Quick start with Solr5 search engine advanced tutorial for data mining

Quick Start Advanced Tutorial of Solr5 Search Engine for Data Mining

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r28s High performance, developed in Java, full-text search server based on Lucene. At the same time, it has been expanded to provide a richer query language than Lucene, and at the same time, it is configurable, scalable, and optimized for query performance, and provides a complete function management interface. It is a very good Full text search engine.

This tutorial starts with the most basic solr syntax, selects the latest and most popular open source search engine service framework solr5.3.1, and uses Tomcat8 to build a solr cluster service; this tutorial can help students quickly get started with solr development and secondary development, Included in the hadoop cluster is the utilization, indexing and real-time retrieval of massive data, and guide students how to integrate solr into the project through steps such as understanding, learning, installation, configuration, and integration.

Outline -
1. Solr Basics:
Lecture 1: Introduction to Solr5.
Lecture 2: Schema
of Solr5 Lecture 3: Solrconfig of Solr5 Lecture
4: Solr5 Standalone Installation and Configuration Lecture
5 : Solrj Basics (1)
Sixth Lecture: Solrj Basics (2)
Lecture 7: SolrBean of Solrj Lecture
8: Detailed Solrj
Syntax Lecture 9: Multicore Query of Solrj
Lecture 10: Solr Cluster Installation and Configuration (1)
Lecture 11: Solr Cluster Installation and Configuration (2)
Lecture 12: Basic
Concepts of SolrCloud Lecture 13: Solrj Operation SolrCloud

II, Solr Advanced Part:
Lecture 14: Solr Index Master-Slave Synchronization Lecture
15 : Solr's Facet
Lecture 16: Solr's FacetPivot Lecture
17: Solr's Group
Lecture 18: Solr Highlighting Lecture
19 : Solr's MoreLikeThis
Lecture 20: Solr's dataimport
Lecture 21 : Introduction to IK word
segmentation Lecture 22: IK word segmentation source code analysis Lecture 23: IK and Solr integration
Lecture 24: IK dynamic vocabulary loading Lecture 26: Compare the actual project to see the index design Lecture 27: Compare the actual project to see the directory tree implementation Lecture 28: Compare the actual project to the implementation of commodity screening : Comparison of the actual project to see the realization of commodity search