Hello Saurabh,
> What config options should we set,
> - if we are always going to read old data written from Spark2.4 using
Spark 3.0
You should set *spark.sql.legacy.parquet.datetimeRebaseModeInRead* to
*LEGACY *when you read old data*.*
You see this exception because Spark 3.0 cannot
Hello,
First of all, Thanks to you guys for maintaining and improving Spark.
We just updated to Spark 3.0.1 and are facing some issues with the new
Proleptic Gregorian calendar.
We have data from different sources in our platform and we saw there were some
date/timestamp columns that go back
