date:20180401

[jira] [Commented] (ARROW-2189) [C++] Seg. fault on make_shared

2018-04-01 Thread Rares Vernica (JIRA)


[ 
https://issues.apache.org/jira/browse/ARROW-2189?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16421861#comment-16421861
 ] 

Rares Vernica commented on ARROW-2189:
--

I'm linking Arrow to a "plugin" which I load in SciDB. SciDB is complied with 
g++-4.9.

I'm also trying to use Ubuntu Trusty packages on Debian Jessie (I know this is 
not advised) but the problem disappears if I compile Arrow with g++ 4.9.

> [C++] Seg. fault on make_shared
> ---
>
> Key: ARROW-2189
> URL: https://issues.apache.org/jira/browse/ARROW-2189
> Project: Apache Arrow
>  Issue Type: Bug
>  Components: C++
>Affects Versions: 0.8.0
> Environment: Debian jessie in a Docker container
> libarrow-dev 0.8.0-2 (Ubuntu trusty)
>Reporter: Rares Vernica
>Priority: Major
> Attachments: Dockerfile, foo.cpp
>
>
> When creating a {{PoolBuffer}}, I get a {{Segmentation fault}} when I use 
> {{make_shared}}. If I use the {{shared_ptr}} constructor of {{reset}}, it 
> works fine. Here is an example:
> {code:java}
> #include 
> int main()
> {
> arrow::MemoryPool* pool = arrow::default_memory_pool();
> arrow::Int64Builder builder(pool);
> builder.Append(1);
> // #1
> // std::shared_ptr buffer(new arrow::PoolBuffer(pool));
> // #2
> // std::shared_ptr buffer;
> // buffer.reset(new arrow::PoolBuffer(pool));
> // #3
> auto buffer = std::make_shared(pool);
> }
> {code}
> {code:java}
> > g++-4.9 -std=c++11 -larrow foo.cpp && ./a.out
> Segmentation fault (core dumped)
> {code}
> The example works fine with {{#1}} or {{#2}} options. It also works if the 
> builder is commented out.



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[jira] [Commented] (ARROW-2189) [C++] Seg. fault on make_shared

2018-04-01 Thread Kouhei Sutou (JIRA)


[ 
https://issues.apache.org/jira/browse/ARROW-2189?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16421857#comment-16421857
 ] 

Kouhei Sutou commented on ARROW-2189:
-

Thanks. I confirmed it.

I also confirmed the followings:

  * Apache Arrow C++ compiled with g++-4.8 + -DCMAKE_BUILD_TYPE=Debug and 
foo.cpp compiled with g++-4.9 work well

  * Apache Arrow C++ compiled with g++-4.8 + -DCMAKE_BUILD_TYPE=Release and 
foo.cpp compiled with g++-4.9 don't work (crashed)

 Backtrace:

{noformat}
Program received signal SIGSEGV, Segmentation fault.
0x in ?? ()
(gdb) bt full
#0  0x in ?? ()
No symbol table info available.
#1  0x77941490 in arrow::ArrayBuilder::Init (
this=this@entry=0x7fffe640, capacity=capacity@entry=32)
at /arrow/cpp/src/arrow/builder.cc:67
_s = {state_ = 0x20}
to_alloc = 4
byte_capacity = 
#2  0x779584e0 in arrow::PrimitiveBuilder::Init (
this=0x7fffe640, capacity=32) at /arrow/cpp/src/arrow/builder.cc:233
_s = {state_ = 0x20}
nbytes = 
#3  0x77948b58 in arrow::PrimitiveBuilder::Resize (
this=0x7fffe640, capacity=32) at /arrow/cpp/src/arrow/builder.cc:253
_s = {state_ = 0x1}
#4  0x7793e7ab in arrow::ArrayBuilder::Reserve (
this=this@entry=0x7fffe640, elements=elements@entry=1)
at /arrow/cpp/src/arrow/builder.cc:113
No locals.
#5  0x0040168f in Append (val=1, this=0x7fffe640)
at /tmp/local-4.8/include/arrow/builder.h:276
_s = {state_ = 0x616848}
#6  main () at foo.cpp:10
pool = 
0x77dd91a0 
builder = { = 
{ = {
  _vptr.ArrayBuilder = 0x4024f0 +16>, type_ = std::shared_ptr (count 2, 
weak 0) 0x616848, 
  pool_ = 0x77dd91a0 
, null_bitmap_ = 
std::shared_ptr (count 1, weak 0) 0x616890, 
  null_count_ = 0, null_bitmap_data_ = 0x0, length_ = 0, 
  capacity_ = 0, children_ = std::vector of length 0, capacity 0}, 
data_ = std::shared_ptr (empty) 0x0, 
raw_data_ = 0x0}, }
buffer = 
(gdb) f 1
#1  0x77941490 in arrow::ArrayBuilder::Init (
this=this@entry=0x7fffe640, capacity=capacity@entry=32)
at /arrow/cpp/src/arrow/builder.cc:67
67RETURN_NOT_OK(null_bitmap_->Resize(to_alloc));
(gdb) list
62  }
63  
64  Status ArrayBuilder::Init(int64_t capacity) {
65int64_t to_alloc = BitUtil::CeilByte(capacity) / 8;
66null_bitmap_ = std::make_shared(pool_);
67RETURN_NOT_OK(null_bitmap_->Resize(to_alloc));
68// Buffers might allocate more then necessary to satisfy padding 
requirements
69const int64_t byte_capacity = null_bitmap_->capacity();
70capacity_ = capacity;
71null_bitmap_data_ = null_bitmap_->mutable_data();
(gdb) p to_alloc
$3 = 4
{noformat}

 I don't know why...

BTW, why do you want to use g++-4.9?

> [C++] Seg. fault on make_shared
> ---
>
> Key: ARROW-2189
> URL: https://issues.apache.org/jira/browse/ARROW-2189
> Project: Apache Arrow
>  Issue Type: Bug
>  Components: C++
>Affects Versions: 0.8.0
> Environment: Debian jessie in a Docker container
> libarrow-dev 0.8.0-2 (Ubuntu trusty)
>Reporter: Rares Vernica
>Priority: Major
> Attachments: Dockerfile, foo.cpp
>
>
> When creating a {{PoolBuffer}}, I get a {{Segmentation fault}} when I use 
> {{make_shared}}. If I use the {{shared_ptr}} constructor of {{reset}}, it 
> works fine. Here is an example:
> {code:java}
> #include 
> int main()
> {
> arrow::MemoryPool* pool = arrow::default_memory_pool();
> arrow::Int64Builder builder(pool);
> builder.Append(1);
> // #1
> // std::shared_ptr buffer(new arrow::PoolBuffer(pool));
> // #2
> // std::shared_ptr buffer;
> // buffer.reset(new arrow::PoolBuffer(pool));
> // #3
> auto buffer = std::make_shared(pool);
> }
> {code}
> {code:java}
> > g++-4.9 -std=c++11 -larrow foo.cpp && ./a.out
> Segmentation fault (core dumped)
> {code}
> The example works fine with {{#1}} or {{#2}} options. It also works if the 
> builder is commented out.



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[jira] [Created] (ARROW-2376) [Rust] Travis should run tests for Rust library

2018-04-01 Thread Andy Grove (JIRA)

Andy Grove created ARROW-2376:
-

 Summary: [Rust] Travis should run tests for Rust library
 Key: ARROW-2376
 URL: https://issues.apache.org/jira/browse/ARROW-2376
 Project: Apache Arrow
  Issue Type: Improvement
  Components: Rust
Reporter: Andy Grove
Assignee: Andy Grove


We need travis to build the Rust library and run tests so that future PRs do 
not introduce regressions.

 

PR: https://github.com/apache/arrow/pull/1819



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[jira] [Updated] (ARROW-2375) [Rust] Buffer should release memory when dropped

2018-04-01 Thread Andy Grove (JIRA)


 [ 
https://issues.apache.org/jira/browse/ARROW-2375?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Andy Grove updated ARROW-2375:
--
Labels: pull-request-available  (was: )

> [Rust] Buffer should release memory when dropped
> 
>
> Key: ARROW-2375
> URL: https://issues.apache.org/jira/browse/ARROW-2375
> Project: Apache Arrow
>  Issue Type: Bug
>  Components: Rust
>Reporter: Andy Grove
>Assignee: Andy Grove
>Priority: Major
>  Labels: pull-request-available
>
> The initial PR failed to implement Drop for Buffer meaning that memory is 
> never deallocated.
> Here is a PR to resolve this: https://github.com/apache/arrow/pull/1821



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[jira] [Commented] (ARROW-1325) [R] Bootstrap R bindings subproject

2018-04-01 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/ARROW-1325?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16421821#comment-16421821
 ] 

ASF GitHub Bot commented on ARROW-1325:
---

wesm commented on a change in pull request #1815: ARROW-1325: [R] Bootstrapping 
R bindings subproject
URL: https://github.com/apache/arrow/pull/1815#discussion_r178469306
 
 

 ##
 File path: r/src/metadata.cpp
 ##
 @@ -0,0 +1,215 @@
+#include 
+#include "rrrow_types.h"
+
+// [[Rcpp::plugins(cpp11)]]
+
+using namespace Rcpp ;
+
+template 
+xptr_DataType metadata( const std::shared_ptr& ptr, String... 
strings ){
+  xptr_DataType res( new std::shared_ptr(ptr) ) ;
+  res.attr("class") = CharacterVector::create( ptr->name(), strings... ) ;
+  return res ;
+}
+
+xptr_DataType metadata_integer( const std::shared_ptr& ptr ){
+  return metadata( ptr, "arrow::Integer", "arrow::Number", 
"arrow::PrimitiveCType", "arrow::FixedWidthType", "arrow::DataType" ) ;
 
 Review comment:
   See https://github.com/apache/arrow/blob/master/cpp/.clang-format. These 
files do not conform to the C++ code formatting used in the rest of the project


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> [R] Bootstrap R bindings subproject
> ---
>
> Key: ARROW-1325
> URL: https://issues.apache.org/jira/browse/ARROW-1325
> Project: Apache Arrow
>  Issue Type: New Feature
>  Components: R
>Reporter: Clark Fitzgerald
>Assignee: Romain François
>Priority: Major
>  Labels: pull-request-available
> Fix For: 0.10.0
>
>
> The R language was designed to perform "Columnar in memory analytics". R / 
> Arrow bindings would be useful for:
> * better compatibility between R and other languages / big data systems
> * chunk-based data parallelism
> * portable and efficient IO via Parquet
> R has a C++ interface so the natural way to write these bindings is to 
> leverage Arrow's C++ library as much as possible.
> Feather provides a starting point: 
> [https://github.com/wesm/feather/tree/master/R].
> This can serve as an umbrella JIRA for work on R related tasks.



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[jira] [Updated] (ARROW-2375) [Rust] Buffer should release memory when dropped

2018-04-01 Thread Andy Grove (JIRA)


 [ 
https://issues.apache.org/jira/browse/ARROW-2375?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Andy Grove updated ARROW-2375:
--
Description: 
The initial PR failed to implement Drop for Buffer meaning that memory is 
never deallocated.

Here is a PR to resolve this: https://github.com/apache/arrow/pull/1821

  was:The initial PR failed to implement Drop for Buffer meaning that memory 
is never deallocated.


> [Rust] Buffer should release memory when dropped
> 
>
> Key: ARROW-2375
> URL: https://issues.apache.org/jira/browse/ARROW-2375
> Project: Apache Arrow
>  Issue Type: Bug
>  Components: Rust
>Reporter: Andy Grove
>Assignee: Andy Grove
>Priority: Major
>
> The initial PR failed to implement Drop for Buffer meaning that memory is 
> never deallocated.
> Here is a PR to resolve this: https://github.com/apache/arrow/pull/1821



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[jira] [Created] (ARROW-2375) [Rust] Buffer should release memory when dropped

2018-04-01 Thread Andy Grove (JIRA)

Andy Grove created ARROW-2375:
-

 Summary: [Rust] Buffer should release memory when dropped
 Key: ARROW-2375
 URL: https://issues.apache.org/jira/browse/ARROW-2375
 Project: Apache Arrow
  Issue Type: Bug
  Components: Rust
Reporter: Andy Grove
Assignee: Andy Grove


The initial PR failed to implement Drop for Buffer meaning that memory is 
never deallocated.



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[jira] [Commented] (ARROW-2122) [Python] Pyarrow fails to serialize dataframe with timestamp.

2018-04-01 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/ARROW-2122?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16421775#comment-16421775
 ] 

ASF GitHub Bot commented on ARROW-2122:
---

adshieh commented on a change in pull request #1707: ARROW-2122: [Python] 
Pyarrow fails to serialize dataframe with timestamp.
URL: https://github.com/apache/arrow/pull/1707#discussion_r178466966
 
 

 ##
 File path: python/pyarrow/types.pxi
 ##
 @@ -847,6 +847,25 @@ cdef timeunit_to_string(TimeUnit unit):
 return 'ns'
 
 
+FIXED_OFFSET_PREFIX = '+'
+
+
+def tzinfo_to_string(tz):
 
 Review comment:
   Done!


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> [Python] Pyarrow fails to serialize dataframe with timestamp.
> -
>
> Key: ARROW-2122
> URL: https://issues.apache.org/jira/browse/ARROW-2122
> Project: Apache Arrow
>  Issue Type: Bug
>  Components: Python
>Reporter: Robert Nishihara
>Assignee: Albert Shieh
>Priority: Major
>  Labels: pull-request-available
> Fix For: 0.10.0
>
>
> The bug can be reproduced as follows.
> {code:java}
> import pyarrow as pa
> import pandas as pd
> df = pd.DataFrame({'A': [pd.Timestamp('2012-11-11 00:00:00+01:00'), pd.NaT]}) 
> s = pa.serialize(df).to_buffer()
> new_df = pa.deserialize(s) # this fails{code}
> The last line fails with
> {code:java}
> Traceback (most recent call last):
>   File "", line 1, in 
>   File "serialization.pxi", line 441, in pyarrow.lib.deserialize
>   File "serialization.pxi", line 404, in pyarrow.lib.deserialize_from
>   File "serialization.pxi", line 257, in 
> pyarrow.lib.SerializedPyObject.deserialize
>   File "serialization.pxi", line 174, in 
> pyarrow.lib.SerializationContext._deserialize_callback
>   File "/home/ubuntu/arrow/python/pyarrow/serialization.py", line 77, in 
> _deserialize_pandas_dataframe
>     return pdcompat.serialized_dict_to_dataframe(data)
>   File "/home/ubuntu/arrow/python/pyarrow/pandas_compat.py", line 446, in 
> serialized_dict_to_dataframe
>     for block in data['blocks']]
>   File "/home/ubuntu/arrow/python/pyarrow/pandas_compat.py", line 446, in 
> 
>     for block in data['blocks']]
>   File "/home/ubuntu/arrow/python/pyarrow/pandas_compat.py", line 466, in 
> _reconstruct_block
>     dtype = _make_datetimetz(item['timezone'])
>   File "/home/ubuntu/arrow/python/pyarrow/pandas_compat.py", line 481, in 
> _make_datetimetz
>     return DatetimeTZDtype('ns', tz=tz)
>   File 
> "/home/ubuntu/anaconda3/lib/python3.5/site-packages/pandas/core/dtypes/dtypes.py",
>  line 409, in __new__
>     raise ValueError("DatetimeTZDtype constructor must have a tz "
> ValueError: DatetimeTZDtype constructor must have a tz supplied{code}
>  



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[jira] [Commented] (ARROW-2122) [Python] Pyarrow fails to serialize dataframe with timestamp.

2018-04-01 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/ARROW-2122?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16421776#comment-16421776
 ] 

ASF GitHub Bot commented on ARROW-2122:
---

adshieh commented on a change in pull request #1707: ARROW-2122: [Python] 
Pyarrow fails to serialize dataframe with timestamp.
URL: https://github.com/apache/arrow/pull/1707#discussion_r178466968
 
 

 ##
 File path: python/pyarrow/tests/test_convert_pandas.py
 ##
 @@ -1001,6 +1001,17 @@ def test_array_from_pandas_date_with_mask(self):
 assert pa.Array.from_pandas(expected).equals(result)
 
 
+def test_fixed_offset_timezone():
 
 Review comment:
   Done!


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> [Python] Pyarrow fails to serialize dataframe with timestamp.
> -
>
> Key: ARROW-2122
> URL: https://issues.apache.org/jira/browse/ARROW-2122
> Project: Apache Arrow
>  Issue Type: Bug
>  Components: Python
>Reporter: Robert Nishihara
>Assignee: Albert Shieh
>Priority: Major
>  Labels: pull-request-available
> Fix For: 0.10.0
>
>
> The bug can be reproduced as follows.
> {code:java}
> import pyarrow as pa
> import pandas as pd
> df = pd.DataFrame({'A': [pd.Timestamp('2012-11-11 00:00:00+01:00'), pd.NaT]}) 
> s = pa.serialize(df).to_buffer()
> new_df = pa.deserialize(s) # this fails{code}
> The last line fails with
> {code:java}
> Traceback (most recent call last):
>   File "", line 1, in 
>   File "serialization.pxi", line 441, in pyarrow.lib.deserialize
>   File "serialization.pxi", line 404, in pyarrow.lib.deserialize_from
>   File "serialization.pxi", line 257, in 
> pyarrow.lib.SerializedPyObject.deserialize
>   File "serialization.pxi", line 174, in 
> pyarrow.lib.SerializationContext._deserialize_callback
>   File "/home/ubuntu/arrow/python/pyarrow/serialization.py", line 77, in 
> _deserialize_pandas_dataframe
>     return pdcompat.serialized_dict_to_dataframe(data)
>   File "/home/ubuntu/arrow/python/pyarrow/pandas_compat.py", line 446, in 
> serialized_dict_to_dataframe
>     for block in data['blocks']]
>   File "/home/ubuntu/arrow/python/pyarrow/pandas_compat.py", line 446, in 
> 
>     for block in data['blocks']]
>   File "/home/ubuntu/arrow/python/pyarrow/pandas_compat.py", line 466, in 
> _reconstruct_block
>     dtype = _make_datetimetz(item['timezone'])
>   File "/home/ubuntu/arrow/python/pyarrow/pandas_compat.py", line 481, in 
> _make_datetimetz
>     return DatetimeTZDtype('ns', tz=tz)
>   File 
> "/home/ubuntu/anaconda3/lib/python3.5/site-packages/pandas/core/dtypes/dtypes.py",
>  line 409, in __new__
>     raise ValueError("DatetimeTZDtype constructor must have a tz "
> ValueError: DatetimeTZDtype constructor must have a tz supplied{code}
>  



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[jira] [Commented] (ARROW-2122) [Python] Pyarrow fails to serialize dataframe with timestamp.

2018-04-01 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/ARROW-2122?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16421774#comment-16421774
 ] 

ASF GitHub Bot commented on ARROW-2122:
---

adshieh commented on a change in pull request #1707: ARROW-2122: [Python] 
Pyarrow fails to serialize dataframe with timestamp.
URL: https://github.com/apache/arrow/pull/1707#discussion_r178466964
 
 

 ##
 File path: python/pyarrow/types.pxi
 ##
 @@ -847,6 +847,25 @@ cdef timeunit_to_string(TimeUnit unit):
 return 'ns'
 
 
+FIXED_OFFSET_PREFIX = '+'
 
 Review comment:
   Done!


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> [Python] Pyarrow fails to serialize dataframe with timestamp.
> -
>
> Key: ARROW-2122
> URL: https://issues.apache.org/jira/browse/ARROW-2122
> Project: Apache Arrow
>  Issue Type: Bug
>  Components: Python
>Reporter: Robert Nishihara
>Assignee: Albert Shieh
>Priority: Major
>  Labels: pull-request-available
> Fix For: 0.10.0
>
>
> The bug can be reproduced as follows.
> {code:java}
> import pyarrow as pa
> import pandas as pd
> df = pd.DataFrame({'A': [pd.Timestamp('2012-11-11 00:00:00+01:00'), pd.NaT]}) 
> s = pa.serialize(df).to_buffer()
> new_df = pa.deserialize(s) # this fails{code}
> The last line fails with
> {code:java}
> Traceback (most recent call last):
>   File "", line 1, in 
>   File "serialization.pxi", line 441, in pyarrow.lib.deserialize
>   File "serialization.pxi", line 404, in pyarrow.lib.deserialize_from
>   File "serialization.pxi", line 257, in 
> pyarrow.lib.SerializedPyObject.deserialize
>   File "serialization.pxi", line 174, in 
> pyarrow.lib.SerializationContext._deserialize_callback
>   File "/home/ubuntu/arrow/python/pyarrow/serialization.py", line 77, in 
> _deserialize_pandas_dataframe
>     return pdcompat.serialized_dict_to_dataframe(data)
>   File "/home/ubuntu/arrow/python/pyarrow/pandas_compat.py", line 446, in 
> serialized_dict_to_dataframe
>     for block in data['blocks']]
>   File "/home/ubuntu/arrow/python/pyarrow/pandas_compat.py", line 446, in 
> 
>     for block in data['blocks']]
>   File "/home/ubuntu/arrow/python/pyarrow/pandas_compat.py", line 466, in 
> _reconstruct_block
>     dtype = _make_datetimetz(item['timezone'])
>   File "/home/ubuntu/arrow/python/pyarrow/pandas_compat.py", line 481, in 
> _make_datetimetz
>     return DatetimeTZDtype('ns', tz=tz)
>   File 
> "/home/ubuntu/anaconda3/lib/python3.5/site-packages/pandas/core/dtypes/dtypes.py",
>  line 409, in __new__
>     raise ValueError("DatetimeTZDtype constructor must have a tz "
> ValueError: DatetimeTZDtype constructor must have a tz supplied{code}
>  



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[jira] [Commented] (ARROW-2014) [Python] Document read_pandas method in pyarrow.parquet

2018-04-01 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/ARROW-2014?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16421762#comment-16421762
 ] 

ASF GitHub Bot commented on ARROW-2014:
---

AlexHagerman opened a new pull request #1820: ARROW-2014: [Python] Document 
read_pandas method in pyarrow.parquet
URL: https://github.com/apache/arrow/pull/1820
 
 
   Added read_pandas to the parquet documentation. Added a custom index to show 
that it is maintained when providing a subset of columns to read_pandas.


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> [Python] Document read_pandas method in pyarrow.parquet
> ---
>
> Key: ARROW-2014
> URL: https://issues.apache.org/jira/browse/ARROW-2014
> Project: Apache Arrow
>  Issue Type: Improvement
>  Components: Python
>Reporter: Wes McKinney
>Assignee: Phillip Cloud
>Priority: Major
>  Labels: pull-request-available
> Fix For: 0.10.0
>
>
> see discussion in https://github.com/apache/arrow/issues/1302



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[jira] [Updated] (ARROW-2014) [Python] Document read_pandas method in pyarrow.parquet

2018-04-01 Thread ASF GitHub Bot (JIRA)


 [ 
https://issues.apache.org/jira/browse/ARROW-2014?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

ASF GitHub Bot updated ARROW-2014:
--
Labels: pull-request-available  (was: )

> [Python] Document read_pandas method in pyarrow.parquet
> ---
>
> Key: ARROW-2014
> URL: https://issues.apache.org/jira/browse/ARROW-2014
> Project: Apache Arrow
>  Issue Type: Improvement
>  Components: Python
>Reporter: Wes McKinney
>Assignee: Phillip Cloud
>Priority: Major
>  Labels: pull-request-available
> Fix For: 0.10.0
>
>
> see discussion in https://github.com/apache/arrow/issues/1302



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[jira] [Commented] (ARROW-1325) [R] Bootstrap R bindings subproject

2018-04-01 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/ARROW-1325?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16421715#comment-16421715
 ] 

ASF GitHub Bot commented on ARROW-1325:
---

romainfrancois commented on a change in pull request #1815: ARROW-1325: [R] 
Bootstrapping R bindings subproject
URL: https://github.com/apache/arrow/pull/1815#discussion_r178462473
 
 

 ##
 File path: r/src/metadata.cpp
 ##
 @@ -0,0 +1,215 @@
+#include 
+#include "rrrow_types.h"
+
+// [[Rcpp::plugins(cpp11)]]
+
+using namespace Rcpp ;
+
+template 
+xptr_DataType metadata( const std::shared_ptr& ptr, String... 
strings ){
+  xptr_DataType res( new std::shared_ptr(ptr) ) ;
+  res.attr("class") = CharacterVector::create( ptr->name(), strings... ) ;
+  return res ;
+}
+
+xptr_DataType metadata_integer( const std::shared_ptr& ptr ){
+  return metadata( ptr, "arrow::Integer", "arrow::Number", 
"arrow::PrimitiveCType", "arrow::FixedWidthType", "arrow::DataType" ) ;
 
 Review comment:
   Not sure what you mean


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> [R] Bootstrap R bindings subproject
> ---
>
> Key: ARROW-1325
> URL: https://issues.apache.org/jira/browse/ARROW-1325
> Project: Apache Arrow
>  Issue Type: New Feature
>  Components: R
>Reporter: Clark Fitzgerald
>Assignee: Romain François
>Priority: Major
>  Labels: pull-request-available
> Fix For: 0.10.0
>
>
> The R language was designed to perform "Columnar in memory analytics". R / 
> Arrow bindings would be useful for:
> * better compatibility between R and other languages / big data systems
> * chunk-based data parallelism
> * portable and efficient IO via Parquet
> R has a C++ interface so the natural way to write these bindings is to 
> leverage Arrow's C++ library as much as possible.
> Feather provides a starting point: 
> [https://github.com/wesm/feather/tree/master/R].
> This can serve as an umbrella JIRA for work on R related tasks.



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[jira] [Commented] (ARROW-1325) [R] Bootstrap R bindings subproject

2018-04-01 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/ARROW-1325?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16421712#comment-16421712
 ] 

ASF GitHub Bot commented on ARROW-1325:
---

romainfrancois commented on a change in pull request #1815: ARROW-1325: [R] 
Bootstrapping R bindings subproject
URL: https://github.com/apache/arrow/pull/1815#discussion_r178462392
 
 

 ##
 File path: r/README.Rmd
 ##
 @@ -0,0 +1,69 @@
+---
+output: github_document
+---
+
+
+
+```{r setup, include = FALSE}
+knitr::opts_chunk$set(
+  collapse = TRUE,
+  comment = "#>",
+  fig.path = "man/figures/README-",
+  out.width = "100%"
+)
+```
+# rrrow
+
+rrrow is an R front end to Apache Arrow. 
+
+## Installation
+
+I've only tested this locally for now, here is how I install it, borrowed
 
 Review comment:
   done


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> [R] Bootstrap R bindings subproject
> ---
>
> Key: ARROW-1325
> URL: https://issues.apache.org/jira/browse/ARROW-1325
> Project: Apache Arrow
>  Issue Type: New Feature
>  Components: R
>Reporter: Clark Fitzgerald
>Assignee: Romain François
>Priority: Major
>  Labels: pull-request-available
> Fix For: 0.10.0
>
>
> The R language was designed to perform "Columnar in memory analytics". R / 
> Arrow bindings would be useful for:
> * better compatibility between R and other languages / big data systems
> * chunk-based data parallelism
> * portable and efficient IO via Parquet
> R has a C++ interface so the natural way to write these bindings is to 
> leverage Arrow's C++ library as much as possible.
> Feather provides a starting point: 
> [https://github.com/wesm/feather/tree/master/R].
> This can serve as an umbrella JIRA for work on R related tasks.



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[jira] [Commented] (ARROW-1325) [R] Bootstrap R bindings subproject

2018-04-01 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/ARROW-1325?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16421711#comment-16421711
 ] 

ASF GitHub Bot commented on ARROW-1325:
---

romainfrancois commented on a change in pull request #1815: ARROW-1325: [R] 
Bootstrapping R bindings subproject
URL: https://github.com/apache/arrow/pull/1815#discussion_r178462391
 
 

 ##
 File path: r/README.Rmd
 ##
 @@ -0,0 +1,69 @@
+---
+output: github_document
+---
+
+
+
+```{r setup, include = FALSE}
+knitr::opts_chunk$set(
+  collapse = TRUE,
+  comment = "#>",
+  fig.path = "man/figures/README-",
+  out.width = "100%"
+)
+```
+# rrrow
+
+rrrow is an R front end to Apache Arrow. 
+
+## Installation
+
+I've only tested this locally for now, here is how I install it, borrowed
+from [rarrow](https://github.com/jimhester/rarrow). 
+
+First you need the Arrow C++ library installed
+
+```
+git clone https://github.com/apache/arrow.git
+cd arrow/cpp && mkdir release && cd release
+
+# It is important to statically link to boost libraries
+cmake .. -DCMAKE_BUILD_TYPE=Release -DARROW_BOOST_USE_SHARED:BOOL=Off
 
 Review comment:
   yes definitely. This is wip, I preferred having something that "worked for 
me" first to get started. 


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> [R] Bootstrap R bindings subproject
> ---
>
> Key: ARROW-1325
> URL: https://issues.apache.org/jira/browse/ARROW-1325
> Project: Apache Arrow
>  Issue Type: New Feature
>  Components: R
>Reporter: Clark Fitzgerald
>Assignee: Romain François
>Priority: Major
>  Labels: pull-request-available
> Fix For: 0.10.0
>
>
> The R language was designed to perform "Columnar in memory analytics". R / 
> Arrow bindings would be useful for:
> * better compatibility between R and other languages / big data systems
> * chunk-based data parallelism
> * portable and efficient IO via Parquet
> R has a C++ interface so the natural way to write these bindings is to 
> leverage Arrow's C++ library as much as possible.
> Feather provides a starting point: 
> [https://github.com/wesm/feather/tree/master/R].
> This can serve as an umbrella JIRA for work on R related tasks.



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[jira] [Commented] (ARROW-1325) [R] Bootstrap R bindings subproject

2018-04-01 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/ARROW-1325?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16421710#comment-16421710
 ] 

ASF GitHub Bot commented on ARROW-1325:
---

romainfrancois commented on a change in pull request #1815: ARROW-1325: [R] 
Bootstrapping R bindings subproject
URL: https://github.com/apache/arrow/pull/1815#discussion_r178462361
 
 

 ##
 File path: r/LICENSE.md
 ##
 @@ -0,0 +1,194 @@
+Apache License
+==
+
+_Version 2.0, January 2004_
+__
+
+### Terms and Conditions for use, reproduction, and distribution
+
+ 1. Definitions
+
+“License” shall mean the terms and conditions for use, reproduction, and
+distribution as defined by Sections 1 through 9 of this document.
+
+“Licensor” shall mean the copyright owner or entity authorized by the copyright
+owner that is granting the License.
+
+“Legal Entity” shall mean the union of the acting entity and all other entities
+that control, are controlled by, or are under common control with that entity.
+For the purposes of this definition, “control” means **(i)** the power, direct 
or
+indirect, to cause the direction or management of such entity, whether by
+contract or otherwise, or **(ii)** ownership of fifty percent (50%) or more of 
the
+outstanding shares, or **(iii)** beneficial ownership of such entity.
+
+“You” (or “Your”) shall mean an individual or Legal Entity exercising
+permissions granted by this License.
+
+“Source” form shall mean the preferred form for making modifications, including
+but not limited to software source code, documentation source, and 
configuration
+files.
+
+“Object” form shall mean any form resulting from mechanical transformation or
+translation of a Source form, including but not limited to compiled object 
code,
+generated documentation, and conversions to other media types.
+
+“Work” shall mean the work of authorship, whether in Source or Object form, 
made
+available under the License, as indicated by a copyright notice that is 
included
+in or attached to the work (an example is provided in the Appendix below).
+
+“Derivative Works” shall mean any work, whether in Source or Object form, that
+is based on (or derived from) the Work and for which the editorial revisions,
+annotations, elaborations, or other modifications represent, as a whole, an
+original work of authorship. For the purposes of this License, Derivative Works
+shall not include works that remain separable from, or merely link (or bind by
+name) to the interfaces of, the Work and Derivative Works thereof.
+
+“Contribution” shall mean any work of authorship, including the original 
version
+of the Work and any modifications or additions to that Work or Derivative Works
+thereof, that is intentionally submitted to Licensor for inclusion in the Work
+by the copyright owner or by an individual or Legal Entity authorized to submit
+on behalf of the copyright owner. For the purposes of this definition,
+“submitted” means any form of electronic, verbal, or written communication sent
+to the Licensor or its representatives, including but not limited to
+communication on electronic mailing lists, source code control systems, and
+issue tracking systems that are managed by, or on behalf of, the Licensor for
+the purpose of discussing and improving the Work, but excluding communication
+that is conspicuously marked or otherwise designated in writing by the 
copyright
+owner as “Not a Contribution.”
+
+“Contributor” shall mean Licensor and any individual or Legal Entity on behalf
+of whom a Contribution has been received by Licensor and subsequently
+incorporated within the Work.
+
+ 2. Grant of Copyright License
+
+Subject to the terms and conditions of this License, each Contributor hereby
+grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free,
+irrevocable copyright license to reproduce, prepare Derivative Works of,
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[jira] [Commented] (ARROW-1325) [R] Bootstrap R bindings subproject

2018-04-01 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/ARROW-1325?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16421707#comment-16421707
 ] 

ASF GitHub Bot commented on ARROW-1325:
---

romainfrancois commented on a change in pull request #1815: ARROW-1325: [R] 
Bootstrapping R bindings subproject
URL: https://github.com/apache/arrow/pull/1815#discussion_r178462290
 
 

 ##
 File path: r/DESCRIPTION
 ##
 @@ -0,0 +1,22 @@
+Package: rrrow
+Title: Bindings to 'Apache' 'Arrow'
+Version: 0.0.0.9000
+Authors@R: c(
+person("Romain", "François", email = "rom...@purrple.cat", role = c("aut", 
"cre"))
 
 Review comment:
   done, added the ASF as an author and copyright holder


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> [R] Bootstrap R bindings subproject
> ---
>
> Key: ARROW-1325
> URL: https://issues.apache.org/jira/browse/ARROW-1325
> Project: Apache Arrow
>  Issue Type: New Feature
>  Components: R
>Reporter: Clark Fitzgerald
>Assignee: Romain François
>Priority: Major
>  Labels: pull-request-available
> Fix For: 0.10.0
>
>
> The R language was designed to perform "Columnar in memory analytics". R / 
> Arrow bindings would be useful for:
> * better compatibility between R and other languages / big data systems
> * chunk-based data parallelism
> * portable and efficient IO via Parquet
> R has a C++ interface so the natural way to write these bindings is to 
> leverage Arrow's C++ library as much as possible.
> Feather provides a starting point: 
> [https://github.com/wesm/feather/tree/master/R].
> This can serve as an umbrella JIRA for work on R related tasks.



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[jira] [Commented] (ARROW-1325) [R] Bootstrap R bindings subproject

2018-04-01 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/ARROW-1325?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16421697#comment-16421697
 ] 

ASF GitHub Bot commented on ARROW-1325:
---

russellpierce commented on a change in pull request #1815: ARROW-1325: [R] 
Bootstrapping R bindings subproject
URL: https://github.com/apache/arrow/pull/1815#discussion_r178461709
 
 

 ##
 File path: r/DESCRIPTION
 ##
 @@ -0,0 +1,22 @@
+Package: rrrow
 
 Review comment:
   As a R user in the peanut gallery, I think "arrow" seems great. Especially 
if there isn't a namespace collision on CRAN or bioconductor (I didn't notice 
any with a quick look). For example {tensorflow} and {docker} carry directly 
over from Python, so it makes them easy to remember.


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> [R] Bootstrap R bindings subproject
> ---
>
> Key: ARROW-1325
> URL: https://issues.apache.org/jira/browse/ARROW-1325
> Project: Apache Arrow
>  Issue Type: New Feature
>  Components: R
>Reporter: Clark Fitzgerald
>Assignee: Romain François
>Priority: Major
>  Labels: pull-request-available
> Fix For: 0.10.0
>
>
> The R language was designed to perform "Columnar in memory analytics". R / 
> Arrow bindings would be useful for:
> * better compatibility between R and other languages / big data systems
> * chunk-based data parallelism
> * portable and efficient IO via Parquet
> R has a C++ interface so the natural way to write these bindings is to 
> leverage Arrow's C++ library as much as possible.
> Feather provides a starting point: 
> [https://github.com/wesm/feather/tree/master/R].
> This can serve as an umbrella JIRA for work on R related tasks.



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[jira] [Resolved] (ARROW-2371) [GLib] gio-2.0 isn't required on GNU Autotools build

2018-04-01 Thread Uwe L. Korn (JIRA)


 [ 
https://issues.apache.org/jira/browse/ARROW-2371?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Uwe L. Korn resolved ARROW-2371.

Resolution: Fixed

Issue resolved by pull request 1813
[https://github.com/apache/arrow/pull/1813]

> [GLib] gio-2.0 isn't required on GNU Autotools build
> 
>
> Key: ARROW-2371
> URL: https://issues.apache.org/jira/browse/ARROW-2371
> Project: Apache Arrow
>  Issue Type: Bug
>  Components: GLib
>Affects Versions: 0.9.0
>Reporter: Kouhei Sutou
>Assignee: Kouhei Sutou
>Priority: Minor
>  Labels: pull-request-available
> Fix For: 0.10.0
>
>




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[jira] [Commented] (ARROW-2371) [GLib] gio-2.0 isn't required on GNU Autotools build

2018-04-01 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/ARROW-2371?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16421617#comment-16421617
 ] 

ASF GitHub Bot commented on ARROW-2371:
---

xhochy closed pull request #1813: ARROW-2371: [GLib] Update "Requires" in .pc 
on GNU Autotools build
URL: https://github.com/apache/arrow/pull/1813
 
 
   

This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
the sake of provenance:

As this is a foreign pull request (from a fork), the diff is supplied
below (as it won't show otherwise due to GitHub magic):

diff --git a/c_glib/arrow-glib/arrow-glib.pc.in 
b/c_glib/arrow-glib/arrow-glib.pc.in
index f9f27b249..e4ccba997 100644
--- a/c_glib/arrow-glib/arrow-glib.pc.in
+++ b/c_glib/arrow-glib/arrow-glib.pc.in
@@ -25,4 +25,4 @@ Description: C API for Apache Arrow based on GLib
 Version: @VERSION@
 Libs: -L${libdir} -larrow-glib
 Cflags: -I${includedir}
-Requires: gobject-2.0 arrow
+Requires: gio-2.0 arrow


 


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> [GLib] gio-2.0 isn't required on GNU Autotools build
> 
>
> Key: ARROW-2371
> URL: https://issues.apache.org/jira/browse/ARROW-2371
> Project: Apache Arrow
>  Issue Type: Bug
>  Components: GLib
>Affects Versions: 0.9.0
>Reporter: Kouhei Sutou
>Assignee: Kouhei Sutou
>Priority: Minor
>  Labels: pull-request-available
> Fix For: 0.10.0
>
>




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[jira] [Resolved] (ARROW-2370) [GLib] include path is wrong on Meson build

2018-04-01 Thread Uwe L. Korn (JIRA)


 [ 
https://issues.apache.org/jira/browse/ARROW-2370?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Uwe L. Korn resolved ARROW-2370.

Resolution: Fixed

Issue resolved by pull request 1812
[https://github.com/apache/arrow/pull/1812]

> [GLib] include path is wrong on Meson build
> ---
>
> Key: ARROW-2370
> URL: https://issues.apache.org/jira/browse/ARROW-2370
> Project: Apache Arrow
>  Issue Type: Bug
>  Components: GLib
>Affects Versions: 0.9.0
>Reporter: Kouhei Sutou
>Assignee: Kouhei Sutou
>Priority: Minor
>  Labels: pull-request-available
> Fix For: 0.10.0
>
>




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[jira] [Commented] (ARROW-2370) [GLib] include path is wrong on Meson build

2018-04-01 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/ARROW-2370?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16421614#comment-16421614
 ] 

ASF GitHub Bot commented on ARROW-2370:
---

xhochy closed pull request #1812: ARROW-2370: [GLib] Fix include path in .pc on 
Meson build
URL: https://github.com/apache/arrow/pull/1812
 
 
   

This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
the sake of provenance:

As this is a foreign pull request (from a fork), the diff is supplied
below (as it won't show otherwise due to GitHub magic):

diff --git a/c_glib/arrow-glib/meson.build b/c_glib/arrow-glib/meson.build
index 25968e69c..699489ffe 100644
--- a/c_glib/arrow-glib/meson.build
+++ b/c_glib/arrow-glib/meson.build
@@ -184,8 +184,7 @@ pkgconfig.generate(filebase: meson.project_name(),
description: 'C API for Apache Arrow based on GLib',
version: version,
requires: ['gio-2.0', 'arrow'],
-   libraries: [libarrow_glib],
-   subdirs: ['arrow-glib'])
+   libraries: [libarrow_glib])
 
 arrow_glib_gir = gnome.generate_gir(libarrow_glib,
 sources: sources + c_headers + enums,
diff --git a/c_glib/arrow-gpu-glib/meson.build 
b/c_glib/arrow-gpu-glib/meson.build
index 00c7f079d..5b2128601 100644
--- a/c_glib/arrow-gpu-glib/meson.build
+++ b/c_glib/arrow-gpu-glib/meson.build
@@ -59,8 +59,7 @@ pkgconfig.generate(filebase: 'arrow-gpu-glib',
description: 'C API for Apache Arrow GPU based on GLib',
version: version,
requires: ['arrow-glib', 'arrow-gpu'],
-   libraries: [libarrow_gpu_glib],
-   subdirs: ['arrow-gpu-glib'])
+   libraries: [libarrow_gpu_glib])
 
 gnome.generate_gir(libarrow_gpu_glib,
dependencies: arrow_glib_gir_dependency,


 


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> [GLib] include path is wrong on Meson build
> ---
>
> Key: ARROW-2370
> URL: https://issues.apache.org/jira/browse/ARROW-2370
> Project: Apache Arrow
>  Issue Type: Bug
>  Components: GLib
>Affects Versions: 0.9.0
>Reporter: Kouhei Sutou
>Assignee: Kouhei Sutou
>Priority: Minor
>  Labels: pull-request-available
> Fix For: 0.10.0
>
>




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[GitHub] xhochy commented on issue #25: Fix OSX RPATHs for Boost

2018-04-01 Thread GitBox

xhochy commented on issue #25: Fix OSX RPATHs for Boost
URL: https://github.com/apache/arrow-dist/pull/25#issuecomment-33355
 
 
   I still need to incorporate @cpcloud comments and we also will need to set 
`SETUPTOOLS_SCM_PRETEND_VERSION=0.9.0.post1` as we cannot reupload `0.9.0` 
again to PyPI. I should have some time for that tomorrow evening.


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[jira] [Commented] (ARROW-2189) [C++] Seg. fault on make_shared

[jira] [Commented] (ARROW-2189) [C++] Seg. fault on make_shared

[jira] [Created] (ARROW-2376) [Rust] Travis should run tests for Rust library

[jira] [Updated] (ARROW-2375) [Rust] Buffer should release memory when dropped

[jira] [Commented] (ARROW-1325) [R] Bootstrap R bindings subproject

[jira] [Updated] (ARROW-2375) [Rust] Buffer should release memory when dropped

[jira] [Created] (ARROW-2375) [Rust] Buffer should release memory when dropped

[jira] [Commented] (ARROW-2122) [Python] Pyarrow fails to serialize dataframe with timestamp.

[jira] [Commented] (ARROW-2122) [Python] Pyarrow fails to serialize dataframe with timestamp.

[jira] [Commented] (ARROW-2122) [Python] Pyarrow fails to serialize dataframe with timestamp.

[jira] [Commented] (ARROW-2014) [Python] Document read_pandas method in pyarrow.parquet

[jira] [Updated] (ARROW-2014) [Python] Document read_pandas method in pyarrow.parquet

[jira] [Commented] (ARROW-1325) [R] Bootstrap R bindings subproject

[jira] [Commented] (ARROW-1325) [R] Bootstrap R bindings subproject

[jira] [Commented] (ARROW-1325) [R] Bootstrap R bindings subproject

[jira] [Commented] (ARROW-1325) [R] Bootstrap R bindings subproject

[jira] [Commented] (ARROW-1325) [R] Bootstrap R bindings subproject

[jira] [Commented] (ARROW-1325) [R] Bootstrap R bindings subproject

[jira] [Resolved] (ARROW-2371) [GLib] gio-2.0 isn't required on GNU Autotools build

[jira] [Commented] (ARROW-2371) [GLib] gio-2.0 isn't required on GNU Autotools build

[jira] [Resolved] (ARROW-2370) [GLib] include path is wrong on Meson build

[jira] [Commented] (ARROW-2370) [GLib] include path is wrong on Meson build

[GitHub] xhochy commented on issue #25: Fix OSX RPATHs for Boost

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