Update - it is both reasonable and possible to support the caching strategy per environment.

This means that environments used for experimenting can be set to not use caching (expires immediately), and stable environments can be given a longer time (or infinite for the "reboot" strategy).

- henrik

On 2014-21-04 23:29, Henrik Lindberg wrote:
Hi,
We have been looking into environment caching and have some thoughts and
ideas about how this can be done. Love to get your input on those ideas,
and your thoughts about their usefulness.

There is a google document that has the long story - it is open for
commenting. It is not required reading as the essence is outlined here.
The doc is here:
https://docs.google.com/a/puppetlabs.com/document/d/1G-4Z6vi6Tv5xZtzVh7aT2zNWbOxJ3BGfJu31pAHxS7g/edit?disco=AAAAAGtMYOI#heading=h.rpgaxghcfqol


The current state of caching environments
---
A legacy environment caches the result or parsing manifests and loading
functions / types, and reacts to changed files. It does this by
recording the mtime of each file as it is parsed / read. Later, if the
same file would be parsed again, it will use the already cached produced
result. If the file is stale, the entire cache is cleared and it starts
from scratch.

It does not however react to added files. It also does not recognize
changes in files evaluated as a consequence of evaluating ruby logic
(i.e. if a function, type, etc. required something, that is not recorded).

The new directory based environments does not support caching. (And now
we want to address this).

The problem with caching
---
The problem with caching is that it can be quite costly to compute and
we found that different scenarios benefits from different caching
strategies.

In an environment where the ratio of modules/manifests present in the
environment vs. the number actually used per individual node is low
checking caching can be slower than starting with a clean slate every time.

Proposed Strategies
---
We think there is a core set of strategies that a user should be able to
select. These should cover the typical usage scenarios.

* NONE - no caching, each catalog product starts with a clean slate.
   This is the current state of directory based environments, and it
   could also be made to apply to legacy environments. This is good in
   a very dynamic environment / development or low "signal/noise" ratio.

* REBOOT - (the opposite of NONE) - cache everything, never check for
   changes. A reboot of the  master is required for it to react to
   changes.
   This is good for a  static configuration, and where the organization
   always takes down the master for other reasons when there are changes.
   This strategy avoids scanning, and is thus a speed improvement for
   configurations with a large set of files.

* TIMEOUT - cache all environments with a 'time to live' (TTL). When a
   request is made for an environment where the TTL has expired it
   starts that environment with a clean slate.
   This is a compromise - it will pick up all changes (even additions),
   but it will take one "TTL" before they are picked up (say 5 minutes;
   configurable).

These three schemes are believed to cover the different usage scenarios.
They all have the benefit that they do not require watching any files
(thereby drastically reducing the number of stat calls).

Strategy that is probably not needed:

* ENVDIRCHANGE - watches the directory that represents
   the environment. Reloads if the directory itself is stale (using
   filetimeout setting to cap the number of times it checks). Thus, it
   will reaact to changes to the environment root only (which typically
   does not happen when changing content in the environment, but is
   triggered if the environments configuration file is added or removed).
   To pick up any other changes, the user would need to touch the
   directory.

Strategies we think are not needed:

* SCAN - like today where every file is watched.
* CONFCHANGE - watch/scan all configuration files.

Feedback ?
---
Here are a couple of questions to start with...

* What do you think of the proposed strategies?
* If you like the scanning strategy, what use cases do you see it would
benefit that the proposed strategies does not handle?
* Any other ideas?
* Any use cases you feel strongly about? Scenarios we need to consider...

Regards
- henrik



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