Building A Search Page with Elasticsearch and .NET- II

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Part II Building A Search Page with
Elasticsearch and .NET
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Search index population

• Elasticsearch is completely document-oriented and
  it stores entire documents in its index. But you
  need to to create a client to communicate with
  Elasticsearch.
• Elasticsearch is known to dynamically resolve the
  document type and its fields at index time,one
  can override field mappings or use features on
  fields in order to give more advanced usages. In
  the below example we decorated our POCO class
  with some features so we need to develop mappings
  with AutoMap.

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Full text search

• The search method will perform the multi-match
  query against user input. The multi-match query
  is useful while running the query against
  multiple fields. By using this, we can see how
  relevant the Elasticsearch results are with the
  default configuration.
• First, you require calling the Query method that
  is a container for any specific query we want to
  perform. Next, call the MultiMatch method which
  calls the Query method with the actual search
  phrase as a parameter and a list of fields that
  you want to search against. In our context, these
  are Title, Body, and Tags.

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How to group by tags

• Once the search returns results, we would group
  them by tags so that users can refine their
  search. In order to cluster group result as
  categories, we use the bucket aggregations. They
  allow as to compose bucket of documents which
  falls into given criteria or not. As we want to
  cluster by tags, which is a text field, we will
  use the term aggregations.
• It commands Elasticsearch to neither analyze nor
  process the input and to find the field. It would
  not change unit-testing tag to unit and
  testing etc.
• Now, extending the search result class with a
  dictionary containing the tag name and the number
  of posts designed with this tag.

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• One of the features that are frequently used in
  search forms is autocompleted.
• Searching big sets of text data by only a few
  characters is not an easy task. Elasticsearch
  provides us completion suggester which works on a
  special field that is recorded in a way that
  helps very fast searching.
• You need to decide which field or fields you want
  to autocomplete to act on and what results will
  be suggested. Elasticsearch enables to define
  both input and output.

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Summary

• Installation and configuration of Elasticsearch
  are very easy. The default configuration choices
  are just right to start working with.
  Elasticsearch doesnt need a schema file and
  reveals a friendly JSON-based HTTP API for its
  configuration, index-population, and searching.
  The engine is optimized to work with a large
  amount of data.
• You need a high-level .NET client to communicate
  with Elasticsearch so it fits nicely in .NET
  project.
• Elasticsearch is an advanced search engine with
  many attributes and its own query DSL.

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Thank You....!
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