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b560ec1b0d
This is SQL-standard with a few extensions, namely support for subqueries and outer references in clause expressions. catversion bump due to change in Aggref and WindowFunc. David Fetter, reviewed by Dean Rasheed.
483 lines
15 KiB
SQL
483 lines
15 KiB
SQL
--
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-- AGGREGATES
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--
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SELECT avg(four) AS avg_1 FROM onek;
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SELECT avg(a) AS avg_32 FROM aggtest WHERE a < 100;
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-- In 7.1, avg(float4) is computed using float8 arithmetic.
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-- Round the result to 3 digits to avoid platform-specific results.
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SELECT avg(b)::numeric(10,3) AS avg_107_943 FROM aggtest;
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SELECT avg(gpa) AS avg_3_4 FROM ONLY student;
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SELECT sum(four) AS sum_1500 FROM onek;
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SELECT sum(a) AS sum_198 FROM aggtest;
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SELECT sum(b) AS avg_431_773 FROM aggtest;
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SELECT sum(gpa) AS avg_6_8 FROM ONLY student;
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SELECT max(four) AS max_3 FROM onek;
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SELECT max(a) AS max_100 FROM aggtest;
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SELECT max(aggtest.b) AS max_324_78 FROM aggtest;
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SELECT max(student.gpa) AS max_3_7 FROM student;
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SELECT stddev_pop(b) FROM aggtest;
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SELECT stddev_samp(b) FROM aggtest;
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SELECT var_pop(b) FROM aggtest;
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SELECT var_samp(b) FROM aggtest;
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SELECT stddev_pop(b::numeric) FROM aggtest;
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SELECT stddev_samp(b::numeric) FROM aggtest;
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SELECT var_pop(b::numeric) FROM aggtest;
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SELECT var_samp(b::numeric) FROM aggtest;
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-- population variance is defined for a single tuple, sample variance
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-- is not
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SELECT var_pop(1.0), var_samp(2.0);
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SELECT stddev_pop(3.0::numeric), stddev_samp(4.0::numeric);
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-- SQL2003 binary aggregates
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SELECT regr_count(b, a) FROM aggtest;
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SELECT regr_sxx(b, a) FROM aggtest;
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SELECT regr_syy(b, a) FROM aggtest;
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SELECT regr_sxy(b, a) FROM aggtest;
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SELECT regr_avgx(b, a), regr_avgy(b, a) FROM aggtest;
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SELECT regr_r2(b, a) FROM aggtest;
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SELECT regr_slope(b, a), regr_intercept(b, a) FROM aggtest;
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SELECT covar_pop(b, a), covar_samp(b, a) FROM aggtest;
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SELECT corr(b, a) FROM aggtest;
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SELECT count(four) AS cnt_1000 FROM onek;
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SELECT count(DISTINCT four) AS cnt_4 FROM onek;
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select ten, count(*), sum(four) from onek
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group by ten order by ten;
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select ten, count(four), sum(DISTINCT four) from onek
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group by ten order by ten;
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-- user-defined aggregates
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SELECT newavg(four) AS avg_1 FROM onek;
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SELECT newsum(four) AS sum_1500 FROM onek;
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SELECT newcnt(four) AS cnt_1000 FROM onek;
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SELECT newcnt(*) AS cnt_1000 FROM onek;
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SELECT oldcnt(*) AS cnt_1000 FROM onek;
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SELECT sum2(q1,q2) FROM int8_tbl;
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-- test for outer-level aggregates
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-- this should work
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select ten, sum(distinct four) from onek a
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group by ten
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having exists (select 1 from onek b where sum(distinct a.four) = b.four);
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-- this should fail because subquery has an agg of its own in WHERE
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select ten, sum(distinct four) from onek a
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group by ten
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having exists (select 1 from onek b
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where sum(distinct a.four + b.four) = b.four);
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-- Test handling of sublinks within outer-level aggregates.
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-- Per bug report from Daniel Grace.
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select
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(select max((select i.unique2 from tenk1 i where i.unique1 = o.unique1)))
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from tenk1 o;
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--
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-- test for bitwise integer aggregates
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--
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CREATE TEMPORARY TABLE bitwise_test(
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i2 INT2,
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i4 INT4,
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i8 INT8,
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i INTEGER,
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x INT2,
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y BIT(4)
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);
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-- empty case
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SELECT
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BIT_AND(i2) AS "?",
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BIT_OR(i4) AS "?"
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FROM bitwise_test;
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COPY bitwise_test FROM STDIN NULL 'null';
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1 1 1 1 1 B0101
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3 3 3 null 2 B0100
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7 7 7 3 4 B1100
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\.
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SELECT
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BIT_AND(i2) AS "1",
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BIT_AND(i4) AS "1",
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BIT_AND(i8) AS "1",
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BIT_AND(i) AS "?",
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BIT_AND(x) AS "0",
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BIT_AND(y) AS "0100",
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BIT_OR(i2) AS "7",
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BIT_OR(i4) AS "7",
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BIT_OR(i8) AS "7",
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BIT_OR(i) AS "?",
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BIT_OR(x) AS "7",
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BIT_OR(y) AS "1101"
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FROM bitwise_test;
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--
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-- test boolean aggregates
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--
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-- first test all possible transition and final states
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SELECT
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-- boolean and transitions
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-- null because strict
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booland_statefunc(NULL, NULL) IS NULL AS "t",
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booland_statefunc(TRUE, NULL) IS NULL AS "t",
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booland_statefunc(FALSE, NULL) IS NULL AS "t",
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booland_statefunc(NULL, TRUE) IS NULL AS "t",
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booland_statefunc(NULL, FALSE) IS NULL AS "t",
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-- and actual computations
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booland_statefunc(TRUE, TRUE) AS "t",
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NOT booland_statefunc(TRUE, FALSE) AS "t",
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NOT booland_statefunc(FALSE, TRUE) AS "t",
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NOT booland_statefunc(FALSE, FALSE) AS "t";
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SELECT
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-- boolean or transitions
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-- null because strict
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boolor_statefunc(NULL, NULL) IS NULL AS "t",
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boolor_statefunc(TRUE, NULL) IS NULL AS "t",
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boolor_statefunc(FALSE, NULL) IS NULL AS "t",
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boolor_statefunc(NULL, TRUE) IS NULL AS "t",
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boolor_statefunc(NULL, FALSE) IS NULL AS "t",
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-- actual computations
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boolor_statefunc(TRUE, TRUE) AS "t",
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boolor_statefunc(TRUE, FALSE) AS "t",
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boolor_statefunc(FALSE, TRUE) AS "t",
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NOT boolor_statefunc(FALSE, FALSE) AS "t";
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CREATE TEMPORARY TABLE bool_test(
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b1 BOOL,
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b2 BOOL,
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b3 BOOL,
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b4 BOOL);
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-- empty case
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SELECT
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BOOL_AND(b1) AS "n",
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BOOL_OR(b3) AS "n"
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FROM bool_test;
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COPY bool_test FROM STDIN NULL 'null';
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TRUE null FALSE null
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FALSE TRUE null null
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null TRUE FALSE null
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\.
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SELECT
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BOOL_AND(b1) AS "f",
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BOOL_AND(b2) AS "t",
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BOOL_AND(b3) AS "f",
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BOOL_AND(b4) AS "n",
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BOOL_AND(NOT b2) AS "f",
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BOOL_AND(NOT b3) AS "t"
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FROM bool_test;
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SELECT
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EVERY(b1) AS "f",
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EVERY(b2) AS "t",
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EVERY(b3) AS "f",
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EVERY(b4) AS "n",
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EVERY(NOT b2) AS "f",
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EVERY(NOT b3) AS "t"
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FROM bool_test;
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SELECT
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BOOL_OR(b1) AS "t",
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BOOL_OR(b2) AS "t",
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BOOL_OR(b3) AS "f",
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BOOL_OR(b4) AS "n",
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BOOL_OR(NOT b2) AS "f",
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BOOL_OR(NOT b3) AS "t"
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FROM bool_test;
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--
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-- Test cases that should be optimized into indexscans instead of
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-- the generic aggregate implementation.
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--
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analyze tenk1; -- ensure we get consistent plans here
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-- Basic cases
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explain (costs off)
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select min(unique1) from tenk1;
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select min(unique1) from tenk1;
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explain (costs off)
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select max(unique1) from tenk1;
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select max(unique1) from tenk1;
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explain (costs off)
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select max(unique1) from tenk1 where unique1 < 42;
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select max(unique1) from tenk1 where unique1 < 42;
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explain (costs off)
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select max(unique1) from tenk1 where unique1 > 42;
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select max(unique1) from tenk1 where unique1 > 42;
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explain (costs off)
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select max(unique1) from tenk1 where unique1 > 42000;
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select max(unique1) from tenk1 where unique1 > 42000;
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-- multi-column index (uses tenk1_thous_tenthous)
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explain (costs off)
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select max(tenthous) from tenk1 where thousand = 33;
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select max(tenthous) from tenk1 where thousand = 33;
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explain (costs off)
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select min(tenthous) from tenk1 where thousand = 33;
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select min(tenthous) from tenk1 where thousand = 33;
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-- check parameter propagation into an indexscan subquery
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explain (costs off)
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select f1, (select min(unique1) from tenk1 where unique1 > f1) AS gt
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from int4_tbl;
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select f1, (select min(unique1) from tenk1 where unique1 > f1) AS gt
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from int4_tbl;
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-- check some cases that were handled incorrectly in 8.3.0
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explain (costs off)
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select distinct max(unique2) from tenk1;
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select distinct max(unique2) from tenk1;
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explain (costs off)
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select max(unique2) from tenk1 order by 1;
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select max(unique2) from tenk1 order by 1;
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explain (costs off)
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select max(unique2) from tenk1 order by max(unique2);
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select max(unique2) from tenk1 order by max(unique2);
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explain (costs off)
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select max(unique2) from tenk1 order by max(unique2)+1;
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select max(unique2) from tenk1 order by max(unique2)+1;
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explain (costs off)
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select max(unique2), generate_series(1,3) as g from tenk1 order by g desc;
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select max(unique2), generate_series(1,3) as g from tenk1 order by g desc;
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-- try it on an inheritance tree
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create table minmaxtest(f1 int);
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create table minmaxtest1() inherits (minmaxtest);
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create table minmaxtest2() inherits (minmaxtest);
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create table minmaxtest3() inherits (minmaxtest);
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create index minmaxtesti on minmaxtest(f1);
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create index minmaxtest1i on minmaxtest1(f1);
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create index minmaxtest2i on minmaxtest2(f1 desc);
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create index minmaxtest3i on minmaxtest3(f1) where f1 is not null;
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insert into minmaxtest values(11), (12);
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insert into minmaxtest1 values(13), (14);
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insert into minmaxtest2 values(15), (16);
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insert into minmaxtest3 values(17), (18);
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explain (costs off)
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select min(f1), max(f1) from minmaxtest;
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select min(f1), max(f1) from minmaxtest;
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-- DISTINCT doesn't do anything useful here, but it shouldn't fail
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explain (costs off)
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select distinct min(f1), max(f1) from minmaxtest;
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select distinct min(f1), max(f1) from minmaxtest;
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drop table minmaxtest cascade;
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-- check for correct detection of nested-aggregate errors
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select max(min(unique1)) from tenk1;
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select (select max(min(unique1)) from int8_tbl) from tenk1;
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--
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-- Test combinations of DISTINCT and/or ORDER BY
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--
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select array_agg(a order by b)
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from (values (1,4),(2,3),(3,1),(4,2)) v(a,b);
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select array_agg(a order by a)
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from (values (1,4),(2,3),(3,1),(4,2)) v(a,b);
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select array_agg(a order by a desc)
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from (values (1,4),(2,3),(3,1),(4,2)) v(a,b);
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select array_agg(b order by a desc)
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from (values (1,4),(2,3),(3,1),(4,2)) v(a,b);
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select array_agg(distinct a)
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from (values (1),(2),(1),(3),(null),(2)) v(a);
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select array_agg(distinct a order by a)
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from (values (1),(2),(1),(3),(null),(2)) v(a);
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select array_agg(distinct a order by a desc)
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from (values (1),(2),(1),(3),(null),(2)) v(a);
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select array_agg(distinct a order by a desc nulls last)
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from (values (1),(2),(1),(3),(null),(2)) v(a);
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-- multi-arg aggs, strict/nonstrict, distinct/order by
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select aggfstr(a,b,c)
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from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c);
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select aggfns(a,b,c)
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from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c);
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select aggfstr(distinct a,b,c)
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from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
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generate_series(1,3) i;
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select aggfns(distinct a,b,c)
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from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
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generate_series(1,3) i;
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select aggfstr(distinct a,b,c order by b)
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from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
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generate_series(1,3) i;
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select aggfns(distinct a,b,c order by b)
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from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
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generate_series(1,3) i;
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-- test specific code paths
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select aggfns(distinct a,a,c order by c using ~<~,a)
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from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
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generate_series(1,2) i;
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select aggfns(distinct a,a,c order by c using ~<~)
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from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
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generate_series(1,2) i;
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select aggfns(distinct a,a,c order by a)
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from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
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generate_series(1,2) i;
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select aggfns(distinct a,b,c order by a,c using ~<~,b)
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from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
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generate_series(1,2) i;
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-- check node I/O via view creation and usage, also deparsing logic
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create view agg_view1 as
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select aggfns(a,b,c)
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from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c);
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select * from agg_view1;
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select pg_get_viewdef('agg_view1'::regclass);
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create or replace view agg_view1 as
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select aggfns(distinct a,b,c)
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from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
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generate_series(1,3) i;
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select * from agg_view1;
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select pg_get_viewdef('agg_view1'::regclass);
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create or replace view agg_view1 as
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select aggfns(distinct a,b,c order by b)
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from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
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generate_series(1,3) i;
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select * from agg_view1;
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select pg_get_viewdef('agg_view1'::regclass);
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create or replace view agg_view1 as
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select aggfns(a,b,c order by b+1)
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from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c);
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select * from agg_view1;
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select pg_get_viewdef('agg_view1'::regclass);
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create or replace view agg_view1 as
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select aggfns(a,a,c order by b)
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from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c);
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select * from agg_view1;
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select pg_get_viewdef('agg_view1'::regclass);
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create or replace view agg_view1 as
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select aggfns(a,b,c order by c using ~<~)
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from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c);
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select * from agg_view1;
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select pg_get_viewdef('agg_view1'::regclass);
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create or replace view agg_view1 as
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select aggfns(distinct a,b,c order by a,c using ~<~,b)
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from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
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generate_series(1,2) i;
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select * from agg_view1;
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select pg_get_viewdef('agg_view1'::regclass);
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drop view agg_view1;
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-- incorrect DISTINCT usage errors
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select aggfns(distinct a,b,c order by i)
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from (values (1,1,'foo')) v(a,b,c), generate_series(1,2) i;
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select aggfns(distinct a,b,c order by a,b+1)
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from (values (1,1,'foo')) v(a,b,c), generate_series(1,2) i;
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select aggfns(distinct a,b,c order by a,b,i,c)
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from (values (1,1,'foo')) v(a,b,c), generate_series(1,2) i;
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select aggfns(distinct a,a,c order by a,b)
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from (values (1,1,'foo')) v(a,b,c), generate_series(1,2) i;
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-- string_agg tests
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select string_agg(a,',') from (values('aaaa'),('bbbb'),('cccc')) g(a);
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select string_agg(a,',') from (values('aaaa'),(null),('bbbb'),('cccc')) g(a);
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select string_agg(a,'AB') from (values(null),(null),('bbbb'),('cccc')) g(a);
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select string_agg(a,',') from (values(null),(null)) g(a);
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-- check some implicit casting cases, as per bug #5564
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select string_agg(distinct f1, ',' order by f1) from varchar_tbl; -- ok
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select string_agg(distinct f1::text, ',' order by f1) from varchar_tbl; -- not ok
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select string_agg(distinct f1, ',' order by f1::text) from varchar_tbl; -- not ok
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select string_agg(distinct f1::text, ',' order by f1::text) from varchar_tbl; -- ok
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-- string_agg bytea tests
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create table bytea_test_table(v bytea);
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select string_agg(v, '') from bytea_test_table;
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insert into bytea_test_table values(decode('ff','hex'));
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select string_agg(v, '') from bytea_test_table;
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insert into bytea_test_table values(decode('aa','hex'));
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select string_agg(v, '') from bytea_test_table;
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select string_agg(v, NULL) from bytea_test_table;
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select string_agg(v, decode('ee', 'hex')) from bytea_test_table;
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drop table bytea_test_table;
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-- FILTER tests
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select min(unique1) filter (where unique1 > 100) from tenk1;
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select ten, sum(distinct four) filter (where four::text ~ '123') from onek a
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group by ten;
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select ten, sum(distinct four) filter (where four > 10) from onek a
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group by ten
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having exists (select 1 from onek b where sum(distinct a.four) = b.four);
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select max(foo COLLATE "C") filter (where (bar collate "POSIX") > '0')
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from (values ('a', 'b')) AS v(foo,bar);
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-- outer reference in FILTER (PostgreSQL extension)
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select (select count(*)
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from (values (1)) t0(inner_c))
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from (values (2),(3)) t1(outer_c); -- inner query is aggregation query
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select (select count(*) filter (where outer_c <> 0)
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from (values (1)) t0(inner_c))
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from (values (2),(3)) t1(outer_c); -- outer query is aggregation query
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select (select count(inner_c) filter (where outer_c <> 0)
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from (values (1)) t0(inner_c))
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from (values (2),(3)) t1(outer_c); -- inner query is aggregation query
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select
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(select max((select i.unique2 from tenk1 i where i.unique1 = o.unique1))
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filter (where o.unique1 < 10))
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from tenk1 o; -- outer query is aggregation query
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-- subquery in FILTER clause (PostgreSQL extension)
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select sum(unique1) FILTER (WHERE
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unique1 IN (SELECT unique1 FROM onek where unique1 < 100)) FROM tenk1;
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-- exercise lots of aggregate parts with FILTER
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select aggfns(distinct a,b,c order by a,c using ~<~,b) filter (where a > 1)
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from (values (1,3,'foo'),(0,null,null),(2,2,'bar'),(3,1,'baz')) v(a,b,c),
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generate_series(1,2) i;
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