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

["Apache Spark (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-42679?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17697412#comment-17697412 ] 

Apache Spark commented on SPARK-42679:
--------------------------------------

User 'panbingkun' has created a pull request for this issue:
https://github.com/apache/spark/pull/40316

> 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
>
> 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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