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

It is closer to Apache Lucene than to Elasticsearch and 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

Tantivy is typically faster than Lucene, but the results will depend on the nature of the queries in your workload.

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

Features

• Full-text search
• Configurable tokenizer. (stemming available for 17 latin languages. Third party support for Chinese (tantivy-jieba and cang-jie) and Japanese
• Fast (check out the 🐎 ✨ benchmark ✨ 🐎)
• Tiny startup time (<10ms), perfect for command line tools
• BM25 scoring (the same as lucene)
• Natural query language (michael AND jackson) OR "king of pop"
• Phrase queries search ("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 meant as a library upon which one could build a distributed search. Serializable/mergeable collector state for instance, are within the scope of tantivy.

Supported OS and compiler

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

Getting started

• 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 will walk 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
• Drop a word on on or even

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/tantivy-search/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.

A failing test

Make sure you haven't run cargo clean after the most recent cargo test or cargo build to guarantee that target/ dir exists. Use this bash script to find the most 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 to like this

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

An example

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

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