SELECT
COUNT(user_id) AS login_count,
TUMBLE_START(event_time, INTERVAL '1' MINUTE) AS window_start
FROM login_attempts
GROUP BY TUMBLE(event_time, INTERVAL '1' MINUTE);
Upon getting what number of login makes an attempt a consumer has within the window, you’ll be able to filter for the next worth (say > 10), triggering enterprise logic inside a UDF to lock them out briefly as an anti-hacking characteristic.
Lastly, you can even be part of information from a number of streams along with only a few easy instructions. Becoming a member of streams as streams (or as tables) is definitely fairly difficult to do properly with out a streaming framework, notably when accounting for fault tolerance, scalability, and efficiency. On this instance, we’re becoming a member of Product information on Orders information with the product ID, returning an enriched Order + Product consequence.
SELECT * FROM Orders
INNER JOIN Product
ON Orders.productId = Product.id
Be aware that not all streaming frameworks (SQL or in any other case) assist primary-to-foreign-key joins. Some solely let you do primary-to-primary-key joins. Why? The quick reply is that it may be fairly difficult to implement all these joins when accounting for fault tolerance, scalability, and efficiency. In truth, you must examine how your streaming SQL framework handles joins, and if it will probably assist each overseas and first key joins, or just simply the latter.
