S3 / CSV Incremental strategy

Connector Questions & Issues
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1
  • Is this your first time deploying Airbyte?: No
  • OS Version / Instance: Ubuntu
  • Memory / Disk: 4gb
  • Deployment: Elastic Beanstalk /w Docker
  • Airbyte Version: 40.1
  • Source name/version: S3/latest
  • Destination name/version: Postgres/latest
  • Step: Sync

I’m using the S3 connector with CSV files. This works perfectly when using the full refresh | overwrite strategy with the one problem that it wipes out any views I might have created (I assume because the refresh drops the table that the view is dependent on).

However, if I want to use one of the incremental strategies, it seems I’m unable to select the cursor field (it defaults to _ab_source_file_last_modified).

I have a created_at field which I think would be more suitable for the cursor but I’m also aware that might be misunderstanding something about the way the S3/CSV system works.

When I’ve used the incremental strategy with the _ab_source_file_last_modified I get a lot of duplicates, I suspect that this is due to me replacing the CSV on a periodic basis. Should I instead be saving increments of the dump and relying on the wildcard selector to pick these up?

2

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3

Thanks, looking forward to some feedback about how best to implement the S3/CSV pattern as it’s not clear from the documentation about how you are supposed to structure the files.

4

Bumping this. Some high level guidance around how we should be architecting the S3 / CSV connector would be welcome. Should we be thinking about incremental data dumps? How do others handle the need to retroactively change data without getting duplicates entries? Can we use a primary key in the CSV file?

5

Samuel today Airbyte will guarantees at-least-one record, which can cause duplicates. Some destination can use dbt to run the sync mode incremental mode + dedup history, but this is not possible to S3.