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Thanks for the great library. I had only one issue so far, and it is as per below:
If you run below command in Jupyter it will fail to execute:
%%sparksql
select cast('9999-12-31 23:59:59' as timestamp)
The same command does not fail using spark.sql() or if you run it with a timestamp less than year 3000, e.g. ('2999-12-31 23:59:59') spark.sql("select cast('9999-12-31 23:59:59' as timestamp)").show()
The database I am using records 'effective to' dates as '9999-12-31 23:59:59'. That is why, when I do a select * from table it fails.
But the same command executes with spark.sql() command.
Cheers,
Jey
The text was updated successfully, but these errors were encountered:
Hi @cryeo ,
Thanks for the great library. I had only one issue so far, and it is as per below:
If you run below command in Jupyter it will fail to execute:
The same command does not fail using spark.sql() or if you run it with a timestamp less than year 3000, e.g. ('2999-12-31 23:59:59')
spark.sql("select cast('9999-12-31 23:59:59' as timestamp)").show()
The database I am using records 'effective to' dates as '9999-12-31 23:59:59'. That is why, when I do a
select * from table
it fails.But the same command executes with spark.sql() command.
Cheers,
Jey
The text was updated successfully, but these errors were encountered: