You can use the Job Details page to explore details about successful or failed jobs, including outputs, dependency graph, and other metadata. Download results to your local desktop or, if enabled, explore a visual profile of the data in the results for further iteration on your recipe.
Cancel job: Click this button to cancel your job while it is still in progress. This button may not appear until the queued job has been submitted to the running environment.
NOTE: This option may not be available for all running environments. Job cancellation is not supported in high availability deployments.
Delete job: Delete the job and its results.
Deleting a job cannot be undone.
Download profile as JSON: If visual profiling was enabled for the job, you can download a JSON representation of the profile to your desktop.
In the Overview tab, you can review the job status, its sources, and the details of the job run.
NOTE: If your job failed, you may be prompted with an error message indicating a job ID that differs from the listed one. This job ID refers to the sub-job that is part of the job listed in the Job summary.
You can review a snapshot of the results of your job.
The output data section displays a preview of the generated output of your job.
NOTE: This section is not displayed if the job fails.
You can also perform the following:
View: If it is present, you can click the View link to view the job results in the datastore where they were written.
NOTE: The View link may not be available for all jobs.
Download : If it is present, click the Download link to download the generated job results to your local desktop.
This panel provides information on the progress and completion status of each stage of the job execution.
If present, you can click the Show Warnings link to see any warnings pertaining to recipe errors, including the relevant step number.To review the recipe and dependencies in your job, click View steps and dependencies. See the Dependencies tab below.
You can also review the outputs generated as a result of your job. To review and export any of the generated results, click View all. See Outputs Destinations tab below.
Job ID: Unique identifier for the job
Queued:Job has been queued for execution.
Running:Job is in progress.
Completed: Job has successfully executed.
NOTE: Invalid steps in a recipe are skipped, and it's still possible for the job to be executed successfully.
Failed: Job failed to complete.
NOTE: You can re-run a failed job from the Transformer page. If you have since modified the recipe, those changes are applied during the second run. See Transformer Page.
Manual - Job was executed through the application interface.
User: The user who launched the job
Environment: Where applicable, the running environment where the job was executed is displayed.
Start time: Timestamp for when processing began on the job. This value may not correspond to when the job was queued for execution.
Finish time: Timestamp for when processing ended on the job, successful or not
Last update: Timestamp for when the job was last updated
Duration: Elapsed time of job execution
If the job has successfully completed, you can review the set of generated outputs and export results.
Output Destinations tab
For each output, you can do the following:
View details: View details about the generated output in the side bar.
Download result: Download the generated output to your local desktop.
NOTE: Some file formats may not be downloadable to your desktop. See below.
Create imported dataset: Use the generated output to create a new imported dataset for use in your flows. See below.
NOTE: This option is not available for all file formats.
Click one of the provided links to download the file through your browser to your local desktop.
NOTE: If these options are not available, data download may have been disabled by an administrator.
Optionally, you can turn your generated results into new datasets for immediate use in . For the generated output, select Create imported dataset from its context menu.
NOTE: When you create a new dataset from your job results, the file or files that were written to the designated output location are used as the source. Depending on your backend datastore permissions are configured, this location may not be accessible to other users.
After the new output has been written, you can create new recipes from it. See Build Sequence of Datasets.
Review the visual profile of your generated results in the Profile tab. Visual profiling can assist in identifying issues in your dataset that require further attention, including outlier values.
NOTE: This tab appears only if you selected to profile results in your job definition. See Run Job Page.
Download as PDF: Download your visual profile and results of your data quality rules on the entire dataset as a PDF file. For more information, see Overview of Data Quality.
Download as JSON: Download your visual profile as a JSON file.
In particular, you should pay attention to the mismatched values and missing values counts, which identify the approximate percentage of affected values across the entire dataset. For more information, see Overview of Visual Profiling.
NOTE: The computational cost of generating exact visual profiling measurements on large datasets in interactive visual profiles severely impacts performance. As a result, visual profiles across an entire dataset represent statistically significant approximations.
NOTE: treats null values as missing values. Imported values that are null are generated as missing values in job results (represented in the gray bar). See Manage Null Values.
Tip: Mouse over the color bars to see counts of values in the category.
Tip: Use the horizontal scroll bar to see profiles of all columns in wide datasets.
In the lower section, you can explore details of the transformations of individual columns. Use this area to explore mismatched or missing data elements in individual columns.
Depending on the data type of the column, varying information is displayed. For more information, see Column Statistics Reference.
Tip: You should review the type information for each column, which is indicated by the icon to the left of the column.
In this tab, you can review a simplified representation of the flow from which the job was executed. This flow view displays only the recipes and datasets that contributed to the generated results.
Tip: To open the full flow, you can click its name in the upper-left corner.
Dependency graph tab
You can zoom the dependency graph canvas to display areas of interest in the flow graph.
The zoom control options are available at the top-right corner of the dependency graph canvas. The following are the available zoom options:
Tip: You can use the keyboard shortcuts listed in the zoom options menu to make quick adjustments to the zoom level.
Zoom in: Zoom in 10% on the canvas to focus on greater detail.
Zoom out: Zoom out 10% from the canvas to see more of it.
Zoom to fit: Change the zoom level to fit all of the objects of your flow onto the screen.
25%, 50%, or 100%: Change the zoom level to one of the preset levels.
Download recipe: Download the text of the recipe in .
Display /natural language: Toggle display of the recipe in raw language or in readable language.
You can select only recipes in the flow graph.
Context controls and menus are not available.