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Posted to issues@spark.apache.org by "Frank Rosner (JIRA)" <ji...@apache.org> on 2017/10/17 09:25:02 UTC
[jira] [Commented] (SPARK-18649) sc.textFile(my_file).collect()
raises socket.timeout on large files
[ https://issues.apache.org/jira/browse/SPARK-18649?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16207217#comment-16207217 ]
Frank Rosner commented on SPARK-18649:
--------------------------------------
Looks like in SPARK-21551 they increased the hard coded limit to 15 seconds.
> sc.textFile(my_file).collect() raises socket.timeout on large files
> -------------------------------------------------------------------
>
> Key: SPARK-18649
> URL: https://issues.apache.org/jira/browse/SPARK-18649
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Environment: PySpark version 1.6.2
> Reporter: Erik Cederstrand
>
> I'm trying to load a file into the driver with this code:
> contents = sc.textFile('hdfs://path/to/big_file.csv').collect()
> Loading into the driver instead of creating a distributed RDD is intentional in this case. The file is ca. 6GB, and I have adjusted driver memory accordingly to fit the local data. After some time, my spark/submitted job crashes with the stack trace below.
> I have traced this to pyspark/rdd.py where the _load_from_socket() method creates a socket with a hard-coded timeout of 3 seconds (this code is also present in HEAD although I'm on PySpark 1.6.2). Raising this hard-coded value to e.g. 600 lets me read the entire file.
> Is there any reason that this value does not use e.g. the 'spark.network.timeout' setting instead?
> Traceback (most recent call last):
> File "my_textfile_test.py", line 119, in <module>
> contents = sc.textFile('hdfs://path/to/file.csv').collect()
> File "/usr/hdp/2.5.0.0-1245/spark/python/lib/pyspark.zip/pyspark/rdd.py", line 772, in collect
> File "/usr/hdp/2.5.0.0-1245/spark/python/lib/pyspark.zip/pyspark/rdd.py", line 142, in _load_from_socket
> File "/usr/hdp/2.5.0.0-1245/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 517, in load_stream
> File "/usr/hdp/2.5.0.0-1245/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 511, in loads
> File "/usr/lib/python2.7/socket.py", line 380, in read
> data = self._sock.recv(left)
> socket.timeout: timed out
> 16/11/30 13:33:14 WARN Utils: Suppressing exception in finally: Broken pipe
> java.net.SocketException: Broken pipe
> at java.net.SocketOutputStream.socketWrite0(Native Method)
> at java.net.SocketOutputStream.socketWrite(SocketOutputStream.java:109)
> at java.net.SocketOutputStream.write(SocketOutputStream.java:153)
> at java.io.BufferedOutputStream.flushBuffer(BufferedOutputStream.java:82)
> at java.io.BufferedOutputStream.flush(BufferedOutputStream.java:140)
> at java.io.DataOutputStream.flush(DataOutputStream.java:123)
> at java.io.FilterOutputStream.close(FilterOutputStream.java:158)
> at org.apache.spark.api.python.PythonRDD$$anon$2$$anonfun$run$2.apply$mcV$sp(PythonRDD.scala:650)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1248)
> at org.apache.spark.api.python.PythonRDD$$anon$2.run(PythonRDD.scala:649)
> Suppressed: java.net.SocketException: Broken pipe
> at java.net.SocketOutputStream.socketWrite0(Native Method)
> at java.net.SocketOutputStream.socketWrite(SocketOutputStream.java:109)
> at java.net.SocketOutputStream.write(SocketOutputStream.java:153)
> at java.io.BufferedOutputStream.flushBuffer(BufferedOutputStream.java:82)
> at java.io.BufferedOutputStream.flush(BufferedOutputStream.java:140)
> at java.io.FilterOutputStream.close(FilterOutputStream.java:158)
> at java.io.FilterOutputStream.close(FilterOutputStream.java:159)
> ... 3 more
> 16/11/30 13:33:14 ERROR PythonRDD: Error while sending iterator
> java.net.SocketException: Connection reset
> at java.net.SocketOutputStream.socketWrite(SocketOutputStream.java:113)
> at java.net.SocketOutputStream.write(SocketOutputStream.java:153)
> at java.io.BufferedOutputStream.flushBuffer(BufferedOutputStream.java:82)
> at java.io.BufferedOutputStream.write(BufferedOutputStream.java:126)
> at java.io.DataOutputStream.write(DataOutputStream.java:107)
> at java.io.FilterOutputStream.write(FilterOutputStream.java:97)
> at org.apache.spark.api.python.PythonRDD$.writeUTF(PythonRDD.scala:622)
> at org.apache.spark.api.python.PythonRDD$.org$apache$spark$api$python$PythonRDD$$write$1(PythonRDD.scala:442)
> at org.apache.spark.api.python.PythonRDD$$anonfun$writeIteratorToStream$1.apply(PythonRDD.scala:452)
> at org.apache.spark.api.python.PythonRDD$$anonfun$writeIteratorToStream$1.apply(PythonRDD.scala:452)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:452)
> at org.apache.spark.api.python.PythonRDD$$anon$2$$anonfun$run$1.apply$mcV$sp(PythonRDD.scala:648)
> at org.apache.spark.api.python.PythonRDD$$anon$2$$anonfun$run$1.apply(PythonRDD.scala:648)
> at org.apache.spark.api.python.PythonRDD$$anon$2$$anonfun$run$1.apply(PythonRDD.scala:648)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1239)
> at org.apache.spark.api.python.PythonRDD$$anon$2.run(PythonRDD.scala:649)
> Suppressed: java.net.SocketException: Broken pipe
> at java.net.SocketOutputStream.socketWrite0(Native Method)
> at java.net.SocketOutputStream.socketWrite(SocketOutputStream.java:109)
> at java.net.SocketOutputStream.write(SocketOutputStream.java:153)
> at java.io.BufferedOutputStream.flushBuffer(BufferedOutputStream.java:82)
> at java.io.BufferedOutputStream.flush(BufferedOutputStream.java:140)
> at java.io.DataOutputStream.flush(DataOutputStream.java:123)
> at java.io.FilterOutputStream.close(FilterOutputStream.java:158)
> at org.apache.spark.api.python.PythonRDD$$anon$2$$anonfun$run$2.apply$mcV$sp(PythonRDD.scala:650)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1248)
> ... 1 more
> Suppressed: java.net.SocketException: Broken pipe
> at java.net.SocketOutputStream.socketWrite0(Native Method)
> at java.net.SocketOutputStream.socketWrite(SocketOutputStream.java:109)
> at java.net.SocketOutputStream.write(SocketOutputStream.java:153)
> at java.io.BufferedOutputStream.flushBuffer(BufferedOutputStream.java:82)
> at java.io.BufferedOutputStream.flush(BufferedOutputStream.java:140)
> at java.io.FilterOutputStream.close(FilterOutputStream.java:158)
> at java.io.FilterOutputStream.close(FilterOutputStream.java:159)
> ... 3 more
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