Book Image

Learning Elasticsearch

By : Abhishek Andhavarapu
Book Image

Learning Elasticsearch

By: Abhishek Andhavarapu

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.
Table of Contents (11 chapters)
10
Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)

Multi search

Multi search allows us to group search requests together. It is similar to the multi-get and the other bulk APIs. By grouping the requests together, we can save the network round trips and execute the queries in the request in parallel. We can control the number of the requests that are executed in parallel. A simple multi search request is shown here:

#Multi Search
GET chapter7/_msearch
{"type" : "product"}
{"query" : {"match_all" : {}}, "from" : 0, "size" : 10}
{"type" : "product_review"}
{"query" : {"match_all" : {}}}

The response of the multi search query is a list of responses. Each request is executed independently, and the failure of one request will not affect the others. The response to the preceding query will contain responses to two queries as shown next:

{
...