loopback-cache
v1.0.0
Published
Cache solutions for Loopback
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loopback-cache
Cache solutions for Loopback.
How to use
Install
npm install loopback-cache --save
Config
To load the mixins.
# model-config.json
{
"_meta": {
...
"mixins": [
...
"loopback-cache/mixins",
...
]
},
...
}
To use the redis
backend, setup a model using the redis connector or the ioredis connector and use the mixin CacheModel
with the model. The TTL is in seconds, see http://redis.io/commands/expire.
# The model JSON
{
...
"mixins": {
"CacheModel": {
"backend": "redis",
"ttl": 3600
}
},
...
}
To use the couchbase
backend, setup a model using the couchbase3 connector and use the mixin CacheModel
with the model. The TTL is in seconds, for value larger than 30 * 24 * 60 * 60 seconds (30 days), it would be converted to absolute times (from the epoch) in seconds, see http://docs.couchbase.com/sdk-api/couchbase-node-client-2.1.2/Bucket.html#touch.
# The model JSON
{
...
"mixins": {
"CacheModel": {
"backend": "couchbase",
"ttl": 3600
}
},
...
}
Extending
Note: This module doesn't do anything on the DB or table level. For example MongoDB would require a special index that matches the field, which should be prepared before you start the application.
To add the support for a specific connector (it's a model mixin so we are talking connectors not DB directly), extend this module in a place that will be executed (for example boot
).
var loopbackCache = require('loopback-cache');
And add a new backend (you can also override backends). See https://github.com/Wiredcraft/loopback-cache/tree/master/backends for examples.
loopbackCache.backends.something = function(Model, options) {};
Now you can use it in the model JSON, same as any other backend.
{
"mixins": {
"CacheModel": {
"backend": "something",
"ttl": 3600
}
}
}
Contributing
If you want to add a new backend to the module, just drop the file in the backends
directory, and send us a PR.
Git Summary
project : loopback-cache
repo age : 11 months
active : 16 days
commits : 46
files : 18
authors :
22 CCharlieLi 47.8%
22 Makara Wang 47.8%
2 fraserxu 4.3%