lindera-sqlite

Crates.iolindera-sqlite
lib.rslindera-sqlite
version
sourcesrc
created_at2024-12-06 06:38:19.644845
updated_at2024-12-06 06:38:19.644845
descriptionLindera tokenizer for SQLite FTS5 extention
homepagehttps://github.com/lindera/lindera-sqlite
repositoryhttps://github.com/lindera/lindera-sqlite
max_upload_size
id1473966
Cargo.toml error:TOML parse error at line 17, column 1 | 17 | autolib = false | ^^^^^^^ unknown field `autolib`, expected one of `name`, `version`, `edition`, `authors`, `description`, `readme`, `license`, `repository`, `homepage`, `documentation`, `build`, `resolver`, `links`, `default-run`, `default_dash_run`, `rust-version`, `rust_dash_version`, `rust_version`, `license-file`, `license_dash_file`, `license_file`, `licenseFile`, `license_capital_file`, `forced-target`, `forced_dash_target`, `autobins`, `autotests`, `autoexamples`, `autobenches`, `publish`, `metadata`, `keywords`, `categories`, `exclude`, `include`
size0
Minoru Osuka (mosuka)

documentation

https://docs.rs/lindera-sqlite

README

Overview

lindera-sqlite is a C ABI library which exposes a FTS5 tokenizer function.

When used as a custom FTS5 tokenizer this enables application to support Chinese, Japanese and Korean in full-text search.

Build extension

% cargo build --features=ipadic,ko-dic,cc-cedict,compress,extension

Set enviromment variable for Lindera configuration

% export LINDERA_CONFIG_PATH=./resources/lindera.yml

Then start SQLite

% sqlite3 example.db

Load extension

sqlite> .load ./target/debug/liblindera_sqlite lindera_fts5_tokenizer_init

Create table using FTS5 with Lindera tokenizer

sqlite> CREATE VIRTUAL TABLE example USING fts5(content, tokenize='lindera_tokenizer');

Insert data

sqlite> INSERT INTO example(content) VALUES ("Linderaは形態素解析エンジンです。ユーザー辞書も利用可能です。");

Search data

sqlite> SELECT * FROM example WHERE content MATCH "Lindera" ORDER BY bm25(example) LIMIT 10;
Commit count: 30

cargo fmt