There are a number of forks of MySQL that differ to varying degrees. We propose to create a class structure for MySQL-derived datastores to avoid duplication of code dealing with features and capabilities shared in common. It is expected that the lessons learned from this effort will be applicable to future efforts to provide differentiation for systems such as MongoDB and PostgreSQL. Change-Id: I56fe640a7f81f9a7a6906580e6484ddfbf84e677 Implements: blueprint mysql-manager-refactor
8.4 KiB
MySQL Manager Refactor
There are a number of forks of MySQL that differ to varying degrees. This blueprint proposes the creation of a class structure for MySQL-derived datastores to avoid duplication of code for features and capabilities shared in common.
It is expected that the lessons learned from this effort will be applicable to future efforts to provide differentiation for systems such as MongoDB and PostgreSQL.
https://blueprints.launchpad.net/trove/+spec/mysql-manager-refactor
Problem Description
In recent years, there have been a number forks of MySQL with varying levels of divergence from MySQL Community Edition (CE). Commonly used variants of MySQL include Percona and MariaDB. Specialized versions specific to a variant also exist, such as Galera for MariaDB or MySQL Cluster (NDB). Despite the differences, there is a great deal shared among these variants. As such, wholly separate datastore implementations of each would result in duplicated code, leading to maintainability difficulties and potential confusion for operators expecting common functionality to be treated the same across systems.
Openstack Trove would benefit from the refactoring of the MySQL manager with more consistent support for MySQL-like systems, simplified code maintenance as the variants evolve and the ability to provide differentiating features. New variants could also be introduced with relative ease.
Proposed Change
The existing MySQL datastore code is found in
trove/guestagent/datastore/mysql
. This datastore already
effectively serves as a sort of superclass, with both the Percona and
MySQL datastores pointing to the same management code. MariaDB is
supported if the underlying MariaDB instance is treated as if it were
MySQL.
The crux of this blueprint is to move the majority of the existing MySQL manager code into a new set of abstract classes, with stub subclasses for MySQL, Percona and MariaDB datastores inheriting from them.
Due to the recent reorganization of datastores into a directory structure based on maturity, there are two alternatives that we have considered.
Maturity-Agnostic
The first alternative is for base, inherited code to be agnostic of maturity. This would result in
- The creation of a
trove/guestagent/datastore/base
directory, that would contain a directory with abstract classes for each "base" system. For now, this would be only MySQL, but in the future could also include systems with a number of variants/forks such as PostgreSQL. - The majority of the current MySQL datastore code moving to
trove/guestagent/datastore/base/mysql
, but the classes made abstract. - The existing MySQL datastore classes remaining where they are, but largely replaced with stub implementations that inherit from the new base classes.
The resulting file and directory structure would change from:
trove/guestagent/datastore/mysql/manager.py
trove/guestagent/datastore/mysql/service.py
to:
trove/guestagent/datastore/base/mysql/manager.py
trove/guestagent/datastore/base/mysql/service.py
trove/guestagent/datastore/mysql/manager.py
trove/guestagent/datastore/mysql/service.py
trove/guestagent/datastore/experimental/mariadb/manager.py
trove/guestagent/datastore/experimental/mariadb/service.py
trove/guestagent/datastore/experimental/percona/manager.py
trove/guestagent/datastore/experimental/percona/service.py
The benefit of this approach is a clean separation of the abstract code common to variants of a datastore and the datastore implementations themselves. A drawback is that it fits somewhat awkwardly with our maturity-based reorganization, especially if a future base system has only experimental datastores as subclasses.
Maturity-Aware
The second alternative is for the base mysql code to reside in the current mysql datastore directory. This would result in
- The creation of new base implementations for the manager and service
modules in the
trove/guestagent/datastore/mysql
directory - The creation of explicit datastores for Percona and MariaDB with implementation classes that inherit from base MySQL.
The resulting file and directory structure would change from:
trove/guestagent/datastore/mysql/manager.py
trove/guestagent/datastore/mysql/service.py
to:
trove/guestagent/datastore/mysql/manager_base.py
trove/guestagent/datastore/mysql/service_base.py
trove/guestagent/datastore/mysql/manager.py
trove/guestagent/datastore/mysql/service.py
trove/guestagent/datastore/experimental/mariadb/manager.py
trove/guestagent/datastore/experimental/mariadb/service.py
trove/guestagent/datastore/experimental/percona/manager.py
trove/guestagent/datastore/experimental/percona/service.py
This approach has the benefit of less potential confusion about the maturity level of the base code. However, it is not as not as clean an organization: MySQL CE is treated as both a base system and an implementing datastore.
In both cases, a pass through the MySQL manager code would be done to identify methods that should be made abstract. These methods would then be brought "down" into the subclasses.
This blueprint does not attempt to create optimized MariaDB or Percona datastores, but rather to lay the groundwork for their creation.
Strategy consolidation
Currently not included in the scope of this refactor, but an important future consideration, are the associated strategies that can also have differences across variants. For example, it may make sense to bring some or all of the logic from the replication strategy into the datastore subtree to provide differentiation.
Configuration
Guest agent configuration options that point to fully qualified classnames, e.g:
datastore_registry_ext =
mysql:trove.guestagent.datastore.mysql.manager.Manager,
percona:trove.guestagent.datastore.mysql.manager.Manager
will need to point to the new class names, e.g:
datastore_registry_ext =
mysql:trove.guestagent.datastore.mysql.manager.Manager,
percona:trove.guestagent.datastore.percona.manager.Manager,
mariadb:trove.guestagent.datastore.experimental.mariadb.manager.Manager
Database
Nothing expected, but confirm.
Python API
None.
CLI (python-troveclient)
None.
Public API
None.
Public API Security
None.
Internal API
None.
Guest Agent
Behaviour should remain the same, but location of the code would change.
Alternatives
Two alternatives are discussed in the main Proposed Change section.
Implementation
Assignee(s)
Primary assignee:
Launchpad/IRC: atomic77
Email: atomic@tesora.com
Milestones
Target Milestone for completion:
liberty-1
Work Items
- Reorganize code
- Create stub implementations of Percona and MariaDB datastores that inherit from base MySQL classes.
- Review MySQL datastore implementation for initial candidates for abstract methods. Bring down and reimplement in each of the three datastore implementations.
- Write additional integration tests
Upgrade Implications
As with any change to the layout of the source tree, care must be taken by the operator to ensure that the updating of the code on the guest agent coincides with the updating of configuration files. This would only be an issue for operators that eventually want to leverage the new optimized managers for Percona, MariaDB, etc. as the location of the MySQL CE manager would remain backwards-compatible.
Dependencies
None.
Testing
Additional tests should be added to ensure that subclassing is working correctly e.g. ensure that some Percona-specific code is not running against MySQL datastores, etc.
Documentation Impact
The documentation should be updated to inform operators of the new locations of datastore implementations that could be added to the guestagent configuration file.
References
A related blueprint is experimental-datastores [1] as this impacts the organization of datastore implementations into directories based on maturity level.
[1] https://blueprints.launchpad.net/trove/+spec/experimental-datastores