The Internals of Stateful Stream Processing in Spark Structured Streaming -Jacek Laskowski
Let's talk about state management in Spark Structured Streaming. During this talk you will learn the streaming concepts that are particularly relevant for stateful stream processing in Structured Streaming, e.g. watermark and output modes, but also GroupState and GroupStateTimeout. We will be exploring simple stateful processing (with groupBy operator) and more advanced use cases with KeyValueGroupedDataset.mapGroupsWithState and the most advanced KeyValueGroupedDataset.flatMapGroupsWithState operator. In other words, you will learn how to use the stateful streaming API and understand the internals.
About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.
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Видео The Internals of Stateful Stream Processing in Spark Structured Streaming -Jacek Laskowski канала Databricks
About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.
Read more here: https://databricks.com/product/unified-data-analytics-platform
Connect with us:
Website: https://databricks.com
Facebook: https://www.facebook.com/databricksinc
Twitter: https://twitter.com/databricks
LinkedIn: https://www.linkedin.com/company/databricks
Instagram: https://www.instagram.com/databricksinc/
Видео The Internals of Stateful Stream Processing in Spark Structured Streaming -Jacek Laskowski канала Databricks
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