Hi, PGroonga 1.1.9 has been released!
http://groonga.org/en/blog/2016/11/30/pgroonga-1.1.9.html ### About PGroonga https://pgroonga.github.io/ PGroonga is a PostgreSQL extension that makes PostgreSQL fast full text search platform for all languages! It's released under PostgreSQL license. There are some PostgreSQL extensions that improves full text search feature of PostgreSQL such as pg_trgm(*1). (*1) https://www.postgresql.org/docs/current/static/pgtrgm.html pg_trgm doesn't support languages that use non-alphanumerics characters such as Japanese and Chinese. PGroonga supports all languages, provides rich full text search related features and is very fast. Because PGroonga uses Groonga(*2) that is a full-fledged full text search engine as backend. (*2) http://groonga.org/ See the following benchmark results for performance: * Benchmark result for PGroonga, textsearch and pg_trgm with English Wikipedia https://pgroonga.github.io/reference/pgroonga-versus-textsearch-and-pg-trgm.html * Benchmark result for PGroonga and pg_bigm with Japanese Wikipedia https://pgroonga.github.io/reference/pgroonga-versus-pg-bigm.html PGroonga also supports JSON search. You can use each value for condition. You can also perform full text search against all texts in JSON. No other extension such as JsQuery(*3) doesn't provide full text search feature against JSON. (*3) https://github.com/postgrespro/jsquery ### Changes PGroonga 1.1.9 supports WAL based streaming replication. It uses generic WAL API added since PostgreSQL 9.6. See the following URL for how to use the replication feature: https://pgroonga.github.io/reference/replication.html See the following release announce URL for other changes: http://groonga.org/en/blog/2016/11/30/pgroonga-1.1.9.html ### Announce There is PGroonga session in PGConf.ASIA 2016 2 DAY: http://www.pgconf.asia/EN/day-2/#A4 In this session, not only difference between PGroonga and other modules but also how to implement replication by generic WAL API added since PostgreSQL 9.6 are described. The slide for the session has been published: https://slide.rabbit-shocker.org/authors/kou/pgconf-asia-2016/ If you're interested in PGroonga, please go to the session. ### Usage You can use PGroonga without full text search knowledge. You just create an index and puts a condition into WHERE: CREATE INDEX index_name ON table USING pgroonga (column); SELECT * FROM table WHERE column @@ 'PostgreSQL'; You can also use LIKE to use PGroonga. PGroonga provides a feature that performs LIKE with index. LIKE with PGroonga index is faster than LIKE without index. It means that you can improve performance without changing your application that uses the following SQL: SELECT * FROM table WHERE column LIKE '%PostgreSQL%'; Are you interested in PGroonga? Please install(*4) and try tutorial(*5). You can know all PGroonga features. (*4) https://pgroonga.github.io/install/ (*5) https://pgroonga.github.io/tutorial/ You can install PGroonga easily. Because PGroonga provides packages for major platforms. There are binaries for Windows. Thanks, -- kou -- Sent via pgsql-announce mailing list (pgsql-announce@postgresql.org) To make changes to your subscription: http://www.postgresql.org/mailpref/pgsql-announce