What you need for this book
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
The Getting started section in Chapter 1, Quick Starting Solr, explains what you need in detail. In summary, you should obtain:
- Java 8, a JDK release. Java 7 is fine too. Support for Java 6 was last available in Solr 4.7. More information on this is in Chapter 1, Quick Starting Solr.
- Apache Solr 4.8.1 is officially the version of Solr this book was written for. Nonetheless, some of the features are discussed or referenced in the later versions of Solr as far as 5.0. In fact, Chapter 1, Quick Starting Solr, orients you to Solr 5, which has a different first-impression experience than its predecessor. Once you get Solr running, you should be able to follow along easily with Solr 5. In Chapter 10, Scaling Solr, there are some SolrCloud startup commands that are a little different, and we've pointed out how they change. The only substantial topic not covered in this book that evolved through the Solr 4 point releases is data-driven schemaless mode, and HTTP API calls to make schema changes.
- The code supplement to the book. It's not essential, but you'll want it to try some of the examples or to experiment with a sizable amount of real data. See the Downloading the example code section.
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