Sql server timeslice12/27/2022 ![]() ![]() ![]() Different time intervals in combination with the time slicing allow very flexible data retrieval. To achieve this, we need an efficient way of getting the data out of the database. Long term storage is at heart of SQLWATCH design. The errors reference the following functions: ubfallocf (), ssqlsaveSQL (), sqtputinstmtcache (). The 5 minute interval download over 21736 performance counters rows:Īnd the same report but at 60 minutes interval download 1824 rows from the performance counters table: 2388707 - spinlocks and timeslice errors for long sql statement allocations - SAP ASE Symptom The ASE database server falls victim to statement cache spinlocks (SSQLCACHESPIN) and timeslice errors. The below screenshots show the number of rows returned from the databases for the 5 and 60 minutes intervals over 24 hours period. This is best visible on the below charts.įirst chart is showing 24 hours with 5 minute interval:Īnd the same chart, also showing 24 hours but with 60 minute interval: Threads associated with Terminal Server User sessions are treated as if they were running on Professional and receive the same two time - slice quanta. This approach reduces the number of data points and thus volume of data returned from the database. The third time related parameter is ReportIntervalMinutes which is the resolution (zoom) of the timeline and the delta calculation period for cumulative metrics.įor example, we may want a detailed overview of the last 4 hours of operation with interval time of 5 minutes, or a high level overview of the last 7 days with interval time equal to 1 hour. bring back latest data if GETDATE() is specified in the EndTime field without changing any parameters (useful for your Morning checks).travel back in time and report on any time slice stored in the SQLWATCH database.This approach allows two things to happen: To see different time slice we can simply put date time in the ISO format: ‘ 13:00’ in the EndTime parameter field. PowerBI reports offer a number of time parameters to minimise the impact of data retrieval.īehind the scenes this translates to a SQL BETWEEN operator: WHERE > DATEADD(HOUR, _window, the ReportAgeHours and the EndTime in PowerBIįor example, to see last 24 hours of performance data starting now, we would put 24 in the ReportAgeHours parameter and GETDATE() in the EndTime parameter field. SQLWATCH has been designed to address such scenario and thus it operates on time slice data. We were running SQL Server 2005, and we had begun the process of virtualization but it was very haphazard, we had no high availability functionality within. For obvious reasons we do not want to pull all the available data into PowerBI as this could have negative impact on the service. When retrieving performance data from SQLWATCH database we have to keep in mind the fact that this is a decentralised architecture meaning the performance is not being offloaded to a dedicated central repository but is hosted on the monitored instance and therefore we could be connecting to a production instance which could hold gigabytes of performance data. ![]()
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