Enhance Your Career With SOLR Training -MindMajix

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.

It was Yonik Seely who created Solr in 2004 in order to add search capabilities to the company website of CNET Networks. In Jan 2006, it was made an open-source project under Apache Software Foundation. Its latest version, Solr 6.0, was released in 2016 with support for execution of parallel SQL queries.

Solr can be used along with Hadoop. As 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 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: Solr provides all the 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 (big or small) such as standalone, 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 where we· can distribute the search tasks along a cluster.

 Admin Interface: Solr provides an easy-to-use, user friendly, feature powered, user· interface, using which we can perform all the possible tasks such as manage logs, add, delete, update and search documents.

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