# compile c++ code
cd autocomplete
make COPT="-DNMAX=10"
chmod 755 lib-face
./lib-face -f rsc/keywords.tsv -p 6767
# then the script should run on localhost:6767The request format is http://localhost:6767/suggest/?n={LIMIT}&q={QUERY}.
The response format is {"l": ["Suggestion 1", "Suggestion 2", ...]}, exactly the same as the google scholar's suggestion API.
A very fast auto-complete server; to be used for as-you-type search suggestions.
I have written a blog post comparing various methods for implementing auto-complete for user queries.
lib-face implements Approach-4 as mentioned in the blog post. The total cost of querying (TCQ) a corpus of 'n' phrases for not more than 'k' frequently occurring phrases that share a prefix with a supplied phrase is O(k log n). This is close the best that can be done for such a requirement. lib-face also provides an option to switch to using another (faster) algorithm that results in a per-query run-time of O(k log k).
You can help by testing the new BenderRMQ data structure that has an O(n) space overhead and build cost and O(1) query cost. To read up on RMQ (Range Maximum Query), see here and here
lib-face is written using C++ and uses libuv and the joyent http-parser to serve requests.
Visit the Quick Start Guide to get started now!
See the Benchmarks!
Read the paper!