Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/16685
To support the UPSERT, this PR basically implements it by using SELECT,
UPDATE and INSERT. It has to read the whole table from the JDBC-connected
database, and process it in Spark. It does not perform well when the target
table is huge. We are still facing the same issue caused by the UPDATE.
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