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Pure Python Implementation of MySQL replication protocol build on top of PyMYSQL

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python-mysql-replication

Pure Python Implementation of MySQL replication protocol build on top of PyMYSQL. This allows you to receive event like insert, update, delete with their datas and raw SQL queries.

Use cases

  • MySQL to NoSQL database replication
  • MySQL to search engine replication
  • Invalidate cache when something change in database
  • Audit
  • Real time analytics

Documentation

A work in progress documentation is available here: https://python-mysql-replication.readthedocs.org/en/latest/

Instruction about building documentation is available here: https://python-mysql-replication.readthedocs.org/en/latest/developement.html

Installation

pip install mysql-replication

Mailing List

You can get support and discuss about new features on: https://groups.google.com/d/forum/python-mysql-replication

Project status

The project is test with:

  • MySQL 5.5, 5.6 and 5.7 (v0.1 ~ v0.45)
  • MySQL 8.0.14 (v1.0 ~)
  • Python 3.7, 3.11
  • PyPy 3.7, 3.9 (really faster than the standard Python interpreter)

MySQL version 8.0.14 and later Set global variable binlog_row_metadata='FULL' and binlog_row_image='FULL'

The project is used in production for critical stuff in some medium internet corporations. But all use case as not been perfectly test in the real world.

Limitations

https://python-mysql-replication.readthedocs.org/en/latest/limitations.html

Featured

Data Pipelines Pocket Reference (by James Densmore, O'Reilly): Introduced and exemplified in Chapter 4: Data Ingestion: Extracting Data.

Streaming Changes in a Database with Amazon Kinesis (by Emmanuel Espina, Amazon Web Services)

Near Zero Downtime Migration from MySQL to DynamoDB (by YongSeong Lee, Amazon Web Services)

Enable change data capture on Amazon RDS for MySQL applications that are using XA transactions (by Baruch Assif, Amazon Web Services)

Projects using this library

MySQL server settings

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

Examples

All examples are available in the examples directory

This example will dump all replication events to the console:

from pymysqlreplication import BinLogStreamReader

mysql_settings = {'host': '127.0.0.1', 'port': 3306, 'user': 'root', 'passwd': ''}

stream = BinLogStreamReader(connection_settings = mysql_settings, server_id=100)

for binlogevent in stream:
    binlogevent.dump()

stream.close()

For this SQL sessions:

CREATE DATABASE test;
use test;
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:

=== RotateEvent ===
Date: 1970-01-01T01:00:00
Event size: 24
Read bytes: 0

=== FormatDescriptionEvent ===
Date: 2012-10-07T15:03:06
Event size: 84
Read bytes: 0

=== QueryEvent ===
Date: 2012-10-07T15:03:16
Event size: 64
Read bytes: 64
Schema: test
Execution time: 0
Query: CREATE DATABASE test

=== QueryEvent ===
Date: 2012-10-07T15:03:16
Event size: 151
Read bytes: 151
Schema: test
Execution time: 0
Query: CREATE TABLE test4 (id int NOT NULL AUTO_INCREMENT, data VARCHAR(255), data2 VARCHAR(255), PRIMARY KEY(id))

=== QueryEvent ===
Date: 2012-10-07T15:03:16
Event size: 49
Read bytes: 49
Schema: test
Execution time: 0
Query: BEGIN

=== TableMapEvent ===
Date: 2012-10-07T15:03:16
Event size: 31
Read bytes: 30
Table id: 781
Schema: test
Table: test4
Columns: 3

=== WriteRowsEvent ===
Date: 2012-10-07T15:03:16
Event size: 27
Read bytes: 10
Table: test.test4
Affected columns: 3
Changed rows: 1
Values:
--
* data : Hello
* id : 1
* data2 : World

=== XidEvent ===
Date: 2012-10-07T15:03:16
Event size: 8
Read bytes: 8
Transaction ID: 14097

=== QueryEvent ===
Date: 2012-10-07T15:03:17
Event size: 49
Read bytes: 49
Schema: test
Execution time: 0
Query: BEGIN

=== TableMapEvent ===
Date: 2012-10-07T15:03:17
Event size: 31
Read bytes: 30
Table id: 781
Schema: test
Table: test4
Columns: 3

=== UpdateRowsEvent ===
Date: 2012-10-07T15:03:17
Event size: 45
Read bytes: 11
Table: test.test4
Affected columns: 3
Changed rows: 1
Affected columns: 3
Values:
--
* data : Hello => World
* id : 1 => 1
* data2 : World => Hello

=== XidEvent ===
Date: 2012-10-07T15:03:17
Event size: 8
Read bytes: 8
Transaction ID: 14098

=== QueryEvent ===
Date: 2012-10-07T15:03:17
Event size: 49
Read bytes: 49
Schema: test
Execution time: 1
Query: BEGIN

=== TableMapEvent ===
Date: 2012-10-07T15:03:17
Event size: 31
Read bytes: 30
Table id: 781
Schema: test
Table: test4
Columns: 3

=== DeleteRowsEvent ===
Date: 2012-10-07T15:03:17
Event size: 27
Read bytes: 10
Table: test.test4
Affected columns: 3
Changed rows: 1
Values:
--
* data : World
* id : 1
* data2 : Hello

=== XidEvent ===
Date: 2012-10-07T15:03:17
Event size: 8
Read bytes: 8
Transaction ID: 14099

Tests

When it's possible we have a unit test.

More information is available here: https://python-mysql-replication.readthedocs.org/en/latest/developement.html

Changelog

https://github.com/noplay/python-mysql-replication/blob/main/CHANGELOG

Similar projects

Special thanks

Contributors

Major contributor:

Maintainer:

Other contributors:

Thanks to GetResponse for their support

Licence

Copyright 2012-2023 Julien Duponchelle

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

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Pure Python Implementation of MySQL replication protocol build on top of PyMYSQL

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