[英]Convert DataFrame String colum to Timestamp
I am trying the following code to convert a string date column to a timestamp column:我正在尝试以下代码将字符串日期列转换为时间戳列:
val df = Seq(
("19-APR-2019 10:11:10"),
("19-MAR-2019 10:11:10"),
("19-FEB-2019 10:11:10")
).toDF("date")
.withColumn("new_date", to_utc_timestamp(to_date('date, "dd-MMM-yyyy hh:mm:ss"), "UTC"))
df.show
It almost works but it lost hours它几乎可以工作,但它失去了几个小时
+--------------------+-------------------+
| date| new_date|
+--------------------+-------------------+
|19-APR-2019 10:11:10|2019-04-19 00:00:00|
|19-MAR-2019 10:11:10|2019-03-19 00:00:00|
|19-FEB-2019 10:11:10|2019-02-19 00:00:00|
+--------------------+-------------------+
Do you have any idea or any other solution?您有任何想法或任何其他解决方案吗?
as SMaz mentioned in comment, followings lines do the tick:正如 SMaz 在评论中提到的那样,以下几行打勾:
import org.apache.sql.functions.to_timestamp
df.withColumn("new_date", to_timestamp('date, "dd-MMM-yyyy hh:mm:ss"))
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