Azure SQL 数据库 - 多个作业的执行超时已过期错误

Question

In SQL Server Management Studio, I discovered an issue while attempting to disable a trigger on one of our tables in our Azure SQL Database, which is set at one of the highest-available performance tiers (Business Critical Gen 5). I used right-click disable to accomplish this. I receive the following error after the timeout period expires:

Execution Timeout Expired.  The timeout period elapsed prior to completion of the operation or the server is not responding. (.Net SqlClient Data Provider)

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        For help, click: http://go.microsoft.com/fwlink?ProdName=Microsoft%20SQL%20Server&ProdVer=12.00.0700&EvtSrc=MSSQLServer&EvtID=-2&LinkId=20476

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        Server Name: searchfoundry.database.windows.net
        Error Number: -2
        Severity: 11
        State: 0


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        Program Location:

           at Microsoft.SqlServer.Management.Common.ConnectionManager.ExecuteTSql(ExecuteTSqlAction action, Object execObject, DataSet fillDataSet, Boolean catchException)
           at Microsoft.SqlServer.Management.Common.ServerConnection.ExecuteNonQuery(String sqlCommand, ExecutionTypes executionType, Boolean retry)
The wait operation timed out

The help link goes to a 404 - no surprise there.

EDIT #1: @DanGuzman kindly assisted me in suggesting I run the disable trigger as T-SQL. This worked. However, in between the time I originally posted, and the time he gave his suggestion, I discovered that this timeout error is occurring within other areas of our infrastructure/services which use this database.

I have run a query to check for blocking sessions on this database. There are none listed. I have also increased the timeout period from 30 seconds to 5 minutes. Items are still timing out.

I am looking for guidance on what other queries I can run to look under the hood of this database to determine what is causing these timeouts to occur.

I'd be happy to just restart the SQL Server to resolve this, but as many of us know, there is no restarting Azure SQL Servers, unfortunately.

Answer 1

我通过增加 DB 的 DTU 配额解决了类似的超时问题

Answer 2

Increasing the DTUs works for me.