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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.

Lab Info
Table of Contents
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Challenge
Create a Stream to Pull Data in from the Topic
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Start a KSQL session:
sudo ksql
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Set
auto.offset.reset
toearliest
:SET 'auto.offset.reset' = 'earliest';
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Look at the data in the
member_signups
topic:PRINT 'member_signups' FROM BEGINNING;
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Create a stream from the topic:
CREATE STREAM member_signups (firstname VARCHAR, lastname VARCHAR, email_notifications BOOLEAN) WITH (KAFKA_TOPIC='member_signups', VALUE_FORMAT='DELIMITED');
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Challenge
Create a Persistent Streaming Query to Write Data to the Output Topic in Real Time
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Create the persistent streaming query:
CREATE STREAM member_signups_email AS SELECT * FROM member_signups WHERE email_notifications=true;
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View the data in the output topic to verify that everything is working:
PRINT 'MEMBER_SIGNUPS_EMAIL' FROM BEGINNING;
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About the author
Real skill practice before real-world application
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