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Deep Dive into Stateful Stream Processing in Structured Streaming with Tathagata Das (Databricks)

2,561 views · Published 11 October 2018 · 31:41 · Indexed 10 November 2026

Channel: Databricks · 2018 · Science & Technology

Stateful processing is one of the most challenging aspects of distributed, fault-tolerant stream processing. The DataFrame APIs in Structured Streaming make it easy for the developer to express their stateful logic, either implicitly (streaming aggregations) or explicitly (mapGroupsWithState). However, there are a number of moving parts under the hood which makes all the magic possible. In this talk, I will dive deep into different stateful operations (streaming aggregations, deduplication and joins) and how they work under the hood in the Structured Streaming engine.

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Deep Dive into Stateful Stream Processing in Structured Streaming with Tathagata Das (Databricks)

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