= multilevel
:type: cache
:status: stable



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// © 2024 Redpanda Data Inc.


component_type_dropdown::[]


Combines multiple caches as levels, performing read-through and write-through operations across them.

```yml
# Config fields, showing default values
label: ""
multilevel: [] # No default (required)
```

== Examples

[tabs]
======
Hot and cold cache::
+
--

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.

```yaml
pipeline:
  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
```

--
======