Deep Dive into Query Execution in Spark SQL 2 3 with Jacek Laskowski Continued

1,275 views · Published 11 October 2018 · 31:41 · Indexed 12 November 2026

Channel: Databricks · 2018 · Science & Technology

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If you want to get even slightly better performance of your structured queries (regardless whether they are batch or streaming) you have to peek at the foundations of Dataset API starting with QueryExecution. That’s where any structured query ends at and my talk starts from. The talk will show you what stages a structured query has to go through before execution in Spark SQL. I’ll be talking about the different phases of query execution and the logical and physical optimizations. I’ll show the different optimizations in Spark SQL 2.3 and how to write one yourself (in Scala).

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