*:/app/hadoop-2.6.0-cdh5.7.0/share/hadoop/common/lib/*:/app/hadoop-2.6.0-cdh5.7.0/share/hadoop/hdfs/*:/app/hadoop-2.6.0-cdh5.7.0/share/hadoop/hdfs/lib/*:/app/hadoop-2.6.0-cdh5.7.0/share/hadoop/mapreduce/*:/app/hadoop-2.6.0-cdh5.7.0/share/hadoop/mapreduce/lib/*:/app/hadoop-2.6.0-cdh5.7.0/share/hadoop/tools/lib/*:/app/spark-2.2.0-bin-2.6.0-cdh5.7.0/jars/*

二、spark-defaults.conf配置

点击(此处)折叠或打开

spark.driver.extraClassPath /app/hadoop-2.6.0-cdh5.7.0/share/hadoop/common/hadoop-lzo-0.4.19.jar
spark.executor.extraClassPath /app/hadoop-2.6.0-cdh5.7.0/share/hadoop/common/hadoop-lzo-0.4.19.jar

注：指向编译生成lzo的jar包

三、测试
1、读取Lzo文件

点击(此处)折叠或打开

spark-shell --master local[2]
scala> import com.hadoop.compression.lzo.LzopCodec
scala> val page_views = sc.textFile("/user/hive/warehouse/page_views_lzo/page_views.dat.lzo")

2、写出lzo文件

点击(此处)折叠或打开

spark-shell --master local[2]
scala> import com.hadoop.compression.lzo.LzopCodec
scala> val lzoTest = sc.parallelize(1 to 10)
scala> lzoTest.saveAsTextFile("/input/test_lzo", classOf[LzopCodec])
结果：
[hadoop@spark220 common]$ hdfs dfs -ls /input/test_lzo
Found 3 items
-rw-r--r-- 1 hadoop supergroup 0 2018-03-16 23:24 /input/test_lzo/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 60 2018-03-16 23:24 /input/test_lzo/part-00000.lzo
-rw-r--r-- 1 hadoop supergroup 61 2018-03-16 23:24 /input/test_lzo/part-00001.lzo

至此配置与测试完成。

四、配置与测试中存问题
1、引用native，缺少LD_LIBRARY_PATH
1.1、错误提示：
点击( 此处 )折叠或打开

Caused by: java.lang.RuntimeException: native-lzo library not available
at com.hadoop.compression.lzo.LzopCodec.getDecompressorType(LzopCodec.java:120)
at org.apache.hadoop.io.compress.CodecPool.getDecompressor(CodecPool.java:178)
at org.apache.hadoop.mapred.LineRecordReader.(LineRecordReader.java:111)
at org.apache.hadoop.mapred.TextInputFormat.getRecordReader(TextInputFormat.java:67)
at org.apache.spark.rdd.HadoopRDD$$anon$1.liftedTree1$1(HadoopRDD.scala:246)
at org.apache.spark.rdd.HadoopRDD$$anon$1.(HadoopRDD.scala:245)
at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:203)
at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:94)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)

1.2、解决办法：在spark的conf中配置spark-evn.sh，增加以下内容：
点击( 此处 )折叠或打开

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/app/hadoop-2.6.0-cdh5.7.0/lib/native
export SPARK_LIBRARY_PATH=$SPARK_LIBRARY_PATH:/app/hadoop-2.6.0-cdh5.7.0/lib/native
export SPARK_CLASSPATH=$SPARK_CLASSPATH:/app/hadoop-2.6.0-cdh5.7.0/share/hadoop/yarn/*:/app/hadoop-2.6.0-cdh5.7.0/share/hadoop/yarn/lib/*:/app/hadoop-2.6.0-cdh5.7.0/share/hadoop/common/*:/app/hadoop-2.6.0-cdh5.7.0/share/hadoop/common/lib/*:/app/hadoop-2.6.0-cdh5.7.0/share/hadoop/hdfs/*:/app/hadoop-2.6.0-cdh5.7.0/share/hadoop/hdfs/lib/*:/app/hadoop-2.6.0-cdh5.7.0/share/hadoop/mapreduce/*:/app/hadoop-2.6.0-cdh5.7.0/share/hadoop/mapreduce/lib/*:/app/hadoop-2.6.0-cdh5.7.0/share/hadoop/tools/lib/*:/app/spark-2.2.0-bin-2.6.0-cdh5.7.0/jars/*

2、无法找到LzopCodec类
2 .1、错误提示：

点击(此处)折叠或打开

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：

点击(此处)折叠或打开

spark.driver.extraClassPath /app/hadoop-2.6.0-cdh5.7.0/share/hadoop/common/hadoop-lzo-0.4.19.jar
spark.executor.extraClassPath /app/hadoop-2.6.0-cdh5.7.0/share/hadoop/common/hadoop-lzo-0.4.19.jar