A Proof-of-Concept search engine for Quassel logs based on PostgreSQL fulltext search
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README.md

Quassel RESTSearch

This is a websearch frontend for a quassel database.

It offers both a simple HTTP API for search, and a normal website for the same purpose.

Setting up search backends

pgsql-smart

First, add a new column to the backlog table:

ALTER TABLE backlog ADD COLUMN tsv tsvector;

Second, add the two new indices:

CREATE INDEX backlog_tsv_idx
  ON backlog
  USING gin(tsv);
CREATE INDEX backlog_tsv_filtered_idx
  ON backlog
  USING gin(tsv)
  WHERE (type & 23559) > 0;

Third, set up a trigger to populate the tsv column:

CREATE TRIGGER tsvectorupdate
  BEFORE INSERT OR UPDATE
  ON backlog
  FOR EACH ROW
  EXECUTE PROCEDURE tsvector_update_trigger('tsv', 'pg_catalog.english', 'message');

Fourth, populate the tsv column:

UPDATE backlog SET messageid = messageid;

Setting up the search

First, rename the file qrs_config.default.php to qrs_config.php.

Then configure the database access, backend (currently only pgsql-smart is available), and the prefix of the path.

Development

Please install the required libraries for development with npm install

Before every commit, git will automatically run npm run jsx, but you can do so yourself during testing. The project uses nativejsx

License and Credits

The error image is from xiprox/ErrorView and under Apache2.

This project uses the "Material Icons" font from Google, available under Apache2.

The rest of this project is available under LGPLv2.1 or later.