Editing and testing data transformations

Editing transformations

Refer to the pages listed below for more information on editing data transformations.

• Structure of transformations

• Designing an event log

• Tips for writing SQL

Running the queries

Attention:

Run all is limited to one hour. Therefore, it is strongly recommended to use a small dataset for the development and testing of data transformations, to make sure your transformations do not exceed this time limit. See also: Process Mining portal.

When you are editing transformations, you can select Run all to test your changes and see a preview. It runs the queries that were modified queries and all related queries. For example, if cases_input.sql has been modified. The Run all command would run cases_input.sql and cases.sql, which uses the results of cases_input.sql.

The resulting data will only be available in the Data Transformations editor, not in the dashboard editor.

There are two types of runs:

• Run all: starts a data run, recalculating all modified queries, and their dependencies.

• Run file: starts a run to recalculate only the currently selected SQL file and its parent queries. This option enables you to test and debug customizations to specific SQL files.

Tip:

You can select Cancel run at any time to cancel the transformations run.

The results are displayed in the Preview panel.

Note:

Run all is typically much faster than Apply to dashboards which starts a full data run.

Note:

Run all does not affect the data in the published process app.

Adding folders and files

You can create new folders and add new files in your transformations.

Naming conventions

• For names of files, folders, fields, and tables:

  • you can only use lowercase (a-z) characters, uppercase (A-Z) characters, and numbers (0-9);

  • you cannot use special characters |*:?"<>\/ for names of files, folders, fields, and tables.
• For file names, you can only use _:. as special characters.
• A file name cannot start with an _ (underscore).

Creating a new folder or file from the transformations menu

Follow these steps to create new folder or file.

Steps	Action
1	Navigate to the location in the transformations where you want to add a new file or folder.
2	Go to the Transformations panel and select the menu icon to open the transformations menu.
3	Select the applicable option from the menu.
4	Enter a descriptive name for the new folder or file and select Enter.

The new folder or file is created in the selected folder.

Creating a new folder or file from the context menu

Follow these steps to create new folder or file from the context menu.

Steps	Action
1	Right-click on the folder in the transformations where you want to add a new file or folder.
2	Select the applicable option from the menu.
3	Enter a descriptive name for the new folder or file and select Enter.

The new folder or file is created in the selected folder.

Unsaved changes in files

When you edit a .sql file it is indicated in the Transformations folder structure that there are unsaved changes.

In the above example there are unsaved changes in the Tags.sql file that is in the models -> 5_business_logic folder.

Renaming a folder or file

Follow these steps to create new folder or file.

Steps	Action
1	Right-click on the folder or file you want to rename to open the context menu.
2	Select Rename.
3	Edit the name as desired and select Enter.

The folder or file is renamed.

Deleting a folder or file

Follow these steps to create new folder or file.

Steps	Action
1	Right-click on the folder or file you want to delete to open the context menu.
2	Select Delete. A confirmation message is displayed.
3	Select Delete to confirm the deletion.

The folder or file is deleted.

Adding comments in files

If you want to include comments in your SQL transformations files, or comment-out parts of the file, it is strongly recommended to use the Jinja comment syntax which is by default set to {# ... #}. This also enables you to comment macros.

SQL

{# {{ pm_utils.optional(ref('Cases_base'), '"Case_status"') }} as "Case_status", #}

{# case
    when {{ pm_utils.optional(ref('Cases_base'), '"Case_value"', 'double') }} >= 1000000 
      then {{ pm_utils.as_varchar('>= 1M') }}
    when {{ pm_utils.optional(ref('Cases_base'), '"Case_value"', 'double') }} >= 0 
     then {{ pm_utils.as_varchar('0 - 1M') }}
   when {{ pm_utils.optional(ref('Cases_base'), '"Case_value"', 'double') }} is not null
     then {{ pm_utils.as_varchar('< 0') }}
  end as "Case_value_group", #}

Find / replace in files

In the Data Transformations editor, you can find and replace texts inside a single file.

Find text

To find a text in the data transformation editor:

1. Click on a random place in the code editor, or select the text you want to search for other occurrences.

2. Press CTRL+F.

3. Enter the test you want to search for in the Find field.

   All occurrences of the text in the current file are highlighted.

4. Select ENTER to skip to the next occurrence.

Find and replace

To find a text in the data transformation editor:

1. Click on a random place in the code editor, or select the text you want to search for other occurrences.

2. Press CTRL+H.

3. Enter the test you want to search for Find field and enter the new test in the Replace field.

   All occurrences of the text in the current file are highlighted.

4. Select ENTER to replace the text and skip to the next occurrence.

To find a text in the data transformation editor:

1. Click on the code editor.

2. Press CTRL+H.

3. Enter the test you want to search for Find field and enter the new test in the Replace field.

   All occurrences of the text in the current file are highlighted.

4. Press Crtl+Alt+Enter.

Tip:

You can also use the Replace or Replace all icons.

Find/replace in multiple files

If you want to Find/replace texts in multiple files, you can only do this in an external editor.

Follow these steps to Find/replace texts in multiple files:

1. Export transformations from your process app.

2. Unzip the transformations.

3. Open the transformations in your favorite code editor, for example, Notepad++, or Visual Studio Code.

4. Use the functionality of those tools to find or replace texts in multiple files.

5. Save the files.

6. Add the transformation files to a .zip file.

7. Import the transformations in your process app.

Note:

When you are asked which data to use for a data run, select Cancel if you want to continue editing transformations before doing a new data run.

Editing dbt project configuration files

You can also open dbt project configuration files in the Data Transformations editor, for example dbt_project.yml.

Warning:

It is strongly advised to only edit the vars section, if required. The other parts of the dbt_project.yml should not be changed to ensure the transformations keep working properly.

For detailed information on dbt, see the official dbt documentation.

Making the transformations available in dashboards

To make the changes available in the dashboards, you must execute a full data run to load the data and run the transformations. Select the Apply to dashboards button to start a data run.

Note:

Depending on the size of your dataset, this make take some time.

After a successful data run, the new transformations become available in the dashboard editor and can be used to adjust the dashboards.