Attendees:
- David Li
- Eduardo Ponce
- Gavin Ray
- Ian Cook
- James Duong
- Matthew Topol
- Nic
- Niranda
- Raul Cumplido
- Rok
- Weston Pace
- Will Jones
N.B. The Voltron Data folks have a scheduling conflict on 4/27 and will not be
able to host the fortnightly sync call. Is anyone available t
Thanks for describing the use case Li!
> The examples we ran are on UTC timestamp without any timezone
> complications, perhaps there is room for short circuits when there are no
> timezone complications...
I think using UTC zoned timestamp array might currently behave as a
regular timezoned time
Thanks both for the reply. It's understandable that those kernels might not
be optimized right now considering the state of the Arrow compute.
> The temporal rounding operations operate on localized times taking into
account the timestamp's timezone, which is why they're more
computationally inten
+1 (binding)
Verified on Ubuntu 20.04.3 LTS
On Wed, Apr 13, 2022 at 9:40 AM Matthew Turner
wrote:
> +1 (non-binding)
>
> Verified on M1 Macbook Air.
>
> Thanks, Andrew.
>
> From: Yang hao <1371656737...@gmail.com>
> Date: Tuesday, April 12, 2022 at 9:27 PM
> To: dev@arrow.apache.org
> Subject:
+1 (non-binding)
Verified on M1 Macbook Air.
Thanks, Andrew.
From: Yang hao <1371656737...@gmail.com>
Date: Tuesday, April 12, 2022 at 9:27 PM
To: dev@arrow.apache.org
Subject: Re: [VOTE][RUST][Datafusion] Release Apache Arrow Datafusion 7.1.0 RC1
+1 (non-binding)
Verified on macOS 12.2 Apple
Hi,
The plan seems to be to start preparing the 8.0.0 release around the 21st
of April, which means we probably will be cutting a release in ~1 / ~2
weeks from now.
A confluence page was made to track the progress for the 8.0.0 release (
https://cwiki.apache.org/confluence/display/ARROW/Arrow+8.0
Hello Li,
The temporal rounding operations operate on localized times taking into
account the timestamp's timezone, which is why they're more
computationally intensive that raw floating point operations.
Which operation in particular did you benchmark? Is it part of a
significant workload
