Python Spark - Convert timestamp into YYYY-MM-DD

Question

I'm currently trying to convert a timestamp into a date format of YYYY-MM-DD on Python Spark

Example:

table = random_name
start_time: 2017-03-25T12:58:16.000+0000

output desired: 2017-03-25

start_time: timestamp

Code:

x = spark.table(random_name)

display(x.withColumn('ts', to_timestamp(col('start_time')))
          .withColumn('new_start_date', to_date(col('ts')))

But I got this

SyntaxError: unexpected EOF while parsing

Answer 1

我猜你最后错过了一个括号“）”