[jira] [Created] (SPARK-44354) Cannot create dataframe with CharType/VarcharType column

["Kai-Michael Roesner (Jira)" <ji...@apache.org>]

Kai-Michael Roesner created SPARK-44354:
-------------------------------------------

             Summary: Cannot create dataframe with CharType/VarcharType column
                 Key: SPARK-44354
                 URL: https://issues.apache.org/jira/browse/SPARK-44354
             Project: Spark
          Issue Type: Bug
          Components: PySpark
    Affects Versions: 3.4.0
            Reporter: Kai-Michael Roesner


When trying to create a dataframe with a CharType or VarcharType column like so:
{code}
from datetime import date
from decimal import Decimal
from pyspark.sql import SparkSession
from pyspark.sql.types import *

data = [
  (1, 'abc', Decimal(3.142), date(2023, 1, 1)),
  (2, 'bcd', Decimal(1.414), date(2023, 1, 2)),
  (3, 'cde', Decimal(2.718), date(2023, 1, 3))]

schema = StructType([
  StructField('INT', IntegerType()),
  StructField('STR', CharType(3)),
  StructField('DEC', DecimalType(4, 3)),
  StructField('DAT', DateType())])

spark = SparkSession.builder.appName('data-types').getOrCreate()
df = spark.createDataFrame(data, schema)
df.show()
{code}
a {{java.lang.IllegalStateException}} is thrown [here|https://github.com/apache/spark/blame/85e252e8503534009f4fb5ea005d44c9eda31447/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala#L168]
I'm expecting this to work...



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