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

   stackoverflow.com/questions/37132559

   Another approach in Apache Spark 2.1.0 is to use --conf spark.driver.userClassPathFirst=true during spark-submit which changes the priority of the dependency load, and thus the behavior of the spark-job, by giving priority to the JAR files the user is adding to the class-path with the --jars option.

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

   stackoverflow.com/questions/34722415

   3. In the case where the Driver node fails, who is responsible for re-launching the application? And what will happen exactly? i.e. how the Master node, Cluster Manager and Workers nodes will get involved (if they do), and in which order? If the driver fails, all executors tasks will be killed for that submitted/triggered spark application. 4.

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

   stackoverflow.com/questions/63914667

   The driver is also responsible for executing the Spark application and returning the status/results to the user. Spark Driver contains various components – DAGScheduler, TaskScheduler, BackendScheduler and BlockManager. They are responsible for the translation of user code into actual Spark jobs executed on the cluster.

5. 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 ...

6. How to check status of Spark applications from the command line?

   stackoverflow.com/questions/37420537

   I have found that it is possible to use REST API to submit, kill and get status of Spark jobs. The REST API is exposed on master on port 6066.

7. Spark Driver in Apache spark - Stack Overflow

   stackoverflow.com/questions/24637312

   The driver program must listen for and accept incoming connections from its executors throughout its lifetime (e.g., see spark.driver.port in the network config section). As such, the driver program must be network addressable from the worker nodes.

8. In Apache Spark. How to set worker/executor's environment...

   stackoverflow.com/questions/29354077

   Adding more to the existing answer. import pyspark def get_spark_context(app_name): # configure conf = pyspark.SparkConf() conf.set('spark.app.name', app_name) # init & return sc = pyspark.SparkContext.getOrCreate(conf=conf) # Configure your application specific setting # Set environment value for the executors conf.set(f'spark.executorEnv.SOME_ENVIRONMENT_VALUE', 'I_AM_PRESENT') return ...

9. config - Is it possible to get the current spark context settings...

   stackoverflow.com/questions/30560241

   The SparkContext keeps a hidden reference to its configuration in PySpark, and the configuration provides a getAll method: spark.sparkContext._conf.getAll(). Spark SQL provides the SET command that will return a table of property values: spark.sql("SET").toPandas(). You can also use SET -v to include a column with the property’s description.

10. Spark Streaming Driver and App work files cleanup

    stackoverflow.com/questions/42138778/spark-streaming-driver-and-app-work-files...

    I am running spark 2.0.2 and deployed streaming job in cluster deploy-mode on a spark standalone cluster. The streaming job works fine but there is an issue with the application's and driver's stderr

11. 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. –