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Posted to issues@spark.apache.org by "Bago Amirbekian (JIRA)" <ji...@apache.org> on 2018/11/01 22:07:00 UTC
[jira] [Updated] (SPARK-25921) Python worker reuse causes Barrier
tasks to run without BarrierTaskContext
[ https://issues.apache.org/jira/browse/SPARK-25921?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Bago Amirbekian updated SPARK-25921:
------------------------------------
Description:
Running a barrier job after a normal spark job causes the barrier job to run without a BarrierTaskContext. Here is some code to reproduce.
{code:java}
def task(*args):
from pyspark import BarrierTaskContext
context = BarrierTaskContext.get()
context.barrier()
print("in barrier phase")
context.barrier()
return []
a = sc.parallelize(list(range(4))).map(lambda x: x ** 2).collect()
assert a == [0, 1, 4, 9]
b = sc.parallelize(list(range(4)), 4).barrier().mapPartitions(task).collect()
{code}
was:
Running a barrier job after a normal spark job causes the barrier job to run without a BarrierTaskContext. Here is some code to reproduce.
{code:java}
def task(*args):
from pyspark import BarrierTaskContext
context = BarrierTaskContext.get()
context.barrier()
print("in barrier phase")
context.barrier()
return []
a = sc.parallelize(list(range(4))).map(lambda x: x ** 2).collect()
assert a == [0, 1, 4, 9]
b = sc.parallelize(list(range(4)), 4).barrier().mapPartitions(task).collect()
{code}
> Python worker reuse causes Barrier tasks to run without BarrierTaskContext
> --------------------------------------------------------------------------
>
> Key: SPARK-25921
> URL: https://issues.apache.org/jira/browse/SPARK-25921
> Project: Spark
> Issue Type: Bug
> Components: PySpark, Spark Core
> Affects Versions: 2.4.0
> Reporter: Bago Amirbekian
> Priority: Major
>
> Running a barrier job after a normal spark job causes the barrier job to run without a BarrierTaskContext. Here is some code to reproduce.
>
> {code:java}
> def task(*args):
> from pyspark import BarrierTaskContext
> context = BarrierTaskContext.get()
> context.barrier()
> print("in barrier phase")
> context.barrier()
> return []
> a = sc.parallelize(list(range(4))).map(lambda x: x ** 2).collect()
> assert a == [0, 1, 4, 9]
> b = sc.parallelize(list(range(4)), 4).barrier().mapPartitions(task).collect()
> {code}
>
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