Can you try once by creating your own schema file and using it to read the XML.
I had similar issue but got that resolved by custom schema and by specifying
each attribute in that.
Pradeep
> On May 1, 2016, at 9:45 AM, Hyukjin Kwon wrote:
>
> To be more clear,
>
> If you set the rowTag as "
To be more clear,
If you set the rowTag as "book", then it will produces an exception which
is an issue opened here, https://github.com/databricks/spark-xml/issues/92
Currently it does not support to parse a single element with only a value
as a row.
If you set the rowTag as "bkval", then it sh
Hi Sourav,
I think it is an issue. XML will assume the element by the rowTag as object.
Could you please open an issue in
https://github.com/databricks/spark-xml/issues please?
Thanks!
2016-05-01 5:08 GMT+09:00 Sourav Mazumder :
> Hi,
>
> Looks like there is a problem in spark-xml if the xml
Hi,
Looks like there is a problem in spark-xml if the xml has multiple
attributes with no child element.
For example say the xml has a nested object as below
bk_113
bk_114
Now if I create a dataframe starting with rowtag bkval and then I do a
select on that data frame it gives
