This enables storing temporal files under storage subsystem. The
temporal objects (the objects that uses templfile bucket) will
always evaluate to "for deletion" after touched garbage collection;
and the deletion threshold will be 2 hours (the threshold is always
calculated from the instant when the touched garbage collector is
running).
This simplifes the mental model on how it works and simplifies testing
of the related code.
This also normalizes storage object deletion in the same way as the
rest of objects in penpot (now future deletion date on storage object
also means storage object to be deleted).
Replace general usage of virtual threads with platform threads
and use virtual threads for lightweight procs such that websocket
connections. This decision is made mainly because virtual threads
does not appear on thread dumps in an easy way so debugging issues
becomes very difficult.
The threads requirement of penpot for serving http requests
is not very big so having so this decision does not really affects
the resource usage.
This upgrade also includes complete elimination of use spec
from the backend codebase, completing the long running migration
to fully use malli for validation and decoding.
Tries to improve performance of accidental spikes/bursts of
requests to s3 service. This is not a final solution to all issues
caused by unexpected burst, is a simple improvement to the current
apprach.
The main objective is prevent deletion of objects that can leave
unreachable orphan objects which we are unable to correctly track.
Additionally, this commit includes:
1. Properly implement safe cascade deletion of all participating
tables on soft deletion in the objects-gc task;
2. Make the file thumbnail related tables also participate in the
touch/refcount mechanism applyign to the same safety checks;
3. Add helper for db query lazy iteration using PostgreSQL support
for server side cursors;
4. Fix efficiency issues on gc related task using server side
cursors instead of custom chunked iteration for processing data.
The problem resided when a large chunk of rows that has identical
value on the deleted_at column and the chunk size is small (the
default); when the custom chunked iteration only reads a first N
items and skip the rest of the set to the next run.
This has caused many objects to remain pending to be eliminated,
taking up space for longer than expected. The server side cursor
based iteration does not has this problem and iterates correctly
over all objects.
5. Fix refcount issues on font variant deletion RPC methods
Fix many issues on FS & S3 backend; removes the unused and broken
DB backend. Normalize operations on bytes and byte streams on a
separated namespace: app.util.bytes
