Josh,
Thank you for your reply. I will take a look at your suggestions.
Thanks,
Paul
Hi Paul,
Unfortunately out of the box the Spark integration doesn't support saving to
dynamic columns. It's worth filing a JIRA enhancement over, and if you're
interested in contributing a patch, here's
Hi Paul,
Unfortunately out of the box the Spark integration doesn't support saving
to dynamic columns. It's worth filing a JIRA enhancement over, and if
you're interested in contributing a patch, here's the following spots I
think would need enhancing:
The saving code derives the column names to
Is it possible to save a dataframe into a table where the columns are dynamic?
For instance, I have a loaded a CSV file with header (key, cat1, cat2) into a
dataframe. All values are strings. I created a table like this: create table
mytable ("KEY" varchar not null primary key); The code is as
