GitHub - mondok/Solr-Baseball-Stats-Demo: This is a demo application demonstrating how to leverage Apache Solr for basic statistical analysis.

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This is a demo application demonstrating how to leverage Apache Solr for basic statistical analysis.

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Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
Config/conf		Config/conf
Data		Data
Dependencies		Dependencies
SolrCodeCamp.BaseballWeb		SolrCodeCamp.BaseballWeb
SolrCodeCamp.Etl		SolrCodeCamp.Etl
SolrCodeCamp.Shared		SolrCodeCamp.Shared
.gitignore		.gitignore
ApacheSolrWithAspMvc.pptx		ApacheSolrWithAspMvc.pptx
README.txt		README.txt
SolrCodeCamp.sln		SolrCodeCamp.sln

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This code is free to use for both commercial and personal purposes, no attribution necessary.

1.  Download and install Apache Tomcat
	http://tomcat.apache.org/download-60.cgi

2.  Once installed, copy solr.war into the webapps directory in the Tomcat install folder (check Program Files).
	Be sure that Tomcat is currently not running.

3.  Modify your schema.xml file accordingly.

4.  In the Tomcat Monitor tool on the Java tab, add a new option under Java options.  It will look like this:
	-Dsolr.solr.home=C:\Applications\Testing\SolrCodeCamp\Config
	Note that Config directory will contain a secondary folder called "conf" and within that folder will be your solrconfig.xml
	and schema.xml files.  

5.  Start Tomcat.  

6.  If everything works, you'll see the solr.war file exploded into a directory called "solr" within the Tomcat install folder.

7.  Make sure you set the file and Solr paths accordingly within both the SolrCodeCamp.BaseballWeb project and the 
	SolrCodeCamp.Etl project.

8.  Run the ETL project to fill up the index.

9.  Everything should be set!