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Correct README typos

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Thomas Payet 2019-01-08 17:05:27 +01:00 committed by Thomas Payet
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README.md
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@ -8,21 +8,21 @@ https://www.rust-lang.org)
A _full-text search database_ using a key-value store internally.
It uses [RocksDB](https://github.com/facebook/rocksdb) as a built-in database, to store documents and internal data. The key-value store power allow us to handle updates and queries with small memory and CPU overheads.
It uses [RocksDB](https://github.com/facebook/rocksdb) as the internal key-value store. The key-value store allows us to handle updates and queries with small memory and CPU overheads.
You can [read the deep dive](deep-dive.md) if you want more information on the engine, it describes the whole process of generating updates and handling queries.
We will be proud if you submit pull requests. It will help to help to grow this project, you can start contributing by checking [issues tagged "good-first-issue"](https://github.com/Kerollmops/MeiliDB/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22). It a good start!
We will be proud if you submit issues and pull requests. You can help to grow this project and start contributing by checking [issues tagged "good-first-issue"](https://github.com/Kerollmops/MeiliDB/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22). It is a good start!
At the moment this project is only a library. It means that it's not prividing yet any binaries. To get started, we provided some examples in the `examples/` folder that are made to work with the data located in the `misc/` folder.
The project is only a library yet. It means that there is no binary provided yet. To get started, you can check the examples wich are made to work with the data located in the `misc/` folder.
In a near future MeiliDB, we will provide a binary to execute this project as database, so you will be able to update and query it using a protocol. This will be our final goal, [see the milestones](https://github.com/Kerollmops/MeiliDB/milestones). At the end, MeiliDB will be a bunch of network protocols, and wrappers. We will publish the entire project on https://crates.io, following our usual update cycle.
MeiliDB will be a binary in a near future so you will be able to use it as a database out-of-the-box. We should be able to query it using a [to-be-defined](https://github.com/Kerollmops/MeiliDB/issues/38) protocol. This is our current goal, [see the milestones](https://github.com/Kerollmops/MeiliDB/milestones). In the end, the binary will be a bunch of network protocols and wrappers around the library - which will also be published on [crates.io](https://crates.io). Both the binary and the library will follow the same update cycle.
## Performances
_these information are outdated (October 2018) It will be updated soon_
_These information are outdated (October 2018) and will be updated soon_
We made some tests on remote machines and found that MeiliDB easily handles a dataset of near 280k products, on a $5/month server with a single vCPU and 1GB of RAM, running the same index, with a simple query:
@ -48,7 +48,7 @@ cargo run --release --example create-database -- test.mdb misc/kaggle.csv
Once the command is executed, the index should be in the `test.mdb` folder.
You are now able to run the `query-database` example, to play with MeiliDB.
You are now able to run the `query-database` example and play with MeiliDB.
```bash
cargo run --release --example query-database -- test.mdb