Contents:
Contents:
true if the rightmost set of characters of a column of values matches a pattern. The source value can be any data type, and the pattern can be a Pattern , regular expression, or a string.- The
ENDSWITHfunction is ideal for matching based on patterns for any data type. If you need to match strings using a fixed number of characters, you should use theRIGHTfunction instead. See RIGHT Function. - See STARTSWITH Function.
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
String literal example:
endswith(tweets,'?')
Output: Returns true if last letter of the tweets column value is "?".
Pattern example:
endswith(tweets,`{hashtag}{1,9}`)
Output: Returns true if the tweets column ends with 1-9 hashtag values. Otherwise, the returned value is false.
Regular expression example:
if(endswith,myNum,/([01][0-9][0-9]|2[0-4][0-9]|25[0-5])/),'myNum - valid','myNum - error')
Output: Returns myNum - valid if the value of the myNum column ends with a value between 0-255. Otherwise, myNum - error is returned.
Syntax and Arguments
endswith(column_any,pattern<span>[,ignore_case]</span>)
| Argument | Required? | Data Type | Description |
|---|---|---|---|
| column_any | Y | any | Name of the column to be applied to the function |
| pattern | Y | string | Pattern or literal expressed as a string describing the pattern to which to match. |
| ignore_case | N | string | When true, matching is case-insensitive. Default is false. |
For more information on syntax standards, see Language Documentation Syntax Notes.
column_any
Name of the column to be searched.
- Multiple columns and wildcards are not supported.
Usage Notes:
| Required? | Data Type | Example Value |
|---|---|---|
| Yes | Column reference | myColumn |
pattern
Dataprep by Trifacta pattern, regular expression, or string literal to locate in the values in the specified column.
Usage Notes:
| Required? | Data Type | Example Value |
|---|---|---|
| Yes | String | `{zip}` |
ignore_case
When true, matches are case-insensitive. Default is false.
NOTE: This argument is not required. By default, matches are case-sensitive.
Usage Notes:
| Required? | Data Type | Example Value |
|---|---|---|
| No | String value | 'false'
|
Tip: For additional examples, see Common Tasks.
Examples
Example - STARTSWITH and ENDSWITH Functions
Functions:
| Item | Description |
|---|---|
| STARTSWITH Function |
Returns true if the leftmost set of characters of a column of values matches a pattern. The source value can be any data type, and the pattern can be a Pattern , regular expression, or a string.
|
| ENDSWITH Function |
Returns true if the rightmost set of characters of a column of values matches a pattern. The source value can be any data type, and the pattern can be a Pattern , regular expression, or a string.
|
Source:
The following inventory report indicates available quantities of product by product name. You need to verify that the product names are valid according to the following rules:
- A product name must begin with a three-digit numeric brand identifier, followed by a dash.
- A product name must end with a dash, followed by a six-digit numeric SKU.
Source data looks like the following, with the Validation column having no values in it.
| InvDate | ProductName | Qty | Validation |
|---|---|---|---|
| 04/21/2017 | 412-Widgets-012345 | 23 | |
| 04/21/2017 | 04-Fidgets-120341 | 66 | |
| 04/21/2017 | 204-Midgets-4421 | 31 | |
| 04/21/2017 | 593-Gidgets-402012 | 24 |
Transformation:
In this case, you must evaluate the ProductName column for two conditions. These conditional functions are the following:
IF(STARTSWITH(ProductName, `#{3}-`), 'Ok', 'Bad ProductName-Brand')
IF(ENDSWITH(ProductName, `-#{6}`), 'Ok', 'Bad ProductName-SKU')
One approach is to create two new test columns and then edit the column based on the evaluation of these two columns. However, using the following, you can compress the evaluation into a single step without creating the intermediate columns:
| Transformation Name | Edit column with formula |
|---|---|
| Parameter: Columns | Status |
| Parameter: Formula | IF(STARTSWITH(ProductName, `#{3}-`), IF(ENDSWITH(ProductName, `-#{6}`), 'Ok', 'Bad ProductName-SKU'), 'Bad ProductName-Brand') |
Results:
| InvDate | ProductName | Qty | Validation |
|---|---|---|---|
| 04/21/2017 | 412-Widgets-012345 | 23 | Ok |
| 04/21/2017 | 04-Fidgets-120341 | 66 | Bad ProductName-Brand |
| 04/21/2017 | 204-Midgets-4421 | 31 | Bad ProductName-SKU |
| 04/21/2017 | 593-Gidgets-402012 | 24 | Ok |
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