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It provides a wonderful ready-to-deploy service to build a search box featuring autocomplete, which Lucene doesn’t provide. Unlike Lucene, you don’t need to have Java programming skills while working with Apache Solr. Text-Centric and Sorted by Relevance − Solr is mostly used to search text documents and the results are delivered according to the relevance with the user’s query in order. Highly Scalable − While using Solr with Hadoop, we can scale its capacity by adding replicas.
#Solr suggester example update#
NoSQL database − Solr can also be used as big data scale NOSQL database where we can distribute the search tasks along a cluster.Īdmin 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.
#Solr suggester example full#
CSV and get results in the same file formats.įull text search − Solr provides all the capabilities needed for a full text search such as tokens, phrases, spell check, wildcard, and auto-complete.Įnterprise 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.įlexible and Extensible − By extending the Java classes and configuring accordingly, we can customize the components of Solr easily.
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We enter documents in Solr in file formats like XML, JSON and. Instead you can use restful services to communicate with it. Restful APIs − To communicate with Solr, it is not mandatory to have Java programming skills.
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Let us take a look at some of most prominent features of Solr − Therefore, using Solr, you can leverage all the features of Lucene. In short, Solr is a scalable, ready to deploy, search/storage engine optimized to search large volumes of text-centric data. Like other NoSQL databases, it is a non-relational data storage and processing technology. Not only search, Solr can also be used for storage purpose. As Hadoop handles a large amount of data, Solr helps us in finding the required information from such a large source. Its latest version, Solr 6.0, was released in 2016 with support for execution of parallel SQL queries. In Jan 2006, it was made an open-source project under Apache Software Foundation. It was Yonik Seely who created Solr in 2004 in order to add search capabilities to the company website of CNET Networks. The applications built using Solr are sophisticated and deliver high performance. Solr is enterprise-ready, fast and highly scalable. It was built on top of Lucene (full text search engine). Solr is an open-source search platform which is used to build search applications.