Rakesh Raushan created SPARK-44817:
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Summary: Incremental Stats Collection
Key: SPARK-44817
URL: https://issues.apache.org/jira/browse/SPARK-44817
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 4.0.0
Reporter: Rakesh Raushan
Spark's Cost Based Optimizer is dependent on the table and column statistics.
After every execution of DML query, table and column stats are invalidated if
auto update of stats collection is not turned on. To keep stats updated we need
to run `ANALYZE TABLE COMPUTE STATISTICS` command which is very expensive. It
is not feasible to run this command after every DML query.
Instead, we can incrementally update the stats during each DML query run
itself. This way our table and column stats would be fresh at all the time and
CBO benefits can be applied.
*Pros:*
1. Optimize queries over table which is updated frequently.
2. Saves Compute cycles by removing dependency over `ANALYZE TABLE COMPUTE
STATISTICS` for updating stats.
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