Sql server view not updating
Address table before the records were added, when the table had 19,614 rows. The number of the sampled rows is slightly higher than 10% of the total row number.
This example shows how expensive statistics updates on large tables are and why the SAMPLE option should be used whenever possible.
Note that the number of sampled rows is the same as the total number of table rows.
Query Optimizer updates statistics whenever it determines it’s needed.
Although updated SQL Server statistics provide better execution plans, keep in mind that updating requires time and query recompilation also, which can slow down SQL Server performance.
Therefore, frequent statistics updates should be avoided.
This behavior provides accurate statistics for small tables, as updating statistics for small tables cost is less than the inaccurate statistics cost.
When SQL Server statistics on large tables are updated with the SAMPLE parameter, sampling percent isn’t ignored, and the number of sampled rows in lower than the number of table rows.
SAMPLE – the new statistics are created by sampling a specific number of table/view rows.Using SAMPLE 100 PERCENT gives the same results as using the FULLSCAN parameter.SAMPLE and FULLSCAN cannot be used in the same UPDATE STATISTICS statement.Update the statistics on a table by running UPDATE STATISTICS using the SQL Server default sampling rate (no sampling parameters added).Then, execute DBCC SHOW_STATISTICS to view the statistics and create a screenshot, you will need it for later.