GitHub user dongjoon-hyun opened a pull request:

    https://github.com/apache/spark/pull/13486

    [SPARK-15743][SQL] Prevent saving with all-column partitioning

    ## What changes were proposed in this pull request?
    
    When saving datasets on storage, `partitionBy` provides an easy way to 
construct the directory structure. However, if a user choose all columns as 
partition columns, some exceptions occurs.
    
    - **ORC with all column partitioning**: `AnalysisException` on **future 
read** due to schema inference failure.
     ```
    scala> 
spark.range(10).write.format("orc").mode("overwrite").partitionBy("id").save("/tmp/data")
                                                                                
    
    scala> spark.read.format("orc").load("/tmp/data").collect()
    org.apache.spark.sql.AnalysisException: Unable to infer schema for ORC at 
/tmp/data. It must be specified manually;
    ```
    
    - **Parquet with all-column partitioning**: `InvalidSchemaException` on 
**write execution** due to Parquet limitation.
     ```
    scala> 
spark.range(100).write.format("parquet").mode("overwrite").partitionBy("id").save("/tmp/data")
    [Stage 0:>                                                          (0 + 8) 
/ 8]16/06/02 16:51:17
    ERROR Utils: Aborting task
    org.apache.parquet.schema.InvalidSchemaException: A group type can not be 
empty. Parquet does not support empty group without leaves. Empty group: 
spark_schema
    ... (lots of error messages)
    ```
    
    Although some formats like JSON support all-column partitioning without any 
problem, it seems not a good idea to make lots of empty directories. 
    
    This PR prevents saving with all-column partitioning by consistently 
raising `AnalysisException` before saving. 
    
    ## How was this patch tested?
    
    Newly added `PartitioningUtilsSuite`.

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/dongjoon-hyun/spark SPARK-15743

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/spark/pull/13486.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #13486
    
----
commit bb97467dba96604d26d45763f4115152640ff189
Author: Dongjoon Hyun <dongj...@apache.org>
Date:   2016-06-02T23:14:50Z

    [SPARK-15743][SQL] Prevent saving with all-column partitioning

----


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