Update statistics sql server 2005 sap

Donald Largen May 10, 0 Comments. Is there a ways to make this setting permanent? Thanks, Donald Largen. David Caddick Posted May 10, 0 Comments. Regards From: larg3n via sap-basis [mailto:sap-basis Groups. Donald Largen Posted May 11, 0 Comments. Thanks David for your reply. I found the problem. Donald Largen. David Caddick Posted May 11, 0 Comments. Hi David The problem is solved.

Anonymous Posted March 2, 0 Comments. Hi Lars-Erik Hallsten, How you were able to resolve the issue permanently? Please update. Thanks in advance. Regards, Nilesh. Snowy snow Posted March 4, 0 Comments. Hi Nilseh, read the whole topic and you will find the answer: I found the problem.

The query optimizer will use parallel sample statistics, whenever a table size exceeds a certain threshold. For most workloads, a full scan is not required, and default sampling is adequate. However, certain workloads that are sensitive to widely varying data distributions may require an increased sample size, or even a full scan. For example, statistics for indexes use a full-table scan for their sample rate.

When OFF , statistics sampling percentage will get reset to default sampling in subsequent updates that do not explicitly specify a sampling percentage. The default is OFF. If the table is truncated, all statistics built on the truncated HoBT will revert to using the default sampling percentage.

If this option is specified, the query optimizer completes this statistics update and disables future updates. Using this option can produce suboptimal query plans. We recommend using this option sparingly, and then only by a qualified system administrator. If per partition statistics are not supported an error is generated.

Incremental stats are not supported for following statistics types:. Overrides the max degree of parallelism configuration option for the duration of the statistic operation. For more information, see Configure the max degree of parallelism Server Configuration Option.

The maximum is 64 processors. Identified for informational purposes only. As a result some customers reported update statistics taking place extremely rarely and with that outdated statistics sometimes resulting in query plans which were not optimal. The higher the number of rows in a table, the lower the threshold will become to trigger an update of the statistics.

For example, if the trace flag is activated it means an update statistics will be triggered on a table with 1 billion rows when 1 million changes occur. If the trace flag is not activated, then the same table with 1 billion records would need million changes before an update statistics is triggered. In order to activate this new logic, you need to enable traceflag As a result the threshold to trigger update statistics will be calculated based on the number of rows in the table.

However, the table still needs to have a minimum of rows as the minimum row threshold did not change. As before the update of the statistics will apply the default sample rate which is dynamic and based on the of rows.

In the graph below, you can see how the new formula works. It only is when you exceed 25, rows per table where the dynamic rule will kick in and where, with an increasing of rows, the percentage of records changed is becoming lower and lower.