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https://issues.apache.org/jira/browse/SPARK-33920?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17255481#comment-17255481
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Abdul Rafay Abdul Rafay commented on SPARK-33920:
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[~viirya] you're right and I know Scala API uses Scala reflection to infer the
schema of the given Product. But where I want to assign a datatype explicitly
like DecimalType or FloatType to a dataframe created from a static sequence of
rows, it creates a problem there, however, in the case of pyspark it does not
> We cannot pass schema to a createDataFrame function in scala, however we can
> do this in python.
> -----------------------------------------------------------------------------------------------
>
> Key: SPARK-33920
> URL: https://issues.apache.org/jira/browse/SPARK-33920
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.0.1
> Reporter: Abdul Rafay Abdul Rafay
> Priority: Major
> Original Estimate: 168h
> Remaining Estimate: 168h
>
> ~spark.createDataFrame(data, schema)~
> ~I am able to pass schema as a parameter to a function createDataFrame in
> python but cannot pass this in scala for static data.~
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