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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 ### Index your documents
It can index a massive amount of documents in not much time, I already achieved to index: 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. - 115m songs (song and artist name) in \~48min and take 81GiB on disk.
- 12m cities (name, timezone and country ID) in 15min and take 10GB 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: You can feed the engine with your CSV (comma-seperated, yes) data like this:
```bash ```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. 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
Note that it also support JSON and JSON streaming, you can send them to the engine by using `content-type:application/x-ndjson` headers respectively.
the `content-type:application/json` and `content-type:application/x-ndjson` headers respectively.
### Querying the engine via the website ### Querying the engine via the website