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Apache Training Overview
Solr is an open-source enterprise-search platform, written in Java, from the Apache Lucene project. Its major features include full-text search, hit highlighting, faceted search, real-time indexing, dynamic clustering, database integration, NoSQL features and rich document (e.g., Word, PDF) handling. Providing distributed search and index replication, Solr is designed for scalability and fault tolerance.
This course covers features provided by solr such as searching and indexing It starts with Fundamentals of Search Engine and Apache Lucene. This course provides a comprehensive introduction to Apache Solr.This course has extensive hands on labs and emphasizes learning techniques that can be applied to real world problems.
Apache Training Learning Objectives
After the completion of this course, you should be able to:
- Master the concepts of Apache Lucene and APIs
- Understand Apache Solr
- Learn Indexing and Searching using Solr
- Learn the Advances Features of Solr
- Learn concept of Multicore
- Learn the creation of Multicore
- Understand the need of Multicore
Apache Training Pre-requisites
All attendees should be familiar with :
- Using a command line (console, shell) to execute basic commands
- Developing web applications in Java, PHP, Ruby or similar languages
Apache Training Course duration
4 days
Apache Training Course outline
Unit 1 : Fundamentals of Search Engine and Apache Lucene
- Introduction to Search Engine Basics
- Lucene Overview and Features
- Understanding the inverted index, documents and fields
Unit 2 : Analyzers in Lucene
- Introduction to the various query types
Unit 3 : Exploring Apache Lucene
- Understanding the prerequisites for using Apache Lucene
- Learning about the querying process
- Analyzers
- Scoring boosting
- Faceting
- Grouping
- Highlighting
- Geographical and spatial searches
- Introduction to Apache Tika
Unit 4 : Apache Lucene advanced
- Query Parser in Apache Lucene
- Query Object
- Stopword
Unit 5 : Solr Search Engines
- Solr Introduction
- Key Features , Solr Vs Databases
- Solr Architecture
- Solr Schema
- Solr Field Types & Fields
- Basics of Search Engines amp; Indexing
Unit 6 : Solr Installation and configuration
- Installing and running Solr
- Adding content to Solr
- Reading a Solr XML response
- Changing parameters in the URL
- Using the browse interface
Unit 7 : Searching
- Sorting results
- Query parsers
- More queries
- Hardwiring request parameters
- Adding fields to default search
- Faceting
- Result grouping
Unit 8 : Solr Indexing, Analyzers and Queries
- Introduction To Analysis & Analyzers, Tokenizers & Filters
- Indexing & Index Handlers
- Indexing Options, Nested Documents, Commits, Transaction Logs
- Pipeline extensibility
- Query Syntax, Basic Query Parsers, Extended Query Parsers
Unit 9 : Extended Features
- Geospatial
- Spell checking
- Suggestions
- Highlighting
- Pseudo-fields
- Pseudo-joins
- Multilanguage
Unit 10 : Multicore
- Understanding the concept of Multicore
- The creation of Multicore
- The need of Multicore
- Joining of data
- Replication and Ping Handler
Unit 11 : SolrCloud
- Introduction
- How SolrCloud works
- Commit strategies
- ZooKeeper
- Managing Solr config files
Unit 12 : Solrnet and Customization
- Create solrnet applications
- Understand the customization options available in Solr
- Maintain the solr environments
- Scale-up and scale-down solr environment
- Backup, restore and Error Handling
Unit 13 : Advance Features
- Faceting, Highlighting, Spell Checking, Query Re-Ranking, Suggestions
- Pagination, Grouping, Clustering, Spatial Search, Collapsing & Expanding
- Exporting Results, Real-Time Search & Get, Client APIs
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