spark中配置啓用LZO壓縮

參考列表：

   centos7中安裝LZO與配置，請參考：http://blog.itpub.net/31511218/viewspace-2151945/

  Hadoop配置LZO，請參考：http://blog.itpub.net/31511218/viewspace-2151946/

Spark中配置啓用LZO壓縮，步驟以下：

1、spark-env.sh配置

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、spark-defaults.conf配置

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：指向編譯生成lzo的jar包

3、測試

一、讀取Lzo文件

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")

二、寫出lzo文件

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])

結果：

[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

至此配置與測試完成。

4、配置與測試中存問題

一、引用native，缺乏LD_LIBRARY_PATH

   1.一、錯誤提示：

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)

 1.二、解決辦法：在spark的conf中配置spark-evn.sh，增長如下內容：

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、沒法找到LzopCodec類

   2.一、錯誤提示：

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)

 2.二、解決辦法：在spark的conf中配置spark-defaults.conf，增長如下內容：

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