You're reading from Advanced Elasticsearch 7.0

Product typeBook

Published inAug 2019

Reading LevelBeginner

PublisherPackt

ISBN-139781789957754

Edition1st Edition

Languages

Java

Tools

Elasticsearch

Concepts

Enterprise Search

Author (1)

Wai Tak Wong

Built-in analyzers

In this section, we are going to introduce built-in analyzers. Each built-in analyzer contains a tokenizer and zero or more token filters. The corresponding parameter of the token filter that is used can be applied to the analyzer just like in the previous section. No more character filters or token filters are added in the testing. We'll cover all the supported analyzers and compile the testing results in the following table. The input text for all testing will be In Elasticsearch 7.0:

Analyzer	Composed of		Output tokens
Analyzer	Tokenizer	Token filter	Output tokens
`standard`	`standard`	`lowercase + stop (disable in default)`	`["in", "elasticsearch", "7.0"]`
`simple`	`lowercase`		`["in", "elasticsearch"]`
`whitespace`	`whitespace`		`["In", "Elasticsearch", "7.0"]`
`stop`	`lowercase`	`stop`	`["elasticsearch...`

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Advanced Elasticsearch 7.0

Published in: Aug 2019Publisher: PacktISBN-13: 9781789957754

Author (1)

Wai Tak Wong

Wai Tak Wong is a faculty member in the Department of Computer Science at Kean University, NJ, USA. He has more than 15 years professional experience in cloud software design and development. His PhD in computer science was obtained at NJIT, NJ, USA. Wai Tak has served as an associate professor in the Information Management Department of Chung Hua University, Taiwan. A co-founder of Shanghai Shellshellfish Information Technology, Wai Tak acted as the Chief Scientist of the R&D team, and he has published more than a dozen algorithms in prestigious journals and conferences. Wai Tak began his search and analytics technology career with Elasticsearch in the real estate market and later applied this to data management and FinTech data services.
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