sinkinben commented on issue #1237:
URL: https://github.com/apache/orc/issues/1237#issuecomment-1229729122
Hi, @dongjoon-hyun , many thx for you reply.
I have made more tests after I set the conf `spark.sql.orc.impl`.
```shell
scala> :paste
// Entering paste mode (ctrl-D to finish)
val data = Seq(
("", "2002-01-01"),
("", "2022-08-29"),
("", "2022-08-31")
)
val cols = Seq("str", "date_str")
val df=spark.createDataFrame(data).toDF(cols:_*).repartition(1)
df.printSchema()
df.show(100)
df.write.mode("overwrite").orc("/tmp/orc/data.orc")
// Exiting paste mode, now interpreting.
root
|-- str: string (nullable = true)
|-- date_str: string (nullable = true)
+---+----------+
|str| date_str|
+---+----------+
| |2002-01-01|
| |2022-08-29|
| |2022-08-31|
+---+----------+
data: Seq[(String, String)] = List(("",2002-01-01), ("",2022-08-29),
("",2022-08-31))
cols: Seq[String] = List(str, date_str)
df: org.apache.spark.sql.Dataset[org.apache.spark.sql.Row] = [str: string,
date_str: string]
scala> sql("set spark.sql.orc.impl=hive")
res1: org.apache.spark.sql.DataFrame = [key: string, value: string]
scala> var df = spark.read.schema("date_str date").orc("/tmp/orc/data.orc");
df.show()
+--------+
|date_str|
+--------+
| null|
| null|
| null|
+--------+
df: org.apache.spark.sql.DataFrame = [date_str: date]
```
These three cases are valid date, but why are they converted to `null`s?
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