Search page with elasticsearch and dot net

Part – II Building A Search Page with Elasticsearch and .NET

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Search index population

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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

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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

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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

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Installation and configuration of Elasticsearch are very easy.

The default configuration choices are just right to start working with. Elasticsearch doesn’t need a schema file and reveals a friendly JSON-based HTTP API for its configuration, indexpopulation, 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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