Add persistence for localfs datasets

[VladOS95-cyber]

What does this PR do?

Add persistency logic for localfs datasetio provider

• Addresses issue (#issue)

Test Plan

Please describe:

• tests you ran to verify your changes with result summaries.
• provide instructions so it can be reproduced.

Sources

Please link relevant resources if necessary.
#539

Before submitting

• This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
• Ran pre-commit to handle lint / formatting issues.
• Read the contributor guideline,
  Pull Request section?
• Updated relevant documentation.
• Wrote necessary unit or integration tests.

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[VladOS95-cyber]

Hi @ashwinb @yanxi0830 @hardikjshah @dltn @raghotham! This PR is ready for a review. Please, take a look.

[yanxi0830]

Hi @VladOS95-cyber thanks for the PR, could you attach the tests you ran in the test plan?

[VladOS95-cyber]

Hi @yanxi0830! My test results:

I don't think that my changes is a root cause of failed one. I found that in def get_dataframe_from_url(url: URL): in url_utils.py, df = pandas.read_excel(data_bytes) line 41 tries to read data_bytes that was converted from text type 'mimetype': 'application/vnd.ms-excel'. pandas.read_excel throws an expection trying to read it and it does not matter if we specify engines manually or not. But it could successfully read by pandas.read_csv(data_bytes) and does not throw any exceptions and all tests are green. It seems when it deals with in memory bytes or old xml formats it cannot properly read the data. By the way, all necessary dependencies like xlrd and openpyxl i installed, so it should not be a problem.
I could try to provide my fix for it if it is needed, or I miss something here?

[VladOS95-cyber]

Hi @yanxi0830! Just a kind reminder, please take a look when you have time, in order to not lose this PR.