[jira] [Created] (SPARK-4403) Elastic allocation(spark.dynamicAllocation.enabled) results in task never being execued.

["Egor Pahomov (JIRA)" <ji...@apache.org>]

Egor Pahomov created SPARK-4403:
-----------------------------------

             Summary: Elastic allocation(spark.dynamicAllocation.enabled) results in task never being execued.
                 Key: SPARK-4403
                 URL: https://issues.apache.org/jira/browse/SPARK-4403
             Project: Spark
          Issue Type: Bug
          Components: Spark Core, YARN
    Affects Versions: 1.1.1
            Reporter: Egor Pahomov


I execute ipython notebook + pyspark with spark.dynamicAllocation.enabled = true. Task never ends.

Code:
{code}
import sys
from random import random
from operator import add
partitions = 10
n = 100000 * partitions

def f(_):
    x = random() * 2 - 1
    y = random() * 2 - 1
    return 1 if x ** 2 + y ** 2 < 1 else 0

count = sc.parallelize(xrange(1, n + 1), partitions).map(f).reduce(add)
print "Pi is roughly %f" % (4.0 * count / n)
{code}

{code}
pyspark \
        --verbose \
        --master yarn-client \
        --conf spark.driver.port=$((RANDOM_PORT + 2)) \
        --conf spark.broadcast.port=$((RANDOM_PORT + 3)) \
        --conf spark.replClassServer.port=$((RANDOM_PORT + 4)) \
        --conf spark.blockManager.port=$((RANDOM_PORT + 5)) \
        --conf spark.executor.port=$((RANDOM_PORT + 6)) \
        --conf spark.fileserver.port=$((RANDOM_PORT + 7)) \
        --conf spark.shuffle.service.enabled=true \
        --conf spark.dynamicAllocation.enabled=true \
        --conf spark.dynamicAllocation.minExecutors=1 \
        --conf spark.dynamicAllocation.maxExecutors=10 \
        --conf spark.ui.port=$SPARK_UI_PORT
{code}




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