j7nhai opened a new issue, #8673:
URL: https://github.com/apache/incubator-gluten/issues/8673
### Backend
VL (Velox)
### Bug description
Expected to collect column stats of column, but we found that stat
timestamp column is missing.
with setting `spark.gluten.sql.native.writer.enabled=true`, we write a
parquet file.
```scala
import org.apache.spark.sql.{SparkSession, Row}
import org.apache.spark.sql.types.{StructType, StructField, TimestampType}
import java.sql.Timestamp
val data = Seq(
Row(Timestamp.valueOf("2022-01-01 00:00:00")),
Row(Timestamp.valueOf("2022-01-02 00:00:00"))
)
val schema = List(
StructField("timestamp", TimestampType, true)
)
val df = spark.createDataFrame(
spark.sparkContext.parallelize(data),
StructType(schema)
)
df.show()
df.coalesce(1).write.mode("overwrite").parquet("/data/test_parquet")
```
Then we find a parquet file
```
part-00000-3d1e02c1-9fea-4203-a423-019dfc0d9f6d-c000.snappy.parquet
```
however the timestamp stat is not collected.
```scala
import org.apache.hadoop.conf.Configuration
import org.apache.hadoop.fs.Path
import org.apache.parquet.hadoop.ParquetFileReader
import org.apache.parquet.hadoop.util.HadoopInputFile
import scala.collection.JavaConverters._
val conf = new Configuration()
val path = new
Path("/data/test_parquet/part-00000-3d1e02c1-9fea-4203-a423-019dfc0d9f6d-c000.snappy.parquet")
val file = HadoopInputFile.fromPath(path, conf)
val reader = ParquetFileReader.open(file)
val group = reader.getRowGroups.asScala.head
val columns = group.getColumns.asScala
columns.foreach(c => println(c.getStatistics))
```
the output is
```
no stats for this column
```
<img width="730" alt="Image"
src="https://github.com/user-attachments/assets/1c3cd7a3-26e6-4d58-a1d6-a9362b7814f9";
/>
### Spark version
None
### Spark configurations
_No response_
### System information
_No response_
### Relevant logs
```bash
```
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