如何使用动态资源分配执行 Spark 程序？

Question

I am using spark-summit command for executing Spark jobs with parameters such as:

spark-submit --master yarn-cluster --driver-cores 2 \
 --driver-memory 2G --num-executors 10 \
 --executor-cores 5 --executor-memory 2G \
 --class com.spark.sql.jdbc.SparkDFtoOracle2 \
 Spark-hive-sql-Dataframe-0.0.1-SNAPSHOT-jar-with-dependencies.jar

Now i want to execute the same program using Spark's Dynamic Resource allocation. Could you please help with the usage of Dynamic Resource Allocation in executing Spark programs.

Answer 1

In Spark dynamic allocation spark.dynamicAllocation.enabled needs to be set to true because it's false by default.

This requires spark.shuffle.service.enabled to be set to true , as spark application is running on YARN. Check this link to start the shuffle service on each NodeManager in YARN .

The following configurations are also relevant:

spark.dynamicAllocation.minExecutors, 
spark.dynamicAllocation.maxExecutors, and 
spark.dynamicAllocation.initialExecutors

These options can be configured to Spark application in 3 ways

1. From Spark submit with --conf <prop_name>=<prop_value>

spark-submit --master yarn-cluster \
    --driver-cores 2 \
    --driver-memory 2G \
    --num-executors 10 \
    --executor-cores 5 \
    --executor-memory 2G \
    --conf spark.dynamicAllocation.minExecutors=5 \
    --conf spark.dynamicAllocation.maxExecutors=30 \
    --conf spark.dynamicAllocation.initialExecutors=10 \ # same as --num-executors 10
    --class com.spark.sql.jdbc.SparkDFtoOracle2 \
    Spark-hive-sql-Dataframe-0.0.1-SNAPSHOT-jar-with-dependencies.jar

2. Inside Spark program with SparkConf

Set the properties in SparkConf then create SparkSession or SparkContext with it

val conf: SparkConf = new SparkConf()
conf.set("spark.dynamicAllocation.minExecutors", "5");
conf.set("spark.dynamicAllocation.maxExecutors", "30");
conf.set("spark.dynamicAllocation.initialExecutors", "10");
.....

3. spark-defaults.conf usually located in $SPARK_HOME/conf/

Place the same configurations in spark-defaults.conf to apply for all spark applications if no configuration is passed from command-line as well as code.

Spark - Dynamic Allocation Confs

Answer 2

I just did a small demo with Spark's dynamic resource allocation. The code is on my Github . Specifically, the demo is in this release .