The percolate query is one of the popular features of Elasticsearch. Until now, we indexed the documents and used the search API to query the documents. Percolate query is reverse search. The actual queries are stored into an index, and we can percolate a document to get the queries that match the document. By using the percolate query, you are checking whether the document matches any of the predefined criteria. Common use cases include alerts and monitoring.
For example, we want to classify the products in an e-commerce store. First, we will add predefined queries to the chapter7 index and use the percolate query to check whether a product matches any predefined queries. The following example will make it more clear. To use the percolate query, we need to first add a mapping with the percolator type. In the following command, we are adding...
Learning Elasticsearch
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Learning Elasticsearch
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Overview of this book
Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source
search and analytics engine. You can use Elasticsearch for small or large applications with billions of documents. It is built to scale horizontally and can handle both structured and unstructured data. Packed with easy-to- follow examples, this book will ensure you will have a firm understanding of the basics of Elasticsearch and know how to utilize its capabilities efficiently.
You will install and set up Elasticsearch and Kibana, and handle documents using the Distributed Document Store. You will see how to query, search, and index your data, and perform aggregation-based analytics with ease. You will see how to use Kibana to explore and visualize your data.
Further on, you will learn to handle document relationships, work with geospatial data, and much more, with this easy-to-follow guide. Finally, you will see how you can set up and scale your Elasticsearch clusters in production environments.
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Current Title:
Learning Elasticsearch
Table of Contents (11 chapters)
Preface
Free Chapter
Introduction to Elasticsearch
Setting Up Elasticsearch and Kibana
Modeling Your Data and Document Relations
Indexing and Updating Your Data
Organizing Your Data and Bulk Data Ingestion
All About Search
More Than a Search Engine (Geofilters, Autocomplete, and More)
How to Slice and Dice Your Data Using Aggregations
Production and Beyond
Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)
Customer Reviews