Advanced Full-Text Search Capabilities
Powered by Lucene™, Solr enables powerful matching capabilities including phrases, wildcards, joins, grouping and much more across any data type
-
-
Optimized for High Volume Traffic
Solr is proven at extremely large scales the world over
-
Standards Based Open Interfaces - XML, JSON and HTTP
Solr uses the tools you use to make application building a snap
-
Comprehensive Administration Interfaces
Solr ships with a built-in, responsive administrative user interface to make it easy to control your Solr instances
-
Easy Monitoring
Need more insight into your instances? Solr publishes loads of metric data via JMX
-
Highly Scalable and Fault Tolerant
Built on the battle-tested Apache Zookeeper, Solr makes it easy to scale up and down. Solr bakes in replication, distribution, rebalancing and fault tolerance out of the box.
-
Flexible and Adaptable with easy configuration
Solr's is designed to adapt to your needs all while simplifying configuration
-
Near Real-Time Indexing
Want to see your updates now? Solr takes advantage of Lucene's Near Real-Time Indexing capabilities to make sure you see your content when you want to see it
-
Extensible Plugin Architecture
Solr publishes many well-defined extension points that make it easy to plugin both index and query time plugins. Of course, since it is Apache-licensed open source, you can change any code you want!
-
Schema when you want, schemaless when you don't
Use Solr's data-driven schemaless mode when getting started and then lock it down when it's time for production.
-
Powerful Extensions
Solr ships with optional plugins for indexing rich content (e.g. PDFs, Word), language detection, search results clustering and more
-
Faceted Search and Filtering
Slice and dice your data as you see fit using a large array of faceting algorithms
-
Geospatial Search
Enabling location-based search is simple with Solr's built-in support for spatial search
-
Advanced Configurable Text Analysis
Solr ships with support for most of the widely spoken languages in the world (English, Chinese, Japanese, German, French and many more) and many other analysis tools designed to make indexing and querying your content as flexible as possible
-
Highly Configurable and User Extensible Caching
Fine-grained controls on Solr's built-in caches make it easy to optimize performance
-
Performance Optimizations
Solr has been tuned to handle the world's largest sites
-
Security built right in
Secure Solr with SSL, Authentication and Role based Authorization. Pluggable, of course!
-
Advanced Storage Options
Building on Lucene's advanced storage capabilities (codecs, directories and more), Solr makes it easy to tune your data storage needs to fit your application
-
Monitorable Logging
Easily access Solr's log files from the admin interface
-
Query Suggestions, Spelling and More
Solr ships with advanced capabilites for auto-complete (typeahead search), spell checking and more
-
Your Data, Your Way!
JSON, CSV, XML and more are supported out of the box. Don't waste precious time converting all your data to a common representation, just send it to Solr!
-
Rich Document Parsing
Solr ships with Apache Tika built-in, making it easy to index rich content such as Adobe PDF, Microsoft Word and more.
-
Multiple search indices
Solr supports multi-tenant architectures, making it easy to isolate users and content.
- Schemaless (data-driven schema) makes it easy to get started, while switching to a configured schema makes for a solid production environment.
Solr supports both schemaless and schema modes, depending on your goals
- Solr's Field Types make it easy to declaratively mix and match Lucene Analyzers without writing code
- char filters edit the text prior to tokenization
- tokenizers break the text up into terms
- token filters transform the terms
- Dynamic Fields enable on-the-fly addition of new fields that auto-map to field types based on the field name
- Easily analyze the same content in different ways using Solr's copy field capabilities
- Explicit types eliminate the need for guessing types of fields and introducing noise
- External file-based configuration of stopword lists, synonym lists, and protected word lists
- Many additional text analysis components including word splitting, regex, stemming and more
- Extensible to allow for applications to easily handle proprietary formats and unsupported data types
- REST interfaces provide for easy integration with any language.
Native clients are also available
- Sort by any number of fields, and by complex functions of numeric fields
Documents with missing values can be configured to sort last (or first)
- Function queries provide powerful relevance tuning capabilities based off of your data
- Advanced relevance tuning options enable applications to fine tune results to fit their demanding needs
- Solr supports multiple approaches to query parsing, making it easy to find your data
Dozens of query types (boolean, phrase, term, numeric, fielded and more) provide incredible power when searching
- Good out of the box defaults make getting great results easy, while extensive configuration options make it easy to fine tune
Request handling can easily be configured to provide server-side control and simplification of how applications request results
- Extensive filtering features allow applications to control what content is searched and when
- Multiple scoring (similarity) approaches allow for easy experimentation and relevance tuning
- Pluggable query parsers mean every application can provide a query interface that makes sense to its users
- Well-defined APIs for capturing document and collection level statistics enable custom similarity models with little effort
- Cursors (aka "deep paging") enables next generation NoSQL data storage and analysis options
- Near Real Time (NRT) search allows access to document addition and updates almost immediately
- Powerful faceting features support grouping and organizing your data in a multitude of ways
- Pivot faceting enables asking sophisticated "what if" questions
- Fine-grained performance controls make it possible to tradeoff competing CPU and memory resources during faceting
- Term, Query, Range, Date and Pivot faceting implementations make data investigation simple and powerful
- Range faceting enables grouping time and numerical content in easy to understand buckets
- Query-based faceting makes it easy to facet by arbitrary queries
- Multi-select facet parameters enable exact control over how facets interact with the original result set
- Typeahead, autocomplete, auto-suggest, whatever you call it, Solr supports powerful and extensible mechanisms for providing suggestions to users as they type in their queries
- Integrated Carrot2 features enable dynamic search results clustering
- Spelling suggestions are a breeze to enable to help users correct their queries for better results
- Configurable hit highlighting helps users focus in on exactly where matches occur
- Plugins for language detection, clustering, data-import, UIMA, Apache Velocity and more provide optional functionality when needed
- Well-defined extension points for indexing, analysis, request handling, query parsing and more make focused extensions easy to write and enable
- An open source and open development approach, enabled by the Apache Software Foundation, make contributions to Solr easy to do
- Don't like how Solr implements something? Found a bug? Check out the code from SVN or Git and make changes as you see fit. Patches welcome!
- Solr supports complex mathematical analysis on result sets, enabling next-generation search-based business intelligence
- Grouping, nesting and other approaches enable applications to represent complex relationships between content types
- Function query results can be returned with hits, and used to sort or boost hits
- Field Statistics can be combined with nested Pivot Faceting
- The stats component can compute min, max, sum, mean, distinct values, and more
- Out of the box support for location-aware search (think mobile search) enables applications to find and filter content based on location
- Extensive support for representing complex spatial data like polygons, lat/lon and more
- Advanced query capabilities allow for bounding box, polygonal and other complex querying capabilities
- Integration with the Java Topological Suite library provides advanced spatial capabilities
- Integration with Apache Tika enables the extraction and processing of rich content types without writing a single line of code
- Data not in JSON? No problem. Solr handles a variety of data types out of the box, including JSON, XML, many Office documents, CSV and more
- Flexible and extensible Input and Output formats allow your application to talk with Solr the way you want to talk to it
- Advanced processing options make it easy to control what extracted content is indexed and how it is indexed
- Well tested defaults provide good performance out of the box with little tuning
- Advanced options give fine grained control over numerous performance aspects
- Powerful single-node and distributed capabilities simplify the process of going from one node to many
- A multitude of smart caching options enable exacting control over repetitive results a breeze
- Always built on the latest and greatest Lucene, Solr takes advantage of numerous Lucene performance enhancements
- Support for codecs, alternate Directory implementations and more provide for advanced performance tuning options
- Add and remove compute capacity as needed, while letting Solr do the dirty work of load balancing and more
- Shard splitting makes it easy to incrementally add capacity without re-indexing your entire content
- Built on tried and true Apache Zookeeper, Solr favors consistency and avoids hairy split brain issues common to other approaches
- Built-in User Interfaces provide deep insight into cluster state
- Advanced transaction log, replication and failover capabilities help minimize data loss while still serving results
- Tested regularly at scale to handle hundreds to thousands of compute nodes and billions of documents with very high query volumes
- Extensive reporting and control interfaces make it easy to understand and alter what is happening in Solr
- Modern, responsive Javascript-based implementation provides instant feedback
- Gain insight into cores, collections, shards and more
- Explore logs, threads and system properties without ever leaving the browser
- Want to explore alternate queries? Try the query interface and instantly explore your data without having to write code
- Explore and debug your data and queries with advanced interfaces for analysis, data exploration and more
- Index content directly from the browser, including rich content via file uploading
- Instantly review key performance metrics right in the browser
Solr
Ref
Guide Docs, Fields & Schema Design
Ref
Guide Docs, Fields & Schema Design
Solr
Ref
Guide Searching
Ref
Guide Searching
Solr
Ref
Guide Faceting
Ref
Guide Faceting
How to contribute
Solr
Ref
Guide The Stats Component
Ref
Guide The Stats Component
Solr
Ref
Guide Spatial Search
Ref
Guide Spatial Search
Solr
Ref
Guide Indexing & Basic Data Operations
Ref
Guide Indexing & Basic Data Operations
Solr
Ref
Guide The Well-Configured Solr Instance
Ref
Guide The Well-Configured Solr Instance
Solr
Ref
Guide SolrCloud
Ref
Guide SolrCloud