Filip Charikov
05/09/2025, 1:48 PMDoug Creighton
05/08/2025, 7:00 PMMaria Ahmed
05/08/2025, 7:09 AMMatt Zuvella
05/07/2025, 5:06 PMJeremy Lawrence
05/07/2025, 4:57 PMJosh Peak
05/07/2025, 7:33 AMdim_date
which has a column week_start
for each row which is a date.
• For example, the week_start
is 2025-04-28
as the raw value in Snowflake for dates between 2025-04-28 :: 2025-05-04
since the week starts on Mondays
• week_start
is a Snowflake Date
type.
🐞 Problem:
In GoodData it renders as 2025-04-27
which is off by a day
Triage steps provided in thread 🧵Maria Ahmed
05/05/2025, 12:45 PMEvangelos Malandrakis
05/05/2025, 10:49 AMVivek Kushwaha
05/05/2025, 8:49 AMAshley Rodan
05/04/2025, 11:01 PMAshley Rodan
05/04/2025, 10:55 PMKovil Singh
05/02/2025, 6:31 AMHayley
05/01/2025, 7:12 PMMichael Perlberg
05/01/2025, 6:16 PMKovil Singh
05/01/2025, 10:59 AMSasha Bratyshkin
04/30/2025, 10:11 PMJhonatan Teixeira
04/30/2025, 2:37 PMIN
with a huge collection of User IDs, the performance would usually degrade in this scenario but we want to better understand it, in case there are any internal mechanism to improve this already in place, as the data filter only allows a MAQL string. Also, can we consider that this IN clause is directly passed to the SQL statement?Emilie Abia
04/30/2025, 4:25 AMSasha Bratyshkin
04/29/2025, 4:01 PMMichael Perlberg
04/29/2025, 3:43 PMDoug Creighton
04/28/2025, 8:20 PMOscar Yu
04/28/2025, 2:17 PM<http://auth.cloud.gooddata.com|auth.cloud.gooddata.com> refused to connect.
Prashanth Kasamsetty
04/28/2025, 11:41 AMToby
04/28/2025, 10:58 AMFilip Charikov
04/27/2025, 2:07 PMMAX(date, dataset)
, but I can't get the number format, nor can I find anything about it in the docs. The docs say you can do max(date) here, but there is nothing in number formatting about dates. Can someone please let me know how to do date number formats in such cases?Kovil Singh
04/26/2025, 11:52 AMGoran Jakimovski
04/25/2025, 6:48 AMSasha Bratyshkin
04/24/2025, 11:05 PMTim Cashion
04/24/2025, 7:59 PMSasha Bratyshkin
04/24/2025, 6:49 PMbac9f1bc8b29a9a7652f2cd8872c69e7212572db