Fix the data output exception when accessing Hive using Spark JDBC So…

[Bingz2]

#2084

The data read from hive is the same as the column names, not the real data

If the queryed field type is numeric, the following exception is reported

By looking at the Spark source code, it is found that double quotation marks and column names are used when reading data through Jdbc to stitch column names, so it will result in the correct data not being returned


The solution is to re-implement the Hive dialect

Purpose of this pull request

Check list

• Code changed are covered with tests, or it does not need tests for reason:
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• If necessary, please update the documentation to describe the new feature. https://github.com/apache/incubator-seatunnel/tree/dev/docs