PEP 407 – New release cycle and introducing long-term support versions | peps.python.org (original) (raw)
Author:
Antoine Pitrou , Georg Brandl , Barry Warsaw
Status:
Deferred
Type:
Process
Created:
12-Jan-2012
Post-History:
17-Jan-2012
Table of Contents
Abstract
Finding a release cycle for an open-source project is a delicate exercise in managing mutually contradicting constraints: developer manpower, availability of release management volunteers, ease of maintenance for users and third-party packagers, quick availability of new features (and behavioural changes), availability of bug fixes without pulling in new features or behavioural changes.
The current release cycle errs on the conservative side. It is adequate for people who value stability over reactivity. This PEP is an attempt to keep the stability that has become a Python trademark, while offering a more fluid release of features, by introducing the notion of long-term support versions.
Scope
This PEP doesn’t try to change the maintenance period or release scheme for the 2.7 branch. Only 3.x versions are considered.
Proposal
Under the proposed scheme, there would be two kinds of feature versions (sometimes dubbed “minor versions”, for example 3.2 or 3.3): normal feature versions and long-term support (LTS) versions.
Normal feature versions would get either zero or at most one bugfix release; the latter only if needed to fix critical issues. Security fix handling for these branches needs to be decided.
LTS versions would get regular bugfix releases until the next LTS version is out. They then would go into security fixes mode, up to a termination date at the release manager’s discretion.
Periodicity
A new feature version would be released every X months. We tentatively propose X = 6 months.
LTS versions would be one out of N feature versions. We tentatively propose N = 4.
With these figures, a new LTS version would be out every 24 months, and remain supported until the next LTS version 24 months later. This is mildly similar to today’s 18 months bugfix cycle for every feature version.
Pre-release versions
More frequent feature releases imply a smaller number of disruptive changes per release. Therefore, the number of pre-release builds (alphas and betas) can be brought down considerably. Two alpha builds and a single beta build would probably be enough in the regular case. The number of release candidates depends, as usual, on the number of last-minute fixes before final release.
Effects
Effect on development cycle
More feature releases might mean more stress on the development and release management teams. This is quantitatively alleviated by the smaller number of pre-release versions; and qualitatively by the lesser amount of disruptive changes (meaning less potential for breakage). The shorter feature freeze period (after the first beta build until the final release) is easier to accept. The rush for adding features just before feature freeze should also be much smaller.
Effect on bugfix cycle
The effect on fixing bugs should be minimal with the proposed figures. The same number of branches would be simultaneously open for bugfix maintenance (two until 2.x is terminated, then one).
Effect on workflow
The workflow for new features would be the same: developers would only commit them on the default branch.
The workflow for bug fixes would be slightly updated: developers would commit bug fixes to the current LTS branch (for example 3.3) and then merge them into default.
If some critical fixes are needed to a non-LTS version, they can be grafted from the current LTS branch to the non-LTS branch, just like fixes are ported from 3.x to 2.7 today.
Discussion
These are open issues that should be worked out during discussion:
- Decide on X (months between feature releases) and N (feature releases per LTS release) as defined above.
- For given values of X and N, is the no-bugfix-releases policy for non-LTS versions feasible?
- What is the policy for security fixes?
- Restrict new syntax and similar changes (i.e. everything that was prohibited by PEP 3003) to LTS versions?
- What is the effect on packagers such as Linux distributions?
- How will release version numbers or other identifying and marketing material make it clear to users which versions are normal feature releases and which are LTS releases? How do we manage user expectations?
- Does the faster release cycle mean we could some day reach 3.10 and above? Some people expressed a tacit expectation that version numbers always fit in one decimal digit.
A community poll or survey to collect opinions from the greater Python community would be valuable before making a final decision.
Copyright
This document has been placed in the public domain.