Apache Solr^™ 9.7.0

Solr Features

Solr is a standalone enterprise search server with a REST-like API. You put documents in it (called "indexing") via JSON, XML, CSV or binary over HTTP. You query it via HTTP GET and receive JSON, XML, CSV or binary results.

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!

More Features

Everything but the kitchen sink.

Solr uses the Lucene search library and extends it.

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.

Detailed Features

Data Handling

Schema or schemaless, easily define the field types, analysis processes and document structures to make your search application successful

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

Solr
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Guide Docs, Fields & Schema Design

Detailed Features

Query

HTTP interfaces with flexible IO formats and extensive query parsing support make adding and finding data a snap

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

Solr
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Guide Searching

Detailed Features

Facets

Slice and dice your data six ways from Sunday

Detailed Features

Discovery

Clustering, spellchecking, auto-complete and more make it easy to help users discover content

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

Detailed Features

Plugins and Extensions

Open source and well-documented make Solr highly extensible

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!

How to contribute

Detailed Features

Statistics and Aggregations

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

Solr
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Guide The Stats Component

Detailed Features

Spatial

Location-aware search using advanced spatial integrations

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

Solr
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Guide Spatial Search

Detailed Features

Rich Content

Your Data, your way. PDF, Word, Powerpoint and more

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

Solr
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Guide Indexing & Basic Data Operations

Detailed Features

Performance

Proven time and time again in world-class organizations, Solr performs and scales to handle the most demanding applications

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

Solr
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Guide The Well-Configured Solr Instance

Detailed Features

Scaling

Highly scalable, fault tolerant distributed infrastructure built on Apache Zookeeper

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

Solr
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Guide SolrCloud

Detailed Features

Admin Interface

A rich and powerful User Interface enables deep insight into Solr's state all without anything extra to install

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
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Guide Using the Solr Admin UI

Solr Features

Advanced Full-Text Search Capabilities

Optimized for High Volume Traffic

Standards Based Open Interfaces - XML, JSON and HTTP

Comprehensive Administration Interfaces

Easy Monitoring

Highly Scalable and Fault Tolerant

Flexible and Adaptable with easy configuration

Near Real-Time Indexing

Extensible Plugin Architecture

Everything but the kitchen sink.

Schema when you want, schemaless when you don't

Powerful Extensions

Faceted Search and Filtering

Geospatial Search

Advanced Configurable Text Analysis

Highly Configurable and User Extensible Caching

Performance Optimizations

Security built right in

Advanced Storage Options

Monitorable Logging

Query Suggestions, Spelling and More

Your Data, Your Way!

Rich Document Parsing

Multiple search indices

Data Handling

Query

Facets

Discovery

Plugins and Extensions

Statistics and Aggregations

Spatial

Rich Content

Performance

Scaling

Admin Interface