MySQL and MariaDB database administration for web application

Our company is engaged in the development, support and maintenance of sites of any complexity. From simple one-page sites to large-scale cluster systems built on micro services. Experience of developers is confirmed by certificates from vendors.

Development and maintenance of all types of websites:

Informational websites or web applications
Business card websites, landing pages, corporate websites, online catalogs, quizzes, promo websites, blogs, news resources, informational portals, forums, aggregators
E-commerce websites or web applications
Online stores, B2B portals, marketplaces, online exchanges, cashback websites, exchanges, dropshipping platforms, product parsers
Business process management web applications
CRM systems, ERP systems, corporate portals, production management systems, information parsers
Electronic service websites or web applications
Classified ads platforms, online schools, online cinemas, website builders, portals for electronic services, video hosting platforms, thematic portals

These are just some of the technical types of websites we work with, and each of them can have its own specific features and functionality, as well as be customized to meet the specific needs and goals of the client.

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MySQL/MariaDB Database Administration for Web Applications

MySQL and MariaDB are the most common stack for PHP-based web applications. LAMP projects, WordPress, Magento, Laravel with MySQL — all require systematic maintenance. Without it: fragmented MyISAM tables, overflowing binary logs, slow queries without indexes, unoptimized InnoDB buffer pool.

Initial Audit

-- Version and default engine
SELECT VERSION();
SHOW ENGINES;

-- Database sizes
SELECT table_schema,
       ROUND(SUM(data_length + index_length) / 1024 / 1024, 1) AS size_mb
FROM information_schema.tables
GROUP BY table_schema
ORDER BY size_mb DESC;

-- Table fragmentation (Data_free > 0 — can be optimized)
SELECT table_schema, table_name, engine,
       ROUND(data_length / 1024 / 1024, 1)  AS data_mb,
       ROUND(index_length / 1024 / 1024, 1) AS index_mb,
       ROUND(data_free / 1024 / 1024, 1)    AS free_mb
FROM information_schema.tables
WHERE table_schema NOT IN ('information_schema', 'mysql', 'performance_schema')
  AND data_free > 0
ORDER BY data_free DESC
LIMIT 20;

InnoDB: Key Parameters

# /etc/mysql/conf.d/optimized.cnf
[mysqld]
# Buffer pool — allocate 70-80% RAM on dedicated server
innodb_buffer_pool_size = 4G
innodb_buffer_pool_instances = 4  # one per gigabyte

# Log file size — larger = less frequent checkpoints, higher write performance
innodb_log_file_size = 512M
innodb_log_buffer_size = 64M

# Synchronization: 2 = safe on power loss, but O_DSYNC
innodb_flush_log_at_trx_commit = 1  # 1 — full ACID, 2 — slightly faster

# File per table — convenient for backups and OPTIMIZE
innodb_file_per_table = ON

# Parallelism
innodb_read_io_threads  = 8
innodb_write_io_threads = 8
innodb_io_capacity      = 2000  # for SSD
innodb_io_capacity_max  = 4000

Managing Binary Log

Binary log is needed for replication and PITR. Without rotation it fills disk space:

[mysqld]
log_bin            = /var/log/mysql/mysql-bin
binlog_format      = ROW       # ROW is safer than STATEMENT for replication
expire_logs_days   = 7         # MySQL 5.7
binlog_expire_logs_seconds = 604800  # MySQL 8.0+
max_binlog_size    = 100M

Manual cleanup:

-- View current binlog files
SHOW BINARY LOGS;

-- Delete older than specific date
PURGE BINARY LOGS BEFORE '2025-01-01 00:00:00';
-- or
PURGE BINARY LOGS TO 'mysql-bin.000150';

Backup

mysqldump — for most projects:

# Hot backup of InnoDB with consistent snapshot
mysqldump \
  --single-transaction \
  --quick \
  --routines \
  --triggers \
  --events \
  --flush-logs \
  -u backup -p'password' mydb \
  | gzip > /backups/mydb_$(date +%Y%m%d_%H%M).sql.gz

--single-transaction opens a transaction for InnoDB — backup without table locks. For MyISAM requires --lock-tables.

Percona XtraBackup — physical backup for large databases (>10 GB) without performance impact:

# Full backup
xtrabackup --backup \
  --user=backup --password='password' \
  --target-dir=/backups/full_$(date +%Y%m%d)

# Prepare for recovery
xtrabackup --prepare --target-dir=/backups/full_20250101

# Incremental (from last full backup)
xtrabackup --backup --incremental-basedir=/backups/full_20250101 \
  --target-dir=/backups/incr_$(date +%Y%m%d)

Master-Replica Replication

# master: my.cnf
[mysqld]
server-id = 1
log_bin   = /var/log/mysql/mysql-bin
-- On master: create user for replication
CREATE USER 'replication'@'10.0.0.2' IDENTIFIED BY 'strong_password';
GRANT REPLICATION SLAVE ON *.* TO 'replication'@'10.0.0.2';
FLUSH PRIVILEGES;

-- Take snapshot for replica initialization
FLUSH TABLES WITH READ LOCK;
SHOW MASTER STATUS; -- remember File and Position
-- (in another session execute mysqldump)
UNLOCK TABLES;
# replica: my.cnf
[mysqld]
server-id        = 2
relay_log        = /var/log/mysql/mysql-relay
read_only        = ON
super_read_only  = ON  # MySQL 5.7+
-- On replica after dump restore
CHANGE MASTER TO
  MASTER_HOST     = '10.0.0.1',
  MASTER_USER     = 'replication',
  MASTER_PASSWORD = 'strong_password',
  MASTER_LOG_FILE = 'mysql-bin.000001',
  MASTER_LOG_POS  = 12345;
START SLAVE;
SHOW SLAVE STATUS\G

ProxySQL: Connection Management and Routing

ProxySQL sits between application and MySQL: separates READ/WRITE queries, limits connection pool:

-- In ProxySQL console (port 6032)
INSERT INTO mysql_servers (hostgroup_id, hostname, port, weight) VALUES
  (1, '10.0.0.1', 3306, 1000),  -- hostgroup 1 = writer
  (2, '10.0.0.2', 3306, 1000);  -- hostgroup 2 = reader

-- Rules: SELECT to reader, everything else to writer
INSERT INTO mysql_query_rules (rule_id, active, match_digest, destination_hostgroup) VALUES
  (1, 1, '^SELECT.*FOR UPDATE',  1),
  (2, 1, '^SELECT',               2);

LOAD MYSQL SERVERS TO RUNTIME;
LOAD MYSQL QUERY RULES TO RUNTIME;
SAVE MYSQL SERVERS TO DISK;

OPTIMIZE TABLE and Defragmentation

-- Defragment specific table (locks, run during maintenance window)
OPTIMIZE TABLE orders;

-- Check and repair for MyISAM
CHECK TABLE old_table;
REPAIR TABLE old_table;

For InnoDB OPTIMIZE TABLE recreates the table — similar to VACUUM FULL in PostgreSQL. Takes long on large tables. Alternative without locking:

# pt-online-schema-change from Percona Toolkit
pt-online-schema-change \
  --alter "ENGINE=InnoDB" \
  --execute \
  D=mydb,t=orders \
  u=root,p=password,h=localhost

Monitoring via performance_schema

-- Top slow queries
SELECT digest_text,
       count_star,
       ROUND(avg_timer_wait / 1e12, 3)  AS avg_sec,
       ROUND(sum_timer_wait / 1e12, 3)  AS total_sec
FROM performance_schema.events_statements_summary_by_digest
WHERE schema_name = 'mydb'
ORDER BY sum_timer_wait DESC
LIMIT 10;

-- Current locks
SELECT waiting_trx_id, blocking_trx_id,
       waiting_query, blocking_query
FROM sys.innodb_lock_waits;

Regular Tasks

Task Frequency
mysqldump backup Daily
Replica lag check Continuous
Binary log rotation By expire_logs_days
Table OPTIMIZE Weekly/monthly
Slow query log analysis Weekly
Disk space check Continuous (alert at >80%)