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 may filter for a better worth (say > 10), triggering enterprise logic inside a UDF to lock them out quickly as an anti-hacking function.
Lastly, you may as well be a part of knowledge 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 no streaming framework, notably when accounting for fault tolerance, scalability, and efficiency. On this instance, we’re becoming a member of Product knowledge on Orders knowledge with the product ID, returning an enriched Order + Product outcome.
SELECT * FROM Orders
INNER JOIN Product
ON Orders.productId = Product.id
Word that not all streaming frameworks (SQL or in any other case) assist primary-to-foreign-key joins. Some solely help you do primary-to-primary-key joins. Why? The brief reply is that it may be fairly difficult to implement these kind of joins when accounting for fault tolerance, scalability, and efficiency. In actual fact, you need to examine how your streaming SQL framework handles joins, and if it may possibly assist each international and first key joins, or just simply the latter.
