This section describes how Solr works with search requests. It covers the following topics:
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Overview of Searching in Solr: An introduction to searching with Solr.
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Velocity Search UI: A simple search UI using the VelocityResponseWriter.
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Relevance: Conceptual information about understanding relevance in search results.
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Query Syntax and Parsing: A brief conceptual overview of query syntax and parsing. It also contains the following sub-sections:
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Common Query Parameters: No matter the query parser, there are several parameters that are common to all of them.
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The Standard Query Parser: Detailed information about the standard Lucene query parser.
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The DisMax Query Parser: Detailed information about Solr’s DisMax query parser.
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The Extended DisMax Query Parser: Detailed information about Solr’s Extended DisMax (eDisMax) Query Parser.
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Function Queries: Detailed information about parameters for generating relevancy scores using values from one or more numeric fields.
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Local Parameters in Queries: How to add local arguments to queries.
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Other Parsers: More parsers designed for use in specific situations.
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JSON Request API: Overview of Solr’s JSON Request API.
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JSON Query DSL: Detailed information about a simple yet powerful query language for JSON Request API.
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JSON Facet API: Overview of Solr’s JSON Facet API.
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Faceting: Detailed information about categorizing search results based on indexed terms.
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Highlighting: Detailed information about Solr’s highlighting capabilities, including multiple underlying highlighter implementations.
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Spell Checking: Detailed information about Solr’s spelling checker.
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Query Re-Ranking: Detailed information about re-ranking top scoring documents from simple queries using more complex scores.
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Learning To Rank: How to use LTR to run machine learned ranking models in Solr.
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Transforming Result Documents: Detailed information about using
DocTransformersto add computed information to individual documents -
Suggester: Detailed information about Solr’s powerful autosuggest component.
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MoreLikeThis: Detailed information about Solr’s similar results query component.
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Pagination of Results: Detailed information about fetching paginated results for display in a UI, or for fetching all documents matching a query.
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Result Grouping: Detailed information about grouping results based on common field values.
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Result Clustering: Detailed information about grouping search results based on cluster analysis applied to text fields. A bit like "unsupervised" faceting.
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Spatial Search: How to use Solr’s spatial search capabilities.
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The Terms Component: Detailed information about accessing indexed terms and the documents that include them.
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The Term Vector Component: How to get term information about specific documents.
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The Stats Component: How to return information from numeric fields within a document set.
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The Query Elevation Component: How to force documents to the top of the results for certain queries.
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The Tagger Handler: The SolrTextTagger, for basic named entity tagging in text.
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Response Writers: Detailed information about configuring and using Solr’s response writers.
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Near Real Time Searching: How to include documents in search results nearly immediately after they are indexed.
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RealTime Get: How to get the latest version of a document without opening a searcher.
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Exporting Result Sets: Functionality to export large result sets out of Solr.
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Streaming Expressions: A stream processing language for Solr, with a suite of functions to perform many types of queries and parallel execution tasks.
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Parallel SQL Interface: An interface for sending SQL statements to Solr, and using advanced parallel query processing and relational algebra for complex data analysis.
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The Analytics Component: A framework to compute complex analytics over a result set.