Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/15266#discussion_r81465775
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
---
@@ -159,8 +159,9 @@ case class DataSourceAnalysis(conf: CatalystConf)
extends Rule[LogicalPlan] {
case i @ logical.InsertIntoTable(
- l @ LogicalRelation(t: HadoopFsRelation, _, _), part, query,
overwrite, false)
- if query.resolved && t.schema.asNullable ==
query.schema.asNullable =>
--- End diff --
Did an investigation. For the struct type, we store the nested schema in
the data type. Thus, after we cast the data type of struct, we also copy the
schema at the same time.
Below is the explained plan of the example I just added.
```
== Analyzed Logical Plan ==
InsertIntoHadoopFsRelationCommand
file:/Users/xiaoli/IdeaProjects/sparkDelivery/spark-warehouse/tab2,
ParquetFormat, <function0>, Map(path ->
file:/Users/xiaoli/IdeaProjects/sparkDelivery/spark-warehouse/tab2), Append
+- Project [cast(s#36 as struct<c:string,d:string>) AS p#40]
+- Project [s#36]
+- SubqueryAlias tab1
+- Relation[s#36] parquet
```
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