Ian Mendoza Ian Mendoza - 3 years ago 167
Scala Question

spark-app saveAsText local error

Spark Application error due to Mkdirs failed to create.
I'm using spark 1.6.3 unable to save output on my local dir

java.io.IOException: Mkdirs failed to create file:/home/zooms/output/sample1/sample1.txt/_temporary/0/_temporary/attempt_201709251225_0005_m_000000_10
(exists=false, cwd=file:/grid/1/hadoop/yarn/local/usercache/zooms/appcache/application_1504506749061_0086/container_e01_1504506749061_0086_01_000003)


Updated logs

17/09/25 13:39:02 WARN TaskSetManager: Lost task 0.0 in stage 5.0 (TID 10, worker3.hdp.example.com): java.io.IOException: Mkdirs failed to create file:/home/zooms/output/sample1/sample1.txt/_temporary/0/_temporary/attempt_201709251339_0005_m_000000_10 (exists=false, cwd=file:/grid/1/hadoop/yarn/local/usercache/zooms/appcache/application_1504506749061_0099/container_e01_1504506749061_0099_01_000003)
at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:456)
at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:442)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:930)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:823)
at org.apache.hadoop.mapred.TextOutputFormat.getRecordWriter(TextOutputFormat.java:123)
at org.apache.spark.SparkHadoopWriter.open(SparkHadoopWriter.scala:91)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$13.apply(PairRDDFunctions.scala:1191)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$13.apply(PairRDDFunctions.scala:1183)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
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)


Code:

val output = "file:///home/zooms/output/sample1/sample1.txt"
result.coalesce(1).saveAsTextFile(output)

Answer Source

Here's the answer to my question. Since i'm running on a cluster mode or client mode, workers won't able to create the directory on each node unless you define it. Use spark-submit -v --master local ...

References: Writing files to local system with Spark in Cluster mode

Why does Spark job fails to write output?

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