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How to use pagination - Spring Data Elasticsearch - Part 7

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In this tutorial series we take a look at Elasticsearch and see how we can use it together with Spring Boot. To make things easier for use we use awesome Spring Data Elasticsearch. For all of those who are not familiar with it, Elasticsearch is a distributed, free and open search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured. Elasticsearch is built on Apache Lucene and was first released in 2010 by Elasticsearch N.V. (now known as Elastic). Known for its simple REST APIs, distributed nature, speed, and scalability, Elasticsearch is the central component of the Elastic Stack, a set of free and open tools for data ingestion, enrichment, storage, analysis, and visualization. Commonly referred to as the ELK Stack (after Elasticsearch, Logstash, and Kibana), the Elastic Stack now includes a rich collection of lightweight shipping agents known as Beats for sending data to Elasticsearch.
In this video we take a look how we can use pagination with elasticsearch.
Boolean query:
A query that matches documents matching boolean combinations of other queries. The bool query maps to Lucene BooleanQuery. It is built using one or more boolean clauses, each clause with a typed occurrence. The occurrence types are:
Java API:
Source code:
This videos commit:
Experience the search:
#java #springboot #elasticsearch
In this video we take a look how we can use pagination with elasticsearch.
Boolean query:
A query that matches documents matching boolean combinations of other queries. The bool query maps to Lucene BooleanQuery. It is built using one or more boolean clauses, each clause with a typed occurrence. The occurrence types are:
Java API:
Source code:
This videos commit:
Experience the search:
#java #springboot #elasticsearch
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