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:
Common Query Parameters: No matter the query parser, there are several parameters that are common to all of them.
The Standard Query Parser: Detailed information about the standard Lucene query parser.
The DisMax Query Parser: Detailed information about Solr’s DisMax query parser.
The Extended DisMax Query Parser: Detailed information about Solr’s Extended DisMax (eDisMax) Query Parser.
Function Queries: Detailed information about parameters for generating relevancy scores using values from one or more numeric fields.
Local Parameters in Queries: How to add local arguments to queries.
Other Parsers: More parsers designed for use in specific situations.
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.
Learning To Rank: How to use LTR to run machine learned ranking models in Solr.
Transforming Result Documents: Detailed information about using
DocTransformersto 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.