Learn the operators and functions you can use to create formulas in ThoughtSpot.

ThoughtSpot allows you to create derived columns in worksheets using formulas. You create these columns by building formulas using the Formula Assistant. An individual formula is constructed from n combination of operators and functions.

This reference lists the various operators and functions you can use to create formulas.

## Operators

Operator Description Examples
`and` Returns `true` when both conditions are `true`, otherwise returns `false`. `(1 = 1) and (3 > 2) = true`
`lastname = 'smith' and state ='texas'`
`if…then…else` Conditional operator `if (3 > 2) then 'bigger' else 'not bigger'`
`if (cost > 500) then 'flag' else 'approve'`
`ifnull` Returns the first value if it is not `null`, otherwise returns the second value. `ifnull (cost, 'unknown')`
`in` Takes a column name and a list of values. It checks each column value against the list of values in the formula, and returns `true` if the column value matches one of the values in the formula. ` state in { 'texas' , 'california' }`
`isnull` Returns `true` if the value is `null`. `isnull (phone)`
`not` Returns `true` if the condition is `false`, otherwise returns `false`. `not (3 > 2) = false`
`not (state = 'texas')`
`or` Returns `true` when either condition is `true`, otherwise returns `false`. `(1 = 5) or (3 > 2) = true`
`state = 'california' or state ='oregon'`

## Aggregate functions (group aggregate)

Use the following functions to aggregate data.

Function Description Examples
`average` Returns the average of all the values of a column. `average (revenue)`
`average_if` Returns the average of all the columns that meet a given criteria. `average_if(city = "San Francisco", revenue)`
`count` Returns the number of rows in the table containing the column. `count (product)`
`count_if` Returns the number of rows in the table containing the column. `count_if(region =’west’, region)`
`cumulative_average` Takes a measure and one or more attributes. Returns the average of the measure, accumulated by the attribute(s) in the order specified. `cumulative_average (revenue, order date, state)`
`cumulative_max` Takes a measure and one or more attributes. Returns the maximum of the measure, accumulated by the attribute(s) in the order specified. `cumulative_max (revenue, state)`
`cumulative_min` Takes a measure and one or more attributes. Returns the minimum of the measure, accumulated by the attribute(s) in the order specified. `cumulative_min (revenue, campaign)`
`cumulative_sum` Takes a measure and one or more attributes. Returns the sum of the measure, accumulated by the attribute(s) in the order specified. `cumulative_sum (revenue, order date)`
`group_aggregate` Takes a measure and optional attributes and filters. Used to aggregate measures with different granularities and filters than the columns used in the search. Commonly used in comparison analysis.

This formula takes the following form:
`group_aggregate (<aggregation(measure)>, <groupings>, <filters>)`

Define lists using curly brackets, `{ }`. Optional list functions `query_groups` or `query_filters` specify the lists or filters used in the original search. Use `+` (plus) and `-` (minus) to add or exclude specific columns for query groups.

`group_aggregate (sum (revenue), {ship mode, date}, {} )`

`group_aggregate (sum (revenue), {ship mode , date}, {day_of_week (date) = 'friday'} )`

`group_aggregate (sum (revenue), query_groups(), query_filters() )`

`group_aggregate (sum (revenue), query_groups() + {date}, query_filters() )`
`group_average` Takes a measure and one or more attributes. Returns the average of the measure grouped by the attribute(s). `group_average (revenue, customer region, state)`
`group_count` Takes a measure and one or more attributes. Returns the count of the measure grouped by the attribute(s). `group_count (revenue, customer region)`
`group_max` Takes a measure and one or more attributes. Returns the maximum of the measure grouped by the attribute(s). `group_max (revenue, customer region)`
`group_min` Takes a measure and one or more attributes. Returns the minimum of the measure grouped by the attribute(s). `group_min (revenue, customer region)`
`group_stddev` Takes a measure and one or more attributes. Returns the standard deviation of the measure grouped by the attribute(s). `group_stddev (revenue, customer region)`
`group_sum` Takes a measure and one or more attributes. Returns the sum of the measure grouped by the attribute(s). `group_sum (revenue, customer region)`
`group_unique_count` Takes a measure and one or more attributes. Returns the unique count of the measure grouped by the attribute(s). `group_unique_count (product , supplier)`
`group_variance` Takes a measure and one or more attributes. Returns the variance of the measure grouped by the attribute(s). `group_variance (revenue, customer region)`
`max` Returns the maximum value of a column. `max (sales)`
`max_if` Returns the maximum value among columns that meet a criteria. `max_if( (revenue > 10) , customer region )`
`min` Returns the minimum value of a column. `min (revenue)`
`min_if` Returns the minimum value among columns that meet a criteria. `min_if( (revenue < 10) , customer region )`
`moving_average` Takes a measure, two integers to define the window to aggregate over, and one or more attributes. The window is (current - Num1…Current + Num2) with both end points being included in the window. For example, “1,1” will have a window size of 3. To define a window that begins before Current, specify a negative number for Num2. Returns the average of the measure over the given window. The attributes are the ordering columns used to compute the moving average. `moving_average (revenue, 2, 1, customer region)`
`moving_max` Takes a measure, two integers to define the window to aggregate over, and one or more attributes. The window is (current - Num1…Current + Num2) with both end points being included in the window. For example, “1,1” will have a window size of 3. To define a window that begins before Current, specify a negative number for Num2. Returns the maximum of the measure over the given window. The attributes are the ordering columns used to compute the moving maximum. `moving_max (complaints, 1, 2, store name)`
`moving_min` Takes a measure, two integers to define the window to aggregate over, and one or more attributes. The window is (current - Num1…Current + Num2) with both end points being included in the window. For example, “1,1” will have a window size of 3. To define a window that begins before Current, specify a negative number for Num2. Returns the minimum of the measure over the given window. The attributes are the ordering columns used to compute the moving minimum. `moving_min (defects, 3, 1, product)`
`moving_sum` Takes a measure, two integers to define the window to aggregate over, and one or more attributes. The window is (current - Num1…Current + Num2) with both end points being included in the window. For example, “1,1” will have a window size of 3. To define a window that begins before Current, specify a negative number for Num2. Returns the sum of the measure over the given window. The attributes are the ordering columns used to compute the moving sum. `moving_sum (revenue, 1, 1, order date)`
`rank` Returns the rank for the current row. Identical values receive an identical rank. Takes an aggregate input for the first argument. The second argument specifies the order, `'asc' | 'desc'`. `rank (sum (revenue) , 'asc' )`
`rank (sum (revenue) , ‘desc' )`
`rank_percentile` Returns the percentile rank for the current row. Identical values are assigned an identical percentile rank. Takes an aggregate input for the first argument. The second argument specifies the order, `'asc' | 'desc'`. `rank_percentile (sum (revenue) , 'asc' )`
`rank_percentile (sum (revenue) , 'desc' )`
`stddev` Returns the standard deviation of all values of a column. `stddev (revenue)`
`stddev_if` Returns a standard deviation values filtered to meet a specific criteria. `stddev_if( (revenue > 10) , (revenue/10.0) )`
`sum` Returns the sum of all the values of a column. `sum (revenue)`
`sum_if` Returns sum values filtered by a specific criteria. `sum_if(region=’west’, revenue)`
`unique count` Returns the number of unique values of a column. `unique count (customer)`
`unique_count_if` Returns the number of unique values of a column provided it meets a criteria. `unique_count_if( (revenue > 10) , order date )`
`variance` Returns the variance of all the values of a column. `variance (revenue)`
`variance_if` Returns the variance of all the values of a column provided it meets a criteria.. `variance_if( (revenue > 10) , (revenue/10.0) )`

## Conversion functions

Use these functions to convert data from one data type into another data type.

ThoughtSpot does not support date data type conversion.

Function Description Examples
`to_bool` Returns the input as a `boolean` data type (`true` or `false`). `to_bool (0) = false`
`to_bool (married)`
`to_date` Accepts a date represented as an integer or text string, and a second string parameter that can include `strptime` date formatting elements.
Replaces all the valid strptime date formatting elements with their string counterparts and returns the result.
Does not accept epoch formatted dates as input.
`to_date (date_sold, '%Y-%m-%d')`
`to_double` Returns the input as a `double` data type. `to_double ('3.14') = 3.14`
`to_double (revenue * .01)`
`to_integer` Returns the input as an integer. `to_integer ('45') + 1 = 46`
`to_integer (price + tax - cost)`
`to_string` Returns the input as a text string. To convert a date data type to a string data type, specify the date format you want to use. `to_string (45 + 1) = '46'`
`to_string (revenue - cost)`
`to_string (date,('%m/%d/%y')) `

## Date functions

Function Description Examples
`add_days` Returns the result of adding the specified number of days to the given date. `add_days (01/30/2015, 5) = 02/04/2015`
`add_days (invoiced, 30)`
`add_minutes` Returns the result of adding the specified number of minutes to the given date/datetime/time. `add_minutes ( 01/30/2015 00:10:20 , 5 ) = 01/30/2015 00:15:20`
`add_minutes ( invoiced , 30 )`
`add_months` Returns the result of adding the specified number of months to the given date. `add_months ( 01/30/2015, 5 ) = 06/30/2015`
`add_months ( invoiced_date , 5 )`
`add_seconds` Returns the result of adding the specified number of seconds to the given date/ datetime/ time. `add_seconds ( 01/30/2015 00:00:00, 5 ) = 06/30/2015 00:00:05`
`add_seconds ( invoiced_date , 5 )`
`add_weeks` Returns the result of adding the specified number of weeks to the given date. `add_weeks ( 01/30/2015, 2 ) = 02/13/2015`
`add_weeks ( invoiced_date , 2 )`
`add_years` Returns the result of adding the specified number of years to the given date. `add_years ( 01/30/2015, 5 ) = 01/30/2020`
`add_years ( invoiced_date , 5 )`
`date` Returns the date portion of a given date. `date (home visit)`
`day` Returns the number (1-31) of the day of the month for the given date. `day (01/15/2014) = 15`
`day (date ordered)`
`day_number_of_quarter` Returns the number of the day in a quarter for a given date. You can add an optional second parameter to specify whether a 'fiscal' or 'calendar' year is used to calculate the result. The default is 'calendar'. `day_number_of_quarter (01/30/2015) = 30`

In the following example, May 1st is the start of the fiscal year.

`day_number_of_quarter (01/30/2015, 'fiscal') = 91`
`day_number_of_week` Returns the number (1-7) of the day in a week for a given date. Monday is 1, and Sunday is 7. `day_number_of_week(01/15/2014) = 3`
`day_number_of_week (shipped)`
`day_number_of_year` Returns the number (1-366) of the day in a year from a given date. You can add an optional second parameter to specify whether a 'fiscal' or 'calendar' year is used to calculate the result. The default is 'calendar'. `day_number_of_year (01/30/2015) = 30`

In the following example, May 1st is the start of the fiscal year.

`day_number_of_year ( 01/30/2015, 'fiscal' ) = 275`
`day_number_of_year (invoiced)`
`day_of_week` Returns the day of the week for the given date. `day_of week (01/30/2015) = Friday`
`day_of_week (serviced)`
`diff_days` Subtracts the second date from the first date and returns the result in number of days, rounded down if not exact. `diff_days (01/15/2014, 01/17/2014) = -2`
`diff_days (purchased, shipped)`
`diff_time` Subtracts the second date from the first date and returns the result in number of seconds. `diff_time (01/30/2014, 01/31/2014) = -86,400`
`diff_time (clicked, submitted)`
`hour_of_day` Returns the hour of the day for the given date. `hour_of_day (received)`
`is_weekend` Returns true if the given date falls on a Saturday or Sunday. `is_weekend (01/31/2015) = true`
`is_weekend (emailed)`
`month` Returns the month from the given date. `month (01/15/2014) = January`
`month (date ordered)`
`month_number` Returns the number (1-12) of the month from a given date. You can add an optional second parameter to specify whether a 'fiscal' or 'calendar' year is used to calculate the result. The default is 'calendar'. `month_number (09/20/2014) = 9`

In the following example, May 1st is the start of the fiscal year.

`month_number ( 09/20/2014, 'fiscal' ) = 5`
`month_number (purchased)`
`month_number_of_quarter` Returns the month (1-3) number for the given date in a quarter. You can add an optional second parameter to specify whether a 'fiscal' or 'calendar' year is used to calculate the result. The default is 'calendar'. `month_number_of_quarter (02/20/2018) = 2 `

In the following example, May 1st is the start of the fiscal year.

`month_number_of_quarter (02/20/2018,'fiscal' ) = 1`
`now` Returns the current timestamp. `now ()`
`quarter_number` Returns the number (1-4) of the quarter associated with the given date. You can add an optional second parameter to specify 'fiscal' or 'calendar' dates. The default is 'calendar'. `quarter_number ( 04/14/2014) = 2 `

In the following example, May 1st is the start of the fiscal year.

`quarter_number ( 04/14/2014, 'fiscal' ) = 4`
`quarter_number ( shipped )`
`start_of_month` Returns `MMM yyyy` for the first day of the month. Your installation configuration can override this setting so that it returns a different format such as `MM/dd/yyyy`. Speak with your ThoughtSpot administrator for information on doing this. `start_of_month ( 01/31/2015 ) = Jan FY 2015`
`start_of_month (shipped)`
`start_of_quarter` Returns the date for the first day of the quarter for the given date. You can add an optional second parameter to specify whether a 'fiscal' or 'calendar' year is used to calculate the result. The default is 'calendar'. `start_of_quarter ( 04/30/2014) = Apr 2014`

In the following example, May 1st is the start of the fiscal year.

`start_of_quarter ( 04/30/2014, 'fiscal') = Feb 2014`
`start_of_quarter (sold)`
`start_of_week` Returns the date for the first day of the week for the given date. `start_of_week ( 01/31/2020 ) = 01/27/2020`
`start_of_week (emailed)`
`start_of_year` Returns the date for the first day of the year for the given date. You can add an optional second parameter to specify whether a 'fiscal' or 'calendar' year is used to calculate the result. The default is 'calendar'. `start_of_year (04/30/2014) returns Jan 2014`

In the following example, May 1st is the start of the fiscal year.

`start_of_year (04/30/2014, 'fiscal') returns May 2013`
`start_of_year (joined)`
`time` Returns the time portion of a given date. `time (1/31/2002 10:32) = 10:32`
`time (call began)`
`today` Returns the current date. `today ()`
`week_number_of_month` Returns the week number for the given date in a month. `week_number_of_month(03/23/2017) = 3`
`week_number_of_quarter` Returns the week number for the given date in a quarter. You can add an optional second parameter to specify whether a 'fiscal' or 'calendar' year is used to calculate the result. The default is 'calendar'. `week_number_of_quarter (01/31/2020) = 5`

In the following example, May 1st is the start of the fiscal year.

`week_number_of_quarter (05/31/2020, 'fiscal') = 5`
`week_number_of_year` Returns the week number for the given date in a year. You can add an optional second parameter to specify whether a 'fiscal' or 'calendar' year is used to calculate the result. The default is 'calendar'. `week_number_of_year (01/17/2014) = 3`

In the following example, May 1st is the start of the fiscal year.

`week_number_of_year ( 01/17/2014, 'fiscal') = 38`
`year` Returns the year from a given date. You can add an optional second parameter to specify whether a 'fiscal' or 'calendar' year is used to calculate the result. The default is 'calendar'. `year (01/15/2014) = 2014`

In the following example, May 1st is the start of the fiscal year. Per standard convention, the fiscal year is defined by the year-end date.

`year (12/15/2013, 'fiscal' ) = 2014`
`year (date ordered)`

## Mixed functions

These functions can be used with text and numeric data types.

Function Description Examples
`!=` Returns true if the first value is not equal to the second value. `3 != 2 = true`
`revenue != 1000000`
`<` Returns true if the first value is less than the second value. `3 < 2 = false`
`revenue < 1000000`
`<=` Returns true if the first value is less than or equal to the second value. `1 <= 2 = true`
`revenue <= 1000000`
`=` Returns true if the first value is equal to the second value. `2 = 2 = true`
`revenue = 1000000`
`>` Returns true if the first value is greater than the second value. `3 > 2 = true`
`revenue > 1000000`
`>=` Returns true if the first value is greater than or equal to the second value. `3 >= 2 = true`
`revenue >= 1000000`
`greatest` Returns the larger of the values. `greatest (20, 10) = 20`
`greatest (q1 revenue, q2 revenue)`
`least` Returns the smaller of the values. `least (20, 10) = 10`
`least (q1 revenue, q2 revenue)`

## Number functions

Function Description Examples
`*` Returns the result of multiplying both numbers. `3 * 2 = 6`
`price * taxrate`
`+` Returns the result of adding both numbers. `1 + 2 = 3`
`price + shipping`
`-` Returns the result of subtracting the second number from the first. `3 - 2 = 1`
`revenue - tax`
`/` Returns the result of dividing the first number by the second. `6 / 3 = 2`
`markup / retail price`
`^` Returns the first number raised to the power of the second. `3 ^ 2 = 9`
`width ^ 2`
`abs` Returns the absolute value. `abs (-10) = 10`
`abs (profit)`
`acos` Returns the inverse cosine in degrees. `acos (0.5) = 60`
`acos (cos-satellite-angle)`
`asin` Returns the inverse sine (specified in degrees). `asin (0.5) = 30`
`asin (sin-satellite-angle)`
`atan` Returns the inverse tangent in degrees. `atan (1) = 45`
`atan (tan-satellite-angle)`
`atan2` Returns the inverse tangent in degrees. `atan2 (10, 10) = 45`
`atan2 (longitude, latitude)`
`cbrt` Returns the cube root of a number. `cbrt (27) = 3`
`cbrt (volume)`
`ceil` Returns the smallest following integer. `ceil (5.9) = 6`
`ceil (growth rate)`
`cos` Returns the cosine of an angle (specified in degrees). `cos (63) = 0.45`
`cos (beam angle)`
`cube` Returns the cube of a number. `cube (3) = 27`
`cube (length)`
`exp` Returns Euler’s number (~2.718) raised to a power. `exp (2) = 7.38905609893`
`exp (growth)`
`exp2` Returns 2 raised to a power. `exp2 (3) = 8`
`exp2 (growth)`
`floor` Returns the largest previous integer. `floor (5.1) = 5`
`floor (growth rate)`
`ln` Returns the natural logarithm. `ln (7.38905609893) = 2`
`ln (distance)`
`log10` Returns the logarithm with base 10. `log10 (100) = 2`
`log10 (volume)`
`log2` Returns the logarithm with base 2 (binary logarithm). `log2 (32) = 5`
`log2 (volume)`
`mod` Returns the remainder of first number divided by the second number. `mod (8, 3) = 2`
`mod ( revenue , quantity )`
`pow` Returns the first number raised to the power of the second number. `pow (5, 2) = 25`
`pow (width, 2)`
`random` Returns a random number between 0 and 1. `random ( ) = .457718`
`random ( )`
`round` Returns the first number rounded to the second number (the default is 1). `round (35.65, 10) = 40`
`round (battingavg, 100)`
`round (48.67, .1) = 48.7`
`safe_divide` Returns the result of dividing the first number by the second. If the second number is 0, returns 0 instead of NaN (not a number). `safe_divide (12, 0) = 0`
`safe_divide (total_cost, units)`
`sign` Returns +1 if the number is greater than zero, -1 if less than zero, 0 if zero. `sign (-250) = -1`
`sign (growth rate)`
`sin` Returns the sine of an angle (specified in degrees). `sin (35) = 0.57`
`sin (beam angle)`
`spherical_distance` Returns the distance in km between two points on Earth. `spherical_distance (37.465191, -122.153617, 37.421962, -122.142174) = 4,961.96`
`spherical_distance (start_latitude, start_longitude, start_latitude, start_longitude)`
`sq` Returns the square of a numeric value. `sq (9) = 81`
`sq (width)`
`sqrt` Returns the square root. `sqrt (9) = 3`
`sqrt (area)`
`tan` Returns the tangent of an angle (specified in degrees). `tan (35) = 0.7`
`tan (beam angle)`

## Text functions

Function Description Examples
`concat` Returns two or more values as a concatenated text string. Use single quotes around each literal string, not double quotes. `concat ( 'hay' , 'stack' ) = 'haystack'`
`concat (title, ' ', first_name , ' ', last_name)`
`contains` Returns true if the first string contains the second string, otherwise returns false. `contains ('broomstick', 'room') = true`
`contains (product, 'trial version')`
`edit_distance` Accepts two text strings. Returns the edit distance (minimum number of operations required to transform one string into the other) as an integer. Works with strings under 1023 characters. `edit_distance ('attorney', 'atty') = 4`
`edit_distance (color, 'red')`
`edit_distance_with_cap` Accepts two text strings and an integer to specify the upper limit cap for the edit distance (minimum number of operations required to transform one string into the other). If the edit distance is less than or equal to the specified cap, returns the edit distance. If it is higher than the cap, returns the cap plus 1. Works with strings under 1023 characters. `edit_distance_with_cap ('pokemon go', 'minecraft pixelmon', 3) = 4`
`edit_distance_with_cap (event, 'burning man', 3)`
`similar_to` Accepts a document text string and a search text string. Returns true if relevance score (0-100) of the search string with respect to the document is greater than or equal to 20. Relevance is based on edit distance, number of words in the query, and length of words in the query which are present in the document. `similar_to ('hello world', 'hello swirl') = true`
`similar_to (current team, drafted by)`
`similarity` Accepts a document text string and a search text string. Returns the relevance score (0-100) of the search string with respect to the document. Relevance is based on edit distance, number of words in the query, and length of words in the query which are present in the document. If the two strings are an exact match, returns 100. `similarity ('where is the burning man concert', 'burning man') = 46`
`similarity (tweet1, tweet2)`
`spells_like` Accepts two text strings. Returns true if they are spelled similarly and false if they are not. Works with strings under 1023 characters. `spells_like ('thouhgtspot', 'thoughtspot') = true`
`spells_like (studio, distributor)`
`strlen` Returns the length of the text. `strlen ('smith') = 5`
`strlen (lastname)`
`strpos` Returns the numeric position (starting from 0) of the first occurrence of the second string in the first string, or -1 if not found. `strpos ('haystack_with_needles', 'needle') = 14`
`strpos (complaint, 'lawyer')`
`substr` Returns the portion of the given string, beginning at the location specified (starting from 0), and of the given length. `substr ('persnickety', 3, 7) = snicket`
`substr (lastname, 0, 5)`

## Connections passthrough functions

Function Description Examples
`sql_bool_aggregate_op` Returns the boolean data type. The first argument takes the signature of the external function to be executed against the datasource. Subsequent arguments take the values to be passed to the external function.
• `sql_bool_aggregate_op ( "booland_agg ({0})" , is_delivered )`
`sql_bool_op` Returns the boolean data type. The first argument takes the signature of the external function to be executed against the datasource. Subsequent arguments take the values to be passed to the external function. `sql_bool_op ( "is_decimal ({0})" , itemCount )sql_bool_op ( "is_decimal ({0})" , itemCount )sql_bool_op ( "boolor ({0}, {1})" , 2 , 0 ) = True`
`sql_date_aggregate_op` Returns the date data type. The first argument takes the signature of the external function to be executed against the datasource. Subsequent arguments take the values to be passed to the external function. `sql_date_aggregate_op ( "max ({0})" , orderdate )`
`sql_date_op` Returns the date data type. The first argument takes the signature of the external function to be executed against the datasource. Subsequent arguments take the values to be passed to the external function. `sql_date_op ( "previous_day ({0})" , ship_date )`
`sql_date_time_aggregate_op` Returns the timestamp data type. The first argument takes the signature of the external function to be executed against the datasource. Subsequent arguments take the values to be passed to the external function. `sql_date_time_aggregate_op ( "max ({0})" , delivery_time )`
`sql_date_time_op` Returns the timestamp data type. The first argument takes the signature of the external function to be executed against the datasource. Subsequent arguments take the values to be passed to the external function. `sql_date_time_op ( "timestamp_sub ({0}, {1})" , sale_time , 'INTERVAL 30 MINUTE')`
`sql_double_aggregate_op` Returns the double data type. The first argument takes the signature of the external function to be executed against the datasource. Subsequent arguments take the values to be passed to the external function. `sql_double_aggregate_op ( "approx_percentile ({0}, {1})" , unrealised_gain , 0.99 )`
`sql_double_op` Returns the double data type. The first argument takes the signature of the external function to be executed against the datasource. Subsequent arguments take the values to be passed to the external function. `sql_double_op ( "acosh ({0})" , quantity )sql_double_op ( "radians ({0})" , 180 ) = 3.141592654`
`sql_int_aggregate_op` Returns the int data type. The first argument takes the signature of the external function to be executed against the datasource. Subsequent arguments take the values to be passed to the external function. `sql_int_aggregate_op ( "approx_count_distinct ({0})" , sale_volume )sql_int_aggregate_op ( "bitand_agg({0}) OVER ( [ partition by {1} ] )" , user_permissions , user_type )`
`sql_int_op` Returns the int data type. The first argument takes the signature of the external function to be executed against the datasource. Subsequent arguments take the values to be passed to the external function. `sql_int_op ( "ceil ({0})" , itemCount )sql_int_op ( "charindex ({0}, {1})" , "qwerty" , "rty" ) = 4`
`sql_string_aggregate_op` Returns the timestamp data type. The first argument takes the signature of the external function to be executed against the datasource. Subsequent arguments take the values to be passed to the external function. `sql_string_aggregate_op ( "min ({0})" , username )`
`sql_string_op` Returns the string data type. The first argument takes the signature of the external function to be executed against the datasource. Subsequent arguments take the values to be passed to the external function. `sql_string_op ( "soundex ({0})" , "Marks" )`
`sql_time_aggregate_op` Returns the time data type. The first argument takes the signature of the external function to be executed against the datasource. Subsequent arguments take the values to be passed to the external function. `sql_time_aggregate_op ( "max (time ({0}))" , delivery_time )`
`sql_time_op` Returns the time data type. The first argument takes the signature of the external function to be executed against the datasource. Subsequent arguments take the values to be passed to the external function. `sql_time_op ( "time_from_parts ({0}, {1}, {2})" , 12 , 30 , 20 ) = 12:30:20`