[GitHub] spark pull request #19139: [MINOR][DOC] Update `Partition Discovery` section...

[gatorsmile <gi...@git.apache.org>]

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

    https://github.com/apache/spark/pull/19139#discussion_r137112679
  
    --- Diff: docs/sql-programming-guide.md ---
    @@ -733,8 +733,9 @@ SELECT * FROM parquetTable
     
     Table partitioning is a common optimization approach used in systems like Hive. In a partitioned
     table, data are usually stored in different directories, with partitioning column values encoded in
    -the path of each partition directory. The Parquet data source is now able to discover and infer
    -partitioning information automatically. For example, we can store all our previously used
    +the path of each partition directory. All built-in data sources (including TEXT/CSV/JSON/ORC/Parquet)
    --- End diff --
    
    `data sources` -> `file sources`
    `TEXT` -> `Text`
    
    



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