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Installation steps for the Spark on Kubernetes operator

This document details instructions to use Delight with the Spark on Kubernetes operator. Here's the official quick start guide to install the operator on your Kubernetes cluster.

It assumes that you have created an account and generated an access token on the Delight website.

To enable Delight in a Spark application launched with the Spark on Kubernetes operator, add the following block to your sparkapplication manifest:

apiVersion: "sparkoperator.k8s.io/v1beta2"
kind: SparkApplication
# ...
spec:
  deps:
    jars:
      - "https://oss.sonatype.org/content/repositories/snapshots/co/datamechanics/delight_<replace-with-your-scala-version-2.11-or-2.12>/latest-SNAPSHOT/delight_<replace-with-your-scala-version-2.11-or-2.12>-latest-SNAPSHOT.jar"
  sparkConf:
    "spark.delight.accessToken.secret": "<replace-with-your-access-token>"
    "spark.extraListeners": "co.datamechanics.delight.DelightListener"
  #...

Do not forget to input the Scala version of your Spark distribution in the placeholders above. Spark 3.0.0 and above is compatible with Scala 2.12 only; for earlier versions of Spark, please check the Spark distribution in your Docker image.

Here's the Spark Pi example from the Spark on Kubernetes operator repository instrumented with Delight:

apiVersion: "sparkoperator.k8s.io/v1beta2"
kind: SparkApplication
metadata:
  name: spark-pi
  namespace: default
spec:
  type: Scala
  mode: cluster
  image: "gcr.io/spark-operator/spark:v3.0.0"
  imagePullPolicy: Always
  mainClass: org.apache.spark.examples.SparkPi
  mainApplicationFile: "local:///opt/spark/examples/jars/spark-examples_2.12-3.0.0.jar"
  sparkVersion: "3.0.0"
  restartPolicy:
    type: Never
  deps:
    jars:
      - "https://oss.sonatype.org/content/repositories/snapshots/co/datamechanics/delight_2.12/latest-SNAPSHOT/delight_2.12-latest-SNAPSHOT.jar"
  sparkConf:
    "spark.delight.accessToken.secret": "<replace-with-your-access-token>"
    "spark.extraListeners": "co.datamechanics.delight.DelightListener"
  volumes:
    - name: "test-volume"
      hostPath:
        path: "/tmp"
        type: Directory
  driver:
    cores: 1
    coreLimit: "1200m"
    memory: "512m"
    labels:
      version: 3.0.0
    serviceAccount: spark
    volumeMounts:
      - name: "test-volume"
        mountPath: "/tmp"
  executor:
    cores: 1
    instances: 1
    memory: "512m"
    labels:
      version: 3.0.0
    volumeMounts:
      - name: "test-volume"
        mountPath: "/tmp"

Delight provides information about memory usage for Spark version 3.0.0 and above. For this feature to work, you'll need the proc filesystem (procfs) and the command pgrep available in your runtime.

You may have to install pgrep in your Docker image. In Debian-based systems for example, pgrep is available as part of the procps package that you can install with apt-get install procps.