Spiculecharms Apache Spark

Channel Revision Published Runs on
latest/stable 0 19 Mar 2021
Ubuntu 16.04 Ubuntu 14.04
juju deploy spiculecharms-apache-spark
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Platform:

Ubuntu
16.04 14.04

Learn about actions >

  • list-jobs

    List scheduled periodic jobs.

  • list-spark-versions

    Get a list of availbale spark versions.

  • logisticregression

    Run the Spark Bench LogisticRegression benchmark.

  • matrixfactorization

    Run the Spark Bench MatrixFactorization benchmark.

  • pagerank

    Run the Spark Bench PageRank benchmark.

  • remove-job

    Remove a job previously scheduled for repeated execution.

    Params
    • action-id string

      The ID returned by the action that scheduled the job.

    Required

    action-id

  • restart-spark-job-history-server

    Restart the Spark job history server.

  • smoke-test

    Verify that Spark is working by calculating pi.

  • sparkpi

    Calculate Pi

    Params
    • partitions string

      Number of partitions to use for the SparkPi job

  • sql

    Run the Spark Bench SQL benchmark.

  • start-spark-job-history-server

    Start the Spark job history server.

  • stop-spark-job-history-server

    Stop the Spark job history server.

  • streaming

    Run the Spark Bench Streaming benchmark.

  • submit

    Submit a job to Spark.

    Params
    • class string

      If a JAR is given, this should be the name of the class within the JAR to run.

    • cron string

      Schedule the job to be run periodically, according to the given cron rule. For example: "*/5 * * * *" will run the job every 5 minutes.

    • extra-params string

      Additional params to pass to spark-submit. For example: "--executor-memory 1000M --supervise"

    • job string

      URL to a JAR or Python file. This can be any URL supported by spark-submit, such as a remote URL, an hdfs:// path (if connected to HDFS), etc.

    • job-args

      Arguments for the job.

    • packages string

      Comma-separated list of packages to include.

    • py-files string

      Comma-separated list of Python packages to include.

    Required

    job

  • svdplusplus

    Run the Spark Bench SVDPlusPlus benchmark.

  • svm

    Run the Spark Bench SVM benchmark.

  • trianglecount

    Run the Spark Bench TriangleCount benchmark.