Elasticsearch Interviewfragen und Antworten

Frage 26. How does Elasticsearch handle relevance scoring in search results?

Elasticsearch uses a scoring algorithm based on the relevance of documents to the search query.

Frage 27. What is Elasticsearch?

Elasticsearch is a distributed search and analytics engine built on top of Apache Lucene. It provides a scalable and real-time search solution.

Example:

GET /index/_search?q=query

Frage 28. Explain the term 'Mapping Conflict' in Elasticsearch.

Mapping conflict occurs when conflicting field types are encountered during dynamic mapping.

Frage 29. Explain the concept of an index in Elasticsearch.

An index in Elasticsearch is a collection of documents that share similar characteristics. It is similar to a database in relational databases.

Example:

PUT /my_index

Frage 30. What is the purpose of the 'Snapshot' and 'Restore' feature in Elasticsearch?

Snapshot and Restore allow for the backup and recovery of an entire cluster or specific indices.