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Overview

Use filters to find specific jobs, analyze patterns, and troubleshoot issues efficiently.

Viewing Collection Jobs

Jobs can be viewed at two levels:

Connection-Level Jobs

View all collection jobs across all resources in a connection.
1

Navigate to Connection

Click on a connection from the Connections page
2

Open Collection Tab

Click the Collection or Jobs tab
Collection tab showing all jobs for connection

Resource-Level Jobs

View collection jobs for a specific resource.
1

Navigate to Resource

Click on a resource name from the Resources page
2

Open Collection Tab

Click the Collection tab to see jobs for this resource only

Job Information

Each job displays key information:

Job Status

Jobs have one of the following statuses:
  • Running (Blue) - Collection is currently in progress
  • Completed (Green) - Collection finished successfully
  • Failed (Red) - Collection encountered an error and stopped
  • Scheduled (Gray) - Job is queued but hasn’t started yet
Job status badges

Job Metrics

For each job, you can see:
  • Resource (connection-level view only) - Which resource was collected
  • Timestamp - When the job started
  • Records - Total number of records collected
  • Records/s - Collection speed (records per second)
  • Duration - How long the collection took
  • Job ID - Unique identifier for troubleshooting
Jobs table with metrics

Collection Performance Chart

The Collection page includes a visual chart showing collection trends over time.
Collection performance chart

Chart Features

  • Time series view - See collection volume and frequency over time
  • Multiple resources - Compare performance across resources (connection-level view)
  • Zoom and pan - Focus on specific time periods
  • Hover details - See exact values for any data point

Interpreting the Chart

The chart helps you:
  • Identify trends - Is data volume growing or shrinking?
  • Spot anomalies - Sudden spikes or drops in record counts
  • Verify schedules - Are collections running when expected?
  • Compare resources - Which resources collect the most data?
Use the chart to validate that collections are running according to your schedule and processing expected data volumes.

Filtering and Searching Jobs

Refine the jobs list to find specific executions.

Time Range Filters

Filter jobs by when they ran:
1

Open Filter Panel

Click the filter button or use the filter controls above the jobs table
Jobs filter panel
2

Select Time Range

Choose from preset ranges or specify custom dates:
  • Last 24 hours (default)
  • Last 7 days
  • Last 30 days
  • Custom date range
3

Apply Filter

The jobs table and chart update to show only jobs within the selected range

Status Filters

Filter jobs by their execution status:
Job status filter checkboxes
  • Show/hide Running jobs
  • Show/hide Completed jobs
  • Show/hide Failed jobs
  • Show/hide Scheduled jobs
To troubleshoot issues, filter to show only Failed jobs.

Resource Filters (Connection-Level Only)

When viewing connection-level jobs, filter by specific resources: Select one or more resources to see only their jobs.

Combining Filters

All filters work together. For example:
  • Last 7 days + Failed status + Specific resource = See all failures for that resource in the past week

Chart vs. Table Filters

By default, the chart shows up to 1000 recent jobs for visualization, while the table is paginated. Both respect your filter settings.
Toggle Chart Resources For connections with many resources, you can limit the chart to show:
  • Top 10 resources (default) - Most active resources by record count
  • All resources - Toggle on to see every resource
Toggle to show all resources in chart

Job Pagination

Jobs are displayed in pages for easy navigation.
1

Set Page Size

Choose how many jobs to show per page (10, 20, 50, or 100)
Jobs per page selector
2

Navigate Pages

Use the pagination controls at the bottom of the table to move between pages
Jobs pagination controls

Job Performance Metrics

Records Collected

Total number of records processed in the job. Use this to:
  • Verify expected data volume
  • Track data growth over time
  • Identify anomalies (sudden spikes or drops)

Records Per Second

Processing speed showing how fast data was collected. Use this to:
  • Benchmark normal performance
  • Identify slow collections
  • Compare performance across resources

Duration

Total time from job start to completion. Use this to:
  • Estimate future collection times
  • Schedule jobs to avoid conflicts
  • Identify performance degradation

Best Practices for Monitoring Jobs

Set Up Alerts

Configure notifications for job failures to respond quickly to issues

Review Failed Jobs Daily

Check failed jobs regularly and resolve issues promptly

Monitor Performance Trends

Track job duration and record counts over time to spot degradation

Investigate Anomalies

Unusual record counts or durations may indicate data quality issues

Test After Configuration Changes

Manually trigger a collection after changing settings to verify it works

Use Time Range Filters

Focus on recent jobs when troubleshooting active issues

Next Steps