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https://issues.apache.org/jira/browse/SPARK-35912?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon resolved SPARK-35912.
----------------------------------
Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 33436
[https://github.com/apache/spark/pull/33436]
> [SQL] JSON read behavior is different depending on the cache setting when
> nullable is false.
> --------------------------------------------------------------------------------------------
>
> Key: SPARK-35912
> URL: https://issues.apache.org/jira/browse/SPARK-35912
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.1.1
> Reporter: Heedo Lee
> Assignee: Fu Chen
> Priority: Minor
> Fix For: 3.3.0
>
>
> Below is the reproduced code.
>
> {code:java}
> import org.apache.spark.sql.Encoders
>
> case class TestSchema(x: Int, y: Int)
> case class BaseSchema(value: TestSchema)
>
> val schema = Encoders.product[BaseSchema].schema
> val testDS = Seq("""{"value":{"x":1}}""", """{"value":{"x":2}}""").toDS
> val jsonDS = spark.read.schema(schema).json(testDS)
> jsonDS.show
> +---------+
> | value|
> +---------+
> |{1, null}|
> |{2, null}|
> +---------+
> jsonDS.cache.show
> +------+
> | value|
> +------+
> |{1, 0}|
> |{2, 0}|
> +------+
> {code}
>
> The above result occurs when a schema is created with a nested StructType and
> nullable of StructField is false.
>
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