Skip to main content

KEYS Function

Extracts the key values from an Object data type column and stores them in an array of String values.

Wrangle vs. SQL: This function is part of Wrangle, a proprietary data transformation language. Wrangle is not SQL. For more information, see Wrangle Language.

Basic Usage

Column reference example:

keys('object1')

Output: Returns an array of all of the keys found in the key-value Objects found in the object1 column.

Syntax and Arguments

keys(obj_col)

Argument

Required?

Data Type

Description

obj_col

Y

String or Object

Name of column or Object literal whose keys are to be extracted into an array

For more information on syntax standards, see Language Documentation Syntax Notes.

obj_col

Object literal or name of the Object column whose keys you want to extract into an array.

Usage Notes:

Required?

Data Type

Example Value

Yes

Object literal or column reference

myObj

Examples

ヒント

For additional examples, see Common Tasks.

Example - Basic keys example

Source:

Following dataset contains configuration blocks for individual features. These example blocks are of Object type.

Code formatting has been applied to the Object data to improve legibility.

FeatureName

Configuration

Whiz Widget

{
 "enabled": "true",
 "maxRows": "1000",
 "maxCols": "100"
}

Magic Button

{
 "enabled": "false",
 "startDirectory": "/home",
 "maxDepth": "15"
}

Happy Path Finder

{
 "enabled": "true"
}

Transformation:

The following transformation extracts the key values from the Object data in the Configuration column.

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

keys(Configuration)

Parameter: New column name

'keys_Configuration'

Results:

The keys_Configuration column contains the arrays of the key values.

FeatureName

Configuration

keys_Configuration

Whiz Widget

{
 "enabled": "true",
 "maxRows": "1000",
 "maxCols": "100"
}
["enabled","maxRows","maxCols"]

Magic Button

{
 "enabled": "false",
 "startDirectory": "/home",
 "maxDepth": "15"
}
["enabled","startDirectory","maxDepth"]

Happy Path Finder

{
 "enabled": "true"
}
["enabled"]

Example - Create an Object of product properties

This example illustrates how to use the ARRAYSTOMAP and KEYS functions to convert values in Array or Object data type of key-value pairs.

Functions:

Item

Description

ARRAYSTOMAP Function

Combines one array containing keys and another array containing values into an Object of key-value pairs.

KEYS Function

Extracts the key values from an Object data type column and stores them in an array of String values.

Source:

Your dataset contains master product data with product properties stored in two arrays of keys and values.

ProdId

ProdCategory

ProdName

ProdKeys

ProdProperties

S001

Shirts

Crew Neck T-Shirt

["type", "color", "fabric", "sizes"]

["crew","blue","cotton","S,M,L","in stock","padded"]

S002

Shirts

V-Neck T-Shirt

["type", "color", "fabric", "sizes"]

["v-neck","white","blend","S,M,L,XL","in stock","discount - seasonal"]

S003

Shirts

Tanktop

["type", "color", "fabric", "sizes"]

["tank","red","mesh","XS,S,M","discount - clearance","in stock"]

S004

Shirts

Turtleneck

["type", "color", "fabric", "sizes"]

["turtle","black","cotton","M,L,XL","out of stock","padded"]

Transformation:

When the above data is loaded into the Transformer page, you might need to clean up the two array columns.

Using the following transform, you can map the first element of the first array as a key for the first element of the second, which is its value. You might notice that the number of keys and the number of values are not consistent. For the extra elements in the second array, the default key of ProdMiscProperties is used:

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

ARRAYSTOMAP(ProdProperties, ProdValues, 'ProdMiscProperties')

Parameter: New column name

'prodPropertyMap'

You can now use the following steps to generate a new version of the keys:

Transformation Name

Delete columns

Parameter: Columns

ProdKeys

Parameter: Action

Delete selected columns

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

KEYS(prodPropertyMap)

Parameter: New column name

'ProdKeys'

Results:

ProdId

ProdCategory

ProdName

ProdKeys

ProdProperties

prodPropertyMap

S001

Shirts

Crew Neck T-Shirt

["type", "color", "fabric", "sizes","ProdMiscProperties"]

["crew","blue","cotton","S,M,L","in stock","padded"]

{
  "type": [ "crew" ],
  "color": [ "blue" ],
  "fabric": [ "cotton" ],
  "sizes": [ "S,M,L" ],
  "ProdMiscProperties": [ "in stock", "padded" ] }

S002

Shirts

V-Neck T-Shirt

["type", "color", "fabric", "sizes","ProdMiscProperties"]

["v-neck","white","blend","S,M,L,XL","in stock","discount - seasonal"]

{
  "type": [ "v-neck" ],
  "color": [ "white" ],
  "fabric": [ "blend" ],
  "sizes": [ "S,M,L,XL" ],
  "ProdMiscProperties": [ "in stock", "discount - seasonal" ] }

S003

Shirts

Tanktop

["type", "color", "fabric", "sizes","ProdMiscProperties"]

["tank","red","mesh","XS,S,M","discount - clearance","in stock"]

{
  "type": [ "tank" ],
  "color": [ "red" ],
  "fabric": [ "mesh" ],
  "sizes": [ "XS,S,M" ],
  "ProdMiscProperties": [ "discount - clearance", "in stock" ] }

S004

Shirts

Turtleneck

["type", "color", "fabric", "sizes","ProdMiscProperties"]

["turtle","black","cotton","M,L,XL","out of stock","padded"]

{
  "type": [ "turtle" ],
  "color": [ "black" ],
  "fabric": [ "cotton" ],
  "sizes": [ "M,L,XL" ],
  "ProdMiscProperties": [ "out of stock", "padded" ] }