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https://issues.apache.org/jira/browse/SPARK-41817?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-41817:
------------------------------------

    Assignee: Apache Spark

> SparkSession.read support reading with schema
> ---------------------------------------------
>
>                 Key: SPARK-41817
>                 URL: https://issues.apache.org/jira/browse/SPARK-41817
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Connect
>    Affects Versions: 3.4.0
>            Reporter: Sandeep Singh
>            Assignee: Apache Spark
>            Priority: Major
>
> {code:java}
> File 
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/readwriter.py", 
> line 122, in pyspark.sql.connect.readwriter.DataFrameReader.load
> Failed example:
>     with tempfile.TemporaryDirectory() as d:
>         # Write a DataFrame into a CSV file with a header
>         df = spark.createDataFrame([{"age": 100, "name": "Hyukjin Kwon"}])
>         df.write.option("header", 
> True).mode("overwrite").format("csv").save(d)
>         # Read the CSV file as a DataFrame with 'nullValue' option set to 
> 'Hyukjin Kwon',
>         # and 'header' option set to `True`.
>         df = spark.read.load(
>             d, schema=df.schema, format="csv", nullValue="Hyukjin Kwon", 
> header=True)
>         df.printSchema()
>         df.show()
> Exception raised:
>     Traceback (most recent call last):
>       File 
> "/usr/local/Cellar/python@3.10/3.10.8/Frameworks/Python.framework/Versions/3.10/lib/python3.10/doctest.py",
>  line 1350, in __run
>         exec(compile(example.source, filename, "single",
>       File "<doctest 
> pyspark.sql.connect.readwriter.DataFrameReader.load[1]>", line 10, in <module>
>         df.printSchema()
>       File 
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", 
> line 1039, in printSchema
>         print(self._tree_string())
>       File 
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", 
> line 1035, in _tree_string
>         query = self._plan.to_proto(self._session.client)
>       File 
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/plan.py", line 
> 92, in to_proto
>         plan.root.CopyFrom(self.plan(session))
>       File 
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/plan.py", line 
> 245, in plan
>         plan.read.data_source.schema = self.schema
>     TypeError: bad argument type for built-in operation {code}



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