aggregates.sql

来自「postgresql8.3.4源码,开源数据库」· SQL 代码 · 共 227 行

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---- AGGREGATES--SELECT avg(four) AS avg_1 FROM onek;SELECT avg(a) AS avg_32 FROM aggtest WHERE a < 100;-- In 7.1, avg(float4) is computed using float8 arithmetic.-- Round the result to 3 digits to avoid platform-specific results.SELECT avg(b)::numeric(10,3) AS avg_107_943 FROM aggtest;SELECT avg(gpa) AS avg_3_4 FROM ONLY student;SELECT sum(four) AS sum_1500 FROM onek;SELECT sum(a) AS sum_198 FROM aggtest;SELECT sum(b) AS avg_431_773 FROM aggtest;SELECT sum(gpa) AS avg_6_8 FROM ONLY student;SELECT max(four) AS max_3 FROM onek;SELECT max(a) AS max_100 FROM aggtest;SELECT max(aggtest.b) AS max_324_78 FROM aggtest;SELECT max(student.gpa) AS max_3_7 FROM student;SELECT stddev_pop(b) FROM aggtest;SELECT stddev_samp(b) FROM aggtest;SELECT var_pop(b) FROM aggtest;SELECT var_samp(b) FROM aggtest;SELECT stddev_pop(b::numeric) FROM aggtest;SELECT stddev_samp(b::numeric) FROM aggtest;SELECT var_pop(b::numeric) FROM aggtest;SELECT var_samp(b::numeric) FROM aggtest;-- population variance is defined for a single tuple, sample variance-- is notSELECT var_pop(1.0), var_samp(2.0);SELECT stddev_pop(3.0::numeric), stddev_samp(4.0::numeric);-- SQL2003 binary aggregatesSELECT regr_count(b, a) FROM aggtest;SELECT regr_sxx(b, a) FROM aggtest;SELECT regr_syy(b, a) FROM aggtest;SELECT regr_sxy(b, a) FROM aggtest;SELECT regr_avgx(b, a), regr_avgy(b, a) FROM aggtest;SELECT regr_r2(b, a) FROM aggtest;SELECT regr_slope(b, a), regr_intercept(b, a) FROM aggtest;SELECT covar_pop(b, a), covar_samp(b, a) FROM aggtest;SELECT corr(b, a) FROM aggtest;SELECT count(four) AS cnt_1000 FROM onek;SELECT count(DISTINCT four) AS cnt_4 FROM onek;select ten, count(*), sum(four) from onekgroup by ten order by ten;select ten, count(four), sum(DISTINCT four) from onekgroup by ten order by ten;-- user-defined aggregatesSELECT newavg(four) AS avg_1 FROM onek;SELECT newsum(four) AS sum_1500 FROM onek;SELECT newcnt(four) AS cnt_1000 FROM onek;SELECT newcnt(*) AS cnt_1000 FROM onek;SELECT oldcnt(*) AS cnt_1000 FROM onek;SELECT sum2(q1,q2) FROM int8_tbl;-- test for outer-level aggregates-- this should workselect ten, sum(distinct four) from onek agroup by tenhaving exists (select 1 from onek b where sum(distinct a.four) = b.four);-- this should fail because subquery has an agg of its own in WHEREselect ten, sum(distinct four) from onek agroup by tenhaving exists (select 1 from onek b               where sum(distinct a.four + b.four) = b.four);---- test for bitwise integer aggregates--CREATE TEMPORARY TABLE bitwise_test(  i2 INT2,  i4 INT4,  i8 INT8,  i INTEGER,  x INT2,  y BIT(4));-- empty caseSELECT   BIT_AND(i2) AS "?",  BIT_OR(i4)  AS "?"FROM bitwise_test;COPY bitwise_test FROM STDIN NULL 'null';1	1	1	1	1	B01013	3	3	null	2	B01007	7	7	3	4	B1100\.SELECT  BIT_AND(i2) AS "1",  BIT_AND(i4) AS "1",  BIT_AND(i8) AS "1",  BIT_AND(i)  AS "?",  BIT_AND(x)  AS "0",  BIT_AND(y)  AS "0100",  BIT_OR(i2)  AS "7",  BIT_OR(i4)  AS "7",  BIT_OR(i8)  AS "7",  BIT_OR(i)   AS "?",  BIT_OR(x)   AS "7",  BIT_OR(y)   AS "1101"FROM bitwise_test;---- test boolean aggregates---- first test all possible transition and final statesSELECT  -- boolean and transitions  -- null because strict  booland_statefunc(NULL, NULL)  IS NULL AS "t",  booland_statefunc(TRUE, NULL)  IS NULL AS "t",  booland_statefunc(FALSE, NULL) IS NULL AS "t",  booland_statefunc(NULL, TRUE)  IS NULL AS "t",  booland_statefunc(NULL, FALSE) IS NULL AS "t",  -- and actual computations  booland_statefunc(TRUE, TRUE) AS "t",  NOT booland_statefunc(TRUE, FALSE) AS "t",  NOT booland_statefunc(FALSE, TRUE) AS "t",  NOT booland_statefunc(FALSE, FALSE) AS "t";SELECT  -- boolean or transitions  -- null because strict  boolor_statefunc(NULL, NULL)  IS NULL AS "t",  boolor_statefunc(TRUE, NULL)  IS NULL AS "t",  boolor_statefunc(FALSE, NULL) IS NULL AS "t",  boolor_statefunc(NULL, TRUE)  IS NULL AS "t",  boolor_statefunc(NULL, FALSE) IS NULL AS "t",  -- actual computations  boolor_statefunc(TRUE, TRUE) AS "t",  boolor_statefunc(TRUE, FALSE) AS "t",  boolor_statefunc(FALSE, TRUE) AS "t",  NOT boolor_statefunc(FALSE, FALSE) AS "t";CREATE TEMPORARY TABLE bool_test(    b1 BOOL,  b2 BOOL,  b3 BOOL,  b4 BOOL);-- empty caseSELECT  BOOL_AND(b1)   AS "n",  BOOL_OR(b3)    AS "n"FROM bool_test;COPY bool_test FROM STDIN NULL 'null';TRUE	null	FALSE	nullFALSE	TRUE	null	nullnull	TRUE	FALSE	null\.SELECT  BOOL_AND(b1)     AS "f",  BOOL_AND(b2)     AS "t",  BOOL_AND(b3)     AS "f",  BOOL_AND(b4)     AS "n",  BOOL_AND(NOT b2) AS "f",  BOOL_AND(NOT b3) AS "t"FROM bool_test;SELECT  EVERY(b1)     AS "f",  EVERY(b2)     AS "t",  EVERY(b3)     AS "f",  EVERY(b4)     AS "n",  EVERY(NOT b2) AS "f",  EVERY(NOT b3) AS "t"FROM bool_test;SELECT  BOOL_OR(b1)      AS "t",  BOOL_OR(b2)      AS "t",  BOOL_OR(b3)      AS "f",  BOOL_OR(b4)      AS "n",  BOOL_OR(NOT b2)  AS "f",  BOOL_OR(NOT b3)  AS "t"FROM bool_test;---- Test several cases that should be optimized into indexscans instead of-- the generic aggregate implementation.  We can't actually verify that they-- are done as indexscans, but we can check that the results are correct.---- Basic casesselect max(unique1) from tenk1;select max(unique1) from tenk1 where unique1 < 42;select max(unique1) from tenk1 where unique1 > 42;select max(unique1) from tenk1 where unique1 > 42000;-- multi-column index (uses tenk1_thous_tenthous)select max(tenthous) from tenk1 where thousand = 33;select min(tenthous) from tenk1 where thousand = 33;-- check parameter propagation into an indexscan subqueryselect f1, (select min(unique1) from tenk1 where unique1 > f1) AS gtfrom int4_tbl;-- check some cases that were handled incorrectly in 8.3.0select distinct max(unique2) from tenk1;select max(unique2) from tenk1 order by 1;select max(unique2) from tenk1 order by max(unique2);select max(unique2) from tenk1 order by max(unique2)+1;select max(unique2), generate_series(1,3) as g from tenk1 order by g desc;

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