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Mastering ElasticSearch
Mastering ElasticSearch
- GenresProgramming
386 pages, Paperback
First published January 1, 2013
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36 people want to read
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Displaying 1 - 3 of 3 reviews
May 10, 2015
It is hard to underestimate the importance of the search nowadays. It probably even occurs without being noticed, but try to count how many times a day you tried to search for a product online, search through an online catalogue, an abbreviation or simply a weather forecast? Even a simple one page document or a webpage offers search capabilities (Ctrl-F). But have you ever wondered about how fast the search through Wiki is or how exact it is, even correcting your misspellings?
These and more elaborate searches are a product of very powerful software. Typically thanks the Lucene index, it is like standing on the shoulders of a giant, Solr and Elasticsearch are capable of scouting through a sea of documents and terms in milliseconds, boosting the most relevant results to the top helping human or robot deliver business insight, guide through darkness of overwhelming amounts of information to the decision or helping buy the correct product.
It becomes very obvious that these products encapsulate tons of advanced features and boast an array of capabilities, but sifting through the myriad of the features may at times become exhausting, and sure time consuming.
This is where the excellent technical literature as Mastering Elasticsearch 2nd Edition makes a lot of sense. Please note, this is the 2nd edition in a very short period of time (less than two years). What it means, there are two things. First, the book is very popular so the authors get a lot of support and demand for a sequel, second, the technology is evolving fast (~ 100 pages added). All these are good news and a confirmation that Elasticsearch is a mature yet promising technology that is here to stay. It will not be needless to state that this book is seen by the authors as a companion book to the Elasticsearch Server 2nd Edition that I did not read, but the authors stress out that it is a good idea to start from one.
The Mastering Elasticsearch book does feel like aiming at the search engineers, or those who already is involved in conceiving or using a product that will utilize the search capabilities of Elasticsearch. It is full of practical advice, insight and examples that are ranging from fine-tuning the searches to setting and properly configuring the cluster up. There is a chapter toward the end about how to crate plugins to any software project.
I liked the following parts in the book: boosting search scores, using Groovy as a scripting language, troubleshooting and speeding up performance.
Some knowledge of Java is assumed, but no special tooling or software is necessary to go through the book. But please be aware that you will type a lot of text, JSON specifically, so you may want an editor that has good support for JSON especially color highlighting e.g. the Eclipse JSON plugin. Groovy was used very lightly and all the examples were very eloquent.
On the missing thing part, I did not see any examples on how to execute geospatial searched event though it was mentioned that these are possible, and I was highly interested in it.
It does not reduce my score even a bit though, this is an example of a very hard work on the part of the authors and publisher, five our of five.
These and more elaborate searches are a product of very powerful software. Typically thanks the Lucene index, it is like standing on the shoulders of a giant, Solr and Elasticsearch are capable of scouting through a sea of documents and terms in milliseconds, boosting the most relevant results to the top helping human or robot deliver business insight, guide through darkness of overwhelming amounts of information to the decision or helping buy the correct product.
It becomes very obvious that these products encapsulate tons of advanced features and boast an array of capabilities, but sifting through the myriad of the features may at times become exhausting, and sure time consuming.
This is where the excellent technical literature as Mastering Elasticsearch 2nd Edition makes a lot of sense. Please note, this is the 2nd edition in a very short period of time (less than two years). What it means, there are two things. First, the book is very popular so the authors get a lot of support and demand for a sequel, second, the technology is evolving fast (~ 100 pages added). All these are good news and a confirmation that Elasticsearch is a mature yet promising technology that is here to stay. It will not be needless to state that this book is seen by the authors as a companion book to the Elasticsearch Server 2nd Edition that I did not read, but the authors stress out that it is a good idea to start from one.
The Mastering Elasticsearch book does feel like aiming at the search engineers, or those who already is involved in conceiving or using a product that will utilize the search capabilities of Elasticsearch. It is full of practical advice, insight and examples that are ranging from fine-tuning the searches to setting and properly configuring the cluster up. There is a chapter toward the end about how to crate plugins to any software project.
I liked the following parts in the book: boosting search scores, using Groovy as a scripting language, troubleshooting and speeding up performance.
Some knowledge of Java is assumed, but no special tooling or software is necessary to go through the book. But please be aware that you will type a lot of text, JSON specifically, so you may want an editor that has good support for JSON especially color highlighting e.g. the Eclipse JSON plugin. Groovy was used very lightly and all the examples were very eloquent.
On the missing thing part, I did not see any examples on how to execute geospatial searched event though it was mentioned that these are possible, and I was highly interested in it.
It does not reduce my score even a bit though, this is an example of a very hard work on the part of the authors and publisher, five our of five.
May 24, 2015
Mastering Elasticsearch is a very well written and comprehensive book that helps professionals already working with Elasticsearch to understand how it works and how to get the most from it.
This book deals with every aspect of running Elasticsearch ranging from mastering queries and indexing, to optimization, to administration, to scaling and performance tuning.
The authors explain in a clear and concise manner every topic, even when they delve into the internals of Elasticsearch, showing the reader how things work under the hoods with many examples and pictures.
The first part of the book is introductory and explains the general architecture of Elasticsearch, indexing, queries scoring internals and how to obtain a good user experience.
One particular subject that is analysed throughout the book is the relationship of Elasticsearch with the Lucene indexing and search engine, since Elasticsearch is built on top of it.
In the second part, the authors teach the most advanced topics, like sharding and index allocation, low level index control, routing, administration and scaling an Elasticsearch system, giving to the reader the keys to correctly design, dimension and evolve an efficient Elasticsearch cluster.
Overall, if you are already working with Elasticsearch and you need to know how to detect and handle performance issues or to improve user experience or to scale your Elasticsearch environment, this is an excellent book to read.
This book deals with every aspect of running Elasticsearch ranging from mastering queries and indexing, to optimization, to administration, to scaling and performance tuning.
The authors explain in a clear and concise manner every topic, even when they delve into the internals of Elasticsearch, showing the reader how things work under the hoods with many examples and pictures.
The first part of the book is introductory and explains the general architecture of Elasticsearch, indexing, queries scoring internals and how to obtain a good user experience.
One particular subject that is analysed throughout the book is the relationship of Elasticsearch with the Lucene indexing and search engine, since Elasticsearch is built on top of it.
In the second part, the authors teach the most advanced topics, like sharding and index allocation, low level index control, routing, administration and scaling an Elasticsearch system, giving to the reader the keys to correctly design, dimension and evolve an efficient Elasticsearch cluster.
Overall, if you are already working with Elasticsearch and you need to know how to detect and handle performance issues or to improve user experience or to scale your Elasticsearch environment, this is an excellent book to read.
March 28, 2014
Great guide on ES.
Displaying 1 - 3 of 3 reviews