Book Description
As a user of ElasticSearch in your web applications you’ll already know what a powerful technology it is, and with this book you can take it to new heights with a whole range of enhanced solutions from plugins to scripting.
- Write native plugins to extend the capabilities of ElasticSearch to boost your business
- Integrate the power of ElasticSearch in your Java applications using the native API or Python applications, with the ElasticSearch community client
- Step-by step-instructions to help you easily understand ElasticSearch’s capabilities, that act as a good reference for everyday activities
In Detail
ElasticSearch is one of the most promising NoSQL technologies available and is built to provide a scalable search solution with built-in support for near real-time search and multi-tenancy.
This practical guide is a complete reference for using ElasticSearch and covers 360 degrees of the ElasticSearch ecosystem. We will get started by showing you how to choose the correct transport layer, communicate with the server, and create custom internal actions for boosting tailored needs.
Starting with the basics of the ElasticSearch architecture and how to efficiently index, search, and execute analytics on it, you will learn how to extend ElasticSearch by scripting and monitoring its behaviour.
Step-by-step, this book will help you to improve your ability to manage data in indexing with more tailored mappings, along with searching and executing analytics with facets. The topics explored in the book also cover how to integrate ElasticSearch with Python and Java applications.
This comprehensive guide will allow you to master storing, searching, and analyzing data with ElasticSearch.
Table of Contents
- ElasticSearch Cookbook
- Table of Contents
- ElasticSearch Cookbook
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. Getting Started
- 2. Downloading and Setting Up ElasticSearch
- 3. Managing Mapping
- Introduction
- Using explicit mapping creation
- Mapping base types
- Mapping arrays
- Mapping an object
- Mapping a document
- Using dynamic templates in document mapping
- Managing nested objects
- Managing a child document
- Mapping a multifield
- Mapping a GeoPoint field
- Mapping a GeoShape field
- Mapping an IP field
- Mapping an attachment field
- Adding generic data to mapping
- Mapping different analyzers
- 4. Standard Operations
- Introduction
- Creating an index
- Deleting an index
- Opening/closing an index
- Putting a mapping in an index
- Getting a mapping
- Deleting a mapping
- Refreshing an index
- Flushing an index
- Optimizing an index
- Checking if an index or type exists
- Managing index settings
- Using index aliases
- Indexing a document
- Getting a document
- Deleting a document
- Updating a document
- Speeding up atomic operations (bulk)
- Speeding up GET
- 5. Search, Queries, and Filters
- Introduction
- Executing a search
- Sorting a search
- Highlighting results
- Executing a scan query
- Suggesting a correct query
- Counting
- Deleting by query
- Matching all the documents
- Querying/filtering for term
- Querying/filtering for terms
- Using a prefix query/filter
- Using a Boolean query/filter
- Using a range query/filter
- Using span queries
- Using the match query
- Using the IDS query/filter
- Using the has_child query/filter
- Using the top_children query
- Using the has_parent query/filter
- Using a regexp query/filter
- Using exists and missing filters
- Using and/or/not filters
- Using the geo_bounding_box filter
- Using the geo_polygon filter
- Using the geo_distance filter
- 6. Facets
- 7. Scripting
- 8. Rivers
- 9. Cluster and Nodes Monitoring
- 10. Java Integration
- 11. Python Integration
- 12. Plugin Development
- Index