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xiaoli commented on SPARK-37034: -------------------------------- [~dongjoon] [~yumwang] [~cloud_fan] Sorry to ping you, as there is no answer/comments of this question for a week. All of you have contribute to spark's vectorized read, so I guess you may know something about this question. Could you look at this question? > What's the progress of vectorized execution for spark? > ------------------------------------------------------ > > Key: SPARK-37034 > URL: https://issues.apache.org/jira/browse/SPARK-37034 > Project: Spark > Issue Type: New Feature > Components: Spark Core > Affects Versions: 3.2.0 > Reporter: xiaoli > Priority: Major > > Spark has support vectorized read for ORC and parquet. What's the progress of > other vectorized execution, e.g. vectorized write, join, aggr, simple > operator (string function, math function)? > Hive support vectorized execution in early version > (https://cwiki.apache.org/confluence/display/hive/vectorized+query+execution) > As we know, Spark is replacement of Hive. I guess the reason why Spark does > not support vectorized execution maybe the difficulty of design or > implementation in Spark is larger. What's the main issue for Spark to support > vectorized execution? -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org