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Working with KSQL Streams

KSQL provides a powerful and flexible interface for Kafka's stream processing features. With KSQL, you can even build data processing pipelines without needing to write your own Kafka Streams applications. In this lab, we will solve a simple data processing use case using KSQL. We will create a stream from an existing topic, and we will output the data in a processed form to an output topic using a persistent streaming query.

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Path Info

Clock icon Intermediate
Clock icon 30m
Clock icon Oct 18, 2019

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Table of Contents

  1. Challenge

    Create a Stream to Pull Data in from the Topic

    1. Start a KSQL session:

      sudo ksql
    2. Set auto.offset.reset to earliest:

      SET 'auto.offset.reset' = 'earliest';
    3. Look at the data in the member_signups topic:

      PRINT 'member_signups' FROM BEGINNING;
    4. Create a stream from the topic:

      CREATE STREAM member_signups
        (firstname VARCHAR,
          lastname VARCHAR,
          email_notifications BOOLEAN)
        WITH (KAFKA_TOPIC='member_signups',
  2. Challenge

    Create a Persistent Streaming Query to Write Data to the Output Topic in Real Time

    1. Create the persistent streaming query:

      CREATE STREAM member_signups_email AS
        SELECT * FROM member_signups WHERE email_notifications=true;
    2. View the data in the output topic to verify that everything is working:


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