Last updated
Kurskod
solrdev
Varaktighet
21 timmar (vanligtvis 3 dag inklusive pauser)
Krav
All attendees should be experienced technical staff with a background in web application operations and, preferably, development.
Lab environment:
Amazon EC2 servers will be provided students for installation, administration and lab work. Students would need an SSH client and a browser to access the cluster.
Zero Install : There is no need to install Solr software on students’ machines! (although it is possible)
Översikt
Denna kurs introducerar studenter till Solr-plattformen. Genom en kombination av föreläsningar, diskussioner och laborationer får eleverna erfarenhet av att konfigurera effektiv sökning och indexering.
Klassen börjar med grundläggande Solr-installation och konfiguration och lär ut deltagarna sökfunktionerna i Solr. Studenterna får erfarenhet av facettering, indexering och sökrelevans bland andra funktioner som är centrala för Solr-plattformen. Kursen innehåller ett antal avancerade ämnen inklusive stavningskontroll, förslag, Multicore och SolrCloud.
Varaktighet : 3 dagar
Publik : Utvecklare, affärsanvändare, administratörer
Kursplan
Overall Goal
Provide experienced web developers and technical staff with a comprehensive introduction to the Solr search platform. Teach software developer deep skills creating search solutions.
I. Fundamentals
- Solr Overview
- Installing and running Solr
- Adding content to Solr
- Reading a Solr XML response
- Changing parameters in the URL
- Using the browse interface
- Labs: install Solr, run queries
II. Searching
- Sorting results
- Query parsers
- More queries
- Hardwiring request parameters
- Adding fields to default search
- Faceting
- Result grouping
- Labs: advanced queries, experiment with faceted search
III. Indexing
- Adding your own content to Solr
- Deleting data from solr
- Building a bookstore search
- Adding book data
- Exploring the book data
- Dedupe update processor
- Labs: indexing various document collections
IV. Schema Updating
- Adding fields to the schema
- Analyzing text
- Labs: customize Solr schema
V. Relevance
- Field weighting
- Phrase queries
- Function queries
- Fuzzier search
- Sounds-like
- Labs: implementing queries for relevance
VI. Extended features
- More-like-this
- Geospatial
- Spell checking
- Suggestions
- Highlighting
- Pseudo-fields
- Pseudo-joins
- Multilanguage
- Labs: implementing spell checking and suggestions
VII. Multicore
- Adding more kinds of data
- Labs: creating and administering cores
VIII. SolrCloud
- Introduction
- How SolrCloud works
- Commit strategies
- ZooKeeper
- Managing Solr config files
- Labs: administer SolrCloud
IX. Developing with Solr API
- Talking to Solr through REST
- Configuration
- Indexing and searching
- Solr and Spring
- Labs: code to read and write Solr index, exercise in Spring with Solr
X. Developing with Lucene API
- Building a Lucene index
- Searching, viewing, debugging
- Extracting text with Tika
- Scaling Lucene indices on clusters
- Lucene performance tuning
- Labs: coding with Lucene
XI. Conclusion
- Other approaches to search
- ElasticSearch
- DataStax Enterprise: Solr+Cassandra
- Cloudera Solr integration
- Blur
- Future directions
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