Details

Bug

Status: Closed

Major

Resolution: Fixed

None

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Description
If a lattice has a materialized tile on say columns (x, y, z), allow that tile to be used to evaluate a query on say ( x ) or (y, z). Implementation would require an extra aggregation to roll up from (x, y, z) to the actual column set (y, z).
Measures would need to be present in the materialization, and be able to be rolled up; for instance, count(a) is rolled up from a partial result p using sum(p). Min, max and sum roll up using themselves.
You can also compute aggregate functions on grouping columns, for example min( x ), and expressions of aggregate functions.
Given the a lattice with a single initially materialized tile,
{ auto: false, defaultMeasures: [ { agg: 'count' } ], tiles: [ { dimensions: [ 'the_year', ['t', 'quarter'] ], measures: [ { agg: 'sum', args: 'unit_sales' }, { agg: 'sum', args: 'store_sales' }, { agg: 'count' } ] } ] }
Optiq can satisfy the following query from that tile:
select t."the_year", count(*) as c, min("quarter") as q, sum("unit_sales") * 10 as us from "foodmart"."sales_fact_1997" as s join "foodmart"."time_by_day" as t using ("time_id") group by t."the_year"
Note that it rolls up from (the_year, quarter) to (the_year), rolls up count( * ) using sum, rolls up sum(unit_sales), and computes min(quarter) from a column (quarter) that is a dimension, not a measure, of the tile. And it automatically matches the tables joined in the query to the 5 joined tables in the SQL definition of the lattice (not shown above).
Attachments
Issue Links
 is related to

CALCITE402 Lattice should create materializations on demand
 Closed

CALCITE406 Add tile and measure elements to lattice model element
 Closed