ElasticSearch is credited to achieve fast search responses because it searches an index instead of searching the context directly.ElasticSearch is credited to achieve fast search responses because it searches an index instead of searching the context directly. For more information on dot net visit : www.crbtech.in

1. How to Build A Search Page With
ElasticSearch and .Net

2. ElasticSearch is credited to achieve fast search responses because it
searches an index instead of searching the context directly.
Very much like retrieving pages in a book related to a word by scanning
the index at the back of a book, as instead of searching every word in
every page of the book.
This type of index is known as the inverted index because it inverts a
page-centric data structure (page->words) to a keyword-centric data
structure (word->pages).
This uses Apache Lucene to create and manage this inverted index.

3. NEST
To interact with Elasticsearch, NEST 2.3.0 is used which is one of two
official .NET clients for Elasticsearch. NEST is a high-level client which
tracks closely to Elasticsearch API. All the request and response objects
are mapped. NEST provides the alternatives of either a syntax for
creating queries, which resembles the structure of raw JSON requests to
API, or the use of object initializer syntax.
In order to build a web page, use Single Page Application (SPA)
approach with AngularJS as MVVM framework. The client side will send
AJAX requests to ASP.NET Web API 2. The Web API 2 controller will use
NEST to communicate with Elasticsearch.

4. Installation of Elasticsearch
Visit the web page, download an installer, unzip it and install in the
mentioned three simple steps. It exposes an HTTP API so it is easy to
use cURL to make requests but its recommended to use Sense which is
Chrome extension. The Elasticsearch reference contains samples in a
format called cURL.
Although Elasticsearch is able to resolve the document type and its
fields at index time, field mappings can be override or use attributes on
fields in order to give for more advanced usages.
In this example, the POCO class is decorated with some attributes so
we need to create mappings with AutoMap.

5. After defining our mappings and created an index, we can seed it with
documents. Elasticsearch does not give any handler to import specific
file formats such as XML or CSV, but because it has client libraries for
different languages, it is easy to build your own importer. As
StackOverflow dump is in XML format, use .NET XmlReader class to
read question rows, map them to an instance of Post and add objects to
the collection.
With this we conclude for today, stay connected with us for further
discussion on this in our next article.
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