Splunk Enterprise

Error dbconnect app using the "MS-SQL Server Using MS Generic Driver" - Port 6666

jotaforense
Explorer

When trying to make a connection with the dbconnect app using the "MS-SQL Server Using MS Generic Driver" drive, it is giving an error and requesting port 6666, but in the connection  string I use port 1433. Does anyone know why this change is happening and how? How do I solve this?
Note: already has a firewall rule created for port 1433

Connection String

jdbc:sqlserver://myhost.database.windows.net:1433;databaseName=mydb;selectMethod=cursor;encrypt=false

Error:
Connection failure reason: The TCP/IP connection to the host myhost.database.windows.net, port 6666 has failed. Error: "connect timed out. Verify the connection properties. Make sure that an instance of SQL Server is running on the host and accepting TCP/IP connections at the port. Make sure that TCP connections to the port are not blocked by a firewall.". Diagnosis: Either the database is unavailable, or the specified host/port is incorrect, or you are blocked by a firewall Troubleshooting recommendation: Make sure the database is running on the server and you or the database are not blocked by a firewall.

jotaforense_1-1699534825576.png

 

Labels (1)
Tags (1)
0 Karma
Got questions? Get answers!

Join the Splunk Community Slack to learn, troubleshoot, and make connections with fellow Splunk practitioners in real time!

Meet up IRL or virtually!

Join Splunk User Groups to connect and learn in-person by region or remotely by topic or industry.

Get Updates on the Splunk Community!

Index This | What travels the world but is also stuck in place?

April 2026 Edition  Hayyy Splunk Education Enthusiasts and the Eternally Curious!   We’re back with this ...

Discover New Use Cases: Unlock Greater Value from Your Existing Splunk Data

Realizing the full potential of your Splunk investment requires more than just understanding current usage; it ...

Continue Your Journey: Join Session 2 of the Data Management and Federation Bootcamp ...

As data volumes continue to grow and environments become more distributed, managing and optimizing data ...