How to split comma separated text (list of IDs) in MySQL stored procedure to use result in SQL \"IN\" statement.
SELECT * FROM table WHERE table.id IN (split
You could use a prepared statement inside the stored procedure to achieve this. You can create the whole select query as a string inside a variable and then concatenate in the comma delimited string into its IN clause. Then you can make a prepared statement from the query string variable and execute it.
DELIMITER ;;
create procedure testProc(in listString varchar(255))
BEGIN
set @query = concat('select * from testTable where id in (',listString,');');
prepare sql_query from @query;
execute sql_query;
END
;;
DELIMITER ;
call testProc("1,2,3");
You can use find_in_set()
function for collection filter
how-to-split-and-search-in-comma-separated-values-in-mysql
SELECT * FROM table WHERE find_in_set(table.id,commaSeparatedData) > 0;
I'm surprised this one-liner isn't properly mentioned here:
SELECT * FROM table
WHERE id in (SELECT convert(int,Value) FROM dbo.Split(@list_string,',')
All you need is a Split SQL function like the one below which will come in handy in other ways as well:
CREATE FUNCTION dbo.Split
(
@List nvarchar(2000),
@SplitOn nvarchar(5)
)
RETURNS @RtnValue table
(
Id int identity(1,1),
Value nvarchar(100)
)
AS
BEGIN
While (Charindex(@SplitOn,@List)>0)
Begin
Insert Into @RtnValue (value)
Select
Value = ltrim(rtrim(Substring(@List,1,Charindex(@SplitOn,@List)-1)))
Set @List = Substring(@List,Charindex(@SplitOn,@List)+len(@SplitOn),len(@List))
End
Insert Into @RtnValue (Value)
Select Value = ltrim(rtrim(@List))
Return
END
I have parsed data with hyphens in it. The example below uses a fixed text string to demonstrate, just change the references to relevant column names in the table. I played for ages with a way to ensure it worked on codes with varying numbers of components and in the end decided to add the where clause. Most data you are trying to parse would have a fixed number of columns.
select
SUBSTRING_INDEX(TS,"-",1) as "1",
reverse(left(reverse(SUBSTRING_INDEX(TS,"-",2)),locate("-",reverse(SUBSTRING_INDEX(TS,"-",2)))-1)) as "2",
reverse(left(reverse(SUBSTRING_INDEX(TS,"-",3)),locate("-",reverse(SUBSTRING_INDEX(TS,"-",3)))-1)) as "3",
reverse(left(reverse(SUBSTRING_INDEX(TS,"-",4)),locate("-",reverse(SUBSTRING_INDEX(TS,"-",4)))-1)) as "4",
reverse(left(reverse(SUBSTRING_INDEX(TS,"-",5)),locate("-",reverse(SUBSTRING_INDEX(TS,"-",5)))-1)) as "5",
reverse(left(reverse(SUBSTRING_INDEX(TS,"-",6)),locate("-",reverse(SUBSTRING_INDEX(TS,"-",6)))-1)) as "6",reverse(left(reverse(SUBSTRING_INDEX(TS,"-",7)),locate("-",reverse(SUBSTRING_INDEX(TS,"-",7)))-1)) as "7",
reverse(left(reverse(SUBSTRING_INDEX(TS,"-",8)),locate("-",reverse(SUBSTRING_INDEX(TS,"-",8)))-1)) as "8",
reverse(left(reverse(SUBSTRING_INDEX(TS,"-",9)),locate("-",reverse(SUBSTRING_INDEX(TS,"-",9)))-1)) as "9",
reverse(left(reverse(SUBSTRING_INDEX(TS,"-",10)),locate("-",reverse(SUBSTRING_INDEX(TS,"-",10)))-1)) as "10"
from (select "aaa-bbb-ccc-ffffd-eee-fff-ggg-hhh-iii-jjj" as TS) as S
where (LENGTH(TS)-LENGTH(REPLACE(TS,'-',''))) =9
This is simple as hell for MySQL:
SELECT * FROM table WHERE FIND_IN_SET(table.id, commaSeparatedData);
Reference: http://dev.mysql.com/doc/refman/5.0/en/string-functions.html#function_find-in-set
OK, slightly "easier" but less geeky way for people like me:
say you have one table 'combined_city_state' which looks like:
'Chicago, Illinois'
copy that to 2 other tables:
CREATE TABLE city LIKE combined_city_state;
INSERT city SELECT * FROM combined_city_state;
CREATE TABLE state LIKE combined_city_state;
INSERT state SELECT * FROM combined_city_state;
You now have 3 tables with the same data as 'combined_city_state'.
Install this function:
CREATE FUNCTION SPLIT_STR(
x VARCHAR(255),
delim VARCHAR(12),
pos INT
)
RETURNS VARCHAR(255)
RETURN REPLACE(SUBSTRING(SUBSTRING_INDEX(x, delim, pos),
LENGTH(SUBSTRING_INDEX(x, delim, pos -1)) + 1),
delim, '');
Then apply this to each table to remove the extra index of data:
UPDATE firms
SET city = (SELECT SPLIT_STR((city), ',', 1));
UPDATE firms
SET state = (SELECT SPLIT_STR((state), ',', 2));
This leaves you with one column of just cities, one of just states. You can now remove the original 'combined_city_state' column if you don't need anymore.