![]() If Database name or Schema name is omitted, it will set it to the value returned by respectively DB_NAME() and SCHEMA_NAME() built-in functions. To do so, we must provide parameters where SituationName can be either Occurrences, Daily or Monthly. Occurrences by days, referred to as « Daily » Occurrences by hours, referred to as « Hourly » Occurrences by seconds, simply referred to as « Occurrences » We must provide a target database name, schema name and table name for one or more of following situations: Then, there are a few sets of parameters that will tell the stored procedure to store computed results to tables. Take every occurrences as no interval is providedĪll occurrences between StartDate and EndDate There are four possibilities for these Interval Even though DateTime data type has limitations, this data type has been kept for compatibility with older systems. We can also force SQL Server to create a new one using sp_cycle_errorlog stored procedure.Īfter that, we have two parameters to define a time interval. Actually, the number of error log is configurable. We can tell the stored procedure to extract only from current log or for a given error log file. Its first two parameters are related to error log management. This query can be customized to keep the value of ‘Number of Deadlocks/sec’ performance counter over time. In order to get startup date, we will use the creation date value of database as this database is recreated at startup of SQL Server. We could run following query to get how many deadlocks happened since startup, when startup occurred and how many deadlocks per day (on average). With that in mind, it’s a good idea to get an overview on how often they happen. So, I prefer to take gradual information about deadlocks. In my opinion, logging and reporting must be used wisely. The first one will use SQL Server Error Logs while the second one will take advantage of SQL Server Extended Events. After a little word about a check that should be done before investing time into deadlock data collection, this article will present two different approaches to plot a diagram with deadlock occurrences over time. Now, we will need to use collected data in order to build a graph with deadlock occurrences over time. In the previous article entitled “ What are SQL Server deadlocks and how to monitor them“, we’ve seen how a deadlock can occur and which tools are available to DBA or developer to get simple or extended information about the conditions that lead a particular deadlock situation to occur. ![]()
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