Pure PHP Implementation of MySQL replication protocol. This allow you to receive event like insert, update, delete with their data and raw SQL queries.
Based on a great work of creators：https://github.com/noplay/python-mysql-replication and https://github.com/fengxiangyun/mysql-replication
In you project
composer require krowinski/php-mysql-replicationor standalone
git clone https://github.com/krowinski/php-mysql-replication.git
composer install -o- mysql 5.5
- mysql 5.6
- mysql 5.7
- mysql 8.0 (ONLY with mysql_native_password)
- mariadb 5.5
- mariadb 10.0
- mariadb 10.1
- probably percona versions as is based on native mysql
In your MySQL server configuration file you need to enable replication:
[mysqld]
server-id = 1
log_bin = /var/log/mysql/mysql-bin.log
expire_logs_days = 10
max_binlog_size = 100M
binlog-format = row #Very important if you want to receive write, update and delete row events
Mysql replication events explained https://dev.mysql.com/doc/internals/en/event-meanings.html
Mysql user privileges:
GRANT REPLICATION SLAVE, REPLICATION CLIENT ON *.* TO 'user'@'host';
GRANT SELECT ON `dbName`.* TO 'user'@'host';
Use ConfigBuilder or ConfigFactory to create configuration. Available options:
'user' - your mysql user (mandatory)
'ip' or 'host' - your mysql host/ip (mandatory)
'password' - your mysql password (mandatory)
'port' - your mysql host port (default 3306)
'charset' - db connection charset (default utf8)
'gtid' - GTID marker(s) to start from (format 9b1c8d18-2a76-11e5-a26b-000c2976f3f3:1-177592)
'mariaDbGtid' - MariaDB GTID marker(s) to start from (format 1-1-3,0-1-88)
'slaveId' - script slave id for identification (SHOW SLAVE HOSTS)
'binLogFileName' - bin log file name to start from
'binLogPosition' - bin log position to start from
'eventsOnly' - array to listen on events (full list in ConstEventType.php file)
'eventsIgnore' - array to ignore events (full list in ConstEventType.php file)
'tablesOnly' - array to only listen on given tables (default all tables)
'databasesOnly' - array to only listen on given databases (default all databases)
'tableCacheSize' - some data are collected from information schema, this data is cached.
'custom' - if some params must be set in extended/implemented own classes
'heartbeatPeriod' - sets the interval in seconds between replication heartbeats. Whenever the master's binary log is updated with an event, the waiting period for the next heartbeat is reset. interval is a decimal value having the range 0 to 4294967 seconds and a resolution in milliseconds; the smallest nonzero value is 0.001. Heartbeats are sent by the master only if there are no unsent events in the binary log file for a period longer than interval.
Ruby: https://github.com/y310/kodama
Java: https://github.com/shyiko/mysql-binlog-connector-java
GO: https://github.com/siddontang/go-mysql
Python: https://github.com/noplay/python-mysql-replication
.NET: https://github.com/rusuly/MySqlCdc
All examples are available in the examples directory
This example will dump all replication events to the console:
Remember to change config for your user, host and password.
User should have replication privileges [ REPLICATION CLIENT, SELECT]
php example/dump_events.phpFor test SQL events:
CREATE DATABASE php_mysql_replication;
use php_mysql_replication;
CREATE TABLE test4 (id int NOT NULL AUTO_INCREMENT, data VARCHAR(255), data2 VARCHAR(255), PRIMARY KEY(id));
INSERT INTO test4 (data,data2) VALUES ("Hello", "World");
UPDATE test4 SET data = "World", data2="Hello" WHERE id = 1;
DELETE FROM test4 WHERE id = 1;Output will be similar to this (depends on configuration for example GTID off/on):
=== Event format description ===
Date: 2017-07-06T13:31:11+00:00
Log position: 0
Event size: 116
Memory usage 2.4 MB
=== Event gtid ===
Date: 2017-07-06T15:23:44+00:00
Log position: 57803092
Event size: 48
Commit: true
GTID NEXT: 3403c535-624f-11e7-9940-0800275713ee:13675
Memory usage 2.42 MB
=== Event query ===
Date: 2017-07-06T15:23:44+00:00
Log position: 57803237
Event size: 145
Database: php_mysql_replication
Execution time: 0
Query: CREATE DATABASE php_mysql_replication
Memory usage 2.45 MB
=== Event gtid ===
Date: 2017-07-06T15:23:44+00:00
Log position: 57803285
Event size: 48
Commit: true
GTID NEXT: 3403c535-624f-11e7-9940-0800275713ee:13676
Memory usage 2.45 MB
=== Event query ===
Date: 2017-07-06T15:23:44+00:00
Log position: 57803500
Event size: 215
Database: php_mysql_replication
Execution time: 0
Query: CREATE TABLE test4 (id int NOT NULL AUTO_INCREMENT, data VARCHAR(255), data2 VARCHAR(255), PRIMARY KEY(id))
Memory usage 2.45 MB
=== Event gtid ===
Date: 2017-07-06T15:23:44+00:00
Log position: 57803548
Event size: 48
Commit: true
GTID NEXT: 3403c535-624f-11e7-9940-0800275713ee:13677
Memory usage 2.45 MB
=== Event query ===
Date: 2017-07-06T15:23:44+00:00
Log position: 57803637
Event size: 89
Database: php_mysql_replication
Execution time: 0
Query: BEGIN
Memory usage 2.45 MB
=== Event tableMap ===
Date: 2017-07-06T15:23:44+00:00
Log position: 57803708
Event size: 71
Table: test4
Database: php_mysql_replication
Table Id: 866
Columns amount: 3
Memory usage 2.71 MB
=== Event write ===
Date: 2017-07-06T15:23:44+00:00
Log position: 57803762
Event size: 54
Table: test4
Affected columns: 3
Changed rows: 1
Values: Array
(
[0] => Array
(
[id] => 1
[data] => Hello
[data2] => World
)
)
Memory usage 2.74 MB
=== Event xid ===
Date: 2017-07-06T15:23:44+00:00
Log position: 57803793
Event size: 31
Transaction ID: 662802
Memory usage 2.75 MB
=== Event gtid ===
Date: 2017-07-06T15:23:44+00:00
Log position: 57803841
Event size: 48
Commit: true
GTID NEXT: 3403c535-624f-11e7-9940-0800275713ee:13678
Memory usage 2.75 MB
=== Event query ===
Date: 2017-07-06T15:23:44+00:00
Log position: 57803930
Event size: 89
Database: php_mysql_replication
Execution time: 0
Query: BEGIN
Memory usage 2.76 MB
=== Event tableMap ===
Date: 2017-07-06T15:23:44+00:00
Log position: 57804001
Event size: 71
Table: test4
Database: php_mysql_replication
Table Id: 866
Columns amount: 3
Memory usage 2.75 MB
=== Event update ===
Date: 2017-07-06T15:23:44+00:00
Log position: 57804075
Event size: 74
Table: test4
Affected columns: 3
Changed rows: 1
Values: Array
(
[0] => Array
(
[before] => Array
(
[id] => 1
[data] => Hello
[data2] => World
)
[after] => Array
(
[id] => 1
[data] => World
[data2] => Hello
)
)
)
Memory usage 2.76 MB
=== Event xid ===
Date: 2017-07-06T15:23:44+00:00
Log position: 57804106
Event size: 31
Transaction ID: 662803
Memory usage 2.76 MB
=== Event gtid ===
Date: 2017-07-06T15:23:44+00:00
Log position: 57804154
Event size: 48
Commit: true
GTID NEXT: 3403c535-624f-11e7-9940-0800275713ee:13679
Memory usage 2.76 MB
=== Event query ===
Date: 2017-07-06T15:23:44+00:00
Log position: 57804243
Event size: 89
Database: php_mysql_replication
Execution time: 0
Query: BEGIN
Memory usage 2.76 MB
=== Event tableMap ===
Date: 2017-07-06T15:23:44+00:00
Log position: 57804314
Event size: 71
Table: test4
Database: php_mysql_replication
Table Id: 866
Columns amount: 3
Memory usage 2.76 MB
=== Event delete ===
Date: 2017-07-06T15:23:44+00:00
Log position: 57804368
Event size: 54
Table: test4
Affected columns: 3
Changed rows: 1
Values: Array
(
[0] => Array
(
[id] => 1
[data] => World
[data2] => Hello
)
)
Memory usage 2.77 MB
=== Event xid ===
Date: 2017-07-06T15:23:44+00:00
Log position: 57804399
Event size: 31
Transaction ID: 662804
Memory usage 2.77 MB
Tested on VM
Debian 8.7
PHP 5.6.30
Percona 5.6.35
inxiCPU(s)~4 Single core Intel Core i5-2500Ks (-SMP-) clocked at 5901 Mhz Kernel~3.16.0-4-amd64 x86_64 Up~1 day Mem~1340.3/1996.9MB HDD~41.9GB(27.7% used) Procs~122 Client~Shell inxi~2.1.28
php example/benchmark.phpStart insert data
7442 event by seconds (1000 total)
7679 event by seconds (2000 total)
7914 event by seconds (3000 total)
7904 event by seconds (4000 total)
7965 event by seconds (5000 total)
8006 event by seconds (6000 total)
8048 event by seconds (7000 total)
8038 event by seconds (8000 total)
8040 event by seconds (9000 total)
8055 event by seconds (10000 total)
8058 event by seconds (11000 total)
8071 event by seconds (12000 total)
Well first of all mysql don't give you async calls. You usually need to program this in your application (by event dispaching and adding to some queue system and if your db have many point of entry like web, backend other microservices its not always cheap to add processing to all of them. But using mysql replication protocol you can lisen on write events and process then asynchronously (best combo it's to add item to some queue system like rabbitmq, redis or kafka). Also in invalidate cache, search engine replication, real time analytics and audits.
Well first of all you need to know that a lot of events may come through, like if you update 1 000 000 records in table "bar" and you need this one insert from your table "foo" Then all must be processed by script and you need to wait for your data. This is normal and this how it's work. You can speed up using config options. Also if script crashes you need to save from time to time position form binlog (or gtid) to start from this position when you run this script again to avoid duplicates.
Like I mention in 1 point use queue system like rabbitmq, redis or kafka, they will give you ability to process data in multiple scripts.
Create an issue I will try to workon it in my free time :)
It work like any other mysql in slave mode and its giving same overhead.
To fix this best is to increase db configurations "net_read_timeout" and "net_write_timeout" to 3600. (tx Bijimon)
Set in my.conf binlog_row_image=full to fix reciving only partial updates.