Jitendra Nath Pandey created HIVE-4160:
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Summary: Vectorized Query Execution in Hive
Key: HIVE-4160
URL: https://issues.apache.org/jira/browse/HIVE-4160
Project: Hive
Issue Type: New Feature
Reporter: Jitendra Nath Pandey
Assignee: Jitendra Nath Pandey
Hive query execution engine currently processes one row at a time. A single
row of data goes through all the operators before next row can be processed.
This mode of processing is very inefficient in terms of CPU usage. Research has
demonstrated that this yields very low instructions per cycle [MonetDB]. Also
currently hive heavily relies on lazy deserialization and data columns go
through a layer of object inspectors that identify column type, de-serialize
data and determine appropriate expression routines in the inner loop. These
layers of virtual method calls further slow down the processing.
Reference: http://www-db.cs.wisc.edu/cidr/cidr2005/papers/P19.pdf
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