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IMPORTANT: No additional bug fixes or documentation updates will be released for this version. For the latest information, see the current release documentation.
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Elastic Docs ›Filebeat Reference [8.14] ›Configure Filebeat ›Filter and enhance data with processors

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This functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.

The cache processor enriches events with information from a previously cached events.

processors:
  - cache:
      backend:
        memory:
          id: cache_id
      put:
        key_field: join_key_field
        value_field: source_field
processors:
  - cache:
      backend:
        memory:
          id: cache_id
      get:
        key_field: join_key_field
        target_field: destination_field
processors:
  - cache:
      backend:
        memory:
          id: cache_id
      delete:
        key_field: join_key_field

The fields added to the target field will depend on the provider.

It has the following settings:

One of backend.memory.id or backend.file.id must be provided.

backend.capacity
The number of elements that can be stored in the cache. put operations that would cause the capacity to be exceeded will result in evictions of the oldest elements. Values at or below zero indicate no limit. The capacity should not be lower than the number of elements that are expected to be referenced when processing the input as evicted elements are lost. The default is 0, no limit.
backend.memory.id
The ID of a memory-based cache. Use the same ID across instance to reference the same cache.
backend.file.id
The ID of a file-based cache. Use the same ID across instance to reference the same cache.
backend.file.write_interval
The interval between periodic cache writes to the backing file. Valid time units are h, m, s, ms, us/µs and ns. Periodic writes are only made if backend.file.write_interval is greater than zero. The contents are always written out to the backing file when the processor is closed. Default is zero, no periodic writes.

One of put, get or delete must be provided.

put.key_field
Name of the field containing the key to put into the cache. Required if put is present.
put.value_field
Name of the field containing the value to put into the cache. Required if put is present.
put.ttl
The TTL to associate with the cached key/value. Valid time units are h, m, s, ms, us/µs and ns. Required if put is present.
get.key_field
Name of the field containing the key to get. Required if get is present.
get.target_field
Name of the field to which the cached value will be written. Required if get is present.
delete.key_field
Name of the field containing the key to delete. Required if delete is present.
ignore_missing
(Optional) When set to false, events that don’t contain any of the fields in match_keys will be discarded and an error will be generated. By default, this condition is ignored.
overwrite_keys
(Optional) By default, if a target field already exists, it will not be overwritten and an error will be logged. If overwrite_keys is set to true, this condition will be ignored.

The cache processor can be used to perform joins within the Beat between documents within an event stream.

processors:
  - if:
      contains:
        log.file.path: fdrv2/aidmaster
    then:
      - cache:
          backend:
            memory:
              id: aidmaster
            capacity: 10000
          put:
            ttl: 168h
            key_field: crowdstrike.aid
            value_field: crowdstrike.metadata
    else:
      - cache:
          backend:
            memory:
              id: aidmaster
          get:
            key_field: crowdstrike.aid
            target_field: crowdstrike.metadata

This would enrich an event events with log.file.path not equal to "fdrv2/aidmaster" with the crowdstrike.metadata fields from events with log.file.path equal to that value where the crowdstrike.aid field matches between the source and destination documents. The capacity allows up to 10,000 metadata object to be cached between put and get operations.

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