Abhishek Girish created DRILL-5394:
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Summary: Optimize query planning for MapR-DB tables by caching row
counts
Key: DRILL-5394
URL: https://issues.apache.org/jira/browse/DRILL-5394
Project: Apache Drill
Issue Type: Improvement
Components: Query Planning & Optimization, Storage - MapRDB
Affects Versions: 1.9.0, 1.10.0
Reporter: Abhishek Girish
Assignee: Padma Penumarthy
Fix For: 1.11.0
On large MapR-DB tables, it was observed that the query planning time was
longer than expected. With DEBUG logs, it was understood that there were
multiple calls being made to get MapR-DB region locations and to fetch total
row count for tables.
{code}
2017-02-23 13:59:55,246 [27513143-8718-7a47-a2d4-06850755568a:foreman] DEBUG
o.a.d.e.s.m.d.b.BinaryTableGroupScan - Getting region locations
2017-02-23 14:00:05,006 [27513143-8718-7a47-a2d4-06850755568a:foreman] DEBUG
o.a.d.e.planner.logical.DrillOptiq - Function
...
2017-02-23 14:00:05,031 [27513143-8718-7a47-a2d4-06850755568a:foreman] DEBUG
o.a.d.e.s.m.d.b.BinaryTableGroupScan - Getting region locations
2017-02-23 14:00:16,438 [27513143-8718-7a47-a2d4-06850755568a:foreman] DEBUG
o.a.d.e.planner.logical.DrillOptiq - Special
...
2017-02-23 14:00:16,439 [27513143-8718-7a47-a2d4-06850755568a:foreman] DEBUG
o.a.d.e.s.m.d.b.BinaryTableGroupScan - Getting region locations
2017-02-23 14:00:28,479 [27513143-8718-7a47-a2d4-06850755568a:foreman] DEBUG
o.a.d.e.planner.logical.DrillOptiq - Special
...
2017-02-23 14:00:28,480 [27513143-8718-7a47-a2d4-06850755568a:foreman] DEBUG
o.a.d.e.s.m.d.b.BinaryTableGroupScan - Getting region locations
2017-02-23 14:00:42,396 [27513143-8718-7a47-a2d4-06850755568a:foreman] DEBUG
o.a.d.e.planner.logical.DrillOptiq - Special
...
2017-02-23 14:00:42,397 [27513143-8718-7a47-a2d4-06850755568a:foreman] DEBUG
o.a.d.e.s.m.d.b.BinaryTableGroupScan - Getting region locations
2017-02-23 14:00:54,609 [27513143-8718-7a47-a2d4-06850755568a:foreman] DEBUG
o.a.d.e.p.s.h.DefaultSqlHandler - VOLCANO:Physical Planning (49588ms):
{code}
We should cache these stats and reuse them where all required during query
planning. This should help reduce query planning time.
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