rdblue commented on issue #1170:
URL: https://github.com/apache/iceberg/issues/1170#issuecomment-654392625


   For partitioning, are you talking about DDL support or working with tables?
   
   When reading a table, the engine works with only the table columns. When 
writing, the engine needs to partition data into files correctly, but that 
configuration comes from Iceberg and it is not exposed through SQL. The purpose 
is to maintain a separation between the logical data and the physical layout.
   
   The only limitation Flink should have is what it can express in DDL 
statements. If you support Hive-like syntax with `PARTITIONED BY`, then Flink 
would only support creating tables with identity partitions. But there is no 
need to actually restrict what tables it can write to.


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