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https://issues.apache.org/jira/browse/SPARK-42679?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun closed SPARK-42679.
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> createDataFrame doesn't work with non-nullable schema.
> ------------------------------------------------------
>
> Key: SPARK-42679
> URL: https://issues.apache.org/jira/browse/SPARK-42679
> Project: Spark
> Issue Type: Sub-task
> Components: Connect
> Affects Versions: 3.4.0
> Reporter: Haejoon Lee
> Priority: Major
> Fix For: 3.4.1
>
>
> 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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