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Setup Spark Cluster

spark

We will start the Spark Streaming process in the DataProc cluster we created to communicate with the Kafka VM instance over the port 9092. Remember, we opened port 9092 for it to be able to accept connections.

  • Establish SSH connection to the master node

    ssh streamify-spark

  • Clone git repo

    git clone https://github.com/ankurchavda/streamify.git && \
cd streamify/spark_streaming

  • Set the evironment variables -

    • External IP of the Kafka VM so that spark can connect to it

    • Name of your GCS bucket. (What you gave during the terraform setup)

      export KAFKA_ADDRESS=IP.ADD.RE.SS
export GCP_GCS_BUCKET=bucket-name

      Note: You will have to setup these env vars every time you create a new shell session. Or if you stop/start your cluster

  • Start reading messages

    spark-submit \
--packages org.apache.spark:spark-sql-kafka-0-10_2.12:3.1.2 \
stream_all_events.py

  • If all went right, you should see new parquet files in your bucket! That is Spark writing a file every two minutes for each topic.

  • Topics we are reading from

    • listen_events
    • page_view_events
    • auth_events