postgresql/src/test/regress/expected/select_distinct.out

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--
-- SELECT_DISTINCT
--
--
-- awk '{print $3;}' onek.data | sort -n | uniq
--
SELECT DISTINCT two FROM onek ORDER BY 1;
two
-----
0
1
(2 rows)
--
-- awk '{print $5;}' onek.data | sort -n | uniq
--
SELECT DISTINCT ten FROM onek ORDER BY 1;
ten
-----
0
1
2
3
4
5
6
7
8
9
(10 rows)
--
-- awk '{print $16;}' onek.data | sort -d | uniq
--
SELECT DISTINCT string4 FROM onek ORDER BY 1;
string4
---------
AAAAxx
HHHHxx
OOOOxx
VVVVxx
(4 rows)
--
-- awk '{print $3,$16,$5;}' onek.data | sort -d | uniq |
-- sort +0n -1 +1d -2 +2n -3
--
SELECT DISTINCT two, string4, ten
FROM onek
ORDER BY two using <, string4 using <, ten using <;
two | string4 | ten
-----+---------+-----
0 | AAAAxx | 0
0 | AAAAxx | 2
0 | AAAAxx | 4
0 | AAAAxx | 6
0 | AAAAxx | 8
0 | HHHHxx | 0
0 | HHHHxx | 2
0 | HHHHxx | 4
0 | HHHHxx | 6
0 | HHHHxx | 8
0 | OOOOxx | 0
0 | OOOOxx | 2
0 | OOOOxx | 4
0 | OOOOxx | 6
0 | OOOOxx | 8
0 | VVVVxx | 0
0 | VVVVxx | 2
0 | VVVVxx | 4
0 | VVVVxx | 6
0 | VVVVxx | 8
1 | AAAAxx | 1
1 | AAAAxx | 3
1 | AAAAxx | 5
1 | AAAAxx | 7
1 | AAAAxx | 9
1 | HHHHxx | 1
1 | HHHHxx | 3
1 | HHHHxx | 5
1 | HHHHxx | 7
1 | HHHHxx | 9
1 | OOOOxx | 1
1 | OOOOxx | 3
1 | OOOOxx | 5
1 | OOOOxx | 7
1 | OOOOxx | 9
1 | VVVVxx | 1
1 | VVVVxx | 3
1 | VVVVxx | 5
1 | VVVVxx | 7
1 | VVVVxx | 9
(40 rows)
--
-- awk '{print $2;}' person.data |
-- awk '{if(NF!=1){print $2;}else{print;}}' - emp.data |
-- awk '{if(NF!=1){print $2;}else{print;}}' - student.data |
-- awk 'BEGIN{FS=" ";}{if(NF!=1){print $5;}else{print;}}' - stud_emp.data |
-- sort -n -r | uniq
--
SELECT DISTINCT p.age FROM person* p ORDER BY age using >;
age
-----
98
88
78
68
60
58
50
48
40
38
34
30
28
25
24
23
20
19
18
8
(20 rows)
--
-- Check mentioning same column more than once
--
EXPLAIN (VERBOSE, COSTS OFF)
SELECT count(*) FROM
(SELECT DISTINCT two, four, two FROM tenk1) ss;
QUERY PLAN
--------------------------------------------------------
Aggregate
Output: count(*)
-> HashAggregate
Output: tenk1.two, tenk1.four, tenk1.two
Group Key: tenk1.two, tenk1.four
-> Seq Scan on public.tenk1
Output: tenk1.two, tenk1.four, tenk1.two
(7 rows)
SELECT count(*) FROM
(SELECT DISTINCT two, four, two FROM tenk1) ss;
count
-------
4
(1 row)
--
-- Compare results between plans using sorting and plans using hash
-- aggregation. Force spilling in both cases by setting work_mem low.
--
SET work_mem='64kB';
-- Produce results with sorting.
SET enable_hashagg=FALSE;
SET jit_above_cost=0;
EXPLAIN (costs off)
SELECT DISTINCT g%1000 FROM generate_series(0,9999) g;
QUERY PLAN
------------------------------------------------
Unique
-> Sort
Sort Key: ((g % 1000))
-> Function Scan on generate_series g
(4 rows)
CREATE TABLE distinct_group_1 AS
SELECT DISTINCT g%1000 FROM generate_series(0,9999) g;
SET jit_above_cost TO DEFAULT;
CREATE TABLE distinct_group_2 AS
SELECT DISTINCT (g%1000)::text FROM generate_series(0,9999) g;
SET enable_seqscan = 0;
-- Check to see we get an incremental sort plan
EXPLAIN (costs off)
SELECT DISTINCT hundred, two FROM tenk1;
QUERY PLAN
-----------------------------------------------------
Unique
-> Incremental Sort
Sort Key: hundred, two
Presorted Key: hundred
-> Index Scan using tenk1_hundred on tenk1
(5 rows)
RESET enable_seqscan;
SET enable_hashagg=TRUE;
-- Produce results with hash aggregation.
SET enable_sort=FALSE;
SET jit_above_cost=0;
EXPLAIN (costs off)
SELECT DISTINCT g%1000 FROM generate_series(0,9999) g;
QUERY PLAN
------------------------------------------
HashAggregate
Group Key: (g % 1000)
-> Function Scan on generate_series g
(3 rows)
CREATE TABLE distinct_hash_1 AS
SELECT DISTINCT g%1000 FROM generate_series(0,9999) g;
SET jit_above_cost TO DEFAULT;
CREATE TABLE distinct_hash_2 AS
SELECT DISTINCT (g%1000)::text FROM generate_series(0,9999) g;
SET enable_sort=TRUE;
SET work_mem TO DEFAULT;
-- Compare results
(SELECT * FROM distinct_hash_1 EXCEPT SELECT * FROM distinct_group_1)
UNION ALL
(SELECT * FROM distinct_group_1 EXCEPT SELECT * FROM distinct_hash_1);
?column?
----------
(0 rows)
(SELECT * FROM distinct_hash_1 EXCEPT SELECT * FROM distinct_group_1)
UNION ALL
(SELECT * FROM distinct_group_1 EXCEPT SELECT * FROM distinct_hash_1);
?column?
----------
(0 rows)
DROP TABLE distinct_hash_1;
DROP TABLE distinct_hash_2;
DROP TABLE distinct_group_1;
DROP TABLE distinct_group_2;
-- Test parallel DISTINCT
SET parallel_tuple_cost=0;
SET parallel_setup_cost=0;
SET min_parallel_table_scan_size=0;
SET max_parallel_workers_per_gather=2;
-- Ensure we get a parallel plan
EXPLAIN (costs off)
SELECT DISTINCT four FROM tenk1;
QUERY PLAN
----------------------------------------------------
Unique
-> Gather Merge
Workers Planned: 2
-> Sort
Sort Key: four
-> HashAggregate
Group Key: four
-> Parallel Seq Scan on tenk1
(8 rows)
-- Ensure the parallel plan produces the correct results
SELECT DISTINCT four FROM tenk1;
four
------
0
1
2
3
(4 rows)
CREATE OR REPLACE FUNCTION distinct_func(a INT) RETURNS INT AS $$
BEGIN
RETURN a;
END;
$$ LANGUAGE plpgsql PARALLEL UNSAFE;
-- Ensure we don't do parallel distinct with a parallel unsafe function
EXPLAIN (COSTS OFF)
SELECT DISTINCT distinct_func(1) FROM tenk1;
QUERY PLAN
----------------------------------------------------------
Unique
-> Sort
Sort Key: (distinct_func(1))
-> Index Only Scan using tenk1_hundred on tenk1
(4 rows)
-- make the function parallel safe
CREATE OR REPLACE FUNCTION distinct_func(a INT) RETURNS INT AS $$
BEGIN
RETURN a;
END;
$$ LANGUAGE plpgsql PARALLEL SAFE;
-- Ensure we do parallel distinct now that the function is parallel safe
EXPLAIN (COSTS OFF)
SELECT DISTINCT distinct_func(1) FROM tenk1;
QUERY PLAN
----------------------------------------------------
Unique
-> Gather Merge
Workers Planned: 2
-> Unique
-> Sort
Sort Key: (distinct_func(1))
-> Parallel Seq Scan on tenk1
(7 rows)
RESET max_parallel_workers_per_gather;
RESET min_parallel_table_scan_size;
RESET parallel_setup_cost;
RESET parallel_tuple_cost;
--
-- Test the planner's ability to use a LIMIT 1 instead of a Unique node when
-- all of the distinct_pathkeys have been marked as redundant
--
-- Ensure we get a plan with a Limit 1
EXPLAIN (COSTS OFF)
SELECT DISTINCT four FROM tenk1 WHERE four = 0;
QUERY PLAN
----------------------------
Limit
-> Seq Scan on tenk1
Filter: (four = 0)
(3 rows)
-- Ensure the above gives us the correct result
SELECT DISTINCT four FROM tenk1 WHERE four = 0;
four
------
0
(1 row)
-- Ensure we get a plan with a Limit 1
EXPLAIN (COSTS OFF)
SELECT DISTINCT four FROM tenk1 WHERE four = 0 AND two <> 0;
QUERY PLAN
---------------------------------------------
Limit
-> Seq Scan on tenk1
Filter: ((two <> 0) AND (four = 0))
(3 rows)
-- Ensure no rows are returned
SELECT DISTINCT four FROM tenk1 WHERE four = 0 AND two <> 0;
four
------
(0 rows)
-- Ensure we get a plan with a Limit 1 when the SELECT list contains constants
EXPLAIN (COSTS OFF)
SELECT DISTINCT four,1,2,3 FROM tenk1 WHERE four = 0;
QUERY PLAN
----------------------------
Limit
-> Seq Scan on tenk1
Filter: (four = 0)
(3 rows)
-- Ensure we only get 1 row
SELECT DISTINCT four,1,2,3 FROM tenk1 WHERE four = 0;
four | ?column? | ?column? | ?column?
------+----------+----------+----------
0 | 1 | 2 | 3
(1 row)
SET parallel_setup_cost=0;
SET min_parallel_table_scan_size=0;
SET max_parallel_workers_per_gather=2;
-- Ensure we get a plan with a Limit 1 in both partial distinct and final
-- distinct
EXPLAIN (COSTS OFF)
SELECT DISTINCT four FROM tenk1 WHERE four = 10;
QUERY PLAN
----------------------------------------------
Limit
-> Gather
Workers Planned: 2
-> Limit
-> Parallel Seq Scan on tenk1
Filter: (four = 10)
(6 rows)
RESET max_parallel_workers_per_gather;
RESET min_parallel_table_scan_size;
RESET parallel_setup_cost;
--
-- Also, some tests of IS DISTINCT FROM, which doesn't quite deserve its
-- very own regression file.
--
CREATE TEMP TABLE disttable (f1 integer);
INSERT INTO DISTTABLE VALUES(1);
INSERT INTO DISTTABLE VALUES(2);
INSERT INTO DISTTABLE VALUES(3);
INSERT INTO DISTTABLE VALUES(NULL);
-- basic cases
SELECT f1, f1 IS DISTINCT FROM 2 as "not 2" FROM disttable;
f1 | not 2
----+-------
1 | t
2 | f
3 | t
| t
(4 rows)
SELECT f1, f1 IS DISTINCT FROM NULL as "not null" FROM disttable;
f1 | not null
----+----------
1 | t
2 | t
3 | t
| f
(4 rows)
SELECT f1, f1 IS DISTINCT FROM f1 as "false" FROM disttable;
f1 | false
----+-------
1 | f
2 | f
3 | f
| f
(4 rows)
SELECT f1, f1 IS DISTINCT FROM f1+1 as "not null" FROM disttable;
f1 | not null
----+----------
1 | t
2 | t
3 | t
| f
(4 rows)
-- check that optimizer constant-folds it properly
SELECT 1 IS DISTINCT FROM 2 as "yes";
yes
-----
t
(1 row)
SELECT 2 IS DISTINCT FROM 2 as "no";
no
----
f
(1 row)
SELECT 2 IS DISTINCT FROM null as "yes";
yes
-----
t
(1 row)
SELECT null IS DISTINCT FROM null as "no";
no
----
f
(1 row)
-- negated form
SELECT 1 IS NOT DISTINCT FROM 2 as "no";
no
----
f
(1 row)
SELECT 2 IS NOT DISTINCT FROM 2 as "yes";
yes
-----
t
(1 row)
SELECT 2 IS NOT DISTINCT FROM null as "no";
no
----
f
(1 row)
SELECT null IS NOT DISTINCT FROM null as "yes";
yes
-----
t
(1 row)