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Disclaimer: This post has been generated using generative AI and is currently being tested. Get started generating your own with Cohere.TL;DR:TL;DR: Spark’s flatMapGroupsWithState allows users to apply custom code on grouped data and persist user-defined states using bloom filters. This outperforms Spark’s stream-stream join in terms of speed, scalability, and flexibility. It can be used to support temporal proximity correlation and ordered events, which are features of the upcoming Sigma specif...