Tasks are the data transformations offered by Mammoth. A Task adds a layer of change on top of the original Dataset. Each new Task then adds a new layer on the previous state, and so on.
A record of all Tasks is stored as a list in the Pipeline. Each Task in the Pipeline runs sequentially and can be paused by turning off auto-sync. (in the Sync Settings in the Preview Panel). You can partially re-run the Pipeline if any Task is edited or discarded.
A Task can be added using the Data Preparation menu. Clicking on a Task opens a Task Panel where you can provide the inputs for the Task, be that a condition, calculation, join, etc.(See Tasks for m ore information about Tasks.). Once a Task is added, all the data is refreshed to reflect the changes and a new entry for the Task is added to the Pipeline.
Any Task can be edited in the Pipeline by clicking on the Modify option in the menu at the top right corner of the Task.
Remove a Task by clicking the delete option in the menu at the top right corner of the Task. It will display a prompt for you to confirm because a deleted Task cannot be recovered.
Errors in Pipeline¶
The Pipeline in a View can have Tasks that create new columns. These columns may be used in subsequent Tasks in the Pipeline. If your edit changes the column type or it is removed altogether, subsequent Tasks using these columns will go into error and the Pipeline will not work.
Also, a Dataset may change when a column is removed or its type is changed. Any Tasks using such columns in any View of the Dataset will then be in error.
Changes due to Errors in Pipeline¶
Restrictions due to Errors in Pipeline¶
As shown above, in Fig. 120, Error(s) will disable various features for a specific View, such as:
Column browser, Metric Explore Panel, Explore Cards, Alerts, Export, CSV links.
Renaming, duplicating, or saving a View as a template.
All export Tasks, Crosstab, and Branch out to Dataset.
Fixing Errors in Pipeline¶
When an error occurs, you have two options - Fix or Delete:
Sometimes fixing errors in one Task may create a cascade of new errors elsewhere. If this feels messier, It may be wise to make a fresh start by using the “Discard Changes” option at the bottom of the Pipeline to return it to its original state.