Document Spark SQL

[gatear]

Mention how complex types map from Faker schema to Spark types.

[what-the-diff[bot]]

PR Summary

• Minor Grammatical Changes Some slight improvements have been made to the text in the code, making it more grammatically accurate.

• Improvement in Formatting The structure of certain code segments has been enhanced for better readability and understanding.

• Introduction of "Spark SQL" Section A new part has been added, entitled "Spark SQL". This explains our software's extended functionality for managing complex data types with Spark, a popular data processing engine.

• Addition of Code Illustrations We have provided beneficial code examples in both Java and Kotlin languages to better illustrate the workings of the Spark SQL schema – a layout that defines how data is organized in Spark.

• Inclusion of SQL Insert Statement For added clarity, we have depicted an expected SQL insert statement. This shows how data should ideally be added to our Spark SQL schema.

[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 91.92%. Comparing base (b37c566) to head (a3474a3). Report is 172 commits behind head on main.

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Additional details and impacted files

```diff @@ Coverage Diff @@ ## main #1270 +/- ## ============================================ - Coverage 92.35% 91.92% -0.44% - Complexity 2821 3090 +269 ============================================ Files 292 310 +18 Lines 5609 6052 +443 Branches 599 636 +37 ============================================ + Hits 5180 5563 +383 - Misses 275 326 +51 - Partials 154 163 +9 ```

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[snuyanzin]

thanks for the contribution I feel like at some point we have to have kind of compatibility matrix: what is supported for what dialect... However it is a topic for a separate PR/issue