Solr Search Usage and Benefits
Apache Solr is a fast open-source Java search server. Solr enables to easily create search engines which searches websites, databases, and files.
The following list shows how various companies are using Solr search right now:
Solr Search has been adopted by some major logos, including the following:
FEATURES AND HIGHLIGHTS
· PAGINATION AND SORTING
Solr is optimized to serve paginated requests where only the top N documents are returned on the first page that results in more quick response as each request only returns a small subset of the entire search results
Solr faceting is one of the more popular and powerful features available in Solr. Faceting provides users with tools to refine their search criteria and discover more information by categorizing search results into sub-groups using facets.
· Auto SUGGEST
Solr’s auto-suggest features allows a user to start typing a few characters and receive a list of suggested queries as they type. This reduces the number of incorrect queries, particularly because many users may be searching from a mobile device with small keyboards.
· Spell checker
Solr can make the spell correction automatically based on whether the misspelled term exists in the index. Solr can return a suggested query that might produce better results as hint can be shown to users -s “Did you mean highlands?” if they typed in “hilands.”
· Geospatial search
Solr has built-in support for indexing latitude and longitude values as well as sorting or ranking documents by geographical distance. Solr can find and sort documents by a distance from a geo-location (latitude and longitude).
· Multilingual SUPPORT
Solr has language detection built-in and provides language-specific text analysis solutions for many languages.
· Hit highlighting
Solr’s hit-highlighting feature enables user to display specific sections of each document when the document have a significant amount of text. Most useful for longer format documents, hit highlighting helps users find relevant documents by highlighting sections of search results that match the user’s query. Sections are generated dynamically based on their similarity to the query.
Benefits with Solr search:
· Performance improvements
Solr is written in Java, hence text comparison is much faster as solr is specifically
written for indexing, result comparison, and full-text searching.
Solr can be set up on a different server from Apache/MySQL installations and queried against remotely as it uses REST interface. This allows search capabilities to scale independently from web/database servers.
Faceting is the ability to categorize content using a variety of different properties. On e-commerce store, it restricts results to a given manufacturer, price range, etc. This is particularly useful for content that has a lot of metadata associated with it (lots of taxonomy terms or fields for example).
Solr search have the ability to score results based on a number of parameters, both at the time of indexing and at the time of the search.
User have a site that provides some content for free, and some content for pay and user want to prioritize the paid content so that it gets an extra “boost” and tends to appear at the top of the search results.
Solr has the ability to handle misspellings and homophones, proximity search using latitude/longitude coordinates. Hence solr can be configured for any specific type of search also.