Luke Miner created SPARK-18281:
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             Summary: toLocalIterator yields time out error on pyspark2
                 Key: SPARK-18281
                 URL: https://issues.apache.org/jira/browse/SPARK-18281
             Project: Spark
          Issue Type: Bug
          Components: PySpark
    Affects Versions: 2.0.1
         Environment: Ubuntu 14.04.5 LTS
Driver: AWS M4.XLARGE
Slaves: AWS M4.4.XLARGE
mesos 1.0.1
spark 2.0.1
pyspark
            Reporter: Luke Miner


I run the example straight out of the api docs for {code}toLocalIterator{code} 
and it gives a time out exception:

{code}
from pyspark import SparkContext
sc = SparkContext()
rdd = sc.parallelize(range(10))
[x for x in rdd.toLocalIterator()]
{code}

conf file:
spark.driver.maxResultSize 6G
spark.executor.extraJavaOptions -XX:+UseG1GC -XX:MaxPermSize=1G 
-XX:+HeapDumpOnOutOfMemoryError
spark.executor.memory   16G
spark.executor.uri  foo/spark-2.0.1-bin-hadoop2.7.tgz
spark.hadoop.fs.s3a.impl org.apache.hadoop.fs.s3a.S3AFileSystem
spark.hadoop.fs.s3a.buffer.dir  /raid0/spark
spark.hadoop.fs.s3n.buffer.dir  /raid0/spark
spark.hadoop.fs.s3a.connection.timeout 500000
spark.hadoop.fs.s3n.multipart.uploads.enabled   true
spark.hadoop.mapreduce.fileoutputcommitter.algorithm.version 2
spark.hadoop.parquet.block.size 2147483648
spark.hadoop.parquet.enable.summary-metadata    false
spark.jars.packages 
com.databricks:spark-avro_2.11:3.0.1,com.amazonaws:aws-java-sdk-pom:1.10.34
spark.local.dir /raid0/spark
spark.mesos.coarse  false
spark.mesos.constraints  priority:1
spark.network.timeout   600
spark.rpc.message.maxSize    500
spark.speculation   false
spark.sql.parquet.mergeSchema   false
spark.sql.planner.externalSort  true
spark.submit.deployMode client
spark.task.cpus 1

Exception here:
{code}
---------------------------------------------------------------------------
timeout                                   Traceback (most recent call last)
<ipython-input-1-6319dd276401> in <module>()
      2 sc = SparkContext()
      3 rdd = sc.parallelize(range(10))
----> 4 [x for x in rdd.toLocalIterator()]

/foo/spark-2.0.1-bin-hadoop2.7/python/pyspark/rdd.pyc in 
_load_from_socket(port, serializer)
    140     try:
    141         rf = sock.makefile("rb", 65536)
--> 142         for item in serializer.load_stream(rf):
    143             yield item
    144     finally:

/foo/spark-2.0.1-bin-hadoop2.7/python/pyspark/serializers.pyc in 
load_stream(self, stream)
    137         while True:
    138             try:
--> 139                 yield self._read_with_length(stream)
    140             except EOFError:
    141                 return

/foo/spark-2.0.1-bin-hadoop2.7/python/pyspark/serializers.pyc in 
_read_with_length(self, stream)
    154 
    155     def _read_with_length(self, stream):
--> 156         length = read_int(stream)
    157         if length == SpecialLengths.END_OF_DATA_SECTION:
    158             raise EOFError

/foo/spark-2.0.1-bin-hadoop2.7/python/pyspark/serializers.pyc in 
read_int(stream)
    541 
    542 def read_int(stream):
--> 543     length = stream.read(4)
    544     if not length:
    545         raise EOFError

/usr/lib/python2.7/socket.pyc in read(self, size)
    378                 # fragmentation issues on many platforms.
    379                 try:
--> 380                     data = self._sock.recv(left)
    381                 except error, e:
    382                     if e.args[0] == EINTR:

timeout: timed out
{code}





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