Data Locality in Spark.

Updated May 5, 2026

Short answer

Data Locality is the principle of moving code to data instead of data to code.

Deep explanation

Spark tries to schedule tasks on nodes where the data is local (PROCESS_LOCAL, NODE_LOCAL, RACK_LOCAL). If a local node is busy, Spark waits (spark.locality.wait) before moving data to a different node.

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