Make it possible to drop files below the table even if the table is
smaller than the window height.
Added a check to make sure upload is not triggered on invisible lists.
Apparently `normalizer_normalize` is not verifying itself whether the string needs to be converted or not. Or does it at least not very performantly.
This simple change leads to a 4% performance gain on the processing of normalizeUnicode. Since this method is called quite often (i.e. for every file path) this has actually a measurable impact. For examples searches are now 200ms faster on my machine. Still not perfect but way to go.
Part of https://github.com/owncloud/core/issues/13221
Isset is a native language construct and thus A LOT faster than using strlen()
On my local machine this leads to a 1s performance gain for about 1 million paths. Considering that this function will be called a lot for every file operation this makes a noticable difference.
`normalizePath` is a rather expensive operation and called multiple times for a single path for every file related operation.
In my development installation with about 9GB of data and 60k files this leads to a performance boost of 24% - in seconds that are 1.86s (!) - for simple searches. With more files the impact will be even more noticeable. Obviously this affects every operation that has in any regard something to do with using OC\Files\Filesystem.
Part of https://github.com/owncloud/core/issues/13221
We already use `.text()` here which automatically properly encodes the string. Thus the string will be double-encoded and look ugly. (i.e. when you search for ">" you will see "No results found for >")
Fixes itself.
The check for invalid paths is actually over-complicated and performed twice resulting in a performance penalty. Additionally, I decided to add unit-tests to that function.
Part of https://github.com/owncloud/core/issues/13221
Otherwise every time the AppStore was opened a lot of connections to the AppStore server were made which resulted in a terrible performance.
This changeset will cache the response for a sensible time so that only the first request will be somewhat slow.
Performance changes:
- Loading a category took previously more than 3 seconds on my machine. Now for every follow-up request it takes less than 200ms, resulting in a performance gain of 1950%
- Loading the category list took previously about 750ms - now it takes 154ms, a total performance gain of 395%
