Nada Ahmed
09/11/2024, 11:33 AMCeligo AI
09/11/2024, 11:33 AMAI generated answer (using internal Slack threads):Based on the conversations, it seems like you're having trouble with the
GROUP_CONCAT({item})
function in NetSuite. This function is used to concatenate the values from a group of rows into a single string. However, it seems like you're encountering issues when trying to use it.
From the first conversation, it appears that the formula you're using might be missing an END
statement. Also, you need to ensure that you're running the column as maximum.
In the second conversation, it's suggested to use the ||
operator for concatenation. This might be a workaround if you're trying to concatenate more than two values.
In the third conversation, it's mentioned that LISTAGG
isn't supported in SuiteQL, which is the query language used in NetSuite. Instead, you might be able to use a subquery to achieve your goal. However, it's also mentioned that Oracle's CONCAT
function only accepts two strings, so passing it a subquery won't work.
If you're doing this in SuiteScript, you could pull the results and flatten them. Alternatively, you could use wm_concat
if it's available.
Here's an example of how you might use a subquery:
sql
SELECT
transaction.customer,
SUM(transactionlines.amount),
(SELECT GROUP_CONCAT(department) FROM transactionlines WHERE transactionlines.transaction = transaction.id) as departments
FROM
transaction,
transactionlines
WHERE
transactionlines.transaction = transaction.id
GROUP BY
transaction.customer
Please note that this is just an example and might need to be adjusted based on your specific use case.
******
Disclaimer:
This response was generated by an artificial intelligence assistant based on previous conversations from multiple Slack channels, and may contain inaccuracies or mistakes.
******Celigo AI
09/11/2024, 11:34 AMSlack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.821594357
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.816742063
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.81625247
Celigo AI
09/11/2024, 11:34 AM