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Advanced Elasticsearch 7.0

You're reading from  Advanced Elasticsearch 7.0

Product type Book
Published in Aug 2019
Publisher Packt
ISBN-13 9781789957754
Pages 560 pages
Edition 1st Edition
Languages
Author (1):
Wai Tak Wong Wai Tak Wong
Profile icon Wai Tak Wong

Table of Contents (25) Chapters

Preface Section 1: Fundamentals and Core APIs
Overview of Elasticsearch 7 Index APIs Document APIs Mapping APIs Anatomy of an Analyzer Search APIs Section 2: Data Modeling, Aggregations Framework, Pipeline, and Data Analytics
Modeling Your Data in the Real World Aggregation Frameworks Preprocessing Documents in Ingest Pipelines Using Elasticsearch for Exploratory Data Analysis Section 3: Programming with the Elasticsearch Client
Elasticsearch from Java Programming Elasticsearch from Python Programming Section 4: Elastic Stack
Using Kibana, Logstash, and Beats Working with Elasticsearch SQL Working with Elasticsearch Analysis Plugins Section 5: Advanced Features
Machine Learning with Elasticsearch Spark and Elasticsearch for Real-Time Analytics Building Analytics RESTful Services Other Books You May Enjoy

Token filters

The main function of a token filter is to add, modify, or delete the characters of the output tokens from the tokenizer. There are approximately 50 built-in token filters. We'll cover some popular token filters in the following table. You can find out more and learn about the remaining token filters at https://www.elastic.co/guide/en/elasticsearch/reference/7.x/analysis-tokenfilters.html. Each example token filter in the following table uses a standard tokenizer and a specified token filter. Note that no character filter is applied:

Token filter
asciifolding Input text "Ÿőű'ľľ ľőνė Ȅľȁśťĩćŝėȁŕćĥ 7.0"
Description

This transforms the terms when letters, numbers, and unicode symbols are not in the first 127...

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