The Lucene query syntax
by Matt Mitchell, Kranti Parisa, Eric Pugh, David Smiley
Apache Solr Enterprise Search Server - Third Edition
- Apache Solr Enterprise Search ServerThird Edition
- Table of Contents
- Apache Solr Enterprise Search Server Third Edition
- Credits
- About the Authors
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. Quick Starting Solr
- 2. Schema Design
- Is Solr schemaless?
- MusicBrainz.org
- One combined index or separate indices
- Schema design
- The schema.xml file
- Summary
- 3. Text Analysis
- 4. Indexing Data
- Communicating with Solr
- Solr's Update-XML format
- Commit, optimize, and rollback the transaction log
- Atomic updates and optimistic concurrency
- Sending CSV-formatted data to Solr
- The DataImportHandler framework
- Indexing documents with Solr Cell
- Update request processors
- Summary
- 5. Searching
- Your first search – a walk-through
- Solr's generic XML structured data representation
- Solr's XML response format
- Understanding request handlers
- Query parameters
- Query parsers and local-params
- Query syntax (the lucene query parser)
- The DisMax query parser – part 1
- Filtering
- Sorting
- Joining
- Spatial search
- Summary
- 6. Search Relevancy
- 7. Faceting
- 8. Search Components
- About components
- The highlight component
- The SpellCheck component
- Query complete/suggest
- The QueryElevation component
- The MoreLikeThis component
- The Stats component
- The Clustering component
- Collapsing and expanding
- The TermVector component
- Summary
- 9. Integrating Solr
- Working with the included examples
- Solritas – the integrated search UI
- SolrJ – Solr's Java client API
- Using JavaScript/AJAX with Solr
- Using XSLT to transform XML search results
- Accessing Solr from PHP applications
- Ruby on Rails integrations
- Nutch for crawling web pages
- Solr and Hadoop
- ManifoldCF – a connector framework
- Document-level security
- Summary
- 10. Scaling Solr
- Tuning complex systems is hard
- Use SolrMeter to test Solr performance
- Optimizing a single Solr server – scale up
- Configuring Solr for near real-time search
- Use SolrCloud to go big – scale wide
- Summary
- 11. Deployment
- A. Quick Reference
- Index
Lucene query syntax, covered in Chapter 5, Searching, has the following Boolean operators: AND, OR, NOT, &&, and ||with leading + or -. Here is an example:
{!lucene df=title q.op=$myop} "phrase query slop"~2 w?ldcard* fuzzzy~0.7 -(updatedAt:[* TO NOW/DAY-2YEAR] +boostMe^5)-
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