Streaming SQL for Apache Kafka

Apache Kafka is a popular choice for powering data pipelines. KSQL makes it simple to transform data within the pipeline, readying messages to cleanly land in another system.

CREATE STREAM vip_actions AS 
SELECT userid, page, actionFROM clickstream cLEFT JOIN users u ON c.userid = u.user_id 
WHERE u.level = 'Platinum';

KSQL is a good fit for identifying patterns or anomalies on real-time data. By processing the stream as data arrives you can identify and properly surface out of the ordinary events with millisecond latency.

CREATE TABLE possible_fraud AS
SELECT card_number, count(*)
FROM authorization_attempts 
WINDOW TUMBLING (SIZE 5 SECONDS)
GROUP BY card_number
HAVING count(*) > 3;

Kafka’s ability to provide scalable ordered messages with stream processing make it a common solution for log data monitoring and alerting. KSQL lends a familiar syntax for tracking, understanding, and managing alerts.

CREATE TABLE error_counts AS 
SELECT error_code, count(*) 
FROM monitoring_stream 
WINDOW TUMBLING (SIZE 1 MINUTE) 
WHERE  type = 'ERROR' 
GROUP BY error_code;