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You're reading from  Learning ELK Stack

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Published inNov 2015
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ISBN-139781785887154
Edition1st Edition
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Saurabh Chhajed
Saurabh Chhajed
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Saurabh Chhajed

Saurabh Chhajed is a technologist with vast professional experience in building Enterprise applications that span across product and service industries. He has experience building some of the largest recommender engines using big data analytics and machine learning, and also enjoys acting as an evangelist for big data and NoSQL technologies. With his rich technical experience, Saurabh has helped some of the largest financial and industrial companies in USA build their large product suites and distributed applications from scratch. He shares his personal experiences with technology at http://saurzcode.in. Saurabh has also reviewed books by Packt Publishing, Apache Camel Essentials and Java EE 7 Development with NetBeans 8, in the past.
Read more about Saurabh Chhajed

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Elasticsearch basic concepts


Let's look at some of the basic concepts of Elasticsearch, which explain how it stores the indexed data.

Index

Index in Elasticsearch is a collection of documents that share some common characteristics.

Each index contains multiple types, which in turn contains multiple documents, and each document contains multiple fields. An index consists of multiple JSON documents in Elasticsearch. There can be any number of indices in a cluster in Elasticsearch.

In ELK, when Logstash JSON documents are sent to Elasticsearch, they are sent as the default index pattern "logstash-%{+YYYY.MM.dd}". It partitions indices by day so that it can easily be searched and deleted if required. This pattern can be changed in the Logstash output plugin configuration.

The URL to search and query the indices looks like this:

http://localhost:9200/[index]/[type]/[operation]

Document

A document in Elasticsearch is a JSON document stored in an index. Each document has a type and corresponding ID,...

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Learning ELK Stack
Published in: Nov 2015Publisher: ISBN-13: 9781785887154

Author (1)

author image
Saurabh Chhajed

Saurabh Chhajed is a technologist with vast professional experience in building Enterprise applications that span across product and service industries. He has experience building some of the largest recommender engines using big data analytics and machine learning, and also enjoys acting as an evangelist for big data and NoSQL technologies. With his rich technical experience, Saurabh has helped some of the largest financial and industrial companies in USA build their large product suites and distributed applications from scratch. He shares his personal experiences with technology at http://saurzcode.in. Saurabh has also reviewed books by Packt Publishing, Apache Camel Essentials and Java EE 7 Development with NetBeans 8, in the past.
Read more about Saurabh Chhajed