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Spark applications must be configured with a set of Kafka topics that are either shared between multiple applications or dedicated to specific applications. The assigned topics must be created before you submit an application to the Spark cluster. Before you can create the topics you must start Zookeeper and Kafka. 

Starting Services

The prerequisites for starting services are the following:

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Spark, ZooKeeper and Kafka are installed and up and running.

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Prerequisites:

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Starting

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.  Startup Spark cluster:

    $ start_master_workers.sh ...
 
.  Submit the app:
    $ submit.sh kpiapp ...

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Spark UI 

Creating Kafka Topics

Clusters

To start a cluster follow the steps:

  1. Start Zookeeper and Kafka
    To start Zookeeper, run the following:

    bin/zookeeper-server-start.sh config/zookeeper.properties

    To start Kafka, run:
    bin/kafka-server-start.sh config/server.properties

  2. Create Kafka topics and partitions using the scripts included in the Kafka installation.
    The names of the topics must correspond to the Spark application configuration.

Note

In order for the Spark KPI Application to work, the required number of partitions for each topic must be equal to the setting of the property spark.default.parallelism in the Spark application configuration.

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Code Block
languagetext
$ ./bin/kafka-topics.sh --create --topic <input topic> --bootstrap-server \
localhost:9092 --partitions <number of partitions> --replication-factor <number of replicas>
$ ./bin/kafka-topics.sh --create --topic <output topic> --bootstrap-server \
localhost:9092 --partitions <number of partitions> --replication-factor <number of replicas>
$ ./bin/kafka-topics.sh --create --topic <alarm topic> --bootstrap-server \
localhost:9092 --partitions <number of partitions> --replication-factor <number of replicas>

Example - Creating Kafka Topics

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Code Block
./bin/kafka-topics.sh --create --topic kpi-output --partitions 6 --replication-factor 1
./bin/kafka-topics.sh --create --topic kpi-input --partitions 6 --replication-factor 1
./bin/kafka-topics.sh --create --topic kpi-alarm --partitions 6 --replication-factor 1

Example - Creating Kafka topics, overriding retention settings

Code Block
./bin/kafka-topics.sh --create --topic kpi-output --partitions 6 --replication-factor 1 --config retention.ms=86400000
./bin/kafka-topics.sh --create --topic kpi-input --partitions 6 --replication-factor 1 --config retention.ms=86400000
./bin/kafka-topics.sh --create --topic kpi-alarm --partitions 6 --replication-factor 1 --config retention.ms=86400000

  1. Run the following command to start Spark:
    $ start_master_workers.sh ...
    To submit the app to the Spark cluster

    .  Submit the app:
        $ submit.sh kpiapp ...

  2. You can now confirm the status of the Spark cluster. Open a browser and go to http://<master host>:8080.

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Spark UI