In-built Functions

Supported Functions

Zoho Analytics provides you with a variety of inbuilt functions which are predefined mathematical formulas designed to perform specific well-known calculations easily. This section lists the supported inbuilt functions. 

Formula Column In-built functions

The following table gives a list of inbuilt functions provided by Zoho Analytics, which can be used to create any formula. The inbuilt formulas are categorized/grouped based on the type of function.

Date Functions

FUNCTION DESCRIPTION EXAMPLE
Absolute Month - absmonth(date_column)This function will return month and year from a given date value with the format (Month, yyyy).absmonth('2011/8/7') = August, 2011
Absolute Quarter - absquarter(date_column)This function will return Quarter and year from a given date value with the format (Quarter, yyyy).absquarter('2011/8/7') = Q3, 2011
Absolute Week - absweek(date_column)This function will return week and year from a given date value with the format (Week, yyyy).absweek('06/04/2011') = W14, 2011
Add Date -
adddate(date_column, num_of_days)
This function will add the specified number of days(num_of_days) to the given date value.adddate('2011/8/7',10) = 2011/8/1
Add Week
addweek(date_column, num_of_weeks)
This function will add the specified number of weeks(num_of_weeks) to the given date value.addweek('2013-08-27',10) = 2013-11-05
Add Month
addmonth(date_column, num_of_months)
This function will add the specified number of months(num_of_months) to the given date value.addmonth('2013-08-27',10) = 2014-06-27
Add Quarter
addquarter(date_column, num_of_quarters)
This function will add the specified number of quarter(num_of_quarter) to the given date value.addquarter('2013-08-27',10) = 2016-02-27
Add Year
addyear(date_column, num_of_years)
This function will add the specified number of year(num_of_year) to the given date value.addyear('2013-08-27',10) = 2023-08-27
Add Time - addtime(data_column, time)

 

This function returns the day by adding the time to the given date column.

addtime
('2002/02/21 18:23:26', '01:20:10') = 2002/02/21 19:43:36
Add Hours
addhour(date_column, num_of_hours)
This function returns the day by adding the number of hours to the given date column.addhour('2013-08-27',10) = 2013-08-27 10:00:00
Add Minutes
addminute(date_column, num_of_minutes)
This function returns the day by adding the number of minutes to the given date column.addminute('2013-08-27',10) = 2013-08-27 00:10:00
Add Seconds
addsecond(date_column, num_of_seconds)
This function returns the day by adding the number of seconds to the given date column.addsecond('2013-08-27',10) = 2013-08-27 00:00:10
Peroid Add
period_add(year_month, num_of_months)
Adds the specified number of months to the period and returns in the format
'yrmth'.
period_add(198608,6) = 198702
Age Months
age_months(from_date, to_date [Optional])
This function returns the age in months between the two given date columnsage_months('2013-08-27','2014-06-28') = 10
Age Years
age_years(from_date, to_date [Optional])
This function returns the age in months between the two given date columnsage_years('2013-08-27','2018-08-03') = 4
Business Completion Day
business_completion_day(from_date, num_of_days, exclude_weekends [Optional])
This function returns the date adding the given number of days excluding the specified weekends. In case weekends is not provided, then Saturday and Sunday are considered as weekends by default.business_completion_day('2018-01-01',10) = 2018-01-15
Business Days
business_days(from_date, to_date, exclude_weekends [Optional])
This function returns the count of the business days between the two given date columns excluding specified weekends. In case weekends is not provided, then Saturday and Sunday are considered as weekends by default.business_days('2018-01-27','2018-08-03') = 134

Business Hours
​business_hours(from_datetime, to_datetime, work_start_time, work_end_time, exclude_weekends [Optional])

This function returns the count of business hours in the business days between the two given datetime columns. In case weekends is not provided, then Saturday and Sunday are considered as weekends by default.business_hours('2018-01-27 10:00:00','2018-08-03 08:00:00','09:00:00','10:00:00','1000001') = 134
Convert String to Date
convert_string_to_date(string_column, date_format_of_the_value)
Converts the string into date and returns it in the specified format.convert_string_to_date('24/12/2009', '%d/%m/%Y') = 2009-12-24
Convert to Datetime
convert_to_datetime(string_column, date_format)
This function returns the date-time value by converting the given string.convert_to_datetime('2013 Aug 27','yyyy MMM dd') = 27 Aug, 2013
Convert TZ
convert_tz(date_column, current_timezone_offset, timezone_to_be_converted_offset)
This function returns the date and time value in converted timezone.convert_tz('2004-01-01 12:00:00','+00:00','+10:00') = 2004-01-01 22:00:00
Current Date
currentdate()
This function returns the current date of the computer or server.currentdate() = 15 Sep, 2011 10:06:18
Current Time
​current_time()
This function returns the current time. 
Current Timestamp
current_timestamp()
This function returns the current date and time. 
Now
now()
Returns the current date and time. 
Today
today()
Returns today's date. 
Tomorrow
tomorrow()
Returns tomorrow's date. 
Yesterday
yesterday()
Returns yesterday's date. 
UTC date
utc_date()
Returns the current UTC date. 
UTC time
utc_time()
Returns the current UTC time. 
UTC date-time 
utc_timestamp()
Returns the current UTC date-time value. 
Date
date(date_column)
This function returns the date part of the given date and time value.date('2013-08-07 14:15:16') = 2013-08-07
Date Format
date_format(date_column, date_format_to_be_converted)
This function returns the string form of the date for given date format.date_format('2008-08-03','%W %M %Y') = Sunday August 2008
Date and Time Diff - dateand
timediff(Unit, From Date, To Date[optional]
This function returns the date and time difference between two date columns based on the units specified. The supported units are SECOND, MINUTE, HOUR, DAY, WEEK, MONTH, QUARTER, YEAR.dateandtimediff(DAY, '2015-01-01', '2015-05-01')=120
The above example returns the difference between the given dates in Days.
Date Diff
datediff(date_column1, date_column2)
This function returns the difference between the two given date columns.datediff('2011/8/11','2010/9/11') = 334
Period Diff
period_diff(year_month, year_month)
Returns the difference between two periods in months.period_diff(198608,198602) = 2
Day - day(date_column)This function returns the day of the given date value.day( '2011/9/9') = 
Day Name
dayname(date_column)
This function returns the name of the weekday for the given date value(Sunday,Monday,...).dayname('1990-08-07') = Tuesday
Day of Week
dayofweek(date_column)
This function will return the number of the day of week of the given date value (Sunday = 1, Monday = 2,...).dayofweek('2011/9/9') = 6
Day of Month
dayofmonth(date_column)
This function returns the day of the month for the given date value.dayofmonth('1990-08-07') = 7
Day of Quarter
dayofquarter(date_column)
This function returns the count of days from the start day of the quarter to the given date value.dayofquarter('2017-08-07') = 38
Day of Year - dayofyear(date_column)This function will return the number of the day of the year of the given date value (0 through 365).dayofyear('2011/9/2') = 245
Days Between
​days_between(from_date, to_date [Optional])
This function returns the count of day between the two given date.days_between('2018-01-27','2018-08-03') = 188
End date
end_day(date_units, date_column)
This function returns the end date for the given date value and date units.end_day(month,'2018-08-27') = 2018-08-31
First Date Current Week
first_date_current_week(date_column, week_start_day [Optional])
This function returns the day the current week begins with. You can choose to set the start day of your week in the parameter week_start_day by specifying 1 - Sunday, 2- Monday,... 7 - Saturday. By default Sunday is the first day of the week.first_date_current_week('2013-10-11') = 2013-10-06
From Unixtime - fromunixtime(seconds)This function returns the unix time for the given seconds value.fromunixtime('1000') = 1970/01/01 05:46:40
Hour - hour(date_column)This function returns the hour of the given date value.hour('2011/8/7 10:35:23') = 10
Last Day - lastday(date_column)This function returns the last day of the month for the given date value.lastday('2011/9/7') = 2011/9/30
Last N Days
last_nday(date_column, num_of_days)
This function returns a date that is N number of days before the given date.last_nday('2018-08-04',15) = 2018-07-21
Last N Months
last_nmonth(date_column, num_of_months)
This function returns the date value for the given year and num_of_days values.makedate('2000','23') = 2000-01-23
Next N Days
​next_nday(date_column, num_of_days)
Returns a date that is N number of days after the given date. This is calculated
from a day after the given date.
next_nday('2018-08-04',15) = 2018-08-19
Next N Month
next_nmonth(date_column, num_of_months)
Returns a date that is N number of months after the given date. This is calculated
from a day after the given date.
next_nmonth('2018-08-04',15) = 2019-11-04
Next Weekday
next_weekday(date_column, weekday)
Returns the next date when the specified weekday falls.next_weekday('2018-08-01',1) = 2018-08-05
Previous N Day
previous_nday(date_column, num_of_days)
Returns a date that is N number of days before the given date. This is calculated from a day before the given date.previous_nday('2018-08-04',15) = 2018-07-20
Previous N Months
previous_nmonth(date_column, num_of_months)
Returns a date that is N number of months before the given date. This is calculated from a day before the given date.previous_nmonth('2018-08-04',15) = 2017-05-04
Make Date - makedate(year,num_of_days)This function returns the date value for the given year and number of the day value (0 through 365)makedate('2011','23') = 2011/1/23
Microsecond
microsecond(date_column)
This function returns the microsecond value from the given date-time argument value.microsecond('1990-08-07 10:35:23.3427') = 342700
Minute - minute(date_column)This function returns the minutes of the given date value.minute('2011/8/7 10:35:23') = 35
Second - second(date_column)This function returns the seconds of the given date/time value.second('2011/9/7 10:35:23') = 23
Modified Time -modifiedtime()    This function returns the created time of the record (if the record is newly added) or the last modified time of the record. When you apply this function, initially it will return the time at which the formula has been created. Subsequently it will return only the modified time of the record. 
Month - month(date_column)This function returns the name of the month of the given date value.month('2011/9/7') = September
Month Name
monthname(date_column)
This function returns the name of the month of the given date value.monthname('2011/9/7') = September
Month Number  - monthnum(date_column)This function returns the number of the month of the given date value.monthnum('2011/9/7') = 9
Months Between
months_between(from_date, to_date [Optional], iswhole_value [Optional])
Returns the count of months in fractional value considering 31 days as a month.months_between('2013-08-27','2018-08-03',1) = 59
Quarter - quarter(date_column)This function returns the quarter of the given date value.quarter('2011/8/7') = Q3
Quarter Name
quartername(date_column, fiscal_start_month [Optional])
Returns the quarter name of the given date value as a string.quartername('1990-08-07') = Q3
Quarter Number
quarternum(date_column, fiscal_start_month [Optional]) 
Returns the quarter of the given date in numeric format.quarternum('1990-08-07') = 3
Second to Time
sec_to_time(seconds)
Converts the given number of seconds to time and returns it in hours, minutes and seconds.sec_to_time(86399) = 23:59:59
Second
second(date_column)
Returns the seconds of the given date value.second('1990-08-07 10:35:23') = 23
Start Date
start_day(date_units, date_column)
Returns the start date for given date value and date units.start_day(month,'2018-08-27') = 2018-08-01
Sub Date - subdate(date_column,num_of_days)This function returns the date by subtracting the number of days(num_of_days) from the given date value.subdate('2011/9/15','6') = 1990/9/9
Sub Time - subtime(date_column,time)This function returns the date by subtracting the time from the given date with time value.subtime('2011/02/21 18:23:26','01:20:10') = 2011/02/21 17:03:16
Time
time(date_column)
Returns the time value of the given date-time value argument.time('2013-08-07 14:15:16') = 14:15:16
Time Format
time_format(time, time_format_to_be_converted)
Converts the time to the specified format and returns the same.time_format('19:30:41.32','%H %h %i %s %f') = 19 07 30 41 320000
Time to Sec
time_to_sec(date_column)
Converts the time value in hours and minutes to seconds and returns the same.time_to_sec('2013-08-07 14:15:16') = 51316
Time Diff
timediff(to_date, from_date)
Returns the difference between two time values passed in the 2 arguments.timediff('1990-08-17 16:15:14','1990-08-17 14:15:16') = 01:59:58
Timestamp
timestamp(date_column)
Returns the date time expression for a given date value.timestamp('2008-11-05') = 2008-11-05 00:00:00
Timestamp Add
timestampadd(unit, numeric_column, date_column)
Returns the date time after adding the specified number of interval.timestampadd(week,1,'2008-11-05 19:00:00') = 2008-11-12 19:00:00
Timestamp Diff
timestampdiff(unit, from_date, to_date)
Subtracts the first argument from the second argument and returns the value in the
specified unit.
timestampdiff(year,'2002-05-01','2001-01-01') = -1
Unix Timestamp
unix_timestamp(date_column [Optional])
Calculates the total number of seconds fromï¿1⁄2 the date '1970-01-01 00:00:00' to the given date-timeï¿1⁄2 and returns the same.unix_timestamp('2018-10-10 12:35:45') = 1539174945
Week
week(date_column)
Returns the week of the given date.week('2008-01-14') = 2
Weekday
weekday(date_column)
Returns weekday of the given date value.weekday('1990-08-07') = Tuesday
Week of Month
weekofmonth(date_column)
Returns the week number of the month for the given date value.weekofmonth('2008-01-14') = 3
Week of Year
weekofyear(date_column, week_start_day [Optional], week_mode [Optional], fiscal_start_month [Optional]
Returns the week number of the given date as numeric value.weekofyear('1990-08-07') = 32
Year - year(date_column)This function returns year from the given date value.year('2011/9/7') = 2011
Year Week
yearweek(date_column)
Returns the year and week of the given date.yearweek('2008-01-14') = 200802

Numeric Functions

FUNCTIONDESCRIPTIONEXAMPLE
Abs - abs(numeric_column)This function returns the absolute value (number without sign) of the 'numeric_column'pi() = 3.14159265358979
Acos - acos(numeric_column)This function returns the arc cosine value of the specified 'numeric_column'. Returns NULL if the 'numeric_column' is not in the range-1 to 1.pow(2,3) = 8
Asin - asin(numeric_column)This function returns the arc sine value of the specified 'numeric_column'. Returns NULL if the 'numeric_column' is not in the range-1 to 1.rand() = 0.282164005825449
Atan - atan(numeric_column)This function returns the arc tangent value of the specified 'numeric_column'.atan(2) = 1.107149
Atan2 - atan2(numeric_column1, numeric_column2)This function returns the arc tangent of the specified columns 'numeric_column1' / 'numeric_column2atan2(0.8, 0.6) = 0.927295
Ceil - ceil(numeric_column)This functions rounds the 'numeric_column' to the nearest integer which is greater than the 'numeric_column'ceil(11.56) = 12
Ceiling
ceiling(numeric_column)
Returns the smallest integer that is greater than or equal to the value of the
argument.
ceiling(10.43) = 11
Conv
conv(column, current_base, to_be_converted_base)
Converts the number string from the given base to the required base.conv('a',16,2) = 1010

Convert base

convertbase(column, current_base, to_be_converted_base)

Returns the converted string representation of the number N, from current base to
the to be converted base.
convertbase('a',16,2) = 1010
Cos - cos(numeric_column)This function returns the cosine value of the specified 'numeric_column'cos(0) = 1
Cot - cot(numeric_column)This function returns the cotangent value of the specified 'numeric_column'cot(0.25) = 3.916317
CRC32
crc32(string_column)
Returns a 32 bit unsigned output after calculating the cyclic redundency check.crc32('111') = 1298878781
Degrees - degrees(numeric_column)This function returns the angle in Degrees equivalent to the given Radiansdegrees(1) = 57.2957795
Exp - exp(numeric_column)This function returns the exponential value of the 'numeric_column'exp(2) = 7.389056
Floor - floor(numeric_column)Rounds the 'numeric_column' to the nearest integer which is less than the 'numeric_column'floor(11.56) = 11
Format
format(numeric_column1, numeric_column2)
Formats the number by rounding off the number to decimal places specified in the second argument and returns the value.format(1.0001111,5) = 1.00011
Greatest - greatest(numeric_column,..., numeric_column)Gives the greatest of the given arguments.greatest(10,20,5) = 20
Least - least(numeric_column,..., numeric_column)Gives the least of the given arguments.log10(3) = 0.477121
Ln - ln(numeric_column)This function returns the natural logarithm of the specified 'numeric_column'ln(5) = 1.609438
Log
log2(numeric_column)
Returns the logarithm to the base-2 of the numeric column.log2(32) = 5
Log10 - log10(numeric_column)This function returns the logarithm to the base-10 of the specified 'numeric_column'log10(3) = 0.477121
Log2 - log2(numeric_column)This function returns the logarithm to the base-2 of the 'numeric_columnlog2(32) = 5
Mod - mod(numeric_column1, numeric_column2)Returns the remainder of the 'numeric_column1' divided by 'numeric_column2'mod(10,3) = 1
OCT
oct(column)
Returns the octal value of the number given in the argument.oct(12) = 14
Pi - pi()This function returns the numeric value of the pi.pi() = 3.14159265358979
Power - pow(numeric_column1, numeric_column2)This function returns the value of 'numeric_column1' raised to the power of 'numeric_column2'pow(2,3) = 8
Random - rand()Returns a random value between 0 and 1.rand() = 0.9233482386203
Radians - radians(numeric_column)Returns the angle in radians equivalent to the given degreesradians(180) = 3.1415926
Round - round(numeric_column)Returns the rounded integer value of the 'numeric_column'.round(10.67) = 11
Sign - sign(numeric_column)Returns-1, 0, or 1, if the 'numeric_column' is negative, zero, or positive.sign(-23) =-1
Sin - sin(numeric_column)Returns the sine value of the 'numeric_column'.sin(0) = 0
Square - square(numeric_column)Returns the square of the specified 'numeric_column'.square(10) = 100
Square Root - sqrt(numeric_column)Returns the square root of the specified 'numeric_column'.sqrt(16) = 4
Tan - tan(numeric_column)Returns the tangent value of the specified 'numeric_column'.tan(0.5) = 0.546302

String Functions

FUNCTIONDESCRIPTIONEXAMPLE
ASCII
ascii(string_column)
Returns the ASCII value of the first character of the given argument.ascii('abcddb') = 97
Bit Length
bit_length(string_column)
Returns the value of the length of the string argument in bits.bit_length('AA') = 16
Char
char(numeric_column)
Returns a String of characters formed from the code values of the ASCII code
given in the arguments.
char(97,98) = ab
Char Length
char_length(string_column)
Returns the number of characters present in the argument.char_length('aa1') = 3
Character Length
character_length(string_column)
Returns the number of characters present in the argument.character_length('aa1') = 3
Concat - concat(string_column,...,string_column)Returns the concatenated string of the given arguments. If any one of the argument is null, it returns null.concat('abcd','ef','db') = abcdefdbd
Concat Ignore Null
concat_ignore_null(string_column1, string_column2, ...)
Returns the concatenated string of the given value ignoring null.concat('abcd','ef',null,'db') = abcdefdb
Concat_WS - concat_ws(separator,string_column1
,....,string_columnN)
Returns the concatenated string of the given arguments separated by the given separator. If the separator is null, it returns null.concat_ws('-','abcd','ef','db') = abcd-ef-db
ELT
elt(numeric_column, string_column1, string_column2, ...)
Returns the string value availableï¿1⁄2 at the index number specified in the first
argument.
elt('2','red','rose','is','beautiful') = rose
Field
field(string_column1, string_column2, ...)
Searches the value in the first argument with all the rest of the arguments and
returns the position of the argument where the first match is found.
field('as','has','as','have') = 2
Find in Set
find_in_set(string_column, string_column)
Searches the value in the first argument with the substrings in the second argument, seperated by commas, and returns the position of the substring where the first match is found.find_in_set('10','2,5,8,10') = 4
Hex
hex(string_column)
Returns the corresponding hexadecimal number for each character of the given
string.
hex(255) = FF
Insert - insert(string_column, start_pos, len, new_string)Returns the string 'string_column', with the substring beginning at position 'start_pos' and 'len' characters long replaced by the string 'new_string'. 'start_pos' should be greater than 0. When len is zero, the 'new_string' is inserted previous to the position 'start_pos'.insert('abcddb', 3, 2, 'efgh') = abefghdb
Initial Cap
initcap(string_column)
Converts the first character to upper case.initcap('analytics') = Analytics
Index of - indexof(string_column, sub_string)Returns the index of the first occurrence of the string 'sub_string' in string 'string_column'.indexof('abcddb','db') = 5
Instr
instr(string_column, sub_string)
Returns the position of the first match of second string argument in the first
argument.
instr('impossible','possible') = 3
Lcase
lcase(string_column)
Returns the string 'string_column' with all characters of the given column
changed to lowercase.
lcase('ABCd') = abcd
Left - left(string_column, len)Returns the 'len' number of characters from the left-hand side of the string 'string_column'.left('abcdef',3) = abc
Length - length(string_column)Returns the character length of the string.length('abcddb') = 6
Locate
locate(sub_string, string_column, start_pos)
Returns the index of the first occurence of the string 'sub_string' in string
'string_column' starting at the position 'start_pos'.
locate('db','zohodbdb',6) = 7
Lower
lower(string_column)
Returns the string 'string_column' with all characters of the given column
changed to lowercase.
lower('AbCD') = abcd
Lowercase - lowercase(string_column)Returns the string 'string_column' with all characters changed to lowercase.lowercase('AbCD') = abcd
Lpad - lpad(string_column, len, pad_string)Returns the string 'string_column', left-padded to a length of 'len' characters with the string 'pad_string'. If length of the string 'string_column' is greater than 'len', then the first 'len' characters of 'string_column' is returned.lpad('DB',5,'a') = aaaDB
Ltrim - ltrim(string_column)Returns the string 'string_column' with leading spaces removed.ltrim(' abcd') = abcd
Make Set
make_set(numeric_column, string_column, ...)
Returns the corresponding 'set' of arguments from the string arguments that have
the bit specified in the first argument.
make_set(1,'a','b','c') = a
Mid
mid(string_column, start_pos, string_len)
Return a string from 'string_column' starting at position 'start_pos' with a
character length of 'len'.
mid('abcddb', 1, 4) = abcd
Octet Length
octet_length(string_column)
Returns the byte length of the string.octet_length('abcddb') = 6
ORD
ord(string_column)
If the first character of the string argument is a multi-byte character, then the code calculated from the below formula is returned. 1st byte code + (2nd byte code * 256) + (3rd byte code * 256 * 256) + . . .ord('2') = 50
Repeat - repeat(string_column,count)repeat('Abcd',3) = 'AbcdAbcdAbcd' 
Replace - replace(string_column, from_string, to_string)Returns the string with all occurrences of the string 'from_str' replaced by the string 'to_str'replace('abcdac','ac','db') = abcddb
Reverse - reverse(string_column)Returns the reverse string of 'string_column'.reverse('abcd') = dcba
Right - right(string_column, len)Returns the 'len' number of characters from the right-hand side of the string 'string_column'right('abcdef',4) = cdef
Rpad - rpad(string_column, len, pad_string)Returns the string 'string_column', right-padded to a length of 'len' characters with the string 'pad_string'. If length of the string 'string_column' is greater than 'len', then the first 'len' characters of 'string_column' is returnedrpad('DB',5,'a') = DBaaa
Rtrim - rtrim(string_column)Returns the string 'string_column' with trailing spaces removed.rtrim('abcd ') = abcd
Soundex
soundex(string_column)
Returns a soundex string from 'string_column'. The soundex string is similar for
same sounding strings.
soundex('Hello') = H400
Space
space(numeric_column)
The argument value is returned as the number of space characters.space(6) = ' '
Strcmp - strcmp(string_column1, string_column2)Returns -1 if the 'string_column1' is smaller than the 'string_column2', 0 if the two strings are same, and 1 if the 'string_column1' is greater than the 'string_column2'.strcmp('abcd', 'abcde') =-1
Substr
substr(string_column, start_pos, string_len [Optional])
Returns the substring formed by cutting off the string argument passed according
to the needs.
substr('abcddb', 2,) = bcddb
Substring - substring(string_column, start_pos, string_len)Returns a substring from 'string_column'. The substring begins at position 'start_pos' with the character length of 'string_len'.substring('abcddb', 1, 4) = abcd
Substring Between
substring_between(string_column, sub_string, sub_string, start_pos [Optional])
Returns the characters between the two given substrings in the main string.substring_between('abcddb','b','d',1) = c
Substring Count
substring_count(string_column, sub_string)
Returns the count of substring occurred in the main string.substring_count('abcddb','cd') = 1
Substring Index
substring_index(string_column, delimiter, delimiter_count)
Returns the substring from string 'string_column' before count 'delimiter_count'
occurrences of the delimiter 'delimiter'.
substring_index('how.are.you', '.', 2) = how.are
Substring Position
substring_position(string_column, sub_string, start_pos [Optional])
Returns the position of substring in the main string.substring_position('abcddb','cd') = 3
Trim - trim(string_column)Returns the string with all spaces removed in prefix and suffix of the string.trim(' abcd ') = abcd
Ucase
ucase(string_column)
Returns the string 'string_column' with all characters changed to uppercase.ucase('abcD') = ABCD
Unhex
unhex(string_column)
Returns the corresponding character for each pair of hexadecimal digits.unhex('21') = !
Upper
upper(string_column)
Returns the string 'string_column' with all characters changed to uppercase.upper('abcD') = ABCD
Uppercase - uppercase(string_column)  Returns the string 'string_column' with all characters changed to uppercase.uppercase('abcD') = ABCD

Logical Functions

FUNCTIONDESCRIPTIONEXAMPLE
IF - if(expr1,expr2,expr3)Returns expr2 if expr1 is true else it returns expr3if(5> 10,100,3) = 3
If Case
if_case(column, matchExpr1, returnValue1, matchExpr2, returnValue2, ..., elseValue [Optional])
Returns the 'returnValue' if the given column satisfied with 'matchExpr'.if_case('Subject','issue','Issue List',equals('bug'),'Bug List','Support List') = if the 'Subject' column equals issue then it returns 'Issue List' else if 'Subject' column equals 'bug' then it returns 'Bug List' else it returns 'Support List' if_case('Subject',startswith('issue','bug'),'Issue List',contains('help','Call'),'Call List','Support List') = if the 'Subject' column starts with 'issue' or 'bug' then it returns 'Issue List' else if 'Subject' column contains 'help' or 'Call' then it returns 'Call List' else it returns 'Support List'
Ifnull - ifnull(expr1,expr2)Returns expr1 if expr1 is not null, else it return expr2ifnull(null,10) = 10
Is Empty
isempty(column)
Returns '1' if the given column does not have any value. Returns '0' if the given
column have some value.
isempty(null) = 1
isnull( ) - isnull(expr1)Returns 1 if expr1 is null, else it returns 0.isnull(null)- 1

General Functions

FUNCTIONDESCRIPTION EXAMPLE
Coalesce - coalesce(null,null,1,...)Returns 1 if expr1 is null, else it returns 0.coalesce(null,null,4) = 4

 

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