Elasticsearch: A Complete Guide

Elasticsearch: A Complete Guide

by: Bharvi Dixit and Rafal Kuc

by: Bharvi Dixit – Rafal Kuc – Marek Rogozinski – Saurabh Chhajed
ISBN-10: 1787288544
ISBN-13: 9781787288546
Publication Date 出版日期: 2017-01-31
Print Length 页数: 826
9
File Size: 22002 KB
Publisher finelybook 出版社: Packt Publishing; 1 edition (31 Jan. 2017)
Sold by: Amazon Media EU S.à r.l.
Language 语言: English
ASIN: B01MTFBKWY

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Book Description

By finelybook

Elasticsearch is a modern,fast,distributed,scalable,fault tolerant,open source search and analytics engine. It provides a new level of control over how you can index and search even huge sets of data. This course will take you from the basics of Elasticsearch to using Elasticsearch in the Elastic Stack and in production.
You’ll start with the very basics: Elasticsearch terminology,installation,and configuring Elasticsearch. After this,you’ll take a look at analytics and indexing,search,and querying. You’ll learn how to create maps and visualizations. You’ll also be briefed on cluster scaling,search and bulk operations,backups,and security.
Then you’ll be ready to get into Elasticsearch’s internal functionalities including caches,Apache Lucene library,and its monitoring capabilities. You’ll learn about the practical usage of Elasticsearch configuration parameters and how to use the monitoring API. You’ll discover how to improve the user search experience,index distribution,segment statistics,merging,and more.
Once you have mastered this,you’ll dive into end-to-end visualize-analyze-log techniques with Elastic Stack (also known as the ELK stack). You’ll explore Elasticsearch,Logstash,and Kibana and see how to make them work together to build fresh insights and business metrics out of data. You’ll be able to use Elasticsearch with other de facto components in order to get the most out of Elasticsearch. By the end of this course,you’ll have developed a full-fledged data pipeline.
This Learning Path combines some of the best that Packt has to offer in one complete,curated package. It includes content from the following Packt products:
Elasticsearch Essentials
Mastering Elasticsearch,Second Edition
Learning ELK Stack
Contents
1: GETTING STARTED WITH ELASTICSEARCH
2: UNDERSTANDING DOCUMENT ANALYSIS AND CREATING MAPPINGS
3: PUTTING ELASTICSEARCH INTO ACTION
4: AGGREGATIONS FOR ANALYTICS
5: DATA LOOKS BETTER ON MAPS: MASTER GEO-SPATIALITY
6: DOCUMENT RELATIONSHIPS IN NOSQL WORLD
7: DIFFERENT METHODS OF SEARCH AND BULK OPERATIONS
8: CONTROLLING RELEVANCY
9: CLUSTER SCALING IN PRODUCTION DEPLOYMENTS
10: BACKUPS AND SECURITY
11: INTRODUCTION TO ELASTICSEARCH
12: POWER USER QUERY DSL
13: NOT ONLY FULL TEXT SEARCH
14: IMPROVING THE USER SEARCH EXPERIENCE
15: THE INDEX DISTRIBUTION ARCHITECTURE
16: LOW-LEVEL INDEX CONTROL
17: ELASTICSEARCH ADMINISTRATION
18: IMPROVING PERFORMANCE
19: DEVELOPING ELASTICSEARCH PLUGINS
20: INTRODUCTION TO ELK STACK
21: BUILDING YOUR FIRST DATA PIPELINE WITH ELK
22: COLLECT,PARSE AND TRANSFORM DATA WITH LOGSTASH
23: CREATING CUSTOM LOGSTASH PLUGINS
24: WHY DO WE NEED ELASTICSEARCH IN ELK?
25: FINDING INSIGHTS WITH KIBANA
26: KIBANA – VISUALIZATION AND DASHBOARD
27: PUTTING IT ALL TOGETHER
28: ELK STACK IN PRODUCTION
29: EXPANDING HORIZONS WITH ELK
What You Will Learn
Install and configure Elasticsearch,Logstash,and Kibana
Write CRUDE operations and other search functionalities using the Elasticsearch Python and Java Clients
Build analytics using aggregations
Set up and scale Elasticsearch clusters using best practices
Master document relationships and geospatial data
Build your own data pipeline using Elastic Stack
Choose the appropriate amount of shards and replicas for your deployment
Become familiar with the Elasticsearch APIs
Authors
Bharvi Dixit
Bharvi Dixit is an IT professional with extensive experience of working on search servers,NoSQL databases,and cloud services. He holds a master’s degree in computer science and is currently working with Sentieo,a USA-based financial data and equity research platform,where he leads the overall platform and architecture of the company spanning across hundreds of servers. At Sentieo,he also plays a key role in the search and data team.
He is also the organizer of Delhi’s Elasticsearch Meetup Group,where he speaks about Elasticsearch and Lucene and is continuously building the community around these technologies.
Bharvi also works as a freelance Elasticsearch consultant and has helped more than half a dozen organizations adapt Elasticsearch to solve their complex search problems around different use cases,such as creating search solutions for big data-automated intelligence platforms in the area of counter-terrorism and risk management,as well as in other domains,such as recruitment,e-commerce,finance,social search,and log monitoring.
He has a keen interest in creating scalable backend platforms. His other areas of interests are search engineering,data analytics,and distributed computing. Java and Python are the primary languages in which he loves to write code. He has also built a proprietary software for consultancy firms.
In 2013,he started working on Lucene and Elasticsearch,and in 2016,he authored his first book,Elasticsearch Essentials,which was published by Packt. He has also worked as a technical reviewer for the book Learning Kibana 5.0 by Packt.
You can connect with him on LinkedIn at https://in.linkedin.com/in/bharvidixit or can follow him on Twitter @d_bharvi.
Rafał Kuć
Rafał Kuć is a software engineer,trainer,speaker and consultant. He is working as a consultant and software engineer at Sematext Group Inc. where he concentrates on open source technologies such as Apache Lucene,Solr,and Elasticsearch. He has more than 14 years of experience in various software domains—from banking software to e–commerce products. He is mainly focused on Java; however,he is open to every tool and programming language that might help him to achieve his goals easily and quickly. Rafał is also one of the founders of the solr.pl site,where he tries to share his knowledge and help people solve their Solr and Lucene problems. He is also a speaker at various conferences around the world such as Lucene Eurocon,Berlin Buzzwords,ApacheCon,Lucene/Solr Revolution,Velocity,and DevOps Days.
Rafał began his journey with Lucene in 2002; however,it wasn’t love at first sight. When he came back to Lucene in late 2003,he revised his thoughts about the framework and saw the potential in search technologies. Then Solr came and that was it. He started working with Elasticsearch in the middle of 2010. At present,Lucene,Solr,Elasticsearch,and information retrieval are his main areas of interest.
Rafał is also the author of the Solr Cookbook series,ElasticSearch Server and its second edition,and the first and second editions of Mastering ElasticSearch,all published by Packt Publishing.
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