[jira] [Created] (ARROW-7942) [C++][Parquet] Examine Arrow-decoding perf regressions introduced by PARQUET-1797
Wes McKinney created ARROW-7942: --- Summary: [C++][Parquet] Examine Arrow-decoding perf regressions introduced by PARQUET-1797 Key: ARROW-7942 URL: https://issues.apache.org/jira/browse/ARROW-7942 Project: Apache Arrow Issue Type: Improvement Components: C++ Reporter: Wes McKinney See discussion at https://github.com/apache/arrow/pull/6440#issuecomment-591053705 -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Created] (ARROW-7941) [Rust] Logical plan should refer to columns by name not index
Andy Grove created ARROW-7941: - Summary: [Rust] Logical plan should refer to columns by name not index Key: ARROW-7941 URL: https://issues.apache.org/jira/browse/ARROW-7941 Project: Apache Arrow Issue Type: Improvement Components: Rust, Rust - DataFusion Affects Versions: 0.16.0 Reporter: Andy Grove Assignee: Andy Grove Fix For: 1.0.0 I made a mistake in the design of the logical plan. It is better to refer to columns by name rather than index. Benefits of making this change: * Allows for support for schemaless data sources e.g. JSON * Reduces the complexity of the optimizer rules -- This message was sent by Atlassian Jira (v8.3.4#803005)
Re: [DISCUSS] Flight testing inconsistency for empty batches
Hey Bryan, Thanks for looking into this issue. I would vote that we should validate each batch independently, so we can catch issues related to the structure of the data and not just the content. C++ doesn't do any detection of empty batches per se, but on both ends it reads all the data into a table, which would eliminate any empty batches. It also wouldn't be reasonable to stop sending batches that are empty, because Flight lets you attach metadata to batches, and so an empty batch might still have metadata that the client or server wants. Best, David On 2/24/20, Bryan Cutler wrote: > While looking into Null type testing for ARROW-7899, a couple small issues > came up regarding Flight integration testing with empty batches (row count > == 0) that could be worked out with a quick discussion. It seems there is a > small difference between the C++ and Java Flight servers when there are > empty record batches at the end of a stream, more details in PR > https://github.com/apache/arrow/pull/6476. > > The Java server sends all record batches, even the empty ones, and the test > client verifies each of these batches matches the batches read from a JSON > file. The C++ servers seems to recognize if the end of the stream is only > empty batches (please correct me if I'm wrong) and will not serve them. > This seems reasonable, as there is no more actual data left in the stream. > The C++ test client reads all batches into a table, does the same for the > JSON file, and compares final Tables. I also noticed that empty batches in > the middle of the stream will be served. My questions are: > > 1) What is the expected behavior of a Flight server for empty record > batches, can they be ignored and not sent to the Client? > > 2) Is it good enough to test against a final concatenation of all batches > in the stream or should each batch be verified individually to ensure the > server is sending out correctly batched data? > > Thanks, > Bryan >
Re: [Discuss][FlightRPC] Extensions to Flight: "DoBidirectional"
Hey Andy, I've been rather busy unfortunately. I had started on an implementation in C++ to provide as part of this discussion, but it's not complete. I'm hoping to have more done in March. Best, David On 2/25/20, Andy Grove wrote: > I was wondering if there had been any momentum on this (the BiDirectional > RPC design)? > > I'm interested in this for the use case of Apache Spark sending a stream of > data to another process to invoke custom code and then receive a stream > back with the transformed data. > > Thanks, > > Andy. > > > > On Fri, Dec 13, 2019 at 12:12 PM Jacques Nadeau wrote: > >> I support moving forward with the current proposal. >> >> On Thu, Dec 12, 2019 at 12:20 PM David Li wrote: >> >> > Just following up here again, any other thoughts? >> > >> > I think we do have justifications for potentially separate streams in >> > a call, but that's more of an orthogonal question - it doesn't need to >> > be addressed here. I do agree that it very much complicates things. >> > >> > Thanks, >> > David >> > >> > On 11/29/19, Wes McKinney wrote: >> > > I would generally agree with this. Note that you have the possibility >> > > to use unions-of-structs to send record batches with different >> > > schemas >> > > in the same stream, though with some added complexity on each side >> > > >> > > On Thu, Nov 28, 2019 at 10:37 AM Jacques Nadeau >> > wrote: >> > >> >> > >> I'd vote for explicitly not supported. We should keep our primitives >> > >> narrow. >> > >> >> > >> On Wed, Nov 27, 2019, 1:17 PM David Li >> > >> wrote: >> > >> >> > >> > Thanks for the feedback. >> > >> > >> > >> > I do think if we had explicitly embraced gRPC from the beginning, >> > >> > there are a lot of places where things could be made more >> > >> > ergonomic, >> > >> > including with the metadata fields. But it would also have locked >> out >> > >> > us of potential future transports. >> > >> > >> > >> > On another note: I hesitate to put too much into this method, but >> > >> > we >> > >> > are looking at use cases where potentially, a client may want to >> > >> > upload multiple distinct datasets (with differing schemas). (This >> is a >> > >> > little tentative, and I can get more details...) Right now, each >> > >> > logical stream in Flight must have a single, consistent schema; >> would >> > >> > it make sense to look at ways to relax this, or declare this >> > >> > explicitly out of scope (and require multiple calls and >> > >> > coordination >> > >> > with the deployment topology) in order to accomplish this? >> > >> > >> > >> > Best, >> > >> > David >> > >> > >> > >> > On 11/27/19, Jacques Nadeau wrote: >> > >> > > Fair enough. I'm okay with the bytes approach and the proposal >> looks >> > >> > > good >> > >> > > to me. >> > >> > > >> > >> > > On Fri, Nov 8, 2019 at 11:37 AM David Li >> > >> > > wrote: >> > >> > > >> > >> > >> I've updated the proposal. >> > >> > >> >> > >> > >> On the subject of Protobuf Any vs bytes, and how to handle >> > >> > >> errors/metadata, I still think using bytes is preferable: >> > >> > >> - It doesn't require (conditionally) exposing or wrapping >> Protobuf >> > >> > types, >> > >> > >> - We wouldn't be able to practically expose the Protobuf field >> > >> > >> to >> > >> > >> C++ >> > >> > >> users without causing build pains, >> > >> > >> - We can't let Python users take advantage of the Protobuf >> > >> > >> field >> > >> > >> without somehow being compatible with the Protobuf wheels (by >> > >> > >> linking >> > >> > >> to the same version, and doing magic to turn the C++ Protobufs >> into >> > >> > >> the Python ones), >> > >> > >> - All our other application-defined fields are already bytes. >> > >> > >> >> > >> > >> Applications that want structure can encode JSON or Protobuf >> > >> > >> Any >> > >> > >> into >> > >> > >> the bytes field themselves, much as you can already do for >> Ticket, >> > >> > >> commands in FlightDescriptors, and application metadata in >> > >> > >> DoGet/DoPut. I don't think this is (much) less efficient than >> using >> > >> > >> Any directly, since Any itself is a bytes field with a tag, and >> > must >> > >> > >> invoke the Protobuf deserializer again to read the actual >> message. >> > >> > >> >> > >> > >> If we decide on using bytes, then I don't think it makes sense >> > >> > >> to >> > >> > >> define a new message with a oneof either, since it would be >> > >> > >> redundant. >> > >> > >> >> > >> > >> Thanks, >> > >> > >> David >> > >> > >> >> > >> > >> On 11/7/19, David Li wrote: >> > >> > >> > I've been extremely backlogged, I will update the proposal >> when I >> > >> > >> > get >> > >> > >> > a chance and reply here when done. >> > >> > >> > >> > >> > >> > Best, >> > >> > >> > David >> > >> > >> > >> > >> > >> > On 11/7/19, Wes McKinney wrote: >> > >> > >> >> Bumping this discussion since a couple of weeks have passed. >> It >> > >> > >> >> seems >> > >> > >> >> there are still some questions here, could we summarize what >> are >>
[jira] [Created] (ARROW-7940) Unable to generate cmake build with settings other than default
Valery Vybornov created ARROW-7940:
--
Summary: Unable to generate cmake build with settings other than
default
Key: ARROW-7940
URL: https://issues.apache.org/jira/browse/ARROW-7940
Project: Apache Arrow
Issue Type: Bug
Components: C++
Affects Versions: 0.16.0
Environment: Windows 10
Visual Studio 2019 Build Tools 16.4.5
Reporter: Valery Vybornov
Attachments: log.txt
Steps to reproduce:
# Install conda-forge as described here:
[https://arrow.apache.org/docs/developers/cpp/windows.html#using-conda-forge-for-build-dependencies]
# Install ninja+clcache
[https://arrow.apache.org/docs/developers/cpp/windows.html#building-with-ninja-and-clcache]
# (git bash) git clone [https://github.com/apache/arrow.git]
cd arrow/
git checkout apache-arrow-0.16.0
# (cmd)
call C:\Users\vvv\Miniconda3\Scripts\activate.bat C:\Users\vvv\Miniconda3
call "C:\Program Files (x86)\Microsoft Visual
Studio\2019\BuildTools\VC\Auxiliary\Build\vcvarsall.bat" x64
call conda activate arrow-dev
# cd arrow\cpp
mkdir build
cd build
# cmake -G "Ninja" -DARROW_BUILD_EXAMPLES=ON -DARROW_BUILD_UTILITIES=ON
-DARROW_FLIGHT=ON -DARROW_GANDIVA=ON -DARROW_PARQUET=ON ..
# cmake --build . --config Release
Expected results: Examples, utilities, flight, gandiva, parquet built.
Actual results: Default configuration and none of the above built.
cmake_summary.json indicates all these features OFF. Following lines in the
output of cmake:
{code:java}
-- Configuring done
You have changed variables that require your cache to be deleted.
Configure will be re-run and you may have to reset some variables.
The following variables have changed:
CMAKE_CXX_COMPILER= C:/Program Files (x86)/Microsoft Visual
Studio/2019/BuildTools/VC/Tools/MSVC/14.24.28314/bin/Hostx64/x64/cl.exe
-- Building using CMake version: 3.16.4 {code}
Full cmake output attached
--
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Re: [Discuss][FlightRPC] Extensions to Flight: "DoBidirectional"
I was wondering if there had been any momentum on this (the BiDirectional RPC design)? I'm interested in this for the use case of Apache Spark sending a stream of data to another process to invoke custom code and then receive a stream back with the transformed data. Thanks, Andy. On Fri, Dec 13, 2019 at 12:12 PM Jacques Nadeau wrote: > I support moving forward with the current proposal. > > On Thu, Dec 12, 2019 at 12:20 PM David Li wrote: > > > Just following up here again, any other thoughts? > > > > I think we do have justifications for potentially separate streams in > > a call, but that's more of an orthogonal question - it doesn't need to > > be addressed here. I do agree that it very much complicates things. > > > > Thanks, > > David > > > > On 11/29/19, Wes McKinney wrote: > > > I would generally agree with this. Note that you have the possibility > > > to use unions-of-structs to send record batches with different schemas > > > in the same stream, though with some added complexity on each side > > > > > > On Thu, Nov 28, 2019 at 10:37 AM Jacques Nadeau > > wrote: > > >> > > >> I'd vote for explicitly not supported. We should keep our primitives > > >> narrow. > > >> > > >> On Wed, Nov 27, 2019, 1:17 PM David Li wrote: > > >> > > >> > Thanks for the feedback. > > >> > > > >> > I do think if we had explicitly embraced gRPC from the beginning, > > >> > there are a lot of places where things could be made more ergonomic, > > >> > including with the metadata fields. But it would also have locked > out > > >> > us of potential future transports. > > >> > > > >> > On another note: I hesitate to put too much into this method, but we > > >> > are looking at use cases where potentially, a client may want to > > >> > upload multiple distinct datasets (with differing schemas). (This > is a > > >> > little tentative, and I can get more details...) Right now, each > > >> > logical stream in Flight must have a single, consistent schema; > would > > >> > it make sense to look at ways to relax this, or declare this > > >> > explicitly out of scope (and require multiple calls and coordination > > >> > with the deployment topology) in order to accomplish this? > > >> > > > >> > Best, > > >> > David > > >> > > > >> > On 11/27/19, Jacques Nadeau wrote: > > >> > > Fair enough. I'm okay with the bytes approach and the proposal > looks > > >> > > good > > >> > > to me. > > >> > > > > >> > > On Fri, Nov 8, 2019 at 11:37 AM David Li > > >> > > wrote: > > >> > > > > >> > >> I've updated the proposal. > > >> > >> > > >> > >> On the subject of Protobuf Any vs bytes, and how to handle > > >> > >> errors/metadata, I still think using bytes is preferable: > > >> > >> - It doesn't require (conditionally) exposing or wrapping > Protobuf > > >> > types, > > >> > >> - We wouldn't be able to practically expose the Protobuf field to > > >> > >> C++ > > >> > >> users without causing build pains, > > >> > >> - We can't let Python users take advantage of the Protobuf field > > >> > >> without somehow being compatible with the Protobuf wheels (by > > >> > >> linking > > >> > >> to the same version, and doing magic to turn the C++ Protobufs > into > > >> > >> the Python ones), > > >> > >> - All our other application-defined fields are already bytes. > > >> > >> > > >> > >> Applications that want structure can encode JSON or Protobuf Any > > >> > >> into > > >> > >> the bytes field themselves, much as you can already do for > Ticket, > > >> > >> commands in FlightDescriptors, and application metadata in > > >> > >> DoGet/DoPut. I don't think this is (much) less efficient than > using > > >> > >> Any directly, since Any itself is a bytes field with a tag, and > > must > > >> > >> invoke the Protobuf deserializer again to read the actual > message. > > >> > >> > > >> > >> If we decide on using bytes, then I don't think it makes sense to > > >> > >> define a new message with a oneof either, since it would be > > >> > >> redundant. > > >> > >> > > >> > >> Thanks, > > >> > >> David > > >> > >> > > >> > >> On 11/7/19, David Li wrote: > > >> > >> > I've been extremely backlogged, I will update the proposal > when I > > >> > >> > get > > >> > >> > a chance and reply here when done. > > >> > >> > > > >> > >> > Best, > > >> > >> > David > > >> > >> > > > >> > >> > On 11/7/19, Wes McKinney wrote: > > >> > >> >> Bumping this discussion since a couple of weeks have passed. > It > > >> > >> >> seems > > >> > >> >> there are still some questions here, could we summarize what > are > > >> > >> >> the > > >> > >> >> alternatives along with any public API implications so we can > > try > > >> > >> >> to > > >> > >> >> render a decision? > > >> > >> >> > > >> > >> >> On Sat, Oct 26, 2019 at 7:19 PM David Li < > li.david...@gmail.com > > > > > >> > >> >> wrote: > > >> > >> >>> > > >> > >> >>> Hi Wes, > > >> > >> >>> > > >> > >> >>> Responses inline: > > >> > >> >>> > > >> > >> >>> On Sat, Oct 26, 2019, 13:46 Wes McKinney < > wesmck...@gmail.com>
[jira] [Created] (ARROW-7939) Python crashes when reading parquet file compressed with snappy
Marc Bernot created ARROW-7939:
--
Summary: Python crashes when reading parquet file compressed with
snappy
Key: ARROW-7939
URL: https://issues.apache.org/jira/browse/ARROW-7939
Project: Apache Arrow
Issue Type: Bug
Components: Python
Affects Versions: 0.16.0
Environment: Windows 7
python 3.6.9
pyarrow 0.16 from conda-forge
Reporter: Marc Bernot
When I installed pyarrow 0.16, some parquet files created with pyarrow 0.15.1
would make python crash. I drilled down to the simplest example I could find.
It happens that some parquet files created with pyarrow 0.16 cannot either be
read back. The example below works fine with arrays_ok but python crashes with
arrays_nok.
Besides, it works fine with 'none', 'gzip' and 'brotli' compression. The
problem seems to happen only with snappy.
{code:python}
import pyarrow.parquet as pq
import pyarrow as pa
arrays_ok = [[0,1]]
arrays_nok = [[0,1,2]]
table = pa.Table.from_arrays(arrays_nok,names=['a'])
pq.write_table(table,'foo.parquet',compression='snappy')
pq.read_table('foo.parquet')
{code}
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[jira] [Created] (ARROW-7938) [C++] Add tests for DayTimeIntervalBuilder
Ben Kietzman created ARROW-7938: --- Summary: [C++] Add tests for DayTimeIntervalBuilder Key: ARROW-7938 URL: https://issues.apache.org/jira/browse/ARROW-7938 Project: Apache Arrow Issue Type: Improvement Components: C++ Affects Versions: 0.16.0 Reporter: Ben Kietzman Assignee: Micah Kornfield Fix For: 1.0.0 -- This message was sent by Atlassian Jira (v8.3.4#803005)
[NIGHTLY] Arrow Build Report for Job nightly-2020-02-25-0
Arrow Build Report for Job nightly-2020-02-25-0 All tasks: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0 Failed Tasks: - gandiva-jar-trusty: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-travis-gandiva-jar-trusty - macos-r-autobrew: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-travis-macos-r-autobrew - test-conda-python-3.7-pandas-master: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-circle-test-conda-python-3.7-pandas-master - test-conda-python-3.7-turbodbc-latest: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-circle-test-conda-python-3.7-turbodbc-latest - test-conda-python-3.7-turbodbc-master: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-circle-test-conda-python-3.7-turbodbc-master - test-conda-python-3.8-jpype: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-circle-test-conda-python-3.8-jpype - wheel-manylinux1-cp35m: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-azure-wheel-manylinux1-cp35m - wheel-manylinux2010-cp35m: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-azure-wheel-manylinux2010-cp35m - wheel-manylinux2014-cp35m: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-azure-wheel-manylinux2014-cp35m - wheel-osx-cp35m: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-travis-wheel-osx-cp35m - wheel-osx-cp36m: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-travis-wheel-osx-cp36m Succeeded Tasks: - centos-6: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-github-centos-6 - centos-7: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-github-centos-7 - centos-8: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-github-centos-8 - conda-linux-gcc-py36: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-azure-conda-linux-gcc-py36 - conda-linux-gcc-py37: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-azure-conda-linux-gcc-py37 - conda-linux-gcc-py38: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-azure-conda-linux-gcc-py38 - conda-osx-clang-py36: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-azure-conda-osx-clang-py36 - conda-osx-clang-py37: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-azure-conda-osx-clang-py37 - conda-osx-clang-py38: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-azure-conda-osx-clang-py38 - conda-win-vs2015-py36: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-azure-conda-win-vs2015-py36 - conda-win-vs2015-py37: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-azure-conda-win-vs2015-py37 - conda-win-vs2015-py38: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-azure-conda-win-vs2015-py38 - debian-buster: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-github-debian-buster - debian-stretch: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-github-debian-stretch - gandiva-jar-osx: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-travis-gandiva-jar-osx - homebrew-cpp: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-travis-homebrew-cpp - test-conda-cpp-valgrind: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-circle-test-conda-cpp-valgrind - test-conda-cpp: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-circle-test-conda-cpp - test-conda-python-3.6: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-circle-test-conda-python-3.6 - test-conda-python-3.7-dask-latest: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-circle-test-conda-python-3.7-dask-latest - test-conda-python-3.7-hdfs-2.9.2: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-circle-test-conda-python-3.7-hdfs-2.9.2 - test-conda-python-3.7-pandas-latest: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-circle-test-conda-python-3.7-pandas-latest - test-conda-python-3.7-spark-master: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-02-25-0-circle-test-conda-python-3.7-spark-master - test-conda-python-3.7: URL: https://github.com/urs
[jira] [Created] (ARROW-7937) [Python][Packaging] Remove boost from the macos wheels
Krisztian Szucs created ARROW-7937: -- Summary: [Python][Packaging] Remove boost from the macos wheels Key: ARROW-7937 URL: https://issues.apache.org/jira/browse/ARROW-7937 Project: Apache Arrow Issue Type: Improvement Components: Packaging, Python Reporter: Krisztian Szucs Fix For: 1.0.0 Only boost_regex is required for libarrow but only on gcc < 4.9, see https://github.com/apache/arrow/blob/f609298f8f00783a6704608ca8493227a552abab/cpp/src/parquet/metadata.cc#L38 so we can remove the bundled boost libraries from the macos wheels as well. -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Created] (ARROW-7936) [Python] FileSystem.from_uri test fails on python 3.5
Krisztian Szucs created ARROW-7936: -- Summary: [Python] FileSystem.from_uri test fails on python 3.5 Key: ARROW-7936 URL: https://issues.apache.org/jira/browse/ARROW-7936 Project: Apache Arrow Issue Type: Bug Components: Python Reporter: Krisztian Szucs Fix For: 1.0.0 See build failure at https://dev.azure.com/ursa-labs/crossbow/_build/results?buildId=7535&view=logs&j=0da5d1d9-276d-5173-c4c4-9d4d4ed14fdb&t=6c939d89-0d1a-51f2-8b30-091a7a82e98c&l=288 -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Created] (ARROW-7935) [Java] Remove Netty dependency for BufferAllocator and ReferenceManager
Liya Fan created ARROW-7935: --- Summary: [Java] Remove Netty dependency for BufferAllocator and ReferenceManager Key: ARROW-7935 URL: https://issues.apache.org/jira/browse/ARROW-7935 Project: Apache Arrow Issue Type: Improvement Components: Java Reporter: Liya Fan Assignee: Liya Fan With previous work (ARROW-7329 and ARROW-7505), Netty based allocation is only one of the possible implementations. So we need to revise BufferAllocator and ReferenceManager, to make them general, and independent Netty libraries. -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Created] (ARROW-7934) [C++] Fix UriEscape for empty string
Projjal Chanda created ARROW-7934: - Summary: [C++] Fix UriEscape for empty string Key: ARROW-7934 URL: https://issues.apache.org/jira/browse/ARROW-7934 Project: Apache Arrow Issue Type: Task Reporter: Projjal Chanda Assignee: Projjal Chanda -- This message was sent by Atlassian Jira (v8.3.4#803005)
