Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/18991
Yes. The commercial DBMS products have a very good/comprehensive test
coverage. So far, it is missing in Apache Spark. Basically, we simply trust the
underlying data sources, which are maintained by separate communities. Some of
them are good, but the others might not be stable enough.
Without a good enough test case coverage, anything we did is risky,
especially when we upgrading the releases of these built-in data sources. If
the bug is from Apache Spark, we can simply fix it. However, if ORC/Parquet has
a serious bug, we are unable to fix them for our users. Thus, a comprehensive
test case coverage improvement is a must to have for Apache Spark.
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