Elasticsearch Essentials by Bharvi Dixit

Elasticsearch Essentials Bharvi Dixit ebook
Format: pdf
ISBN: 9781784391010
Publisher: Packt Publishing, Limited
Page: 165

Sorting your data Data in Elasticsearch is by default sorted by a relevance score, which is computed using the Lucene scoring formula, TF/IDF. I've been using ElasticSearch in other environments for over a year now. When both speed and relevancy are required together. Securing Elasticsearch Elasticsearch does not have any default security mechanisms. Cheaper bulk operations There are times when you need to perform more than one request on Elasticsearch. Document analysis When we index documents into Elasticsearch, it goes through an analysis phase that is necessary in order to create inverted indexes. Additional functionality for forums running XenForo Enhanced Search (ElasticSearch). Conventions In this book, you will find a number of text styles that distinguish between different kinds of information. Summary In this chapter, you learned how to create data backups of anElasticsearch cluster and restore them back into the same or another cluster. Understanding Query-DSL parameters query: The query object contains all the queries that need to be passed to Elasticsearch. Elasticsearch Query-DSL Query-DSL is a JSON interface provided byElasticsearch to write queries in the JSON format. An Introduction to Kibana Kibana is a tool that is part of the ELK stack, which consists of Elasticsearch, Logstash, and Kibana. Introducing Zen-Discovery Elasticsearch is highly scalable and distributed in nature. Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide. Customer support Now that you are the proud owner of a Packt book, we have a number of things to help you to get the most from your purchase.