Contents:
An array is a bracket set of comma-delimited values. The following are valid arrays:
[1,2,3] ["A","B"] ["C",["D","E"],"F",["G",["H","I"]]]
Ragged arrays: If the number of elements varies between two arrays, they are considered ragged. In the above, all three arrays have a different number of top-level elements (3,2,4).
Nested arrays: When an array element is an array itself, the element is considered a nested array. See the last example above.
Source Arrays
To be recognized as an array, a source column must contain values that are:
- Bracketed by square brackets
- Values in cell are delimited by commas
Such columns are likely to be recognized as Array data type.
For more information, see Array Data Type.
Create Arrays
Within Trifacta® Wrangler, you can generate arrays using values from one or more columns to do so.
Create by extraction
You can create an array of values by extracting pattern-based values from a specified column. The following transformation extracts from the msg
column a list of all values where all letters are capitalized and places them into the new acronyms
column:
Transformation Name | Extract matches into Array |
---|---|
Parameter: Column | msg |
Parameter: Pattern matching elements in the list | `{upper}+` |
Parameter: New column name | acronyms |
msg | acronyms |
---|---|
SCUBA, IMHO, is the greatest sport in the world. | ["SCUBA","IMHO"] |
[] | |
LOL, that assignment you finished is DOA. You need to fix it PDQ. | ["LOL","DOA","Y","PDQ"] |
Notes:
- An empty input column value renders an empty array.
In the final row, the Trifacta pattern matches on the
"Y"
value. To fix this, you can change the Pattern matching value to the following, which matches on two or more uppercase letters in a row:`{upper}{upper}+`
Create by nesting
You can create arrays by nesting together the values from multiple columns.
Source:
num1 | num2 | num3 |
---|---|---|
11 | 12 | 13 |
14 | 15 | 16 |
17 | 18 | 19 |
You want to nest the values in num1
and num2
into a single array and then to nest the array with num3
:
NOTE: If you are nesting a multi-level array, you should nest from the lowest level to the top level.
Transformation Name | Nest columns into Objects |
---|---|
Parameter: Columns1 | num1 |
Parameter: Columns2 | num2 |
Parameter: Nest columns to | Array |
Parameter: New column name | nest1 |
Then, you can perform the nesting of the top-level elements:
NOTE: The order in which you list the columns to nest determines the order in which the elements appear in the generated array.
Transformation Name | Nest columns into Objects |
---|---|
Parameter: Columns1 | nest1 |
Parameter: Columns2 | num3 |
Parameter: Nest columns to | Array |
Parameter: New column name | nest2 |
In the generated columns, you notice that all values are quoted, even though these values are integers.
NOTE: Elements that are generated into arrays using a nest transformation are always rendered as quoted values.
You can use the following transformation to remove the quotes from the nest2
column:
Transformation Name | Replace text or patterns |
---|---|
Parameter: Column | nest2 |
Parameter: Find | '"' |
Parameter: Replace | (empty) |
Parameter: Match all occurrences | true |
After removing the unused nest1
column, the data looks like the following:
num1 | num2 | num3 | nest2 |
---|---|---|---|
11 | 12 | 13 | [[11,12],13] |
14 | 15 | 16 | [[14,15],16] |
17 | 18 | 19 | [[17,18],19] |
Create from column values
You can use one of several available functions to create arrays from a column's values.
Source:
listVals |
---|
5 |
TRUE |
{"key1":"value1","keys2":"value2"} |
[1,2,3] |
My String |
-5.5 |
The following transformation generates a new column in which each row contains an array of all of the values of the input column:
Transformation Name | New formula |
---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | LIST(listVals,1000) |
Parameter: New column name | listOfListVals |
Results:
listVals | listOfListVals |
---|---|
5 | ["5","TRUE","{\"key1\":\"value1\",\"keys2\":\"value2\"}","[1,2,3]","My String","-5.5"] |
TRUE | ["5","TRUE","{\"key1\":\"value1\",\"keys2\":\"value2\"}","[1,2,3]","My String","-5.5"] |
{"key1":"value1","keys2":"value2"} | ["5","TRUE","{\"key1\":\"value1\",\"keys2\":\"value2\"}","[1,2,3]","My String","-5.5"] |
[1,2,3] | ["5","TRUE","{\"key1\":\"value1\",\"keys2\":\"value2\"}","[1,2,3]","My String","-5.5"] |
My String | ["5","TRUE","{\"key1\":\"value1\",\"keys2\":\"value2\"}","[1,2,3]","My String","-5.5"] |
-5.5 | ["5","TRUE","{\"key1\":\"value1\",\"keys2\":\"value2\"}","[1,2,3]","My String","-5.5"] |
Notes:
- The second parameter on the LIST function defines the maximum number of values to write.
1000
is the default. - All values in the generated array are written as String values.
- Quoted values are escaped in the output.
The following functions allow you to generate various types of arrays from a column's set of values.
Function | Description |
---|---|
LIST Function | Extracts the set of values from a column into an array stored in a new column. This function is typically part of an aggregation. |
UNIQUE Function | Extracts the set of unique values from a column into an array stored in a new column. This function is typically part of an aggregation. |
LISTIF Function | Returns list of all values in a column for rows that match a specified condition. |
ROLLINGLIST Function | Computes the rolling list of values forward or backward of the current row within the specified column and returns an array of these values. |
RANGE Function | Computes an array of integers, from a beginning integer to an end (stop) integer, stepping by a third parameter. NOTE: The lower bound of the range is included, while the upper bound is not. |
Tip: Additional examples are available in the above links for these functions.
Create from Object type
You can extract the keys of an Object column into an array of string values. In an Object type, the values are listed in quoted key/value pairs and can be nested. See Object Data Type.
Source:
Suppose your Object data looks like the following:
myObject |
---|
{"key1":"value1","key2":"value2","key3":"value3"} |
{"apples":"2","oranges":"4"} |
{"planes":{"boeing":"5","airbus":"4"},"trains":{"amtrak":"1","SP":"2"}, "automobiles":{"toyota":"100","nissan":"50"}} |
You can run the following transformation to extract the top-level keys into arrays in a new named column:
NOTE: The KEYS function retrieves only the top-level keys from the Object.
Transformation Name | New formula |
---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | KEYS(myObject) |
Parameter: New column name | myObjectKeys |
Results:
myObject | myObjectKeys |
---|---|
{"key1":"value1","key2":"value2","key3":"value3"} | ["key1","key2","key3"] |
{"apples":"2","oranges":"4"} | ["apples","oranges"] |
{"planes":{"boeing":"5","airbus":"4"},"trains":{"amtrak":"1","SP":"2"}, "automobiles":{"toyota":"100","nissan":"50"}} | ["planes","trains","automobiles"] |
For more information, see KEYS Function.
Read from Arrays
You can read values from arrays in your dataset.
NOTE: After an array has been created, you can append to the array or otherwise combine it with another array. You cannot replace values in the array without breaking apart the array and rebuilding it.
Function | Description |
---|---|
IN Function |
Returns |
ARRAYELEMENTAT Function | Computes the 0-based index value for an array element in the specified column, array literal, or function that returns an array. |
ARRAYLEN Function | Computes the number of elements in the arrays in the specified column, array literal, or function that returns an array. |
ARRAYUNIQUE Function | Generates an array of all unique elements among one or more arrays. |
Tip: Additional examples are available in the above links for these functions.
Compute from Arrays
You can use the following functions to perform computations on the values in your arrays:
Function | Description |
---|---|
LISTSUM Function | Computes the sum of all numeric values found in input array. Input can be an array literal, a column of arrays, or a function returning an array. Input values must be of Integer or Decimal type. |
LISTMAX Function | Computes the maximum of all numeric values found in input array. Input can be an array literal, a column of arrays, or a function returning an array. Input values must be of Integer or Decimal type. |
LISTMIN Function | Computes the minimum of all numeric values found in input array. Input can be an array literal, a column of arrays, or a function returning an array. Input values must be of Integer or Decimal type. |
LISTAVERAGE Function | Computes the average of all numeric values found in input array. Input can be an array literal, a column of arrays, or a function returning an array. Input values must be of Integer or Decimal type. |
LISTVAR Function | Computes the variance of all numeric values found in input array. Input can be an array literal, a column of arrays, or a function returning an array. Input values must be of Integer or Decimal type. |
LISTSTDEV Function | Computes the standard deviation of all numeric values found in input array. Input can be an array literal, a column of arrays, or a function returning an array. Input values must be of Integer or Decimal type. |
LISTMODE Function | Computes the most common value of all numeric values found in input array. Input can be an array literal, a column of arrays, or a function returning an array. Input values must be of Integer or Decimal type. |
Combine Arrays
You can combine arrays together using a variety of methods of combining.
Source:
array1 | array2 |
---|---|
["1","2","3"] | ["A","B","C"] |
["4","5","6"] | ["D","E","F"] |
["7","8","9"] | ["G","H","I"] |
The following transformation concatenates the above arrays into a single single array:
Transformation Name | New formula |
---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | ARRAYCONCAT([array1,array2]) |
Parameter: New column name | arrayConcat |
Results:
array1 | array2 | arrayConcat |
---|---|---|
["1","2","3"] | ["A","B","C"] | ["1","2","3","A","B","C"] |
["4","5","6"] | ["D","E","F"] | ["4","5","6","D","E","F"] |
["7","8","9"] | ["G","H","I"] | ["7","8","9","G","H","I"] |
These functions can be used to combine arrays together:
Function | Description |
---|---|
ARRAYCONCAT Function | Combines the elements of one array with another, listing all elements of the first array before listing all elements of the second array. |
ARRAYCROSS Function | Generates a nested array containing the cross-product of all elements in two or more arrays. |
ARRAYINTERSECT Function | Generates an array containing all elements that appear in multiple input arrays, referenced as column names or array literals. |
ARRAYSTOMAP Function | Combines one array containing keys and another array containing values into an Object of key-value pairs. |
ARRAYZIP Function | Combines multiple arrays into a single nested array, with element 1 of array 1 paired with element 2 of array 2 and so on. Arrays are expressed as column names or as array literals. |
Tip: Additional examples are available in the above links for these functions.
Break out Arrays
Expand arrays into rows
You can break out arrays into individual values using the following transformations. Here is some example data from the nest2
column that was generated earlier. The num3
column is retained for reference:
num3 | nest2 |
---|---|
13 | [[11,12],13] |
16 | [[14,15],16] |
19 | [[17,18],19] |
You can use the following simple transformation to flatten the values in nest2
into individual values in each row:
NOTE: Depending on the number of elements in your arrays, you can significantly increase the size of your dataset.
NOTE: If a cell in the source column does not contain an array, an empty value is written into the corresponding row.
Transformation Name | Expand Array to rows |
---|---|
Parameter: column | nest2 |
Results:
num3 | nest2 |
---|---|
13 | [11,12] |
13 | 13 |
16 | [14,15] |
16 | 16 |
19 | [17,18] |
19 | 19 |
NOTE: Converting a column of arrays to rows unpacks the top level of the array only. You may have to apply this transformation multiple times.
Unnest array elements into columns
You can break out individual elements of an array into separate columns.
NOTE: Each element that you want broken out into a column must be listed on a separate line in Path to elements.
Source:
arrayNested |
---|
["A",["B","C"],"D"] |
["H",["I","J",["K","L"]]] |
["E","F","G"] |
The following transform retrieves the second and third elements of each array:
Transformation Name | Unnest Objects into columns |
---|---|
Parameter: Column | arrayNested |
Parameter: Paths to elements1 | [1] |
Parameter: Paths to elements2 | [2] |
Parameter: Include original column name | true |
This one retrieves the first element of the array that is nested as the second element of the array:
Transformation Name | Unnest Objects into columns |
---|---|
Parameter: Column | arrayNested |
Parameter: Paths to elements1 | [1][0] |
Parameter: Include original column name | true |
The resulting data should look like the following:
arrayNested | arrayNested_1 | arrayNested_2 |
---|---|---|
["A",["B","C"],"D"] | ["B","C"] | B |
["H",["I","J",["K","L"]]] | ["I","J",["K","L"]] | I |
["E","F","G"] | F |
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