Haejoon Lee created SPARK-42679:
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Summary: createDataFrame doesn't work with non-nullable schema.
Key: SPARK-42679
URL: https://issues.apache.org/jira/browse/SPARK-42679
Project: Spark
Issue Type: Bug
Components: Connect
Affects Versions: 3.4.0
Reporter: Haejoon Lee
spark.createDataFrame won't work with non-nullable schema as below:
{code:java}
from pyspark.sql.types import *
schema_false = StructType([StructField("id", IntegerType(), False)])
spark.createDataFrame([[1]], schema=schema_false)
Traceback (most recent call last):
...
pyspark.errors.exceptions.connect.AnalysisException: [NULLABLE_COLUMN_OR_FIELD]
Column or field `id` is nullable while it's required to be non-nullable.{code}
whereas it works fine with nullable schema:
{code:java}
schema_true = StructType([StructField("id", IntegerType(), True)])
spark.createDataFrame([[1]], schema=schema_true)
DataFrame[id: int]{code}
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