Note instead of doing step #2 and step #3 separately you could just do a Process Full (which does a Process Data and Process Index behind the scenes). Process Index for the rest of the partitions (the partitions that have not changed). Note that Process Data processes data only without building aggregations or indexes.ģ. Of course, the smaller the partition, the better, so try to use daily partitions instead of monthly or use monthly partitions instead of yearly. Process Data the partitions that have changed data (which are usually the most recent partitions).
#Process recalc ssas tabular update
This means after a Process Update you need to do a Process Index on the partitions (see step #3).Ģ. The cube is still available for queries, albeit with lower performance (with Process Update flexible aggregations and indexes on related partitions will be dropped). But if members were deleted or if member relationships changed (e.g., a Customer moved from Redmond to Seattle), then some of the aggregation data and bitmap indexes on the partitions are dropped. If only new members were added, then the partitions are not affected. Depending on the nature of the changes in the dimension table, Process Update can affect dependent partitions. Process Update all the dimensions that could have had data changed. Regarding the best possible processing strategy, I suggest the following steps:ġ. Note that partitioning requires the enterprise version of SQL Server 2008 ( view version differences). This can greatly reduce the total cube processing time. The biggest benefit of partitioning is that it allows you to process multiple partitions in parallel on a server that has multiple processors. So can using a different processing strategy than a Process Full. Partitioning the cube can help to reduce the processing time. This is especially true as more and more companies want cube processing during the day instead of the usual off-hours time when no one is using the cube. As your SSAS cube gets bigger, cube processing time will become a problem.
0 kommentar(er)
