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Posted to issues@spark.apache.org by "Nicholas Chammas (JIRA)" <ji...@apache.org> on 2016/05/06 21:28:12 UTC

[jira] [Created] (SPARK-15191) createDataFrame() should mark fields that are known not to be null as not nullable

Nicholas Chammas created SPARK-15191:
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             Summary: createDataFrame() should mark fields that are known not to be null as not nullable
                 Key: SPARK-15191
                 URL: https://issues.apache.org/jira/browse/SPARK-15191
             Project: Spark
          Issue Type: Improvement
          Components: PySpark, SQL
            Reporter: Nicholas Chammas
            Priority: Minor


Here's a brief reproduction:

{code}
>>> numbers = sqlContext.createDataFrame(
...     data=[(1,), (2,), (3,), (4,), (5,)],
...     samplingRatio=1  # go through all the data please!
... )
>>> numbers.printSchema()
root
 |-- _1: long (nullable = true)
{code}

The field is marked as nullable even though none of the data is null and we had {{createDataFrame()}} go through all the data.

In situations like this, shouldn't {{createDataFrame()}} return a DataFrame with the field marked as not nullable?



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