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📄 predicatepushdown.sql

📁 derby database source code.good for you.
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-- Test predicate pushdown into expressions in a FROM list.  As of-- DERBY-805 this test only looks at pushing predicates into UNION-- operators, but this test will likely grow as additional predicate-- pushdown functionality is added to Derby. Note that "noTimeout"-- is set to true for this test because we print out a lot of query-- plans and we don't want the plans to differ from one machine-- to another (which can happen if some machines are faster than-- others when noTimeout is false).-- Create the basic tables/views for DERBY-805 testing.CREATE TABLE "APP"."T1" ("I" INTEGER, "J" INTEGER);insert into t1 values (1, 2), (2, 4), (3, 6), (4, 8), (5, 10);CREATE TABLE "APP"."T2" ("I" INTEGER, "J" INTEGER);insert into t2 values (1, 2), (2, -4), (3, 6), (4, -8), (5, 10);CREATE TABLE "APP"."T3" ("A" INTEGER, "B" INTEGER);insert into T3 values (1,1), (2,2), (3,3), (4,4), (6, 24),  (7, 28), (8, 32), (9, 36), (10, 40); insert into t3 (a) values 11, 12, 13, 14, 15, 16, 17, 18, 19, 20;update t3 set b = 2 * a where a > 10;CREATE TABLE "APP"."T4" ("A" INTEGER, "B" INTEGER);insert into t4 values (3, 12), (4, 16);insert into t4 (a) values 11, 12, 13, 14, 15, 16, 17, 18, 19, 20;update t4 set b = 2 * a where a > 10;create view V1 as select i, j from T1 union select i,j from T2;create view V2 as select a,b from T3 union select a,b from T4;-- Now that we have the basic tables and views for the tests, run-- some quick queries to make sure that the optimizer will still -- consider NOT pushing the predicates and will instead do a hash-- join.  The optimizer should choose do this so long as doing so is-- the best choice, which usually means that we don't have indexes-- on the tables or else we have relatively small tables.  Start-- by checking the case of small (~20 row) tables.  We should-- see hash joins and table scans in ALL of these cases.call SYSCS_UTIL.SYSCS_SET_RUNTIMESTATISTICS(1);maximumdisplaywidth 20000;-- Basic cases.select * from V1, V2 where V1.j = V2.b;values SYSCS_UTIL.SYSCS_GET_RUNTIMESTATISTICS();select * from V2, V1 where V1.j = V2.b;values SYSCS_UTIL.SYSCS_GET_RUNTIMESTATISTICS(); -- Nested unions.select * from  (select * from t1 union    select * from t2 union      select * from t1 union        select * from t2  ) x1,  (select * from t3 union    select * from t4 union      select * from t4  ) x2where x1.i = x2.a;values SYSCS_UTIL.SYSCS_GET_RUNTIMESTATISTICS(); -- UNION ALLs.select * from  (select * from t1 union all select * from t2) x1,  (select * from t3 union select * from t4) x2where x1.i = x2.a;values SYSCS_UTIL.SYSCS_GET_RUNTIMESTATISTICS();select * from  (select * from t1 union select * from t2) x1,  (select * from t3 union all select * from t4) x2where x1.i = x2.a;values SYSCS_UTIL.SYSCS_GET_RUNTIMESTATISTICS();select * from  (select * from t1 union all select * from t2) x1,  (select * from t3 union all select * from t4) x2where x1.i = x2.a;values SYSCS_UTIL.SYSCS_GET_RUNTIMESTATISTICS();-- Next set of queries tests pushdown of predicates whose-- column references do not reference base tables--ex. they-- reference literals, aggregates, or subqueries.  We don't-- check the query plans here, we're just checking to make-- sure pushdown doesn't cause problems during compilation/-- execution.  In the case of regressions, errors that might-- show up here include compile-time NPEs, execution-time-- NPEs, errors saying no predicate was found for a hash join,-- and/or type comparison errors caused by incorrect column-- numbers for scoped predicates.create table tc (c1 char, c2 char, c3 char, c int);create view vz (z1, z2, z3, z4) as  select distinct xx1.c1, xx1.c2, 'bokibob' bb, xx1.c from    (select c1, c, c2, c3 from tc) xx1      union select 'i','j','j',i from t2;create view vz2 (z1, z2, z3, z4) as  select distinct xx1.c1, xx1.c2, 'bokibob' bb, xx1.c from    (select c1, c, c2, c3 from tc) xx1;-- Both sides of predicate reference aggregates.select x1.c1 from  (select count(*) from t1 union select count(*) from t2) x1 (c1),  (select count(*) from t3 union select count(*) from t4) x2 (c2)where x1.c1 = x2.c2;-- Both sides of predicate reference aggregates, and-- predicate is pushed through to non-flattenable nested-- subquery.select x1.c1 from  (select count(*) from    (select distinct j from t1) xx1      union select count(*) from t2    ) x1 (c1),  (select count(*) from t3 union select count(*) from t4) x2 (c2)where x1.c1 = x2.c2;-- Both sides of predicate reference aggregates, and-- predicate is pushed through to non-flattenable nested-- subquery that is in turn part of a nested union.select x1.c1 from  (select count(*) from    (select distinct j from t1 union select distinct j from t2) xx1      union select count(*) from t2  ) x1 (c1),  (select count(*) from t3 union select count(*) from t4) x2 (c2)where x1.c1 = x2.c2;-- Left side of predicate references base column, right side-- references aggregate; predicate is pushed through to non--- flattenable nested subquery.select x1.c1 from  (select xx1.c from    (select distinct c, c1 from tc) xx1      union select count(*) from t2    ) x1 (c1),  (select count(*) from t3 union select count(*) from t4) x2 (c2) where x1.c1 = x2.c2;-- Left side of predicate references base column, right side-- references aggregate; predicate is pushed through to non--- flattenable nested subquery.select x1.c1 from  (select xx1.c from    (select c, c1 from tc) xx1      union select count(*) from t2    ) x1 (c1),  (select count(*) from t3 union select count(*) from t4) x2 (c2)where x1.c1 = x2.c2;-- Left side of predicate references base column, right side-- side references aggregate; predicate is pushed through to-- a subquery in a nested union that has literals in its result-- column.select x1.z1 from  (select xx1.c1, xx1.c2, xx1.c, xx1.c3 from    (select c1, c2, c3, c from tc) xx1      union select 'i','j',j,'i' from t2  ) x1 (z1, z2, z3, z4),  (select count(*) from t3 union select count (*) from t4) x2 (c2)where x1.z3 = x2.c2;-- Both sides of predicate reference base columns; predicate-- predicate is pushed through to a subquery in a nested union-- that has literals in its result column.select x1.z1 from  (select xx1.c1, xx1.c2, xx1.c, xx1.c3 from    (select c1, c2, c3, c from tc) xx1      union select 'i','j',j,'i' from t2  ) x1 (z1, z2, z3, z4),  (select a from t3 union select count (*) from t4) x2 (c2)where x1.z3 = x2.c2;-- Same as previous query, but with aggregate/base column-- in x2 switched.select x1.z1 from  (select xx1.c1, xx1.c2, xx1.c, xx1.c3 from    (select c1, c2, c3, c from tc) xx1      union select 'i','j',j,'i' from t2  ) x1 (z1, z2, z3, z4),  (select count(*) from t3 union select a from t4) x2 (c2)where x1.z3 = x2.c2;-- Left side references aggregate, right side references base-- column; predicate is pushed to non-flattenable subquery-- that is part of a nested union for which one child references-- a base column and the other references an aggregate.select x1.c1 from  (select count(*) from    (select distinct j from t1) xx1      union select count(*) from t2  ) x1 (c1),  (select a from t3 union select a from t4) x2 (c2)where x1.c1 = x2.c2;-- Same as previous query, but both children of inner-most-- union reference base columns.select x1.c1 from  (select count(*) from    (select distinct j from t1) xx1      union select i from t2  ) x1 (c1),  (select a from t3 union select a from t4) x2 (c2)where x1.c1 = x2.c2;-- Left side references aggregate, right side references base-- column; predicate is pushed to non-flattenable subquery-- that is part of a nested union for which one child references-- a base column and the other references an aggregate.select x1.c1 from  (select count(*) from    (select distinct j from t1) xx1      union select count(*) from t2  ) x1 (c1),  (select i from t2 union select i from t1) x2 (c2)where x1.c1 = x2.c2;-- Same as previous query, but one child of x2 references-- a literal.select x1.c1 from  (select count(*) from    (select distinct j from t1) xx1      union select count(*) from t2  ) x1 (c1),  (select 1 from t2 union select i from t1) x2 (c2)where x1.c1 = x2.c2;-- Left side of predicate references a base column that is-- deeply nested inside a subquery, a union, and a view,-- the latter of which itself has a union between two-- nested subqueries (whew).  And finally, the position of-- the base column w.r.t the outer query (x1) is different-- than it is with respect to inner view (vz).select x1.z4 from  (select z1, z4, z3 from vz    union select '1', 4, '3' from t1  ) x1 (z1, z4, z3),  (select distinct j from t2 union select j from t1) x2 (c2)where x1.z4 = x2.c2;-- Same as previous query but with a different nested-- view (vz2) that is missing the nested union found-- in vz.select x1.z4 from  (select z1, z4, z3 from vz2    union select '1', 4, '3' from t1  ) x1 (z1, z4, z3),  (select distinct j from t2 union select j from t1) x2 (c2)where x1.z4 = x2.c2;-- Cleanup from this set of tests.drop view vz;drop view vz2;drop table tc;-- Now bump up the size of tables T3 and T4 to the point where-- use of indexes will cause optimizer to choose nested loop join-- (and push predicates) instead of hash join.  The following-- insertions put roughly 50,000 rows into T3 and into T4.-- These numbers are somewhat arbitrary, but please note that-- reducing the number of rows in these two tables could cause the-- optimizer to choose to skip pushing and instead use a hash join-- for some of the test queries.  That's not 'wrong' per se, but-- it's not what we want to test here...autocommit off;insert into t3 (a) values 21, 22, 23, 24, 25, 26, 27, 28, 29, 30;insert into t3 (a) values 31, 32, 33, 34, 35, 36, 37, 38, 39, 40;insert into t3 (a) values 41, 42, 43, 44, 45, 46, 47, 48, 49, 50;insert into t3 (a) values 51, 52, 53, 54, 55, 56, 57, 58, 59, 60;insert into t3 (a) values 61, 62, 63, 64, 65, 66, 67, 68, 69, 70;insert into t3 (a) values 71, 72, 73, 74, 75, 76, 77, 78, 79, 80;insert into t3 (a) values 81, 82, 83, 84, 85, 86, 87, 88, 89, 90;insert into t3 (a) values 91, 92, 93, 94, 95, 96, 97, 98, 99, 100;update t3 set b = 2 * a where a > 20;insert into t4 (a, b) (select a,b from t3 where a > 20);insert into t4 (a, b) (select a,b from t3 where a > 20);insert into t3 (a, b) (select a,b from t4 where a > 20);insert into t4 (a, b) (select a,b from t3 where a > 20);insert into t3 (a, b) (select a,b from t4 where a > 20);insert into t4 (a, b) (select a,b from t3 where a > 20);insert into t3 (a, b) (select a,b from t4 where a > 20);insert into t4 (a, b) (select a,b from t3 where a > 20);insert into t3 (a, b) (select a,b from t4 where a > 20);insert into t4 (a, b) (select a,b from t3 where a > 20);insert into t3 (a, b) (select a,b from t4 where a > 20);insert into t4 (a, b) (select a,b from t3 where a > 20);insert into t3 (a, b) (select a,b from t4 where a > 20);insert into t4 (a, b) (select a,b from t3 where a > 20);insert into t3 (a, b) (select a,b from t4 where a > 60);commit;autocommit on;-- See exactly how many rows we inserted, for sanity.select count(*) from t3;select count(*) from t4;-- At this point we create the indexes.  Note that we intentionally-- create the indexes AFTER loading the data, in order ensure that the-- index statistics are correct.  We need the stats to be correct in-- order for the optimizer to choose the correct plan (i.e. to push the-- join predicates where possible).CREATE INDEX "APP"."T3_IX1" ON "APP"."T3" ("A");CREATE INDEX "APP"."T3_IX2" ON "APP"."T3" ("B");CREATE INDEX "APP"."T4_IX1" ON "APP"."T4" ("A");CREATE INDEX "APP"."T4_IX2" ON "APP"."T4" ("B");-- Create the rest of objects used in this test.CREATE TABLE "APP"."T5" ("I" INTEGER, "J" INTEGER);insert into t5 values (5, 10);CREATE TABLE "APP"."T6" ("P" INTEGER, "Q" INTEGER);insert into t5 values (2, 4), (4, 8);CREATE TABLE "APP"."XX1" ("II" INTEGER NOT NULL, "JJ" CHAR(10),  "MM" INTEGER, "OO" DOUBLE, "KK" BIGINT);CREATE TABLE "APP"."YY1" ("II" INTEGER NOT NULL, "JJ" CHAR(10),  "AA" INTEGER, "OO" DOUBLE, "KK" BIGINT);ALTER TABLE "APP"."YY1" ADD CONSTRAINT "PK_YY1" PRIMARY KEY ("II");ALTER TABLE "APP"."XX1" ADD CONSTRAINT "PK_XX1" PRIMARY KEY ("II");create view xxunion as select all ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1 union all select ii, jj, kk, mm from xx1;create view yyunion as select all ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1 union all select ii, jj, kk, aa from yy1;-- And finally, run more extensive tests using the larger tables-- that have indexes.  In these tests the optimizer should consider-- pushing predicates where possible.  We can tell if a predicate-- has been "pushed" by looking at the query plan information for-- the tables in question: if the table has an index on a column that-- is used as part of the pushed predicate, then the optimizer will-- (for these tests) do an Index scan instead of a Table scan.  If-- the table does not have such an index then the predicate will show-- up as a "qualifier" for a Table scan.  In all of these tests T3 and-- T4 have appropriate indexes, so if we push a predicate to either-- of those tables we should see index scans.  Neither T1 nor T2-- has indexes, so if we push a predicate to either of those tables-- we should see a qualifier in the table scan information.-- Predicate push-down should occur for next two queries.  Thus we-- we should see Index scans for T3 and T4--and this should be the-- case regardless of the order of the FROM list.select * from V1, V2 where V1.j = V2.b;values SYSCS_UTIL.SYSCS_GET_RUNTIMESTATISTICS();select * from V2, V1 where V1.j = V2.b;values SYSCS_UTIL.SYSCS_GET_RUNTIMESTATISTICS();-- Changes for DERBY-805 don't affect non-join predicates (ex. "IN" or one--- sided predicates), but make sure things still behave--i.e. these queries-- should still compile and execute without error.  We don't expect to see-- any predicates pushed to T3 nor T4.select count(*) from V1, V2 where V1.i in (2,4);values SYSCS_UTIL.SYSCS_GET_RUNTIMESTATISTICS();select count(*) from V1, V2 where V1.j > 0;values SYSCS_UTIL.SYSCS_GET_RUNTIMESTATISTICS();-- Combination of join predicate and non-join predicate: the join predicate-- should be pushed to V2 (T3 and T4), the non-join predicate should operate-- as usual.select * from V1, V2 where V1.j = V2.b and V1.i in (2,4);values SYSCS_UTIL.SYSCS_GET_RUNTIMESTATISTICS();-- Make sure predicates are pushed even if the subquery is explicit (as

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