How to set extra JVM options for Spark application?

0 votes
I want to use extra JVM options to Yarn application master. I am using client mode spark application. Can someone tell me how to set extra JVM options?
Mar 28, 2019 in Apache Spark by Kapil
1,590 views

1 answer to this question.

0 votes

You cans set extra JVM options that you want to use, using the following command:

val sc = new SparkContext(new SparkConf())

./bin/spark-submit <all your existing options> --spark.yarn.am.extraJavaOptions=<String of JVM option>
answered Mar 28, 2019 by Raj

Related Questions In Apache Spark

0 votes
1 answer
0 votes
1 answer

How to set cpu cores for spark task?

By default, each task is allocated with ...READ MORE

answered Mar 12, 2019 in Apache Spark by Veer
1,681 views
0 votes
1 answer

How to give user only view access for Spark application?

You can give users only view permission ...READ MORE

answered Mar 14, 2019 in Apache Spark by Raj
247 views
0 votes
1 answer

How to increase Spark memory for execution?

Probably the spill is because you have ...READ MORE

answered Mar 7, 2019 in Apache Spark by Pavitra

edited Mar 7, 2019 169 views
+1 vote
2 answers
+1 vote
1 answer

Hadoop Mapreduce word count Program

Firstly you need to understand the concept ...READ MORE

answered Mar 16, 2018 in Data Analytics by nitinrawat895
• 10,950 points
5,907 views
0 votes
1 answer

hadoop.mapred vs hadoop.mapreduce?

org.apache.hadoop.mapred is the Old API  org.apache.hadoop.mapreduce is the ...READ MORE

answered Mar 16, 2018 in Data Analytics by nitinrawat895
• 10,950 points
892 views
+1 vote
11 answers

hadoop fs -put command?

put syntax: put <localSrc> <dest> copy syntax: copyF ...READ MORE

answered Dec 7, 2018 in Big Data Hadoop by Aditya
37,406 views
0 votes
1 answer

How to enable SSL for Spark application?

You can do it dynamically like this: val ...READ MORE

answered Mar 15, 2019 in Apache Spark by Karan
295 views
0 votes
1 answer

How to set executors for static allocation in Spark Yarn?

Open Spark shell and run the following ...READ MORE

answered Mar 28, 2019 in Apache Spark by Raj
482 views