Bryan Cutler created ARROW-1962:
---
Summary: [Java] Add reset() to ValueVector interface
Key: ARROW-1962
URL: https://issues.apache.org/jira/browse/ARROW-1962
Project: Apache Arrow
Issue Type: Im
+1. Thanks, Wes.
On Tue, Jan 2, 2018 at 12:10 PM, Holden Karau wrote:
> Would it make sense to mention the other Apache projects using/planning to
> use Arrow?
>
> On Tue, Jan 2, 2018 at 11:31 AM Li Jin wrote:
>
> > +1. Thanks Wes!
> >
> > On Tue, Jan 2, 2018 at 11:19 AM, Uwe L. Korn wrote:
>
Would it make sense to mention the other Apache projects using/planning to
use Arrow?
On Tue, Jan 2, 2018 at 11:31 AM Li Jin wrote:
> +1. Thanks Wes!
>
> On Tue, Jan 2, 2018 at 11:19 AM, Uwe L. Korn wrote:
>
> > +1
> >
> > On Tue, Jan 2, 2018, at 4:21 PM, Wes McKinney wrote:
> > > Here is a dra
+1. Thanks Wes!
On Tue, Jan 2, 2018 at 11:19 AM, Uwe L. Korn wrote:
> +1
>
> On Tue, Jan 2, 2018, at 4:21 PM, Wes McKinney wrote:
> > Here is a draft for this quarter's ASF board report. The Activity /
> > Health sections are a bit light on detail, if others would like to add
> > some things fee
Wes McKinney created ARROW-1961:
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Summary: [Python] Writing Parquet file with flavor='spark' loses
pandas schema metadata
Key: ARROW-1961
URL: https://issues.apache.org/jira/browse/ARROW-1961
Project: A
We are still in the early stages of defining such APIs. See
https://github.com/apache/arrow/tree/master/cpp/src/arrow/compute
where this code is being written. We would be glad of any additional
work or input on the design for the computation APIs
- Wes
On Tue, Jan 2, 2018 at 10:43 AM, Jin Hai
Wes McKinney created ARROW-1960:
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Summary: [Python] Pre-emptively import TensorFlow if it is
available
Key: ARROW-1960
URL: https://issues.apache.org/jira/browse/ARROW-1960
Project: Apache Arrow
hi Jin -- the idea of using unified memory is interesting. My initial
thinking was to make the semantics of host vs. device memory explicit,
but it's hard to tell until we see how more GPU users will be using
the Arrow libraries. As an initial first step, we could create a
Buffer implementation (li
+1
On Tue, Jan 2, 2018, at 4:21 PM, Wes McKinney wrote:
> Here is a draft for this quarter's ASF board report. The Activity /
> Health sections are a bit light on detail, if others would like to add
> some things feel free to send them along.
>
> thanks
> Wes
>
> ## Description:
>
> Apache Arro
Wes McKinney created ARROW-1959:
---
Summary: [Python] Add option for "lossy" conversions (overflow ->
null) from timestamps to datetime.datetime / pandas.Timestamp
Key: ARROW-1959
URL: https://issues.apache.org/jira/b
Cool, do you have any idea how to implement the function in Arrow? Such as
create a JIRA ticket and describe the idea?
> On 2 Jan 2018, at 11:37 PM, Wes McKinney wrote:
>
>
> Hi Jin,
>
> If you are reading Parquet files, you can look at the column
> statistics for a row group using the C++ A
I'll take a look at updating the site docs today. Thanks for pointing this out!
On Wed, Dec 27, 2017 at 4:57 AM, Animesh Trivedi
wrote:
> Hello everyone,
>
> I solved the issue with my writer. Now everything is working fine,
> including HDFS file reads and writes. I also wrote a parquet to arrow
Hi Jin,
If you are reading Parquet files, you can look at the column
statistics for a row group using the C++ API. We definitely plan to
implement functions to compute reduction-based statistics like minimum
and maximum from data already in an Arrow array in C++, but it has not
been implemented ye
Here is a draft for this quarter's ASF board report. The Activity /
Health sections are a bit light on detail, if others would like to add
some things feel free to send them along.
thanks
Wes
## Description:
Apache Arrow is a cross-language development platform for in-memory data. It
specifies a
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