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4.2.4. Eventstream Runtime Errors
💡 First Principle: Eventstream errors occur during event processing—malformed data, transformation failures, or destination issues. Runtime logs and Data Insights help identify root causes.
Troubleshooting Eventstream Errors
- Check Runtime logs: Detailed error messages
- Review Data Insights: Event metrics and latency
- Filter by severity: Focus on errors first
- Examine event samples: Identify malformed data
- Check for schema drift: If the source renames or restructures fields, the ingestion mapping can write new events into different or empty columns. Queries on the old column names then return nothing even though ingestion succeeded.
| Log Source | Information | Use Case |
|---|---|---|
| Runtime Logs | Detailed error messages | Root cause analysis |
| Data Insights | Event counts, latency | Performance monitoring |
| Preview | Sample events | Data format validation |
Common runtime errors:
| Error | Likely Cause | Fix |
|---|---|---|
| Deserialization error | Event payload doesn't match the configured input format (e.g., invalid JSON) | Inspect samples in Preview; fix the producer or the format setting |
| Schema mismatch in an operator (source unchanged) | Event processor logic (filter, manage fields, aggregate) expects fields or types the events don't carry | Align the transformation with the actual event schema |
| Destination write failure | Missing destination table, permissions, or type conflicts | Check the destination configuration and Runtime logs |
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Written byAlvin Varughese
Founder•20 professional certifications