The following changes have been applied to  in this release of .

Release 6.4

Improvements to metadata references

Broader support for metadata references: For Excel files, $filepath references now return the location of the source Excel file. Sheet names are appended to the end of the reference. See Source Metadata References.

Release 6.3

New Functions

Function NameDescription

Optional input formats for DateFormat task

The DateFormat task now supports a new parameter: Input Formats. This parameter specifies the date format to use when attempting to parse the input column.

Release 6.2

New Functions

Function NameDescription
RANK Function


ARRAYELEMENTAT function accepts new inputs

In previous releases, the ARRAYELEMENTAT function accepted a second input parameter to specify the index value of the element to retrieve. This "at" parameter had to be an Integer literal.

Beginning in this release, the function also accepts for this second "at" parameter:

For more information, see ARRAYELEMENTAT Function.

Release 6.1


Release 6.0

New Functions

Function NameDescription




Changes to LIST* inputs

The following LIST-based functions have been changed to narrow the accepted input data types. In previous releases, any data type was accepted for input, which was not valid for most data types. 

In Release 6.0 and later, these functions accept only Array inputs. Inputs can be Array literals, a column of Arrays, or a function returning Arrays.

NOTE: You should references to these functions in your recipes.

LIST* Functions
LISTMIN Function
LISTMAX Function
LISTSUM Function
LISTVAR Function

Renamed functions

The following functions have been renamed in Release 6.0.

Release 5.9 and earlierRelease 6.0 and later

FILL Function has new before and after parameters

Prior to Release 6.0, the FILL function replaced empty cells with the most recent non-empty value. 

In Release 6.0, before and after function parameters have been added. These parameters define the window of rows before and after the row being tested to search for non-empty values. Within this window, the most recent non-empty value is used. 

The default values for these parameters are -1 and 0 respectively, which performs a search of an unlimited number of preceding rows for a non-empty value.

NOTE: Upon upgrade, the FILL function retains its preceding behavior, as the default values for the new parameters perform the same unlimited row search for non-empty values.

For more information, see FILL Function.

Release 5.9

New functions

The following functions can now be applied directly to arrays to derive meaningful statistics about them. 



Release 5.8

File lineage information using source metadata references

Beginning in Release 5.8, you can insert the following references into the formulas of your transformations. These source metadata references enable you to continue to track file lineage information from within your datasets as part of your wrangling project.

NOTE: These references apply only to file-based sources. Some additional limitations may apply.

$filepathReturns the full path and filename of the source of the dataset.

Returns the row number for the current row from the original source of the dataset.

NOTE: This reference is equivalent to the SOURCEROWNUMBER function, which is likely to be deprecated in a future release. You should begin using this reference in your recipes.

 For more information, see Source Metadata References.

New math and statistical functions for arrays

The following functions can now be applied directly to arrays to derive meaningful statistics about them. 

LISTSUM Function

LISTMAX Function

LISTMIN Function


LISTVAR Function




Release 5.7

WEEKNUM function now behaves consistently across running environments

In Release 5.6 and earlier, the WEEKNUM function treated the first week of the year differently between the  and Spark running environments:

This issue was caused by Spark following an ISO-8601 standard and relying on the joda datetimeformatter. 

Beginning in Release 5.7, the WEEKNUM function behaves consistently for both  and Spark:

For more information, see WEEKNUM Function.

Release 5.6

URLPARAMS function returns null values

In Release 5.1 and earlier, the URLPARAMS function returned empty Objects when no answer was computed for the function. 

In Release 5.6 and later, this function returns null values in the above case.

See URLPARAMS Function.

Release 5.1

 now supports nested expressions

Beginning in Release 5.1, all  functions now supported nested expressions, which can be arithmetic calculations, column references, or other function calls.

NOTE: This feature is enabled by default, as this change does not break any steps created in previous versions of the product. It can be disabled if needed. See Miscellaneous Configuration.

NOTE: This capability represents a powerful enhancement to the language, as you can now use dynamic inputs for all functions.

The following expression is a valid transform in . It locates the substring in myString that begins with the @ sign until the end of the string, inclusive:

derive value: substring(myString, find(myString, '@', true, 0), length(myString)

Nested arithmetic expressions:

Suppose you wanted just the value after the @ sign until the end of the string. Prior to Release 5.1, the following generated a validation error:

derive value: substring(myString, find(myString, '@', true, 0) + 1, length(myString)

In the above, the addition of +1 to the second parameter is a nested expression and was not supported. Instead, you had to use multiple steps to generate the string value. 

Beginning in Release 5.1, the above single-step transform is supported.

Nested column references:

In addition to arithmetic expressions, you can nested column references. In the following example, the previous step has been modified to replace the static +1 with a reference to a column containing the appropriate value (at_sign_offset) : 

derive value: substring(myString, find(myString, '@', true, 0) + at_sign_offset, length(myString)

Nested function references:

Now, you can combine multiple function references into a single computation. The following computes the total volume of a cube of length side and then multiplies that volume by the number of cubes (cube_count) to compute the total cube_volume

derive type: single value: MULTIPLY(POW(cube_side,3),cube_count) as: 'cube_volume'

For more information, see Wrangle Language.

SOURCEROWNUMBER function generates null values consistently

The SOURCEROWNUMBER function returns the row number of the row as it appears in the original dataset. After some operations, such as unions, joins, and aggregations, this row information is no longer available.

In Release 5.0.1 and earlier, the results were confusing. When source row information was not available, the function was simply not available for use.

In Release 5.1 and later, the behavior of the SOURCEROWNUMBER function is more consistent:

For more information, see SOURCEROWNUMBER Function.

New Functions

Function NameDescription
ARRAYELEMENTAT FunctionReturns element value of input array for the provided index value.
DOUBLEMETAPHONE FunctionReturns primary and secondary phonetic spellings of an input string using the Double Metaphone algorithm.
DOUBLEMETAPHONEEQUALS FunctionReturns true if two strings match phonetic spellings using Double Metaphone algorithm. Tolerance threshold can be adjusted.
UNIQUE FunctionGenerates a new column containing an array of the unique values from a source column.

Release 5.0.1

RAND function generates true random numbers

In Release 5.0 and earlier, the RAND function produced the same set of random numbers within the browser, after browser refresh, and over subsequent runs of a job. 

In Release 5.0.1 and later, the RAND function accepts an optional integer as a parameter. When this new seed value is inserted, the function generates deterministic, pseudo-random values.

For more information, see RAND Function.

Release 5.0

Required type parameter

Prior to Release 5.0, the following was a valid  step:

derive value:colA + colB as:'colC'

Beginning in Release 5.0, the type parameter is required. This parameter defines whether the transform is a single or multi-row formula. In the Transform Builder, this value must be specified.

The following is valid in Release 5.0:

derive type:single value:colA + colB as:'colC'

See Derive Transform.

See Transform Builder.

Deprecated aggregate transform

In Release 4.2.1 and earlier, the aggregate transform could be used to aggregate your datasets using aggregation functions and groupings. 

In Release 5.0 and later, this transform has been merged into the pivot transform. The aggregate transform has been deprecated and is no longer available. 

NOTE: During upgrade to Release 5.0 and later, recipes that had previously used the aggregate transform are automatically migrated to use the pivot equivalent.

Example 1

Release 4.2.1 and earlier Aggregate:

aggregate value:AVERAGE(Scores)

Release 5.0 and later Pivot:

pivot value: AVERAGE(Score) limit: 1

The limit parameter defines the maximum number of columns that can be generated by the pivot.

Example 2


aggregate value:AVERAGE(Scores) group:studentId


pivot group: StudentId value: AVERAGE(Score) limit: 1

For more information, see Pivot Transform.

New search terms

In the new Search panel, you can search for terms that can be used to select transformations for quick population of parameters. In the following table, you can see  how terminology has changed in Release 5.0 for some common transforms from earlier release. 

Tip: You can paste the Release 5.0 terms in the Search panel to locate the same transformations used in earlier releases.

Release 4.2.1 and earlier transformsRelease 5.0 and later search terms


extract on:extractpatterns
extract at:extractpositions
extract before:extractbetweendelimiters
extract after:extractbetweendelimiters
replace on:replacepatterns
replace at:replacepositions
replace before:replacebetweenpatterns
replace after:replacebetweenpatterns
replace from:replacebetweenpatterns
replace to:replacebetweenpatterns
split on:splitpatterns
split delimiters:splitpositions
split every:splitpositions
split positions:splitpositions
split after:splitpatterns
split before:splitpatterns
split from:splitpatterns
split to:splitpatterns

Support for <> operator

Prior to Release 5.0, the following operator was used to test "not equal" comparisons:


Beginning in Release 5.0, the following operators is also supported:



derive value:IF ((col1 <> col2), 'different','equal') as:'testNotEqual'

Tip: Both of the above operators are supported, although the <> operator is preferred.

For more information, see Comparison Operators.

ROUND function takes optional number of digits

The ROUND function now supports rounding to a specified number of digits. By default, values are rounded to the nearest integer, as before. See ROUND Function.

New Functions

Function NameDescription
DEGREES FunctionGenerates the value in degrees for an input radians value.
EXACT FunctionCompares two strings to see if they are exact matches.
FILTEROBJECT FunctionFilters the keys and values from an Object based on specified keys.
HOST FunctionReturns the host value from a URL.
ISEVEN FunctionReturns true if an Integer, function returning an Integer, or a column contains an even value.
ISODD FunctionReturns true if an Integer, function returning an Integer, or a column contains an odd value.
KTHLARGESTUNIQUE FunctionComputes the kth-ranked unique value in a set of values.
LCM FunctionReturns the least common multiple between two input values.
MODE FunctionComputes the mode (most common) value for a set of values.
MODEIF FunctionComputes the mode based on a conditional test.
PAD FunctionPads the left or right side of a value with a specified character string.
PI FunctionGenerates the value for pi to 15 decimal places.
RADIANS FunctionGenerates the value in radians for an input degrees value.
RANDBETWEEN FunctionGenerates a random Integer in a range between two specified values.
RIGHTFIND Function Locates a substring by searching from the right side of an input value.
ROLLINGCOUNTA FunctionComputes count of non-null values across a rolling window within a column.
ROLLINGKTHLARGEST FunctionComputes the kth largest value across a rolling window within a column.
ROLLINGKTHLARGESTUNIQUE FunctionComputes the kth largest unique value across a rolling window within a column.
ROLLINGLIST FunctionComputes list of all values across a rolling window within a column.
ROLLINGMAX FunctionComputes maximum value across a rolling window within a column.
ROLLINGMIN FunctionComputes minimum value across a rolling window within a column.
ROLLINGMODE FunctionComputes mode (most common) value across a rolling window within a column.
ROLLINGSTDEV FunctionComputes standard deviation across a rolling window within a column.
ROLLINGVAR FunctionComputes variance across a rolling window within a column.
SIGN FunctionComputes the positive or negative sign of an input value.
TRUNC FunctionTruncates a value to the nearest integer or a specified number of digits.
URLPARAMS FunctionExtracts any query parameters from a URL into an Object.
WEEKNUM FunctionCalculates the week that the date appears during the year (1-52).

Release 4.2.1


Release 4.2

New Filter transform

Perform a variety of predefined row filtrations using the new filter transform, or apply your own custom formula to keep or delete rows from your dataset. 

New Case transform

Beginning in Release 4.2, you can use the Transform Builder to simplify the construction of CASE statements. For each case, specify the conditional and resulting expression in separate textboxes.

Rename transform now supports multi-column rename

Use the rename transform to rename multiple columns in a single transform. 

Drop specified columns or drop the others

The drop transform now supports the option of dropping all columns except the ones specified in the transform. See Drop Transform.

New string comparison functions

Compare two strings using Latin collation settings. See below.

NOW function returns 24-hour time values

In Release 4.1.1 and earlier, the NOW function returned time values for the specified time zone in 12-hour time, which was confusing.

In Release 4.2 and later, this function returns values in 24-hour time. 

New Transforms

Transform NameDocumentation
caseCase Transform
filterFilter Transform

New Functions

Function NameDocumentation