anchor.diff:  <4> Create an external table named `solr`, and provide the field names and field types that will make up the table. These will be the same field names as in your local Hive table, so we can index all of the same data to Solr.
   <5> Define the custom storage handler provided by the `{packageUser}-hive-serde-{connectorVersion}.jar`.
   <6> Define storage location in HDFS.
  -<7> Define the location of Solr (or ZooKeeper if using SolrCloud), the collection in Solr to index the data to, and the query to use when reading the table. This example also refers to a JAAS configuration file that will be used to authenticate to the Kerberized Solr cluster.
  +<7> The query to run in Solr to read records from Solr for use in Hive.
  +<8> Define the location of Solr (or ZooKeeper if using SolrCloud), the collection in Solr to index the data to, and the query to use when reading the table. This example also refers to a JAAS configuration file that will be used to authenticate to the Kerberized Solr cluster.
   
   // end::example-hive[]
   // end::using-serde[]
  
positive.code: // end::query-hive[]
  
  // tag::example-hive[]
  == Example Hive Table
  Solr includes a small number of sample documents for use when getting started. One of these is a CSV file containing book metadata. This file is found in your Solr installation, at `$SOLR_HOME/example/exampledocs/books.csv`.
  
  Using the sample `books.csv` file, we can see a detailed example of creating a table, loading data to it, and indexing that data to Solr.
  
negative.code: :packageUser: solr
  :connectorVersion: 2.2.5
  
  = Hive SerDe
  
  