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Merge #356

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356: Update the README r=curquiza a=Kerollmops

This PR updates a little bit the README and more specifically the indexing times, fixes #352.

Co-authored-by: Kerollmops <clement@meilisearch.com>
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@ -32,21 +32,20 @@ cargo run --release -- --db my-database.mdb -vvv --indexing-jobs 8
### Index your documents
It can index a massive amount of documents in not much time, I already achieved to index:
- 115m songs (song and artist name) in ~1h and take 107GB on disk.
- 12m cities (name, timezone and country ID) in 15min and take 10GB on disk.
- 115m songs (song and artist name) in \~48min and take 81GiB on disk.
- 12m cities (name, timezone and country ID) in \~4min and take 6GiB on disk.
All of that on a 39$/month machine with 4cores.
These metrics are done on a MacBook Pro with the M1 processor.
You can feed the engine with your CSV (comma-seperated, yes) data like this:
```bash
printf "name,age\nhello,32\nkiki,24\n" | http POST 127.0.0.1:9700/documents content-type:text/csv
printf "id,name,age\n1,hello,32\n2,kiki,24\n" | http POST 127.0.0.1:9700/documents content-type:text/csv
```
Here ids will be automatically generated as UUID v4 if they doesn't exist in some or every documents.
Note that it also support JSON and JSON streaming, you can send them to the engine by using
the `content-type:application/json` and `content-type:application/x-ndjson` headers respectively.
Don't forget to specify the `id` of the documents. Also, note that it supports JSON and JSON
streaming: you can send them to the engine by using the `content-type:application/json` and
`content-type:application/x-ndjson` headers respectively.
### Querying the engine via the website