Apache Solr Training
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Course Information
Apache Solr Training
Duration: 25 Hours
Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)
Training Method: Instructor Led Online One-on-One Live Interactive
Sessions.
COURSE CONTENT :
Introduction to Apache Solr
- What is Solr?
- History and evolution of Solr
- Key features and components
Solr Architecture
- Solr’s core concepts (solr.xml, schema.xml, and solrconfig.xml)
- Solr servers and collections
- Indexing, searching, and querying
- Distributed Solr (SolrCloud)
Installing and Configuring Solr
- System requirements and installation steps
- Configuration files and directory structure
- Setting up Solr on a single node vs. SolrCloud
Indexing in Solr
- Data formats (XML, JSON, CSV)
- Indexing strategies and best practices
- Importing data (using DataImportHandler)
- Updating documents and managing indexes
- Field types and schema design
Querying Solr
- Query syntax (Basic queries, Lucene query syntax)
- Solr query parameters
- Full-text search, faceting, filtering, and sorting
- Handling complex queries (Boolean, phrase queries, wildcards)
- Pagination and highlighting search results
Solr Schema and Field Types
- Schema design and field type mapping
- Field analysis and tokenization
- Custom analyzers, filters, and character filters
- Multilingual indexing support
Faceting and Aggregation
- Faceting types (field, range, query, etc.)
- Pivot faceting and hierarchical faceting
- Using stats and grouping for aggregation
SolrCloud: Distributed Solr
- Setting up SolrCloud clusters
- Sharding and replication
- Fault tolerance and high availability
- Managing and monitoring SolrCloud
Performance Tuning and Optimization
- Query performance optimization
- Indexing performance tuning
- Caching mechanisms (filter cache, document cache, etc.)
- Load balancing and replication strategies
Solr Security
- Authentication and authorization
- Securing Solr with SSL
- Setting up access controls (Role-based access control)
Monitoring and Troubleshooting
- Using Solr’s Admin UI for monitoring
- Logging and debugging Solr issues
- Metrics and diagnostic tools
- Scaling Solr for large datasets
Integrating Solr with Other Systems
- Integration with web frameworks (e.g., Apache Nutch, Spring)
- Using Solr with Hadoop for Big Data
- API access (RESTful API, JSON, and XML APIs)