Tungsten is an umbrella name for several projects aimed at improving the performance and efficiency of Apache Spark. Key components include whole-stage code generation, which optimizes query execution by generating code that avoids virtual function calls; off-heap memory management, which reduces garbage collection overhead; and vectorized execution, which processes data in batches for increased throughput. These features contribute to faster query processing and improved resource utilization in Spark applications.
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