Elasticsearch 7.0 Cookbook: Over 100 Recipes for Fast, Scalable, and Reliable Search for Your Enterprise

by Alberto Paro

Search, analyze, and manage data effectively with Elasticsearch 7

Key FeaturesExtend Elasticsearch functionalities and learn how to deploy on Elastic CloudDeploy and manage simple Elasticsearch nodes as well as complex cluster topologiesExplore the capabilities of Elasticsearch 7 with easy-to-follow recipesBook DescriptionElasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. With this book, you'll be guided through comprehensive recipes on what's new in Elasticsearch 7, and see how to create and run complex queries and analytics.

Packed with recipes on performing index mapping, aggregation, and scripting using Elasticsearch, this fourth edition of Elasticsearch Cookbook will get you acquainted with numerous solutions and quick techniques for performing both every day and uncommon tasks such as deploying Elasticsearch nodes, integrating other tools to Elasticsearch, and creating different visualizations. You will install Kibana to monitor a cluster and also extend it using a variety of plugins. Finally, you will integrate your Java, Scala, Python, and big data applications such as Apache Spark and Pig with Elasticsearch, and create efficient data applications powered by enhanced functionalities and custom plugins.

By the end of this book, you will have gained in-depth knowledge of implementing Elasticsearch architecture, and you'll be able to manage, search, and store data efficiently and effectively using Elasticsearch.

What you will learnCreate an efficient architecture with ElasticsearchOptimize search results by executing analytics aggregationsBuild complex queries by managing indices and documentsMonitor the performance of your cluster and nodesDesign advanced mapping to take full control of index stepsIntegrate Elasticsearch in Java, Scala, Python, and big data applicationsInstall Kibana to monitor clusters and extend it for pluginsWho this book is forIf you’re a software engineer, big data infrastructure engineer, or Elasticsearch developer, you'll find this book useful. This Elasticsearch book will also help data professionals working in the e-commerce and FMCG industry who use Elastic for metrics evaluation and search analytics to get deeper insights for better business decisions. Prior experience with Elasticsearch will help you get the most out of this book.

Table of ContentsGetting startedManaging Mapping Basic Operations Exploring Search CapabilitiesText and Numeric QueriesRelationship and Geo QueriesAggregationsScripting in ElasticsearchManaging ClusterBackup and RestoreUser InterfacesUsing the Ingest moduleJava IntegrationScala IntegrationPython IntegrationPlugin DevelopmentBig Data Integration

726 pages, Kindle Edition

Published April 30, 2019

Reviews

[Xianshun Chen · Rating 3 out of 5]

There are some parts which i feel a bit verbose such as when explaining the installation and different ways of search, query, map, etc (which will be useful for reference anyway) as i only need to understand a subset of these command while explore the rest in the wild (e.g., http://java.dzone.com/articles/elasti...). While I did read through most of the materials, the book seems to me a bit week to present in a short and concise way to get someone immediately up-to-speed with working with various features of elastic search. However, coupled with a bit of online resources, it is actually quite easy to get started and toy with elastic search