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From "Patrick Wendell (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-1323) Job hangs with java.io.UTFDataFormatException when reading strings > 65536 bytes.
Date Sun, 30 Mar 2014 05:44:14 GMT

     [ https://issues.apache.org/jira/browse/SPARK-1323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Patrick Wendell updated SPARK-1323:
-----------------------------------

    Fix Version/s: 0.9.1
                   1.0.0

> Job hangs with java.io.UTFDataFormatException when reading strings > 65536 bytes.

> ----------------------------------------------------------------------------------
>
>                 Key: SPARK-1323
>                 URL: https://issues.apache.org/jira/browse/SPARK-1323
>             Project: Apache Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 0.9.0
>            Reporter: Karthik
>              Labels: pyspark
>             Fix For: 1.0.0, 0.9.1
>
>
> Steps to reproduce in Python
> {code:borderStyle=solid}
> st = ''.join(['1' for i in range(65537)])
> sc.parallelize([st]).saveAsTextFile("testfile")
> sc.textFile('testfile').count()
> {code}
> The last line never completes..  Looking at the logs (with DEBUG enabled) reveals the
exception, here is the stack trace
> {code:borderStyle=solid}
> 14/03/25 15:03:34 INFO PythonRDD: stdin writer to Python finished early
> 14/03/25 15:03:34 DEBUG PythonRDD: stdin writer to Python finished early
> java.io.UTFDataFormatException: encoded string too long: 65537 bytes
>         at java.io.DataOutputStream.writeUTF(DataOutputStream.java:364)
>         at java.io.DataOutputStream.writeUTF(DataOutputStream.java:323)
>         at org.apache.spark.api.python.PythonRDD$$anonfun$writeIteratorToStream$2.apply(PythonRDD.scala:222)
>         at org.apache.spark.api.python.PythonRDD$$anonfun$writeIteratorToStream$2.apply(PythonRDD.scala:221)
>         at scala.collection.Iterator$class.foreach(Iterator.scala:727)
>         at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
>         at org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:221)
>         at org.apache.spark.api.python.PythonRDD$$anon$2.run(PythonRDD.scala:81)
> {code}



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