Shulou(Shulou.com)06/02 Report--

There is no garbled code when using the Apache version of spark1.2.1, but in the spark-1.1.0-cdh6.2.1 version, when printing and debug the data in the distributed processing map function

Val rs = rdd.filter (e = > {val (lable,text) = (e.yog2 (2), e.room2 (3); m.filterItem (lable,text)}) .reduceByKey ((XMague y) = > m.merge (xMague y)) .map {case (xMague y) = > {println (x + "\ t" + y); (x._1.toLong, x.yog2, y (1), y (3))}}

Found that the Chinese content in the stdout file is garbled

(5pm?) List, http://xinligs.cn.china.cn/, A0, (11)? (11), false. 4, 7)? 17,?

View the stdout file in the corresponding app-20150605171809-0003 in the / var/run/spark/work/ directory

Stderr: ASCII C++ program textstdout: UTF-8 Unicode text, with very long lines

Stdout is encoded by ASCII, so it can't be displayed in Chinese.

When using service to start the Java program, the log output of stdout in hadoop on the machine is also garbled in Chinese.

Modify / sbin/service by adding LANG= "$LANG" after env-I

Restart each node of spark

Service spark-master restartservice spark-worker restart

Finally, the log shows normal in Chinese.

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