- Gather a new sample. In some cases, jobs can fail when run at scale because the sample displayed in the Transformer page did not include problematic data. If you have modified the number of rows or columns in your dataset, you can generate a new sample, which might illuminate the problematic data. However, gathering a new sample may fail as well, which can indicate a broader problem. See Samples Panel.
Download Error Report
When a job fails, you can download an error report, which can be useful for diagnosing issues:
Tip: If you are filing a request with
- Login to the
as an admin or the user who created the job.
D s webapp
- Click the Jobs link in the left navigation bar.
- In the Jobs page, click the identifier for the job that failed.
- In the Overview tab, review the Failed Stages entry or entries.
- To acquire the error report, click Download error report. Review and forward the report as needed.
For each job in the failing job group, the error report contains:
The internal job identifier within the workspace where the error occurred. This value matches the job ID that is displayed in the
The identifier of the workspace where the error occurred
The ID for the specific job in the job group. These jobs can include sampling, profiling, transformation, writing results, ingesting data, and more.
|The internal identifier of the user within the workspace|
The status of the job, such as "Failed", "Completed", "Pending".
|errorMessageId||The ID of the error message that is shown in the UI.|
|errorTimestamp||Timestamp of the job failure. Not included if no error occurs for the job.|
|uiErrorMessage||Error message that is shown in the job UI. Not included if no error occurs for the job.|
If you are unable to diagnose your job failure, please contact
|D s support|