pyspark 日期格式

1. 获取当前日期

from pyspark.sql.functions import current_date

spark.range(3).withColumn('date',current_date()).show()
# +---+----------+
# | id| date|
# +---+----------+
# | 0|2018-03-23|
# | 1|2018-03-23|

2. 获取当前日期和时间

from pyspark.sql.functions import current_timestamp

spark.range(3).withColumn('date',current_timestamp()).show()
# +---+--------------------+
# | id| date|
# +---+--------------------+
# | 0|2018-03-23 17:40:...|
# | 1|2018-03-23 17:40:...|
# | 2|2018-03-23 17:40:...|
# +---+--------------------+

3. 日期格式转换

from pyspark.sql.functions import date_format

df = spark.createDataFrame([('2015-04-08',)], ['a'])

df.select(date_format('a', 'MM/dd/yyy').alias('date')).show()

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4. 字符转日期

from pyspark.sql.functions import to_date, to_timestamp

# 1.转日期
df = spark.createDataFrame([('1997-02-28 10:30:00',)], ['t'])
df.select(to_date(df.t).alias('date')).show()
# [Row(date=datetime.date(1997, 2, 28))]

# 2.带时间的日期

df = spark.createDataFrame([('1997-02-28 10:30:00',)], ['t'])
df.select(to_timestamp(df.t).alias('dt')).show()
# [Row(dt=datetime.datetime(1997, 2, 28, 10, 30))]

# 还可以指定日期格式
df = spark.createDataFrame([('1997-02-28 10:30:00',)], ['t'])
df.select(to_timestamp(df.t, 'yyyy-MM-dd HH:mm:ss').alias('dt')).show()
# [Row(dt=datetime.datetime(1997, 2, 28, 10, 30))]

5. 获取日期中的年月日

from pyspark.sql.functions import year, month, dayofmonth

df = spark.createDataFrame([('2015-04-08',)], ['a'])
df.select(year('a').alias('year'),
month('a').alias('month'),
dayofmonth('a').alias('day')
).show()

6. 获取时分秒

from pyspark.sql.functions import hour, minute, second
df = spark.createDataFrame([('2015-04-08 13:08:15',)], ['a'])
df.select(hour('a').alias('hour'),
minute('a').alias('minute'),
second('a').alias('second')
).show()

7. 获取日期对应的季度

from pyspark.sql.functions import quarter

df = spark.createDataFrame([('2015-04-08',)], ['a'])
df.select(quarter('a').alias('quarter')).show()

8. 日期加减

from pyspark.sql.functions import date_add, date_sub
df = spark.createDataFrame([('2015-04-08',)], ['d'])
df.select(date_add(df.d, 1).alias('d-add'),
date_sub(df.d, 1).alias('d-sub')
).show()

9. 月份加减

from pyspark.sql.functions import add_months
df = spark.createDataFrame([('2015-04-08',)], ['d'])

df.select(add_months(df.d, 1).alias('d')).show()

10. 日期差,月份差

from pyspark.sql.functions import datediff, months_between

# 1.日期差
df = spark.createDataFrame([('2015-04-08','2015-05-10')], ['d1', 'd2'])
df.select(datediff(df.d2, df.d1).alias('diff')).show()

# 2.月份差
df = spark.createDataFrame([('1997-02-28 10:30:00', '1996-10-30')], ['t', 'd'])
df.select(months_between(df.t, df.d).alias('months')).show()

11. 计算下一个日子的日期

计算当前日期的下一个星期1,2,3,4,5,6,7的具体日子，属于实用函数

from pyspark.sql.functions import next_day

# "Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun".
df = spark.createDataFrame([('2015-07-27',)], ['d'])
df.select(next_day(df.d, 'Sun').alias('date')).show()

12. 本月的最后一个日期

from pyspark.sql.functions import last_day

df = spark.createDataFrame([('1997-02-10',)], ['d'])
df.select(last_day(df.d).alias('date')).show()