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1. Stop the KPI Management workflows.
   
   

2. Stop the Spark cluster.

   Code Block
   $ stop.sh

   
   

3. Stop the kpi-app and run:

   Code Block
   clean rm -fr $SPARK_APP_CHECKPOINT_DIR

   
   

4. Remove data stored by Kafka, Zookeeper, and Spark.

   Note
   title Note!
   Calculated KPIs for the current periods will be lost.

   
   

   Code Block
   language text theme Eclipse
   $ rm -rf $MZ_HOME/storage/kafka/* $ rm -rf $MZ_HOME/storage/zookeeper/* $ rm -rf <checkpoint directory>/*

   The default checkpoint directory is mz_kpiapp/data/spark-checkpoint-dir/<spark application name>.

   
   

5. Start Kafka and Zookeeper.
   
   

   Code Block
   bin/zookeeper-server-start.sh config/zookeeper.properties & bin/kafka-server-start.sh config/server.properties

   
   

6. Start Spark

   Code Block
   $ start_master_workers.sh

   
   

7. Recreate the Kafka topics that are specified in the service configuration. For further information, see 4.3.2 Spark, kafka and zookeeper.
   
   
8. Run submit.sh kpiapp to submit the Spark application(s). See 4.7.2 Submitting a Spark Application.
   
   
9. Start the KPI Management workflows.