Elasticsearch essentials : harness the power of Elasticsearch to build and manage scalable search and analytics solutions with this fast-paced guide, Bharvi Dixit

Resource Information

The instance Elasticsearch essentials : harness the power of Elasticsearch to build and manage scalable search and analytics solutions with this fast-paced guide, Bharvi Dixit represents a material embodiment of a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library. This resource is a combination of several types including: Instance, Electronic.

Image

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Label

Elasticsearch essentials : harness the power of Elasticsearch to build and manage scalable search and analytics solutions with this fast-paced guide, Bharvi Dixit

Title remainder

harness the power of Elasticsearch to build and manage scalable search and analytics solutions with this fast-paced guide

Statement of responsibility

Bharvi Dixit

Instantiates

• Elasticsearch essentials : harness the power of Elasticsearch to build and manage scalable search and analytics solutions with this fast-paced guide

Publication

• Birmingham, UK, Packt Publishing, 2016

Note

Includes index

Carrier category

online resource

Carrier category code

• cr

Carrier MARC source

rdacarrier

Content category

text

Content type code

• txt

Content type MARC source

rdacontent

Contents

• Cover; Copyright; Credits; About the Author; Acknowledgments; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with Elasticsearch; Introducing Elasticsearch; The primary features of Elasticsearch; Understanding REST and JSON; What is REST?; What is JSON?; Elasticsearch common terms; Understanding Elasticsearch structure with respect to relational databases; Installing and configuring Elasticsearch; Installing Elasticsearch on Ubuntu through Debian package; Installing Elasticsearch on Centos through the RPM package
• Understanding the Elasticsearch installation directory layoutConfiguring basic parameters; Adding another node to the cluster; Installing Elasticsearch plugins; Checking for installed plugins; Installing the Head plugin for Elasticsearch; Installing Sense for Elasticsearch; Basic operations with Elasticsearch; Creating an Index; Indexing a document in Elasticsearch; Fetching documents; Get a complete document; Getting part of a document; Updating documents; Updating a whole document; Updating documents partially; Deleting documents; Checking documents' existence; Summary
• Chapter 2: Understanding Document Analysis and Creating MappingsText search; TF-IDF; Inverted indexes; Document analysis; Introducing Lucene analyzers; Creating custom analyzers; Changing a default analyzer; Putting custom analyzers into action; Elasticsearch mapping; Document metadata fields; Data types and index analysis options; Configuring data types; Indexing the same field in different ways; Putting mappings in an index; Viewing mappings; Updating mappings; Summary; Chapter 3: Putting Elasticsearch into Action; CRUD operations using elasticsearch-py; Setting up the environment
• Installing PipInstalling virtualenv; Installing elasticsearch-py; Performing CRUD operations; Request timeouts; Creating indexes with settings and mappings; Indexing documents; Retrieving documents; Updating documents; Appending a value in an array; Updates using doc; Checking document existence; Deleting a document; CRUD operations using Java; Connecting with Elasticsearch; Indexing a document; Fetching a document ; Updating a document; Deleting documents; Creating a search database; Elasticsearch Query-DSL; Understanding Query-DSL parameters; Query types; Full-text search queries; match_all
• Match querymulti match; query_string; Term-based search queries; Term query; Terms query; Range queries; Exists queries; Missing queries; Compound queries; Bool queries; Not queries; Search requests using Python; Search requests using Java; Parsing search responses; Sorting your data; Sorting documents by field values; Sorting on more than one field; Sorting multivalued fields; Sorting on string fields; Document routing; Summary; Chapter 4: Aggregations for Analytics; Introducing the aggregation framework; Aggregation syntax; Extracting values; Returning only aggregation results

Control code

939400530

Dimensions

unknown

Extent

1 online resource (1 volume)

Form of item

online

Isbn

9781784391010

Media category

computer

Media MARC source

rdamedia

Media type code

• c

Other physical details

illustrations.

http://library.link/vocab/ext/overdrive/overdriveId

• cl0500000716
• e4f264a6-e672-433a-83bb-78c2095b3656

Record ID

.b123949075

Sound

unknown sound

Specific material designation

remote

System control number

(OCoLC)939400530