HonahX closed issue #541: Pyarrow type error
URL: https://github.com/apache/iceberg-python/issues/541
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bigluck commented on issue #541:
URL: https://github.com/apache/iceberg-python/issues/541#issuecomment-2042792612
@Fokko it sounds good to me! :)
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Fokko commented on issue #541:
URL: https://github.com/apache/iceberg-python/issues/541#issuecomment-2042789157
Ciao @bigluck. Thanks for jumping in here. Until V3 is finalized, we can add
a flag to cast a nanosecond to a microsecond precision. Would that work for you?
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bigluck commented on issue #541:
URL: https://github.com/apache/iceberg-python/issues/541#issuecomment-2042703204
So, `timestamp_ns` & `timestamptz_ns` has been added on the `v3` of the
iceberg specs, pyiceberg right now supports `v1` &`v2`.
In my case, the column has been generated b
bigluck commented on issue #541:
URL: https://github.com/apache/iceberg-python/issues/541#issuecomment-2042634726
I'm facing a similar issue in my code.
Tested using main@7fcdb8d25dfa2498ba98a2b8e8d2b327d85fa7c9 (the commit after
`Minor fixes, #523 followup (#563)` and `Cast data to I
kevinjqliu commented on issue #541:
URL: https://github.com/apache/iceberg-python/issues/541#issuecomment-2016890280
Hey @dev-goyal, do you mind posting a snippet of your example above? I think
this is very similar to #520
In #520, the iceberg table is created with pyarrow schema. Int
dev-goyal commented on issue #541:
URL: https://github.com/apache/iceberg-python/issues/541#issuecomment-2016573605
Thanks @Fokko, makes sense! I was able to simply reduce precision on my end
so it's not a big deal, but I figured it couldn't hurt to raise this.
I wrote these data usin
Fokko commented on issue #541:
URL: https://github.com/apache/iceberg-python/issues/541#issuecomment-2016497750
@dev-goyal Thanks for raising this. It looks like that's a timestamp with
nanosecond precision. Support for nanosecond timestamps is currently being
added in the latest specificat
dev-goyal opened a new issue, #541:
URL: https://github.com/apache/iceberg-python/issues/541
### Apache Iceberg version
0.6.0 (latest release)
### Please describe the bug 🐞
Given a table like so:
`In [36]: table
Out[36]:
matches(
...
14: player_last_