Tantivy is a full text search engine library written in Rust.

It is closer to Apache Lucene than to Elasticsearch or Apache Solr in the sense it is not an off-the-shelf search engine server, but rather a crate that can be used to build such a search engine.

Tantivy is, in fact, strongly inspired by Lucene's design.

Benchmark

The following benchmark break downs performance for different type of queries / collection.

Your mileage WILL vary depending on the nature of queries and their load.

Features

Full-text search
Configurable tokenizer (stemming available for 17 Latin languages with third party support for Chinese (tantivy-jieba and cang-jie), Japanese (lindera and tantivy-tokenizer-tiny-segmenter) and Korean (lindera + lindera-ko-dic-builder)
Fast (check out the 🐎 ✨ benchmark ✨ 🐎)
Tiny startup time (<10ms), perfect for command line tools
BM25 scoring (the same as Lucene)
Natural query language (e.g. (michael AND jackson) OR "king of pop")
Phrase queries search (e.g. "michael jackson")
Incremental indexing
Multithreaded indexing (indexing English Wikipedia takes < 3 minutes on my desktop)
Mmap directory
SIMD integer compression when the platform/CPU includes the SSE2 instruction set
Single valued and multivalued u64, i64, and f64 fast fields (equivalent of doc values in Lucene)
&[u8] fast fields
Text, i64, u64, f64, dates, and hierarchical facet fields
LZ4 compressed document store
Range queries
Faceted search
Configurable indexing (optional term frequency and position indexing)
Cheesy logo with a horse

Non-features

Distributed search is out of the scope of Tantivy. That being said, Tantivy is a library upon which one could build a distributed search. Serializable/mergeable collector state for instance, are within the scope of Tantivy.

Getting started

Tantivy works on stable Rust (>= 1.27) and supports Linux, MacOS, and Windows.

Tantivy's simple search example
tantivy-cli and its tutorial - tantivy-cli is an actual command line interface that makes it easy for you to create a search engine, index documents, and search via the CLI or a small server with a REST API. It walks you through getting a wikipedia search engine up and running in a few minutes.
Reference doc for the last released version

How can I support this project?

There are many ways to support this project.

Use Tantivy and tell us about your experience on Gitter or by email (paul.masurel@gmail.com)
Report bugs
Write a blog post
Help with documentation by asking questions or submitting PRs
Contribute code (you can join our Gitter)
Talk about Tantivy around you

Contributing code

We use the GitHub Pull Request workflow: reference a GitHub ticket and/or include a comprehensive commit message when opening a PR.

Clone and build locally

Tantivy compiles on stable Rust but requires Rust >= 1.27. To check out and run tests, you can simply run:

    git clone https://github.com/quickwit-inc/tantivy.git
    cd tantivy
    cargo build

Run tests

Some tests will not run with just cargo test because of fail-rs. To run the tests exhaustively, run ./run-tests.sh.

Debug

You might find it useful to step through the programme with a debugger.

Make sure you haven't run cargo clean after the most recent cargo test or cargo build to guarantee that the target/ directory exists. Use this bash script to find the name of the most recent debug build of Tantivy and run it under rust-gdb:

find target/debug/ -maxdepth 1 -executable -type f -name "tantivy*" -printf '%TY-%Tm-%Td %TT %p\n' | sort -r | cut -d " " -f 3 | xargs -I RECENT_DBG_TANTIVY rust-gdb RECENT_DBG_TANTIVY

Now that you are in rust-gdb, you can set breakpoints on lines and methods that match your source code and run the debug executable with flags that you normally pass to cargo test like this:

$gdb run --test-threads 1 --test $NAME_OF_TEST

An example

By default, rustc compiles everything in the examples/ directory in debug mode. This makes it easy for you to make examples to reproduce bugs:

rust-gdb target/debug/examples/$EXAMPLE_NAME
$ gdb run

palfrey/tantivy