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Looker Scheduled Report Failure Rate

What is Looker Scheduled Report Failure Rate?

The Looker Scheduled Report Failure Rate measures the percentage of scheduled report deliveries (via email, Slack, or webhook) in Looker that fail to execute successfully within a specific time period.

These failures can occur due to issues such as:

  • Expired credentials or access permissions
  • Query timeouts or database connection errors
  • Broken LookML dependencies
  • Server capacity or scheduling conflicts

This metric helps BI and data engineering teams assess the reliability of automated insights delivery and maintain trust in data reporting pipelines.

How to Calculate Looker Scheduled Report Failure Rate?

To calculate the failure rate, track all scheduled report delivery attempts within a defined time frame, and identify how many of them failed. Then divide the number of failed deliveries by the total number of scheduled report attempts.

Steps to Calculate Looker Scheduled Report Failure Rate

  • Step 1 : Define the Measurement Period. Choose a consistent timeframe (e.g., daily, weekly, or monthly).
  • Step 2 : Use Looker’s System Activity dashboard or Admin API to retrieve delivery status data for all scheduled reports.
  • Step 3 : Filter logs where the delivery status is marked as “failed” or “error.”
  • Step 4 : Include all scheduled reports triggered in that period, both successful and failed.
  • Step 5 : Divide failed deliveries by total deliveries and multiply by 100.
  • Step 6 : Track changes over time and correlate spikes with deployment changes or database downtime.

Formula to Calculate Looker Scheduled Report Failure Rate

Looker Scheduled Report Failure Rate (%) = Number of Failed Scheduled Deliveries ÷ Total Scheduled Deliveries ×100

Benchmark for Looker Scheduled Report Failure Rate

Looker Scheduled Report Failure Rate should be less than 2%.

Related Metrics for Looker Scheduled Report Failure Rate

  • Scheduled Report Success Rate
  • Data Pipeline Success Rate
  • User Engagement with Scheduled Reports

FAQ's

Failures commonly stem from database timeouts, model errors, permission issues, or incorrect scheduling configurations. Sometimes, expired access tokens or email delivery errors are also responsible.

Ensure database connections are stable, optimize heavy queries, validate LookML dependencies, and periodically test report schedules after deployments or schema changes.

Yes. Admins can configure System Activity alerts or Looker API scripts to monitor failed deliveries and send real-time notifications to Slack or email.