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There are a lot of complains that the stack trace is really long and doesn't help identify the error.
The solution would be to just print the error that sparkSQL provides.
Renaming column is not supported in Hive-style ALTER COLUMN, please run RENAME COLUMN instead.(line 1, pos 0)
== SQL ==
ALTER TABLE my_table CHANGE COLUMN my_column STRING;
^^^
To Reproduce
After connecting to a spark cluster, run the code below:
I remember the spark compatibility came from an external contributor so I'm unsure if the short_errors option will work, but if it doesn't, feel free to open a PR
I remember the spark compatibility came from an external contributor so I'm unsure if the short_errors option will work, but if it doesn't, feel free to open a PR
@edublancas I tested it, doesn't work on sparkConnect, I'm gonna open a PR
What happens?
There are a lot of complains that the stack trace is really long and doesn't help identify the error.
The solution would be to just print the error that sparkSQL provides.
E.G.
Running this query:
The stack trace should be:
To Reproduce
After connecting to a spark cluster, run the code below:
This should output something like this:
OS:
Linux
JupySQL Version:
0.10.10
Full Name:
Athanasios Keramas
Affiliation:
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