senthh commented on pull request #34272:
URL: https://github.com/apache/spark/pull/34272#issuecomment-942172376
And for Timestamp scenario
SQL:
create table timestamp_test(id int(11), time_stamp timestamp not null
default current_timestamp);
SPARK:
scala> val df =
spark.read.format("jdbc").option("database","Test_DB").option("user",
"root").option("password", "").option("driver",
"com.mysql.cj.jdbc.Driver").option("url",
"jdbc:mysql://localhost:3306/Test_DB").option("dbtable",
"timestamp_test").load()
df: org.apache.spark.sql.DataFrame = [id: int, time_stamp: timestamp]
scala> df.printSchema()
root
|-- id: integer (nullable = true)
|-- time_stamp: timestamp (nullable = true)
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