I have a trigger to conditionally GROUP_CONCAT a few columns. I can remove duplicates from within a single column, but I’m struggling to remove duplicates between two or more columns.
Current trigger (two column example):
x
CREATE TRIGGER trigger1
BEFORE UPDATE
ON Table1
FOR EACH ROW
BEGIN
set NEW.results =
(SELECT (GROUP_CONCAT(distinct (CONCAT_WS('<br>',
(SELECT (GROUP_CONCAT(distinct stocks1 SEPARATOR '<br>'))
FROM Table2
where NEW.selection1 = 'x'),
(SELECT (GROUP_CONCAT(distinct stocks2 SEPARATOR '<br>'))
FROM Table2
where NEW.selection2 = 'x')
)))));
end;
Fiddle: https://dbfiddle.uk/?rdbms=mysql_8.0&fiddle=46a6bb915fa7e2e9106b073677eee6cd
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Answer
Change the second Select to
-- Table1
CREATE TABLE Table1 (id INT,selection1 varchar(50),selection2 varchar(50),results varchar(1000));
INSERT INTO Table1 (id,selection1,selection2,results)
VALUES
(1,null,null,null),
(2,null,null,null),
(3,null,null,null);
select * from Table1
✓ ✓ id | selection1 | selection2 | results -: | :--------- | :--------- | :------ 1 | null | null | null 2 | null | null | null 3 | null | null | null
-- Table2
CREATE TABLE Table2 (stocks1 VARCHAR(50),stocks2 VARCHAR(50));
INSERT INTO Table2 (stocks1,stocks2)
VALUES
-- ('BRK','BRK'),
-- ('BRK','BRK');
('BRK','GOOG'),
('INTC','NKE'),
('TSLA','APPL'),
('APPL','NKE'),
('TSLA','FB'),
('NKE','BRK');
select * from Table2
✓ ✓ stocks1 | stocks2 :------ | :------ BRK | GOOG INTC | NKE TSLA | APPL APPL | NKE TSLA | FB NKE | BRK
CREATE TRIGGER trigger1
BEFORE UPDATE
ON Table1
FOR EACH ROW
BEGIN
set NEW.results =
(SELECT CONCAT('<br>',GROUP_CONCAT( val
SEPARATOR '<br>'))
FROM (SELECT stocks1 as val FROM
Table2
WHERE
NEW.selection2 = 'x'
UNION
SELECT stocks2 FROM
Table2
WHERE
NEW.selection2 = 'x') t1
);
end;
update Table1
set selection1 = 'x', selection2 = 'x'
where id = 1
select * from Table1
id | selection1 | selection2 | results -: | :--------- | :--------- | :--------------------------------------------------- 1 | x | x | <br>BRK<br>INTC<br>TSLA<br>APPL<br>NKE<br>GOOG<br>FB 2 | null | null | null 3 | null | null | null
db<>fiddle here