如何在pyspark中将日期时间从字符串格式转换为日期时间格式? [英] How to convert datetime from string format into datetime format in pyspark?

问题描述

我使用 sqlContext 创建了一个数据框，但日期时间格式有问题，因为它被标识为字符串.

I created a dataframe using sqlContext and I have a problem with the datetime format as it is identified as string.

df2 = sqlContext.createDataFrame(i[1])
df2.show
df2.printSchema()

结果:

2016-07-05T17:42:55.238544+0900
2016-07-05T17:17:38.842567+0900
2016-06-16T19:54:09.546626+0900
2016-07-05T17:27:29.227750+0900
2016-07-05T18:44:12.319332+0900

string (nullable = true)

由于日期时间架构是一个字符串，我想将其更改为日期时间格式，如下所示:

Since the datetime schema is a string, I want to change it to datetime format as follows:

df3 =  df2.withColumn('_1', df2['_1'].cast(datetime()))

这里出现错误:类型错误:找不到必需的参数年份"(位置 1)

Here I got an error: TypeError: Required argument 'year' (pos 1) not found

我应该怎么做才能解决这个问题?

What should I do to solve this problem?

推荐答案

试试这个:

from pyspark.sql.types import DateType
ndf = df2.withColumn('_1', df2['_1'].cast(DateType()))

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