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Currently tools like Drizzle ORM, Kysely don't support SQLite FTS index creation through table definitions. Scout-sqlite aims to bridge that gap by helping create and manage FTS index creation by generating and applying the SQL for you.
Ensure your turso databse URL and token are configured. See TS quick start guide for how to generate a new token.
TURSO_DATABASE_URL=
TURSO_AUTH_TOKEN=
We can apply to a local database file by specifiying a local path instead of remote URL and skip TURSO_AUTH_TOKEN
.
TURSO_DATABASE_URL=file:./<path to file>
Install the scout-sqlite
cli using your favourite package manager
package manager | command |
---|---|
npm | npm install scout-sqlite -D |
pnpm | pnpm add scout-sqlite -D |
yarn | yarn add scout-sqlite -D |
bun | bun install scout-sqlite |
Initialize an empty configuration file with npx scout init
. This creates a sqlitefts5rc.json
file in the current working directory.
[
{
"table": "YOUR TABLE HERE",
"idColumn": "YOUR TABLE HERE",
"columns": [
"YOUR",
"COLUMNS",
"HERE"
]
}
]
Replace place holder text with your own values then run npx scout apply
to create the FTS5 indexes and management triggers.
- If you're using a local file then use
-l
or--local
flag to bypassTURSO_AUTH_TOKEN
requirement.
- Handle updates of existing indexes and triggers