Skip to content

[automated] docs: fix incorrect claim about compressed layer deduplication in containerd image store #24496

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
dvdksn wants to merge 2 commits into
base: main
Choose a base branch
from
+0 −8
Open

[automated] docs: fix incorrect claim about compressed layer deduplication in containerd image store #24496

Changes from 1 commit
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
c1b7b28
docs: fix incorrect claim about compressed layer deduplication in con…
Mar 24, 2026
1c906d9
docs: remove contradictory paragraph from containerd disk space section
dvdksn Mar 25, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 6 additions & 6 deletions content/manuals/engine/storage/containerd.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -55,12 +55,12 @@ each layer occupies more space. The compressed format enables faster pulls and
pushes, but requires additional disk capacity.

This difference is particularly noticeable with multiple images sharing the
same base layers. With legacy storage drivers, shared base layers were stored
once locally, and reused images that depended on them. With containerd, each
image stores its own compressed version of shared layers, even though the
uncompressed layers are still de-duplicated through snapshotters. The
compressed storage adds overhead proportional to the number of images using
those layers.
same base layers. Like legacy storage drivers, the containerd image store
deduplicates shared layers: if two images reference the same layer, that
layer's compressed blob is stored once in the content store, identified by
its digest. The overhead compared to legacy drivers is not duplication of
shared layers, but the dual storage of each unique layer: one compressed copy
in the content store and one unpacked copy in the snapshotter.

If disk space is constrained, consider the following:

Expand Down
Loading