Performance Tuning - Spark 3.5.1 Documentation
Performance Tuning Caching Data In Memory Other Configuration Options Join Strategy Hints for SQL Queries Coalesce Hints for SQL Queries Adaptive Query Execution Coalescing Post Shuffle Partitions Spliting skewed shuffle partitions Converting sort-merge join to broadcast join Converting sort-merge join to shuffled hash join Optimizing Skew Join Misc For some workloads, it is possible to improve pe
Sort-merge join - Wikipedia
The sort-merge join (also known as merge join) is a join algorithm and is used in the implementation of a relational database management system. The basic problem of a join algorithm is to find, for each distinct value of the join attribute, the set of tuples in each relation which display that value. The key idea of the sort-merge algorithm is to first sort the relations by the join attribute, so
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Spark SQL - 3 common joins (Broadcast hash join, Shuffle Hash join, Sort merge join) explained
