Apache SOLR
An open source platform for searching data stored in HDFS in Hadoop is called Apache Solr. The search and navigation features of Solr powers have many of the world’s biggest internet sites, providing full power text search and real-time indexing. Geo-location, text, tabular or sensor data in Hadoop find it quickly with Apache Solr.
What does SOLR do?
In Apache Solr Hadoop operators put the documents by indexing them via XML, JSON, CSV or binary over HTTP.
HTTP GET seeks petabytes of data by users querying them. JSON, XML, CSV or binary results can be perceived by them. They are optimized for high volume web traffic.
Best features include:
- Standard-based open interfaces lik JSON, XML and HTTP
- Advanced full-text search
- Comprehensive HTML administration interfaces
- Near real-time indexing
- Linearly scalable, auto index replication, auto failover and recovery
- Flexible and adaptable, with XML configuration
- Server statistics exposed over JMX for monitoring
Highly tolerant, reliable, scalble are some of the properties of Solr. The data analysts, developers in the open source community trust shares indexing of SOL’S imitation and load-balanced capabilities for querying.
Working of SOLR:
A Java written SOLR runs as a standalone full-text search server inside a servlet container like Jetty. Apache Lucene Solr uses Java seach library at thec ore for full-text indexing and search with REST-like XML.HTTP and JSON APIs making it easy for use with many programming languages.
A strong configuration of SOLR permits it to shape almost any type of application without Java coding, and it has a plugin architecture which is extensive more advanced customized and is required.
A deployment methodology of setting up cluster of SOLR servers combines fault tolerance and high availability. Distributed indexing is provided by SOLR CLOUD for offering automated fail over for queries in the event of any failure to a SOLR CLOUD server.
- INDEXING AND SEARCHING TEXT WITHIN IMAGES WITH APACHE SOLR
Most of the users provide common request for enabling the index text in image files; for instance, text in scanned PNG files. How to do it with SOLR is what this tutorial is all about. There are some downloads of prerequisites of hortonworks Sandbox finish studying the ropes of the HDP Sandbox tutorial, Step-by-step guide.
- Searching and Indexing documents with Apache Solr
- Customer Sentiment and social media is analyzed with Apache NiFI and HDP search
You can dig Twitter, Facebook and other social media talks for analyzing the customer sentiment about the person and competition. You can be more focused using the Big data, decisions, real-time, etc.
For more information watch the video of how to refine raw data in Twitter using HDP.
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