Thank you very much, and we apologize for any inconvenience. However, we want to make sure all players can access their Season 5 rewards before we roll into the new Season. We know that many players in the community are excited to kick off Season 6, and we are too. During the second week, we will release our fix and re-enable rank-up purchases so that everyone has plenty of time to claim any rewards they unlocked during this two week period. This does not affect rank-ups achieved by earning S.C.O.R.E., but we are working hard to get this fixed up as soon as possible so that all players can enjoy the rewards they’ve earned.Īs a result, we have extended Season 5 by two weeks, until September 21. During the first week, rank-up purchases using Atoms will be disabled while we work to resolve the underlying issue, and you can continue to rank-up by earning S.C.O.R.E. We’ve discovered an issue affecting Season 5 rank-ups, where players in some cases are unable to claim the rewards for ranks they purchased using Atoms. What is new in Fallout 76 Worlds Update Patch Notes? – Sep 8, 2021 How big is the final powerbi doc? I have a couple of docs that are 0.5Gb.Check out more details below. If you still too big then you may need to use either SSAS tabular on a server or try Azure Analysis Services (which can import your powerbi model) Here is some details of looking at what is using storage in your model. I read here that ordering the data can help the compression if the data is very large. Ideally load date and time seperatly both as integers e.g. Turn off the Time Intelligence Auto Date/Time option if you don't need it as create date dimension in the background for every date field from the smallest to largest dates.Īlso reduce the precision of times if you dont need them to be highly accurate.
Try adding a date dimension with your reporting month and join to your dates.
Maybe only bring the last x days/months data.Īim for a star schema if possible with id keys joins. Close other memory hogs like browsers.Īggregate in SQL or M to a lower grain before you load if you don't need all the detail.įilter out rows you don't need again in SQL or M. Restart if you get problems and make sure your memory has been release which can take a while. Here are some of my memory tips for powerbi.
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