Kouhei Sutou created ARROW-3921:
---
Summary: [CI][GLib] Log Homebrew output
Key: ARROW-3921
URL: https://issues.apache.org/jira/browse/ARROW-3921
Project: Apache Arrow
Issue Type: Sub-task
+1
In
"[VOTE] Accept donation of Rust Parquet implementation" on Fri, 30 Nov 2018
17:50:49 -0600,
Wes McKinney wrote:
> Dear all,
>
> The developers of
>
> https://github.com/sunchao/parquet-rs
>
> have been in touch with Apache Arrow and Apache Parquet. Based on
> mailing list discussi
+1!!
From: Andy Grove
Sent: Friday, November 30, 2018 4:26:21 PM
To: dev@arrow.apache.org
Subject: Re: [VOTE] Accept donation of Rust Parquet implementation
+1 and great to see this happening!
On Fri, Nov 30, 2018 at 4:51 PM Wes McKinney wrote:
> Dear all,
>
>
+1 and great to see this happening!
On Fri, Nov 30, 2018 at 4:51 PM Wes McKinney wrote:
> Dear all,
>
> The developers of
>
> https://github.com/sunchao/parquet-rs
>
> have been in touch with Apache Arrow and Apache Parquet. Based on
> mailing list discussions, it is being proposed to donate thi
Dear all,
The developers of
https://github.com/sunchao/parquet-rs
have been in touch with Apache Arrow and Apache Parquet. Based on
mailing list discussions, it is being proposed to donate this Parquet
Rust implementation into the Apache Arrow codebase in order to develop
it together with the Ar
Robert Nishihara created ARROW-3920:
---
Summary: Plasma reference counting not properly done in TensorFlow
custom operator.
Key: ARROW-3920
URL: https://issues.apache.org/jira/browse/ARROW-3920
Projec
hi folks,
Tomorrow is December 1. The last major Arrow release (0.11.0) took
place on October 8. Given how much work has happened in the project in
the last ~2 months, I think it would be great to complete the next
major release before the end-of-year holidays set in.
I've been curating the JIRA
Philipp Moritz created ARROW-3919:
-
Summary: [Python] Support 64 bit indices for pyarrow.serialize and
pyarrow.deserialize
Key: ARROW-3919
URL: https://issues.apache.org/jira/browse/ARROW-3919
Project
David Lee created ARROW-3918:
Summary: [Python] ParquetWriter.write_table doesn't support
coerce_timestamps or allow_truncated_timestamps
Key: ARROW-3918
URL: https://issues.apache.org/jira/browse/ARROW-3918
I opened a PR to update the website for the 0.11.1 patch release
https://github.com/apache/arrow/pull/3060
On Wed, Nov 28, 2018 at 8:02 AM Wes McKinney wrote:
>
> We forgot to update the website when we made the 0.11.1 bugfix
> release; it would be a good idea to do that.
> On Mon, Nov 26, 2018 a
hi Animesh -- can you link to JIRA issues about the C++ improvements
you're describing? Want to make sure this doesn't fall through the
cracks
Thanks
Wes
On Mon, Nov 26, 2018 at 7:54 AM Antoine Pitrou wrote:
>
>
> Hi Animesh,
>
> Le 26/11/2018 à 14:23, Animesh Trivedi a écrit :
> >
> > * C++ bitm
On Fri, Nov 30, 2018 at 10:00 AM Ben Kietzman wrote:
>
> I think the fallback graph approach might still be useful in the case of
> parsing with unions allowed, albeit with a much broader graph.
>
> For example,
>
> INT64 + STRING -> UNION(INT64, STRING)
> T + UNION (*) -> UNION(T, *)
> # ...
>
>
By the way: if anyone would like to be added to the calendar invite
for the biweekly syncs, please contact me off-list
On Fri, Nov 30, 2018 at 8:58 AM Wes McKinney wrote:
>
> I've heard from a couple people that they weren't able to join at 12pm
> when clicking on the link. Since that particular G
I think the fallback graph approach might still be useful in the case of
parsing with unions allowed, albeit with a much broader graph.
For example,
INT64 + STRING -> UNION(INT64, STRING)
T + UNION (*) -> UNION(T, *)
# ...
Related: how should ordinarily convertible types be handled in the contex
I think there's two useful modes for for schema-on-read:
* Unions allowed
* Unions not allowed
We haven't implemented union inference for converting Python sequences
yet. see e.g.
In [1]: import pyarrow as pa
In [2]: pa.array([{'a': 'foo'}, {'a': 'bar'}])
Out[2]:
-- is_valid: all not null
-- c
Le 30/11/2018 à 15:43, Ben Kietzman a écrit :
> Hi Antoine,
>
> The conversion of previous blocks is part of the fall back mechanism I'm
> trying to describe. When type inference fails (even in a different block),
> conversion of all blocks of the column is attempted to the next type in the
> fa
Hello,
With JSON and other "typed" formats (msgpack, protobuf, ...) you need to
take account unions, e.g.
{a: "herp", b: 10}
{a: true, c: "derp"}
The type for `a` would be union.
I think we should also evaluate into investing at ingesting different
schema DSL (protobuf idl, json-schema) to avoi
Wes McKinney created ARROW-3917:
---
Summary: [Python] Provide Python API to ArrayBuilder classes
Key: ARROW-3917
URL: https://issues.apache.org/jira/browse/ARROW-3917
Project: Apache Arrow
Issue
I've heard from a couple people that they weren't able to join at 12pm
when clicking on the link. Since that particular Google Meet room was
set up by Dremio, someone there has to let you in. So if this happens
in the future, wait a couple minutes and try again. You can also write
to the mailing li
Mackenzie created ARROW-3916:
Summary: [Python] Support caller-provided filesystem in
`ParquetWriter` constructor
Key: ARROW-3916
URL: https://issues.apache.org/jira/browse/ARROW-3916
Project: Apache Arro
Mackenzie created ARROW-3915:
Summary: [Python] Support partition columns when incrementally
writing
Key: ARROW-3915
URL: https://issues.apache.org/jira/browse/ARROW-3915
Project: Apache Arrow
I
Thanks. I will review today and start a vote about the code donation.
I know that we already voted to accept in Apache Parquet, but I want
to double check that the Arrow community is also on board with sharing
responsibility for this code. If the Parquet community wants to make
Rust Parquet releas
Hi Antoine,
The conversion of previous blocks is part of the fall back mechanism I'm
trying to describe. When type inference fails (even in a different block),
conversion of all blocks of the column is attempted to the next type in the
fallback graph.
If there is no problem with the fallback grap
Krisztian Szucs created ARROW-3914:
--
Summary: [C++/Python/Packaging] Docker-compose setup for Alpine
linux
Key: ARROW-3914
URL: https://issues.apache.org/jira/browse/ARROW-3914
Project: Apache Arrow
Hi Ben,
Le 30/11/2018 à 02:19, Ben Kietzman a écrit :
> Currently, to figure out which types may be inferred and under which
> circumstances they will be inferred involves digging through code. I think
> it would be useful to have an API for expressing type inference rules.
> Ideally this would
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