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org.apache.spark.examples.snappydata.structuredstreaming

CDCExample

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object CDCExample

An example explaining CDC (change data capture) use case with SnappyData streaming sink.

For CDC use case following two conditions should match: 1) The target table must be defined with key columns (for column tables) or primary keys ( for row table). 2) The input dataset must have an numeric column with name _eventType indicating type of the event. The value of this column is mapped with event type in the following manner:

0 - insert 1 - putInto 2 - delete

Based on the key values in the incoming dataset and the value of _eventType column the sink will decide which operation need to be performed for each record.

To run this on your local machine, you need to first run a Netcat server: $ nc -lk 9999

Example input data. Note that the last value from CSV record indicates the _eventType:

1,user1,23,0 2,user2,45,0 1,user1,23,2 2,user2,46,1

To run the example in local mode go to your SnappyData product distribution directory and execute the following command:

bin/run-example snappydata.structuredstreaming.CDCExample

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