quarter(date)

Описание

Функция quarter() извлекает квартал (1-4) из даты или временной метки.

Параметры

• date: Column - столбец с датами или временными метками

Возвращаемое значение

Integer - номер квартала (1-4)

Пример использования

from pyspark.sql.functions import quarter
from pyspark.sql import SparkSession
from datetime import datetime

# Создаем SparkSession
spark = SparkSession.builder.appName("quarter_example").getOrCreate()

# Создаем DataFrame с датами
data = [
    (datetime(2023, 1, 15),),   # 1 квартал
    (datetime(2023, 4, 15),),   # 2 квартал
    (datetime(2023, 7, 15),),   # 3 квартал
    (datetime(2023, 10, 15),)   # 4 квартал
]
df = spark.createDataFrame(data, ["date"])

# Извлекаем квартал из каждой даты
result = df.select(
    "date",
    quarter("date").alias("quarter")
).show(truncate=False)

# Результат:
# +-------------------+-------+
# |date               |quarter|
# +-------------------+-------+
# |2023-01-15 00:00:00|1      |
# |2023-04-15 00:00:00|2      |
# |2023-07-15 00:00:00|3      |
# |2023-10-15 00:00:00|4      |
# +-------------------+-------+

Примечания

• NULL значения возвращают NULL
• Кварталы нумеруются от 1 до 4:
• 1 квартал: январь-март
• 2 квартал: апрель-июнь
• 3 квартал: июль-сентябрь
• 4 квартал: октябрь-декабрь
• Для работы с датами также используйте:
• year() для извлечения года
• month() для извлечения месяца
• day() для извлечения дня
• hour() для извлечения часа
• minute() для извлечения минут
• second() для извлечения секунд
• dayofweek() для извлечения дня недели
• dayofyear() для извлечения дня года

XML функции

• from_xml(col, schema)
• schema_of_xml(xml)
• to_xml(col)

aggregate functions

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basic functions

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bitmap functions

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bitwise functions

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call functions

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comparison functions

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conditional functions

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conversion functions

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csv functions

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datetime functions pyspark

• add_months(start_date, num_months)
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• date_add()
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• day(date)
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• localtimestamp()
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• make_ym_interval(years, months)
• minute(timestamp)
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• next_day(date, day_of_week)
• now()
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encryption functions

• try_aes_decrypt(input, key, mode, padding)

expression functions

• expr(expr)

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java functions

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map functions

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mathematical functions pyspark

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normal functions

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null functions

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sketch functions

• hll_sketch_estimate(sketch)
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sort functions

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string functions pyspark

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struct functions

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system functions

• current_catalog()
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• spark_partition_id()
• user()

type functions

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window functions

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• rank()
• row_number()
• window(timeColumn, windowDuration, slideDuration, startTime)

xml functions

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агрегатные функции

• approx_count_distinct(col, rsd)
• std(col)
• sumDistinct(col)

битовые операции

• bitwise_and(col1, col2)

оконные функции

• diff(col)
• session_window(timeColumn, gapDuration)
• sliding_window(timeColumn, windowDuration, slideDuration)
• tumbling_window(timeColumn, windowDuration)

операторы сравнения

• <>(left, right)
• <=>(left, right)
• =(left, right)

предикатные функции

• isnotnan(col)

системные функции

• database()
• session_user()

условные функции

• case_when(condition1, value1, condition2, value2, ..., else_value)
• if(condition, value1, value2)

функции для работы с битовыми картами

• bitmap_bit_position(bitmap, bit)
• bitmap_bucket_number(bitmap)

функции преобразования типов

• to_decimal(col, scale=0)

функции шифрования

• aes_decrypt(col, key)