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search-engine

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MeiliSearch
mzperix
mzperix commented Feb 9, 2021

What happens

When creating snapshot, meilisearch opens a temp dir which may be on a different disk than snapshot_path and even if enough disk space is available for the snapshot path, it fails with No space left on device.

Expected behaviour

Should create temp dir inside snapshot_path.

https://github.com/meilisearch/MeiliSearch/blob/f83caa6c40a01c931ee4ccde4fb1113067fda488/meilis

RandomClaim
RandomClaim commented Oct 15, 2020

Currently when clicking an image from search resutls the pop-up includes the image at a fixed size.
I propose to either increase that scaling to a somewhat higher fixed value or factor in the original image size so that very small pictures do not become pixelated.

Currently the preview is too small in my opinion which forces me to visit the website.

vespa
kkraune
kkraune commented Mar 10, 2021

In a given content cluster, using the schema, let the user easily create a selection string.

Then, add ability to run a visit using this, outputting how far into document space it is and how many documents are returned so far. This simplifies the process to develop a selection string and test it before deploying it - i.e. how many docs / fraction is kept when running the visit with the selectio

mdaniel
mdaniel commented Jan 20, 2019

What happened

Accidentally omitting document content returns 500 Internal Server Error with a body of {"message":"Internal error","uri":"/new_index"}

What was expected

Emitting any kind of helpful message would be helpful. Also, in my experience, when the client receives a 500 response, there is usually something informative on the server-side. But in this case, the server e

haystack
mre
mre commented Oct 13, 2020

People are interested in a size-comparison between

  • tinysearch
  • lunr.js
  • elasticlunr
  • flexsearch
  • fuse.js

If anyone wants to do a comparison, post a comment here.
Some ideas:

  • Use an open dataset, e.g. Shakespeare texts https://shakespeare.folger.edu/download/
  • Create a size histogram of the results that we can include into the README.
  • Add the code to the repository under a `b

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