Miguel Cabrera created ARROW-5411:
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Summary: Build error building on Mac OS Mojave
Key: ARROW-5411
URL: https://issues.apache.org/jira/browse/ARROW-5411
Project: Apache Arrow
Issue Type: Bug
Tham created ARROW-5410:
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Summary: Crash at arrow::internal::FileWrite
Key: ARROW-5410
URL: https://issues.apache.org/jira/browse/ARROW-5410
Project: Apache Arrow
Issue Type: Bug
Environment:
I'd like to bump this thread, to see if anyone has any comments. If nobody
objects I will try to start implementing the changes next week.
Thanks,
Micah
On Mon, May 20, 2019 at 9:37 PM Micah Kornfield
wrote:
> In the past [1] there hasn't been agreement on the final requirements for
> union
Preeti Suman created ARROW-5409:
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Summary: [C++] Improvement for IsIn Kernel when right array is
small
Key: ARROW-5409
URL: https://issues.apache.org/jira/browse/ARROW-5409
Project: Apache Arrow
Neville Dipale created ARROW-5408:
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Summary: [Rust] Create struct array builder that creates null
buffers
Key: ARROW-5408
URL: https://issues.apache.org/jira/browse/ARROW-5408
Project: Apache Arrow
Not sure why cmake isn't happy (as in original post). Environment is set
up as per instructions:
(pyarrow-dev) JGM-KTG-Mac-Mini:python jmuehlhausen$ conda list llvmdev
# packages in environment at
/Users/jmuehlhausen/miniconda3/envs/pyarrow-dev:
#
# NameVersion
llvmdev=7 is in the conda_env_cpp.yml requirements file, are you using
something else?
https://github.com/apache/arrow/blob/master/ci/conda_env_cpp.yml#L31
On Thu, May 23, 2019 at 12:53 PM John Muehlhausen wrote:
>
> The pyarrow-dev conda environment does not include llvm 7, which appears to
>
The pyarrow-dev conda environment does not include llvm 7, which appears to
be a requirement for Gandiva.
So I'm just trying to figure out a pain-free way to add llvm 7 in a way
that cmake can find it, for Mac.
I had already solved the other Mac problem with
export
Cool. At some point we are interested in having simple compressed
(e.g. with LZ4 or ZSTD) record batches natively in the Arrow protocol,
see
https://issues.apache.org/jira/browse/ARROW-300
On Thu, May 23, 2019 at 10:21 AM Joris Peeters
wrote:
>
> Cool, thanks. I think we'll just go with reading
Yes, but you will need to resolve
https://issues.apache.org/jira/browse/ARROW-5169
write_table should respect the field-level nullability in the schema
of the Table you pass
On Thu, May 23, 2019 at 10:34 AM Tim Swast wrote:
>
> I'm currently using parquet as the intermediate format when
I'm currently using parquet as the intermediate format when uploading a
pandas DataFrame to Google BigQuery. We encounter a problem when trying to
append a parquet file to a table with required fields (issue:
https://github.com/googleapis/google-cloud-python/issues/8093).
Is there a way to mark
Wes McKinney created ARROW-5407:
---
Summary: [C++] Integration test Travis CI entry builds many
unnecessary targets
Key: ARROW-5407
URL: https://issues.apache.org/jira/browse/ARROW-5407
Project: Apache
Cool, thanks. I think we'll just go with reading LZ4 compressed Arrow
directly from disk then, and by-pass Parquet altogether.
The compressed Arrow files are about 20% larger than the PQ files, but
getting it into some useful form in memory is almost on par with pandas.
At the moment, I don't
Tim Emerick created ARROW-5406:
--
Summary: enable Subscribe and GetNotification from Java
Key: ARROW-5406
URL: https://issues.apache.org/jira/browse/ARROW-5406
Project: Apache Arrow
Issue Type:
Wes McKinney created ARROW-5405:
---
Summary: [Documentation] Move integration testing documentation to
Sphinx docs, add instructions for JavaScript
Key: ARROW-5405
URL:
hi Joris,
The Apache Parquet mailing list is
d...@parquet.apache.org
I'm copying the list here
AFAIK parquet-mr doesn't feature vectorized reading (for Arrow or
otherwise). There are some vectorized Java-based readers in the wild:
in Dremio [1] and Apache Spark, at least. I'm interested to see
Hello,
I'm trying to read a Parquet file from disk into Arrow in memory, in Scala.
I'm wondering what the most efficient approach is, especially for the
reading part. I'm aware that Parquet reading is perhaps beyond the scope of
this mailing list but,
- I believe Arrow and Parquet are closely
OK. Can you open a JIRA about fixing this? I don't recall the
rationale for using MAP_PRIVATE to begin with, and since the behavior
is unspecified on Linux it would be better to be consistent across
platforms
On Wed, May 22, 2019 at 11:02 PM John Muehlhausen wrote:
>
> Well, it works fine on
Benjamin Kietzman created ARROW-5404:
Summary: [C++] nonstd::string_view conflicts with std::string_view
in c++17
Key: ARROW-5404
URL: https://issues.apache.org/jira/browse/ARROW-5404
Project:
Hi Sun,
Starting a thread on the mailing list around the query you had -
https://github.com/apache/arrow/issues/4375.
Currently Gandiva does not support a user defined repository, we want to
implement it sometime in the future but i am not sure when we will pick it
up. In case you want to go
Hello Ted,
regarding predicate pushdown in Python, have a look at my unfinished PR at
https://github.com/apache/arrow/pull/2623. This was stopped since we were
missing native filter in Arrow. The requirements for that have now been
implemented and we could probably reactivate the PR.
Uwe
On
Zhijun Fu created ARROW-5402:
Summary: [Plasma] Pin objects in plasma store
Key: ARROW-5402
URL: https://issues.apache.org/jira/browse/ARROW-5402
Project: Apache Arrow
Issue Type: Improvement
Antoine Pitrou created ARROW-5401:
-
Summary: [CI] [C++] Print ccache statistics on Travis-CI
Key: ARROW-5401
URL: https://issues.apache.org/jira/browse/ARROW-5401
Project: Apache Arrow
Issue
Neville Dipale created ARROW-5400:
-
Summary: [Rust] Test/ensure that reader and writer support
zero-length record batches
Key: ARROW-5400
URL: https://issues.apache.org/jira/browse/ARROW-5400
Neville Dipale created ARROW-5399:
-
Summary: [Rust] [Testing] Add IPC test files to arrow-testing
Key: ARROW-5399
URL: https://issues.apache.org/jira/browse/ARROW-5399
Project: Apache Arrow
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