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Posted to issues@spark.apache.org by "Patrick Wendell (JIRA)" <ji...@apache.org> on 2014/03/30 07:44:14 UTC
[jira] [Updated] (SPARK-1323) Job hangs with
java.io.UTFDataFormatException when reading strings > 65536 bytes.
[ 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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