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Posted to issues@spark.apache.org by "Haejoon Lee (Jira)" <ji...@apache.org> on 2023/03/06 07:01:00 UTC

[jira] [Created] (SPARK-42679) createDataFrame doesn't work with non-nullable schema.

Haejoon Lee created SPARK-42679:
-----------------------------------

             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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