【问题标题】:Unable to save an RDD[String] as a text file using saveAsTextFile无法使用 saveAsTextFile 将 RDD[String] 保存为文本文件
【发布时间】:2015-11-10 23:55:02
【问题描述】:

当我尝试将我的 RDD 写入 HDFS 上的文本文件时,如下所示,出现错误。

val rdd = sc.textFile("/user/hadoop/dxld801/test.txt")
val filtered = rdd.map({line=> line.replace("\\N","NULL")})
filtered.saveAsTextFile("hdfs:///user/hadoop/dxld801/test.txt")

错误:

引起:java.lang.RuntimeException: java.lang.ClassNotFoundException:类 org.apache.hadoop.mapred.DirectFileOutputCommitter 未找到

我在 spark-shell 中运行上述所有内容,我的 spark version1.4.0

这是我用来启动 shell 的命令 $SPARK_HOME/bin/spark-shell --packages com.databricks:spark-csv_2.10:1.2.0 --jars /home/hadoop/lib/native/hadoop-lzo-0.4.14.jar

我尝试用谷歌搜索找到这个类“DirectFileOutputCommitter”在哪里可用,但看起来这个类在这个世界上根本不存在。

追踪:

java.lang.RuntimeException: java.lang.RuntimeException:
> java.lang.ClassNotFoundException: Class
> org.apache.hadoop.mapred.DirectFileOutputCommitter not found
>         at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1927)
>         at org.apache.hadoop.mapred.JobConf.getOutputCommitter(JobConf.java:722)
>         at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply$mcV$sp(PairRDDFunctions.scala:983)
>         at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply(PairRDDFunctions.scala:965)
>         at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply(PairRDDFunctions.scala:965)
>         at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:148)
>         at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:109)
>         at org.apache.spark.rdd.RDD.withScope(RDD.scala:286)
>         at org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:965)
>         at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply$mcV$sp(PairRDDFunctions.scala:897)
>         at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply(PairRDDFunctions.scala:897)
>         at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply(PairRDDFunctions.scala:897)
>         at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:148)
>         at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:109)
>         at org.apache.spark.rdd.RDD.withScope(RDD.scala:286)
>         at org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:896)
>         at org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply$mcV$sp(RDD.scala:1400)
>         at org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply(RDD.scala:1379)
>         at org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply(RDD.scala:1379)
>         at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:148)
>         at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:109)
>         at org.apache.spark.rdd.RDD.withScope(RDD.scala:286)
>         at org.apache.spark.rdd.RDD.saveAsTextFile(RDD.scala:1379)
>         at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:26)
>         at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:31)
>         at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:33)
>         at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:35)
>         at $iwC$$iwC$$iwC$$iwC.<init>(<console>:37)
>         at $iwC$$iwC$$iwC.<init>(<console>:39)
>         at $iwC$$iwC.<init>(<console>:41)
>         at $iwC.<init>(<console>:43)
>         at <init>(<console>:45)
>         at .<init>(<console>:49)
>         at .<clinit>(<console>)
>         at .<init>(<console>:7)
>         at .<clinit>(<console>)
>         at $print(<console>)
>         at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>         at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
>         at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>         at java.lang.reflect.Method.invoke(Method.java:606)
>         at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
>         at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1338)
>         at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
>         at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
>         at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
>         at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
>         at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
>         at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
>         at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
>         at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
>         at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670)
>         at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997)
>         at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
>         at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
>         at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
>         at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
>         at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
>         at org.apache.spark.repl.Main$.main(Main.scala:31)
>         at org.apache.spark.repl.Main.main(Main.scala)
>         at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>         at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
>         at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>         at java.lang.reflect.Method.invoke(Method.java:606)
>         at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:664)
>         at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:169)
>         at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:192)
>         at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:111)
>         at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) Caused by: java.lang.RuntimeException:
> java.lang.ClassNotFoundException: Class
> org.apache.hadoop.mapred.DirectFileOutputCommitter not found
>         at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1895)
>         at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1919)
>         ... 68 more Caused by: java.lang.ClassNotFoundException: Class org.apache.hadoop.mapred.DirectFileOutputCommitter not found
>         at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:1801)
>         at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1893)
>         ... 69 more

谁能帮我解决这个问题?

【问题讨论】:

    标签: scala classnotfoundexception apache-spark-1.4


    【解决方案1】:

    保存位置"hdfs:///user/hadoop/dxld801/test.txt" 的路径似乎错误。应该是:"/user/hadoop/dxld801/test.txt""hdfs://HOSTNAME:PORT/user/hadoop/dxld801/test.txt"

    同时修复该行: rdd.map({line=&gt; line.replace("\\N","NULL")})rdd.map{line=&gt; line.replace("\\N","NULL")}

    【讨论】:

    • 感谢@ipoteka 的回复,我已经尝试了上面建议的所有方法,仍然没有运气。 hdfs://HOSTNAME:9101/user/hadoop/test/test_out.txt and /user/hadoop/test/test_out.txt
    • @RavitejSomayajula 也修正这条线:rdd.map({line=&gt; line.replace("\\N","NULL")}) - 我编辑了我的答案。
    • 没用,@ipoteka。可能,我们应该尝试找出为什么 shell 无法找到 org.apache.hadoop.mapred.DirectFileOutputCommitter 尽管在 hadoop 环境中运行。
    • 问题可能在于您的语法不正确。或者您可能不是从文本文件中读取,或者您再次写错了表达式。 spark-shell 错误信息在这些情况下是没有用的,不要太在意。祝你好运!
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