dcoliversun commented on issue #5102:
URL:
https://github.com/apache/incubator-gluten/issues/5102#issuecomment-2031026597
@rui-mo cast date as timestamp is ok. I will update this pr soon.
```shell
scala> val df1 = spark.sql("select cast(dateColumn as timestamp) from view")
df1: org.apache.spark.sql.DataFrame = [dateColumn: timestamp]
scala> df1.explain
== Physical Plan ==
VeloxColumnarToRowExec
+- ^(3) ProjectExecTransformer [cast(dateColumn#0 as timestamp) AS
dateColumn#10]
+- ^(3) NativeFileScan parquet [dateColumn#0] Batched: true, DataFilters:
[], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/opt/data],
PartitionFilters: [], PushedFilters: [], ReadSchema: struct<dateColumn:date>
scala> df1.show
+-------------------+
| dateColumn|
+-------------------+
|2023-01-01 00:00:00|
|2023-01-03 00:00:00|
|2023-01-02 00:00:00|
+-------------------+
scala> df1.schema
res5: org.apache.spark.sql.types.StructType =
StructType(StructField(dateColumn,TimestampType,true))
```
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