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Apache Spark: SparkPi Example


Apache Spark: SparkPi Example

By : user2955563
Date : November 22 2020, 10:40 AM
Hope this helps As you see, 10 is the number of partitions (or slices) created by the spark program. The job of computing PI has been divided in 10 tasks (PI is computed through an iterative algorithm).
The output shows that the job completed successfully. You should also see a row with the result.
code :


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Unable to run Spark 1.0 SparkPi on HDP 2.0

Unable to run Spark 1.0 SparkPi on HDP 2.0


By : A.Kossek
Date : March 29 2020, 07:55 AM
it should still fix some issue I had the same problem. The reason was that version of spark-assembly.jar, in the hdfs differs from your current spark version.
For example params list of org.apache.spark.deploy.yarn.Client in hdfs version:
code :
  $ hadoop jar ./spark-assembly.jar  org.apache.spark.deploy.yarn.Client --help
Usage: org.apache.spark.deploy.yarn.Client [options] 
Options:
  --jar JAR_PATH             Path to your application's JAR file (required in yarn-cluster mode)
  --class CLASS_NAME         Name of your application's main class (required)
  --args ARGS                Arguments to be passed to your application's main class.
                             Mutliple invocations are possible, each will be passed in order.
  --num-workers NUM          Number of workers to start (Default: 2)
  --worker-cores NUM         Number of cores for the workers (Default: 1). This is unsused right now.
  --master-class CLASS_NAME  Class Name for Master (Default: spark.deploy.yarn.ApplicationMaster)
  --master-memory MEM        Memory for Master (e.g. 1000M, 2G) (Default: 512 Mb)
  --worker-memory MEM        Memory per Worker (e.g. 1000M, 2G) (Default: 1G)
  --name NAME                The name of your application (Default: Spark)
  --queue QUEUE              The hadoop queue to use for allocation requests (Default: 'default')
  --addJars jars             Comma separated list of local jars that want SparkContext.addJar to work with.
  --files files              Comma separated list of files to be distributed with the job.
  --archives archives        Comma separated list of archives to be distributed with the job.
$ hadoop jar ./spark-assembly-1.0.0-cdh5.1.0-hadoop2.3.0-cdh5.1.0.jar org.apache.spark.deploy.yarn.Client
Usage: org.apache.spark.deploy.yarn.Client [options] 
Options:
  --jar JAR_PATH             Path to your application's JAR file (required in yarn-cluster mode)
  --class CLASS_NAME         Name of your application's main class (required)
  --arg ARGS                 Argument to be passed to your application's main class.
                             Multiple invocations are possible, each will be passed in order.
  --num-executors NUM        Number of executors to start (Default: 2)
  --executor-cores NUM       Number of cores for the executors (Default: 1).
  --driver-memory MEM        Memory for driver (e.g. 1000M, 2G) (Default: 512 Mb)
  --executor-memory MEM      Memory per executor (e.g. 1000M, 2G) (Default: 1G)
  --name NAME                The name of your application (Default: Spark)
  --queue QUEUE              The hadoop queue to use for allocation requests (Default: 'default')
  --addJars jars             Comma separated list of local jars that want SparkContext.addJar to work with.
  --files files              Comma separated list of files to be distributed with the job.
  --archives archives        Comma separated list of archives to be distributed with the job.
Unable to run sparkPi on Apache Spark cluster

Unable to run sparkPi on Apache Spark cluster


By : user3572810
Date : March 29 2020, 07:55 AM
Hope this helps The cause of this error was : The workers could not really connect to the Master node as the spark master's IP and hostname was not present in the /etc/hosts file of the workers. For the cluster to work it is essential that each node has the host entries of every other node in the cluster in its /etc/hosts file. eg:
code :
127.0.0.1 localhost.localdomain localhost
10.0.2.12 master.example.com master
10.0.2.13 worker1.example.com worker1
10.0.2.13 worker2.example.com worker2
Spark SparkPi example

Spark SparkPi example


By : Alan LKL
Date : March 29 2020, 07:55 AM
Hope that helps Yes, it is.
By default, this example will operate on 2 slices. As a result, your collection will be split into 2 parts. Then Spark will execute the map transformation and reduce action on each partition in parallel. Finally, Spark will merge the individual results into the final value.
Airflow SparkSubmitOperator failing because of java.lang.ClassNotFoundException: class org.apache.spark.examples.SparkPi

Airflow SparkSubmitOperator failing because of java.lang.ClassNotFoundException: class org.apache.spark.examples.SparkPi


By : Nanda Kishore
Date : March 29 2020, 07:55 AM
it should still fix some issue You have a typo:
java_class='class org.apache.spark.examples.SparkPi'
Cannot launch SparkPi example on Kubernetes Spark 2.4.0

Cannot launch SparkPi example on Kubernetes Spark 2.4.0


By : ttenoa
Date : March 29 2020, 07:55 AM
this will help Spark on Kubernetes has a bug.
During Spark job submission to the Kubernetes cluster we first create Spark Driver Pod: https://github.com/apache/spark/blob/02c5b4f76337cc3901b8741887292bb4478931f3/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/submit/KubernetesClientApplication.scala#L130 .
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