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{"id":1844,"date":"2021-01-08T06:00:18","date_gmt":"2021-01-08T12:00:18","guid":{"rendered":"https:\/\/www.bigdatainrealworld.com\/?p=1844"},"modified":"2023-02-19T07:31:58","modified_gmt":"2023-02-19T13:31:58","slug":"how-does-broadcast-nested-loop-join-work-in-spark","status":"publish","type":"post","link":"https:\/\/www.bigdatainrealworld.com\/how-does-broadcast-nested-loop-join-work-in-spark\/","title":{"rendered":"How does Broadcast Nested Loop Join work in Spark?"},"content":{"rendered":"Broadcast Nested Loop join works by broadcasting one of the entire datasets and performing a nested loop to join the data. So essentially every record from dataset 1 is attempted to join with every record from dataset 2.<\/span><\/p>\nAs you could guess, Broadcast Nested Loop is not preferred and could be quite slow. It works for both equi and non-equi joins and it is picked by default when you have a non-equi join.<\/span>
\n