Elasticsearch Essentials. Bharvi Dixit

Elasticsearch Essentials


Elasticsearch.Essentials.pdf
ISBN: 9781784391010 | 165 pages | 5 Mb


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Elasticsearch Essentials Bharvi Dixit
Publisher: Packt Publishing, Limited



Until now we have worked with simple geo-location and rectangle searches. Elasticsearch Performance and Scalability Essentials. An Introduction to Kibana Kibana is a tool that is part of the ELK stack, which consists of Elasticsearch, Logstash, and Kibana. Additional functionality for forums running XenForo Enhanced Search (ElasticSearch). Working with geo-point data Geo-points are single location points defined by a latitude-longitude pair on the surface of the earth. However, they bring a lot of memory pressure on Elasticsearch. Conventions In this book, you will find a number of text styles that distinguish between different kinds of information. Backups and Security Data backups and data security are the most important aspects of any organization. Putting Elasticsearch into Action We have covered a lot of ground onElasticsearch architecture, indexes, analyzers, and mappings. Published March 17, 2015 in Technology. Memory pressure and implications Aggregations are awesome! Geo-shapes are completely different from geo-points. Elasticsearch mapping We have seen in the previous chapter how an index can have one or more types and each type has its own mapping. Creating a cluster Since you have learned a major part of cluster configuration, let's begin to create a full-blown production-ready cluster. 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.





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