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https://issues.apache.org/jira/browse/SPARK-24583?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li resolved SPARK-24583.
-----------------------------
Resolution: Fixed
Assignee: Maryann Xue
Fix Version/s: 2.3.2
> Wrong schema type in InsertIntoDataSourceCommand
> ------------------------------------------------
>
> Key: SPARK-24583
> URL: https://issues.apache.org/jira/browse/SPARK-24583
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.0
> Reporter: Maryann Xue
> Assignee: Maryann Xue
> Priority: Major
> Fix For: 2.3.2, 2.4.0
>
>
> For a DataSource table, whose schema contains a field with "nullable=false",
> while user tries to insert a NULL value into this field, the input dataFrame
> will return an incorrect value or throw NullPointerException. And that's
> because, the schema nullability of the input relation has been overridden
> bluntly with the destination schema by the code below in
> {{InsertIntoDataSourceCommand}}:
> {code:java}
> override def run(sparkSession: SparkSession): Seq[Row] = {
> val relation = logicalRelation.relation.asInstanceOf[InsertableRelation]
> val data = Dataset.ofRows(sparkSession, query)
> // Apply the schema of the existing table to the new data.
> val df = sparkSession.internalCreateDataFrame(data.queryExecution.toRdd,
> logicalRelation.schema)
> relation.insert(df, overwrite)
> // Re-cache all cached plans(including this relation itself, if it's
> cached) that refer to this
> // data source relation.
> sparkSession.sharedState.cacheManager.recacheByPlan(sparkSession,
> logicalRelation)
> Seq.empty[Row]
> }
> {code}
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