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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