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Hi Devs
I want to split this column by comma, into each occurence to have it's respective column, but when i used the each occurence using comma as my delimiter, I only have two columns splitted when I was expecting like 50 columns.
Also, it shows this preview warning before returning splitted column. is there a way I can work around this.
Thanks,
Mubar
Solved! Go to Solution.
It's working fine now, I used the advanced features to split it to 200 columns (it was 2 on default)
Thanks
Hi,
as you see i can't get your error and your data are splitted in 323 columns
Maybe, at a certain point of your data you get some problem.
Pay attention to the fact that the error isn't on split by column but in a further step you have created
This is what I'm having when I do it at my end
I only have 2 columns splitted
I, also, get 323 columns splitting your data on the comma. Please go into the Advanced Editor and post your M-Code as text so we can examine it.
It's working fine now, I used the advanced features to split it to 200 columns (it was 2 on default)
Thanks
Hi,
please post some rows of your table in order to understand the problem
Here is content in the rows
sorry, but if you paste using copy and paste the content of 3 or more cells instead of the image it is easier to try to solve (on the contrary i need to copy the content and it will me take a long time)
Okay,
{"page":1,"total":30,"limit":50,"data":[{"id":33,"name":"TRUCK","code":"TRK","description":"","is_active":true,"is_internal":false,"created_at":"2023-08-08T13:44:06.589Z","updated_at":"2023-08-08T13:44:22.630Z","created_by_user":{"id":"72f64fa0-d865-42b4-b4b8-f0395f2cb2a7","first_name":"Daniel","last_name":"Emechete"},"updated_by_user":{"id":"72f64fa0-d865-42b4-b4b8-f0395f2cb2a7","first_name":"Daniel","last_name":"Emechete"}},{"id":32,"name":"BULK","code":"BLK","description":"Bulk orders from 300 bags and above","is_active":true,"is_internal":true,"created_at":"2023-03-23T07:36:34.078Z","updated_at":"2023-03-23T07:37:00.709Z","created_by_user":{"id":"72f64fa0-d865-42b4-b4b8-f0395f2cb2a7","first_name":"Daniel","last_name":"Emechete"},"updated_by_user":{"id":"72f64fa0-d865-42b4-b4b8-f0395f2cb2a7","first_name":"Daniel","last_name":"Emechete"}},{"id":31,"name":"CARTON ","code":"CAR","description":null,"is_active":true,"is_internal":false,"created_at":"2022-08-30T14:41:39.497Z","updated_at":"2022-08-30T14:41:39.497Z","created_by_user":{"id":"72f64fa0-d865-42b4-b4b8-f0395f2cb2a7","first_name":"Daniel","last_name":"Emechete"},"updated_by_user":null},{"id":30,"name":"VALUE","code":"VAL","description":null,"is_active":true,"is_internal":false,"created_at":"2022-07-08T14:25:50.226Z","updated_at":"2022-07-08T14:25:50.226Z","created_by_user":{"id":"6b2289e3-eecf-4b0c-9368-349fad976f77","first_name":"Onyema","last_name":"Ojukwu"},"updated_by_user":null},{"id":29,"name":"","code":"","description":null,"is_active":true,"is_internal":false,"created_at":"2022-06-28T13:16:39.987Z","updated_at":"2022-06-28T13:16:39.987Z","created_by_user":{"id":"6b2289e3-eecf-4b0c-9368-349fad976f77","first_name":"Onyema","last_name":"Ojukwu"},"updated_by_user":null},{"id":28,"name":"CONGO","code":"CON","description":"A unit of measurement for fruits and vegetables","is_active":true,"is_internal":false,"created_at":"2022-06-12T04:19:51.500Z","updated_at":"2022-06-12T04:20:07.238Z","created_by_user":null,"updated_by_user":{"id":"72f64fa0-d865-42b4-b4b8-f0395f2cb2a7","first_name":"Daniel","last_name":"Emechete"}},{"id":27,"name":"BUCKET","code":"BUC","description":"Unit of measurement for vegetables","is_active":true,"is_internal":false,"created_at":"2022-06-08T07:45:30.397Z","updated_at":"2022-06-08T07:45:57.711Z","created_by_user":null,"updated_by_user":{"id":"72f64fa0-d865-42b4-b4b8-f0395f2cb2a7","first_name":"Daniel","last_name":"Emechete"}},{"id":26,"name":"PAINT","code":"PAI","description":"Unit of measurement for fruits, vegetables and dry goods.","is_active":true,"is_internal":false,"created_at":"2022-06-02T07:32:25.982Z","updated_at":"2022-06-02T07:36:16.210Z","created_by_user":null,"updated_by_user":{"id":"72f64fa0-d865-42b4-b4b8-f0395f2cb2a7","first_name":"Daniel","last_name":"Emechete"}},{"id":22,"name":"TONNE","code":"TNE","description":"","is_active":true,"is_internal":false,"created_at":"2022-04-25T12:41:25.510Z","updated_at":"2022-04-25T12:42:45.570Z","created_by_user":null,"updated_by_user":null},{"id":21,"name":"SET","code":"SET","description":"","is_active":true,"is_internal":false,"created_at":"2022-04-25T12:41:14.569Z","updated_at":"2022-04-25T12:42:40.308Z","created_by_user":null,"updated_by_user":null},{"id":20,"name":"PEAK 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{"pay-later":null,"pay-on-delivery":null,"pay-now":null,"banned_data":null,"defaulting":{"status":true,"defaulted_invoices":[{"code":"I1701098764649","total_amount":"1122358.50"}],"total_amount":1122358.5}}