kevinjqliu commented on issue #402:
URL: https://github.com/apache/iceberg-python/issues/402#issuecomment-2688531149
yes we have plans to improve upsert functionalities. The current
implementation was a first pass to support the minimal functionalities of
upsert :)
I can open a new
sungwy commented on issue #402:
URL: https://github.com/apache/iceberg-python/issues/402#issuecomment-2371902578
Hi @Minfante377 sorry for the delayed response, and thank you for the
interest!
Unfortunately, this is still an open issue on PyIceberg with no assignee.
MERGE INTO with t
Minfante377 commented on issue #402:
URL: https://github.com/apache/iceberg-python/issues/402#issuecomment-2322949632
Any updates on this one? I'm good with overwrite + overwrite filters for now
but for tables where columns are populated by different sources it would be
awesome to have full
sungwy commented on issue #402:
URL: https://github.com/apache/iceberg-python/issues/402#issuecomment-2271531980
@ev2900 agreed :) I've added that Issue above (#1008) to address that
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to Gi
sungwy commented on issue #402:
URL: https://github.com/apache/iceberg-python/issues/402#issuecomment-2271507538
Hi @ev2900 - would using the `overwrite` feature by specifying the boolean
expression on which to upsert work for your use case?
https://github.com/apache/iceberg-python/b
Milias commented on issue #402:
URL: https://github.com/apache/iceberg-python/issues/402#issuecomment-2264079323
That PR looks exactly like what I am asking for, yes! Thank you very much
for pointing it out. I will keep an eye on it.
--
This is an automated message from the Apache Git Ser
sungwy commented on issue #402:
URL: https://github.com/apache/iceberg-python/issues/402#issuecomment-2262744645
I think you must be referring to dynamic overwrite / replace partition API
that detects the partitions of the given input and replaces it. This feature is
actually still in progr
syun64 commented on issue #402:
URL: https://github.com/apache/iceberg-python/issues/402#issuecomment-2164079178
Hi @corleyma - I opened up this PR to address your comment here by
[introducing a scan API that will return a
RecordBatchReader](https://github.com/apache/iceberg-python/pull/786
corleyma commented on issue #402:
URL: https://github.com/apache/iceberg-python/issues/402#issuecomment-2000597425
Note from Slack: to work in the larger-file usecases where folks are using
PySpark/Spark, I think this would need to play well with pyarrow streaming
read/write functionality,
