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{"id":1695,"date":"2021-09-17T06:00:00","date_gmt":"2021-09-17T11:00:00","guid":{"rendered":"https:\/\/www.bigdatainrealworld.com\/?p=1695"},"modified":"2023-02-19T07:31:05","modified_gmt":"2023-02-19T13:31:05","slug":"how-does-spark-decide-stages-and-tasks-during-execution-of-a-job","status":"publish","type":"post","link":"https:\/\/www.bigdatainrealworld.com\/how-does-spark-decide-stages-and-tasks-during-execution-of-a-job\/","title":{"rendered":"How does Spark decide stages and tasks during execution of a Job?"},"content":{"rendered":"Let\u2019s see this with an example. Here is our series of instructions in our Spark code. Let\u2019s see how Spark decide on stages and tasks with the below set of instructions.<\/p>\n
\n- READ dataset_X<\/span><\/li>\n
- FILTER on dataset_X<\/span><\/li>\n
- MAP operation on dataset_X<\/span><\/li>\n
- READ dataset_Y<\/span><\/li>\n
- MAP operation on dataset_Y<\/span><\/li>\n
- JOIN dataset_X and dataset_Y<\/span><\/li>\n
- FILTER on joined dataset<\/span><\/li>\n
- SAVE the output<\/span><\/li>\n<\/ol>\n