• By Achin Gupta
  • In Tech
  • Posted September 1, 2017
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Solr is an open-source search platform which is used to build search applications. It was built on top of Lucene (full-text search engine). Solr is enterprise-ready, fast and highly scalable. The applications built using Solr are sophisticated and deliver high performance.

Solr can be used along with Hadoop.  Hadoop handles a large amount of data, Solr helps us in finding the required information from such a large source. Not only search, Solr can also be used for storage purpose. Like other NoSQL databases, it is a non-relational data storage and processing technology.

In short, Solr is a scalable, ready to deploy, search/storage engine optimized to search large volumes of text-centric data.

Features of Apache Solr

Solr is a wrap around Lucene’s Java API. Therefore, using Solr, you can leverage all the features of Lucene. Let us take a look at some of the most prominent features of Solr −

  • Restful APIs − To communicate with Solr, it is not mandatory to have Java programming skills. Instead, you can use restful services to communicate with it. We enter documents in Solr in file formats like XML, JSON and.CSV and get results in the same file formats.
  • Full-text search − It provides capabilities needed for a full-text search such as tokens, phrases, spell check, wildcard, and auto-complete.
  • Enterprise ready − According to the need of the organization, Solr can be deployed in any kind of systems. They can be big or small such as stand-alone, distributed, cloud, etc.
  • Flexible and Extensible − By extending the Java classes and configuring accordingly, we can customize the components of Solr easily.
  • NoSQL database − Solr can also be used as big data scale NoSQL database. Here we can distribute the search tasks along a cluster.
  • Admin Interface − Solr provides an easy-to-use, user-friendly, feature powered, user interface. We can perform all the possible tasks such as manage logs, add, delete, update and search documents.
  • Highly Scalable − While using Solr with Hadoop, we can scale its capacity by adding replicas.
  • Text-Centric and Sorted by Relevance − Solr is mostly used to search text documents. the results are delivered according to the relevance with the user’s query in order.

Apache Solr provides a wonderful ready-to-deploy service to build a search box featuring auto-complete, which similar technology doesn’t provide. Using Solr, we can scale, distribute, and manage index, for large-scale (Big Data) applications.

The Layman’s Verdict: SOLR has reached such a stage that the only things left to perform via it are MIRACLES. Apache Lucene and the other open-source contributors have worked hard to develop a workspace for you that lets you do numerous things. Come have a look at the generous offering and capabilities.

 

Reference  : https://www.tutorialspoint.com

Achin Gupta


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