Lesson Learned #511: Timeout Attempting to Open the Connection in High-Thread Applications
Recently, I worked on a service request that a customer application reported the following error connecting to the database: "Timeout attempting to open the connection. The time period elapsed prior to attempting to open the connection has been exceeded. This may have occurred because of too many simultaneous non-pooled connection attempts.". Following, I would like to share the experience learned here.Lesson Learned #269: Unable to connect - Is unavailable or does not exist - Connection Time out
Today, I worked on a service request that your customer is facing the following error message: During handling of the above exception, another exception occurred: Traceback (most recent call last): File "src/pymssql/_pymssql.pyx", line 653, in pymssql._pymssql.connect pymssql._pymssql.OperationalError: (20009, b'DB-Lib error message 20009, severity 9:\nUnable to connect: Adaptive Server is unavailable or does not exist (servername.database.windows.net)\nNet-Lib error during Connection timed out (110)\nDB-Lib error message 20009, severity 9:\nUnable to connect: Adaptive Server is unavailable or does not exist (servername.database.windows.net)\nNet-Lib error during Connection timed out (110)\n')
com.microsoft.sqlserver.jdbc.SQLServerException: Connection timed out (Read failed)
Hello All, I have created an ETL job which will load data from SQL server 2012 to Azure SQL Server. All the data from source will be fetched and inserted into destination. I am running multiple jobs in parallel. I am facing the below error. When anyone of the job fails due to this, all the other jobs running in parallel also fails due to read time out. com.microsoft.sqlserver.jdbc.SQLServerException: Connection timed out (Read failed) 1. How to increase the timeout?. Is there a way to increase timeout for each query? 2. How to prevent other jobs/queries failing when one job/query fails? Thanks,
