Re: how to get partition column info in Data Source V2 writer

2019-12-18 Thread aakash aakash
Thanks Wenchen! On Wed, Dec 18, 2019 at 7:25 PM Wenchen Fan wrote: > Hi Aakash, > > You can try the latest DS v2 with the 3.0 preview, and the API is in a > quite stable shape now. With the latest API, a Writer is created from a > Table, and the Table has the partitioning information. > >

Re: [VOTE] SPARK 3.0.0-preview2 (RC2)

2019-12-18 Thread Wenchen Fan
+1, all tests pass On Thu, Dec 19, 2019 at 7:18 AM Takeshi Yamamuro wrote: > Thanks, Yuming! > > I checked the links and the prepared binaries. > Also, I run tests with -Pyarn -Phadoop-2.7 -Phive -Phive-thriftserver > -Pmesos -Pkubernetes -Psparkr > on java version "1.8.0_181. > All the things

Re: how to get partition column info in Data Source V2 writer

2019-12-18 Thread Wenchen Fan
Hi Aakash, You can try the latest DS v2 with the 3.0 preview, and the API is in a quite stable shape now. With the latest API, a Writer is created from a Table, and the Table has the partitioning information. Thanks, Wenchen On Wed, Dec 18, 2019 at 3:22 AM aakash aakash wrote: > Thanks

Re: [VOTE] SPARK 3.0.0-preview2 (RC2)

2019-12-18 Thread Takeshi Yamamuro
Thanks, Yuming! I checked the links and the prepared binaries. Also, I run tests with -Pyarn -Phadoop-2.7 -Phive -Phive-thriftserver -Pmesos -Pkubernetes -Psparkr on java version "1.8.0_181. All the things above look fine. Bests, Takeshi On Thu, Dec 19, 2019 at 6:31 AM Dongjoon Hyun wrote: >

Re: [VOTE] SPARK 3.0.0-preview2 (RC2)

2019-12-18 Thread Dongjoon Hyun
+1 I also check the signatures and docs. And, built and tested with JDK 11.0.5, Hadoop 3.2, Hive 2.3. In addition, the newly added `spark-3.0.0-preview2-bin-hadoop2.7-hive1.2.tgz` distribution looks correct. Thank you Yuming and all. Bests, Dongjoon. On Tue, Dec 17, 2019 at 4:11 PM Sean Owen

[VOTE][SPARK-29018][SPIP]:Build spark thrift server based on protocol v11

2019-12-18 Thread angers . zhu
With the development of Spark and Hive,in current sql/hive-thriftserver module, we need to do a lot of work to solve code conflicts for different built-in hive versions.It's an annoying and unending work in current ways. And these issues have limited our