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Merge #356
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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README.md
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README.md
@ -32,21 +32,20 @@ cargo run --release -- --db my-database.mdb -vvv --indexing-jobs 8
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### Index your documents
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### Index your documents
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It can index a massive amount of documents in not much time, I already achieved to index:
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It can index a massive amount of documents in not much time, I already achieved to index:
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- 115m songs (song and artist name) in ~1h and take 107GB on disk.
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- 115m songs (song and artist name) in \~48min and take 81GiB on disk.
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- 12m cities (name, timezone and country ID) in 15min and take 10GB on disk.
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- 12m cities (name, timezone and country ID) in \~4min and take 6GiB on disk.
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All of that on a 39$/month machine with 4cores.
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These metrics are done on a MacBook Pro with the M1 processor.
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You can feed the engine with your CSV (comma-seperated, yes) data like this:
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You can feed the engine with your CSV (comma-seperated, yes) data like this:
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```bash
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```bash
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printf "name,age\nhello,32\nkiki,24\n" | http POST 127.0.0.1:9700/documents content-type:text/csv
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printf "id,name,age\n1,hello,32\n2,kiki,24\n" | http POST 127.0.0.1:9700/documents content-type:text/csv
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```
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```
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Here ids will be automatically generated as UUID v4 if they doesn't exist in some or every documents.
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Don't forget to specify the `id` of the documents. Also, note that it supports JSON and JSON
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streaming: you can send them to the engine by using the `content-type:application/json` and
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Note that it also support JSON and JSON streaming, you can send them to the engine by using
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`content-type:application/x-ndjson` headers respectively.
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the `content-type:application/json` and `content-type:application/x-ndjson` headers respectively.
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### Querying the engine via the website
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### Querying the engine via the website
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