sys.database_connection_stats (Azure SQL Database)

Cikk
03/03/2023

Contains statistics for SQL Database database connectivity events, providing an overview of database connection successes and failures. For more information about connectivity events, see Event Types in sys.event_log (Azure SQL Database).

Statistic	Type	Description
database_name	sysname	Name of the database.
start_time	datetime2	UTC date and time of the start of the aggregation interval. The time is always a multiple of 5 minutes. For example: '2022-03-30 16:00:00' '2022-03-30 16:05:00' '2022-03-30 16:10:00'
end_time	datetime2	UTC date and time of the end of the aggregation interval. End_time is always exactly 5 minutes later than the corresponding start_time in the same row.
success_count	int	Number of successful connections.
total_failure_count	int	Total number of failed connections. This is the sum of connection_failure_count, terminated_connection_count, and throttled_connection_count, and does not include deadlock events.
connection_failure_count	int	Number of login failures.
terminated_connection_count	int	This column is unused and is preserved for backwards compatibility.
throttled_connection_count	int	This column is unused and is preserved for backwards compatibility.

Remarks

Event aggregation

Event information for this view is collected and aggregated within 5-minute intervals. The count columns represent the number of times a particular connectivity event occurred for a specific database within a given time interval.

For example, if a user fails to connect to database Database1 seven times between 11:00 and 11:05 on March 30, 2022 (UTC), this information is available in a single row in this view:

database_name	start_time	end_time	success_count	total_failure_count	connection_failure_count	terminated_connection_count	throttled_connection_count
`Database1`	`2022-03-30 11:00:00`	`2022-03-30 11:05:00`	`0`	`7`	`7`	`0`	`0`

Interval start_time and end_time

An event is included in an aggregation interval when the event occurs on or after start_time and before end_time for that interval. For example, an event occurring exactly at 2022-03-30 19:25:00.0000000 would be included only in the second interval shown below:

start_time                    end_time  
2022-03-30 19:20:00.0000000   2022-03-30 19:25:00.0000000  
2022-03-30 19:25:00.0000000   2022-03-30 19:30:00.0000000

Data updates

Data in this view is accumulated over time. Typically, the data is accumulated within an hour of the start of the aggregation interval, but it may take up to a maximum of 24 hours for all the data to appear in the view. During that time, the information within a single row may be updated periodically.

Data retention

The data in this view is retained for a maximum of 30 days, or possibly less depending on the number of databases and the number of unique events each database generates. To retain this information for a longer period, copy the data to a separate database. After you make an initial copy of the view, the rows in the view may be updated as data is accumulated. To keep your copy of the data up-to-date, periodically do a table scan of the rows to look for an increase in the event count of existing rows and to identify new rows (you can identify unique rows by using the start and end times), then update your copy of the data with these changes.

Errors not included

This view may not include all connection and error information:

This view does not include all SQL Database database errors that could occur, only those specified in Event Types in sys.event_log (Azure SQL Database).
If there is a machine failure within the SQL Database datacenter, a small amount of data may be missing from the event table.
If an IP address has been blocked through DoSGuard, connection attempt events from that IP address cannot be collected and will not appear in this view.

Permissions

Requires permission to access the master database on the logical server in Azure SQL Database.

Examples

This example queries sys.database_connection_stats to return a summary of the database connections that occurred between noon on March 29, 2022 and noon on March 30, 2022 (UTC). Connect to the master database on the logical server in Azure SQL Database to run the query.

SELECT database_name, start_time, end_time, success_count, total_failure_count, connection_failure_count
FROM sys.database_connection_stats
WHERE start_time>='2022-03-29 12:00:00' and end_time<='2022-03-30 12:00:00'
ORDER BY start_time ASC;

Next steps

Learn more about Azure SQL Database in the following articles:

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