[jira] [Updated] (SPARK-6216) Check Python version in worker before run PySpark job
[
https://issues.apache.org/jira/browse/SPARK-6216?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen updated SPARK-6216:
-
Fix Version/s: (was: 1.4.0)
Check Python version in worker before run PySpark job
-
Key: SPARK-6216
URL: https://issues.apache.org/jira/browse/SPARK-6216
Project: Spark
Issue Type: Improvement
Components: PySpark
Reporter: Davies Liu
Assignee: Davies Liu
PySpark can only run with the same major version both in driver and worker (
both of the are 2.6 or 2.7), it will cause random error if it have 2.7 in
driver or 2.6 in worker (or vice).
For example:
{code}
davies@localhost:~/work/spark$ PYSPARK_PYTHON=python2.6
PYSPARK_DRIVER_PYTHON=python2.7 bin/pyspark
Using Python version 2.7.7 (default, Jun 2 2014 12:48:16)
SparkContext available as sc, SQLContext available as sqlCtx.
sc.textFile('LICENSE').map(lambda l: l.split()).count()
org.apache.spark.api.python.PythonException: Traceback (most recent call
last):
File /Users/davies/work/spark/python/pyspark/worker.py, line 101, in main
process()
File /Users/davies/work/spark/python/pyspark/worker.py, line 96, in
process
serializer.dump_stream(func(split_index, iterator), outfile)
File /Users/davies/work/spark/python/pyspark/rdd.py, line 2251, in
pipeline_func
return func(split, prev_func(split, iterator))
File /Users/davies/work/spark/python/pyspark/rdd.py, line 2251, in
pipeline_func
return func(split, prev_func(split, iterator))
File /Users/davies/work/spark/python/pyspark/rdd.py, line 2251, in
pipeline_func
return func(split, prev_func(split, iterator))
File /Users/davies/work/spark/python/pyspark/rdd.py, line 281, in func
return f(iterator)
File /Users/davies/work/spark/python/pyspark/rdd.py, line 931, in lambda
return self.mapPartitions(lambda i: [sum(1 for _ in i)]).sum()
File /Users/davies/work/spark/python/pyspark/rdd.py, line 931, in
genexpr
return self.mapPartitions(lambda i: [sum(1 for _ in i)]).sum()
File stdin, line 1, in lambda
TypeError: 'bool' object is not callable
at
org.apache.spark.api.python.PythonRDD$$anon$1.read(PythonRDD.scala:136)
at
org.apache.spark.api.python.PythonRDD$$anon$1.init(PythonRDD.scala:177)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:95)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:64)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
{code}
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[jira] [Updated] (SPARK-6216) Check Python version in worker before run PySpark job
[
https://issues.apache.org/jira/browse/SPARK-6216?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen updated SPARK-6216:
-
Component/s: PySpark
Check Python version in worker before run PySpark job
-
Key: SPARK-6216
URL: https://issues.apache.org/jira/browse/SPARK-6216
Project: Spark
Issue Type: Improvement
Components: PySpark
Reporter: Davies Liu
Assignee: Davies Liu
PySpark can only run with the same major version both in driver and worker (
both of the are 2.6 or 2.7), it will cause random error if it have 2.7 in
driver or 2.6 in worker (or vice).
For example:
{code}
davies@localhost:~/work/spark$ PYSPARK_PYTHON=python2.6
PYSPARK_DRIVER_PYTHON=python2.7 bin/pyspark
Using Python version 2.7.7 (default, Jun 2 2014 12:48:16)
SparkContext available as sc, SQLContext available as sqlCtx.
sc.textFile('LICENSE').map(lambda l: l.split()).count()
org.apache.spark.api.python.PythonException: Traceback (most recent call
last):
File /Users/davies/work/spark/python/pyspark/worker.py, line 101, in main
process()
File /Users/davies/work/spark/python/pyspark/worker.py, line 96, in
process
serializer.dump_stream(func(split_index, iterator), outfile)
File /Users/davies/work/spark/python/pyspark/rdd.py, line 2251, in
pipeline_func
return func(split, prev_func(split, iterator))
File /Users/davies/work/spark/python/pyspark/rdd.py, line 2251, in
pipeline_func
return func(split, prev_func(split, iterator))
File /Users/davies/work/spark/python/pyspark/rdd.py, line 2251, in
pipeline_func
return func(split, prev_func(split, iterator))
File /Users/davies/work/spark/python/pyspark/rdd.py, line 281, in func
return f(iterator)
File /Users/davies/work/spark/python/pyspark/rdd.py, line 931, in lambda
return self.mapPartitions(lambda i: [sum(1 for _ in i)]).sum()
File /Users/davies/work/spark/python/pyspark/rdd.py, line 931, in
genexpr
return self.mapPartitions(lambda i: [sum(1 for _ in i)]).sum()
File stdin, line 1, in lambda
TypeError: 'bool' object is not callable
at
org.apache.spark.api.python.PythonRDD$$anon$1.read(PythonRDD.scala:136)
at
org.apache.spark.api.python.PythonRDD$$anon$1.init(PythonRDD.scala:177)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:95)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:64)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
{code}
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