char_length(col)
Описание
Функция char_length() возвращает длину строки в символах.
Параметры
col: Column - столбец со строками, длину которых нужно вычислить
Возвращаемое значение
Integer - количество символов в строке
Пример использования
from pyspark.sql.functions import char_length
from pyspark.sql import SparkSession
# Создаем SparkSession
spark = SparkSession.builder.appName("char_length_example").getOrCreate()
# Создаем DataFrame
data = [
("Hello"),
("Spark"),
("PySpark")
]
df = spark.createDataFrame(data, ["text"])
# Вычисляем длину строк
result = df.select(
"text",
char_length("text").alias("length")
).show()
# Результат:
# +-------+------+
# |text |length|
# +-------+------+
# |Hello |5 |
# |Spark |5 |
# |PySpark|7 |
# +-------+------+
Примечания
- Для вычисления длины в байтах используйте
length() - Функция учитывает все символы, включая пробелы
- NULL значения возвращают NULL
XML функции
aggregate functions
- any_value(col[, ignoreNulls])
- approxCountDistinct(col[, rsd])
- approx_percentile(col, percentage[, accuracy])
- array_agg(col)
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- bit_and(col)
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- count(col)
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- count_if(col)
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- covar_samp(col1, col2)
- every(col)
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- first_value(col[, ignoreNulls])
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- histogram_numeric(col, nBins)
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- hll_union_agg(col[, allowDifferentLgConfigK])
- kurtosis(col)
- last(col[, ignorenulls])
- last_value(col[, ignoreNulls])
- max(col)
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- mean(col)
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- mode(col)
- percentile(col, percentage)
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array functions pyspark
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- arrays_zip(*cols)
- cardinality(column)
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- exists(col, f)
- explode(column)
- explode_outer(column)
- flatten(col)
- forall(col, f)
- inline(column)
- inline_outer(column)
- json_array_length(json_array)
- json_object_keys(json_object)
- map_filter(map, f)
- map_zip_with(map1, map2, function)
- posexplode(column)
- posexplode_outer(column)
- reduce(col, initialValue, merge, finish=None)
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basic functions
bitmap functions
- bitmap_construct_agg(col)
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- bitwise_or(col1, col2)
- bitwise_xor(col1, col2)
bitwise functions
- bit_count()
- bit_get()
- bit_set(column, pos)
- bitwiseAND(column1, column2)
- bitwiseNOT(column)
- bitwiseOR(column1, column2)
- bitwiseXOR(column1, column2)
- getbit()
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- shiftleft(column, numBits)
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- shiftrightunsigned(column, numBits)
call functions
comparison functions
conditional functions
conversion functions
csv functions
datetime functions pyspark
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- datepart(field, source)
- day(date)
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- dayofweek(date)
- dayofyear(date)
- extract(field FROM source)
- from_utc_timestamp(timestamp, timezone)
- hour(timestamp)
- last_day(date)
- localtimestamp()
- make_date(year, month, day)
- make_dt_interval(days, hours, minutes, seconds)
- make_timestamp(year, month, day, hour, min, sec)
- make_timestamp_ltz(year, month, day, hour, minute, second)
- make_ym_interval(years, months)
- minute(timestamp)
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- next_day(date, day_of_week)
- now()
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- session_window(timeColumn, gapDuration)
- timestamp_micros(microseconds)
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- timestampadd(unit, interval, timestamp)
- to_date(col, format=None)
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- to_timestamp_ntz(col, format=None)
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- to_utc_timestamp(timestamp, timezone)
- trunc(date, format)
- try_to_timestamp(col, format=None)
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encryption functions
expression functions
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java functions
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mathematical functions pyspark
- abs(col)
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- try_to_number()
normal functions
null functions
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- equal_null(expr1, expr2)
- ifnull(expr1, expr2)
- isnotnull(expr)
- isnull(expr)
- nanvl(col1, col2)
- nullif(expr1, expr2)
- nvl(expr1, expr2)
- nvl2(expr1, expr2, expr3)
sketch functions
sort functions
- asc(col)
- asc_nulls_first(col)
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string functions pyspark
- eval(expr)
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- levenshtein(col1, col2)
- mask(col, upperChar, lowerChar, digitChar, otherChar)
- regexp(col, pattern)
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- regexp_substr(col, pattern, pos, occurrence)
- repeat(col, n)
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- sql(query)
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- ucase(col)
- unbase64(col)
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- upper(col)
- url_decode(str)
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- uuid()
struct functions
system functions
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- input_file_block_length()
- input_file_block_start()
- input_file_name()
- spark_partition_id()
- user()
type functions
window functions
- cume_dist()
- dense_rank()
- lag(col, offset, default)
- lead(col, offset, default)
- monotonically_increasing_id()
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- ntile(n)
- percent_rank()
- rank()
- row_number()
- window(timeColumn, windowDuration, slideDuration, startTime)
xml functions
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- xpath_number(xml, path)
- xpath_short(xml, path)
- xpath_string(xml, path)
агрегатные функции
битовые операции
оконные функции
- diff(col)
- session_window(timeColumn, gapDuration)
- sliding_window(timeColumn, windowDuration, slideDuration)
- tumbling_window(timeColumn, windowDuration)