Java heap space OutOfMemoryError in pyspark spark-submit?

Question

I have a data set size of 10GB(example Test.txt).

I wrote my pyspark script like below(Test.py):

from pyspark import SparkConf
from pyspark.sql import SparkSession
from pyspark.sql import SQLContext
spark = SparkSession.builder.appName("FilterProduct").getOrCreate()
sc = spark.sparkContext
sqlContext = SQLContext(sc)
lines = spark.read.text("C:/Users/test/Desktop/Test.txt").rdd
lines.collect()

Then I am executing the above script using below command :

spark-submit Test.py --executor-memory  12G 

Then I am getting error like below:

17/12/29 13:27:18 INFO FileScanRDD: Reading File path: file:///C:/Users/test/Desktop/Test.txt, range: 402653184-536870912, partition values: [empty row]
17/12/29 13:27:18 INFO CodeGenerator: Code generated in 22.743725 ms
17/12/29 13:27:44 ERROR Executor: Exception in task 1.0 in stage 0.0 (TID 1)
java.lang.OutOfMemoryError: Java heap space
        at java.util.Arrays.copyOf(Arrays.java:3230)
        at java.io.ByteArrayOutputStream.grow(ByteArrayOutputStream.java:113)
        at java.io.ByteArrayOutputStream.ensureCapacity(ByteArrayOutputStream.java:93)
        at java.io.ByteArrayOutputStream.write(ByteArrayOutputStream.java:140)
        at org.apache.spark.util.ByteBufferOutputStream.write(ByteBufferOutputStream.scala:41)
        at java.io.ObjectOutputStream$BlockDataOutputStream.drain(ObjectOutputStream.java:1877)
        at java.io.ObjectOutputStream$BlockDataOutputStream.setBlockDataMode(ObjectOutputStream.java:1786)
        at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1189)
        at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:348)
        at org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:43)
        at org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:100)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:383)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        at java.lang.Thread.run(Thread.java:745)
17/12/29 13:27:44 ERROR Executor: Exception in task 2.0 in stage 0.0 (TID 2)
java.lang.OutOfMemoryError: Java heap space
        at java.util.Arrays.copyOf(Arrays.java:3230)
        at java.io.ByteArrayOutputStream.grow(ByteArrayOutputStream.java:113)
        at java.io.ByteArrayOutputStream.ensureCapacity(ByteArrayOutputStream.java:93

Please let me know how to resolve this?

Answer 1

In your apache-spark directory check you have the file apache-spark/2.4.0/libexec/conf/spark-defaults.conf where 2.4.0 corresponds to apache-spark version.

If this file does not exist, create it.

Then insert at the end of the file: spark.driver.memory 12g.

This should solve without the need of --executor-memory 12G: just do spark-submit Test.py.

Answer 2

You could try --conf "spark.driver.maxResultSize=20g". You should check the configurations on spark conf page.spark.apache.org/docs/latest/configuration.html.

In addition to this answer I would like to suggest you to reduce your tasks result otherwise you could have trouble with serialization.