Data Connection - which format are supported for incremental ingest with a timestamp?

When ingesting incrementally from a source-system, I need to specify a timestamp column to avoid old already ingested data to be ingested again. In short I need to use a timestamp column as the incremental column of my incremental sync.

My Query looks like

SELECT * FROM "table" WHERE "some_timestamp_col" > ?

Which columns types are supported and will yield to a working incremental ingest ? (no duplicated rows, no error)

  • A timestamp column ingested as a String as a date-time epoch-time, like 2021-10-12 00:00:00
  • A timestamp column ingested as a String as an epoch timestamp representation, like 1634083200
  • A timestamp column ingested as a Long
  • A timestamp column ingested as a Timestamp
  • A timestamp column ingested as a Date
  • Other ?

When I say “ingested as”, that’s the kind of statement I have in mind:
SELECT *, EXTRACT(EPOCH FROM "some_timestamp_col") FROM "table" WHERE "some_timestamp_col" > ?; in Postgres Syntax

To what I see in the docs, there might be cases where microseconds are dropped during the ingestion, hence generating duplicated data. In which case this can be a problem ?