Re: Preparing for 0.17.0 Arrow release
We also have a recent regression related to the KeyValueMetadata wrapping python that is causing failures in downstream libraries, that seems a blocker for the release: https://issues.apache.org/jira/browse/ARROW-8342 On Mon, 6 Apr 2020 at 00:25, Wes McKinney wrote: > We are getting close to the 0.17.0 endgame. > > Here are the 18 JIRAs still in the 0.17.0 milestone. There are a few > issues without patches yet so we should decide quickly whether they > need to be included. Are they any blocking issues not accounted for in > the milestone? > > * ARROW-6947 [Rust] [DataFusion] Add support for scalar UDFs > > Patch available > > * ARROW-7794 [Rust] cargo publish fails for arrow-flight due to > relative path to Flight.proto > > No patch yet > > * ARROW-7222 [Python][Release] Wipe any existing generated Python API > documentation when updating website > > This issue needs to be addressed by the release manager and the > Confluence instructions must be updated. > > * ARROW-7891 [C++] RecordBatch->Equals should also have a > check_metadata argument > > Patch available that needs to be reviewed and approved > > * ARROW-8164: [C++][Dataset] Let datasets be viewable with non-identical > schema > > Patch available, but failures to be resolved > > * ARROW-7965: [Python] Hold a reference to the dataset factory for later > reuse > > Depends on ARROW-8164, will require rebase > > * ARROW-8039: [Python][Dataset] Support using dataset API in > pyarrow.parquet with a minimal ParquetDataset shim > > Patch pending > > * ARROW-8047: [Python][Documentation] Document migration from > ParquetDataset to pyarrow.datasets > > May be tackled beyond 0.17.0 > > * ARROW-8063: [Python] Add user guide documentation for Datasets API > > May be tackled beyond 0.17.0 > > * ARROW-8149 [C++/Python] Enable CUDA Support in conda recipes > > Does not seem strictly necessary for release, since a packaging issue > > * ARROW-8162: [Format][Python] Add serialization for CSF sparse tensors > > Patch available, but needs review. May > > * ARROW-8213: [Python][Dataset] Opening a dataset with a local > incorrect path gives confusing error message > > Nice to have, but not essential > > * ARROW-8266: [C++] Add backup mirrors for external project source > downloads > > Patch available, nice to have > > * ARROW-8275 [Python][Docs] Review Feather + IPC file documentation > per "Feather V2" changes > > Patch available > > * ARROW-8300 [R] Documentation and changelog updates for 0.17 > > Patch available > > * ARROW-8320 [Documentation][Format] Clarify (lack of) alignment > requirements in C data interface > > Patch available > > * ARROW-8330: [Documentation] The post release script generates the > documentation with a development version > > Patch available > > * ARROW-8335: [Release] Add crossbow jobs to run release verification > > Patch in progress > > On Tue, Mar 31, 2020 at 11:23 PM Fan Liya wrote: > > > > I see ARROW-6871 in the list. > > It seems it has some bugs, which are being fixed by ARROW-8239. > > So I have added ARROW-8239 to the list. > > > > The PR for ARROW-8239 is already approved, so it is expected to be > resolved > > soon. > > > > Best, > > Liya Fan > > > > On Wed, Apr 1, 2020 at 12:01 PM Micah Kornfield > > wrote: > > > > > I moved the Java issues out of 0.17.0, they seem complex enough or not > of > > > enough significance to make them blockers for 0.17.0 release. If > owners of > > > the issues disagree please move them back int. > > > > > > On Tue, Mar 31, 2020 at 6:05 PM Wes McKinney > wrote: > > > > > > > We've made good progress, but there are still 35 issues in the > > > > backlog. Some of them are documentation related, but there are some > > > > functionality-related patches that could be at risk. If all could > > > > review again to trim out anything that isn't going to make the cut > for > > > > 0.17.0, please do > > > > > > > > On Wed, Mar 25, 2020 at 2:39 PM Andy Grove > > > wrote: > > > > > > > > > > I just took a first pass at reviewing the Java and Rust issues and > > > > removed > > > > > some from the 0.17.0 release. There are a few small Rust issues > that I > > > am > > > > > actively working on for this release. > > > > > > > > > > Thanks. > > > > > > > > > > > > > > > On Wed, Mar 25, 2020 at 1:13 PM Wes McKinney > > > > wrote: > > > > > > > > > > > hi Neal, > > > > > > > > > > > > Thanks for helping coordinate. I agree we should be in a > position to > > > > > > release sometime next week. > > > > > > > > > > > > Can folks from the Rust and Java side review issues in the > backlog? > > > > > > According to the dashboard there are 19 Rust issues open and 7 > Java > > > > > > issues. > > > > > > > > > > > > Thanks > > > > > > > > > > > > On Tue, Mar 24, 2020 at 10:01 AM Neal Richardson > > > > > > wrote: > > > > > > > > > > > > > > Hi all, > > > > > > > A few weeks ago, there seemed to be consensus (lazy, at least) > for > > > a > > > > 0.17 > > > > > > > release at the end of the month. Judging from > > >
[jira] [Created] (ARROW-8342) [Python] dask and kartothek integration tests are failing
Joris Van den Bossche created ARROW-8342: Summary: [Python] dask and kartothek integration tests are failing Key: ARROW-8342 URL: https://issues.apache.org/jira/browse/ARROW-8342 Project: Apache Arrow Issue Type: Bug Components: Python Reporter: Joris Van den Bossche Fix For: 0.17.0 The integration tests for both dask and kartothek, and for both master and latest released version of them, started failing the last days. Dask latest: https://circleci.com/gh/ursa-labs/crossbow/10629?utm_campaign=vcs-integration-link&utm_medium=referral&utm_source=github-build-link Kartothek latest: https://circleci.com/gh/ursa-labs/crossbow/10604?utm_campaign=vcs-integration-link&utm_medium=referral&utm_source=github-build-link I think both are related to the KeyValueMetadata changes (ARROW-8079). The kartothek one is clearly related, as it gives: TypeError: 'pyarrow.lib.KeyValueMetadata' object does not support item assignment And I think the dask one is related to the "pandas" key now being present twice, and therefore it is using the "wrong" one. -- This message was sent by Atlassian Jira (v8.3.4#803005)
Re: [NIGHTLY] Arrow Build Report for Job nightly-2020-04-05-0
I opened https://issues.apache.org/jira/browse/ARROW-8342 for the dask/kartothek integration failures. On Mon, 6 Apr 2020 at 02:54, Crossbow wrote: > > Arrow Build Report for Job nightly-2020-04-05-0 > > All tasks: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0 > > Failed Tasks: > - gandiva-jar-osx: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-travis-gandiva-jar-osx > - gandiva-jar-trusty: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-travis-gandiva-jar-trusty > - test-conda-python-3.6: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-circle-test-conda-python-3.6 > - test-conda-python-3.7-dask-latest: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-circle-test-conda-python-3.7-dask-latest > - test-conda-python-3.7-kartothek-latest: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-circle-test-conda-python-3.7-kartothek-latest > - test-conda-python-3.7-kartothek-master: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-circle-test-conda-python-3.7-kartothek-master > - test-conda-python-3.7-turbodbc-latest: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-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-2020-04-05-0-circle-test-conda-python-3.7-turbodbc-master > - test-conda-python-3.8-dask-master: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-circle-test-conda-python-3.8-dask-master > - test-ubuntu-18.04-docs: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-circle-test-ubuntu-18.04-docs > - ubuntu-eoan: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-github-ubuntu-eoan > - ubuntu-focal: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-github-ubuntu-focal > > Succeeded Tasks: > - centos-6: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-github-centos-6 > - centos-7: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-github-centos-7 > - centos-8: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-github-centos-8 > - conda-linux-gcc-py36: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-azure-conda-linux-gcc-py36 > - conda-linux-gcc-py37: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-azure-conda-linux-gcc-py37 > - conda-linux-gcc-py38: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-azure-conda-linux-gcc-py38 > - conda-osx-clang-py36: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-azure-conda-osx-clang-py36 > - conda-osx-clang-py37: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-azure-conda-osx-clang-py37 > - conda-osx-clang-py38: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-azure-conda-osx-clang-py38 > - conda-win-vs2015-py36: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-azure-conda-win-vs2015-py36 > - conda-win-vs2015-py37: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-azure-conda-win-vs2015-py37 > - conda-win-vs2015-py38: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-azure-conda-win-vs2015-py38 > - debian-buster: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-github-debian-buster > - debian-stretch: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-github-debian-stretch > - homebrew-cpp: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-travis-homebrew-cpp > - macos-r-autobrew: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-travis-macos-r-autobrew > - test-conda-cpp-valgrind: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-circle-test-conda-cpp-valgrind > - test-conda-cpp: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-circle-test-conda-cpp > - test-conda-python-3.7-hdfs-2.9.2: > URL: > https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-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-2020-04-05-0-circle-test-conda-python-3.7-pandas-latest > - test-cond
Re: building arrow with CMake 2.8 on CentOS
Hi, We don't support CMake 2.8. Please use CMake 3.2 or later. Are you using CentOS 6? You can install CMake 3.6 with EPEL on CentOS 6: % sudo yum install -y epel-release % sudo yum install -y cmake3 % cmake3 --version cmake3 version 3.6.1 CMake suite maintained and supported by Kitware (kitware.com/cmake). Thanks, --- kou In "building arrow with CMake 2.8 on CentOS" on Mon, 6 Apr 2020 05:39:56 +, "Lekshmi Narayanan, Arun Balajiee" wrote: > Hi > > I am looking to build Arrow on CentOS with cmake version 2.8. It is a shared > server, so the server admin at my school doesn't want to update the version > of cmake. I checked these two issues, > https://issues.apache.org/jira/browse/ARROW-73 > https://issues.apache.org/jira/browse/ARROW-66 > > but I couldn't arrive at a resolution on how to build on my machine. > > I don't find a documentation for building on CentOS with these cmake settings > as well. Could you help me with this? > > > Regards, > Arun Balajiee
building arrow with CMake 2.8 on CentOS
Hi I am looking to build Arrow on CentOS with cmake version 2.8. It is a shared server, so the server admin at my school doesn't want to update the version of cmake. I checked these two issues, https://issues.apache.org/jira/browse/ARROW-73 https://issues.apache.org/jira/browse/ARROW-66 but I couldn't arrive at a resolution on how to build on my machine. I don't find a documentation for building on CentOS with these cmake settings as well. Could you help me with this? Regards, Arun Balajiee
[jira] [Created] (ARROW-8341) [Packaging][deb] Fail to build by no disk space
Kouhei Sutou created ARROW-8341: --- Summary: [Packaging][deb] Fail to build by no disk space Key: ARROW-8341 URL: https://issues.apache.org/jira/browse/ARROW-8341 Project: Apache Arrow Issue Type: Improvement Components: Packaging Reporter: Kouhei Sutou Assignee: Kouhei Sutou -- This message was sent by Atlassian Jira (v8.3.4#803005)
[NIGHTLY] Arrow Build Report for Job nightly-2020-04-05-0
Arrow Build Report for Job nightly-2020-04-05-0 All tasks: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0 Failed Tasks: - gandiva-jar-osx: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-travis-gandiva-jar-osx - gandiva-jar-trusty: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-travis-gandiva-jar-trusty - test-conda-python-3.6: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-circle-test-conda-python-3.6 - test-conda-python-3.7-dask-latest: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-circle-test-conda-python-3.7-dask-latest - test-conda-python-3.7-kartothek-latest: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-circle-test-conda-python-3.7-kartothek-latest - test-conda-python-3.7-kartothek-master: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-circle-test-conda-python-3.7-kartothek-master - test-conda-python-3.7-turbodbc-latest: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-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-2020-04-05-0-circle-test-conda-python-3.7-turbodbc-master - test-conda-python-3.8-dask-master: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-circle-test-conda-python-3.8-dask-master - test-ubuntu-18.04-docs: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-circle-test-ubuntu-18.04-docs - ubuntu-eoan: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-github-ubuntu-eoan - ubuntu-focal: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-github-ubuntu-focal Succeeded Tasks: - centos-6: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-github-centos-6 - centos-7: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-github-centos-7 - centos-8: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-github-centos-8 - conda-linux-gcc-py36: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-azure-conda-linux-gcc-py36 - conda-linux-gcc-py37: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-azure-conda-linux-gcc-py37 - conda-linux-gcc-py38: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-azure-conda-linux-gcc-py38 - conda-osx-clang-py36: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-azure-conda-osx-clang-py36 - conda-osx-clang-py37: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-azure-conda-osx-clang-py37 - conda-osx-clang-py38: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-azure-conda-osx-clang-py38 - conda-win-vs2015-py36: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-azure-conda-win-vs2015-py36 - conda-win-vs2015-py37: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-azure-conda-win-vs2015-py37 - conda-win-vs2015-py38: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-azure-conda-win-vs2015-py38 - debian-buster: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-github-debian-buster - debian-stretch: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-github-debian-stretch - homebrew-cpp: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-travis-homebrew-cpp - macos-r-autobrew: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-travis-macos-r-autobrew - test-conda-cpp-valgrind: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-circle-test-conda-cpp-valgrind - test-conda-cpp: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-circle-test-conda-cpp - test-conda-python-3.7-hdfs-2.9.2: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-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-2020-04-05-0-circle-test-conda-python-3.7-pandas-latest - test-conda-python-3.7-pandas-master: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-circle-test-conda-python-3.7-pandas-master - test-conda-python-3.7-spark-master: URL: https://github.com/ursa-labs/crossbow/branches/all?query=nightly-2020-04-05-0-circle-test-conda-python-3.7-spark-master -
Re: Preparing for 0.17.0 Arrow release
We are getting close to the 0.17.0 endgame. Here are the 18 JIRAs still in the 0.17.0 milestone. There are a few issues without patches yet so we should decide quickly whether they need to be included. Are they any blocking issues not accounted for in the milestone? * ARROW-6947 [Rust] [DataFusion] Add support for scalar UDFs Patch available * ARROW-7794 [Rust] cargo publish fails for arrow-flight due to relative path to Flight.proto No patch yet * ARROW-7222 [Python][Release] Wipe any existing generated Python API documentation when updating website This issue needs to be addressed by the release manager and the Confluence instructions must be updated. * ARROW-7891 [C++] RecordBatch->Equals should also have a check_metadata argument Patch available that needs to be reviewed and approved * ARROW-8164: [C++][Dataset] Let datasets be viewable with non-identical schema Patch available, but failures to be resolved * ARROW-7965: [Python] Hold a reference to the dataset factory for later reuse Depends on ARROW-8164, will require rebase * ARROW-8039: [Python][Dataset] Support using dataset API in pyarrow.parquet with a minimal ParquetDataset shim Patch pending * ARROW-8047: [Python][Documentation] Document migration from ParquetDataset to pyarrow.datasets May be tackled beyond 0.17.0 * ARROW-8063: [Python] Add user guide documentation for Datasets API May be tackled beyond 0.17.0 * ARROW-8149 [C++/Python] Enable CUDA Support in conda recipes Does not seem strictly necessary for release, since a packaging issue * ARROW-8162: [Format][Python] Add serialization for CSF sparse tensors Patch available, but needs review. May * ARROW-8213: [Python][Dataset] Opening a dataset with a local incorrect path gives confusing error message Nice to have, but not essential * ARROW-8266: [C++] Add backup mirrors for external project source downloads Patch available, nice to have * ARROW-8275 [Python][Docs] Review Feather + IPC file documentation per "Feather V2" changes Patch available * ARROW-8300 [R] Documentation and changelog updates for 0.17 Patch available * ARROW-8320 [Documentation][Format] Clarify (lack of) alignment requirements in C data interface Patch available * ARROW-8330: [Documentation] The post release script generates the documentation with a development version Patch available * ARROW-8335: [Release] Add crossbow jobs to run release verification Patch in progress On Tue, Mar 31, 2020 at 11:23 PM Fan Liya wrote: > > I see ARROW-6871 in the list. > It seems it has some bugs, which are being fixed by ARROW-8239. > So I have added ARROW-8239 to the list. > > The PR for ARROW-8239 is already approved, so it is expected to be resolved > soon. > > Best, > Liya Fan > > On Wed, Apr 1, 2020 at 12:01 PM Micah Kornfield > wrote: > > > I moved the Java issues out of 0.17.0, they seem complex enough or not of > > enough significance to make them blockers for 0.17.0 release. If owners of > > the issues disagree please move them back int. > > > > On Tue, Mar 31, 2020 at 6:05 PM Wes McKinney wrote: > > > > > We've made good progress, but there are still 35 issues in the > > > backlog. Some of them are documentation related, but there are some > > > functionality-related patches that could be at risk. If all could > > > review again to trim out anything that isn't going to make the cut for > > > 0.17.0, please do > > > > > > On Wed, Mar 25, 2020 at 2:39 PM Andy Grove > > wrote: > > > > > > > > I just took a first pass at reviewing the Java and Rust issues and > > > removed > > > > some from the 0.17.0 release. There are a few small Rust issues that I > > am > > > > actively working on for this release. > > > > > > > > Thanks. > > > > > > > > > > > > On Wed, Mar 25, 2020 at 1:13 PM Wes McKinney > > > wrote: > > > > > > > > > hi Neal, > > > > > > > > > > Thanks for helping coordinate. I agree we should be in a position to > > > > > release sometime next week. > > > > > > > > > > Can folks from the Rust and Java side review issues in the backlog? > > > > > According to the dashboard there are 19 Rust issues open and 7 Java > > > > > issues. > > > > > > > > > > Thanks > > > > > > > > > > On Tue, Mar 24, 2020 at 10:01 AM Neal Richardson > > > > > wrote: > > > > > > > > > > > > Hi all, > > > > > > A few weeks ago, there seemed to be consensus (lazy, at least) for > > a > > > 0.17 > > > > > > release at the end of the month. Judging from > > > > > > > > > https://cwiki.apache.org/confluence/display/ARROW/Arrow+0.17.0+Release, > > > > > it > > > > > > looks like we're getting closer. > > > > > > > > > > > > I'd encourage everyone to review their backlogs and (1) bump from > > > 0.17 > > > > > > scope any tickets they don't plan to finish this week, and (2) if > > > there > > > > > are > > > > > > any issues that should block release, make sure they are flagged as > > > > > > "blockers". > > > > > > > > > > > > Neal > > > > > > > > > > > > On Tue, Mar 10, 2020 at 7:39 AM Wes McKinney > > > >
[jira] [Created] (ARROW-8340) [Documentation] Sphinx documentation does not build with just-released Sphinx 3.0.0
Wes McKinney created ARROW-8340: --- Summary: [Documentation] Sphinx documentation does not build with just-released Sphinx 3.0.0 Key: ARROW-8340 URL: https://issues.apache.org/jira/browse/ARROW-8340 Project: Apache Arrow Issue Type: Bug Components: Documentation, Python Reporter: Wes McKinney Fix For: 0.17.0 I'll add a version pin in a docs PR I'm working on, but this needs to be fixed soon -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Created] (ARROW-8339) [C++] Possibly allow null offsets and/or data buffer for BaseBinaryArray for 0-length arrays
Wes McKinney created ARROW-8339: --- Summary: [C++] Possibly allow null offsets and/or data buffer for BaseBinaryArray for 0-length arrays Key: ARROW-8339 URL: https://issues.apache.org/jira/browse/ARROW-8339 Project: Apache Arrow Issue Type: Improvement Components: C++ Reporter: Wes McKinney related to ARROW-8338. This issues was raised in ARROW-7008 but we maintained the status quo of requiring non-null buffers in both cases -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Created] (ARROW-8338) [Format] Clarify whether 0-length variable offsets buffers are permissible for 0-length arrays in the IPC protocol
Wes McKinney created ARROW-8338: --- Summary: [Format] Clarify whether 0-length variable offsets buffers are permissible for 0-length arrays in the IPC protocol Key: ARROW-8338 URL: https://issues.apache.org/jira/browse/ARROW-8338 Project: Apache Arrow Issue Type: Improvement Components: Documentation, Format Reporter: Wes McKinney This aspect of the columnar format / IPC protocol remains slightly unclear. As written, it would suggest that an offsets buffer of length 1 containing a single value 0 is required. It may be better to allow this to be length zero (corresponding to a 0-size or null buffer in the implementation) -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Created] (ARROW-8337) [Release] Verify release candidate wheels without using conda
Neal Richardson created ARROW-8337: -- Summary: [Release] Verify release candidate wheels without using conda Key: ARROW-8337 URL: https://issues.apache.org/jira/browse/ARROW-8337 Project: Apache Arrow Issue Type: Improvement Components: Developer Tools Reporter: Neal Richardson See final comments on ARROW-2880 -- This message was sent by Atlassian Jira (v8.3.4#803005)
