ElasticSearch ElasticSearch Indexing & Data Management 3

Question 1

What is an 'ingest pipeline' in Elasticsearch?

Accepted Answer

A set of processors that transform documents before they are indexed

Answer

An ingest pipeline defines a series of processors that pre-process documents before indexing, such as parsing dates, renaming fields, or enriching data.

Question 2

What does the 'geo_point' field type enable in Elasticsearch?

Accepted Answer

Storing latitude/longitude coordinates and performing geo-spatial queries

Answer

The geo_point field type stores latitude and longitude pairs and enables geo-spatial queries such as finding documents within a bounding box or distance from a point.

Question 3

What is a 'nested' field type used for in Elasticsearch?

Accepted Answer

Storing deeply nested JSON arrays of objects while maintaining their inner relationships

Answer

The nested field type allows arrays of objects to be indexed and queried as independent sub-documents, preserving the relationship between fields within each object.

Question 4

What is the 'join' field type used for in Elasticsearch?

Accepted Answer

Defining parent-child relationships between documents within the same index

Answer

The join field type defines parent-child relationships between documents in the same index, allowing has_child and has_parent queries.

Question 5

What is the purpose of 'index templates' in Elasticsearch?

Accepted Answer

Automatically applying settings, mappings, and aliases to new indices matching a name pattern

Answer

Index templates allow you to define settings, mappings, and aliases that are automatically applied to new indices whose names match a specified pattern.

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ElasticSearch ElasticSearch Indexing & Data Management 3