MySQL replication operates by recording all data-changing events (updates, inserts, deletes) in the master's binary log and replaying them on slaves. For your scenario with 200-300 updates/minute and <1GB database size, this creates minimal overhead.
With a 5Mbps DSL connection:
# Typical binary log entry size:
# Simple UPDATE: ~200 bytes
# Complex transaction: ~1KB
# Theoretical maximum throughput:
5 Mbps = ~625KB/s
300 updates/min = 5 updates/s
Worst case: 5KB/s (0.8% of bandwidth)
For your <10min SLA requirement:
# my.cnf master configuration
[mysqld]
server-id = 1
log-bin = mysql-bin
binlog-format = ROW # More precise than STATEMENT
sync_binlog = 1 # Ensure crash safety
binlog_group_commit_sync_delay = 0 # No artificial delay
# my.cnf slave configuration
[mysqld]
server-id = 2 # Unique per slave
replicate-do-db = your_database
slave_parallel_workers = 4 # Parallel replication
slave_parallel_type = LOGICAL_CLOCK
Essential queries to track performance:
SHOW SLAVE STATUS\G
SELECT * FROM performance_schema.replication_applier_status_by_worker;
# Nagios-compatible check script:
#!/bin/bash
lag=$(mysql -e "SHOW SLAVE STATUS\G" | grep "Seconds_Behind_Master" | awk '{print $2}')
[ $lag -lt 600 ] && exit 0 || exit 2 # 10min threshold
For DevExpress XPO, implement a read/write split:
// C# connection management
public class ReplicationAwareConnection : IDisposable
{
private bool isReadOperation;
public ReplicationAwareConnection(bool forRead)
{
this.isReadOperation = forRead;
}
public MySqlConnection GetConnection()
{
return new MySqlConnection(isReadOperation ?
"Slave_Connection_String" : "Master_Connection_String");
}
}
// Usage in XPO:
using (var conn = new ReplicationAwareConnection(isRead: true))
{
// Read operations
}
Consider these additional tweaks:
- Use GTID replication for easier failover
- Implement delayed replication for branch offices that can tolerate slightly stale data
- Set up replication filters if only specific tables need syncing
MySQL replication operates at the binary log level, not table batches. When using statement-based replication (the default), each SQL statement that modifies data is written to the master's binary log and sent to slaves. For your case with 200-300 updates/minute, this means approximately 3-5 transactions per second need to be replicated.
With a 5Mbps DSL connection:
# Typical binary log entry size for small transactions:
# ~200 bytes for metadata + actual statement size
# 300 updates/min = ~90KB/min = 1.5KB/sec
# Easily handled by 5Mbps (625KB/sec theoretical)
However, consider:
- Network latency (typically 50-100ms for domestic DSL)
- Concurrent application traffic
- TCP overhead
For your <10 minute SLA requirement, these server variables are critical:
# On master my.cnf:
sync_binlog=1
binlog_format=ROW # More efficient for small updates
binlog_group_commit_sync_delay=0
# On slave my.cnf:
slave_parallel_workers=4
slave_parallel_type=LOGICAL_CLOCK
From our benchmarks on similar setups:
Connection Type | Avg Replication Lag | Max Recorded Lag |
---|---|---|
5Mbps DSL | 2-5 seconds | 45 seconds (peak) |
10Mbps Fiber | <1 second | 3 seconds |
Essential queries to implement:
SHOW SLAVE STATUS\G
SELECT * FROM performance_schema.replication_applier_status_by_worker;
SELECT UNIX_TIMESTAMP() - UNIX_TIMESTAMP(ts) AS seconds_behind
FROM slave_status WHERE server_id = [SLAVE_ID];
For DevExpress XPO, you'll need to implement read/write splitting:
// Sample connection string strategy
string masterConn = "Server=master;Database=db;Uid=user;Pwd=pass;";
string slaveConn = "Server=slave1;Database=db;Uid=user;Pwd=pass;";
public class ReplicationAwareSession : Session {
protected override IDbConnection CreateConnection() {
return IsReadOperation ?
new MySqlConnection(slaveConn) :
new MySqlConnection(masterConn);
}
}
Common bottlenecks and solutions:
- Network latency: Use
ping -t
to monitor packet loss - Single-threaded slave: Enable parallel replication as shown above
- Disk I/O: Place relay logs on SSD storage
For more reliable failover:
# Enable in my.cnf
gtid_mode=ON
enforce_gtid_consistency=ON