Details
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Improvement
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Status: Closed
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Major
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Resolution: Fixed
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None
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None
Description
Goal
Provide a way to rewrite queries with combination of COUNT(Distinct) and Aggregates like SUM as a series of Group By.
This can be useful to push down to Druid queries like
select count(DISTINCT interval_marker), count (distinct dim), sum(num_l) FROM druid_test_table GROUP BY `__time`, `zone` ;
In general this can be useful to be used in cases where storage handlers can not perform count (distinct column)
How to do it.
Use the Calcite rule
org.apache.calcite.rel.rules.AggregateExpandDistinctAggregatesRule
that breaks down Count distinct to a single Group by with Grouping sets or multiple series of Group by that might be linked with Joins if multiple counts are present.
FYI today Hive does have a similar rule
org.apache.hadoop.hive.ql.optimizer.calcite.rules.HiveExpandDistinctAggregatesRule
, but it only provides a rewrite to Grouping sets based plan.
I am planing to use the actual Calcite rule, ashutoshc any concerns or caveats to be aware of?
Concerns/questions
Need to have a way to switch between Grouping sets or Simple chained group by based on the plan cost. For instance for Druid based scan it makes always sense (at least today) to push down a series of Group by and stitch result sets in Hive later (as oppose to scan everything).
But this might be not true for other storage handler that can handle Grouping sets it is better to push down the Grouping sets as one table scan.
Am still unsure how i can lean on the cost optimizer to select the best plan, ashutoshc/jcamachorodriguez any inputs?
Attachments
Attachments
1.
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Hive and Calcite have different semantics for Grouping sets |
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Open | Unassigned |
2.
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Unsupported Post join function 'IS NOT DISTINCT FROM' |
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Open | Unassigned |
3.
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Pushing Aggregates on Top of Aggregates |
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Open | Unassigned |