[jira] [Resolved] (ARROW-442) [Python] Add public Python API to inspect Parquet file metadata

[ https://issues.apache.org/jira/browse/ARROW-442?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Uwe L. Korn resolved ARROW-442. --- Resolution: Fixed Issue resolved by pull request 275 [https://github.com/apache/arrow/pull/275] > [Pyt

[jira] [Commented] (ARROW-466) C++: ExternalProject for jemalloc

[ https://issues.apache.org/jira/browse/ARROW-466?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15814219#comment-15814219 ] Uwe L. Korn commented on ARROW-466: --- PR: https://github.com/apache/arrow/pull/276 > C++:

[jira] [Assigned] (ARROW-378) Python: Respect timezone on conversion of Pandas datetime columns

[ https://issues.apache.org/jira/browse/ARROW-378?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jim Ahn reassigned ARROW-378: - Assignee: Jim Ahn > Python: Respect timezone on conversion of Pandas datetime columns > --

[jira] [Created] (ARROW-468) Python: Conversion of nested data in pd.DataFrames to/from Arrow structures

Uwe L. Korn created ARROW-468: - Summary: Python: Conversion of nested data in pd.DataFrames to/from Arrow structures Key: ARROW-468 URL: https://issues.apache.org/jira/browse/ARROW-468 Project: Apache Arr

[jira] [Created] (ARROW-467) [Python] Run parquet-cpp unit tests in Travis CI

Wes McKinney created ARROW-467: -- Summary: [Python] Run parquet-cpp unit tests in Travis CI Key: ARROW-467 URL: https://issues.apache.org/jira/browse/ARROW-467 Project: Apache Arrow Issue Type: N

[jira] [Assigned] (ARROW-442) [Python] Add public Python API to inspect Parquet file metadata

[ https://issues.apache.org/jira/browse/ARROW-442?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wes McKinney reassigned ARROW-442: -- Assignee: Wes McKinney > [Python] Add public Python API to inspect Parquet file metadata > -

Re: Getting started on board report... input?

The integration test success is the biggest news. We should definitely try to release 0.2 as soon as possible. Other features - Significantly improved performance in Python pandas interoperability - Refactored parquet-cpp to depend on Arrow C++ memory management (buffers) and IO components I wro

Re: Getting started on board report... input?

Now that we have cross compatibility tests between Java and C++ we're going to release a 0.2 soon. arrow-cpp, py-arrow and parquet-cpp work together nicely. I'm going to talk about arrow at Starta San Jose (March) and Dataworks Summit in Munich (April) On Mon, Jan 9, 2017 at 9:38 AM, Jacques Nade

Getting started on board report... input?

Hey All, I'm going to full together a arrow board report. Anything people think I should note? Presentations, progress, key features, etc? thanks, jacques