jugglingdb-redis-hq
v0.1.4
Published
Redis adapter for jugglingdb
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JugglingDB-Redis
Redis adapter for jugglingdb.
Usage
To use it you need [email protected]
.
- Setup dependencies in
package.json
:
{
...
"dependencies": {
"jugglingdb": "0.2.x",
"jugglingdb-redis": "latest"
},
...
}
- Use:
var Schema = require('jugglingbd').Schema;
var schema = new Schema('redis');
Running tests
Make sure you have redis server running on default port, then run
npm test
Be careful, it could delete your data in database number 0
Additional Features
Backyard
Enabling this feature allows to keep only "hot" data in redis and unload rarely used data to backyard.
Backyard is an additional storage that used by redis adapter to mirror all data. Data in redis has some expiration period when mirrored in backyard database. When expired data requested from redis (actual record is not present), then record loaded from backyard and restored in redis. Each time record requested expiration timeout renewed.
Configuration
Include backyard
section using the same format as normal schema
settings definition in config/database.js
:
exports.development = {
main: {
driver: 'redis-hq',
database: 1,
log: true,
backyard: {
driver: 'mysql',
username: 'root',
database: 'myapp'
log: true,
}
}
};
Use expire
setting for model in db/schema.js:
db.define('Comment', function(m) {
m.property('text', String);
m.set('expire', 30); // expire record in 30 seconds
});
This setting may be also set to -1 to disable expiration.
Usage
Use your models as usual. All data where expire
is not set to -1 will be mirrored
automatically and restored in redis db when requested after expiration.
Please note that you will get an additional error messages from backyard database. Expiration only being set when both redis and backyard db responded with success to prevent data loss.
Hint 1. If you are using compoundjs
and some sql adapter as backyard for redis,
then app.enable('autoupdate');
setting is useful to not care about schema (at
least in development env).
Hint 2. Use log: true
to debug sql queries.
Hint 3. Make sure your schema is sql-friendly. The most often bottleneck is indexes length, specify length
attribute for each indexed String property.