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SSAS 2005 (
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On a previous post I wrote about how the number of databases in an SSAS instance can make an impact on the overall performance of the instance. In this post I want to discuss another, more “explainable” property that you can set in order to improve cube processing performance. Trying to optimize processing time of our databases I set up a performance monitor trace to identify if we are having any resource bottlenecks that we need to address. Looking at the “Physical Disk: Disk Writes Bytes/sec” counter...
I’ve been researching a few performance issues lately on an Analysis Services 2005 instance with 20 (almost) identical databases on it, each weighing roughly 2.5GB and containing 6-7 cubes with approximately 400 partitions in each cube. As you can imagine, this makes up quite an impressive number of files stored on disk. SSAS stores everything on files, and unlike its relational relative (no pun intended), which will store hundreds of GB of data on a fairly small number of large files (I know this...
I recently was required to check on the performance of an SSAS instance. We had a new OLAP model with several MDX queries that we wanted to ensure were performing adequately. Now, you may know that SSAS is using caching in order to speed up its response time. Initial queries are directed to disk and once data is first read, it is then being placed in cache to serve future queries faster, eliminating the need to access disk again. What we did first was to clear the cache, using the following XMLA...
I was reading through the (excellent) “ SQL 2008 Upgrade Technical Reference Guide ” paper from Microsoft the other day, which describes in great detail all the best practices of how to go about and upgrade your existing SQL Server 2000 and 2005 installations to SQL Server 2008. I was especially interested in the SSAS upgrade section, as I’m in the process of planning such an upgrade in a highly sensitive and data-intensive SSAS 2005 environment, so I wanted to be sure I was not overlooking anything...