SQL Server Diagnostic Information Queries Detailed–Recap
Over the course of the month of January 2016, I wrote a series of daily blog posts that went through each of the 70 queries
Over the course of the month of January 2016, I wrote a series of daily blog posts that went through each of the 70 queries
For Day 31 of this series, we start out with Query #69, which is High Aggregate Duration Queries. This query retrieves information from the sys.query_store_query_text
For Day 30 of this series, we start out with Query #67, which is UDF Statistics. This query retrieves information from the sys.dm_exec_function_stats dynamic management
For Day 29 of this series, we start out with Query #65, which is XTP Index Usage. This query retrieves information from the sys.dm_db_xtp_index_stats dynamic
For Day 28 of this series, we start out with Query #63, which is Overall Index Usage – Reads. This query retrieves information from the
For Day 27 of this series, we start out with Query #61, which is Volatile Indexes. This query retrieves information from the sys.objects object catalog
For Day 26 of this series, we start out with Query #59, which is Table Properties. This query retrieves information from the sys.tables object catalog
For Day 25 of this series, we start out with Query #57, which is Buffer Usage. This query retrieves information from the sys.allocation_units object catalog
For Day 24 of this series, we start out with Query #54, which is Bad NC Indexes. This query retrieves information from the sys.dm_db_index_usage_stats dynamic
For Day 23 of this series, we start out with Query #52, which is SP Logical Writes. This query retrieves information from the sys.procedures object
For Day 22 of this series, we start out with Query #50, which is SP Logical Reads. This query retrieves information from the sys.procedures object
For Day 21 of this series, we start out with Query #48, which is SP Avg Elapsed Time. This query retrieves information from the sys.procedures
With training and consulting from SQLskills, you’ll be able to solve big problems, elevate your team’s capacity, and take control of your data career.