Why is Airbyte failing on schema changes?

Airbyte usually “fails on schema changes” for one of a few common reasons:

1) The source schema changed in a way Airbyte doesn’t auto-handle

Examples:

• A new column was added
• A column was removed
• A column changed type
• Nested JSON structure changed
• A primary key / cursor field changed

Some connectors can detect schema drift and refresh automatically; others require a manual refresh schema or a full reset/re-sync.

2) Destination compatibility issues

Even if the source accepts the change, the destination may not:

• Snowflake/Postgres/BigQuery may reject type changes
• Adding columns may be fine, but dropping/renaming columns can break replication
• Destination tables may have constraints or incompatible types

3) Incremental sync assumptions broke

If the sync is incremental, schema changes can cause issues when:

• The cursor field disappeared or changed type
• Records emitted by the source no longer match the saved stream schema
• The connector is using an old catalog/saved schema

4) The connector is behind or buggy

Some Airbyte connectors are more fragile with schema evolution than others, especially for:

• Custom connectors
• Older source/destination versions
• CDC-based pipelines
• Semi-structured data sources

5) Sync configuration requires manual intervention

Depending on the setup, you may need to:

• Refresh source schema
• Update the stream in the connection
• Reset the stream
• Recreate the connection
• Upgrade the connector version

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What to check first

1. Look at the sync logs for the exact error
   The message usually tells you whether it’s:

   • schema mismatch
   • invalid type cast
   • missing field
   • destination rejection

2. Compare source schema vs Airbyte catalog

   • Did the source add/rename/remove fields?
   • Did field types change?

3. Check whether the destination supports the change

   • Especially for type changes and nested fields

4. Try refreshing the schema

   • In the Airbyte UI, refresh the source schema for the connection
   • Save/update the connection and rerun

5. If needed, reset the affected stream

   • This is often required when fields are removed or types changed

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Common fixes

• New columns added: refresh schema, then sync
• Column type changed: adjust source data or destination mapping; often requires reset
• Column renamed/removed: create a new stream or reset/rebuild the sync
• Nested JSON changed: flatten upstream or use a compatible destination type
• Stale catalog: re-discover schema and update connection

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If you paste the exact Airbyte error log or tell me:

• source connector
• destination
• type of schema change
• whether it’s incremental or full refresh

…I can pinpoint the likely cause and the right fix.