Time for action - looking at a field using the Schema browser in the web interface
by Alfredo Serafini
Apache Solr Beginner's Guide
- Apache Solr Beginner's Guide
- Table of Contents
- Apache Solr Beginner's Guide
- Credits
- About the Author
- Acknowledgments
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. Getting Ready with the Essentials
- Understanding Solr
- Learning the powerful aspects of Solr
- Working with Java installation
- Installing and testing Solr
- Time for action – starting Solr for the first time
- Time for action – posting some example data
- Time for action – testing Solr with cURL
- Who uses Solr?
- Resources on Solr
- How will we use Solr?
- Summary
- 2. Indexing with Local PDF Files
- Understanding and using an index
- Posting example documents to the first Solr core
- Time for action – configuring Solr Home and Solr core discovery
- Time for action – writing a simple solrconfig.xml file
- Time for action – writing a simple schema.xml file
- Time for action – starting the new core
- Time for action – defining an example document
- Time for action – indexing an example document with cURL
- Time for action – updating an existing document
- Time for action – cleaning an index
- Creating an index prototype from PDF files
- Time for action – defining the schema.xml file with only dynamic fields and tokenization
- Time for action – writing a simple solrconfig.xml file with an update handler
- Time for action – using Tika and cURL to extract text from PDFs
- Time for action – finding copies of the same files with deduplication
- Time for action – looking inside an index with SimpleTextCodec
- Understanding the structure of an inverted index
- Writing the full configuration for our PDF index example
- Summarizing some easy recipes for the maintenance of an index
- Summary
- 3. Indexing Example Data from DBpedia – Paintings
- Harvesting paintings' data from DBpedia
- Analyzing the entities that we want to index
- Writing Solr core configurations for the first tests
- Time for action – defining the basic solrconfig.xml file
- Time for action – defining the simple schema.xml file
- Time for action – listing all the fields with the CSV output
- Defining a new Solr core for our Painting entity
- Time for action – refactoring the schema.xml file for the paintings core by introducing tokenization and stop words
- Collecting the paintings data from DBpedia
- Testing our paintings core
- Time for action - looking at a field using the Schema browser in the web interface
- Time for action – searching the new data in the paintings core
- Summary
- 4. Searching the Example Data
- Looking at Solr's standard query parameters
- Time for action – searching for all documents with pagination
- Time for action – projecting fields with fl
- Time for action – adding a custom DocTransformer to hide empty fields in the results
- Time for action – searching for terms with a Boolean query
- Time for action – using q.op for the default Boolean operator
- Time for action – selecting documents with the filter query
- Time for action – searching for incomplete terms with the wildcard query
- Time for action – using the Boost options
- Time for action – searching for similar terms with fuzzy search
- Time for action – writing a simple phrase query example
- Time for action – playing with range queries
- Time for action – sorting documents with the sort parameter
- Time for action – adding a default parameter to a handler
- Time for action – enabling XSLT Response Writer with Luke
- Summary
- 5. Extending Search
- Looking at different search parsers – Lucene, Dismax, and Edismax
- Time for action – inspecting results using the stats and debug components
- Time for action – debugging a query with the Lucene parser
- Time for action – debugging a query with the Dismax parser
- Time for action – executing a nested Edismax query
- A short list of search components
- Time for action – executing a simple pseudo-join query
- Time for action – generating highlighted snippets over a term
- Some idea about geolocalization with Solr
- Time for action – creating a repository of cities
- Time for action – expanding the original data with coordinates during the update process
- Performing editorial correction on boosting
- Introducing the spellcheck component
- Time for action – playing with spellchecks
- Summary
- 6. Using Faceted Search – from Searching to Finding
- Exploring documents suggestion and matching with faceted search
- Time for action – prototyping an auto-suggester with facets
- Time for action – creating wordclouds on facets to view and analyze data
- Thinking about faceted search and findability
- Time for action – defining facets over enumerated fields
- Performing data normalization for the keyword field during the update phase
- Time for action – finding interesting topics using faceting on tokenized fields with a filter query
- Using filter queries for caching filters
- Time for action – finding interesting subjects using a facet query
- Time for action – using range queries and facet range queries
- Time for action – using a hierarchical facet (pivot)
- Introducing group and field collapsing
- Time for action – grouping results
- Playing with terms
- Time for action – playing with a term suggester
- Time for action – having a look at the term vectors
- Introducing the More Like This component and recommendations
- Time for action – obtaining similar documents by More Like This
- Summary
- 7. Working with Multiple Entities, Multicores, and Distributed Search
- Working with multiple entities
- Time for action – searching for cities using multiple core joins
- Using sharding for distributed search
- Time for action – playing with sharding (distributed search)
- Time for action – finding a document from any shard
- Collecting some ideas on schemaless versus normalization
- Time for action – testing SolrCloud and Zookeeper locally
- Summary
- 8. Indexing External Data sources
- Stepping further into the real world
- Time for action – indexing data from a database (for example, a blog or an e-commerce website)
- Time for action – handling sub-entities (for example, joins on complex data)
- Time for action – indexing incrementally using delta imports
- Time for action – indexing CSV (for example, open data)
- Time for action – importing Solr XML document files
- Time for action – indexing rich documents (for example, PDF)
- Adding more consideration about tuning
- Time for action – indexing artist data from Tate Gallery and DBpedia
- Summary
- 9. Introducing Customizations
- Looking at the Solr customizations
- Playing with specific languages
- Time for action – detecting language with Tika and LangDetect
- Introducing stemming for query expansion
- Time for action – adopting a stemmer
- Following an example plugin lifecycle
- Time for action – writing a new ResponseWriter plugin with the Thymeleaf library
- Using Maven for development
- Time for action – integrating Stanford NER for Named Entity extraction
- Summary
- A. Solr Clients and Integrations
- Introducing SolrJ – an embedded or remote Solr client using the Java (JVM) API
- Time for action – playing with an embedded Solr instance
- Choosing between an embedded or remote Solr instance
- Time for action – playing with an external HttpSolrServer
- Time for action – using Bean Scripting Framework and JavaScript
- Writing Solr clients and integrations outside JVM
- Summary
- B. Pop Quiz Answers
- Chapter 1, Getting Ready with the Essentials
- Chapter 2, Indexing with Local PDF Files
- Chapter 3, Indexing Example Data from DBpedia – Paintings
- Chapter 4, Searching the Example Data
- Chapter 5, Extending Search
- Chapter 6, Using Faceted Search – from Searching to Finding
- Chapter 7, Working with Multiple Entities, Multicores, and Distributed Search
- Chapter 8, Indexing External Data sources
- Chapter 9, Introducing Customizations
- Appendix, Solr Clients and Integrations
- Index
Here, we can play with the web interface, select our core, and choose Schema browser in order to have a visual summary of the different elements of a field in our schema. For example, the field artist shown in the following screenshot:
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