Siyuan Zhuang created ARROW-3799:
Summary: Improve `make_in_expression`
Key: ARROW-3799
URL: https://issues.apache.org/jira/browse/ARROW-3799
Project: Apache Arrow
Issue Type: Improvement
Kouhei Sutou created ARROW-3798:
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Summary: [GLib] Add support for column type CSV read options
Key: ARROW-3798
URL: https://issues.apache.org/jira/browse/ARROW-3798
Project: Apache Arrow
Issue
Brent Kerby created ARROW-3797:
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Summary: [Rust] BinaryArray::value_offset incorrect in offset case
Key: ARROW-3797
URL: https://issues.apache.org/jira/browse/ARROW-3797
Project: Apache Arrow
Is
Paddy Horan created ARROW-3796:
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Summary: [Rust] Add Example for PrimitiveArrayBuilder
Key: ARROW-3796
URL: https://issues.apache.org/jira/browse/ARROW-3796
Project: Apache Arrow
Issue Type: Imp
Javier Luraschi created ARROW-3795:
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Summary: [R] Support for retrieving NAs from INT64 arrays
Key: ARROW-3795
URL: https://issues.apache.org/jira/browse/ARROW-3795
Project: Apache Arrow
Iss
Javier Luraschi created ARROW-3794:
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Summary: [R] Consider mapping INT8 to integer() not raw()
Key: ARROW-3794
URL: https://issues.apache.org/jira/browse/ARROW-3794
Project: Apache Arrow
Iss
Hi all,
I'm picking this back up again and have WIP pr at
https://github.com/apache/arrow/pull/2966. Please take a look at the new
APIs and see if they impact you downstream. In addition to the API changes
mentioned before by Li, there is also
(4) IntervalDayVector now uses java.time.Duration, w
Benjamin Kietzman created ARROW-3793:
Summary: TestScalarAppendUnsafe is not testing unsafe appends
Key: ARROW-3793
URL: https://issues.apache.org/jira/browse/ARROW-3793
Project: Apache Arrow
Suvayu Ali created ARROW-3792:
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Summary: [PARQUET] Segmentation fault when writing empty
RecordBatches
Key: ARROW-3792
URL: https://issues.apache.org/jira/browse/ARROW-3792
Project: Apache Arrow
Notes:
Attendees:
Sidd
Wes
Ravindra
Arvind
Shyam
Bryan
Francois
Bryan:
1. Switching over to Java time from Joda time. At Dremio we need to assess
the impact of these changes. Bryan will put a WIP PR soon. There has been a
discussion about this on mailing list
2. The Gandiva microbenchmark test fa
All are welcome
https://meet.google.com/vtm-teks-phx
Kouhei Sutou created ARROW-3791:
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Summary: [C++] Add CSV conversion option to parse booleans
Key: ARROW-3791
URL: https://issues.apache.org/jira/browse/ARROW-3791
Project: Apache Arrow
Issue Ty
Wes McKinney created ARROW-3790:
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Summary: [C++] Signed to unsigned integer cast yields incorrect
results when type sizes are the same
Key: ARROW-3790
URL: https://issues.apache.org/jira/browse/ARROW-3790
https://issues.apache.org/jira/browse/ARROW-3790
On Wed, Nov 14, 2018 at 9:03 AM Wes McKinney wrote:
>
> There's a logical error here
>
> https://github.com/apache/arrow/blob/master/cpp/src/arrow/compute/kernels/cast.cc#L239
>
> The cast
>
> constexpr in_type kMax =
> static_cast(std::numeric_limi
Wes McKinney created ARROW-3789:
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Summary: [Python] Enable calling object in Table.to_pandas to
"self-destruct" for improved memory use
Key: ARROW-3789
URL: https://issues.apache.org/jira/browse/ARROW-3789
Kouhei Sutou created ARROW-3788:
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Summary: [Ruby] Add support for CSV parser writtin in C++
Key: ARROW-3788
URL: https://issues.apache.org/jira/browse/ARROW-3788
Project: Apache Arrow
Issue Typ
There's a logical error here
https://github.com/apache/arrow/blob/master/cpp/src/arrow/compute/kernels/cast.cc#L239
The cast
constexpr in_type kMax =
static_cast(std::numeric_limits::max());
is overflowing int32_t
This code path was only written for the unsigned-to-signed case. The
functors ne
Seems like the type combination you're using (int32 -> uint32) and (int32
-> uint64) don't match the following pattern-matching
https://github.com/apache/arrow/blob/master/cpp/src/arrow/compute/kernels/cast.cc#L191-L192
which avoid using "safe" cast and revert to the following cast
implementation
Yes, it looks buggy to me, see
In [12]: arr = pa.array([-1, -2, -3], type='int32')
In [13]: arr.cast('uint8')
---
ArrowInvalid Traceback (most recent call last)
in ()
> 1 arr.cast('uint8')
~
I'm implementing Array$cast() in the R package, i.e.
https://issues.apache.org/jira/browse/ARROW-3741?filter=12344983
I'm seeing some weird results when casting from int32 to uint32 and uint64 (I'm
expecting errors here as it's supposed to be safe
https://github.com/apache/arrow/pull/2959#issue
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