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Spark ODBC is really faster than Hive, at least for GUI.However, two things are missing :1/ Append existing for the write date (exists his way on Hive)
2/ability to put "overwrite" even if the table does not exist (it works this way on Hive)
These two drawbacks limit severly th
It appears that the overwriting of a non-existent table didn't generate any error in 10.6 on Hive... but generates also an error in 2018.3. This is big regression we will have to investigate with the support.
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