In , you use the Job Details page to explore details about successful or failed jobs, including outputs, dependencies, 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.
Download logs: Download the log files associated with this job.
Export dependencies as a flow: Download the executing recipe and all dependencies of it as a self-contained flow.
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.
You can also review the outputs generated as a result of your job.
Job ID: Unique identifier for the job
Tip: If you are using the REST APIs, this value can be used to retrieve and modify specifics related to this job. For more information, see API Reference.
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.
Canceled: Job was canceled by user.
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.
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:
Download result: Download the generated output to your local desktop.
NOTE: Some file formats may not be downloadable to your desktop. See below.
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.
TDE: You can download TDE formatted outputs to your desktop.
If you have generated output in TDE format and have configured a connection toTableauServer, you can publish directly to the server. See Publishing Dialog.
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: If you generated results in Parquet format only, you cannot create a dataset from it, even if the Create button is present. This is a known issue.
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.
If is connected to an external storage system, you may publish your job results to it. Requirements:
For more information, see Publishing Dialog.
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.
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.
Download recipe: Download the text of the recipe in .
Display /natural language: Toggle display of the recipe in raw language or in readable language.
In the Data sources tab, you can review all of the sources of data for the executing recipe.
Data sources tab
NOTE: If a flow is unshared with you, you cannot see or access the datasources for any jobs that you have already run on the flow. You can still access the job results. This is a known issue.
If your imported dataset is a dataset with parameters, you can review the state of the parameters at the time of job execution.
NOTE: This tab appears only if the job is sourced from a dataset with parameters. For more information, see Create Dataset with Parameters.
A dataset with parameters enables you to parameterize input sources into a single imported dataset. For more information, see Overview of Parameterization.