yaooqinn opened a new pull request, #36373:
URL: https://github.com/apache/spark/pull/36373
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### What changes were proposed in this pull request?
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The PR is mainly refactoring, aiming to support TimestampNTZ/LTZ at the same
time in the future for the thrift server.
As we all know, in spark, we hive dependencies, which can be classified into
two types:
- as a client, for accessing hive metastore/storage, etc, which is now
v2.3.9, better to stay in a stable low version to be supported by higher hive
metastore servers with backward compatibility
- as a server, for being accessed by Hive JDBC/Thrift client, e.g. beeline,
which is now v3.1.2, better to have a higher version to support more clients
The problem here is that we now convert spark results to
`org.apache.hadoop.hive.serde2.thrift.Type` first and then to
`org.apache.hive.service.rpc.thrift.TTypeId`. the former does not have 2
timestamp types, namely, doesn't have `TIMESTAMPLOCALTZ_TYPE`.
To avoid this, we take a shortcut to map spark results to thrift schema and
rowset directly.
Besides, it also can avoid some unnecessary memory copies from type to type.
Most functionalities have been verified in
[apache/kyuubi](https://github.com/apache/incubator-kyuubi) for several years.
### Why are the changes needed?
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for supporting more spark datatypes through hive jdbc
### Does this PR introduce _any_ user-facing change?
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existing ut shall be enough
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