From Beginner to Expert
Table of Contents
- Introduction to MySQL Replication
- Prerequisites and Setup
- Understanding Replication Architecture
- Binary Logging
- Setting Up Master-Slave Replication
- Master-Master Replication
- MySQL Group Replication
- Monitoring and Troubleshooting
- Performance Optimization
- Security Considerations
- Advanced Topics
- Best Practices
1. Introduction to MySQL Replication
MySQL replication is a process that enables data from one MySQL database server (the master) to be copied to one or more MySQL database servers (the slaves). This feature is essential for:
- High Availability: Ensuring your database remains accessible even if one server fails
- Load Distribution: Distributing read queries across multiple servers
- Backup Solutions: Creating real-time backups
- Data Analysis: Separating analytical workloads from production systems
Types of Replication
graph TB
A[MySQL Replication Types] --> B[Asynchronous Replication]
A --> C[Semi-synchronous Replication]
A --> D[Synchronous Replication]
B --> B1[Master-Slave]
B --> B2[Master-Master]
C --> C1[Enhanced Durability]
C --> C2[Acknowledged Transactions]
D --> D1[Group Replication]
D --> D2[MySQL Cluster]2. Prerequisites and Setup
System Requirements
- Operating System: Linux (Ubuntu/CentOS), Windows, or macOS
- MySQL Version: 5.7+ (8.0+ recommended)
- Network: Stable network connection between servers
- Storage: Sufficient disk space for binary logs
Installing MySQL
Ubuntu/Debian
sudo apt update
sudo apt install mysql-server
sudo mysql_secure_installationBashCentOS/RHEL
sudo yum install mysql-server
sudo systemctl start mysqld
sudo systemctl enable mysqld
sudo mysql_secure_installationBashBasic Configuration
# /etc/mysql/mysql.conf.d/mysqld.cnf or /etc/my.cnf
[mysqld]
server-id = 1
log-bin = mysql-bin
binlog-format = ROW
gtid-mode = ON
enforce-gtid-consistency = ONBash3. Understanding Replication Architecture
Basic Master-Slave Architecture
graph LR
A[Client Applications] --> B[Master Server]
B --> C[Binary Log]
C --> D[Slave I/O Thread]
D --> E[Relay Log]
E --> F[Slave SQL Thread]
F --> G[Slave Database]
subgraph "Master Server"
B
C
end
subgraph "Slave Server"
D
E
F
G
endReplication Process Flow
sequenceDiagram
participant C as Client
participant M as Master
participant S as Slave
C->>M: INSERT/UPDATE/DELETE
M->>M: Execute Query
M->>M: Write to Binary Log
S->>M: Request Binary Log Events
M->>S: Send Binary Log Events
S->>S: Write to Relay Log
S->>S: Execute from Relay Log
S->>S: Update DatabaseMulti-Master Architecture
graph TB
A[Master 1] <--> B[Master 2]
A <--> C[Master 3]
B <--> C
A --> D[Slave 1]
A --> E[Slave 2]
B --> F[Slave 3]
C --> G[Slave 4]
style A fill:#e1f5fe
style B fill:#e1f5fe
style C fill:#e1f5fe
style D fill:#f3e5f5
style E fill:#f3e5f5
style F fill:#f3e5f5
style G fill:#f3e5f54. Binary Logging
Binary logs are essential for replication. They contain events that describe database changes.
Binary Log Configuration
[mysqld]
# Enable binary logging
log-bin = /var/log/mysql/mysql-bin
# Binary log format
binlog-format = ROW
# Log slave updates (for master-master setup)
log-slave-updates = ON
# Binary log expiration
expire_logs_days = 7
# Maximum binary log size
max_binlog_size = 100MBashBinary Log Formats
graph TD
A[Binary Log Formats] --> B[STATEMENT]
A --> C[ROW]
A --> D[MIXED]
B --> B1[Logs SQL statements]
B --> B2[Smaller log size]
B --> B3[Non-deterministic issues]
C --> C1[Logs row changes]
C --> C2[Larger log size]
C --> C3[More reliable]
D --> D1[Automatic selection]
D --> D2[Best of both worlds]Managing Binary Logs
-- Show binary logs
SHOW BINARY LOGS;
-- Show current binary log position
SHOW MASTER STATUS;
-- Purge old binary logs
PURGE BINARY LOGS TO 'mysql-bin.000010';
PURGE BINARY LOGS BEFORE '2023-01-01 00:00:00';
-- Show binary log events
SHOW BINLOG EVENTS IN 'mysql-bin.000001';SQL5. Setting Up Master-Slave Replication
Step 1: Configure the Master
# /etc/mysql/mysql.conf.d/mysqld.cnf
[mysqld]
server-id = 1
log-bin = mysql-bin
binlog-format = ROW
gtid-mode = ON
enforce-gtid-consistency = ONINIStep 2: Create Replication User
-- On Master server
CREATE USER 'replication_user'@'%' IDENTIFIED BY 'strong_password';
GRANT REPLICATION SLAVE ON *.* TO 'replication_user'@'%';
FLUSH PRIVILEGES;SQLStep 3: Get Master Status
-- Lock tables to get consistent snapshot
FLUSH TABLES WITH READ LOCK;
-- Get master status
SHOW MASTER STATUS;
+------------------+----------+--------------+------------------+
| File | Position | Binlog_Do_DB | Binlog_Ignore_DB |
+------------------+----------+--------------+------------------+
| mysql-bin.000001 | 154 | | |
+------------------+----------+--------------+------------------+
-- Don't unlock yet if taking a backupSQLStep 4: Configure the Slave
# /etc/mysql/mysql.conf.d/mysqld.cnf
[mysqld]
server-id = 2
relay-log = mysql-relay-bin
log-bin = mysql-bin
binlog-format = ROW
gtid-mode = ON
enforce-gtid-consistency = ON
read-only = ONINIStep 5: Start Replication
-- On Slave server
CHANGE MASTER TO
MASTER_HOST = '192.168.1.100',
MASTER_USER = 'replication_user',
MASTER_PASSWORD = 'strong_password',
MASTER_LOG_FILE = 'mysql-bin.000001',
MASTER_LOG_POS = 154;
START SLAVE;
-- Check slave status
SHOW SLAVE STATUS\GSQLStep 6: Verify Replication
-- On Master: Unlock tables
UNLOCK TABLES;
-- Test replication
CREATE DATABASE test_replication;
USE test_replication;
CREATE TABLE test_table (id INT PRIMARY KEY, name VARCHAR(50));
INSERT INTO test_table VALUES (1, 'Test Data');
-- On Slave: Verify data
USE test_replication;
SELECT * FROM test_table;SQLReplication Setup Flow
flowchart TD
A[Configure Master] --> B[Create Replication User]
B --> C[Get Master Status]
C --> D[Configure Slave]
D --> E[Start Replication]
E --> F[Verify Replication]
F --> G{Replication Working?}
G -->|Yes| H[Setup Complete]
G -->|No| I[Troubleshoot]
I --> J[Check Error Logs]
J --> K[Fix Issues]
K --> E6. Master-Master Replication
Master-Master replication allows both servers to act as masters and slaves simultaneously.
Architecture Overview
graph LR
A[Application Server 1] --> B[MySQL Master 1]
C[Application Server 2] --> D[MySQL Master 2]
B <--> D
subgraph "Data Center 1"
A
B
end
subgraph "Data Center 2"
C
D
endConfiguration for Master-Master
Server 1 Configuration
[mysqld]
server-id = 1
log-bin = mysql-bin
binlog-format = ROW
auto-increment-increment = 2
auto-increment-offset = 1
log-slave-updates = ON
gtid-mode = ON
enforce-gtid-consistency = ONINIServer 2 Configuration
[mysqld]
server-id = 2
log-bin = mysql-bin
binlog-format = ROW
auto-increment-increment = 2
auto-increment-offset = 2
log-slave-updates = ON
gtid-mode = ON
enforce-gtid-consistency = ONINISetup Process
-- On both servers, create replication users
CREATE USER 'replication_user'@'%' IDENTIFIED BY 'strong_password';
GRANT REPLICATION SLAVE ON *.* TO 'replication_user'@'%';
FLUSH PRIVILEGES;
-- On Server 1: Set up replication to Server 2
CHANGE MASTER TO
MASTER_HOST = '192.168.1.102',
MASTER_USER = 'replication_user',
MASTER_PASSWORD = 'strong_password',
MASTER_AUTO_POSITION = 1;
-- On Server 2: Set up replication to Server 1
CHANGE MASTER TO
MASTER_HOST = '192.168.1.101',
MASTER_USER = 'replication_user',
MASTER_PASSWORD = 'strong_password',
MASTER_AUTO_POSITION = 1;
-- Start replication on both servers
START SLAVE;SQLConflict Resolution
graph TD
A[Write Conflict Detected] --> B{Conflict Type}
B --> C[Primary Key Conflict]
B --> D[Data Inconsistency]
B --> E[Auto-increment Conflict]
C --> F[Use auto-increment offsets]
D --> G[Application-level resolution]
E --> H[Configure increment settings]
F --> I[Resume Replication]
G --> I
H --> I7. MySQL Group Replication
Group Replication provides distributed state machine replication with strong coordination between servers.
Group Replication Architecture
graph TB
A[Group Replication Cluster]
subgraph "MySQL Group"
B[MySQL Node 1Primary]
C[MySQL Node 2Secondary]
D[MySQL Node 3Secondary]
end
E[Application] --> B
E --> C
E --> D
B <--> C
B <--> D
C <--> D
style B fill:#e8f5e8
style C fill:#fff2cc
style D fill:#fff2ccConfiguration
[mysqld]
# Group Replication Configuration
server_id = 1
gtid_mode = ON
enforce_gtid_consistency = ON
binlog_format = ROW
log_slave_updates = ON
binlog_checksum = NONE
slave_preserve_commit_order = ON
# Group Replication specific
plugin_load_add = 'group_replication.so'
group_replication_group_name = "aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa"
group_replication_start_on_boot = off
group_replication_local_address = "127.0.0.1:33061"
group_replication_group_seeds = "127.0.0.1:33061,127.0.0.1:33062,127.0.0.1:33063"
group_replication_bootstrap_group = offINISetting Up Group Replication
-- Install the plugin
INSTALL PLUGIN group_replication SONAME 'group_replication.so';
-- Create replication user
SET SQL_LOG_BIN=0;
CREATE USER 'repl'@'%' IDENTIFIED BY 'password';
GRANT REPLICATION SLAVE ON *.* TO 'repl'@'%';
FLUSH PRIVILEGES;
SET SQL_LOG_BIN=1;
-- Configure the group replication recovery channel
CHANGE MASTER TO MASTER_USER='repl', MASTER_PASSWORD='password' FOR CHANNEL 'group_replication_recovery';
-- Bootstrap the group (on first node only)
SET GLOBAL group_replication_bootstrap_group=ON;
START GROUP_REPLICATION;
SET GLOBAL group_replication_bootstrap_group=OFF;
-- Join other nodes to the group
START GROUP_REPLICATION;SQLGroup Replication States
stateDiagram-v2
[*] --> OFFLINE
OFFLINE --> RECOVERING: START GROUP_REPLICATION
RECOVERING --> ONLINE: Recovery Complete
ONLINE --> ERROR: Network/Data Issues
ERROR --> RECOVERING: Resolve Issues
ONLINE --> OFFLINE: STOP GROUP_REPLICATION
ERROR --> OFFLINE: STOP GROUP_REPLICATION
ONLINE --> UNREACHABLE: Network Partition
UNREACHABLE --> ONLINE: Network Restored
UNREACHABLE --> OFFLINE: Manual Intervention8. Monitoring and Troubleshooting
Key Monitoring Metrics
mindmap
root((MySQL Replication Monitoring))
Lag Metrics
Seconds Behind Master
GTID Lag
Binary Log Position
Health Metrics
Slave IO Running
Slave SQL Running
Last Error
Performance Metrics
Replication Throughput
Binary Log Size
Relay Log Size
System Metrics
Network Latency
Disk I/O
CPU UsageEssential Monitoring Queries
-- Check slave status
SHOW SLAVE STATUS\G
-- Check replication lag
SELECT
CHANNEL_NAME,
SERVICE_STATE,
LAST_ERROR_MESSAGE,
LAST_ERROR_TIMESTAMP
FROM performance_schema.replication_connection_status;
-- Monitor GTID progress
SHOW GLOBAL VARIABLES LIKE 'gtid_executed';
SHOW GLOBAL VARIABLES LIKE 'gtid_purged';
-- Check binary log usage
SELECT
ROUND(SUM(data_length + index_length) / 1024 / 1024, 1) AS 'DB Size in MB'
FROM information_schema.tables;
-- Monitor replication threads
SELECT * FROM performance_schema.replication_applier_status;SQLCommon Issues and Solutions
Replication Lag
flowchart TD
A[High Replication Lag] --> B{Identify Cause}
B --> C[Network Issues]
B --> D[Slave Hardware]
B --> E[Large Transactions]
B --> F[Binary Log Format]
C --> C1[Check network latency]
C --> C2[Increase bandwidth]
D --> D1[Upgrade hardware]
D --> D2[Optimize queries]
E --> E1[Break large transactions]
E --> E2[Use smaller batches]
F --> F1[Consider ROW format]
F --> F2[Optimize binlog settings]Slave Synchronization Issues
-- Skip problematic statement (use with caution)
SET GLOBAL sql_slave_skip_counter = 1;
START SLAVE;
-- Reset slave to specific position
STOP SLAVE;
CHANGE MASTER TO MASTER_LOG_POS = position_number;
START SLAVE;
-- Reset slave completely
STOP SLAVE;
RESET SLAVE ALL;
-- Reconfigure and start replicationSQLMonitoring Scripts
Bash Monitoring Script
#!/bin/bash
# mysql_replication_monitor.sh
MYSQL_USER="monitor_user"
MYSQL_PASS="monitor_password"
MYSQL_HOST="localhost"
# Check slave status
SLAVE_STATUS=$(mysql -u${MYSQL_USER} -p${MYSQL_PASS} -h${MYSQL_HOST} -e "SHOW SLAVE STATUS\G")
# Extract key metrics
IO_RUNNING=$(echo "$SLAVE_STATUS" | grep "Slave_IO_Running" | awk '{print $2}')
SQL_RUNNING=$(echo "$SLAVE_STATUS" | grep "Slave_SQL_Running" | awk '{print $2}')
SECONDS_BEHIND=$(echo "$SLAVE_STATUS" | grep "Seconds_Behind_Master" | awk '{print $2}')
echo "=== MySQL Replication Status ==="
echo "IO Thread Running: $IO_RUNNING"
echo "SQL Thread Running: $SQL_RUNNING"
echo "Seconds Behind Master: $SECONDS_BEHIND"
# Alert if replication is broken
if [ "$IO_RUNNING" != "Yes" ] || [ "$SQL_RUNNING" != "Yes" ]; then
echo "ALERT: Replication is broken!"
exit 1
fi
# Alert if lag is too high
if [ "$SECONDS_BEHIND" -gt 60 ]; then
echo "WARNING: High replication lag detected!"
exit 1
fi
echo "Replication is healthy"Bash9. Performance Optimization
Optimization Strategies
graph TD
A[Performance Optimization] --> B[Hardware Optimization]
A --> C[Configuration Tuning]
A --> D[Application Optimization]
B --> B1[SSD Storage]
B --> B2[More RAM]
B --> B3[Better Network]
C --> C1[Binary Log Settings]
C --> C2[InnoDB Configuration]
C --> C3[Replication Settings]
D --> D1[Batch Operations]
D --> D2[Read-Write Splitting]
D --> D3[Connection Pooling]Key Configuration Parameters
[mysqld]
# InnoDB settings for better replication performance
innodb_buffer_pool_size = 70% of RAM
innodb_log_file_size = 256M
innodb_log_buffer_size = 64M
innodb_flush_log_at_trx_commit = 2
# Binary log optimization
sync_binlog = 0
binlog_cache_size = 32K
max_binlog_cache_size = 2G
# Replication optimization
slave_parallel_workers = 4
slave_parallel_type = LOGICAL_CLOCK
slave_preserve_commit_order = ON
relay_log_recovery = ON
# Network optimization
max_allowed_packet = 128M
net_buffer_length = 32KINIParallel Replication
sequenceDiagram
participant M as Master
participant S as Slave Coordinator
participant W1 as Worker 1
participant W2 as Worker 2
participant W3 as Worker 3
participant W4 as Worker 4
M->>S: Binary Log Events
S->>S: Analyze Dependencies
S->>W1: Database A Events
S->>W2: Database B Events
S->>W3: Database C Events
S->>W4: Database D Events
par
W1->>W1: Apply Events
and
W2->>W2: Apply Events
and
W3->>W3: Apply Events
and
W4->>W4: Apply Events
endPerformance Monitoring Queries
-- Check slave worker threads
SELECT
CHANNEL_NAME,
WORKER_ID,
SERVICE_STATE,
LAST_ERROR_MESSAGE
FROM performance_schema.replication_applier_status_by_worker;
-- Monitor replication throughput
SELECT
EVENT_NAME,
COUNT_STAR,
SUM_TIMER_WAIT/1000000000000 AS 'Total Time (sec)',
AVG_TIMER_WAIT/1000000000000 AS 'Avg Time (sec)'
FROM performance_schema.events_statements_summary_global_by_event_name
WHERE EVENT_NAME LIKE '%Binlog%';
-- Check binary log cache hit ratio
SHOW GLOBAL STATUS LIKE 'Binlog_cache%';SQL10. Security Considerations
Security Architecture
SSL/TLS Configuration
graph TB
subgraph "Security Layers"
A[Network Security] --> B[Authentication]
B --> C[Authorization]
C --> D[Encryption]
D --> E[Auditing]
end
A --> A1[Firewall Rules]
A --> A2[VPN/Private Networks]
B --> B1[Strong Passwords]
B --> B2[Certificate Authentication]
C --> C1[Least Privilege]
C --> C2[Role-based Access]
D --> D1[SSL/TLS]
D --> D2[Binary Log Encryption]
E --> E1[Connection Logging]
E --> E2[Change Tracking]Master Configuration
[mysqld]
# SSL Configuration
ssl-ca = /etc/mysql/ssl/ca-cert.pem
ssl-cert = /etc/mysql/ssl/server-cert.pem
ssl-key = /etc/mysql/ssl/server-key.pem
require_secure_transport = ONINISlave Configuration
-- Configure SSL for replication
CHANGE MASTER TO
MASTER_HOST = '192.168.1.100',
MASTER_USER = 'replication_user',
MASTER_PASSWORD = 'strong_password',
MASTER_SSL = 1,
MASTER_SSL_CA = '/etc/mysql/ssl/ca-cert.pem',
MASTER_SSL_CERT = '/etc/mysql/ssl/client-cert.pem',
MASTER_SSL_KEY = '/etc/mysql/ssl/client-key.pem';SQLSecurity Best Practices
-- Create dedicated replication user with minimal privileges
CREATE USER 'repl_user'@'slave_ip' IDENTIFIED BY 'complex_password';
GRANT REPLICATION SLAVE ON *.* TO 'repl_user'@'slave_ip';
-- Use certificate-based authentication
CREATE USER 'repl_user'@'slave_ip' IDENTIFIED WITH authentication_string
REQUIRE SSL
AND X509
AND ISSUER '/C=US/ST=State/L=City/O=Organization/OU=Unit/CN=CA';
-- Enable binary log encryption (MySQL 8.0+)
SET GLOBAL binlog_encryption = ON;SQLNetwork Security
# Firewall rules for MySQL replication
# Allow MySQL port from specific IPs only
iptables -A INPUT -p tcp --dport 3306 -s 192.168.1.100 -j ACCEPT
iptables -A INPUT -p tcp --dport 3306 -j DROP
# For Group Replication (additional ports)
iptables -A INPUT -p tcp --dport 33061 -s 192.168.1.0/24 -j ACCEPTBash11. Advanced Topics
Global Transaction Identifiers (GTIDs)
graph TD
A[GTID Components] --> B[Source UUID]
A --> C[Transaction Number]
B --> B1[Server Identifier]
B --> B2[Unique per server]
C --> C1[Sequential number]
C --> C2[Per transaction]
D[GTID Format] --> E["source_id:transaction_id"]
E --> F["Example: 3E11FA47-71CA-11E1-9E33-C80AA9429562:23"]GTID Configuration
[mysqld]
gtid_mode = ON
enforce_gtid_consistency = ON
log_slave_updates = ONINIGTID Operations
-- Check GTID status
SHOW GLOBAL VARIABLES LIKE 'gtid%';
-- View executed GTIDs
SELECT @@global.gtid_executed;
-- Set up GTID-based replication
CHANGE MASTER TO
MASTER_HOST = 'master_host',
MASTER_USER = 'repl_user',
MASTER_PASSWORD = 'password',
MASTER_AUTO_POSITION = 1;SQLPoint-in-Time Recovery with Replication
timeline
title Point-in-Time Recovery Process
section Backup
Daily Backup : Full backup created
section Failure
Data Corruption : Problem detected
section Recovery
Restore Backup : Apply full backup
Apply Binlogs : Replay binary logs
Specific Point : Stop at desired time
section Validation
Verify Data : Check data integrity
Resume Ops : Resume operationsRecovery Process
# 1. Restore from backup
mysql < full_backup.sql
# 2. Apply binary logs up to specific point
mysqlbinlog --start-datetime="2023-01-01 09:00:00" \
--stop-datetime="2023-01-01 10:30:00" \
mysql-bin.000001 mysql-bin.000002 | mysql
# 3. Verify and resume replicationBashMulti-Source Replication
graph TB
A[Master 1Sales DB] --> D[Consolidated Slave]
B[Master 2Inventory DB] --> D
C[Master 3Customer DB] --> D
D --> E[Data Warehouse]
D --> F[Reporting Server]
style A fill:#ff9999
style B fill:#99ff99
style C fill:#9999ff
style D fill:#ffff99Configuration
-- Set up multiple replication channels
CHANGE MASTER TO
MASTER_HOST='sales_master',
MASTER_USER='repl_user',
MASTER_PASSWORD='password'
FOR CHANNEL 'sales_channel';
CHANGE MASTER TO
MASTER_HOST='inventory_master',
MASTER_USER='repl_user',
MASTER_PASSWORD='password'
FOR CHANNEL 'inventory_channel';
-- Start specific channels
START SLAVE FOR CHANNEL 'sales_channel';
START SLAVE FOR CHANNEL 'inventory_channel';SQLDelayed Replication
-- Set up delayed replication (delayed by 1 hour)
CHANGE MASTER TO
MASTER_HOST='master_host',
MASTER_USER='repl_user',
MASTER_PASSWORD='password',
MASTER_DELAY = 3600;
-- Check delay status
SHOW SLAVE STATUS\GSQL12. Best Practices
Replication Best Practices Checklist
mindmap
root((Best Practices))
Planning
Capacity Planning
Network Design
Security Planning
Disaster Recovery
Configuration
GTID Usage
Binary Log Format
Parallel Workers
SSL Encryption
Monitoring
Lag Monitoring
Error Alerting
Performance Metrics
Health Checks
Maintenance
Log Rotation
Regular Testing
Backup Verification
Documentation1. Planning and Design
Capacity Planning
- Network Bandwidth: Ensure sufficient bandwidth for replication traffic
- Storage: Plan for binary log storage (typically 10-20% of data size)
- Hardware: Size slave servers appropriately for workload
Network Design
graph TB
subgraph "Production Network"
A[Master Server]
B[Application Servers]
end
subgraph "Replication Network"
C[Dedicated Network]
D[Slave Servers]
end
A -.-> C
C --> D
B --> A
style A fill:#ff9999
style D fill:#99ff99
style C fill:#ffff992. Configuration Best Practices
# Recommended production configuration
[mysqld]
# Server identification
server_id = 1
# Binary logging
log_bin = mysql-bin
binlog_format = ROW
sync_binlog = 1
expire_logs_days = 7
# GTID
gtid_mode = ON
enforce_gtid_consistency = ON
# Replication
log_slave_updates = ON
relay_log_recovery = ON
slave_parallel_workers = 4
slave_parallel_type = LOGICAL_CLOCK
# InnoDB
innodb_flush_log_at_trx_commit = 1
innodb_buffer_pool_size = 70% of RAM
# Security
require_secure_transport = ONINI3. Monitoring and Alerting
Key Metrics to Monitor
-- Create monitoring view
CREATE VIEW replication_health AS
SELECT
'Replication Status' as metric,
CASE
WHEN IO_THREAD = 'Yes' AND SQL_THREAD = 'Yes'
THEN 'Healthy'
ELSE 'Broken'
END as status,
SECONDS_BEHIND_MASTER as lag_seconds,
LAST_ERROR as last_error
FROM (
SELECT
VALUE as IO_THREAD
FROM performance_schema.global_status
WHERE VARIABLE_NAME = 'Slave_IO_Running'
) io
CROSS JOIN (
SELECT
VALUE as SQL_THREAD
FROM performance_schema.global_status
WHERE VARIABLE_NAME = 'Slave_SQL_Running'
) sql;SQLAlerting Thresholds
- Replication Lag: Alert if > 60 seconds
- Thread Status: Alert immediately if IO or SQL thread stops
- Error Rate: Alert on any replication errors
- Disk Space: Alert when binary log disk usage > 80%
4. Backup and Recovery
Backup Strategy
graph LR
A[Master Backup] --> B[Mysqldump]
A --> C[Physical Backup]
A --> D[Binary Logs]
E[Slave Backup] --> F[Read-only Backup]
E --> G[Consistent Snapshot]
B --> H[Point-in-time Recovery]
C --> H
D --> HBackup Commands
# Consistent backup with binary log position
mysqldump --single-transaction --routines --triggers --master-data=2 \
--all-databases > backup_$(date +%Y%m%d_%H%M%S).sql
# Binary log backup
mysqlbinlog --result-file=binlog_backup.sql mysql-bin.000001Bash5. Testing and Validation
Regular Testing Checklist
- Failover testing
- Backup restoration testing
- Replication lag under load
- Network partition recovery
- Point-in-time recovery
- Security penetration testing
Automated Testing Script
#!/bin/bash
# replication_test.sh
# Test basic connectivity
mysql -h slave_host -u test_user -p -e "SELECT 1"
# Test replication lag
CURRENT_TIME=$(date +%s)
mysql -h master_host -u test_user -p -e "INSERT INTO test.heartbeat VALUES (${CURRENT_TIME})"
sleep 5
SLAVE_TIME=$(mysql -h slave_host -u test_user -p -e "SELECT MAX(timestamp) FROM test.heartbeat" -N)
LAG=$((CURRENT_TIME - SLAVE_TIME))
if [ $LAG -gt 10 ]; then
echo "ALERT: Replication lag is ${LAG} seconds"
exit 1
fi
echo "Replication test passed. Lag: ${LAG} seconds"Bash6. Troubleshooting Workflow
flowchart TD
A[Replication Issue Detected] --> B{Check Slave Status}
B --> C[IO Thread Stopped]
B --> D[SQL Thread Stopped]
B --> E[High Lag]
B --> F[Duplicate Key Error]
C --> C1[Check network connectivity]
C --> C2[Verify master status]
C --> C3[Check credentials]
D --> D1[Check for table locks]
D --> D2[Review error logs]
D --> D3[Check disk space]
E --> E1[Monitor system resources]
E --> E2[Check for large transactions]
E --> E3[Verify network bandwidth]
F --> F1[Identify conflicting data]
F --> F2[Skip duplicate or fix data]
F --> F3[Resume replication]
C1 --> G[Resolve and Restart]
C2 --> G
C3 --> G
D1 --> G
D2 --> G
D3 --> G
E1 --> H[Optimize and Monitor]
E2 --> H
E3 --> H
F1 --> I[Data Consistency Check]
F2 --> I
F3 --> I7. Documentation Standards
Required Documentation
- Network topology diagrams
- Configuration file templates
- Runbook procedures
- Contact information
- Escalation procedures
- Change management process
Configuration Management
# Version control for MySQL configurations
git init mysql-configs
cd mysql-configs
# Store configurations
cp /etc/mysql/mysql.conf.d/mysqld.cnf master.cnf
cp /etc/mysql/mysql.conf.d/mysqld.cnf slave.cnf
git add *.cnf
git commit -m "Initial MySQL replication configuration"BashConclusion
MySQL replication is a powerful feature that provides high availability, scalability, and disaster recovery capabilities. This comprehensive guide has covered:
- Basic Concepts: Understanding replication fundamentals
- Setup Procedures: Step-by-step configuration guides
- Advanced Topics: GTID, Group Replication, and complex topologies
- Operations: Monitoring, troubleshooting, and maintenance
- Best Practices: Production-ready recommendations
Key Takeaways
- Plan Thoroughly: Proper planning prevents performance problems
- Monitor Continuously: Proactive monitoring prevents issues
- Test Regularly: Regular testing ensures reliability
- Document Everything: Good documentation saves time
- Stay Updated: Keep up with MySQL replication improvements
Next Steps
- Practice with test environments
- Implement monitoring solutions
- Develop disaster recovery procedures
- Consider MySQL 8.0 features like Group Replication
- Explore cloud-based replication solutions
For continued learning, refer to the official MySQL documentation and consider MySQL certification programs.
This guide serves as a comprehensive reference for MySQL replication. Always test configurations in development environments before applying to production systems.
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