[
https://issues.apache.org/jira/browse/SPARK-42679?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17699271#comment-17699271
]
Apache Spark commented on SPARK-42679:
--------------------------------------
User 'ueshin' has created a pull request for this issue:
https://github.com/apache/spark/pull/40382
> 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}
>
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
