Understanding Hash Joins and Symmetric Hash Joins in Database Queries
Hash joins and symmetric hash joins are key techniques used in database queries to efficiently access and combine data from multiple tables. Hash joins load candidate records into hash tables for quick probing, while symmetric hash joins maintain two hash tables with two hash functions. Despite their advantages, drawbacks such as bottleneck in query execution pipeline and memory requirements exist. Considerations like maintaining state for each output tuple are essential when working with these join types.
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Tutorial - 4 Hash Join & Symmetric Hash Join
What is a JOIN Between tables or self Query accessing multiple rows of the same or different tables Order of execution : Sequential
Hash Join Loads candidate records from one side of the join into a hash table. Probe for each record from other side of the join Purpose of the Hash Table - Indexing
Facts about hash joins Hash joins do not need indexes on predicates Reduce the hash table size to improve the performance Cannot perform joins that have range conditions in the join predicates
Drawbacks with Hash Join Bottleneck in query execution pipeline Sufficient memory required to store inner relation. Hybrid Hash Join!!!
Symmetric Hash Join Maintains two hash tables Two Hash functions
Other requirements to be considered Should run until it give one output tuple each time State should be saved should include detail on which tuple is running using state node.
