seniorApache Spark
Vectorized Query Execution.
Updated May 5, 2026
Short answer
Vectorized execution processes a batch of rows at once instead of one row at a time.
Deep explanation
By processing a batch of rows (e.g., 1024), Spark can leverage SIMD (Single Instruction, Multiple Data) CPU instructions and reduce the overhead of record-by-record iteration.
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