1.8 KiB
MeiliDB
A search engine based on the blog posts serie of the great Algolia company.
If you want to be involved in the project you can read the deep dive.
This is a library, this means that binary are not part of this repository
but since I'm still nice I have made some examples for you in the examples/ folder.
Performances
We made some tests on remote machines and found that we can handle, on a server that cost 5$/month with 1vCPU and 1GB of ram and on the same index and with a simple query:
- near 190 users with an average response time of 90ms
- 150 users with an average response time of 70ms
- 100 users with an average response time of 45ms
Network is mesured, servers are located in amsterdam and tests are made between two different datacenters.
Usage and examples
MeiliDB work with an index like most of the search engines. So to test the library you can create one by indexing a simple csv file.
cargo build --release --example csv-indexer
time ./target/release/examples/csv-indexer --stop-words misc/en.stopwords.txt misc/kaggle.csv
The en.stopwords.txt file here is a simple file that contains one stop word by line (e.g. or, and).
Once the command finished indexing you will have 3 files that compose the index:
- The
xxx.maprepresent the fst map. - The
xxx.idxrepresent the doc indexes matching the words in the map. - The
xxx.sstis a file that contains all the fields and the values asociated with it, it is passed to the internal RocksDB.
Now you can easily run the serve-console or serve-http examples with the name of the dump. (e.g. relaxed-colden).
cargo build --release --example serve-console
./target/release/examples/serve-console relaxed-colden