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5 changes: 3 additions & 2 deletions docs/sql-programming-guide.md
Original file line number Diff line number Diff line change
Expand Up @@ -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 file sources (including Text/CSV/JSON/ORC/Parquet)
are able to discover and infer partitioning information automatically.
For example, we can store all our previously used
population data into a partitioned table using the following directory structure, with two extra
columns, `gender` and `country` as partitioning columns:

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