Github user HyukjinKwon commented on a diff in the pull request:

    https://github.com/apache/spark/pull/15540#discussion_r83995294
  
    --- Diff: docs/sql-programming-guide.md ---
    @@ -421,9 +421,10 @@ In the simplest form, the default data source 
(`parquet` unless otherwise config
     
     You can also manually specify the data source that will be used along with 
any extra options
     that you would like to pass to the data source. Data sources are specified 
by their fully qualified
    -name (i.e., `org.apache.spark.sql.parquet`), but for built-in sources you 
can also use their short
    -names (`json`, `parquet`, `jdbc`, `orc`, `libsvm`, `csv`, `text`). 
DataFrames loaded from any data
    -source type can be converted into other types using this syntax.
    +name (i.e., `org.apache.spark.sql.parquet`) or short name specified in
    +`DataSourceRegister.shortName()` in their implementation. For built-in 
sources you can use their
    --- End diff --
    
    Makes sense. Thank you for your quick response.


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