Re: [VOTE] SPIP: XML data source support

2023-07-29 Thread Hyukjin Kwon
+1 On Sat, 29 Jul 2023 at 22:49, Maciej wrote: > +1 > > Best regards, > Maciej Szymkiewicz > > Web: https://zero323.net > PGP: A30CEF0C31A501EC > > On 7/29/23 11:28, Mich Talebzadeh wrote: > > +1 for me. > > Though Databriks did a good job releasing the code. > > GitHub - databricks/spark-xml:

Re: [VOTE] SPIP: XML data source support

2023-07-29 Thread Maciej
+1 Best regards, Maciej Szymkiewicz Web:https://zero323.net PGP: A30CEF0C31A501EC On 7/29/23 11:28, Mich Talebzadeh wrote: +1 for me. Though Databriks did a good job releasing the code. GitHub - databricks/spark-xml: XML data source for Spark SQL and DataFrames

Re: [VOTE] SPIP: XML data source support

2023-07-29 Thread Mich Talebzadeh
+1 for me. Though Databriks did a good job releasing the code. GitHub - databricks/spark-xml: XML data source for Spark SQL and DataFrames Mich Talebzadeh, Solutions Architect/Engineering Lead Palantir

Re: [VOTE] SPIP: XML data source support

2023-07-28 Thread Jia Fan
+ 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

2023-07-28 Thread Adrian Pop-Tifrea
+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

2023-07-28 Thread Xiao Li
+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

2023-07-28 Thread Sean Owen
+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

2023-07-28 Thread Sandip Agarwala
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