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https://issues.apache.org/jira/browse/SPARK-38839?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17519798#comment-17519798
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Daniel deCordoba edited comment on SPARK-38839 at 4/8/22 9:04 PM:
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The style got messed up, hopefully it is easy to understand this is the command
that fails:
{code:java}
df = spark.createDataFrame([{"MyStruct":{"MyInt": 10, "MyFloat": 10.1},
"MyFloat": 10.1}])
{code}
was (Author: JIRAUSER287808):
The style got messed up, hopefully it is easy to understand this is the command
that fails:
df = spark.createDataFrame([\{"MyStruct": {"MyInt": 10, "MyFloat": 10.1} ,
"MyFloat": 10.1}])
> Creating a struct with a float inside
> --------------------------------------
>
> Key: SPARK-38839
> URL: https://issues.apache.org/jira/browse/SPARK-38839
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 3.2.1
> Reporter: Daniel deCordoba
> Priority: Minor
>
> When creating a dataframe using createDataFrame that contains a float inside
> a struct, the float is set to null. This only happens if using a list of
> dictionaries as data type, if I use a list of Rows it works fine:
> ```python
> data = [\{"MyStruct": {"MyInt": 10, "MyFloat": 10.1} , "MyFloat": 10.1}]
> spark.createDataFrame(data).show()
> #
> |MyFloat|MyStruct |
> #
> |10.1|{MyInt -> 10, MyFloat -> null}|
> data = [Row(MyStruct=Row(MyInt=10, MyFloat=10.1), MyFloat=10.1)]
> spark.createDataFrame(data).show()
> #
> |MyFloat|MyStruct |
> #
> |10.1 |{MyInt -> 10, MyFloat -> 10.1}|
> ```
> Note MyFloat inside MyStruct is set to null in the first example.
> Interestingly enough, when I do the same with Row, or if I specify the
> schema, then this does not happen (second example).
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