multilevel
Combines multiple caches as levels, performing read-through and write-through operations across them.
# Config fields, showing default valueslabel: ""multilevel: [] # No default (required)
Examples
The multilevel cache is useful for reducing traffic against a remote cache by routing it through a local cache. In the following example requests will only go through to the memcached server if the local memory cache is missing the key.
yamlpipeline: processors: - branch: processors: - cache: resource: leveled operator: get key: ${! json("key") } - catch: - mapping: 'root = {"err":error()}' result_map: 'root.result = this'
cache_resources: - label: leveled multilevel: [ hot, cold ]
- label: hot memory: default_ttl: 60s
- label: cold memcached: addresses: [ TODO:11211 ] default_ttl: 60s