Fingerprint processor

Computes a hash of the document’s content. You can use this hash for content fingerprinting.

Name	Required	Default	Description
`fields`	yes	n/a	Array of fields to include inthe fingerprint. For objects, the processor hashes both the field key andvalue. For other fields, the processor hashes only the field value.
`target_field`	no	`fingerprint`	Output field for the fingerprint.
`salt`	no	<none>	Salt value for the hash function.
`method`	no	`SHA-1`	The hash method used tocompute the fingerprint. Must be one of `MD5`, `SHA-1`, `SHA-256`, `SHA-512`, or`MurmurHash3`.
`ignore_missing`	no	`false`	If `true`, the processorignores any missing `fields`. If all fields are missing, the processor silentlyexits without modifying the document.
`description`	no	-	Description of the processor. Useful for describing the purpose of the processor or its configuration.
`if`	no	-	Conditionally execute the processor. See Conditionally run a processor.
`ignore_failure`	no	`false`	Ignore failures for the processor. See Handling pipeline failures.
`on_failure`	no	-	Handle failures for the processor. See Handling pipeline failures.
`tag`	no	-	Identifier for the processor. Useful for debugging and metrics.

Example

The following example illustrates the use of the fingerprint processor:

  POST _ingest/pipeline/_simulate { "pipeline": { "processors": [ { "fingerprint": { "fields": ["user"] } } ] }, "docs": [ { "_source": { "user": { "last_name": "Smith", "first_name": "John", "date_of_birth": "1980-01-15", "is_active": true } } } ] }  

Which produces the following result:

  { "docs": [ { "doc": { ... "_source": { "fingerprint" : "WbSUPW4zY1PBPehh2AA/sSxiRjw=", "user" : { "last_name" : "Smith", "first_name" : "John", "date_of_birth" : "1980-01-15", "is_active" : true } } } } ] }  