It offers greater scalability than SQL Server’s full-text search: After all, Stack Exchange initially grew on SQL Server Full-Text Search, but the limitations of its feature and performance forced them migrate to Elasticsearch for their search requirements. It is currently the most popular search engine. The search page will have following features:Įlasticsearch is an open source search engine, written in Java and based on Lucene. The dump has considerable amount of data (7 million questions) and it is easy for developers to test the relevance of the search results. In order to get more familiar with the way they work, I will show how to build a search page that will query the dump of StackOverflow questions.

This is where search engines come into play. NET developers might now ask: ‘Why would we need other search engines when we are happy with SQL Server’s Full-Text Search feature?’ The answer is that it might be enough for simple searches, but other search engines are a better choice when we need to index and search unstructured data from different sources or when we need custom functionality such as spellchecking, hit-highlighting, autocomplete or advanced scoring. They want their employees and clients to be able to search and analyze it through one user interface.Īt the same time, Internet users, who are used to Google-like search, expect every bespoke search to be as fast and precise: They need autocomplete, they assume that the search tolerates misspellings, and they expect to be able to use filters and many other advanced search features. We need search engines to query and analyse the massive amounts of data that many organizations are required to access: We have no great problem in storing it but how can we then find what we need? Large organizations store many types of structured and unstructured content such as documents in different formats, e-mails, CMS pages or Microsoft Office files. How to Build a Search Page with Elasticsearch and.

How to search a web page for text