Elasticsearch Series (2) – Basic Concepts of ES
Elasticsearch Series (2) – Basic Concepts of ES This chapter will share with you some basic concepts of Elasticsearch. This chapter will share with you some basic concepts of Elasticsearch. Without further ado, let’s get straight to the topic. 1. What is Lucene Lucene is Apache’s open source search engine library, which provides the core API of search engines. 1. Advantages of Lucene: easy expansion, high performance (based on inverted index) 2. Disadvantages of Lucene: limited to Java language development, steep learning curve, and does not support horizontal expansion 2. What is Elasticsearch Elasticsearch (ES for short) is an open source, distributed full-text search and analysis engine. It can help us quickly find what we need from massive data. 1. Elasticsearch is developed based on Lucene. Compared with Lucene, Elasticsearch has the following advantages: it supports distribution and can be horizontally expanded; it provides a Restful interface and can be called by any language. 2. Elasticsearch combines Kibana, Logstash, and Beats, which is elastic stack (ELK). It is widely used in log data analysis, real-time monitoring and other fields. 3. Elasticsearch is the core of elastic stack (ELK) and is responsible for storing, searching, and analyzing data. 4. Official website…
Elasticsearch Series (2) – Basic Concepts of ES
Elasticsearch Series (2) – Basic Concepts of ES This chapter will share with you some basic concepts of Elasticsearch. This chapter will share with you some basic concepts of Elasticsearch. Without further ado, let’s get straight to the topic. 1. What is Lucene Lucene is Apache’s open source search engine library, which provides the core API of search engines. 1. Advantages of Lucene: easy expansion, high performance (based on inverted index) 2. Disadvantages of Lucene: limited to Java language development, steep learning curve, and does not support horizontal expansion 2. What is Elasticsearch Elasticsearch (ES for short) is an open source, distributed full-text search and analysis engine. It can help us quickly find what we need from massive data. 1. Elasticsearch is developed based on Lucene. Compared with Lucene, Elasticsearch has the following advantages: it supports distribution and can be horizontally expanded; it provides a Restful interface and can be called by any language. 2. Elasticsearch combines Kibana, Logstash, and Beats, which is elastic stack (ELK). It is widely used in log data analysis, real-time monitoring and other fields. 3. Elasticsearch is the core of elastic stack (ELK) and is responsible for storing, searching, and analyzing data. 4. Official website…
