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

Query

• HTTP interface with configurable response formats (XML/XSLT, JSON, Python, Ruby, PHP, Velocity, CSV, binary)
• Sort by any number of fields, and by complex functions of numeric fields
• Advanced DisMax query parser for high relevancy results from user-entered queries
• Highlighted context snippets
• Faceted Searching based on unique field values, explicit queries, date ranges, numeric ranges or pivot

Core

• Dynamically create and delete document collections without restarting
• Pluggable query handlers and extensible XML data format
• Pluggable user functions for Function Query
• Customizable component based request handler with distributed search support
• Document uniqueness enforcement based on unique key field

Caching

• Configurable Query Result, Filter, and Document cache instances
• Pluggable Cache implementations, including a lock free, high concurrency implementation
• Cache warming in background
• Fast/small filter implementation
• User level caching with autowarming support

SolrCloud

• Centralized Apache ZooKeeper based configuration
• Automated distributed indexing/sharding - send documents to any node and it will be forwarded to correct shard
• Near Real-Time indexing with immediate push-based replication (also support for slower pull-based replication)
• Transaction log ensures no updates are lost even if the documents are not yet indexed to disk

Admin Interface

• Comprehensive statistics on cache utilization, updates, and queries
• Interactive schema browser that includes index statistics
• Replication monitoring
• SolrCloud dashboard with graphical cluster node status
• Full logging control
• Text analysis debugger, showing result of every stage in an analyzer