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在emr-4.0.0上,spark-1.4.1 saveAsTextFile到S3非常慢

我在amazom aws emr 4.0.0中运行spark 1.4.1

对于一些共振火花saveAsTextFile在emr 4.0.0上与emr 3.8相比非常慢(为5秒,现在为95秒)

实际上saveAsTextFile表示它已经在4.356秒完成,但之后我看到很多INFO消息,com.amazonaws.latency记录器在接下来的90秒内出现404错误

spark> sc.parallelize(List.range(0, 1600000),160).map(x => x + "\t" + "A"*100).saveAsTextFile("s3n://foo-bar/tmp/test40_20")

2015-09-01 21:16:17,637 INFO  [dag-scheduler-event-loop] scheduler.DAGScheduler (Logging.scala:logInfo(59)) - ResultStage 5 (saveAsTextFile at <console>:22) finished in 4.356 s
2015-09-01 21:16:17,637 INFO  [task-result-getter-2] cluster.YarnScheduler (Logging.scala:logInfo(59)) - Removed TaskSet 5.0, whose tasks have all completed, from pool 
2015-09-01 21:16:17,637 INFO  [main] scheduler.DAGScheduler (Logging.scala:logInfo(59)) - Job 5 finished: saveAsTextFile at <console>:22, took 4.547829 s
2015-09-01 21:16:17,638 INFO  [main] s3n.S3NativeFileSystem (S3NativeFileSystem.java:listStatus(896)) - listStatus s3n://foo-bar/tmp/test40_20/_temporary/0 with recursive false
2015-09-01 …
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amazon-s3 emr apache-spark

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