Summary
Apache Spark evaluates batch and structured streaming aggregations using three physical operators, where hash aggregate exec performs the fastest, object hash aggregate exec handles custom objects, and sort aggregate exec runs the slowest. Developers can optimize performance by expressing queries in SQL instead of custom code, using primitive data types for grouping keys, avoiding user-defined aggregate functions, and monitoring the number of sort fallback tasks metric.
Summary generated by brickster.ai from the video transcript.
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