Clarify distinction between filters and compression in performance guide #3626
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This PR adds a short conceptual section to the "Optimizing performance" guide
clarifying the difference between representation-level transformations
(filters / array-to-array codecs) and byte-level compression.
The goal is to explain why compression alone cannot remove unused bit-width
in certain data sources (e.g. sensor or ADC data), and why some performance
optimizations require changes in data representation rather than only tuning
compression parameters.
Documentation-only change.