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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1.15.0
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None
Description
For instance, the following query should be pushed as a time-series query with filters.
use ssb_druid; Time taken: 0.229 seconds, Fetched: 24 row(s) hive> > explain select > sum(discounted_price) > from > ssb_druid_day > where > lo_quantity = 25 ; OK Plan optimized by CBO. Vertex dependency in root stage Reducer 2 <- Map 1 (SIMPLE_EDGE) Stage-0 Fetch Operator limit:-1 Stage-1 Reducer 2 vectorized, llap File Output Operator [FS_14] Group By Operator [GBY_13] (rows=1 width=8) Output:["_col0"],aggregations:["sum(VALUE._col0)"] <-Map 1 [SIMPLE_EDGE] vectorized, llap SHUFFLE [RS_12] Group By Operator [GBY_11] (rows=1 width=8) Output:["_col0"],aggregations:["sum(discounted_price)"] Select Operator [SEL_10] (rows=1 width=0) Output:["discounted_price"] Filter Operator [FIL_9] (rows=1 width=0) predicate:(UDFToDouble(lo_quantity) = 25.0) TableScan [TS_0] (rows=5999989709 width=0) ssb_druid@ssb_druid_day,ssb_druid_day,Tbl:PARTIAL,Col:NONE,Output:["lo_quantity","discounted_price"],properties:{"druid.query.json":"{\"queryType\":\"select\",\"dataSource\":\"ssb_druid_day\",\"descending\":false,\"intervals\":[\"1900-01-01T00:00:00.000/3000-01-01T00:00:00.000\"],\"dimensions\":[\"c_city\",\"c_nation\",\"c_region\",\"d_weeknuminyear\",\"d_year\",\"d_yearmonth\",\"d_yearmonthnum\",\"lo_discount\",\"lo_quantity\",\"p_brand1\",\"p_category\",\"p_mfgr\",\"s_city\",\"s_nation\",\"s_region\"],\"metrics\":[\"lo_revenue\",\"discounted_price\",\"net_revenue\"],\"granularity\":\"all\",\"pagingSpec\":{\"threshold\":16384,\"fromNext\":true},\"context\":{\"druid.query.fetch\":false}}","druid.query.type":"select"}