Big Data Management Administrator Guide

10.2.2 Service Pack 1
- 10.5.7
- 10.5.6
- 10.5.2
- 10.5.1
- 10.5
- 10.4.1
- 10.4.0
- 10.2.2 HotFix 1
- 10.2.2
- 10.2.1

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Tuning the Spark Engine

Tune the Spark engine according to a deployment type that defines the big data processing requirements on the Spark engine. When you tune the Spark engine, the autotune command configures the Spark advanced properties in the Hadoop connection.

The following table describes the advanced properties that are tuned:

Property	Description
spark.driver.memory	The driver process memory that the Spark engine uses to run mapping jobs.
spark.executor.memory	The amount of memory that each executor process uses to run tasklets on the Spark engine.
spark.executor.cores	The number of cores that each executor process uses to run tasklets on the Spark engine.
spark.sql.shuffle.partitions	The number of partitions that the Spark engine uses to shuffle data to process joins or aggregations in a mapping job.

The following table lists the tuned value for each advanced property based on the deployment type:

Property	Sandbox	Basic	Standard	Advanced
spark.driver.memory	1 GB	2 GB	4 GB	4 GB
spark.executor.memory	2 GB	4 GB	6 GB	6 GB
spark.executor.cores	2	2	2	2
spark.sql.shuffle.partitions	100	400	1500	3000

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Big Data Management Administrator Guide

Big Data Management Administrator Guide

Tuning the Spark Engine

Tuning the Spark Engine