Abs - Computes the absolute value.

Acos - Computes inverse cosine of the input column.

Acosh - Computes inverse hyperbolic cosine of the input column.

AddMonths - Returns the date that is `months` months after `start`.

AesDecrypt - Returns a decrypted value of `input` using AES in `mode` with `padding`.

AesEncrypt - Returns an encrypted value of `input` using AES in given `mode` with the specified `padding`.

ApproxCountDistinct - Aggregate function: returns a new :class:`~pyspark.sql.Column` for approximate distinct count of column `col`.

Array - Creates a new array column.

ArrayAgg - Aggregate function: returns a list of objects with duplicates.

ArrayCompact - Collection function: removes null values from the array.

ArrayDistinct - Collection function: removes duplicate values from the array.

ArrayExcept - Collection function: returns an array of the elements in col1 but not in col2, without duplicates.

ArrayIntersect - Collection function: returns an array of the elements in the intersection of col1 and col2, without duplicates.

ArrayJoin - Concatenates the elements of `column` using the `delimiter`.

ArrayMax - Collection function: returns the maximum value of the array.

ArrayMin - Collection function: returns the minimum value of the array.

ArrayRepeat - Collection function: creates an array containing a column repeated count times.

ArraySize - Returns the total number of elements in the array.

ArraysOverlap - Collection function: returns true if the arrays contain any common non-null element; if not, returns null if both the arrays are non-empty and any of them contains a null element; returns false otherwise.

ArraysZip - Collection function: Returns a merged array of structs in which the N-th struct contains all N-th values of input arrays.

ArrayUnion - Collection function: returns an array of the elements in the union of col1 and col2, without duplicates.

Asc - Returns a sort expression based on the ascending order of the given column name.

Ascii - Computes the numeric value of the first character of the string column.

AscNullsFirst - Returns a sort expression based on the ascending order of the given column name, and null values return before non-null values.

AscNullsLast - Returns a sort expression based on the ascending order of the given column name, and null values appear after non-null values.

Asin - Computes inverse sine of the input column.

Asinh - Computes inverse hyperbolic sine of the input column.

Atan - Compute inverse tangent of the input column.

Atan2 - Atan2 is the Golang equivalent of atan2: (col1: Union[ForwardRef('ColumnOrName'), float], col2: Union[ForwardRef('ColumnOrName'), float]) -> pyspark.sql.connect.column.Column.

Atanh - Computes inverse hyperbolic tangent of the input column.

Avg - Aggregate function: returns the average of the values in a group.

Base64 - Computes the BASE64 encoding of a binary column and returns it as a string column.

Bin - Returns the string representation of the binary value of the given column.

BitAnd - Aggregate function: returns the bitwise AND of all non-null input values, or null if none.

BitCount - Returns the number of bits that are set in the argument expr as an unsigned 64-bit integer, or NULL if the argument is NULL.

BitGet - Returns the value of the bit (0 or 1) at the specified position.

BitLength - Calculates the bit length for the specified string column.

BitmapBitPosition - Returns the bit position for the given input column.

BitmapBucketNumber - Returns the bucket number for the given input column.

BitmapConstructAgg - Returns a bitmap with the positions of the bits set from all the values from the input column.

BitmapCount - Returns the number of set bits in the input bitmap.

BitmapOrAgg - Returns a bitmap that is the bitwise OR of all of the bitmaps from the input column.

BitOr - Aggregate function: returns the bitwise OR of all non-null input values, or null if none.

BitwiseNot - Computes bitwise not.

BitwiseNOT - Computes bitwise not.

BitXor - Aggregate function: returns the bitwise XOR of all non-null input values, or null if none.

BoolAnd - Aggregate function: returns true if all values of `col` are true.

BoolOr - Aggregate function: returns true if at least one value of `col` is true.

Bround - Round the given value to `scale` decimal places using HALF_EVEN rounding mode if `scale` >= 0 or at integral part when `scale` < 0.

Btrim - Remove the leading and trailing `trim` characters from `str`.

CallFunction - Call a SQL function.

Cardinality - Collection function: returns the length of the array or map stored in the column.

Cbrt - Computes the cube-root of the given value.

Ceil - Computes the ceiling of the given value.

Ceiling - Computes the ceiling of the given value.

Char - Returns the ASCII character having the binary equivalent to `col`.

CharacterLength - Returns the character length of string data or number of bytes of binary data.

CharLength - Returns the character length of string data or number of bytes of binary data.

Coalesce - Returns the first column that is not null.

CollectList - Aggregate function: returns a list of objects with duplicates.

CollectSet - Aggregate function: returns a set of objects with duplicate elements eliminated.

Concat - Concatenates multiple input columns together into a single column.

ConcatWs - Concatenates multiple input string columns together into a single string column, using the given separator.

Contains - Returns a boolean.

Conv - Convert a number in a string column from one base to another.

Corr - Returns a new :class:`~pyspark.sql.Column` for the Pearson Correlation Coefficient for “col1“ and “col2“.

Cos - Computes cosine of the input column.

Cosh - Computes hyperbolic cosine of the input column.

Cot - Computes cotangent of the input column.

Count - Aggregate function: returns the number of items in a group.

CountDistinct - Returns a new :class:`Column` for distinct count of “col“ or “cols“.

CountIf - Returns the number of `TRUE` values for the `col`.

CountMinSketch - Returns a count-min sketch of a column with the given esp, confidence and seed.

CovarPop - Returns a new :class:`~pyspark.sql.Column` for the population covariance of “col1“ and “col2“.

CovarSamp - Returns a new :class:`~pyspark.sql.Column` for the sample covariance of “col1“ and “col2“.

Crc32 - Calculates the cyclic redundancy check value (CRC32) of a binary column and returns the value as a bigint.

CreateMap - Creates a new map column.

Csc - Computes cosecant of the input column.

CumeDist - Window function: returns the cumulative distribution of values within a window partition, i.e.

Curdate - Returns the current date at the start of query evaluation as a :class:`DateType` column.

CurrentCatalog - Returns the current catalog.

CurrentDatabase - Returns the current database.

CurrentDate - Returns the current date at the start of query evaluation as a :class:`DateType` column.

CurrentSchema - Returns the current database.

CurrentTimestamp - Returns the current timestamp at the start of query evaluation as a :class:`TimestampType` column.

CurrentTimezone - Returns the current session local timezone.

CurrentUser - Returns the current database.

Dateadd - Returns the date that is `days` days after `start`.

DateAdd - Returns the date that is `days` days after `start`.

Datediff - Returns the number of days from `start` to `end`.

DateDiff - Returns the number of days from `start` to `end`.

DateFormat - Converts a date/timestamp/string to a value of string in the format specified by the date format given by the second argument.

DateFromUnixDate - Create date from the number of `days` since 1970-01-01.

Datepart is the Golang equivalent of datepart: (field: 'ColumnOrName', source: 'ColumnOrName') -> pyspark.sql.connect.column.Column.

DatePart is the Golang equivalent of date_part: (field: 'ColumnOrName', source: 'ColumnOrName') -> pyspark.sql.connect.column.Column.

DateSub - Returns the date that is `days` days before `start`.

DateTrunc - Returns timestamp truncated to the unit specified by the format.

Day - Extract the day of the month of a given date/timestamp as integer.

Dayofmonth - Extract the day of the month of a given date/timestamp as integer.

Dayofweek - Extract the day of the week of a given date/timestamp as integer.

Dayofyear - Extract the day of the year of a given date/timestamp as integer.

Days - Partition transform function: A transform for timestamps and dates to partition data into days.

Decode - Computes the first argument into a string from a binary using the provided character set (one of 'US-ASCII', 'ISO-8859-1', 'UTF-8', 'UTF-16BE', 'UTF-16LE', 'UTF-16').

Degrees - Converts an angle measured in radians to an approximately equivalent angle measured in degrees.

DenseRank - Window function: returns the rank of rows within a window partition, without any gaps.

Desc - Returns a sort expression based on the descending order of the given column name.

DescNullsFirst - Returns a sort expression based on the descending order of the given column name, and null values appear before non-null values.

DescNullsLast - Returns a sort expression based on the descending order of the given column name, and null values appear after non-null values.

E - Returns Euler's number.

Elt - Returns the `n`-th input, e.g., returns `input2` when `n` is 2.

Encode - Computes the first argument into a binary from a string using the provided character set (one of 'US-ASCII', 'ISO-8859-1', 'UTF-8', 'UTF-16BE', 'UTF-16LE', 'UTF-16').

Endswith - Returns a boolean.

EqualNull - Returns same result as the EQUAL(=) operator for non-null operands, but returns true if both are null, false if one of the them is null.

Every - Aggregate function: returns true if all values of `col` are true.

Exp - Computes the exponential of the given value.

Explode - Returns a new row for each element in the given array or map.

ExplodeOuter - Returns a new row for each element in the given array or map.

Expm1 - Computes the exponential of the given value minus one.

Extract - Extracts a part of the date/timestamp or interval source.

Factorial - Computes the factorial of the given value.

FindInSet - Returns the index (1-based) of the given string (`str`) in the comma-delimited list (`strArray`).

Flatten - Collection function: creates a single array from an array of arrays.

Floor - Computes the floor of the given value.

FormatNumber - Formats the number X to a format like '#,--#,--#.--', rounded to d decimal places with HALF_EVEN round mode, and returns the result as a string.

FormatString - Formats the arguments in printf-style and returns the result as a string column.

FromUnixtime - Converts the number of seconds from unix epoch (1970-01-01 00:00:00 UTC) to a string representing the timestamp of that moment in the current system time zone in the given format.

FromUtcTimestamp - This is a common function for databases supporting TIMESTAMP WITHOUT TIMEZONE.

Get - Collection function: Returns element of array at given (0-based) index.

Getbit - Returns the value of the bit (0 or 1) at the specified position.

GetJsonObject - Extracts json object from a json string based on json `path` specified, and returns json string of the extracted json object.

Greatest - Returns the greatest value of the list of column names, skipping null values.

Grouping - Aggregate function: indicates whether a specified column in a GROUP BY list is aggregated or not, returns 1 for aggregated or 0 for not aggregated in the result set.

GroupingId - Aggregate function: returns the level of grouping, equals to (grouping(c1) << (n-1)) + (grouping(c2) << (n-2)) + ..

Hash - Calculates the hash code of given columns, and returns the result as an int column.

Hex - Computes hex value of the given column, which could be :class:`pyspark.sql.types.StringType`, :class:`pyspark.sql.types.BinaryType`, :class:`pyspark.sql.types.IntegerType` or :class:`pyspark.sql.types.LongType`.

HistogramNumeric - Computes a histogram on numeric 'col' using nb bins.

HllSketchEstimate - Returns the estimated number of unique values given the binary representation of a Datasketches HllSketch.

Hour - Extract the hours of a given timestamp as integer.

Hours - Partition transform function: A transform for timestamps to partition data into hours.

Hypot - Computes “sqrt(a^2 + b^2)“ without intermediate overflow or underflow.

Ifnull - Returns `col2` if `col1` is null, or `col1` otherwise.

Initcap - Translate the first letter of each word to upper case in the sentence.

Inline - Explodes an array of structs into a table.

InlineOuter - Explodes an array of structs into a table.

InputFileBlockLength - Returns the length of the block being read, or -1 if not available.

InputFileBlockStart - Returns the start offset of the block being read, or -1 if not available.

InputFileName - Creates a string column for the file name of the current Spark task.

Instr - Locate the position of the first occurrence of substr column in the given string.

Isnan - An expression that returns true if the column is NaN.

Isnotnull - Returns true if `col` is not null, or false otherwise.

Isnull - An expression that returns true if the column is null.

JavaMethod - Calls a method with reflection.

JsonArrayLength - Returns the number of elements in the outermost JSON array.

JsonObjectKeys - Returns all the keys of the outermost JSON object as an array.

JsonTuple - Creates a new row for a json column according to the given field names.

Kurtosis - Aggregate function: returns the kurtosis of the values in a group.

LastDay - Returns the last day of the month which the given date belongs to.

Lcase - Returns `str` with all characters changed to lowercase.

Least - Returns the least value of the list of column names, skipping null values.

Left - Returns the leftmost `len`(`len` can be string type) characters from the string `str`, if `len` is less or equal than 0 the result is an empty string.

Length - Computes the character length of string data or number of bytes of binary data.

Levenshtein - Computes the Levenshtein distance of the two given strings.

Ln - Returns the natural logarithm of the argument.

Localtimestamp - Returns the current timestamp without time zone at the start of query evaluation as a timestamp without time zone column.

Locate - Locate the position of the first occurrence of substr in a string column, after position pos.

Log - Returns the first argument-based logarithm of the second argument.

Log10 - Computes the logarithm of the given value in Base 10.

Log1p - Computes the natural logarithm of the "given value plus one".

Log2 - Returns the base-2 logarithm of the argument.

Lower - Converts a string expression to lower case.

Lpad - Left-pad the string column to width `len` with `pad`.

Ltrim - Trim the spaces from left end for the specified string value.

MakeDate - Returns a column with a date built from the year, month and day columns.

MakeDtInterval - Make DayTimeIntervalType duration from days, hours, mins and secs.

MakeInterval - Make interval from years, months, weeks, days, hours, mins and secs.

MakeTimestamp - Create timestamp from years, months, days, hours, mins, secs and timezone fields.

MakeTimestampLtz - Create the current timestamp with local time zone from years, months, days, hours, mins, secs and timezone fields.

MakeTimestampNtz - Create local date-time from years, months, days, hours, mins, secs fields.

MakeYmInterval - Make year-month interval from years, months.

MapConcat - Returns the union of all the given maps.

MapEntries - Collection function: Returns an unordered array of all entries in the given map.

MapFromArrays - Creates a new map from two arrays.

MapFromEntries - Collection function: Converts an array of entries (key value struct types) to a map of values.

MapKeys - Collection function: Returns an unordered array containing the keys of the map.

MapValues - Collection function: Returns an unordered array containing the values of the map.

Mask - Masks the given string value.

Max - Aggregate function: returns the maximum value of the expression in a group.

MaxBy - Returns the value associated with the maximum value of ord.

Md5 - Calculates the MD5 digest and returns the value as a 32 character hex string.

Mean - Aggregate function: returns the average of the values in a group.

Median - Returns the median of the values in a group.

Min - Aggregate function: returns the minimum value of the expression in a group.

MinBy - Returns the value associated with the minimum value of ord.

Minute - Extract the minutes of a given timestamp as integer.

Mode - Returns the most frequent value in a group.

MonotonicallyIncreasingId - A column that generates monotonically increasing 64-bit integers.

Month - Extract the month of a given date/timestamp as integer.

Months - Partition transform function: A transform for timestamps and dates to partition data into months.

NamedStruct - Creates a struct with the given field names and values.

Nanvl - Returns col1 if it is not NaN, or col2 if col1 is NaN.

Negate - Returns the negative value.

Negative - Returns the negative value.

NextDay - Returns the first date which is later than the value of the date column based on second `week day` argument.

Now - Returns the current timestamp at the start of query evaluation.

Ntile - Window function: returns the ntile group id (from 1 to `n` inclusive) in an ordered window partition.

Nullif - Returns null if `col1` equals to `col2`, or `col1` otherwise.

Nvl - Returns `col2` if `col1` is null, or `col1` otherwise.

Nvl2 - Returns `col2` if `col1` is not null, or `col3` otherwise.

OctetLength - Calculates the byte length for the specified string column.

Overlay - Overlay the specified portion of `src` with `replace`, starting from byte position `pos` of `src` and proceeding for `len` bytes.

ParseUrl - Extracts a part from a URL.

PercentRank - Window function: returns the relative rank (i.e.

Pi - Returns Pi.

Pmod - Returns the positive value of dividend mod divisor.

Posexplode - Returns a new row for each element with position in the given array or map.

PosexplodeOuter - Returns a new row for each element with position in the given array or map.

Position - Returns the position of the first occurrence of `substr` in `str` after position `start`.

Positive - Returns the value.

Pow - Returns the value of the first argument raised to the power of the second argument.

Printf - Formats the arguments in printf-style and returns the result as a string column.

Product - Aggregate function: returns the product of the values in a group.

Quarter - Extract the quarter of a given date/timestamp as integer.

Radians - Converts an angle measured in degrees to an approximately equivalent angle measured in radians.

Rand - Generates a random column with independent and identically distributed (i.i.d.) samples uniformly distributed in [0.0, 1.0).

Randn - Generates a column with independent and identically distributed (i.i.d.) samples from the standard normal distribution.

Rank - Window function: returns the rank of rows within a window partition.

Reflect - Calls a method with reflection.

Regexp - Returns true if `str` matches the Java regex `regexp`, or false otherwise.

RegexpCount - Returns a count of the number of times that the Java regex pattern `regexp` is matched in the string `str`.

RegexpExtract - Extract a specific group matched by the Java regex `regexp`, from the specified string column.

RegexpLike - Returns true if `str` matches the Java regex `regexp`, or false otherwise.

RegexpSubstr - Returns the substring that matches the Java regex `regexp` within the string `str`.

RegrAvgx - Aggregate function: returns the average of the independent variable for non-null pairs in a group, where `y` is the dependent variable and `x` is the independent variable.

RegrAvgy - Aggregate function: returns the average of the dependent variable for non-null pairs in a group, where `y` is the dependent variable and `x` is the independent variable.

RegrCount - Aggregate function: returns the number of non-null number pairs in a group, where `y` is the dependent variable and `x` is the independent variable.

RegrIntercept - Aggregate function: returns the intercept of the univariate linear regression line for non-null pairs in a group, where `y` is the dependent variable and `x` is the independent variable.

RegrR2 - Aggregate function: returns the coefficient of determination for non-null pairs in a group, where `y` is the dependent variable and `x` is the independent variable.

RegrSlope - Aggregate function: returns the slope of the linear regression line for non-null pairs in a group, where `y` is the dependent variable and `x` is the independent variable.

RegrSxx - Aggregate function: returns REGR_COUNT(y, x) * VAR_POP(x) for non-null pairs in a group, where `y` is the dependent variable and `x` is the independent variable.

RegrSxy - Aggregate function: returns REGR_COUNT(y, x) * COVAR_POP(y, x) for non-null pairs in a group, where `y` is the dependent variable and `x` is the independent variable.

RegrSyy - Aggregate function: returns REGR_COUNT(y, x) * VAR_POP(y) for non-null pairs in a group, where `y` is the dependent variable and `x` is the independent variable.

Repeat - Repeats a string column n times, and returns it as a new string column.

Replace - Replaces all occurrences of `search` with `replace`.

Reverse - Collection function: returns a reversed string or an array with reverse order of elements.

Right - Returns the rightmost `len`(`len` can be string type) characters from the string `str`, if `len` is less or equal than 0 the result is an empty string.

Rint - Returns the double value that is closest in value to the argument and is equal to a mathematical integer.

Rlike - Returns true if `str` matches the Java regex `regexp`, or false otherwise.

Round - Round the given value to `scale` decimal places using HALF_UP rounding mode if `scale` >= 0 or at integral part when `scale` < 0.

RowNumber - Window function: returns a sequential number starting at 1 within a window partition.

Rpad - Right-pad the string column to width `len` with `pad`.

Rtrim - Trim the spaces from right end for the specified string value.

Sec - Computes secant of the input column.

Second - Extract the seconds of a given date as integer.

Sentences - Splits a string into arrays of sentences, where each sentence is an array of words.

Sequence - Generate a sequence of integers from `start` to `stop`, incrementing by `step`.

Sha - Returns a sha1 hash value as a hex string of the `col`.

Sha1 - Returns the hex string result of SHA-1.

Sha2 - Returns the hex string result of SHA-2 family of hash functions (SHA-224, SHA-256, SHA-384, and SHA-512).

Shiftleft - Shift the given value numBits left.

ShiftLeft - Shift the given value numBits left.

Shiftright - (Signed) shift the given value numBits right.

ShiftRight - (Signed) shift the given value numBits right.

Shiftrightunsigned - Unsigned shift the given value numBits right.

ShiftRightUnsigned - Unsigned shift the given value numBits right.

Shuffle - Collection function: Generates a random permutation of the given array.

Sign - Computes the signum of the given value.

Signum - Computes the signum of the given value.

Sin - Computes sine of the input column.

Sinh - Computes hyperbolic sine of the input column.

Size - Collection function: returns the length of the array or map stored in the column.

Skewness - Aggregate function: returns the skewness of the values in a group.

Slice - Collection function: returns an array containing all the elements in `x` from index `start` (array indices start at 1, or from the end if `start` is negative) with the specified `length`.

Some - Aggregate function: returns true if at least one value of `col` is true.

Soundex - Returns the SoundEx encoding for a string Soundex is the Golang equivalent of soundex: (col: 'ColumnOrName') -> pyspark.sql.connect.column.Column.

SparkPartitionId - A column for partition ID.

Split - Splits str around matches of the given pattern.

SplitPart - Splits `str` by delimiter and return requested part of the split (1-based).

Sqrt - Computes the square root of the specified float value.

Stack - Separates `col1`, ..., `colk` into `n` rows.

Startswith - Returns a boolean.

Std - Aggregate function: alias for stddev_samp.

Stddev - Aggregate function: alias for stddev_samp.

StddevPop - Aggregate function: returns population standard deviation of the expression in a group.

StddevSamp - Aggregate function: returns the unbiased sample standard deviation of the expression in a group.

StrToMap - Creates a map after splitting the text into key/value pairs using delimiters.

Struct - Creates a new struct column.

Substr - Returns the substring of `str` that starts at `pos` and is of length `len`, or the slice of byte array that starts at `pos` and is of length `len`.

Substring - Substring starts at `pos` and is of length `len` when str is String type or returns the slice of byte array that starts at `pos` in byte and is of length `len` when str is Binary type.

SubstringIndex - Returns the substring from string str before count occurrences of the delimiter delim.

Sum - Aggregate function: returns the sum of all values in the expression.

SumDistinct - Aggregate function: returns the sum of distinct values in the expression.

Tan - Computes tangent of the input column.

Tanh - Computes hyperbolic tangent of the input column.

TimestampMicros - Creates timestamp from the number of microseconds since UTC epoch.

TimestampMillis - Creates timestamp from the number of milliseconds since UTC epoch.

TimestampSeconds - Converts the number of seconds from the Unix epoch (1970-01-01T00:00:00Z) to a timestamp.

ToBinary - Converts the input `col` to a binary value based on the supplied `format`.

ToChar - Convert `col` to a string based on the `format`.

ToDate - Converts a :class:`~pyspark.sql.Column` into :class:`pyspark.sql.types.DateType` using the optionally specified format.

ToDegrees - ToDegrees is the Golang equivalent of toDegrees: (col: 'ColumnOrName') -> pyspark.sql.connect.column.Column.

ToNumber - Convert string 'col' to a number based on the string format 'format'.

ToRadians - ToRadians is the Golang equivalent of toRadians: (col: 'ColumnOrName') -> pyspark.sql.connect.column.Column.

ToTimestamp - Converts a :class:`~pyspark.sql.Column` into :class:`pyspark.sql.types.TimestampType` using the optionally specified format.

ToTimestampLtz - Parses the `timestamp` with the `format` to a timestamp without time zone.

ToTimestampNtz - Parses the `timestamp` with the `format` to a timestamp without time zone.

ToUnixTimestamp - Returns the UNIX timestamp of the given time.

ToUtcTimestamp - This is a common function for databases supporting TIMESTAMP WITHOUT TIMEZONE.

ToVarchar - Convert `col` to a string based on the `format`.

Translate - A function translate any character in the `srcCol` by a character in `matching`.

Trim - Trim the spaces from both ends for the specified string column.

Trunc - Returns date truncated to the unit specified by the format.

TryAdd - Returns the sum of `left`and `right` and the result is null on overflow.

TryAesDecrypt - This is a special version of `aes_decrypt` that performs the same operation, but returns a NULL value instead of raising an error if the decryption cannot be performed.

TryAvg - Returns the mean calculated from values of a group and the result is null on overflow.

TryDivide - Returns `dividend`/`divisor`.

TryElementAt - (array, index) - Returns element of array at given (1-based) index.

TryMultiply - Returns `left`*`right` and the result is null on overflow.

TrySubtract - Returns `left`-`right` and the result is null on overflow.

TrySum - Returns the sum calculated from values of a group and the result is null on overflow.

TryToBinary - This is a special version of `to_binary` that performs the same operation, but returns a NULL value instead of raising an error if the conversion cannot be performed.

TryToNumber - Convert string 'col' to a number based on the string format `format`.

TryToTimestamp - Parses the `col` with the `format` to a timestamp.

Typeof - Return DDL-formatted type string for the data type of the input.

Ucase - Returns `str` with all characters changed to uppercase.

Unbase64 - Decodes a BASE64 encoded string column and returns it as a binary column.

Unhex - Inverse of hex.

UnixDate - Returns the number of days since 1970-01-01.

UnixMicros - Returns the number of microseconds since 1970-01-01 00:00:00 UTC.

UnixMillis - Returns the number of milliseconds since 1970-01-01 00:00:00 UTC.

UnixSeconds - Returns the number of seconds since 1970-01-01 00:00:00 UTC.

UnixTimestamp - Convert time string with given pattern ('yyyy-MM-dd HH:mm:ss', by default) to Unix time stamp (in seconds), using the default timezone and the default locale, returns null if failed.

Upper - Converts a string expression to upper case.

UrlDecode - Decodes a `str` in 'application/x-www-form-urlencoded' format using a specific encoding scheme.

UrlEncode - Translates a string into 'application/x-www-form-urlencoded' format using a specific encoding scheme.

User - Returns the current database.

Variance - Aggregate function: alias for var_samp Variance is the Golang equivalent of variance: (col: 'ColumnOrName') -> pyspark.sql.connect.column.Column.

VarPop - Aggregate function: returns the population variance of the values in a group.

VarSamp - Aggregate function: returns the unbiased sample variance of the values in a group.

Version - Returns the Spark version.

Weekday - Returns the day of the week for date/timestamp (0 = Monday, 1 = Tuesday, ..., 6 = Sunday).

Weekofyear - Extract the week number of a given date as integer.

WidthBucket - Returns the bucket number into which the value of this expression would fall after being evaluated.

Window - Bucketize rows into one or more time windows given a timestamp specifying column.

WindowTime - Computes the event time from a window column.

Xpath - Returns a string array of values within the nodes of xml that match the XPath expression.

XpathBoolean - Returns true if the XPath expression evaluates to true, or if a matching node is found.

XpathDouble - Returns a double value, the value zero if no match is found, or NaN if a match is found but the value is non-numeric.

XpathFloat - Returns a float value, the value zero if no match is found, or NaN if a match is found but the value is non-numeric.

XpathInt - Returns an integer value, or the value zero if no match is found, or a match is found but the value is non-numeric.

XpathLong - Returns a long integer value, or the value zero if no match is found, or a match is found but the value is non-numeric.

XpathNumber - Returns a double value, the value zero if no match is found, or NaN if a match is found but the value is non-numeric.

XpathShort - Returns a short integer value, or the value zero if no match is found, or a match is found but the value is non-numeric.

XpathString - Returns the text contents of the first xml node that matches the XPath expression.

Xxhash64 - Calculates the hash code of given columns using the 64-bit variant of the xxHash algorithm, and returns the result as a long column.

Year - Extract the year of a given date/timestamp as integer.

Years - Partition transform function: A transform for timestamps and dates to partition data into years.