[
https://issues.apache.org/jira/browse/ARROW-361?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15635451#comment-15635451
]
Uwe L. Korn commented on ARROW-361:
---
PR: https://github.com/apache/arrow/pull/197
> Pyth
next sync in 2 weeks, same time.
Let me know if you want to get reminded with a calendar invite.
On Thu, Nov 3, 2016 at 10:38 AM, Julien Le Dem wrote:
> Notes:
>
> Wes (Two Sigma):
> Status:
>- IO layer
>- Benchmark
>- Python -> arrow with zero-copy. Some overhead in Pandas. discus
Yes, please -- any patch must have an associated JIRA.
On Wed, Nov 2, 2016 at 5:15 PM, Bryan Cutler wrote:
> Thanks for clearing that up Wes! I couldn't figure out why it was working
> before I updated, but makes sense now. I'd be happy to add this to the
> Python README, is it worth opening a
Notes:
Wes (Two Sigma):
Status:
- IO layer
- Benchmark
- Python -> arrow with zero-copy. Some overhead in Pandas. discussed for
Pandas 2.0
Priority:
- integration tests:
- generate some hand coded datasets to validate on each side
(Java/CPP)
- cross validation
- c
Wes McKinney created ARROW-364:
--
Summary: [Python] Multithreaded conversion between Arrow record
batches as NumPy arrays (for pandas)
Key: ARROW-364
URL: https://issues.apache.org/jira/browse/ARROW-364
P
[
https://issues.apache.org/jira/browse/ARROW-362?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15633574#comment-15633574
]
Uwe L. Korn commented on ARROW-362:
---
This was to one too much reference count in the zero
[
https://issues.apache.org/jira/browse/ARROW-323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Wes McKinney resolved ARROW-323.
Resolution: Fixed
Issue resolved by pull request 194
[https://github.com/apache/arrow/pull/194]
> [P
Wes McKinney created ARROW-363:
--
Summary: Set up Java/C++ integration test harness
Key: ARROW-363
URL: https://issues.apache.org/jira/browse/ARROW-363
Project: Apache Arrow
Issue Type: New Featu
[
https://issues.apache.org/jira/browse/ARROW-230?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Wes McKinney reassigned ARROW-230:
--
Assignee: Wes McKinney
> Python: Do not name modules like native ones (i.e. rename pyarrow.io)
>
[
https://issues.apache.org/jira/browse/ARROW-230?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Wes McKinney resolved ARROW-230.
Resolution: Fixed
Resolved by
https://github.com/apache/arrow/commit/d4148759a266d90dacd1ca2b7b7ff0d
it is happening now.
On Thu, Nov 3, 2016 at 7:44 AM, Julien Le Dem wrote:
> Every other week we do an Arrow sync over google hangout:
> https://plus.google.com/hangouts/_/dremio.com/arrow
> Thursday 10am PT
> --
> Julien
>
--
Julien
Uwe L. Korn created ARROW-362:
-
Summary: Python: Calling to_pandas on a table read from Parquet
leaks memory
Key: ARROW-362
URL: https://issues.apache.org/jira/browse/ARROW-362
Project: Apache Arrow
[
https://issues.apache.org/jira/browse/ARROW-362?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Uwe L. Korn updated ARROW-362:
--
Description:
Steps to reproduce:
* Read a parquet file with {{pyarrow.parquet.read_table}} and convert t
[
https://issues.apache.org/jira/browse/ARROW-362?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Uwe L. Korn updated ARROW-362:
--
Description:
Steps to reproduce:
* Read a parquet file with {{pyarrow.parquet.read_table}} and convert t
[
https://issues.apache.org/jira/browse/ARROW-362?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Uwe L. Korn updated ARROW-362:
--
Affects Version/s: 0.1.0
> Python: Calling to_pandas on a table read from Parquet leaks memory
>
Uwe L. Korn created ARROW-361:
-
Summary: Python: Support reading a column-selection from Parquet
files
Key: ARROW-361
URL: https://issues.apache.org/jira/browse/ARROW-361
Project: Apache Arrow
I
Every other week we do an Arrow sync over google hangout:
https://plus.google.com/hangouts/_/dremio.com/arrow
Thursday 10am PT
--
Julien
Abdulrahman, your schema diagram did not come through, at least not in a way I
could view it in Mac Mail. Looking at the message source, I don’t see the
specified Content ID [cid] or inline data element for the graphic.
Generally speaking, I believe the Arrow project defines data structures, f
Uwe L. Korn created ARROW-360:
-
Summary: C++: Add method to shrink PoolBuffer using realloc
Key: ARROW-360
URL: https://issues.apache.org/jira/browse/ARROW-360
Project: Apache Arrow
Issue Type: I
Dears,
I would like to get more information from you in order for me to use Arrow and
be able to contribute in the near future.
What i see in Arrow that i can read and write Arrow files (from the vector test
classes), i did not see tests for sending data over a network. As i understood
from t
20 matches
Mail list logo
