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HAProxy can give MySQL clients one stable endpoint and distribute new TCP connections across healthy database servers. It can also remove a node that fails its health check. HAProxy does not read SQL, identify writes, verify replication lag, or make an interrupted transaction safe. Use it when every selected node can safely accept the same kind of connection; use SQL-aware routing or orchestration when writers, readers, lag, or failover roles matter.
What HAProxy does—and does not do for MySQL
HAProxy works at MySQL’s TCP connection layer. A client connects to HAProxy, and HAProxy chooses one backend server for that connection. Existing sessions normally remain attached to the server selected when they were opened; balancing decisions apply to new connections.
- It does: provide a single address and port, distribute new connections, run backend health checks, and stop sending new connections to a server whose checks fail.
- It does not: inspect SQL statements, distinguish reads from writes, confirm that a replica is current, prove that a node is the writable primary, or retry a transaction safely after a broken connection.
That distinction determines whether this design is appropriate. If all backend nodes are equivalent for the traffic being sent through the listener, HAProxy is simple and effective. If one node must receive writes, replicas may lag, or read and write transactions need different handling, a SQL-aware proxy or database orchestration layer is a better fit.
Choose the topology before writing configuration
Equivalent-node connection balancing
Use a single HAProxy backend when each listed MySQL server can accept the same class of application connection. This is common for an intentionally multi-writer design, a pool of interchangeable read-only endpoints, or a controlled test environment. Confirm the database permissions and application behavior first; HAProxy cannot enforce those rules for you.
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Single writer with replicas
Do not place a writable primary and read-only replicas in one undifferentiated backend if the application can issue writes. Round-robin or least-connections selection could send a write to a replica or send a read to a node that should be isolated. Separate listeners or backends can work only when the application already knows which endpoint to use and a separate mechanism keeps the roles current.
When SQL-aware routing is required
Choose a SQL-aware proxy such as ProxySQL, or route in the application, when decisions depend on SQL intent or replication state. ProxySQL documents writer and reader hostgroups, routing based on MySQL’s read_only state, and removal of replicas that exceed a configured max_replication_lag. An orchestration system is more appropriate when promotion depends on consensus, topology state, or coordinated failover.
HAProxy and other routing approaches
| Approach | Decision layer | Failure signal | Best fit | Main limitation |
|---|---|---|---|---|
| HAProxy | TCP connection | TCP or MySQL handshake check | Equivalent backend nodes and a stable client endpoint | Cannot see SQL intent, replication freshness, or transaction safety |
| ProxySQL | SQL-aware proxy and hostgroups | Role and replication checks, including read_only and lag thresholds |
Writer/reader separation and lag-aware routing | More moving parts and policy to operate |
| Application-side routing | Application transaction and query logic | Application and orchestration state | Systems that already know transaction intent or cluster role | Every service must implement consistent routing and retry behavior |
Also compare TLS handling, client-address requirements, operational ownership, and the way each application retries a dropped connection. A load balancer that detects failure quickly still cannot roll back or replay a transaction whose outcome is unknown.
Prerequisites and safety checks
- Two or more reachable MySQL servers, each listening on the port you will configure (the usual port is 3306).
- A host or virtual machine on which HAProxy can bind the client-facing address and reach every backend.
- Firewall rules allowing client-to-HAProxy traffic and HAProxy-to-MySQL traffic, while denying unnecessary sources.
- Agreement on which nodes are allowed to receive the traffic. Do not assume that replication automatically makes nodes interchangeable.
- A maintenance window or staging environment for stopping a backend and observing connection behavior.
- A backup of the existing HAProxy configuration and a way to restore it if validation or reload fails.
Install HAProxy from your operating-system repository or a vendor-supported package. Package names, configuration paths, service names, and binary locations vary by distribution, so use the paths supplied by that package rather than copying a path from another operating system.
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Build a minimal TCP configuration
The following example exposes HAProxy on port 3306 and balances two MySQL servers. Replace the addresses with the private addresses in your topology. The example uses a MySQL-aware check and round-robin distribution:
frontend mysql_frontend
bind 0.0.0.0:3306
mode tcp
default_backend mysql_backend
backend mysql_backend
mode tcp
balance roundrobin
option mysql-check user haproxy_check
server db1 10.0.0.11:3306 check
server db2 10.0.0.12:3306 checkFrontend settings
bind 0.0.0.0:3306listens on every interface. Bind to a specific private interface or address when exposure must be narrower.mode tcpkeeps HAProxy at the connection layer instead of treating the traffic as HTTP.default_backendsends accepted client connections to the named MySQL backend.
Backend settings
balance roundrobinrotates new connections across available servers. It is suitable when nodes are comparable and connection lifetimes are reasonably similar.balance leastconnis often a better starting point when sessions have very different durations, because new connections prefer the server with fewer active connections.server ... checkenables health checking for each listed node. Withoutcheck, HAProxy can continue attempting connections to a failed server.option mysql-checkmakes the probe MySQL-aware rather than relying only on a TCP connect.
Set client, server, and connect timeouts in the defaults or relevant proxy sections according to the application’s connection and query behavior. Very short values can terminate legitimate long-lived sessions; very long values delay failure detection and tie up resources. The exact values depend on your workload and are not universal constants.
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Handshake check
With option mysql-check and no username, HAProxy checks the MySQL handshake packet. This confirms that a service is answering as a MySQL endpoint, but it does not authenticate an application user or examine replication state.
Username probe
With option mysql-check user haproxy_check, HAProxy sends a client-authentication packet followed by a QUIT packet. HAProxy describes this as a basic but useful test that requires an unlocked, authorized user without a password. Create that identity on every backend that should pass the check, and restrict its allowed source to the HAProxy host or subnet.
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CREATE USER 'haproxy_check'@'10.0.0.%' IDENTIFIED BY '';
GRANT USAGE ON *.* TO 'haproxy_check'@'10.0.0.%';Use the narrowest host pattern that matches the HAProxy source address. Do not reuse an administrator or application account. Confirm your MySQL authentication policy permits the passwordless probe account; if it does not, use the handshake-only form or follow the authentication method supported by your installed HAProxy and MySQL versions. The check account is a network-reachable probe identity, not an authorization boundary for application traffic.
What a passing check proves
A passing check proves only that the node answered the configured probe. It does not prove that replication is current, that the node is writable, that the node has the desired role, or that a transaction can be retried after a failure. Keep role and lag decisions outside a basic HAProxy check unless another mechanism changes the backend membership or endpoint.
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- Back up the active configuration. Copy the file before editing it, preserving ownership and permissions.
- Run the installed binary’s configuration check. Use the validation mode documented by your package, commonly a command equivalent to
haproxy -c -f /path/to/haproxy.cfg. A successful parse does not prove that addresses, permissions, or firewall rules are correct. - Reload through the host service manager. Use the service-management command supplied by your operating system so existing sessions receive the platform’s normal graceful-reload behavior.
- Inspect logs and runtime statistics. Confirm that each backend is marked up, that the frontend is listening on the intended address, and that no bind, DNS, permission, or authentication errors appeared.
- Connect through HAProxy, not directly to a database. Verify the client uses the HAProxy address and port and that MySQL authentication, TLS requirements, and application connection settings still apply.
If validation fails, do not reload. Restore the last known-good file, correct one issue at a time, and run the check again.
Test distribution and failure behavior
Distribution test
Use an application-like client or a controlled script to open many short-lived connections through the HAProxy address. Record which backend each session reaches using a server-side connection identifier or another safe diagnostic. A single persistent connection cannot demonstrate balancing because HAProxy selects a backend when the connection is created.
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Backend outage test
- In staging, stop MySQL on one backend or block HAProxy’s access to that server.
- Wait for the configured check interval and failure threshold, then open new connections through HAProxy.
- Verify that new sessions avoid the failed node while checks continue in the background.
- Restore the node and confirm it returns only after the configured successful-check threshold.
- Repeat with a firewall drop or network interruption, not only a clean MySQL shutdown; failure symptoms can differ.
Existing sessions may still fail when their selected server disappears. The application must detect the broken connection, decide whether the operation is safe to repeat, and establish a new session. Never blindly replay a transaction that may have committed before the connection broke.
Role and lag test
For replicated systems, deliberately create or simulate a lagging replica and a role change. Confirm that your separate role-management or SQL-aware layer—not the basic HAProxy check—is what prevents unsafe routing. Document who changes backend membership and how quickly that change reaches all HAProxy instances.
Tune failure detection without causing flapping
HAProxy removes a server from rotation after failed checks and keeps checking it. Successful checks can return it after the configured rise threshold. Tune these controls together:
inter: the interval between checks.fall: consecutive failures required before marking a server down.rise: consecutive successes required before marking it up again.- Connect and session timeouts: how long HAProxy waits for network establishment and how it handles idle or long-lived sessions.
Short intervals and low failure counts detect outages quickly but can eject a busy or briefly congested server. Higher thresholds reduce flapping but keep a failed node in rotation longer. Choose values from the application’s tolerance for failed new connections, then monitor state changes so repeated up/down transitions are investigated rather than hidden.
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TLS, client identity, and network placement
Decide whether HAProxy should pass MySQL TLS through unchanged or terminate TLS at the proxy and establish a separate protected connection to the backend. Passthrough preserves end-to-end database encryption but leaves certificate negotiation to MySQL; termination centralizes certificate handling but requires an equally protected proxy-to-database leg and careful client configuration.
Restrict the listener to the networks that need it. Ensure the MySQL account’s host restriction matches the source address that MySQL actually sees. If your design needs the original client address at the database, select a client-address method deliberately and verify that the MySQL and HAProxy versions, TLS mode, and logging configuration support it; do not assume a TCP proxy will preserve it automatically.
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Troubleshoot common symptoms
All servers show down
- Confirm HAProxy can route to each private address and port.
- Check MySQL’s bind address, firewall rules, and listening socket.
- Run the configuration validator and inspect HAProxy logs for a bind or DNS error.
- If using a username probe, verify the account exists on every node, is unlocked, has no password as required by the probe, and permits the HAProxy source host.
Connections reach the wrong database role
This is expected when one undifferentiated backend contains different roles. Remove the mixed backend, create explicit role-specific endpoints, or adopt SQL-aware routing or orchestration that tracks writer and reader state.
Reads return stale data
HAProxy has no replication-lag awareness. A healthy network and successful handshake can coexist with a delayed replica. Route consistency-sensitive reads to the appropriate writer or use a lag-aware SQL proxy and policy.
Clients disconnect during maintenance
Health checks affect new connection selection; they do not migrate an existing TCP session. Drain or gracefully close sessions according to your application pool’s capabilities, and make retry logic transaction-aware.
A recovered node flaps in and out
Inspect check latency, MySQL error logs, host resource pressure, and network loss. Increase rise or fall, lengthen inter, or correct the underlying instability rather than masking it with permanently permissive checks.
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- Every backend has an explicit role and documented permission to receive the traffic sent to its endpoint.
- Each server line includes
check, and the selected MySQL check mode is understood by the operations team. - The probe account is dedicated, passwordless only where the probe requires it, unlocked, source-restricted, and not privileged.
- Configuration validation runs before every reload, and the previous configuration is restorable.
- Logs or statistics are monitored for backend state, check failures, and flapping.
- Staging tests cover distribution, a clean shutdown, a network failure, recovery, replication lag, and a role change.
- Applications detect broken sessions and retry only operations whose transaction outcome is known to be safe.
- TLS termination or passthrough, certificate rotation, and client-address expectations are documented.
Make the final architecture decision
Use HAProxy alone when the requirement is connection-level availability across interchangeable MySQL nodes and the application can handle dropped sessions. Choose a SQL-aware proxy when routing must follow writer/reader roles or replication lag. Choose application-side routing or orchestration when failover depends on transaction intent, consensus, or cluster state. In every design, treat a health check as evidence that a node answered a probe—not as proof that the node is safe for every database operation.
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