--- title: Apache Solr Features for TYPO3 – Overview of the features url: "https://www.typo3-solr.com/what-is-solr/features/" description: Solr is a standalone enterprise search server with a web-services like API. You put documents in it via XML over HTTP. You query it via HTTP GET and receive XML results. date: 2021-08-30 modified: 2023-01-12 lastUpdated: 2023-01-12 --- # Apache Solr Features for TYPO3 – Overview of the features 1. [Home](https://www.typo3-solr.com/) 2. [What is Solr](https://www.typo3-solr.com/what-is-solr/) 3. Features Apache Solr Features ==================== Solr is a standalone enterprise search server with a web-services like API. You put documents in it (called "indexing") via XML over HTTP. You query it via HTTP GET and receive XML results. ##### Credits Content on this page taken from Standalone enterprise search server ----------------------------------- - Advanced Full-Text Search Capabilities - Optimized for High Volume Web Traffic - Standards Based Open Interfaces - XML and HTTP - Comprehensive HTML Administration Interfaces - Server statistics exposed over JMX for monitoring - Scalability - Efficient Replication to other Solr Search Servers - Flexible and Adaptable with XML configuration - Extensible Plugin Architecture Solr uses the Lucene Search Library and extends it! --------------------------------------------------- - A Real Data Schema, with Numeric Types, Dynamic Fields, Unique Keys - Powerful Extensions to the Lucene Query Language - Support for Dynamic Faceted Browsing and Filtering - Advanced, Configurable Text Analysis - Highly Configurable and User Extensible Caching - Performance Optimizations - External Configuration via XML - An Administration Interface - Monitorable Logging - Fast Incremental Updates and Snapshot Distribution - Distributed search with shared index on multiple hosts - XML and CSV/delimited-text update formats - Easy ways to pull in data from databases and XML files from local disk and HTTP sources - Multiple search indices Detailed Features Schema ------------------------ - Defines the field types and fields of documents - Can drive more intelligent processing - Declarative Lucene Analyzer specification - Dynamic Fields enables on-the-fly addition of new fields - CopyField functionality allows indexing a single field multiple ways, or combining multiple fields into a single searchable field - Explicit types eliminates the need for guessing types of fields - External file-based configuration of stopword lists, synonym lists, and protected word lists - Many additional text analysis components including word splitting, regex and sounds-like filters Query ----- - HTTP interface with configurable response formats (XML/XSLT, JSON, Python, Ruby) - Sort by any number of fields - Advanced DisMax query parser for high relevancy results from user-entered queries - Highlighted context snippets - Faceted Searching based on unique field values and explicit queries - Spelling suggestions for user queries - More Like This suggestions for given document - Constant scoring range and prefix queries - no idf, coord, or lengthNorm factors, and no restriction on the number of terms the query matches. - Function Query - influence the score by a function of a field's numeric value or ordinal - Date Math - specify dates relative to "NOW" in queries and updates - Performance Optimizations Core ---- - Pluggable query handlers and extensible XML data format - Document uniqueness enforcement based on unique key field - Batches updates and deletes for high performance - User configurable commands triggered on index changes - Searcher concurrency control - Correct handling of numeric types for both sorting and range queries - Ability to control where docs with the sort field missing will be placed - "Luke" request handler for corpus information Caching ------- - Configurable Query Result, Filter, and Document cache instances - Pluggable Cache implementations - Cache warming in background - When a new searcher is opened, configurable searches are run against it in order to warm it up to avoid slow first hits. During warming, the current searcher handles live requests. - Autowarming in background - The most recently accessed items in the caches of the current searcher are re-populated in the new searcher, enabing high cache hit rates across index/searcher changes. - Fast/small filter implementation - User level caching with autowarming support Replication ----------- - Efficient distribution of index parts that have changed via rsync transport - Pull strategy allows for easy addition of searchers - Configurable distribution interval allows tradeoff between timeliness and cache utilization Admin Interface --------------- - Comprehensive statistics on cache utilization, updates, and queries - Text analysis debugger, showing result of every stage in an analyzer - Web Query Interface w/ debugging output - parsed query output - Lucene explain() document score detailing - explain score for documents outside of the requested range to debug why a given document wasn't ranked higher.