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conveyor project spark-history

Create a local Spark history server

Synopsis​

Start a local Spark history server for analyzing a Spark eventlog. You can copy the full command from the Conveyor UI when clicking on Spark icon for a completed Spark application.

conveyor project spark-history [flags]

Examples​

To execute the command you need to provide the ID for the project, environment and application as follows:

$ conveyor project spark-history --id PROJECT_ID  --env-id ENVIRONMENT_ID --application-id APPLICATION_ID

When analysing large Spark history files (> 800MiB), you might need to increase the memory limit (default: 1024MiB) for the created Spark history server.
This can be done through the --memory argument as follows:

$ conveyor project spark-history --id PROJECT_ID  --env-id ENVIRONMENT_ID --application-id APPLICATION_ID --memory 2048

If you are mirroring the provided Spark base images to your own repository and want to use those for running the Spark history server,
you can do so by setting it via the --spark-image argument:

$ conveyor project spark-history --id PROJECT_ID  --env-id ENVIRONMENT_ID --application-id APPLICATION_ID --spark-image MIRRORED_SPARK_IMAGE

Options​

      --application-id string   The ID of the Spark application
      --env-id string           The ID of the environment in which the Spark application ran
  -h, --help                    help for spark-history
      --id string               The ID of the project to which the Spark application belongs
      --memory int              The memory limit in MiB for the Spark History Server (default 1024)
      --spark-image string      The container image to use for running the Spark History Server (default "public.ecr.aws/dataminded/spark-k8s-glue:v3.5.2-hadoop-3.3.6-v1")

Options inherited from parent commands​

      --debug                        Show debug output
      --no-browser NO_BROWSER=true   Do not automatically open a browser at login instead print the url to the command line. You can also use the environment variable NO_BROWSER=true.
  -o, --output string                Change the output. Valid options are table or json (default "table")
      --quiet QUIET=true             Quiet down the output. You can also use the environment variable QUIET=true.

See also​