Machine Learning With Go

Caching data locally on disk

The caching we just saw is in memory. That is, the cached data exists and is accessible while your application is running, but as soon as your application exits, your data disappears. In some cases, you may want your cached data to stick around when your application restarts or exits. You may also want to back up your cache such that you don't have to start applications from scratch without a cache of relevant data.

In these scenarios, you may consider using a local, embedded cache, such as github.com/boltdb/bolt. BoltDB, as it is referred to, is a very popular project for these sorts of applications, and basically consists of a local key-value store. To initialize one of these local key-value stores, do the following: ...