Enrich processor in Elasticsearch - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the purpose of the Enrich processor in Elasticsearch?

The Enrich processor adds additional data to documents during ingest by looking up matching information from an enrich index, helping to enrich documents with related data.

beginner

Which Elasticsearch component stores the data used by the Enrich processor for lookups?

The enrich index stores the data that the Enrich processor uses to find matching information during document ingestion.

intermediate

How do you define a match field in an Enrich policy?

In an Enrich policy, the 'match_field' parameter specifies the field in the enrich index used to match against the field from the incoming document.

intermediate

What happens if the Enrich processor does not find a matching document in the enrich index?

If no match is found, the Enrich processor does not add any fields to the document and processing continues without enrichment.

beginner

Name one benefit of using the Enrich processor in an Elasticsearch ingest pipeline.

It allows you to add related data to documents at ingest time without duplicating data in the main index, improving query performance and data consistency.

What does the Enrich processor use to find additional data for a document?

A A cache in memory

B The main Elasticsearch index

C A remote database

D An enrich index

The Enrich processor looks up data in a special enrich index created by an enrich policy.

Which step must you perform before using the Enrich processor?

A Create an enrich policy and execute it to build the enrich index

B Restart the Elasticsearch cluster

C Create a snapshot of the data

D Enable the enrich plugin

You must create and execute an enrich policy to build the enrich index before using the Enrich processor.

In an enrich processor, what is the 'field' parameter used for?

A To specify the field in the document to enrich

B To specify the field to store the enriched data

C To specify the field in the enrich index to match against

D To specify the field to ignore

The 'field' parameter specifies the field in the incoming document used to match against entries in the enrich index.

What type of processor is the Enrich processor in Elasticsearch?

A Query processor

B Ingest processor

C Indexing processor

D Search processor

The Enrich processor is an ingest processor that enriches documents as they are ingested.

Can the Enrich processor add multiple fields from the enrich index to the document?

A Only if the fields are numeric

B No, it can add only one field

C Yes, it can add multiple fields

D Only if the fields are strings

The Enrich processor can add multiple fields from the enrich index to the document.

Explain how the Enrich processor works in an Elasticsearch ingest pipeline.

Think about how extra data is added to documents during ingestion.

Describe the steps to set up and use the Enrich processor in Elasticsearch.

Consider the preparation and usage phases.