I have very simple problem that I can\'t solve. I need to do something like this:
select distinct * from (1, 1, 1, 2, 5, 1, 6).
Anybody can
I know this is a pretty old thread, but I was searching for something similar and came up with this.
Given that you had a comma-separated string, you could use string_split
select distinct value from string_split('1, 1, 1, 2, 5, 1, 6',',')
This should return
1
2
5
6
String split takes two parameters, the string input, and the separator character.
you can add an optional where statement using value as the column name
select distinct value from string_split('1, 1, 1, 2, 5, 1, 6',',')
where value > 1
produces
2
5
6
If you want to select only certain values from a single table you can try this
select distinct(*) from table_name where table_field in (1,1,2,3,4,5)
eg:
select first_name,phone_number from telephone_list where district id in (1,2,5,7,8,9)
if you want to select from multiple tables then you must go for UNION.
If you just want to select the values 1, 1, 1, 2, 5, 1, 6 then you must do this
select 1
union select 1
union select 1
union select 2
union select 5
union select 1
union select 6
PostgreSQL gives you 2 ways of doing this:
SELECT DISTINCT * FROM (VALUES('a'),('b'),('a'),('v')) AS tbl(col1)
or
SELECT DISTINCT * FROM (select unnest(array['a','b', 'a','v'])) AS tbl(col1)
using array approach you can also do something like this:
SELECT DISTINCT * FROM (select unnest(string_to_array('a;b;c;d;e;f;a;b;d', ';'))) AS tbl(col1)
In general :
SELECT
DISTINCT
FieldName1, FieldName2, ..., FieldNameN
FROM
(
Values
( ValueForField1, ValueForField2,..., ValueForFieldN ),
( ValueForField1, ValueForField2,..., ValueForFieldN ),
( ValueForField1, ValueForField2,..., ValueForFieldN ),
( ValueForField1, ValueForField2,..., ValueForFieldN ),
( ValueForField1, ValueForField2,..., ValueForFieldN )
) AS TempTableName ( FieldName1, FieldName2, ..., FieldNameN )
In your case :
Select
distinct
TempTableName.Field1
From
(
VALUES
(1),
(1),
(1),
(2),
(5),
(1),
(6)
) AS TempTableName (Field1)
Have you tried using the following syntax?
select * from (values (1), (2), (3), (4), (5)) numbers(number)
Use the SQL In function
Something like this:
SELECT * FROM mytable WHERE:
"VALUE" In (1,2,3,7,90,500)
Works a treat in ArcGIS