Table of Contents

Data Pipeline Runs

Learn how to view, filter, and analyze data pipeline execution history.

Overview

The Data Pipeline Runs page provides visibility into pipeline execution history, allowing you to monitor processing status, investigate failures, and track data ingestion progress.

Accessing Pipeline Runs

  1. In the Management Portal sidebar, click Data Pipeline Runs under the Data section
  2. The runs list loads, showing execution history sorted by most recent first

Pipeline Runs Table

The table displays:

Column Description
Item Pipeline that was executed
Status Current state (Running, Completed, Failed)
Success Whether the run succeeded
Start Time When execution began
End Time When execution completed (if finished)
Duration Total execution time

Filtering Runs

Use the filters at the top of the table to narrow results:

Available Filters

Filter Description
Item Select a specific pipeline
Status Filter by execution status
Success Filter by success/failure
Start Time Time range presets
Start Time From/To Custom date range (when "Custom" is selected)

Time Range Options

Option Description
All Show all runs
Last Hour Runs started in the last hour
Last 24 Hours Runs started in the last day
Last 7 Days Runs started in the last week
Last 30 Days Runs started in the last month
Custom Specify start/end dates manually

Using Custom Date Range

  1. Select Custom from the Start Time dropdown
  2. Use the Start Time From calendar to set the begin date
  3. Use the Start Time To calendar to set the end date
  4. The list automatically filters

Clearing Filters

Click Clear Filters to reset all filters to their default values.

Refreshing the List

Click the Refresh button (🔄) to reload the pipeline runs list with the latest data.

Run Status Indicators

Status Description
Running Pipeline is currently executing
Completed Pipeline finished execution
Failed Pipeline encountered an error
Cancelled Pipeline was manually stopped

Viewing Run Details

TODO: Document how to view detailed run information when clicking on a specific run. This may include step-by-step execution logs, items processed, errors, and performance metrics.

Common Scenarios

Finding Failed Runs

  1. Set the Success filter to Failed
  2. Review the list of failed runs
  3. Click on a run to investigate the cause

Monitoring Active Runs

  1. Set the Status filter to Running
  2. Monitor progress of active pipelines
  3. Use refresh to see updated status

Reviewing Recent Activity

  1. Set Start Time to Last 24 Hours
  2. Review all pipeline activity from the last day

Troubleshooting

Pipeline Takes Too Long

  • Check if the data source has more data than expected
  • Review stage configurations for optimization opportunities
  • Consider breaking large datasets into smaller batches

Frequent Failures

  • Check data source connectivity
  • Review error messages in run details
  • Verify authentication credentials haven't expired

Runs Not Appearing

  • Click refresh to update the list
  • Verify your filters aren't excluding the runs
  • Check that you have permission to view the pipeline