Fields are the minimal unit of storage in the Lucene ecosystem. A document contains a set of fields and is generally stored in JSON format. ![]() Documents do not have a specific scheme and every document pushed into the index is tagged with a unique identifier. Given that Elasticsearch is a distributed system and clusters can be added on demand, there is virtually no limit to the number of documents an Elasticsearch server can store.Ī document is a record containing information related to the index. You can think of an index as a folder with multiple related documents. I will briefly describe these concepts below.Īn index is a collection of documents sharing conceptual and logical similarities. The fundamental concepts required to understand the theory behind Apache Lucene are indexes, documents, inverted indexes, scoring, and tokenisation. The figure below depicts the integration between Elasticsearch and Lucene, and how they interact with external systems: The core of Elasticsearch is the Apache Lucene library, which includes features for indexing, searching, retrieving and updating documents, and text analysis. FUNDAMENTAL CONCEPTS OF THE APACHE LUCENE LIBRARY ![]() Additionally, I will present a case where these Elasticsearch features were evaluated and Elasticsearch was proposed as the main data repository for an internal project. This article explores fundamental Elasticsearch concepts such as indexes, documents, and inverted indexes, and how these concepts work together to provide storage and relevance scoring. ![]() Which is why I want to share some fundamental information on the topic.Ĭurrently, Elasticsearch is ranked as the most popular search engine according to DB-Engines. That could be the reason Google became so popular, and Google certainly resolved that problem.Īs the amount of content is growing daily and with an increased pace, giving such powerful search capabilities to users is getting more important as well. I still remember those days of using search engines in different portals and not getting even one relevant result.
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