Searching

This section describes how Solr works with search requests. It covers the following topics:

  • Overview of Searching in Solr: An introduction to searching with Solr.
  • Velocity Search UI: A simple search UI using the VelocityResponseWriter.
  • Relevance: Conceptual information about understanding relevance in search results.
  • Query Syntax and Parsing: A brief conceptual overview of query syntax and parsing. It also contains the following sub-sections:
  • JSON Request API: Overview of Solr’s JSON Request API.
    • JSON Query DSL: Detailed information about a simple yet powerful query language for JSON Request API.
  • JSON Facet API: Overview of Solr’s JSON Facet API.
  • Faceting: Detailed information about categorizing search results based on indexed terms.
  • Highlighting: Detailed information about Solr’s highlighting capabilities, including multiple underlying highlighter implementations.
  • Spell Checking: Detailed information about Solr’s spelling checker.
  • Query Re-Ranking: Detailed information about re-ranking top scoring documents from simple queries using more complex scores.
  • Transforming Result Documents: Detailed information about using DocTransformers to add computed information to individual documents
  • Searching Nested Documents: Detailed information about constructing nested and hierarchical queries.
  • Suggester: Detailed information about Solr’s powerful autosuggest component.
  • MoreLikeThis: Detailed information about Solr’s similar results query component.
  • Pagination of Results: Detailed information about fetching paginated results for display in a UI, or for fetching all documents matching a query.
  • Result Grouping: Detailed information about grouping results based on common field values.
  • Result Clustering: Detailed information about grouping search results based on cluster analysis applied to text fields. A bit like "unsupervised" faceting.
  • Spatial Search: How to use Solr’s spatial search capabilities.
  • The Terms Component: Detailed information about accessing indexed terms and the documents that include them.
  • The Term Vector Component: How to get term information about specific documents.
  • The Stats Component: How to return information from numeric fields within a document set.
  • The Query Elevation Component: How to force documents to the top of the results for certain queries.
  • The Tagger Handler: The SolrTextTagger, for basic named entity tagging in text.
  • Response Writers: Detailed information about configuring and using Solr’s response writers.
  • Near Real Time Searching: How to include documents in search results nearly immediately after they are indexed.
  • RealTime Get: How to get the latest version of a document without opening a searcher.
  • Exporting Result Sets: Functionality to export large result sets out of Solr.
  • Parallel SQL Interface: An interface for sending SQL statements to Solr, and using advanced parallel query processing and relational algebra for complex data analysis.
  • The Analytics Component: A framework to compute complex analytics over a result set.