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Bucketing in Spark SQL 2 3 with Jacek Laskowski

Опубликовано: 28 Сентябрь 2024
на канале: Databricks
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Bucketing is an optimization technique in Spark SQL that uses buckets and bucketing columns to determine data partitioning. When applied properly bucketing can lead to join optimizations by avoiding shuffles (aka exchanges) of tables participating in the join. The talk will give you the necessary information so you can use bucketing to optimize Spark SQL structured queries.

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/unifie...

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