By Matthew Lee Hinman, Radu Gheorghe, Roy Russo
Elasticsearch in motion teaches you ways to construct scalable seek purposes utilizing Elasticsearch. You’ll ramp up speedy, with an informative evaluate and an interesting introductory instance. in the first few chapters, you’ll decide up the center ideas you want to enforce uncomplicated searches and effective indexing. With the basics good in hand, you’ll move directly to achieve an equipped view of the way to optimize your layout. excellent for builders and directors construction and coping with search-oriented functions.
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Additional resources for Elasticsearch in Action
Sample text
Through the same REST API you can read and change many settings (as you’ll see in chapter 11), as well as the way documents are indexed. What about Apache Solr? If you’ve already heard about Lucene, you’ve probably also heard about Solr, which is an open-source, distributed search engine based on Lucene. In fact, Lucene and Solr merged as a single Apache project in 2010, so you might wonder how Elasticsearch compares with Solr. Both search engines provide similar functionality, and features evolve quickly with each new version.
Co/downloads/elasticsearch: Tar, ZIP, RPM, and DEB. gz package. gz % cd elasticsearch-* % bin/elasticsearch HOMEBREW PACKAGE MANAGER FOR OS X If you need an easier way to install Elasticsearch on your Mac, you can install Homebrew. sh. gz archive: % elasticsearch ZIP PACKAGE If you’re running on Windows, download the ZIP archive. bat RPM OR DEB PACKAGES If you’re running on Red Hat Linux, CentOS, SUSE, or anything else that works with RPMs, or Debian, Ubuntu, or anything else that works with DEBs, there are RPM and DEB repositories provided by Elastic.
2 Elasticsearch as the only back end storing and indexing all your data What happens if a server goes down? You can get fault tolerance by replicating your data to different servers. Many other features make Elasticsearch a tempting NoSQL data store. It can’t be great for everything, but you should weigh whether including another data store in your overall design is worth the extra complexity. 2 Adding Elasticsearch to an existing system By itself, Elasticsearch may not always provide all the functionality you need from a data store.