Limitation of # cubes inside a base Analysis Services

Does anyone

have any idea which is the limitation of # cubes inside a base Analysis Services,

because I created 50 cubes, and when I tried to connect to the base, i was

enable to do that because the CPU was at

100 %.

I think

that is a problem when analysis services tried to read the xmla and print all the cubes.

Tks

Well. There is a point where number of cubes and size of your data requre you to go and get a bigger machine.

It would be wrong to assume you can create any number of cubes and expect from Analysis Services not to use more CPU or memory trying to handle them all. The question what is reasonable. If you think that you got poweful machine with multiple processors and fast I/O and you see Analysis Services cannot handle large number of objects, there could be somehting. As a reference you can use Project REAL that handle large number of objects. http://www.microsoft.com/sql/solutions/bi/projectreal.mspx

Edward.
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Hallo Calacean,

the problem, you have accounted is not a SSAS with its limitations, but the client you use.

Some clients read copletely all metadata (available cubes, dimensins, hierarhies, levels, measures etc.) immediately after connection to the database.

Take a time to monitor with the SQL Profiler what commands and queries are sent from your client to the sever. You do find some interesting for you.

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Thanks, is

very useful, but i have another question if i don't bother you.

I have a data warehouse with 50 mil. dates. And i have 6 measures group with

relations many 2 many. When i query the cube, first is very slow( and i design aggregations

for all the measures), and second (I have proactive caching setup), when i want to

modify some data from the tables of proactive caching , the proactive caching

is working very god, but it decrease very much the performance of the server,

and the performance of the applications. I forget to mention that I have P4

2Ghz(2CPU), 2GB Memory, and I run Sql Server 2005 and Analysis Services in the

same server.