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2. Add JAR files to a Spark job - spark-submit - Stack Overflow

   stackoverflow.com/questions/37132559

   2. When using spark-submit with --master yarn-cluster, the application JAR file along with any JAR file included with the --jars option will be automatically transferred to the cluster. URLs supplied after --jars must be separated by commas. That list is included in the driver and executor classpaths.

3. What is the difference between Driver and Application manager in...

   stackoverflow.com/questions/63914667

   10. As per the spark documentation. Spark Driver : The Driver (aka driver program) is responsible for converting a user application to smaller execution units called tasks and then schedules them to run with a cluster manager on executors. The driver is also responsible for executing the Spark application and returning the status/results to the ...

4. Understand Spark: Cluster Manager, Master and Driver nodes

   stackoverflow.com/questions/34722415

   A cluster manager does nothing more to Apache Spark, but offering resources, and once Spark executors launch, they directly communicate with the driver to run tasks. You can start a standalone master server by executing: ./sbin/start-master.sh. Can be started anywhere. To run an application on the Spark cluster.

5. Spark Driver in Apache spark - Stack Overflow

   stackoverflow.com/questions/24637312

   A Spark driver is the process that creates and owns an instance of SparkContext. It is your Spark application that launches the main method in which the instance of SparkContext is created. It is the cockpit of jobs and tasks execution (using DAGScheduler and Task Scheduler). It hosts Web UI for the environment.

6. scala - Spark multiple contexts - Stack Overflow

   stackoverflow.com/questions/32827333

   Although configuration option spark.driver.allowMultipleContexts exists, it is misleading because usage of multiple Spark contexts is discouraged. This option is used only for Spark internal tests and is not supposed to be used in user programs. You can get unexpected results while running more than one Spark context in a single JVM.

7. Stopping a Running Spark Application - Stack Overflow

   stackoverflow.com/questions/30093959

   @user2662165 Any way to kill it using spark-class, spark-submit, or the submissions api endpoint are not going to work unless you submit your app in cluster mode. I struggled to grasp that as well. If you need to kill a driver run in client mode (the default), you have to use OS commands to kill the process manually. –

8. Multiple driver-java-options in spark submit - Stack Overflow

   stackoverflow.com/questions/44129459

   @nonotb, how does it work in terms of the files process. Is it that the spark-submit tries to upload the files from whereever you run the command. so e.g. i am in client/edge node, and i have folder /abc/def/app.conf I then use spark_submit --files /abc/def/app.conf and then what? how does executor access these files? should i also place the file on hdfs/maprfs, and make sure the spark ...

9. How to limit the number of retries on Spark job failure?

   stackoverflow.com/questions/38709280

   There are two settings that control the number of retries (i.e. the maximum number of ApplicationMaster registration attempts with YARN is considered failed and hence the entire Spark application): spark.yarn.maxAppAttempts - Spark's own setting. See MAX_APP_ATTEMPTS: private[spark] val MAX_APP_ATTEMPTS = ConfigBuilder("spark.yarn.maxAppAttempts")

10. How to pass -D parameter or environment variable to Spark job?

    stackoverflow.com/questions/28166667

    I Had a lot of problems with passing -D parameters to spark executors and the driver, I've added a quote from my blog post about it: " The right way to pass the parameter is through the property: “spark.driver.extraJavaOptions” and “spark.executor.extraJavaOptions”: I’ve passed both the log4J configurations property and the parameter that I needed for the configurations.

11. apache spark sql - How to add jdbc drivers to classpath when...

    stackoverflow.com/questions/46925864

    In order to include the driver for postgresql you can do the following: from pyspark.conf import SparkConf conf = SparkConf() # create the configuration conf.set("spark.jars", "/path/to/postgresql-connector-java-someversion-bin.jar") # set the spark.jars ... spark = SparkSession.builder \ .config(conf=conf) \ # feed it to the session here .master("local") \ .appName("Python Spark SQL basic ...