[WIP] Provide spark catalog, dsv2 and use parquet for copy/unload

[parisni]

This PR:

1. merge #70 for datasource v2 on master fixes #119
2. spark catalog feature for reading and writing and DDL from spark sql to redshift (see readme.md) fixes #118
3. a cache with TTL on s3 for each table (for analytics use cases) fixes #114
4. fixes empty parquet files when no rows in redshift fixes #116
5. provides copy from parquet fixes #117
6. support redshift columns comments and faster tables schema discovery

[parisni]

found out 2 issues on this:

• spark parrallelism to read parquet files = files number. It makes performances bad for reading after the unload. Better to just read the unload folder and skip the manifest stuff
• when the query is cancelled on redshift side, then no error occurs and the lib returns a dataframe with the current state of the content (which is not complete)

[smoy]

Because of an introduction of sensitive materials recently, I have to rewrite history using the procedure here: https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/removing-sensitive-data-from-a-repository

This create a lot more conflict in this pull request. If this PR is still wanted, but probably open a new one instead.

In addition, the AWS contribution has brought along many improvement that included some of the intended features of this original PR. Check https://github.com/spark-redshift-community/spark-redshift/pull/128