I have a couple of columns that are json arrays that have datetime data like this:
["2017-04-18 11:05:00.000000"]
["2017-04-20 11:05:00.000000"]
["2017-04-22 11:05:00.000000"]
["2017-12-11 22:14:02.000000", "2017-12-11 22:14:08.000000", "2017-12-11 22:19:13.000000", "2017-12-11 22:20:44.000000", "2017-12-11 22:21:54.000000", "2017-12-11 22:23:09.000000"]
["2017-12-13 13:21:04.000000"]
["2017-12-14 13:10:44.000000", "2017-12-14 13:21:51.000000"]
["2017-12-15 13:27:21.000000", "2017-12-15 13:30:21.000000"]
["2017-12-16 15:15:22.000000"]
The goal is to parse out the datetime data and store it into a separate table from which I plan on doing some fun stuff. Currently, it only inserts the first record only, and it inserts it ~180000 times. My current code is:
BEGIN
DECLARE finished INTEGER DEFAULT 0;
DECLARE i INTEGER DEFAULT 0;
DECLARE usages VARCHAR(4000);
-- declare cursor for employee email
DEClARE curUsages
CURSOR FOR
SELECT associated_usages from usagesTbl where associated_usages not like '[]';
-- declare NOT FOUND handler
DECLARE CONTINUE HANDLER
FOR NOT FOUND SET finished = 1;
OPEN curUsages;
getUsages: LOOP
FETCH curUsages INTO usages;
IF finished = 1 THEN
LEAVE getUsages;
END IF;
WHILE i < JSON_LENGTH(usages) DO
INSERT INTO usagesTbl VALUES (JSON_EXTRACT(usages, CONCAT('$[',i,']')));
SET i = i + 1;
END WHILE;
SET i = 0;
END LOOP getUsages;
CLOSE curUsages;
END;
it seems that the while loop variable "i" is not increasing, and I am getting constantly stuck in the loop. The reason for me thinking this is that I pulled out the JSON_EXTRACT code and wrote this for testing:
set @i = 0;
select JSON_EXTRACT(associated_usages, CONCAT('$[',@i,']')) from usagesTbl where associated_usages not like '[]';
I can change the value of @i to whatever index I want and I get the right data. Im just stuck on why it doesn't work in the while loop during the stored procedure. Any help is greatly appreciated!
Fixed it! It somehow created an infinite loop that just kept on inserting data even when the stored proc said it was done running. I dropped and recreated the table, and changed the datatype of usages back from VARCHAR to json, and it worked like a charm.