Re: [VOTE] SPIP: XML data source support

+ 1 > 2023年7月29日 13:06，Adrian Pop-Tifrea 写道： > > +1, the more data source formats, the better, and if the solution is already > thoroughly tested, I say we should go for it. > > On Sat, Jul 29, 2023, 06:35 Xiao Li > wrote: >> +1 >> >> On Fri, Jul 28, 2023 at

Re: [VOTE] SPIP: XML data source support

+1, the more data source formats, the better, and if the solution is already thoroughly tested, I say we should go for it. On Sat, Jul 29, 2023, 06:35 Xiao Li wrote: > +1 > > On Fri, Jul 28, 2023 at 15:54 Sean Owen wrote: > >> +1 I think that porting the package 'as is' into Spark is probably

Re: [VOTE] SPIP: XML data source support

+1 On Fri, Jul 28, 2023 at 15:54 Sean Owen wrote: > +1 I think that porting the package 'as is' into Spark is probably > worthwhile. > That's relatively easy; the code is already pretty battle-tested and not > that big and even originally came from Spark code, so is more or less > similar

Re: [VOTE] SPIP: XML data source support

+1 I think that porting the package 'as is' into Spark is probably worthwhile. That's relatively easy; the code is already pretty battle-tested and not that big and even originally came from Spark code, so is more or less similar already. One thing it never got was DSv2 support, which means XML

[VOTE] SPIP: XML data source support

Dear Spark community, I would like to start the vote for "SPIP: XML data source support". XML is a widely used data format. An external spark-xml package ( https://github.com/databricks/spark-xml) is available to read and write XML data in spark. Making spark-xml built-in will provide a better

Re: Apache Arrow integration issue with Spark involving Netty

Update! Netty has reverted the affecting change in v4.1.96. See netty commit here[1] and arrow PR to upgrade here[2]. The upcoming release of arrow-memory-netty v13 should work with netty versions <4.1.94 and >=4.1.96. [1]

Time for Spark 3.3.3 release?

Hi Spark devs, Since Apache Spark 3.3.2 tag creation (Feb 11), 60 patches have arrived at branch-3.3. Shall we make a new release, Apache Spark 3.3.3, as the third release at branch-3.3? I'd like to volunteer as the release manager