java.lang.Object
- com.snowflake.snowpark_java.Functions

```
public final class Functions
extends Object
```
Provides utility functions that generate Column expression that you can pass to DataFrame transformation methods. These functions generate references to columns, literals, and SQL expression.
This object also provides functions that correspond to Snowflake system-defined functions (built-in functions), including functions for aggregation and window functions.

Since:

0.9.0

Method Summary

All Methods Static Methods Concrete Methods
Modifier and Type	Method	Description
`static Column`	`abs(Column col)`	Returns the absolute value of a numeric expression.
`static Column`	`acos(Column col)`	Computes the inverse cosine (arc cosine) of its input; the result is a number in the interval [-pi, pi].
`static Column`	`add_months(Column startDate, Column numMonths)`	Adds or subtracts a specified number of months to a date or timestamp, preserving the end-of-month information.
`static Column`	`any_value(Column e)`	Returns a non-deterministic value for the specified column.
`static Column`	`approx_count_distinct(Column col)`	Uses HyperLogLog to return an approximation of the distinct cardinality of the input (i.e.
`static Column`	`approx_percentile(Column col, double percentile)`	Returns an approximated value for the desired percentile.
`static Column`	`approx_percentile_accumulate(Column col)`	Returns the internal representation of the t-Digest state (as a JSON object) at the end of aggregation.
`static Column`	`approx_percentile_combine(Column state)`	Combines (merges) percentile input states into a single output state.
`static Column`	`approx_percentile_estimate(Column col, double percentile)`	Returns the desired approximated percentile value for the specified t-Digest state.
`static Column`	`array(Column... cols)`	Returns an ARRAY constructed from zero, one, or more inputs.
`static Column`	`array_agg(Column col)`	Returns the input values, pivoted into an ARRAY.
`static Column`	`array_append(Column array, Column element)`	Returns an ARRAY containing all elements from the source ARRAYas well as the new element.
`static Column`	`array_cat(Column array1, Column array2)`	Returns the concatenation of two ARRAYs.
`static Column`	`array_compact(Column array)`	Returns a compacted ARRAY with missing and null values removed, effectively converting sparse arrays into dense arrays.
`static Column`	`array_construct(Column... cols)`	Returns an ARRAY constructed from zero, one, or more inputs.
`static Column`	`array_construct_compact(Column... cols)`	Returns an ARRAY constructed from zero, one, or more inputs; the constructed ARRAY omits any NULL input values.
`static Column`	`array_contains(Column variant, Column array)`	Returns `true` if the specified VARIANT is found in the specified ARRAY.
`static Column`	`array_insert(Column array, Column pos, Column element)`	Returns an ARRAY containing all elements from the source ARRAY as well as the new element.
`static Column`	`array_intersection(Column col1, Column col2)`	Returns an ARRAY that contains the matching elements in the two input ARRAYs.
`static Column`	`array_position(Column variant, Column array)`	Returns the index of the first occurrence of an element in an ARRAY.
`static Column`	`array_prepend(Column array, Column element)`	Returns an ARRAY containing the new element as well as all elements from the source ARRAY.
`static Column`	`array_size(Column array)`	Returns the size of the input ARRAY.
`static Column`	`array_slice(Column array, Column from, Column to)`	Returns an ARRAY constructed from a specified subset of elements of the input ARRAY.
`static Column`	`array_to_string(Column array, Column separator)`	Returns an input ARRAY converted to a string by casting all values to strings (using TO_VARCHAR) and concatenating them (using the string from the second argument to separate the elements).
`static Column`	`arrays_overlap(Column a1, Column a2)`	Compares whether two arrays have at least one element in common.
`static Column`	`as_array(Column variant)`	Casts a VARIANT value to an array.
`static Column`	`as_binary(Column variant)`	Casts a VARIANT value to a binary string.
`static Column`	`as_char(Column variant)`	Casts a VARIANT value to a string.
`static Column`	`as_date(Column variant)`	Casts a VARIANT value to a date.
`static Column`	`as_decimal(Column variant)`	Casts a VARIANT value to a fixed-point decimal (does not match floating-point values).
`static Column`	`as_decimal(Column variant, int precision)`	Casts a VARIANT value to a fixed-point decimal (does not match floating-point values), with precision.
`static Column`	`as_decimal(Column variant, int precision, int scale)`	Casts a VARIANT value to a fixed-point decimal (does not match floating-point values), with precision and scale.
`static Column`	`as_double(Column variant)`	Casts a VARIANT value to a floating-point value.
`static Column`	`as_integer(Column variant)`	Casts a VARIANT value to an integer.
`static Column`	`as_number(Column variant)`	Casts a VARIANT value to a fixed-point decimal (does not match floating-point values).
`static Column`	`as_number(Column variant, int precision)`	Casts a VARIANT value to a fixed-point decimal (does not match floating-point values), with precision and scale.
`static Column`	`as_number(Column variant, int precision, int scale)`	Casts a VARIANT value to a fixed-point decimal (does not match floating-point values), with precision.
`static Column`	`as_object(Column variant)`	Casts a VARIANT value to an object.
`static Column`	`as_real(Column variant)`	Casts a VARIANT value to a floating-point value.
`static Column`	`as_time(Column variant)`	Casts a VARIANT value to a time value.
`static Column`	`as_timestamp_ltz(Column variant)`	Casts a VARIANT value to a TIMESTAMP value with local timezone.
`static Column`	`as_timestamp_ntz(Column variant)`	Casts a VARIANT value to a TIMESTAMP value with no timezone.
`static Column`	`as_timestamp_tz(Column variant)`	Casts a VARIANT value to a TIMESTAMP value with timezone.
`static Column`	`as_varchar(Column variant)`	Casts a VARIANT value to a string.
`static Column`	`asc(String name)`	Returns a Column expression with values sorted in ascending order.
`static Column`	`ascii(Column e)`	Returns the ASCII code for the first character of a string.
`static Column`	`asin(Column col)`	Computes the inverse sine (arc sine) of its argument; the result is a number in the interval [-pi, pi].
`static Column`	`atan(Column col)`	Computes the inverse tangent (arc tangent) of its argument; the result is a number in the interval [-pi, pi].
`static Column`	`atan2(Column y, Column x)`	Computes the inverse tangent (arc tangent) of the ratio of its two arguments.
`static Column`	`avg(Column col)`	Returns the average of non-NULL records.
`static Column`	`base64(Column c)`	Computes the BASE64 encoding of a column and returns it as a string column.
`static Column`	`bitnot(Column col)`	Returns the bitwise negation of a numeric expression.
`static Column`	`bitshiftleft(Column e, Column numBits)`	Shifts the bits for a numeric expression numBits positions to the left.
`static Column`	`bitshiftright(Column e, Column numBits)`	Shifts the bits for a numeric expression numBits positions to the right.
`static Column`	`callUDF(String udfName, Column... cols)`	Calls a user-defined function (UDF) by name.
`static Column`	`ceil(Column col)`	Returns values from the specified column rounded to the nearest equal or larger integer.
`static Column`	`charindex(Column targetExpr, Column sourceExpr)`	Searches for targetExpr in sourceExpr and, if successful, returns the position (1-based) of the targetExpr in sourceExpr.
`static Column`	`charindex(Column targetExpr, Column sourceExpr, Column position)`	Searches for targetExpr in sourceExpr and, if successful, returns the position (1-based) of the targetExpr in sourceExpr.
`static Column`	`check_json(Column col)`	Checks the validity of a JSON document.
`static Column`	`check_xml(Column col)`	Checks the validity of an XML document.
`static Column`	`chr(Column col)`	Converts a Unicode code point (including 7-bit ASCII) into the character that matches the input Unicode.
`static Column`	`coalesce(Column... cols)`	Returns the first non-NULL expression among its arguments, or NULL if all its arguments are NULL.
`static Column`	`col(DataFrame df)`	Generates a Column representing the result of the input DataFrame.
`static Column`	`col(String name)`	Creates a Column with the specified name.
`static Column`	`collate(Column expr, String collationSpec)`	Returns a copy of expr, but with the specified collationSpec property instead of the original collation specification property.
`static Column`	`collation(Column expr)`	Returns the collation specification of expr.
`static Column`	`collect_list(Column c)`	Returns the input values, pivoted into an ARRAY.
`static Column`	`concat(Column... exprs)`	Concatenates one or more strings, or concatenates one or more binary values.
`static Column`	`concat_ws(Column separator, Column... exprs)`	Concatenates two or more strings, or concatenates two or more binary values.
`static Column`	`contains(Column col, Column str)`	Returns true if col contains str.
`static Column`	`convert_timezone(Column targetTimeZone, Column sourceTimestamp)`	Converts the given sourceTimestampNTZ to targetTimeZone.
`static Column`	`convert_timezone(Column sourceTimeZone, Column targetTimeZone, Column sourceTimestampNTZ)`	Converts the given sourceTimestampNTZ from sourceTimeZone to targetTimeZone.
`static Column`	`corr(Column col1, Column col2)`	Returns the correlation coefficient for non-null pairs in a group.
`static Column`	`cos(Column col)`	Computes the cosine of its argument; the argument should be expressed in radians.
`static Column`	`cosh(Column col)`	Computes the hyperbolic cosine of its argument.
`static Column`	`count(Column col)`	Returns either the number of non-NULL records for the specified columns, or the total number of records.
`static Column`	`count_distinct(Column first, Column... remaining)`	Returns either the number of non-NULL distinct records for the specified columns, or the total number of the distinct records.
`static Column`	`countDistinct(Column first, Column... remaining)`	Returns either the number of non-NULL distinct records for the specified columns, or the total number of the distinct records.
`static Column`	`countDistinct(String first, String... remaining)`	Returns either the number of non-NULL distinct records for the specified columns, or the total number of the distinct records.
`static Column`	`covar_pop(Column col1, Column col2)`	Calculates the population covariance for non-null pairs in a group.
`static Column`	`covar_samp(Column col1, Column col2)`	Calculates the sample covariance for non-null pairs in a group.
`static Column`	`cume_dist()`	Finds the cumulative distribution of a value with regard to other values within the same window partition.
`static Column`	`current_account()`	Returns the account used by the user's current session.
`static Column`	`current_available_roles()`	Returns a JSON string that lists all roles granted to the current user.
`static Column`	`current_database()`	Returns the name of the database in use for the current session.
`static Column`	`current_date()`	Returns the current date of the system.
`static Column`	`current_region()`	Returns the name of the region for the account where the current user is logged in.
`static Column`	`current_role()`	Returns the name of the role in use for the current session.
`static Column`	`current_schema()`	Returns the name of the schema in use by the current session.
`static Column`	`current_schemas()`	Returns active search path schemas.
`static Column`	`current_session()`	Returns a unique system identifier for the Snowflake session corresponding to the present connection.
`static Column`	`current_statement()`	Returns the SQL text of the statement that is currently executing.
`static Column`	`current_time()`	Returns the current time for the system.
`static Column`	`current_timestamp()`	Returns the current timestamp for the system.
`static Column`	`current_user()`	Returns the name of the user currently logged into the system.
`static Column`	`current_version()`	Returns the current Snowflake version.
`static Column`	`current_warehouse()`	Returns the name of the warehouse in use for the current session.
`static Column`	`date_format(Column col, String s)`	Converts an input expression into the corresponding date in the specified date format.
`static Column`	`date_from_parts(Column year, Column month, Column day)`	Creates a date from individual numeric components that represent the year, month, and day of the month.
`static Column`	`date_trunc(String format, Column timestamp)`	Truncates a DATE, TIME, or TIMESTAMP to the specified precision.
`static Column`	`dateadd(String part, Column value, Column expr)`	Adds the specified value for the specified date or time art to date or time expr.
`static Column`	`datediff(String part, Column col1, Column col2)`	Calculates the difference between two date, time, or timestamp columns based on the date or time part requested.
`static Column`	`dayname(Column expr)`	Extracts the three-letter day-of-week name from the specified date or timestamp.
`static Column`	`dayofmonth(Column e)`	Extracts the day of month from a date or timestamp.
`static Column`	`dayofweek(Column e)`	Extracts the day of week from a date or timestamp.
`static Column`	`dayofyear(Column e)`	Extracts the day of year from a date or timestamp.
`static Column`	`degrees(Column e)`	Converts radians to degrees.
`static Column`	`dense_rank()`	Returns the rank of a value within a group of values, without gaps in the ranks.
`static Column`	`desc(String name)`
`static Column`	`div0(Column dividend, Column divisor)`	Performs division like the division operator (/), but returns 0 when the divisor is 0 (rather than reporting an error).
`static Column`	`endswith(Column expr, Column str)`	Returns TRUE if expr ends with str.
`static Column`	`equal_nan(Column col)`	Returns true if the value in the column is not a number (NaN).
`static Column`	`exp(Column col)`	Computes Euler's number e raised to a floating-point value.
`static Column`	`expr(String s)`	Creates a Column expression from row SQL text.
`static Column`	`factorial(Column col)`	Computes the factorial of its input.
`static Column`	`floor(Column col)`	Returns values from the specified column rounded to the nearest equal or smaller integer.
`static Column`	`get(Column col1, Column col2)`	Extracts a value from an object or array; returns NULL if either of the arguments is NULL.
`static Column`	`get_ignore_case(Column obj, Column field)`	Extracts a field value from an object; returns NULL if either of the arguments is NULL.
`static Column`	`get_path(Column col, Column path)`	Extracts a value from semi-structured data using a path name.
`static Column`	`greatest(Column... cols)`	Returns the largest value from a list of expressions.
`static Column`	`grouping(Column col)`	Describes which of a list of expressions are grouped in a row produced by a GROUP BY query.
`static Column`	`grouping_id(Column... cols)`	Describes which of a list of expressions are grouped in a row produced by a GROUP BY query.
`static Column`	`hash(Column... cols)`	Returns a signed 64-bit hash value.
`static Column`	`hex(Column c)`	Computes hex value of the given column.
`static Column`	`hour(Column e)`	Extracts the hour from a date or timestamp.
`static Column`	`iff(Column condition, Column expr1, Column expr2)`	Returns one of two specified expressions, depending on a condition.
`static Column`	`in(Column[] columns, DataFrame df)`	Returns a conditional expression that you can pass to the filter or where method to perform the equivalent of a WHERE ...
`static Column`	`in(Column[] columns, List<List<Object>> values)`	Returns a conditional expression that you can pass to the filter or where method to perform the equivalent of a WHERE ...
`static Column`	`initcap(Column e)`	Returns the input string with the first letter of each word in uppercase and the subsequent letters in lowercase.
`static Column`	`insert(Column baseExpr, Column position, Column length, Column insertExpr)`	Replaces a substring of the specified length, starting at the specified position, with a new string or binary value.
`static Column`	`is_array(Column col)`	Returns true if the specified VARIANT column contains an ARRAY value.
`static Column`	`is_binary(Column col)`	Returns true if the specified VARIANT column contains a binary value.
`static Column`	`is_boolean(Column col)`	Returns true if the specified VARIANT column contains a Boolean value.
`static Column`	`is_char(Column col)`	Returns true if the specified VARIANT column contains a string value.
`static Column`	`is_date(Column col)`	Returns true if the specified VARIANT column contains a DATE value.
`static Column`	`is_date_value(Column col)`	Returns true if the specified VARIANT column contains a DATE value.
`static Column`	`is_decimal(Column col)`	Returns true if the specified VARIANT column contains a fixed-point decimal value or integer.
`static Column`	`is_double(Column col)`	Returns true if the specified VARIANT column contains a floating-point value, fixed-point decimal, or integer.
`static Column`	`is_integer(Column col)`	Returns true if the specified VARIANT column contains an integer value.
`static Column`	`is_null(Column col)`	Returns true if the value in the column is null.
`static Column`	`is_null_value(Column col)`	Returns true if the specified VARIANT column is a JSON null value.
`static Column`	`is_object(Column col)`	Returns true if the specified VARIANT column contains an OBJECT value.
`static Column`	`is_real(Column col)`	Returns true if the specified VARIANT column contains a floating-point value, fixed-point decimal, or integer.
`static Column`	`is_time(Column col)`	Returns true if the specified VARIANT column contains a TIME value.
`static Column`	`is_timestamp_ltz(Column col)`	Returns true if the specified VARIANT column contains a TIMESTAMP value to be interpreted using the local time zone.
`static Column`	`is_timestamp_ntz(Column col)`	Returns true if the specified VARIANT column contains a TIMESTAMP value with no time zone.
`static Column`	`is_timestamp_tz(Column col)`	Returns true if the specified VARIANT column contains a TIMESTAMP value with a time zone.
`static Column`	`is_varchar(Column col)`	Returns true if the specified VARIANT column contains a string value.
`static Column`	`isnull(Column c)`	Wrapper for Snowflake built-in isnull function.
`static Column`	`json_extract_path_text(Column col, Column path)`	Parses a JSON string and returns the value of an element at a specified path in the resulting JSON document.
`static Column`	`kurtosis(Column col)`	Returns the population excess kurtosis of non-NULL records.
`static Column`	`lag(Column col)`	Accesses data in a previous row in the same result set without having to join the table to itself.
`static Column`	`lag(Column col, int offset)`	Accesses data in a previous row in the same result set without having to join the table to itself.
`static Column`	`lag(Column col, int offset, Column defaultValue)`	Accesses data in a previous row in the same result set without having to join the table to itself.
`static Column`	`last(Column col)`	Returns the last value of the column in a group.
`static Column`	`last_day(Column e)`	Returns the last day of the specified date part for a date or timestamp.
`static Column`	`lead(Column col)`	Accesses data in a subsequent row in the same result set without having to join the table to itself.
`static Column`	`lead(Column col, int offset)`	Accesses data in a subsequent row in the same result set without having to join the table to itself.
`static Column`	`lead(Column col, int offset, Column defaultValue)`	Accesses data in a subsequent row in the same result set without having to join the table to itself.
`static Column`	`least(Column... cols)`	Returns the smallest value from a list of expressions.
`static Column`	`left(Column strExpr, Column lengthExpr)`	Returns a left most substring of strExpr.
`static Column`	`length(Column e)`	Returns the length of an input string or binary value.
`static Column`	`listagg(Column col)`	Returns the concatenated input values, separated by empty string.
`static Column`	`listagg(Column col, String delimiter)`	Returns the concatenated input values, separated by `delimiter` string.
`static Column`	`listagg(Column col, String delimiter, boolean isDistinct)`	Returns the concatenated input values, separated by `delimiter` string.
`static Column`	`lit(Object literal)`	Creates a Column expression for a literal value.
`static Column`	`locate(Column substr, Column str, int pos)`	Locate the position of the first occurrence of substr in a string column, after position pos.
`static Column`	`locate(String substr, Column str)`	Locate the position of the first occurrence of substr in a string column, after position pos.
`static Column`	`log(Column base, Column a)`	Returns the logarithm of a numeric expression.
`static Column`	`log10(Column col)`	Computes the logarithm of the given value in base 10.
`static Column`	`log10(String s)`	Computes the logarithm of the given value in base 10.
`static Column`	`log1p(Column col)`	Computes the logarithm of the given value in base 10.
`static Column`	`log1p(String s)`	Computes the logarithm of the given value in base 10.
`static Column`	`lower(Column e)`	Returns the input string with all characters converted to lowercase.
`static Column`	`lpad(Column str, Column len, Column pad)`	Left-pads a string with characters from another string, or left-pads a binary value with bytes from another binary value.
`static Column`	`ltrim(Column e)`	Removes leading characters, including whitespace, from a string.
`static Column`	`ltrim(Column e, Column trimString)`	Removes leading characters, including whitespace, from a string.
`static Column`	`max(Column col)`	Returns the maximum value for the records in a group.
`static Column`	`max(String colName)`	Returns the maximum value for the records in a group.
`static Column`	`md5(Column e)`	Returns a 32-character hex-encoded string containing the 128-bit MD5 message digest.
`static Column`	`mean(Column col)`	Returns the average of non-NULL records.
`static Column`	`mean(String colName)`	Returns the average of non-NULL records.
`static Column`	`median(Column col)`	Returns the median value for the records in a group.
`static Column`	`min(Column col)`	Returns the minimum value for the records in a group.
`static Column`	`min(String colName)`	Returns the minimum value for the records in a group.
`static Column`	`minute(Column e)`	Extracts the minute from a date or timestamp.
`static Column`	`month(Column e)`	Extracts the month from a date or timestamp.
`static Column`	`monthname(Column expr)`	Extracts the three-letter month name from the specified date or timestamp.
`static Column`	`negate(Column col)`	Returns the negation of the value in the column (equivalent to a unary minus).
`static Column`	`next_day(Column date, Column dayOfWeek)`	Returns the date of the first specified DOW (day of week) that occurs after the input date.
`static Column`	`not(Column col)`	Returns the inverse of a boolean expression.
`static Column`	`ntile(int n)`	Window function: returns the ntile group id (from 1 to `n` inclusive) in an ordered window partition.
`static Column`	`ntile(Column col)`	Divides an ordered data set equally into the number of buckets specified by n.
`static Column`	`object_construct(Column... key_values)`	Returns an OBJECT constructed from the arguments.
`static Column`	`object_delete(Column obj, Column key1, Column... keys)`	Returns an object containing the contents of the input (i.e.source) object with one or more keys removed.
`static Column`	`object_insert(Column obj, Column key, Column value)`	Returns an object consisting of the input object with a new key-value pair inserted.
`static Column`	`object_insert(Column obj, Column key, Column value, Column update_flag)`	Returns an object consisting of the input object with a new key-value pair inserted (or an existing key updated with a new value).
`static Column`	`object_keys(Column obj)`	Returns an array containing the list of keys in the input object.
`static Column`	`object_pick(Column obj, Column key1, Column... keys)`	Returns a new OBJECT containing some of the key-value pairs from an existing object.
`static Column`	`objectagg(Column key, Column value)`	Returns one OBJECT per group.
`static Column`	`parse_json(Column col)`	Parse the value of the specified column as a JSON string and returns the resulting JSON document.
`static Column`	`parse_xml(Column col)`	Parse the value of the specified column as a JSON string and returns the resulting XML document.
`static Column`	`percent_rank()`	Returns the relative rank of a value within a group of values, specified as a percentage ranging from 0.0 to 1.0.
`static Column`	`pow(Column l, Column r)`	Returns a number (l) raised to the specified power (r).
`static Column`	`previous_day(Column date, Column dayOfWeek)`	Returns the date of the first specified DOW (day of week) that occurs before the input date.
`static Column`	`quarter(Column e)`	Extracts the quarter from a date or timestamp.
`static Column`	`radians(Column e)`	Converts degrees to radians.
`static Column`	`randn()`	Generate a column with independent and identically distributed (i.i.d.) samples from the standard normal distribution.
`static Column`	`randn(long seed)`	Generate a column with independent and identically distributed (i.i.d.) samples from the standard normal distribution.
`static Column`	`random()`	Each call returns a pseudo-random 64-bit integer.
`static Column`	`random(long seed)`	Each call returns a pseudo-random 64-bit integer.
`static Column`	`rank()`	Returns the rank of a value within an ordered group of values.
`static Column`	`regexp_count(Column strExpr, Column pattern)`	Returns the number of times that a pattern occurs in a strExpr.
`static Column`	`regexp_count(Column strExpr, Column pattern, Column position, Column parameters)`	Returns the number of times that a pattern occurs in a strExpr.
`static Column`	`regexp_extract(Column col, String exp, Integer position, Integer Occurences, Integer grpIdx)`	Signature - snowflake.snowpark.functions.regexp_extract (value: Union[Column, str], regexp: Union[Column, str], idx: int) Column Extract a specific group matched by a regex, from the specified string column.
`static Column`	`regexp_replace(Column strExpr, Column pattern)`	Returns the subject with the specified pattern (or all occurrences of the pattern) removed.
`static Column`	`regexp_replace(Column strExpr, Column pattern, Column replacement)`	Returns the subject with the specified pattern (or all occurrences of the pattern) replaced by a replacement string.
`static Column`	`repeat(Column str, Column n)`	Builds a string by repeating the input for the specified number of times.
`static Column`	`replace(Column strExpr, Column pattern)`	Removes all occurrences of a specified strExpr, and optionally replaces them with replacement.
`static Column`	`replace(Column strExpr, Column pattern, Column replacement)`	Removes all occurrences of a specified strExpr, and optionally replaces them with replacement.
`static Column`	`reverse(Column name)`	Wrapper for Snowflake built-in reverse function.
`static Column`	`right(Column strExpr, Column lengthExpr)`	Returns a right most substring of strExpr.
`static Column`	`round(Column e)`	Rounds the numeric values of the given column `e` to 0 decimal places using the half away from zero rounding mode.
`static Column`	`round(Column e, int scale)`	Rounds the numeric values of the given column `e` to the `scale` decimal places using the half away from zero rounding mode.
`static Column`	`round(Column e, Column scale)`	Rounds the numeric values of the given column `e` to the `scale` decimal places using the half away from zero rounding mode.
`static Column`	`row_number()`	Returns a unique row number for each row within a window partition.
`static Column`	`rpad(Column str, Column len, Column pad)`	Right-pads a string with characters from another string, or right-pads a binary value with bytes from another binary value.
`static Column`	`rtrim(Column e)`	Removes trailing characters, including whitespace, from a string.
`static Column`	`rtrim(Column e, Column trimString)`	Removes trailing characters, including whitespace, from a string.
`static Column`	`second(Column e)`	Extracts the second from a date or timestamp.
`static Column`	`seq1()`	Generates a sequence of monotonically increasing integers, with wrap-around.
`static Column`	`seq1(boolean startsFromZero)`	Generates a sequence of monotonically increasing integers, with wrap-around.
`static Column`	`seq2()`	Generates a sequence of monotonically increasing integers, with wrap-around.
`static Column`	`seq2(boolean startsFromZero)`	Generates a sequence of monotonically increasing integers, with wrap-around.
`static Column`	`seq4()`	Generates a sequence of monotonically increasing integers, with wrap-around.
`static Column`	`seq4(boolean startsFromZero)`	Generates a sequence of monotonically increasing integers, with wrap-around.
`static Column`	`seq8()`	Generates a sequence of monotonically increasing integers, with wrap-around.
`static Column`	`seq8(boolean startsFromZero)`	Generates a sequence of monotonically increasing integers, with wrap-around.
`static Column`	`sha1(Column e)`	Returns a 40-character hex-encoded string containing the 160-bit SHA-1 message digest.
`static Column`	`sha2(Column e, int numBits)`	Returns a hex-encoded string containing the N-bit SHA-2 message digest, where N is the specified output digest size.
`static Column`	`shiftleft(Column c, int numBits)`	Shift the given value numBits left.
`static Column`	`shiftright(Column c, int numBits)`	Shift the given value numBits right.
`static Column`	`sign(Column col)`	Returns the sign of its argument:
`static Column`	`signum(Column col)`	Returns the sign of its argument:
`static Column`	`sin(Column e)`	Computes the sine of its argument; the argument should be expressed in radians.
`static Column`	`sinh(Column e)`	Computes the hyperbolic sine of its argument.
`static Column`	`size(Column col)`	Returns the size of the input ARRAY.
`static Column`	`skew(Column col)`	Returns the sample skewness of non-NULL records.
`static Column`	`soundex(Column e)`	Returns a string that contains a phonetic representation of the input string.
`static Column`	`split(Column str, Column pattern)`	Splits a given string with a given separator and returns the result in an array of strings.
`static Column`	`sqlExpr(String sqlText)`	Creates a Column expression from row SQL text.
`static Column`	`sqrt(Column col)`	Returns the square-root of a non-negative numeric expression.
`static Column`	`startswith(Column col, Column str)`	Returns true if col starts with str.
`static Column`	`stddev(Column col)`	Returns the sample standard deviation (square root of sample variance) of non-NULL values.
`static Column`	`stddev_pop(Column col)`	Returns the population standard deviation (square root of variance) of non-NULL values.
`static Column`	`stddev_samp(Column col)`	Returns the sample standard deviation (square root of sample variance) of non-NULL values.
`static Column`	`strip_null_value(Column col)`	Converts a JSON "null" value in the specified column to a SQL NULL value.
`static Column`	`strtok_to_array(Column array)`	Tokenizes the given string using the given set of delimiters and returns the tokens as an array.
`static Column`	`strtok_to_array(Column array, Column delimiter)`	Tokenizes the given string using the given set of delimiters and returns the tokens as an array.
`static Column`	`substring(Column str, Column pos, Column len)`	Returns the portion of the string or binary value str, starting from the character/byte specified by pos, with limited length.
`static Column`	`substring_index(String col, String delim, Integer count)`	Returns the substring from string str before count occurrences of the delimiter delim.
`static Column`	`sum(Column col)`	Returns the sum of non-NULL records in a group.
`static Column`	`sum(String colName)`	Returns the sum of non-NULL records in a group.
`static Column`	`sum_distinct(Column col)`	Returns the sum of non-NULL distinct records in a group.
`static Column`	`sysdate()`	Returns the current timestamp for the system, but in the UTC time zone.
`static Column`	`tan(Column e)`	Computes the tangent of its argument; the argument should be expressed in radians.
`static Column`	`tanh(Column e)`	Computes the hyperbolic tangent of its argument.
`static Column`	`time_from_parts(Column hour, Column minute, Column second)`	Creates a time from individual numeric components.
`static Column`	`time_from_parts(Column hour, Column minute, Column second, Column nanosecond)`	Creates a time from individual numeric components.
`static Column`	`timestamp_from_parts(Column dateExpr, Column timeExpr)`	Creates a timestamp from individual numeric components.
`static Column`	`timestamp_from_parts(Column year, Column month, Column day, Column hour, Column minute, Column second)`	Creates a timestamp from individual numeric components.
`static Column`	`timestamp_from_parts(Column year, Column month, Column day, Column hour, Column minute, Column second, Column nanosecond)`	Creates a timestamp from individual numeric components.
`static Column`	`timestamp_ltz_from_parts(Column year, Column month, Column day, Column hour, Column minute, Column second)`	Creates a timestamp from individual numeric components.
`static Column`	`timestamp_ltz_from_parts(Column year, Column month, Column day, Column hour, Column minute, Column second, Column nanosecond)`	Creates a timestamp from individual numeric components.
`static Column`	`timestamp_ntz_from_parts(Column dateExpr, Column timeExpr)`	Creates a timestamp from individual numeric components.
`static Column`	`timestamp_ntz_from_parts(Column year, Column month, Column day, Column hour, Column minute, Column second)`	Creates a timestamp from individual numeric components.
`static Column`	`timestamp_ntz_from_parts(Column year, Column month, Column day, Column hour, Column minute, Column second, Column nanosecond)`	Creates a timestamp from individual numeric components.
`static Column`	`timestamp_tz_from_parts(Column year, Column month, Column day, Column hour, Column minute, Column second)`	Creates a timestamp from individual numeric components.
`static Column`	`timestamp_tz_from_parts(Column year, Column month, Column day, Column hour, Column minute, Column second, Column nanosecond)`	Creates a timestamp from individual numeric components.
`static Column`	`timestamp_tz_from_parts(Column year, Column month, Column day, Column hour, Column minute, Column second, Column nanosecond, Column timezone)`	Creates a timestamp from individual numeric components.
`static Column`	`to_array(Column col)`	Converts the input expression into an array:
`static Column`	`to_date(Column e)`	Converts an input expression to a date.
`static Column`	`to_date(Column e, Column fmt)`	Converts an input expression to a date.
`static Column`	`to_decimal(Column expr, int precision, int scale)`	Converts an input expression to a decimal
`static Column`	`to_json(Column col)`	Converts any VARIANT value to a string containing the JSON representation of the value.
`static Column`	`to_object(Column col)`	Converts the input value to an object:
`static Column`	`to_timestamp(Column s)`	Converts an input expression into the corresponding timestamp.
`static Column`	`to_timestamp(Column s, Column fmt)`	Converts an input expression into the corresponding timestamp.
`static Column`	`to_variant(Column col)`	Converts any value to VARIANT value or NULL (if input is NULL).
`static Column`	`to_xml(Column col)`	Converts any VARIANT value to a string containing the XML representation of the value.
`static Column`	`toScalar(DataFrame df)`	Generates a Column representing the result of the input DataFrame.
`static Column`	`translate(Column src, Column matchingString, Column replaceString)`	Translates src from the characters in matchingString to the characters in replaceString.
`static Column`	`trim(Column e, Column trimString)`	Removes leading and trailing characters from a string.
`static Column`	`trunc(Column expr, Column scale)`	Rounds the input expression down to the nearest (or equal) integer closer to zero, or to the nearest equal or smaller value with the specified number of places after the decimal point.
`static UserDefinedFunction`	`udf(JavaUDF0<?> func, DataType output)`	Registers a Java Lambda of 0 argument as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF1<?,?> func, DataType input, DataType output)`	Registers a Java Lambda of 1 argument as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF10<?,?,?,?,?,?,?,?,?,?,?> func, DataType[] input, DataType output)`	Registers a Java Lambda of 10 arguments as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF11<?,?,?,?,?,?,?,?,?,?,?,?> func, DataType[] input, DataType output)`	Registers a Java Lambda of 11 arguments as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF12<?,?,?,?,?,?,?,?,?,?,?,?,?> func, DataType[] input, DataType output)`	Registers a Java Lambda of 12 arguments as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF13<?,?,?,?,?,?,?,?,?,?,?,?,?,?> func, DataType[] input, DataType output)`	Registers a Java Lambda of 13 arguments as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF14<?,?,?,?,?,?,?,?,?,?,?,?,?,?,?> func, DataType[] input, DataType output)`	Registers a Java Lambda of 14 arguments as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF15<?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?> func, DataType[] input, DataType output)`	Registers a Java Lambda of 15 arguments as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF16<?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?> func, DataType[] input, DataType output)`	Registers a Java Lambda of 16 arguments as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF17<?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?> func, DataType[] input, DataType output)`	Registers a Java Lambda of 17 arguments as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF18<?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?> func, DataType[] input, DataType output)`	Registers a Java Lambda of 18 arguments as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF19<?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?> func, DataType[] input, DataType output)`	Registers a Java Lambda of 19 arguments as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF2<?,?,?> func, DataType[] input, DataType output)`	Registers a Java Lambda of 2 arguments as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF20<?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?> func, DataType[] input, DataType output)`	Registers a Java Lambda of 20 arguments as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF21<?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?> func, DataType[] input, DataType output)`	Registers a Java Lambda of 21 arguments as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF22<?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?> func, DataType[] input, DataType output)`	Registers a Java Lambda of 22 arguments as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF3<?,?,?,?> func, DataType[] input, DataType output)`	Registers a Java Lambda of 3 arguments as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF4<?,?,?,?,?> func, DataType[] input, DataType output)`	Registers a Java Lambda of 4 arguments as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF5<?,?,?,?,?,?> func, DataType[] input, DataType output)`	Registers a Java Lambda of 5 arguments as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF6<?,?,?,?,?,?,?> func, DataType[] input, DataType output)`	Registers a Java Lambda of 6 arguments as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF7<?,?,?,?,?,?,?,?> func, DataType[] input, DataType output)`	Registers a Java Lambda of 7 arguments as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF8<?,?,?,?,?,?,?,?,?> func, DataType[] input, DataType output)`	Registers a Java Lambda of 8 arguments as a Snowflake UDF and returns the UDF.
`static UserDefinedFunction`	`udf(JavaUDF9<?,?,?,?,?,?,?,?,?,?> func, DataType[] input, DataType output)`	Registers a Java Lambda of 9 arguments as a Snowflake UDF and returns the UDF.
`static Column`	`unbase64(Column c)`	Decodes a BASE64 encoded string column and returns it as a column.
`static Column`	`unhex(Column c)`	Inverse of hex.
`static Column`	`uniform(Column min, Column max, Column gen)`	Returns a uniformly random number, in the inclusive range (`min`, `max`)
`static Column`	`unix_timestamp(Column c)`	Returns the current Unix timestamp (in seconds) as a long.
`static Column`	`upper(Column e)`	Returns the input string with all characters converted to uppercase.
`static Column`	`var_pop(Column col)`	Returns the population variance of non-NULL records in a group.
`static Column`	`var_samp(Column col)`	Returns the sample variance of non-NULL records in a group.
`static Column`	`variance(Column col)`	Returns the sample variance of non-NULL records in a group.
`static Column`	`weekofyear(Column e)`	Extracts the week of year from a date or timestamp.
`static CaseExpr`	`when(Column condition, Column value)`	Works like a cascading if-then-else statement.
`static Column`	`xmlget(Column xml, Column tag)`	Extracts the first XML element object (often referred to as simply a tag) from a content of outer XML element object by the name of the tag
`static Column`	`xmlget(Column xml, Column tag, Column instance)`	Extracts an XML element object (often referred to as simply a tag) from a content of outer XML element object by the name of the tag and its instance number (counting from 0).
`static Column`	`year(Column e)`	Extracts the year from a date or timestamp.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Method Detail
  - col
```
public static Column col(String name)
```
    Creates a Column with the specified name.
    
    Parameters:
    
    name - The column name
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - col
```
public static Column col(DataFrame df)
```
    Generates a Column representing the result of the input DataFrame. The parameter 'df' should have one column and must produce one row. It is an alias of toScalar function.
    For example:
    DataFrame df1 = session.sql("select * from values(1,1,1),(2,2,3) as T(c1, c2, c3)"); DataFrame df2 = session.sql("select * from values(2) as T(a)"); df1.select(Functions.col("c1"), Functions.col(df2)).show();
    Parameters:
    
    df - The sub-query Dataframe
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - toScalar
```
public static Column toScalar(DataFrame df)
```
    Generates a Column representing the result of the input DataFrame. The parameter 'df' should have one column and must produce one row.
    For example:
    DataFrame df1 = session.sql("select * from values(1,1,1),(2,2,3) as T(c1, c2, c3)"); DataFrame df2 = session.sql("select * from values(2) as T(a)"); df1.select(Functions.col("c1"), Functions.toScalar(df2)).show();
    Parameters:
    
    df - The sub-query Dataframe
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - lit
```
public static Column lit(Object literal)
```
    Creates a Column expression for a literal value.
    
    Parameters:
    
    literal - The literal value
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - lead
```
public static Column lead(Column col,
                          int offset,
                          Column defaultValue)
```
    Accesses data in a subsequent row in the same result set without having to join the table to itself.
    
    Parameters:
    
    col - The input column
    
    offset - The function offset
    
    defaultValue - The default value of lead function
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - lead
```
public static Column lead(Column col,
                          int offset)
```
    Accesses data in a subsequent row in the same result set without having to join the table to itself.
    
    Parameters:
    
    col - The input column
    
    offset - The function offset
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - lead
```
public static Column lead(Column col)
```
    Accesses data in a subsequent row in the same result set without having to join the table to itself.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - sqlExpr
```
public static Column sqlExpr(String sqlText)
```
    Creates a Column expression from row SQL text.
    Note that the function does not interpret or check the SQL text.
    
    Parameters:
    
    sqlText - The SQL query
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - approx_count_distinct
```
public static Column approx_count_distinct(Column col)
```
    Uses HyperLogLog to return an approximation of the distinct cardinality of the input (i.e. returns an approximation of `COUNT(DISTINCT col)`).
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - avg
```
public static Column avg(Column col)
```
    Returns the average of non-NULL records. If all records inside a group are NULL, the function returns NULL.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - corr
```
public static Column corr(Column col1,
                          Column col2)
```
    Returns the correlation coefficient for non-null pairs in a group.
    
    Parameters:
    
    col1 - The first input column
    
    col2 - The second input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - count
```
public static Column count(Column col)
```
    Returns either the number of non-NULL records for the specified columns, or the total number of records.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - countDistinct
```
public static Column countDistinct(String first,
                                   String... remaining)
```
    Returns either the number of non-NULL distinct records for the specified columns, or the total number of the distinct records. An alias of count_distinct.
    
    Parameters:
    
    first - The first column name
    
    remaining - A column name list except the first column name
    
    Returns:
    
    The result column
    
    Since:
    
    1.13.0
  - countDistinct
```
public static Column countDistinct(Column first,
                                   Column... remaining)
```
    Returns either the number of non-NULL distinct records for the specified columns, or the total number of the distinct records. An alias of count_distinct.
    
    Parameters:
    
    first - The first column
    
    remaining - A column list except the first column
    
    Returns:
    
    The result column
    
    Since:
    
    1.13.0
  - count_distinct
```
public static Column count_distinct(Column first,
                                    Column... remaining)
```
    Returns either the number of non-NULL distinct records for the specified columns, or the total number of the distinct records.
    
    Parameters:
    
    first - The first column
    
    remaining - A column list except the first column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - covar_pop
```
public static Column covar_pop(Column col1,
                               Column col2)
```
    Calculates the population covariance for non-null pairs in a group.
    
    Parameters:
    
    col1 - The first column
    
    col2 - The second column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - covar_samp
```
public static Column covar_samp(Column col1,
                                Column col2)
```
    Calculates the sample covariance for non-null pairs in a group.
    
    Parameters:
    
    col1 - The first column
    
    col2 - The second column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - grouping
```
public static Column grouping(Column col)
```
    Describes which of a list of expressions are grouped in a row produced by a GROUP BY query.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - grouping_id
```
public static Column grouping_id(Column... cols)
```
    Describes which of a list of expressions are grouped in a row produced by a GROUP BY query.
    
    Parameters:
    
    cols - A list of input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - kurtosis
```
public static Column kurtosis(Column col)
```
    Returns the population excess kurtosis of non-NULL records. If all records inside a group are NULL, the function returns NULL.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - max
```
public static Column max(String colName)
```
    Returns the maximum value for the records in a group. NULL values are ignored unless all the records are NULL, in which case a NULL value is returned.
    Example:
    DataFrame df = session.createDataFrame( new Row[] {Row.create(1), Row.create(3), Row.create(10), Row.create(1), Row.create(3)}, StructType.create(new StructField("x", DataTypes.IntegerType)) ); df.select(max("x")).show(); ---------------- |"MAX(""X"")" | ---------------- |10 | ----------------
    Parameters:
    
    colName - The name of the column
    
    Returns:
    
    The maximum value of the given column
    
    Since:
    
    1.13.0
  - max
```
public static Column max(Column col)
```
    Returns the maximum value for the records in a group. NULL values are ignored unless all the records are NULL, in which case a NULL value is returned.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - min
```
public static Column min(String colName)
```
    Returns the minimum value for the records in a group. NULL values are ignored unless all the records are NULL, in which case a NULL value is returned.
    Example:
    DataFrame df = session.createDataFrame( new Row[] {Row.create(1), Row.create(3), Row.create(10), Row.create(1), Row.create(3)}, StructType.create(new StructField("x", DataTypes.IntegerType)) ); df.select(min("x")).show(); ---------------- |"MIN(""X"")" | ---------------- |1 | ----------------
    Parameters:
    
    colName - The name of the column
    
    Returns:
    
    The minimum value of the given column
    
    Since:
    
    1.13.0
  - min
```
public static Column min(Column col)
```
    Returns the minimum value for the records in a group. NULL values are ignored unless all the records are NULL, in which case a NULL value is returned.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - mean
```
public static Column mean(String colName)
```
    Returns the average of non-NULL records. If all records inside a group are NULL, the function returns NULL. Alias of avg.
    Example:
    DataFrame df = session.createDataFrame( new Row[] {Row.create(1), Row.create(3), Row.create(10), Row.create(1), Row.create(3)}, StructType.create(new StructField("x", DataTypes.IntegerType)) ); df.select(mean("x")).show(); ---------------- |"AVG(""X"")" | ---------------- |3.600000 | ----------------
    Parameters:
    
    colName - The name of the column
    
    Returns:
    
    The average value of the given column
    
    Since:
    
    1.13.0
  - mean
```
public static Column mean(Column col)
```
    Returns the average of non-NULL records. If all records inside a group are NULL, the function returns NULL. Alias of avg
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - median
```
public static Column median(Column col)
```
    Returns the median value for the records in a group. NULL values are ignored unless all the records are NULL, in which case a NULL value is returned.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - skew
```
public static Column skew(Column col)
```
    Returns the sample skewness of non-NULL records. If all records inside a group are NULL, the function returns NULL.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - stddev
```
public static Column stddev(Column col)
```
    Returns the sample standard deviation (square root of sample variance) of non-NULL values. If all records inside a group are NULL, returns NULL.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - stddev_samp
```
public static Column stddev_samp(Column col)
```
    Returns the sample standard deviation (square root of sample variance) of non-NULL values. If all records inside a group are NULL, returns NULL. Alias of stddev
    
    Parameters:
    
    col - The input Column
    
    Returns:
    
    The result Column
    
    Since:
    
    0.9.0
  - stddev_pop
```
public static Column stddev_pop(Column col)
```
    Returns the population standard deviation (square root of variance) of non-NULL values. If all records inside a group are NULL, returns NULL.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - sum
```
public static Column sum(Column col)
```
    Returns the sum of non-NULL records in a group. If all records inside a group are NULL, the function returns NULL.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - sum
```
public static Column sum(String colName)
```
    Returns the sum of non-NULL records in a group. If all records inside a group are NULL, the function returns NULL.
    
    Parameters:
    
    colName - The input column name
    
    Returns:
    
    The result column
    
    Since:
    
    1.12.0
  - sum_distinct
```
public static Column sum_distinct(Column col)
```
    Returns the sum of non-NULL distinct records in a group. You can use the DISTINCT keyword to compute the sum of unique non-null values. If all records inside a group are NULL, the function returns NULL.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - variance
```
public static Column variance(Column col)
```
    Returns the sample variance of non-NULL records in a group. If all records inside a group are NULL, a NULL is returned.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - var_samp
```
public static Column var_samp(Column col)
```
    Returns the sample variance of non-NULL records in a group. If all records inside a group are NULL, a NULL is returned. Alias of var_samp
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - var_pop
```
public static Column var_pop(Column col)
```
    Returns the population variance of non-NULL records in a group. If all records inside a group are NULL, a NULL is returned.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - approx_percentile
```
public static Column approx_percentile(Column col,
                                       double percentile)
```
    Returns an approximated value for the desired percentile. This function uses the t-Digest algorithm.
    
    Parameters:
    
    col - The input column
    
    percentile - The desired percentile
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - approx_percentile_accumulate
```
public static Column approx_percentile_accumulate(Column col)
```
    Returns the internal representation of the t-Digest state (as a JSON object) at the end of aggregation. This function uses the t-Digest algorithm.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - approx_percentile_estimate
```
public static Column approx_percentile_estimate(Column col,
                                                double percentile)
```
    Returns the desired approximated percentile value for the specified t-Digest state. APPROX_PERCENTILE_ESTIMATE(APPROX_PERCENTILE_ACCUMULATE(.)) is equivalent to APPROX_PERCENTILE(.).
    
    Parameters:
    
    col - The input column
    
    percentile - The desired percentile
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - approx_percentile_combine
```
public static Column approx_percentile_combine(Column state)
```
    Combines (merges) percentile input states into a single output state.
    This allows scenarios where APPROX_PERCENTILE_ACCUMULATE is run over horizontal partitions of the same table, producing an algorithm state for each table partition. These states can later be combined using APPROX_PERCENTILE_COMBINE, producing the same output state as a single run of APPROX_PERCENTILE_ACCUMULATE over the entire table.
    
    Parameters:
    
    state - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - cume_dist
```
public static Column cume_dist()
```
    Finds the cumulative distribution of a value with regard to other values within the same window partition.
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - dense_rank
```
public static Column dense_rank()
```
    Returns the rank of a value within a group of values, without gaps in the ranks. The rank value starts at 1 and continues up sequentially. If two values are the same, they will have the same rank.
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - lag
```
public static Column lag(Column col,
                         int offset,
                         Column defaultValue)
```
    Accesses data in a previous row in the same result set without having to join the table to itself.
    
    Parameters:
    
    col - The input column
    
    offset - The function offset
    
    defaultValue - The default value
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - lag
```
public static Column lag(Column col,
                         int offset)
```
    Accesses data in a previous row in the same result set without having to join the table to itself.
    
    Parameters:
    
    col - The input column
    
    offset - The function offset
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - lag
```
public static Column lag(Column col)
```
    Accesses data in a previous row in the same result set without having to join the table to itself.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - ntile
```
public static Column ntile(Column col)
```
    Divides an ordered data set equally into the number of buckets specified by n. Buckets are sequentially numbered 1 through n.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - percent_rank
```
public static Column percent_rank()
```
    Returns the relative rank of a value within a group of values, specified as a percentage ranging from 0.0 to 1.0.
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - rank
```
public static Column rank()
```
    Returns the rank of a value within an ordered group of values. The rank value starts at 1 and continues up.
    
    Returns:
    
    The result column
    
    Since:
    
    0.1.0
  - row_number
```
public static Column row_number()
```
    Returns a unique row number for each row within a window partition. The row number starts at 1 and continues up sequentially.
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - coalesce
```
public static Column coalesce(Column... cols)
```
    Returns the first non-NULL expression among its arguments, or NULL if all its arguments are NULL.
    
    Parameters:
    
    cols - The list of input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - equal_nan
```
public static Column equal_nan(Column col)
```
    Returns true if the value in the column is not a number (NaN).
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - is_null
```
public static Column is_null(Column col)
```
    Returns true if the value in the column is null.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.1.0
  - negate
```
public static Column negate(Column col)
```
    Returns the negation of the value in the column (equivalent to a unary minus).
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - not
```
public static Column not(Column col)
```
    Returns the inverse of a boolean expression.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - random
```
public static Column random(long seed)
```
    Each call returns a pseudo-random 64-bit integer.
    
    Parameters:
    
    seed - The random seed
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - random
```
public static Column random()
```
    Each call returns a pseudo-random 64-bit integer.
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - bitnot
```
public static Column bitnot(Column col)
```
    Returns the bitwise negation of a numeric expression.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - to_decimal
```
public static Column to_decimal(Column expr,
                                int precision,
                                int scale)
```
    Converts an input expression to a decimal
    
    Parameters:
    
    expr - The input column
    
    precision - The precision
    
    scale - The scale
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - div0
```
public static Column div0(Column dividend,
                          Column divisor)
```
    Performs division like the division operator (/), but returns 0 when the divisor is 0 (rather than reporting an error).
    
    Parameters:
    
    dividend - The dividend
    
    divisor - The divisor
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - sqrt
```
public static Column sqrt(Column col)
```
    Returns the square-root of a non-negative numeric expression.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - abs
```
public static Column abs(Column col)
```
    Returns the absolute value of a numeric expression.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - acos
```
public static Column acos(Column col)
```
    Computes the inverse cosine (arc cosine) of its input; the result is a number in the interval [-pi, pi].
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - asin
```
public static Column asin(Column col)
```
    Computes the inverse sine (arc sine) of its argument; the result is a number in the interval [-pi, pi].
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - atan
```
public static Column atan(Column col)
```
    Computes the inverse tangent (arc tangent) of its argument; the result is a number in the interval [-pi, pi].
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - atan2
```
public static Column atan2(Column y,
                           Column x)
```
    Computes the inverse tangent (arc tangent) of the ratio of its two arguments.
    
    Parameters:
    
    y - The value of y
    
    x - The value of x
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - ceil
```
public static Column ceil(Column col)
```
    Returns values from the specified column rounded to the nearest equal or larger integer.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - floor
```
public static Column floor(Column col)
```
    Returns values from the specified column rounded to the nearest equal or smaller integer.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - cos
```
public static Column cos(Column col)
```
    Computes the cosine of its argument; the argument should be expressed in radians.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - cosh
```
public static Column cosh(Column col)
```
    Computes the hyperbolic cosine of its argument.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - exp
```
public static Column exp(Column col)
```
    Computes Euler's number e raised to a floating-point value.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - factorial
```
public static Column factorial(Column col)
```
    Computes the factorial of its input. The input argument must be an integer expression in the range of 0 to 33.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - greatest
```
public static Column greatest(Column... cols)
```
    Returns the largest value from a list of expressions. If any of the argument values is NULL, the result is NULL. GREATEST supports all data types, including VARIANT.
    
    Parameters:
    
    cols - The list of input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - least
```
public static Column least(Column... cols)
```
    Returns the smallest value from a list of expressions. LEAST supports all data types, including VARIANT.
    
    Parameters:
    
    cols - The list of input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - log
```
public static Column log(Column base,
                         Column a)
```
    Returns the logarithm of a numeric expression.
    
    Parameters:
    
    base - The value of base
    
    a - the value of A
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - pow
```
public static Column pow(Column l,
                         Column r)
```
    Returns a number (l) raised to the specified power (r).
    
    Parameters:
    
    l - The value of l
    
    r - The value of r
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - round
```
public static Column round(Column e,
                           Column scale)
```
    Rounds the numeric values of the given column e to the scale decimal places using the half away from zero rounding mode.
    Example:
    DataFrame df = session.sql("select * from (values (-3.78), (-2.55), (1.23), (2.55), (3.78)) as T(a)"); df.select(round(col("a"), lit(1)).alias("round")).show(); ----------- |"ROUND" | ----------- |-3.8 | |-2.6 | |1.2 | |2.6 | |3.8 | -----------
    Parameters:
    
    e - The input column
    
    scale - The scale
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - round
```
public static Column round(Column e)
```
    Rounds the numeric values of the given column e to 0 decimal places using the half away from zero rounding mode.
    Example:
    DataFrame df = session.sql("select * from (values (-3.7), (-2.5), (1.2), (2.5), (3.7)) as T(a)"); df.select(round(col("a")).alias("round")).show(); ----------- |"ROUND" | ----------- |-4 | |-3 | |1 | |3 | |4 | -----------
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - round
```
public static Column round(Column e,
                           int scale)
```
    Rounds the numeric values of the given column e to the scale decimal places using the half away from zero rounding mode.
    Example:
    DataFrame df = session.sql("select * from (values (-3.78), (-2.55), (1.23), (2.55), (3.78)) as T(a)"); df.select(round(col("a"), 1).alias("round")).show(); ----------- |"ROUND" | ----------- |-3.8 | |-2.6 | |1.2 | |2.6 | |3.8 | -----------
    Parameters:
    
    e - The column of numeric values to round.
    
    scale - The number of decimal places to which e should be rounded.
    
    Returns:
    
    A new column containing the rounded numeric values.
    
    Since:
    
    1.14.0
  - bitshiftleft
```
public static Column bitshiftleft(Column e,
                                  Column numBits)
```
    Shifts the bits for a numeric expression numBits positions to the left.
    
    Parameters:
    
    e - The input column
    
    numBits - The number of bits
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - bitshiftright
```
public static Column bitshiftright(Column e,
                                   Column numBits)
```
    Shifts the bits for a numeric expression numBits positions to the right.
    
    Parameters:
    
    e - The input column
    
    numBits - The number of bits
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - sin
```
public static Column sin(Column e)
```
    Computes the sine of its argument; the argument should be expressed in radians.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - sinh
```
public static Column sinh(Column e)
```
    Computes the hyperbolic sine of its argument.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - tan
```
public static Column tan(Column e)
```
    Computes the tangent of its argument; the argument should be expressed in radians.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - tanh
```
public static Column tanh(Column e)
```
    Computes the hyperbolic tangent of its argument.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.9.0
  - degrees
```
public static Column degrees(Column e)
```
    Converts radians to degrees.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - radians
```
public static Column radians(Column e)
```
    Converts degrees to radians.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - md5
```
public static Column md5(Column e)
```
    Returns a 32-character hex-encoded string containing the 128-bit MD5 message digest.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - sha1
```
public static Column sha1(Column e)
```
    Returns a 40-character hex-encoded string containing the 160-bit SHA-1 message digest.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - sha2
```
public static Column sha2(Column e,
                          int numBits)
```
    Returns a hex-encoded string containing the N-bit SHA-2 message digest, where N is the specified output digest size.
    
    Parameters:
    
    e - The input column
    
    numBits - The number of bits
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - hash
```
public static Column hash(Column... cols)
```
    Returns a signed 64-bit hash value. Note that HASH never returns NULL, even for NULL inputs.
    
    Parameters:
    
    cols - The list of input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - ascii
```
public static Column ascii(Column e)
```
    Returns the ASCII code for the first character of a string. If the string is empty, a value of 0 is returned.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - concat_ws
```
public static Column concat_ws(Column separator,
                               Column... exprs)
```
    Concatenates two or more strings, or concatenates two or more binary values. If any of the values is null, the result is also null.
    
    Parameters:
    
    separator - The separator
    
    exprs - The list of input values
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - initcap
```
public static Column initcap(Column e)
```
    Returns the input string with the first letter of each word in uppercase and the subsequent letters in lowercase.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - length
```
public static Column length(Column e)
```
    Returns the length of an input string or binary value. For strings, the length is the number of characters, and UTF-8 characters are counted as a single character. For binary, the length is the number of bytes.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - lower
```
public static Column lower(Column e)
```
    Returns the input string with all characters converted to lowercase.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - upper
```
public static Column upper(Column e)
```
    Returns the input string with all characters converted to uppercase.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - lpad
```
public static Column lpad(Column str,
                          Column len,
                          Column pad)
```
    Left-pads a string with characters from another string, or left-pads a binary value with bytes from another binary value.
    
    Parameters:
    
    str - The input string
    
    len - The length
    
    pad - The pad
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - rpad
```
public static Column rpad(Column str,
                          Column len,
                          Column pad)
```
    Right-pads a string with characters from another string, or right-pads a binary value with bytes from another binary value.
    
    Parameters:
    
    str - The input string
    
    len - The length
    
    pad - The pad
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - ltrim
```
public static Column ltrim(Column e,
                           Column trimString)
```
    Removes leading characters, including whitespace, from a string.
    
    Parameters:
    
    e - The input column
    
    trimString - The trim string
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - ltrim
```
public static Column ltrim(Column e)
```
    Removes leading characters, including whitespace, from a string.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - rtrim
```
public static Column rtrim(Column e,
                           Column trimString)
```
    Removes trailing characters, including whitespace, from a string.
    
    Parameters:
    
    e - The input column
    
    trimString - The trim string
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - rtrim
```
public static Column rtrim(Column e)
```
    Removes trailing characters, including whitespace, from a string.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - trim
```
public static Column trim(Column e,
                          Column trimString)
```
    Removes leading and trailing characters from a string.
    
    Parameters:
    
    e - The input column
    
    trimString - The trim string
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - repeat
```
public static Column repeat(Column str,
                            Column n)
```
    Builds a string by repeating the input for the specified number of times.
    
    Parameters:
    
    str - The input string
    
    n - The time of repeat
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - soundex
```
public static Column soundex(Column e)
```
    Returns a string that contains a phonetic representation of the input string.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - split
```
public static Column split(Column str,
                           Column pattern)
```
    Splits a given string with a given separator and returns the result in an array of strings.
    
    Parameters:
    
    str - The input string
    
    pattern - The pattern
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - substring
```
public static Column substring(Column str,
                               Column pos,
                               Column len)
```
    Returns the portion of the string or binary value str, starting from the character/byte specified by pos, with limited length.
    
    Parameters:
    
    str - The input string
    
    len - The length
    
    pos - The position
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - any_value
```
public static Column any_value(Column e)
```
    Returns a non-deterministic value for the specified column.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    1.2.0
  - translate
```
public static Column translate(Column src,
                               Column matchingString,
                               Column replaceString)
```
    Translates src from the characters in matchingString to the characters in replaceString.
    
    Parameters:
    
    src - The source column
    
    matchingString - The matching string
    
    replaceString - The replacement
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - contains
```
public static Column contains(Column col,
                              Column str)
```
    Returns true if col contains str.
    
    Parameters:
    
    col - The input column
    
    str - The target string
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - startswith
```
public static Column startswith(Column col,
                                Column str)
```
    Returns true if col starts with str.
    
    Parameters:
    
    col - The input column
    
    str - The target string
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - chr
```
public static Column chr(Column col)
```
    Converts a Unicode code point (including 7-bit ASCII) into the character that matches the input Unicode.
    alias for Snowflake char function.
    
    Parameters:
    
    col - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - add_months
```
public static Column add_months(Column startDate,
                                Column numMonths)
```
    Adds or subtracts a specified number of months to a date or timestamp, preserving the end-of-month information.
    
    Parameters:
    
    startDate - The start date
    
    numMonths - the number of Months
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - current_date
```
public static Column current_date()
```
    Returns the current date of the system.
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - current_timestamp
```
public static Column current_timestamp()
```
    Returns the current timestamp for the system.
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - current_region
```
public static Column current_region()
```
    Returns the name of the region for the account where the current user is logged in.
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - current_time
```
public static Column current_time()
```
    Returns the current time for the system.
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - current_version
```
public static Column current_version()
```
    Returns the current Snowflake version.
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - current_account
```
public static Column current_account()
```
    Returns the account used by the user's current session.
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - current_role
```
public static Column current_role()
```
    Returns the name of the role in use for the current session.
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - current_available_roles
```
public static Column current_available_roles()
```
    Returns a JSON string that lists all roles granted to the current user.
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - current_session
```
public static Column current_session()
```
    Returns a unique system identifier for the Snowflake session corresponding to the present connection.
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - current_statement
```
public static Column current_statement()
```
    Returns the SQL text of the statement that is currently executing.
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - current_user
```
public static Column current_user()
```
    Returns the name of the user currently logged into the system.
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - current_database
```
public static Column current_database()
```
    Returns the name of the database in use for the current session.
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - current_schema
```
public static Column current_schema()
```
    Returns the name of the schema in use by the current session.
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - current_schemas
```
public static Column current_schemas()
```
    Returns active search path schemas.
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - current_warehouse
```
public static Column current_warehouse()
```
    Returns the name of the warehouse in use for the current session.
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - sysdate
```
public static Column sysdate()
```
    Returns the current timestamp for the system, but in the UTC time zone.
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - convert_timezone
```
public static Column convert_timezone(Column sourceTimeZone,
                                      Column targetTimeZone,
                                      Column sourceTimestampNTZ)
```
    Converts the given sourceTimestampNTZ from sourceTimeZone to targetTimeZone.
    Supported time zones are listed here
    Example
    df.select(Functions.convert_timezone(Functions.lit("America/Los_Angeles"), Functions.lit("America/New_York"), df.col("time")));
    Parameters:
    
    sourceTimestampNTZ - The timestamp
    
    targetTimeZone - The target time zone
    
    sourceTimeZone - The source time zone
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - convert_timezone
```
public static Column convert_timezone(Column targetTimeZone,
                                      Column sourceTimestamp)
```
    Converts the given sourceTimestampNTZ to targetTimeZone.
    Supported time zones are listed here
    Example
    df.select(Functions.convert_timezone(Functions.lit("America/New_York"), df.col("time")));
    Parameters:
    
    sourceTimestamp - The timestamp
    
    targetTimeZone - The target time zone
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - year
```
public static Column year(Column e)
```
    Extracts the year from a date or timestamp.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - quarter
```
public static Column quarter(Column e)
```
    Extracts the quarter from a date or timestamp.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - month
```
public static Column month(Column e)
```
    Extracts the month from a date or timestamp.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - dayofweek
```
public static Column dayofweek(Column e)
```
    Extracts the day of week from a date or timestamp.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - dayofmonth
```
public static Column dayofmonth(Column e)
```
    Extracts the day of month from a date or timestamp.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - dayofyear
```
public static Column dayofyear(Column e)
```
    Extracts the day of year from a date or timestamp.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - last_day
```
public static Column last_day(Column e)
```
    Returns the last day of the specified date part for a date or timestamp. Commonly used to return the last day of the month for a date or timestamp.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - weekofyear
```
public static Column weekofyear(Column e)
```
    Extracts the week of year from a date or timestamp.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - hour
```
public static Column hour(Column e)
```
    Extracts the hour from a date or timestamp.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - minute
```
public static Column minute(Column e)
```
    Extracts the minute from a date or timestamp.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - second
```
public static Column second(Column e)
```
    Extracts the second from a date or timestamp.
    
    Parameters:
    
    e - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - next_day
```
public static Column next_day(Column date,
                              Column dayOfWeek)
```
    Returns the date of the first specified DOW (day of week) that occurs after the input date.
    
    Parameters:
    
    date - The date
    
    dayOfWeek - The day of week
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - previous_day
```
public static Column previous_day(Column date,
                                  Column dayOfWeek)
```
    Returns the date of the first specified DOW (day of week) that occurs before the input date.
    
    Parameters:
    
    date - The date
    
    dayOfWeek - The day of week
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - to_timestamp
```
public static Column to_timestamp(Column s)
```
    Converts an input expression into the corresponding timestamp.
    
    Parameters:
    
    s - The input column
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - to_timestamp
```
public static Column to_timestamp(Column s,
                                  Column fmt)
```
    Converts an input expression into the corresponding timestamp.
    
    Parameters:
    
    s - The input value
    
    fmt - The time format
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - to_date
```
public static Column to_date(Column e)
```
    Converts an input expression to a date.
    
    Parameters:
    
    e - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - to_date
```
public static Column to_date(Column e,
                             Column fmt)
```
    Converts an input expression to a date.
    
    Parameters:
    
    e - The input value
    
    fmt - The time format
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - date_from_parts
```
public static Column date_from_parts(Column year,
                                     Column month,
                                     Column day)
```
    Creates a date from individual numeric components that represent the year, month, and day of the month.
    
    Parameters:
    
    year - The year
    
    month - The month
    
    day - The day
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - time_from_parts
```
public static Column time_from_parts(Column hour,
                                     Column minute,
                                     Column second,
                                     Column nanosecond)
```
    Creates a time from individual numeric components.
    
    Parameters:
    
    hour - The hour
    
    minute - The minute
    
    second - The second
    
    nanosecond - The nanosecond
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - time_from_parts
```
public static Column time_from_parts(Column hour,
                                     Column minute,
                                     Column second)
```
    Creates a time from individual numeric components.
    
    Parameters:
    
    hour - The hour
    
    minute - The minute
    
    second - The second
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - timestamp_from_parts
```
public static Column timestamp_from_parts(Column year,
                                          Column month,
                                          Column day,
                                          Column hour,
                                          Column minute,
                                          Column second)
```
    Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.
    
    Parameters:
    
    year - The year
    
    month - The month
    
    day - The day
    
    hour - The hour
    
    minute - The minute
    
    second - The second
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - timestamp_from_parts
```
public static Column timestamp_from_parts(Column year,
                                          Column month,
                                          Column day,
                                          Column hour,
                                          Column minute,
                                          Column second,
                                          Column nanosecond)
```
    Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.
    
    Parameters:
    
    year - The year
    
    month - The month
    
    day - The day
    
    hour - The hour
    
    minute - The minute
    
    second - The second
    
    nanosecond - The nanosecond
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - timestamp_from_parts
```
public static Column timestamp_from_parts(Column dateExpr,
                                          Column timeExpr)
```
    Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.
    
    Parameters:
    
    dateExpr - The date expression
    
    timeExpr - The time expression
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - timestamp_ltz_from_parts
```
public static Column timestamp_ltz_from_parts(Column year,
                                              Column month,
                                              Column day,
                                              Column hour,
                                              Column minute,
                                              Column second)
```
    Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.
    
    Parameters:
    
    year - The year
    
    month - The month
    
    day - The day
    
    hour - The hour
    
    minute - The minute
    
    second - The second
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - timestamp_ltz_from_parts
```
public static Column timestamp_ltz_from_parts(Column year,
                                              Column month,
                                              Column day,
                                              Column hour,
                                              Column minute,
                                              Column second,
                                              Column nanosecond)
```
    Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.
    
    Parameters:
    
    year - The year
    
    month - The month
    
    day - The day
    
    hour - The hour
    
    minute - The minute
    
    second - The second
    
    nanosecond - The nanosecond
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - timestamp_ntz_from_parts
```
public static Column timestamp_ntz_from_parts(Column year,
                                              Column month,
                                              Column day,
                                              Column hour,
                                              Column minute,
                                              Column second)
```
    Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.
    
    Parameters:
    
    year - The year
    
    month - The month
    
    day - The day
    
    hour - The hour
    
    minute - The minute
    
    second - The second
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - timestamp_ntz_from_parts
```
public static Column timestamp_ntz_from_parts(Column year,
                                              Column month,
                                              Column day,
                                              Column hour,
                                              Column minute,
                                              Column second,
                                              Column nanosecond)
```
    Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.
    
    Parameters:
    
    year - The year
    
    month - The month
    
    day - The day
    
    hour - The hour
    
    minute - The minute
    
    second - The second
    
    nanosecond - The nanosecond
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - timestamp_ntz_from_parts
```
public static Column timestamp_ntz_from_parts(Column dateExpr,
                                              Column timeExpr)
```
    Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.
    
    Parameters:
    
    dateExpr - The date expression
    
    timeExpr - The time expression
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - timestamp_tz_from_parts
```
public static Column timestamp_tz_from_parts(Column year,
                                             Column month,
                                             Column day,
                                             Column hour,
                                             Column minute,
                                             Column second)
```
    Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.
    
    Parameters:
    
    year - The year
    
    month - The month
    
    day - The day
    
    hour - The hour
    
    minute - The minute
    
    second - The second
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - timestamp_tz_from_parts
```
public static Column timestamp_tz_from_parts(Column year,
                                             Column month,
                                             Column day,
                                             Column hour,
                                             Column minute,
                                             Column second,
                                             Column nanosecond)
```
    Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.
    
    Parameters:
    
    year - The year
    
    month - The month
    
    day - The day
    
    hour - The hour
    
    minute - The minute
    
    second - The second
    
    nanosecond - The nanosecond
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - timestamp_tz_from_parts
```
public static Column timestamp_tz_from_parts(Column year,
                                             Column month,
                                             Column day,
                                             Column hour,
                                             Column minute,
                                             Column second,
                                             Column nanosecond,
                                             Column timezone)
```
    Creates a timestamp from individual numeric components. If no time zone is in effect, the function can be used to create a timestamp from a date expression and a time expression.
    
    Parameters:
    
    year - The year
    
    month - The month
    
    day - The day
    
    hour - The hour
    
    minute - The minute
    
    second - The second
    
    nanosecond - The nanosecond
    
    timezone - The time zone
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - dayname
```
public static Column dayname(Column expr)
```
    Extracts the three-letter day-of-week name from the specified date or timestamp.
    
    Parameters:
    
    expr - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - monthname
```
public static Column monthname(Column expr)
```
    Extracts the three-letter month name from the specified date or timestamp.
    
    Parameters:
    
    expr - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - dateadd
```
public static Column dateadd(String part,
                             Column value,
                             Column expr)
```
    Adds the specified value for the specified date or time art to date or time expr.
    Supported date and time parts are listed here
    Example: add one year on dates
    date.select(Functions.dateadd("year", Functions.lit(1), date.col("date_col")))
    Parameters:
    
    part - The part of time being added
    
    value - The value being added
    
    expr - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - datediff
```
public static Column datediff(String part,
                              Column col1,
                              Column col2)
```
    Calculates the difference between two date, time, or timestamp columns based on the date or time part requested.
    Supported date and time parts are listed here
    Example: year difference between two date columns
    date.select(Functions.datediff("year", date.col("date_col1"), date.col("date_col2")))
    Parameters:
    
    part - The part of time
    
    col1 - The first input value
    
    col2 - The second input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - trunc
```
public static Column trunc(Column expr,
                           Column scale)
```
    Rounds the input expression down to the nearest (or equal) integer closer to zero, or to the nearest equal or smaller value with the specified number of places after the decimal point.
    
    Parameters:
    
    expr - The input value
    
    scale - The scale
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - date_trunc
```
public static Column date_trunc(String format,
                                Column timestamp)
```
    Truncates a DATE, TIME, or TIMESTAMP to the specified precision.
    
    Parameters:
    
    format - The time format
    
    timestamp - The input timestamp
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - concat
```
public static Column concat(Column... exprs)
```
    Concatenates one or more strings, or concatenates one or more binary values. If any of the values is null, the result is also null.
    
    Parameters:
    
    exprs - A list of input values
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - arrays_overlap
```
public static Column arrays_overlap(Column a1,
                                    Column a2)
```
    Compares whether two arrays have at least one element in common. Returns TRUE if there is at least one element in common; otherwise returns FALSE. The function is NULL-safe, meaning it treats NULLs as known values for comparing equality.
    
    Parameters:
    
    a1 - The first input array
    
    a2 - The second input array
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - endswith
```
public static Column endswith(Column expr,
                              Column str)
```
    Returns TRUE if expr ends with str.
    
    Parameters:
    
    expr - The input value
    
    str - The ending string
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - insert
```
public static Column insert(Column baseExpr,
                            Column position,
                            Column length,
                            Column insertExpr)
```
    Replaces a substring of the specified length, starting at the specified position, with a new string or binary value.
    
    Parameters:
    
    baseExpr - The base expression
    
    position - The position
    
    insertExpr - The new expression
    
    length - The length
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - left
```
public static Column left(Column strExpr,
                          Column lengthExpr)
```
    Returns a left most substring of strExpr.
    
    Parameters:
    
    strExpr - The input string
    
    lengthExpr - The length
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - right
```
public static Column right(Column strExpr,
                           Column lengthExpr)
```
    Returns a right most substring of strExpr.
    
    Parameters:
    
    strExpr - The input string
    
    lengthExpr - The length
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - regexp_count
```
public static Column regexp_count(Column strExpr,
                                  Column pattern,
                                  Column position,
                                  Column parameters)
```
    Returns the number of times that a pattern occurs in a strExpr.
    Pattern syntax is specified here
    Parameter detail is specified here
    
    Parameters:
    
    strExpr - The input string
    
    pattern - The pattern
    
    position - The position
    
    parameters - The parameters
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - regexp_count
```
public static Column regexp_count(Column strExpr,
                                  Column pattern)
```
    Returns the number of times that a pattern occurs in a strExpr.
    Pattern syntax is specified here
    Parameter detail is specified here
    
    Parameters:
    
    strExpr - The input string
    
    pattern - The pattern
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - regexp_replace
```
public static Column regexp_replace(Column strExpr,
                                    Column pattern)
```
    Returns the subject with the specified pattern (or all occurrences of the pattern) removed. If no matches are found, returns the original subject.
    
    Parameters:
    
    strExpr - The input string
    
    pattern - The pattern
    
    Returns:
    
    The result column
    
    Since:
    
    1.9.0
  - regexp_replace
```
public static Column regexp_replace(Column strExpr,
                                    Column pattern,
                                    Column replacement)
```
    Returns the subject with the specified pattern (or all occurrences of the pattern) replaced by a replacement string. If no matches are found, returns the original subject.
    
    Parameters:
    
    strExpr - The input string
    
    pattern - The pattern
    
    replacement - The replacement string
    
    Returns:
    
    The result column
    
    Since:
    
    1.9.0
  - replace
```
public static Column replace(Column strExpr,
                             Column pattern,
                             Column replacement)
```
    Removes all occurrences of a specified strExpr, and optionally replaces them with replacement.
    
    Parameters:
    
    strExpr - The input string
    
    pattern - The pattern
    
    replacement - The replacement string
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - replace
```
public static Column replace(Column strExpr,
                             Column pattern)
```
    Removes all occurrences of a specified strExpr, and optionally replaces them with replacement.
    
    Parameters:
    
    strExpr - The input string
    
    pattern - The pattern
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - charindex
```
public static Column charindex(Column targetExpr,
                               Column sourceExpr)
```
    Searches for targetExpr in sourceExpr and, if successful, returns the position (1-based) of the targetExpr in sourceExpr.
    
    Parameters:
    
    sourceExpr - The source value
    
    targetExpr - The target value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - charindex
```
public static Column charindex(Column targetExpr,
                               Column sourceExpr,
                               Column position)
```
    Searches for targetExpr in sourceExpr and, if successful, returns the position (1-based) of the targetExpr in sourceExpr.
    
    Parameters:
    
    sourceExpr - The source value
    
    targetExpr - The target value
    
    position - The position
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - collate
```
public static Column collate(Column expr,
                             String collationSpec)
```
    Returns a copy of expr, but with the specified collationSpec property instead of the original collation specification property.
    Collation Specification is specified here
    
    Parameters:
    
    expr - The input value
    
    collationSpec - The collation specification
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - collation
```
public static Column collation(Column expr)
```
    Returns the collation specification of expr.
    
    Parameters:
    
    expr - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - array_intersection
```
public static Column array_intersection(Column col1,
                                        Column col2)
```
    Returns an ARRAY that contains the matching elements in the two input ARRAYs.
    
    Parameters:
    
    col1 - The first input array
    
    col2 - The second input array
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - is_array
```
public static Column is_array(Column col)
```
    Returns true if the specified VARIANT column contains an ARRAY value.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - is_boolean
```
public static Column is_boolean(Column col)
```
    Returns true if the specified VARIANT column contains a Boolean value.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - is_binary
```
public static Column is_binary(Column col)
```
    Returns true if the specified VARIANT column contains a binary value.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - is_char
```
public static Column is_char(Column col)
```
    Returns true if the specified VARIANT column contains a string value.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - is_varchar
```
public static Column is_varchar(Column col)
```
    Returns true if the specified VARIANT column contains a string value.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - is_date
```
public static Column is_date(Column col)
```
    Returns true if the specified VARIANT column contains a DATE value.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - is_date_value
```
public static Column is_date_value(Column col)
```
    Returns true if the specified VARIANT column contains a DATE value.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - is_decimal
```
public static Column is_decimal(Column col)
```
    Returns true if the specified VARIANT column contains a fixed-point decimal value or integer.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - is_double
```
public static Column is_double(Column col)
```
    Returns true if the specified VARIANT column contains a floating-point value, fixed-point decimal, or integer.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - is_real
```
public static Column is_real(Column col)
```
    Returns true if the specified VARIANT column contains a floating-point value, fixed-point decimal, or integer.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - is_integer
```
public static Column is_integer(Column col)
```
    Returns true if the specified VARIANT column contains an integer value.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - is_null_value
```
public static Column is_null_value(Column col)
```
    Returns true if the specified VARIANT column is a JSON null value.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - is_object
```
public static Column is_object(Column col)
```
    Returns true if the specified VARIANT column contains an OBJECT value.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - is_time
```
public static Column is_time(Column col)
```
    Returns true if the specified VARIANT column contains a TIME value.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - is_timestamp_ltz
```
public static Column is_timestamp_ltz(Column col)
```
    Returns true if the specified VARIANT column contains a TIMESTAMP value to be interpreted using the local time zone.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - is_timestamp_ntz
```
public static Column is_timestamp_ntz(Column col)
```
    Returns true if the specified VARIANT column contains a TIMESTAMP value with no time zone.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - is_timestamp_tz
```
public static Column is_timestamp_tz(Column col)
```
    Returns true if the specified VARIANT column contains a TIMESTAMP value with a time zone.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.11.0
  - check_json
```
public static Column check_json(Column col)
```
    Checks the validity of a JSON document. If the input string is a valid JSON document or a NULL (i.e. no error would occur when parsing the input string), the function returns NULL. In case of a JSON parsing error, the function returns a string that contains the error message.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - check_xml
```
public static Column check_xml(Column col)
```
    Checks the validity of an XML document. If the input string is a valid XML document or a NULL (i.e. no error would occur when parsing the input string), the function returns NULL. In case of an XML parsing error, the output string contains the error message.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - json_extract_path_text
```
public static Column json_extract_path_text(Column col,
                                            Column path)
```
    Parses a JSON string and returns the value of an element at a specified path in the resulting JSON document.
    
    Parameters:
    
    col - Column containing the JSON string that should be parsed.
    
    path - Column containing the path to the element that should be extracted.
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - parse_json
```
public static Column parse_json(Column col)
```
    Parse the value of the specified column as a JSON string and returns the resulting JSON document.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - parse_xml
```
public static Column parse_xml(Column col)
```
    Parse the value of the specified column as a JSON string and returns the resulting XML document.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - strip_null_value
```
public static Column strip_null_value(Column col)
```
    Converts a JSON "null" value in the specified column to a SQL NULL value. All other VARIANT values in the column are returned unchanged.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - array_agg
```
public static Column array_agg(Column col)
```
    Returns the input values, pivoted into an ARRAY. If the input is empty, an empty ARRAY is returned.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - array_append
```
public static Column array_append(Column array,
                                  Column element)
```
    Returns an ARRAY containing all elements from the source ARRAYas well as the new element. The new element is located at end of the ARRAY.
    
    Parameters:
    
    array - The column containing the source ARRAY.
    
    element - The column containing the element to be appended. The element may be of almost any data type. The data type does not need to match the data type(s) of the existing elements in the ARRAY.
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - array_cat
```
public static Column array_cat(Column array1,
                               Column array2)
```
    Returns the concatenation of two ARRAYs.
    
    Parameters:
    
    array1 - Column containing the source ARRAY.
    
    array2 - Column containing the ARRAY to be appended to array1.
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - array_compact
```
public static Column array_compact(Column array)
```
    Returns a compacted ARRAY with missing and null values removed, effectively converting sparse arrays into dense arrays.
    
    Parameters:
    
    array - The input array
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - array_construct
```
public static Column array_construct(Column... cols)
```
    Returns an ARRAY constructed from zero, one, or more inputs.
    
    Parameters:
    
    cols - Columns containing the values (or expressions that evaluate to values). The values do not all need to be of the same data type.
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - array_construct_compact
```
public static Column array_construct_compact(Column... cols)
```
    Returns an ARRAY constructed from zero, one, or more inputs; the constructed ARRAY omits any NULL input values.
    
    Parameters:
    
    cols - Columns containing the values (or expressions that evaluate to values). The values do not all need to be of the same data type.
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - array_contains
```
public static Column array_contains(Column variant,
                                    Column array)
```
    Returns true if the specified VARIANT is found in the specified ARRAY.
    
    Parameters:
    
    variant - Column containing the VARIANT to find.
    
    array - Column containing the ARRAY to search.
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - array_insert
```
public static Column array_insert(Column array,
                                  Column pos,
                                  Column element)
```
    Returns an ARRAY containing all elements from the source ARRAY as well as the new element.
    
    Parameters:
    
    array - Column containing the source ARRAY.
    
    pos - Column containing a (zero-based) position in the source ARRAY. The new element is inserted at this position. The original element from this position (if any) and all subsequent elements (if any) are shifted by one position to the right in the resulting array (i.e. inserting at position 0 has the same effect as using [[array_prepend]]). A negative position is interpreted as an index from the back of the array (e.g. -1 results in insertion before the last element in the array).
    
    element - Column containing the element to be inserted. The new element is located at position pos. The relative order of the other elements from the source array is preserved.
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - array_position
```
public static Column array_position(Column variant,
                                    Column array)
```
    Returns the index of the first occurrence of an element in an ARRAY.
    
    Parameters:
    
    variant - Column containing the VARIANT value that you want to find. The function searches for the first occurrence of this value in the array.
    
    array - Column containing the ARRAY to be searched.
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - array_prepend
```
public static Column array_prepend(Column array,
                                   Column element)
```
    Returns an ARRAY containing the new element as well as all elements from the source ARRAY. The new element is positioned at the beginning of the ARRAY.
    
    Parameters:
    
    array - Column containing the source ARRAY.
    
    element - Column containing the element to be prepended.
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - array_size
```
public static Column array_size(Column array)
```
    Returns the size of the input ARRAY.
    If the specified column contains a VARIANT value that contains an ARRAY, the size of the ARRAY is returned; otherwise, NULL is returned if the value is not an ARRAY.
    
    Parameters:
    
    array - The input array
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - array_slice
```
public static Column array_slice(Column array,
                                 Column from,
                                 Column to)
```
    Returns an ARRAY constructed from a specified subset of elements of the input ARRAY.
    
    Parameters:
    
    array - Column containing the source ARRAY.
    
    from - Column containing a position in the source ARRAY. The position of the first element is 0. Elements from positions less than this parameter are not included in the resulting ARRAY.
    
    to - Column containing a position in the source ARRAY. Elements from positions equal to or greater than this parameter are not included in the resulting array.
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - array_to_string
```
public static Column array_to_string(Column array,
                                     Column separator)
```
    Returns an input ARRAY converted to a string by casting all values to strings (using TO_VARCHAR) and concatenating them (using the string from the second argument to separate the elements).
    
    Parameters:
    
    array - Column containing the ARRAY of elements to convert to a string.
    
    separator - Column containing the string to put between each element (e.g. a space, comma, or other human-readable separator).
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - objectagg
```
public static Column objectagg(Column key,
                               Column value)
```
    Returns one OBJECT per group. For each (key, value) input pair, where key must be a VARCHAR and value must be a VARIANT, the resulting OBJECT contains a key:value field.
    
    Parameters:
    
    key - The key
    
    value - The value
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - object_construct
```
public static Column object_construct(Column... key_values)
```
    Returns an OBJECT constructed from the arguments.
    
    Parameters:
    
    key_values - The key and value
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - object_delete
```
public static Column object_delete(Column obj,
                                   Column key1,
                                   Column... keys)
```
    Returns an object containing the contents of the input (i.e.source) object with one or more keys removed.
    
    Parameters:
    
    obj - The input object
    
    key1 - The key being removed
    
    keys - A list of keys being removed except key1
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - object_insert
```
public static Column object_insert(Column obj,
                                   Column key,
                                   Column value)
```
    Returns an object consisting of the input object with a new key-value pair inserted. The input key must not exist in the object.
    
    Parameters:
    
    obj - The input object
    
    key - The key
    
    value - The value
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - object_insert
```
public static Column object_insert(Column obj,
                                   Column key,
                                   Column value,
                                   Column update_flag)
```
    Returns an object consisting of the input object with a new key-value pair inserted (or an existing key updated with a new value).
    
    Parameters:
    
    obj - The input object
    
    key - The key
    
    value - The value
    
    update_flag - The flags
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - object_pick
```
public static Column object_pick(Column obj,
                                 Column key1,
                                 Column... keys)
```
    Returns a new OBJECT containing some of the key-value pairs from an existing object.
    To identify the key-value pairs to include in the new object, pass in the keys as arguments, or pass in an array containing the keys.
    If a specified key is not present in the input object, the key is ignored.
    
    Parameters:
    
    obj - The input object
    
    key1 - The key
    
    keys - A list of keys except key1
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - as_array
```
public static Column as_array(Column variant)
```
    Casts a VARIANT value to an array.
    
    Parameters:
    
    variant - The input variant
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - as_binary
```
public static Column as_binary(Column variant)
```
    Casts a VARIANT value to a binary string.
    
    Parameters:
    
    variant - The input variant
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - as_char
```
public static Column as_char(Column variant)
```
    Casts a VARIANT value to a string. Does not convert values of other types into string.
    
    Parameters:
    
    variant - The input variant
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - as_varchar
```
public static Column as_varchar(Column variant)
```
    Casts a VARIANT value to a string. Does not convert values of other types into string.
    
    Parameters:
    
    variant - The input variant
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - as_date
```
public static Column as_date(Column variant)
```
    Casts a VARIANT value to a date. Does not convert from timestamps.
    
    Parameters:
    
    variant - The input variant
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - as_decimal
```
public static Column as_decimal(Column variant)
```
    Casts a VARIANT value to a fixed-point decimal (does not match floating-point values).
    
    Parameters:
    
    variant - The input variant
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - as_decimal
```
public static Column as_decimal(Column variant,
                                int precision)
```
    Casts a VARIANT value to a fixed-point decimal (does not match floating-point values), with precision.
    
    Parameters:
    
    variant - The input variant
    
    precision - The precision
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - as_decimal
```
public static Column as_decimal(Column variant,
                                int precision,
                                int scale)
```
    Casts a VARIANT value to a fixed-point decimal (does not match floating-point values), with precision and scale.
    
    Parameters:
    
    variant - The input variant
    
    precision - The precision
    
    scale - The scale
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - as_number
```
public static Column as_number(Column variant)
```
    Casts a VARIANT value to a fixed-point decimal (does not match floating-point values).
    
    Parameters:
    
    variant - The input variant
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - as_number
```
public static Column as_number(Column variant,
                               int precision)
```
    Casts a VARIANT value to a fixed-point decimal (does not match floating-point values), with precision and scale.
    
    Parameters:
    
    variant - The input variant
    
    precision - The precision
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - as_number
```
public static Column as_number(Column variant,
                               int precision,
                               int scale)
```
    Casts a VARIANT value to a fixed-point decimal (does not match floating-point values), with precision.
    
    Parameters:
    
    variant - The input variant
    
    precision - The precision
    
    scale - The scale
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - as_double
```
public static Column as_double(Column variant)
```
    Casts a VARIANT value to a floating-point value.
    
    Parameters:
    
    variant - The input variant
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - as_real
```
public static Column as_real(Column variant)
```
    Casts a VARIANT value to a floating-point value.
    
    Parameters:
    
    variant - The input variant
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - as_integer
```
public static Column as_integer(Column variant)
```
    Casts a VARIANT value to an integer. Does not match non-integer values.
    
    Parameters:
    
    variant - The input variant
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - as_object
```
public static Column as_object(Column variant)
```
    Casts a VARIANT value to an object.
    
    Parameters:
    
    variant - The input variant
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - as_time
```
public static Column as_time(Column variant)
```
    Casts a VARIANT value to a time value. Does not convert from timestamps.
    
    Parameters:
    
    variant - The input variant
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - as_timestamp_ltz
```
public static Column as_timestamp_ltz(Column variant)
```
    Casts a VARIANT value to a TIMESTAMP value with local timezone.
    
    Parameters:
    
    variant - The input variant
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - as_timestamp_ntz
```
public static Column as_timestamp_ntz(Column variant)
```
    Casts a VARIANT value to a TIMESTAMP value with no timezone.
    
    Parameters:
    
    variant - The input variant
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - as_timestamp_tz
```
public static Column as_timestamp_tz(Column variant)
```
    Casts a VARIANT value to a TIMESTAMP value with timezone.
    
    Parameters:
    
    variant - The input variant
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - strtok_to_array
```
public static Column strtok_to_array(Column array)
```
    Tokenizes the given string using the given set of delimiters and returns the tokens as an array. If either parameter is a NULL, a NULL is returned. An empty array is returned if tokenization produces no tokens.
    
    Parameters:
    
    array - The input array
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - strtok_to_array
```
public static Column strtok_to_array(Column array,
                                     Column delimiter)
```
    Tokenizes the given string using the given set of delimiters and returns the tokens as an array. If either parameter is a NULL, a NULL is returned. An empty array is returned if tokenization produces no tokens.
    
    Parameters:
    
    array - The input array
    
    delimiter - The delimiter
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - to_array
```
public static Column to_array(Column col)
```
    Converts the input expression into an array:
    If the input is an ARRAY, or VARIANT containing an array value, the result is unchanged. For NULL or a JSON null input, returns NULL. For any other value, the result is a single-element array containing this value.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - to_json
```
public static Column to_json(Column col)
```
    Converts any VARIANT value to a string containing the JSON representation of the value. If the input is NULL, the result is also NULL.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - to_object
```
public static Column to_object(Column col)
```
    Converts the input value to an object:
    For a variant value containing an object, returns this object (in a value of type OBJECT). For a variant value containing JSON null or for NULL input, returns NULL. For all other input values, reports an error.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - to_variant
```
public static Column to_variant(Column col)
```
    Converts any value to VARIANT value or NULL (if input is NULL).
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - to_xml
```
public static Column to_xml(Column col)
```
    Converts any VARIANT value to a string containing the XML representation of the value. If the input is NULL, the result is also NULL.
    
    Parameters:
    
    col - The input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - get
```
public static Column get(Column col1,
                         Column col2)
```
    Extracts a value from an object or array; returns NULL if either of the arguments is NULL.
    
    Parameters:
    
    col1 - The first input value
    
    col2 - The second input value
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - get_ignore_case
```
public static Column get_ignore_case(Column obj,
                                     Column field)
```
    Extracts a field value from an object; returns NULL if either of the arguments is NULL. This function is similar to GET but applies case-insensitive matching to field names.
    
    Parameters:
    
    obj - The input object
    
    field - The field
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - object_keys
```
public static Column object_keys(Column obj)
```
    Returns an array containing the list of keys in the input object.
    
    Parameters:
    
    obj - The input object
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - xmlget
```
public static Column xmlget(Column xml,
                            Column tag,
                            Column instance)
```
    Extracts an XML element object (often referred to as simply a tag) from a content of outer XML element object by the name of the tag and its instance number (counting from 0).
    
    Parameters:
    
    xml - The input xml
    
    tag - The tag
    
    instance - The instance
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - xmlget
```
public static Column xmlget(Column xml,
                            Column tag)
```
    Extracts the first XML element object (often referred to as simply a tag) from a content of outer XML element object by the name of the tag
    
    Parameters:
    
    xml - The input xml
    
    tag - The tag
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - get_path
```
public static Column get_path(Column col,
                              Column path)
```
    Extracts a value from semi-structured data using a path name.
    
    Parameters:
    
    col - The input value
    
    path - The path
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - when
```
public static CaseExpr when(Column condition,
                            Column value)
```
    Works like a cascading if-then-else statement. A series of conditions are evaluated in sequence. When a condition evaluates to TRUE, the evaluation stops and the associated result (after THEN) is returned. If none of the conditions evaluate to TRUE, then the result after the optional OTHERWISE is returned, if present; otherwise NULL is returned. For Example:
    import com.snowflake.snowpark_java.Functions; df.select(Functions .when(df.col("col").is_null, Functions.lit(1)) .when(df.col("col").equal_to(Functions.lit(1)), Functions.lit(6)) .otherwise(Functions.lit(7)));
    Parameters:
    
    condition - The condition
    
    value - The result value
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - iff
```
public static Column iff(Column condition,
                         Column expr1,
                         Column expr2)
```
    Returns one of two specified expressions, depending on a condition.
    This is equivalent to an `if-then-else` expression. If `condition` evaluates to TRUE, the function returns `expr1`. Otherwise, the function returns `expr2`.
    
    Parameters:
    
    condition - The condition to evaluate.
    
    expr1 - The expression to return if the condition evaluates to TRUE.
    
    expr2 - The expression to return if the condition is not TRUE (i.e. if it is FALSE or NULL).
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - in
```
public static Column in(Column[] columns,
                        List<List<Object>> values)
```
    Returns a conditional expression that you can pass to the filter or where method to perform the equivalent of a WHERE ... IN query that matches rows containing a sequence of values.
    The expression evaluates to true if the values in a row matches the values in one of the specified sequences.
    For example, the following code returns a DataFrame that contains the rows in which the columns `c1` and `c2` contain the values: - `1` and `"a"`, or - `2` and `"b"` This is equivalent to `SELECT * FROM table WHERE (c1, c2) IN ((1, 'a'), (2, 'b'))`.
    import com.snowflake.snowpark_java.Functions; df.filter(Functions.in(new Column[]{df.col("c1"), df.col("c2")}, Arrays.asList(Array.asList(1, "a"), Array.asList(2, "b"))));
    Parameters:
    
    columns - A sequence of the columns to compare for the IN operation.
    
    values - A sequence containing the sequences of values to compare for the IN operation.
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - in
```
public static Column in(Column[] columns,
                        DataFrame df)
```
    Returns a conditional expression that you can pass to the filter or where method to perform the equivalent of a WHERE ... IN query with the subquery represented by the specified DataFrame.
    The expression evaluates to true if the value in the column is one of the values in the column of the same name in a specified DataFrame.
    For example, the following code returns a DataFrame that contains the rows where the values of the columns `c1` and `c2` in `df2` match the values of the columns `a` and `b` in `df1`. This is equivalent to SELECT * FROM table2 WHERE (c1, c2) IN (SELECT a, b FROM table1).
    import com.snowflake.snowpark_java.Functions; import com.snowflake.snowpark_java.DataFrame; DataFrame df1 = session.sql("select a, b from table1"); DataFrame df2 = session.table("table2"); df2.filter(Functions.in(new Column[]{df2.col("c1"), df2.col("c2")}, df1));
    Parameters:
    
    columns - A sequence of the columns to compare for the IN operation.
    
    df - The DataFrame used as the values for the IN operation
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - seq1
```
public static Column seq1()
```
    Generates a sequence of monotonically increasing integers, with wrap-around. Wrap-around occurs after the largest representable integer of the integer width 1 byte. the sequence continues at 0 after wrap-around.
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - seq1
```
public static Column seq1(boolean startsFromZero)
```
    Generates a sequence of monotonically increasing integers, with wrap-around. Wrap-around occurs after the largest representable integer of the integer width 1 byte.
    
    Parameters:
    
    startsFromZero - if true, the sequence continues at 0 after wrap-around, otherwise, continues at the smallest representable number based on the given integer width.
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - seq2
```
public static Column seq2()
```
    Generates a sequence of monotonically increasing integers, with wrap-around. Wrap-around occurs after the largest representable integer of the integer width 2 byte. the sequence continues at 0 after wrap-around.
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - seq2
```
public static Column seq2(boolean startsFromZero)
```
    Generates a sequence of monotonically increasing integers, with wrap-around. Wrap-around occurs after the largest representable integer of the integer width 2 byte.
    
    Parameters:
    
    startsFromZero - if true, the sequence continues at 0 after wrap-around, otherwise, continues at the smallest representable number based on the given integer width.
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - seq4
```
public static Column seq4()
```
    Generates a sequence of monotonically increasing integers, with wrap-around. Wrap-around occurs after the largest representable integer of the integer width 4 byte. the sequence continues at 0 after wrap-around.
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - seq4
```
public static Column seq4(boolean startsFromZero)
```
    Generates a sequence of monotonically increasing integers, with wrap-around. Wrap-around occurs after the largest representable integer of the integer width 4 byte.
    
    Parameters:
    
    startsFromZero - if true, the sequence continues at 0 after wrap-around, otherwise, continues at the smallest representable number based on the given integer width.
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - seq8
```
public static Column seq8()
```
    Generates a sequence of monotonically increasing integers, with wrap-around. Wrap-around occurs after the largest representable integer of the integer width 8 byte. the sequence continues at 0 after wrap-around.
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - seq8
```
public static Column seq8(boolean startsFromZero)
```
    Generates a sequence of monotonically increasing integers, with wrap-around. Wrap-around occurs after the largest representable integer of the integer width 8 byte.
    
    Parameters:
    
    startsFromZero - if true, the sequence continues at 0 after wrap-around, otherwise, continues at the smallest representable number based on the given integer width.
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - uniform
```
public static Column uniform(Column min,
                             Column max,
                             Column gen)
```
    Returns a uniformly random number, in the inclusive range (`min`, `max`)
    For example: {{{ import com.snowflake.snowpark_java.Functions; session.generator(10, Functions.seq4(), Functions.uniform(Functions.lit(1), Functions.lit(5), Functions.random())).show() }}}
    
    Parameters:
    
    min - The lower bound
    
    max - The upper bound
    
    gen - The generator expression for the function. for more information, see here
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - listagg
```
public static Column listagg(Column col,
                             String delimiter,
                             boolean isDistinct)
```
    Returns the concatenated input values, separated by `delimiter` string.
    For example:
    df.groupBy(df.col("col1")).agg(Functions.listagg(df.col("col2"), ",") .withinGroup(df.col("col2").asc())) df.select(Functions.listagg(df.col("col2"), ",", false))
    Parameters:
    
    col - The expression (typically a Column) that determines the values to be put into the list. The expression should evaluate to a string, or to a data type that can be cast to string.
    
    delimiter - A string delimiter.
    
    isDistinct - Whether the input expression is distinct.
    
    Returns:
    
    The result Column
    
    Since:
    
    1.1.0
  - listagg
```
public static Column listagg(Column col,
                             String delimiter)
```
    Returns the concatenated input values, separated by `delimiter` string.
    For example:
    df.groupBy(df.col("col1")).agg(Functions.listagg(df.col("col2"), ",") .withinGroup(df.col("col2").asc())) df.select(Functions.listagg(df.col("col2"), ",", false))
    Parameters:
    
    col - The expression (typically a Column) that determines the values to be put into the list. The expression should evaluate to a string, or to a data type that can be cast to string.
    
    delimiter - A string delimiter.
    
    Returns:
    
    The result Column
    
    Since:
    
    1.1.0
  - listagg
```
public static Column listagg(Column col)
```
    Returns the concatenated input values, separated by empty string.
    For example:
    df.groupBy(df.col("col1")).agg(Functions.listagg(df.col("col2"), ",") .withinGroup(df.col("col2").asc())) df.select(Functions.listagg(df.col("col2"), ",", false))
    Parameters:
    
    col - The expression (typically a Column) that determines the values to be put into the list. The expression should evaluate to a string, or to a data type that can be cast to string.
    
    Returns:
    
    The result Column
    
    Since:
    
    1.1.0
  - reverse
```
public static Column reverse(Column name)
```
    Wrapper for Snowflake built-in reverse function. Gets the reversed string. Reverses the order of characters in a string, or of bytes in a binary value. The returned value is the same length as the input, but with the characters/bytes in reverse order. If subject is NULL, the result is also NULL.
    Example:
    SELECT REVERSE('Hello, world!'); +--------------------------+ | REVERSE('HELLO, WORLD!') | |--------------------------| | !dlrow ,olleH | +--------------------------+
    Parameters:
    
    name - Column to be reverse.
    
    Returns:
    
    Column object.
    
    Since:
    
    1.14.0
  - isnull
```
public static Column isnull(Column c)
```
    Wrapper for Snowflake built-in isnull function. Gets a boolean depending if value is NULL or not. Return true if the value in the column is null.
    Example::
    >>> from snowflake.snowpark.functions import is_null >>> df = session.create_dataframe([1.2, float("nan"), None, 1.0], schema=["a"]) >>> df.select(is_null("a").as_("a")).collect() [Row(A=False), Row(A=False), Row(A=True), Row(A=False)]
    Parameters:
    
    c - Column to analyze if it is null value.
    
    Returns:
    
    Column object.
    
    Since:
    
    1.14.0
  - unix_timestamp
```
public static Column unix_timestamp(Column c)
```
    Returns the current Unix timestamp (in seconds) as a long. Extracts a specified date or time portion from a date, time, or timestamp. All calls of `unix_timestamp` within the same query return the same value
    Example - DATE_PART( date_or_time_part ,date_or_time_expr )
    SELECT TO_TIMESTAMP('2013-05-08T23:39:20.123-07:00') AS "TIME_STAMP1", DATE_PART(EPOCH_SECOND, "TIME_STAMP1") AS "EXTRACTED EPOCH SECOND"; +-------------------------+------------------------+ | TIME_STAMP1 | EXTRACTED EPOCH SECOND | |-------------------------+------------------------| | 2013-05-08 23:39:20.123 | 1368056360 | +-------------------------+------------------------+
    Parameters:
    
    c - Column to be converted.
    
    Returns:
    
    Column object.
    
    Since:
    
    1.14.0
  - regexp_extract
```
public static Column regexp_extract(Column col,
                                    String exp,
                                    Integer position,
                                    Integer Occurences,
                                    Integer grpIdx)
```
    Signature - snowflake.snowpark.functions.regexp_extract (value: Union[Column, str], regexp: Union[Column, str], idx: int) Column Extract a specific group matched by a regex, from the specified string column. If the regex did not match, or the specified group did not match, an empty string is returned. Example:
    from snowflake.snowpark.functions import regexp_extract df = session.createDataFrame([["id_20_30", 10], ["id_40_50", 30]], ["id", "age"]) df.select(regexp_extract("id", r"(\d+)", 1).alias("RES")).show() --------- |"RES" | --------- |20 | |40 | ---------
    Parameters:
    
    col - Column.
    
    exp - String
    
    position - Integer.
    
    Occurences - Integer.
    
    grpIdx - Integer.
    
    Returns:
    
    Column object.
    
    Since:
    
    1.14.0
  - signum
```
public static Column signum(Column col)
```
    Returns the sign of its argument:
    - -1 if the argument is negative. - 1 if it is positive. - 0 if it is 0.
    Args: col: The column to evaluate its sign Example:: *
    df = session.create_dataframe([(-2, 2, 0)], ["a", "b", "c"]) >>> df.select(sign("a").alias("a_sign"), sign("b").alias("b_sign"), sign("c").alias("c_sign")).show() ---------------------------------- |"A_SIGN" |"B_SIGN" |"C_SIGN" | ---------------------------------- |-1 |1 |0 | ----------------------------------
    Parameters:
    
    col - Column to calculate the sign.
    
    Returns:
    
    Column object.
    
    Since:
    
    1.14.0
  - sign
```
public static Column sign(Column col)
```
    Returns the sign of its argument:
    - -1 if the argument is negative. - 1 if it is positive. - 0 if it is 0.
    Args: col: The column to evaluate its sign Example::
    df = session.create_dataframe([(-2, 2, 0)], ["a", "b", "c"]) >>> df.select(sign("a").alias("a_sign"), sign("b").alias("b_sign"), sign("c").alias("c_sign")).show() ---------------------------------- |"A_SIGN" |"B_SIGN" |"C_SIGN" | ---------------------------------- |-1 |1 |0 | ----------------------------------
    Parameters:
    
    col - Column to calculate the sign.
    
    Returns:
    
    Column object.
    
    Since:
    
    1.14.0
  - substring_index
```
public static Column substring_index(String col,
                                     String delim,
                                     Integer count)
```
    Returns the substring from string str before count occurrences of the delimiter delim. If count is positive, everything the left of the final delimiter (counting from left) is returned. If count is negative, every to the right of the final delimiter (counting from the right) is returned. substring_index performs a case-sensitive match when searching for delim.
    
    Parameters:
    
    col - String.
    
    delim - String
    
    count - Integer.
    
    Returns:
    
    Column object.
    
    Since:
    
    1.14.0
  - collect_list
```
public static Column collect_list(Column c)
```
    Returns the input values, pivoted into an ARRAY. If the input is empty, an empty ARRAY is returned.
    Example::
    df = session.create_dataframe([[1], [2], [3], [1]], schema=["a"]) df.select(array_agg("a", True).alias("result")).show() "RESULT" [ 1, 2, 3 ]
    Parameters:
    
    c - Column to be collect.
    
    Returns:
    
    The array.
    
    Since:
    
    1.14.0
  - desc
```
public static Column desc(String name)
```
  - asc
```
public static Column asc(String name)
```
    Returns a Column expression with values sorted in ascending order.
    Example: order column values in ascending
    DataFrame df = getSession().sql("select * from values(3),(1),(2) as t(a)"); df.sort(Functions.asc("a")).show(); ------- |"A" | ------- |1 | |2 | |3 | -------
    Parameters:
    
    name - The input column name
    
    Returns:
    
    Column object ordered in ascending manner.
    
    Since:
    
    1.14.0
  - size
```
public static Column size(Column col)
```
    Returns the size of the input ARRAY.
    If the specified column contains a VARIANT value that contains an ARRAY, the size of the ARRAY is returned; otherwise, NULL is returned if the value is not an ARRAY.
    Example: calculate size of the array in a column
    DataFrame df = getSession().sql("select array_construct(a,b,c) as arr from values(1,2,3) as T(a,b,c)"); df.select(Functions.size(Functions.col("arr"))).show(); ------------------------- |"ARRAY_SIZE(""ARR"")" | ------------------------- |3 | -------------------------
    Parameters:
    
    col - The input column name
    
    Returns:
    
    size of the input ARRAY.
    
    Since:
    
    1.14.0
  - expr
```
public static Column expr(String s)
```
    Creates a Column expression from row SQL text.
    Note that the function does not interpret or check the SQL text.
    DataFrame df = getSession().sql("select a from values(1), (2), (3) as T(a)"); df.filter(Functions.expr("a > 2")).show(); ------- |"A" | ------- |3 | -------
    Parameters:
    
    s - The SQL text
    
    Returns:
    
    column expression from input statement.
    
    Since:
    
    1.14.0
  - array
```
public static Column array(Column... cols)
```
    Returns an ARRAY constructed from zero, one, or more inputs.
    DataFrame df = getSession().sql("select * from values(1,2,3) as T(a,b,c)"); df.select(Functions.array(df.col("a"), df.col("b"), df.col("c")).as("array")).show(); ----------- |"ARRAY" | ----------- |[ | | 1, | | 2, | | 3 | |] | -----------
    Parameters:
    
    cols - The input column names
    
    Returns:
    
    Column object as array.
    
    Since:
    
    1.14.0
  - date_format
```
public static Column date_format(Column col,
                                 String s)
```
    Converts an input expression into the corresponding date in the specified date format.
    DataFrame df = getSession().sql("select * from values ('2023-10-10'), ('2022-05-15') as T(a)"); df.select(Functions.date_format(df.col("a"), "YYYY/MM/DD").as("formatted_date")).show(); -------------------- |"FORMATTED_DATE" | -------------------- |2023/10/10 | |2022/05/15 | --------------------
    Parameters:
    
    col - The input date column name
    
    s - string format
    
    Returns:
    
    formatted column object.
    
    Since:
    
    1.14.0
  - last
```
public static Column last(Column col)
```
    Returns the last value of the column in a group.
    DataFrame df = getSession().sql("select * from values (5, 'a', 10), (5, 'b', 20),\n" + " (3, 'd', 15), (3, 'e', 40) as T(grade,name,score)"); df.select(Functions.last(df.col("name")).over(Window.partitionBy(df.col("grade")).orderBy(df.col("score").desc()))).show(); ---------------- |"LAST_VALUE" | ---------------- |a | |a | |d | |d | ----------------
    Parameters:
    
    col - The input column to get last value
    
    Returns:
    
    column object from last function.
    
    Since:
    
    1.14.0
  - log10
```
public static Column log10(Column col)
```
    Computes the logarithm of the given value in base 10.
    DataFrame df = getSession().sql("select * from values (100) as T(a)"); df.select(Functions.log10(df.col("a")).as("log10")).show(); ----------- |"LOG10" | ----------- |2.0 | -----------
    Parameters:
    
    col - The input column to get logarithm value
    
    Returns:
    
    column object from logarithm function.
    
    Since:
    
    1.14.0
  - log10
```
public static Column log10(String s)
```
    Computes the logarithm of the given value in base 10.
    DataFrame df = getSession().sql("select * from values (100) as T(a)"); df.select(Functions.log10("a").as("log10")).show(); ----------- |"LOG10" | ----------- |2.0 | -----------
    Parameters:
    
    s - The input columnName in string to get logarithm value
    
    Returns:
    
    column object from logarithm function.
    
    Since:
    
    1.14.0
  - log1p
```
public static Column log1p(Column col)
```
    Computes the logarithm of the given value in base 10.
    DataFrame df = getSession().sql("select * from values (0.1) as T(a)"); df.select(Functions.log1p(df.col("a")).as("log1p")).show(); ----------------------- |"LOG1P" | ----------------------- |0.09531017980432493 | -----------------------
    Parameters:
    
    col - The input column to get logarithm value
    
    Returns:
    
    column object from logarithm function.
    
    Since:
    
    1.14.0
  - log1p
```
public static Column log1p(String s)
```
    Computes the logarithm of the given value in base 10.
    DataFrame df = getSession().sql("select * from values (0.1) as T(a)"); df.select(Functions.log1p("a").as("log1p")).show(); ----------------------- |"LOG1P" | ----------------------- |0.09531017980432493 | -----------------------
    Parameters:
    
    s - The input columnName in string to get logarithm value
    
    Returns:
    
    column object from logarithm function.
    
    Since:
    
    1.14.0
  - base64
```
public static Column base64(Column c)
```
    Computes the BASE64 encoding of a column and returns it as a string column. This is the reverse of unbase64.
    DataFrame df = getSession().sql("select * from values ('test') as T(a)"); df.select(Functions.base64(Functions.col("a")).as("base64")).show(); ------------ |"BASE64" | ------------ |dGVzdA== | ------------
    Parameters:
    
    c - ColumnName to apply base64 operation
    
    Returns:
    
    base64 encoded value of the given input column.
    
    Since:
    
    1.14.0
  - unbase64
```
public static Column unbase64(Column c)
```
    Decodes a BASE64 encoded string column and returns it as a column.
    DataFrame df = getSession().sql("select * from values ('dGVzdA==') as T(a)"); df.select(Functions.unbase64(Functions.col("a")).as("unbase64")).show(); -------------- |"UNBASE64" | -------------- |test | --------------
    Parameters:
    
    c - ColumnName to apply unbase64 operation
    
    Returns:
    
    the decoded value of the given encoded value.
    
    Since:
    
    1.14.0
  - locate
```
public static Column locate(Column substr,
                            Column str,
                            int pos)
```
    Locate the position of the first occurrence of substr in a string column, after position pos.
    DataFrame df = getSession().sql("select * from values ('scala', 'java scala python'), \n " + "('b', 'abcd') as T(a,b)"); df.select(Functions.locate(Functions.col("a"), Functions.col("b"), 1).as("locate")).show(); ------------ |"LOCATE" | ------------ |6 | |2 | ------------
    Parameters:
    
    substr - string to search
    
    str - value where string will be searched
    
    pos - index for starting the search
    
    Returns:
    
    returns the position of the first occurrence.
    
    Since:
    
    1.14.0
  - locate
```
public static Column locate(String substr,
                            Column str)
```
    Locate the position of the first occurrence of substr in a string column, after position pos. default to 1.
    DataFrame df = getSession().sql("select * from values ('abcd') as T(s)"); df.select(Functions.locate("b", Functions.col("s")).as("locate")).show(); ------------ |"LOCATE" | ------------ |2 | ------------
    Parameters:
    
    substr - string to search
    
    str - value where string will be searched
    
    Returns:
    
    returns the position of the first occurrence.
    
    Since:
    
    1.14.0
  - ntile
```
public static Column ntile(int n)
```
    Window function: returns the ntile group id (from 1 to `n` inclusive) in an ordered window partition. For example, if `n` is 4, the first quarter of the rows will get value 1, the second quarter will get 2, the third quarter will get 3, and the last quarter will get 4.
    This is equivalent to the NTILE function in SQL.
    DataFrame df = getSession().sql("select * from values(1,2),(1,2),(2,1),(2,2),(2,2) as T(x,y)"); df.select(Functions.ntile(4).over(Window.partitionBy(df.col("x")).orderBy(df.col("y"))).as("ntile")).show(); ----------- |"NTILE" | ----------- |1 | |2 | |3 | |1 | |2 | -----------
    Parameters:
    
    n - number of groups
    
    Returns:
    
    returns the ntile group id (from 1 to n inclusive) in an ordered window partition.
    
    Since:
    
    1.14.0
  - randn
```
public static Column randn()
```
    Generate a column with independent and identically distributed (i.i.d.) samples from the standard normal distribution. Return a call to the Snowflake RANDOM function. NOTE: Snowflake returns integers of 17-19 digits.
    DataFrame df = getSession().sql("select * from values(1),(2),(3) as T(a)"); df.withColumn("randn",Functions.randn()).select("randn").show(); ------------------------ |"RANDN" | ------------------------ |6799378361097866000 | |-7280487148628086605 | |775606662514393461 | ------------------------
    Returns:
    
    Random number.
    
    Since:
    
    1.14.0
  - randn
```
public static Column randn(long seed)
```
    Generate a column with independent and identically distributed (i.i.d.) samples from the standard normal distribution. Return a call to the Snowflake RANDOM function. NOTE: Snowflake returns integers of 17-19 digits.
    DataFrame df = getSession().sql("select * from values(1),(2),(3) as T(a)"); df.withColumn("randn_with_seed",Functions.randn(123l)).select("randn_with_seed").show(); ------------------------ |"RANDN_WITH_SEED" | ------------------------ |5777523539921853504 | |-8190739547906189845 | |-1138438814981368515 | ------------------------
    Returns:
    
    Random number.
    
    Since:
    
    1.14.0
  - shiftleft
```
public static Column shiftleft(Column c,
                               int numBits)
```
    Shift the given value numBits left. If the given value is a long value, this function will return a long value else it will return an integer value.
    DataFrame df = getSession().sql("select * from values(1),(2),(3) as T(a)"); df.select(Functions.shiftleft(Functions.col("a"), 1).as("shiftleft")).show(); --------------- |"SHIFTLEFT" | --------------- |2 | |4 | |6 | ---------------
    Returns:
    
    Column object.
    
    Since:
    
    1.14.0
  - shiftright
```
public static Column shiftright(Column c,
                                int numBits)
```
    Shift the given value numBits right. If the given value is a long value, it will return a long value else it will return an integer value.
    DataFrame df = getSession().sql("select * from values(1),(2),(3) as T(a)"); df.select(Functions.shiftright(Functions.col("a"), 1).as("shiftright")).show(); --------------- |"SHIFTRIGHT" | --------------- |0 | |1 | |1 | ---------------
    Returns:
    
    Column object.
    
    Since:
    
    1.14.0
  - hex
```
public static Column hex(Column c)
```
    Computes hex value of the given column.
    DataFrame df = getSession().sql("select * from values(1),(2),(3) as T(a)"); df.select(Functions.hex(Functions.col("a")).as("hex")).show(); --------- |"HEX" | --------- |31 | |32 | |33 | ---------
    Returns:
    
    Column object.
    
    Since:
    
    1.14.0
  - unhex
```
public static Column unhex(Column c)
```
    Inverse of hex. Interprets each pair of characters as a hexadecimal number and converts to the byte representation of number.
    DataFrame df = getSession().sql("select * from values(31),(32),(33) as T(a)"); df.select(Functions.unhex(Functions.col("a")).as("unhex")).show(); ----------- |"UNHEX" | ----------- |1 | |2 | |3 | -----------
    Returns:
    
    Column object.
    
    Since:
    
    1.14.0
  - callUDF
```
public static Column callUDF(String udfName,
                             Column... cols)
```
    Calls a user-defined function (UDF) by name.
    
    Parameters:
    
    udfName - The name of UDF
    
    cols - The list of parameters
    
    Returns:
    
    The result column
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF0<?> func,
                                      DataType output)
```
    Registers a Java Lambda of 0 argument as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF1<?,?> func,
                                      DataType input,
                                      DataType output)
```
    Registers a Java Lambda of 1 argument as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataType
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF2<?,?,?> func,
                                      DataType[] input,
                                      DataType output)
```
    Registers a Java Lambda of 2 arguments as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataTypes
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF3<?,?,?,?> func,
                                      DataType[] input,
                                      DataType output)
```
    Registers a Java Lambda of 3 arguments as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataTypes
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF4<?,?,?,?,?> func,
                                      DataType[] input,
                                      DataType output)
```
    Registers a Java Lambda of 4 arguments as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataTypes
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF5<?,?,?,?,?,?> func,
                                      DataType[] input,
                                      DataType output)
```
    Registers a Java Lambda of 5 arguments as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataTypes
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF6<?,?,?,?,?,?,?> func,
                                      DataType[] input,
                                      DataType output)
```
    Registers a Java Lambda of 6 arguments as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataTypes
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF7<?,?,?,?,?,?,?,?> func,
                                      DataType[] input,
                                      DataType output)
```
    Registers a Java Lambda of 7 arguments as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataTypes
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF8<?,?,?,?,?,?,?,?,?> func,
                                      DataType[] input,
                                      DataType output)
```
    Registers a Java Lambda of 8 arguments as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataTypes
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF9<?,?,?,?,?,?,?,?,?,?> func,
                                      DataType[] input,
                                      DataType output)
```
    Registers a Java Lambda of 9 arguments as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataTypes
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF10<?,?,?,?,?,?,?,?,?,?,?> func,
                                      DataType[] input,
                                      DataType output)
```
    Registers a Java Lambda of 10 arguments as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataTypes
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF11<?,?,?,?,?,?,?,?,?,?,?,?> func,
                                      DataType[] input,
                                      DataType output)
```
    Registers a Java Lambda of 11 arguments as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataTypes
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF12<?,?,?,?,?,?,?,?,?,?,?,?,?> func,
                                      DataType[] input,
                                      DataType output)
```
    Registers a Java Lambda of 12 arguments as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataTypes
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF13<?,?,?,?,?,?,?,?,?,?,?,?,?,?> func,
                                      DataType[] input,
                                      DataType output)
```
    Registers a Java Lambda of 13 arguments as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataTypes
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF14<?,?,?,?,?,?,?,?,?,?,?,?,?,?,?> func,
                                      DataType[] input,
                                      DataType output)
```
    Registers a Java Lambda of 14 arguments as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataTypes
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF15<?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?> func,
                                      DataType[] input,
                                      DataType output)
```
    Registers a Java Lambda of 15 arguments as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataTypes
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF16<?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?> func,
                                      DataType[] input,
                                      DataType output)
```
    Registers a Java Lambda of 16 arguments as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataTypes
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF17<?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?> func,
                                      DataType[] input,
                                      DataType output)
```
    Registers a Java Lambda of 17 arguments as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataTypes
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF18<?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?> func,
                                      DataType[] input,
                                      DataType output)
```
    Registers a Java Lambda of 18 arguments as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataTypes
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF19<?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?> func,
                                      DataType[] input,
                                      DataType output)
```
    Registers a Java Lambda of 19 arguments as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataTypes
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF20<?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?> func,
                                      DataType[] input,
                                      DataType output)
```
    Registers a Java Lambda of 20 arguments as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataTypes
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF21<?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?> func,
                                      DataType[] input,
                                      DataType output)
```
    Registers a Java Lambda of 21 arguments as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataTypes
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0
  - udf
```
public static UserDefinedFunction udf(JavaUDF22<?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?> func,
                                      DataType[] input,
                                      DataType output)
```
    Registers a Java Lambda of 22 arguments as a Snowflake UDF and returns the UDF.
    
    Parameters:
    
    func - the Java lambda to be registered
    
    input - the UDF input types.DataTypes
    
    output - the UDF return types.DataType
    
    Returns:
    
    The result UserDefinedFunction reference
    
    Since:
    
    0.12.0

Class Functions

Method Summary

Methods inherited from class java.lang.Object

Method Detail

col

col

toScalar

lit

lead

lead

lead

sqlExpr

approx_count_distinct

avg

corr

count

countDistinct

countDistinct

count_distinct

covar_pop

covar_samp

grouping

grouping_id

kurtosis

max

max

min

min

mean

mean

median

skew

stddev

stddev_samp

stddev_pop

sum

sum

sum_distinct

variance

var_samp

var_pop

approx_percentile

approx_percentile_accumulate

approx_percentile_estimate

approx_percentile_combine

cume_dist

dense_rank

lag

lag

lag

ntile

percent_rank

rank

row_number

coalesce

equal_nan

is_null

negate

not

random

random

bitnot

to_decimal

div0

sqrt

abs

acos

asin

atan

atan2

ceil

floor

cos

cosh

exp

factorial

greatest

least

log

pow