Category: Import / File
This action imports text files with columns of fixed width. The width and name of every column have to be defined explicitly in the transformation properties.
Use the preview pane (click the Show preview button) to visually split the text into columns. Click a character in the preview to create a splitter. Drag a column splitter left or right to adjust the column width.
Show preview: Preview the raw and imported versions of the dataset using the Show preview button at the top of the action settings window.
Use the Import fixed width text file action when you have text-based data in which the fields are defined by positioning (spaces, tabs, etc.) rather than delimiting characters and you need to import them into columns.
If your data has delimiters, use the Import delimited text file action, instead. If your data is consolidated in a single field, and spacing between values is inconsistent, use the Import plain text action to read it in and use other actions to parse the individual values into columns.
Setting | Description |
---|---|
Load file* | Fully-qualified file name of the dataset (includes relative or absolute path). |
Encoding | ASCII, ANSI (with code page), and other types of encoding. If you're not sure what to choose, try UTF-8 as it's the most common Unicode encoding. |
First loaded line contains headers | Check this "on" if the first line of data contains the field names (headers). If unchecked, columns are given generic "column" names unless user-assigned names are provided in the New columns section. see below. |
New columns | Refer to the table below for new column settings. |
Put remaining symbols into column | Check "on" to capture any characters falling outside the final column's defined width. NOTE: If the First loaded line contains headers is checked "on", this column will be named "Remainder" by default. Otherwise, the user can provide the name for this column. |
* Setting can be specified using a parameter.
Setting | Description |
---|---|
Add more columns | This button will open a list where the columns in the imported file can be explicitly defined by Name and Width. NOTE: Changes made here can be viewed in the preview pane by clicking the Show preview button at the top. |
Name | The names to be assigned to the incoming columns. |
Width | The size, in characters, of the column. Characters that extend past the width of the final column are dropped unless the Put remaining symbols into column option is used. See above. |
Setting | Description |
---|---|
Decimal separator | Select whether decimal points are represented by a point (.) or comma (,). |
Thousand separator | Select what character thousands places are represented by. Options: Default, Comma, Point, or Space. |
Skip first lines | Defines the number of rows in the incoming dataset to skip before importing data. Use this in cases where leading rows may contain blank rows or metadata not to be included in the dataset. |
Maximum number of lines to load | The maximum number of rows to be imported. Use "0" to read in all ("unlimited") rows. |
Treat numeric values | Select how EasyMorph should handle numeric values. Options: Always as numbers or Always as text. |
This action can import multiple files. See Importing Multiple Files for more information.
Example 1: You are importing data from a legacy system containing name/address data with the following parameters:
Input dataset:
Name Address City STZip John Hardy 111 Any Street Boston MA02110 Amanda Smythe 16 East Valley Lane Hanover MD21076 Rick Johanssen 14 Sunset Ave, Apt 16B Delaware City DE19706
Action parameters:
Column settings: Set these in the preview pane or enter them under New columns.
Column 1 Name is "Name" and the Width is 20
Column 2 Name is "Address" and the Width is 30
Column 3 Name is "City", and the Width is 15
Column 4 Name is "ST", and the Width is 2
Column 5 Name is "Zip", and the Width is 5
First loaded line contains headers (checked)
For safety, we will add a column to capture overflow characters:
Put remaining symbols into column (checked) This column will be named "Remainder" by default.
Result table:
Name | Address | City | ST | Zip |
---|---|---|---|---|
John Hardy | 111 Any Street | Boston | MA | 02110 |
Amanda Smythe | 16 East Valley Lane | Hanover | MD | 21076 |
Rick Johanssen | 14 Sunset Ave, Apt 16B | Delaware City | DE | 19706 |
Example 2: You are presented with survey data that has been captured incorrectly - all values have been compressed into a single field:
Input dataset:
12345 14324 11232 45455 34234 55234
Action parameters:
To expand these response values into their appropriate columns, use the following settings:
Column settings: Set these in the preview pane or enter them under New columns.
Column 1 Name is "1", and the Width is 1
Column 2 Name is "2", and the Width is 1
Column 3 Name is "3", and the Width is 1
Column 4 Name is "4", and the Width is 1
Column 5 Name is "5", and the Width is 1
Result table:
1 | 2 | 3 | 4 | 5 |
---|---|---|---|---|
1 | 4 | 3 | 2 | 4 |
1 | 1 | 2 | 3 | 2 |
4 | 5 | 4 | 5 | 5 |
3 | 4 | 2 | 3 | 4 |
5 | 5 | 2 | 3 | 4 |
In this case, you could also have used the Import plain text action to read the entire field into a single cell and parse it into separate columns later in the workflow.
Fast ways to create the action: