Elasticsearch in Action

By Matthew Lee Hinman


Elasticsearch in Action teaches you the way to construct scalable seek purposes utilizing Elasticsearch. you will ramp up quickly, with an informative evaluate and a fascinating introductory instance. in the first few chapters, you will decide up the center innovations you must enforce simple searches and effective indexing. With the basics good in hand, you are going to cross directly to achieve an equipped view of the way to optimize your layout. excellent for builders and directors development and coping with search-oriented applications.

Purchase of the print booklet encompasses a loose publication in PDF, Kindle, and ePub codecs from Manning Publications.

About the Technology

Modern seek appears like magic—you variety a couple of phrases and the quest engine seems to be to grasp what you will want. With the Elasticsearch real-time seek and analytics engine, you could supply your clients this magical event with no need to do complicated low-level programming or comprehend complex information technology algorithms. you simply set up it, tweak it, and get on along with your work.

About the Book

Elasticsearch in Action teaches you ways to put in writing purposes that convey specialist caliber seek. As you learn, you are going to learn how to upload easy seek positive aspects to any program, increase seek effects with predictive research and relevancy rating, and use kept facts from previous searches to offer clients a customized adventure. This functional ebook makes a speciality of Elasticsearch's leisure API through HTTP. Code snippets are written usually in bash utilizing cURL, so they are simply translatable to different languages.

What's Inside

  • What is a smart seek application?
  • Building scalable seek solutions
  • Using Elasticsearch with any language
  • Configuration and tuning

About the Reader

For builders and directors construction and dealing with search-oriented applications.

About the Authors

Radu Gheorghe is a seek advisor and software program engineer. Matthew Lee Hinman develops hugely to be had, cloud-based platforms. Roy Russo is a expert in predictive analytics.

Table of Contents

  • Introducing Elasticsearch
  • Diving into the functionality
  • Indexing, updating, and deleting data
  • Searching your data
  • Analyzing your data
  • Searching with relevancy
  • Exploring your facts with aggregations
  • Relations between documents
  • Scaling out
  • Improving performance
  • Administering your cluster
  • Show description

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    56109595, "total": 1, "hits": { "hits": [ { "_id": "110", "_index": "get-together", "_score": zero. 56109595, "_type": "event", "_source": { "attendees": [ approved to Thomas Snead Combining queries or compound queries 107 "Andy", "Michael", "Ben", "David" ], "date": "2013-07-31T18:00", "description": "Discussion in regards to the Microsoft Azure cloud and HDInsight. ", "host": "Andy", "location": { "geolocation": "40. 018528,-105. 275806", "name": "Bing Boulder place of work" }, "title": "Big facts and the cloud at Microsoft" ➥ ➥ } } ], }, "timed_out": fake, "took": sixty seven } four. three. 2 bool clear out The filter out model of the bool question acts virtually precisely just like the question model, yet rather than combining queries, it combines filters. The clear out an identical of the former instance is proven within the following directory. directory four. 21 Combining filters with the bool clear out % curl 'localhost:9200/get-together/_search' -d' { "query": { "filtered": { "query": { "match_all": {} }, "filter": { "bool": { "must": [ { "term": { "attendees": "david" } } ], "should": [ { "term": { "attendees": "clint" } }, { "term": { "attendees": "andy" approved to Thomas Snead 108 bankruptcy four looking your information } } ], "must_not": [ { "range" :{ "date": { "lt": "2013-06-30T00:00" } } } ] } } } } }' As you observed within the bool question (listing four. 20), the minimum_should_match atmosphere of the question model enables you to specify the minimal variety of may still clauses that experience to check for a consequence to be lower back. In directory four. 21, the default price of one is used; the bool filter out doesn't help this estate. enhancing THE BOOL question The supplied bool question is somewhat contrived, however it contains all 3 of the bool question innovations: needs to, should still, and must_not. you'll rewrite this bool question in of venture- ter shape like this: % curl 'localhost:9200/get-together/_search' -d' { "query": { "bool": { "must": [ { "term": { "attendees": "david" } }, { "range" :{ "date": { "gte": "2013-06-30T00:00" } } }, { "terms": { "attendees": ["clint", "andy"] } } ] } } }'... similar effects because the past question ... gte stands for more than or equivalent to. authorized to Thomas Snead Beyond fit and clear out queries 109 notice that this question is smaller than the former question. through inverting the diversity question from lt (less than) to gte (greater than or equivalent to), you could circulation it from the must_not part to the needs to part. it's also possible to cave in the 2 separate should still queries right into a unmarried phrases question rather than time period queries. you can now substitute the minimum_should_match of one and the should still clause via relocating the phrases question into the needs to clause in addition. Elasticsearch has a versatile question language, so don’t be afraid to scan with how queries are shaped as you’re sending them to Elasticsearch! With the bool question and filter out lower than your belt, you could mix any variety of queries and filters. we will be able to now go back to the opposite forms of queries that Elasticsearch helps. concerning the time period question, yet what if you would like Elasticsearch to research the knowledge you’re sending it?

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