SQL error 10054 indicates that the TCP connection between client and SQL Server was terminated unexpectedly by the remote host or an intermediary network device.
SQL error 10054: “An existing connection was forcibly closed by the remote host.” The error means the network stack killed your TCP session. Fix it by checking firewalls, VPNs, SQL Server timeouts, and keep-alive settings, then retry the query or reconnect.
A transport-level error has occurred when sending the request to the server. (provider: TCP Provider, error: 0 - An existing connection was forcibly closed by the remote host.)
SQL Server throws error 10054 when the underlying TCP socket is closed unexpectedly. The client detects the break and raises the Winsock error 10054, which surfaces as a provider error before any T-SQL error handling can occur.The disconnection can happen mid-query, during login, or while idling. Because it is a network-layer failure, the database engine rarely logs internal errors, making root-cause analysis focus on networking components.
Firewalls or load balancers often drop idle or long-running connections, triggering 10054 once SQL Server or the client sends more data. Security appliances may also reset sessions flagged as suspicious.VPN flaps, Wi-Fi drops, or WAN congestion can momentarily interrupt packets. The TCP stack terminates the socket, and the SQL client surfaces 10054 on the next read or write.SQL Server itself can close sockets when session timeouts, network packet errors, or resource pressure occur. Incorrect Keep-Alive registry values accelerate disconnects.
First, reproduce the failure pattern and collect SQL Server ERRORLOG, Windows System logs, and client-side provider traces. These point to the device or setting severing the connection.Increase TCP Keep-Alive on both client and server to send heartbeats sooner than firewall idle limits. On Windows: HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services\Tcpip\Parameters
set KeepAliveTime
&KeepAliveInterval
.If queries die at consistent durations, raise remote query timeout
and verify StatementTimeout in your driver. Ensure SET NOCOUNT ON
and streaming APIs to avoid large buffers that stall.
Long report queries crash after 10 min. Solution: adjust firewall TCP idle timeout to 30 min or add periodic WAITFOR DELAY '00:00:05'
heartbeat.Azure SQL connections drop under heavy load. Solution: scale the compute tier, enable retry logic in SqlClient, and verify no middlebox caps connections.SSIS packages fail mid-data load. Solution: patch SQL Native Client, disable TCP Chimney Offload, and set PacketSize=32767
.
Implement exponential back-off retry logic in every data-access layer. Fail fast, reconnect, and restart idempotent operations.Monitor network latency and packet loss with ping -t
and perfmon
counters Errors Received/sec. Alert when spikes occur.Use Galaxy’s AI copilot to auto-instrument queries with retry wrappers and expose execution timing so problematic runtimes surface early.
TCP Provider error 0 – 10053
indicates the connection aborted due to software on the host. Troubleshoot similarly but focus on local socket teardown.SQL Server error 64 surfaces when the named pipe network library breaks. Switch to TCP or repair pipe configuration.
Network firewalls or load balancers closing idle sessions.Sudden VPN, Wi-Fi, or WAN packet loss interrupting the TCP stream.SQL Server closing sockets due to timeouts or resource pressure.Incorrect Windows TCP Keep-Alive registry values causing premature resets.
TCP Provider: Error 10053 – Software caused connection abort.SQL Server Error 64 – The specified network name is no longer available.Microsoft ODBC 08S01 – Communication link failure.SQL Error 233 – No process is on the other end of the pipe.
No. The error comes from the network layer. SQL Server usually keeps running; only your session ended.
You can’t catch it in T-SQL because the connection drops before control returns. Implement retries in the client.
It solves idle-timeout issues but not packet loss or server shutdowns. Treat it as one mitigation step.
Galaxy’s SQL editor detects disconnects, re-establishes sessions automatically, and its AI copilot inserts resilient retry logic.