Comments (3)
I don't think we support this, but I guess you can do it with SMT?
from snowflake-kafka-connector.
Thanks! So to clarify, the current behavior is that JSON records will be parsed as if all columns of the table were configure in the AUTO mode. Is that correct?
from snowflake-kafka-connector.
Yeah, I don't think we do anything fancy here, basically you create the TIMESTAMP column manually, then we use naming matching to put the data into corresponding column without any transformation. If you have any invalid timestamp format not in https://docs.snowflake.com/en/user-guide/data-load-snowpipe-streaming-overview#supported-java-data-types, the row will be rejected.
from snowflake-kafka-connector.
Related Issues (20)
- NDJSON support. HOT 4
- `buffer.flush.time` setting not working correctly. HOT 10
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- CVE-2023-39410 in Snowflake-kafka-connect JAR HOT 1
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- Distribute "slim" version of the connector HOT 2
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- Rollback on Prefix with channel name with connector name HOT 1
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from snowflake-kafka-connector.