Jobs

The Jobs room allows you to monitor, trigger, schedule, troubleshoot, and preview data loads that are run within Visier. In the Jobs room, parent jobs and their child jobs are grouped together. Parent jobs and child jobs are the series of jobs that run sequentially to generate a data version. The first job to run is the "parent" job and the jobs that run after the parent job are "children" of the parent job. For example, if a receiving job spawned 10 processing jobs and an extraction job spawned 3 processing jobs, the Jobs room will show 2 jobs: the receiving job and the extraction job. You can drill down into those jobs to see more information about their child jobs.

To access the Jobs room, open a project and click Data > Jobs.

The Jobs room contains the following tabs:

• Status: Review information about your jobs.
• Schedule: Schedule a new job. For more information, see Schedule a Job.

The following table describes what the columns in Jobs or Jobs > Status represent.

Column	Description
Actions	The actions you can perform on the job, such as cancelling or retrying the job.
Blueprint Version	The base content upon which the job is based.
Child Statuses	The count of succeeded, failed, pending, or running children jobs associated with a parent job. The count is represented as color-coded notes with a number inside to indicate the number of children jobs.
Data Origin	Where the data originated from, such as an upload or API request.
Data Source Type	The general source of the data, such as customer data.
Job Configuration	Denotes if the job is part of the production version or a project.
Job ID	The unique identifier of the job.
Job Source	Indicates how the job was initiated. There are two job sources: Ad-hoc Job: A job manually started in Visier. API Triggered Job: A job initiated through a Visier API.
Job Type	The type of job that was triggered. Extraction Jobs deal with the retrieval of data from a source system to Visier's platform. This job type is associated with data connectors. For more information, see Run a Data Connector Extraction Job. Processing Jobs deal with an individual analytic tenant's data load. A processing job is either triggered through the UI or is one of many processing jobs spawned from a receiving job. When a processing job is triggered as part of a set from a receiving job, it is associated to the receiving job through a Parent ID. Receiving Jobs deal with the receiving of data through any data transfer. A system-generated event triggers a receiving job and this job shows the status of the Visier platform working on extracting and virus-scanning the contents of the file.
Parent ID	Present for processing jobs. Several processing jobs can share a Parent ID. Since the batch file contains data for multiple analytic tenants, the Parent ID is typically the related receiving job ID.
Progress	Indicates the progress and duration of a job for its current stage. If Auto Refresh is enabled, the progress bar updates every 10 seconds. You can also click Refresh to see the progress of the job in real time.
Stage	Indicates the current phase of a running job or the stage where a job failed. To see the progress of a job through the stages, select a job.
Start Time	The date and time when the job was initiated.
Status	Indicates the current state of the job, such as Running.
Tenant Code	The unique identifier of the tenant that the job is associated with.
Tenant Name	The name that's shown for the administrating tenant or analytic tenant for which the job was run.

Reorganize the jobs list

Use the filter, search, and sort features to show the jobs that are most important to you.

When you have many tenants and data version jobs, the jobs list can get long. You can filter and sort the jobs or reorder the columns.

Filter the jobs list

Filters are provided to narrow the jobs list to some particular focus or criteria. You can filter by time, job type, job configuration, child job status, job status, and job level. When finished selecting your filters, click Apply.

• Time: Narrow down the relative start time to focus on jobs that were run during a specific time period.
• Job Type: Allows you to filter by Job Type. This is a quick way to determine how each job ran.
• Job Configuration: A multi-select filter that lets you determine which environment (production or project) that jobs were run against and the state of the data version deployment.
• Child Status: Filter on the status of the child jobs. Child jobs are jobs that were spawned from a parent job. For example, a receiving job might spawn several processing jobs. In this example, the processing jobs are child jobs. The color and number in the Child Statuses column indicates the following:
  • Green: The number of succeeded child jobs.
  • Red: The number of failed child jobs.
  • Gray: The number of pending child jobs.
  • Blue: The number of running child jobs.
• Status: Filter on the different job statuses; for example, only failed jobs. All completed jobs are shown as Complete, including Succeeded and Failed jobs. Similarly, Incomplete shows all jobs that are Pending or Running.

Search the jobs list

You can search for jobs by Job ID and Parent ID. To refresh the list of results after typing a search query, click Apply.

To search for a Job ID, click the Job ID to copy the ID to the clipboard and then paste it into the Search Jobs field, as shown next.

Filter and search together

The search and filter features can be used in combination. For example, you can narrow the list to succeeded jobs initiated in the last seven days for a specific tenant.

By default, jobs are sorted in descending order based on Start Time; that is, most recent first, as shown next.

Users have the option to sort based on Job Type, Parent ID, Tenant Name, Tenant Code, Job Config, Start Time, Status, and Job Source.

For example, clicking the Status column header allows you to see jobs listed by the job status, as shown next.

Clicking the column header again shows the results in descending order.

Reorder the jobs list columns

The default order of columns may not be your preferred order.

To reorder the columns, click a column header and drag it to a new location.

Drill down on a job

Clicking a job in the Jobs room navigates to the job drilldown page, which provides detailed information about the specified job.

The following screenshot illustrates the job drilldown page for a completed job.

1. Job Name and Job ID: The name of the job, such as the main data load, and the job's unique ID.
2. Status and Child Statuses: The status of the job and the count of succeeded, failed, pending, or running child jobs.
3. Child Jobs: If the job spawned additional jobs, this tab lists the spawned child jobs.
4. Info: Additional information about the job, such as the status of the job stages, the job type, start time, status, and uploaded ZIPs.
5. One of:
   1. Data Uploads: For receiving jobs, the tenants that have new data as a result of this job. You can include or exclude the data associated with this job for the tenants.
   2. File Validation: For processing jobs and extraction jobs, additional information about the data files in this job, such as any errors or data version information.
   3. Debug Inspector, ESL Issues, Troubleshooting Viewer: For extraction jobs, Service Partners can validate whether there were issues with the job using the debug inspector and other validation tools.
6. Upload Logs: Any issues or errors associated with the files in this job.

To navigate back to the Jobs room, click Jobs, as shown next.

You can also navigate back to a previous job in the hierarchy, such as from a child job to a parent job, by clicking the previous job in the navigation path. For example, to navigate from a receiving job to its parent extraction job, click Extraction Job, as shown next.

Below the header is a visualization of the job stages. A stage may have one of the following icons:

Icon	Description
	The stage was not executed.
	The stage has successfully completed.
	The stage has failed.

Download a job log

In the job drilldown page, you can download a job log to learn more about the job. Job logs provide more information about the job, such as subject IDs to investigate or failed value conversions.

To download a job log:

1. Open a project.
2. On the navigation bar, click Data > Jobs.
3. Drill down on a completed job and click Download Job Log.

The following table describes the information included in a job log.

Field	Description
Date	The date that the log value is valid in yyyy-MM-dd HH:mm:ss,SSS format.
Type	Whether the log value is INFO, WARN, or ERROR. INFO: The log value is informational. For example, validation was successful. WARN: The log value is a warning that may cause issues. For example, the release version is not the latest version. ERROR: The log value is an error. For example, a null value was encountered when loading a key property on a mapping.
TenantCode	The unique code associated with the tenant in which the job ran.
JobId	The unique identifier of the job.
Task	The task associated with each log value. For example, running file validation or excluding files.

Receiving job stages

A parent receiving job triggers one or more child receiving jobs, each of which trigger processing jobs. This enables validation to occur at the child level, rather than validating all files at the top-level, which improves overall job performance.

The stages of a parent receiving job are described as follows:

Stage	Description
File Monitoring	Monitors the received data files to ensure receiving is complete before continuing.
File Transfer	Transfer the data files to the extraction folder.
File Extraction	Decrypts and extracts the received data files into a temporary extraction directory.
Virus Scan	Scans the extracted files for viruses.
File Copy	Copies the extracted files from the temporary extraction directory into a tenant data folder.
Spawn Jobs	Schedules receiving jobs for the analytic tenants with data in the payload.
Cleanup	Cleans up temporary files.

The stages of a child receiving job are described as follows:

Stage	Description
Excel Extraction	Extracts values from an Excel file to Visier.
File Validation	Validates the schema associated with the file, such as the encoding and delimiter.
Source Generation	Creates a source in Visier for the source file, or connects the source file to an existing source in Visier.
Preprocessing	Prepares the file for processing.
Record Validation	Validates the records associated with the file.
Tenant File Update	Updates the tenant files with values from the receiving job.
Processing Pipeline	Processes the file in the data pipeline. In this stage, the platform checks whether skipDataLoad is true or false. If false, the job runs.
Profile Generation	Generates a profile for the file in Visier.
Update Parent Job Properties	Updates the properties associated with the parent job of the receiving job.
Cleanup	Cleans up temporary files.

Processing job stages

The stages of a processing job are described as follows:

Stage	Description
Initialize	Begins the processing job.
Prepare Job	Prepares the job to run.
Validate Files	Validates the files associated with the job, including schema validation and record validation.
Load Data	Loads the data values from the files into Visier.
Deploy	Deploys the data to the production version of the solution.
Cleanup	Cleans up temporary files.