lucene/solr/example/films

We have a movie data set in JSON, Solr XML, and CSV formats.
All 3 formats contain the same data.  You can use any one format to index documents to Solr.

The data is fetched from Freebase and the data license is present in the films-LICENSE.txt file.

This data consists of the following fields -
 * "id" - unique identifier for the movie
 * "name" - Name of the movie
 * "directed_by" - The person(s) who directed the making of the film
 * "initial_release_date" - The earliest official initial film screening date in any country
 * "genre" - The genre(s) that the movie belongs to

 Steps:
   * Start Solr:
       bin/solr start

   * Create a "films" core
       bin/solr create_core -n films -c data_driven_schema_configs

   * Set the schema on a couple of fields that Solr would otherwise guess differently about:
curl http://localhost:8983/solr/films/schema/fields -X POST -H 'Content-type:application/json' --data-binary '
[
    {
        "name":"name",
        "type":"text_general",
        "stored":true
    },
    {
        "name":"initial_release_date",
        "type":"tdate",
        "stored":true
    }
]'

   * Now let's index the data, using one of these three commands:

     - JSON: bin/post films example/films/films.json
     - XML: bin/post films example/films/films.xml
     - CSV: bin/post films example/films/films.csv "params=f.genre.split=true&f.directed_by.split=true&f.genre.separator=|&f.directed_by.separator=|"

   * Let's get searching.
     - Search for 'Batman':
       http://localhost:8983/solr/films/query?q=name:batman

       * If you get an error about the name field not existing, you haven't yet indexed the data
       * If you don't get an error, but zero results, chances are that the _name_ field schema type override wasn't set
         before indexing the data the first time.  It's easiest to simply reset the environment and try again, ensuring
         that each step successfully executes.

     - Show me all 'Super hero' movies:
       http://localhost:8983/solr/films/query?q=*:*&fq=genre:%22Superhero%20movie%22

     - Let's see the distribution of genres across all the movies. See the facet section for the counts:
       http://localhost:8983/solr/films/query?q=*:*&facet=true&facet.field=genre

     - Browse the indexed films in a traditional browser search interface:
       http://localhost:8983/solr/films/browse

       Now browse including the genre field as a facet:
       http://localhost:8983/solr/films/browse?facet.field=genre

Exploring the data further - 

  * Increase the MAX_ITERATIONS value, put in your freebase API_KEY and run the film_data_generator.py script using Python 3.
    Now re-index Solr with the new data.

FAQ:
  Why override the schema of the _name_ and _initial_release_date_ fields?

     Without overriding those field types, the _name_ field would have been guessed as a multi-valued string field type
     and _initial_release_date_ would have been guessed as a multi-valued tdate type.  It makes more sense in our application
     to have the movie name be a single valued general full-text searchable field, and for the release date also to be single valued.

  How do I clear and reset my environment?

     bin/solr stop
     rm -Rf server/solr/films/
     # then start from the beginning of the instructions to start fresh