Filter the parent ids with the WhereOneOrMany query helper instead of a
raw Contains so the id list is wrapped in EF.Parameter and EF Core reuses
one compiled query plan across calls, matching how the rest of the item
queries build their id filters.
Rename GetItemsWithAlternateVersions to GetItemIdsWithAlternateVersions
across the interfaces and implementations since it returns ids. Return
the hashset straight from the query instead of materializing an array
first. Rename the DtoService guard to mayHaveAlternateVersions and
invert it so the computed path is the explicit case. Assert the media
source count value in the batch skip test and add a test covering an
item that is in the returned set still resolving to the correct count.
Browsing a page of videos with the MediaSourceCount field ran one alternate
version query per item, each opening a fresh DbContext. On a large library that
turned a single page into hundreds of sequential round trips and made the Items
endpoint take tens of seconds while holding a request thread the whole time.
Detect which videos own alternate versions once per page with a single query,
mirroring the existing people batch. Videos absent from that set have a single
media source, so the per item lookups are skipped for the common case. Behavior
is unchanged: a video with no alternates already resolved to a count of one.
Adds a regression test asserting the count resolves from the batch and the per
item lookups are never called.
GetBaseItemDtos already batch fetches user data, child counts, played counts
and artists before its per item loop, but AttachPeople still ran one GetPeople
query per item. Rendering a page of items (for example a large playlist) fired
one extra query per row.
Add GetPeopleByItems to IPeopleRepository, which reads every requested item in a
single query over the people mapping table and returns full PersonInfo (role,
type and sort order) grouped by item id. GetBaseItemDtos prefetches this once
when the People field is requested and passes it into AttachPeople, which reads
from the batch instead of querying per item. The single item GetBaseItemDto path
keeps its existing per item behaviour when no batch is supplied.
Adds a DtoService test asserting people resolve from the batch and the per item
GetPeople is never called.
ImageHelper.GetNewImageSize passed the caller-supplied width/height straight
through to SkiaEncoder.EncodeImage, which allocates an SKImageInfo of exactly
that size. Nothing bounded those values against the source image, so a request
like Items/<id>/Images/Primary?width=23100&height=23100 made the server allocate
and resample a 23100x23100 surface from, say, a 600x336 poster: the reporter
measured 100% of a core for 10-15 minutes and 6-12 GB resident per request.
The item images endpoints do not require authentication, so any caller who knows
an item id can trigger this, and varying the size by one pixel misses the cache
every time.
Add DrawingUtils.ScaleDownToFit, which scales a size down uniformly until it
fits inside a bounding box and returns it unchanged if it already does, and
apply it in GetNewImageSize against the original image dimensions. Requests
that ask for more pixels than the source now get the source resolution back,
scaled to the requested aspect ratio. Downscaling paths are untouched, and
DrawingUtils.Resize keeps its existing behaviour for the transcoding callers in
EncodingJobInfo and StreamInfo, which legitimately size video output.
ResizeFill already refused to upscale; this makes width/height consistent
with fillWidth/fillHeight.
Fixes#17056.
This makes the deletion of BaseItemProviders, BaseItemImageInfos, and BaseItemMetadataFields happen in batch as a contiguous block so the lock isn't held across items, just before the bulk SaveChanges.
Using ExecuteAndCapture (and the async version) requires something to manage the captured exception, which we don't do. Errors would be silently dropped and the writes/deletes treated as if they succeeded.
If left at Default, sqlite3_enable_shared_cache is process-global, so a plugin enabling it makes these connections share a cache too.
Contention then surfaces as SQLITE_LOCKED ("database table is locked"), which the busy handler does not cover, busy_timeout is skipped and the command fails at CommandTimeout instead.
brandon