Added a complex array and Spark ML Jupyter example

[ai-bq]

Summary

A common use case for users of the connector is Spark's ML tools. Additionally, Jupyter is an easy way to run examples that allows for the user to experiment and make modifications without having to rebuild examples.

Description

Added an example of Spark's Linear Regression algorithm as well as a complex array writing example.

Related Issue

Closes #436.

Additional Reviewers

@alexey-temnikov @alexr-bq @jonathanl-bq @jeremyp-bq

[codecov[bot]]

Codecov Report

Merging #530 (7d96451) into main (61b2798) will not change coverage. The diff coverage is n/a.

@@           Coverage Diff           @@
##             main     #530   +/-   ##
=======================================
  Coverage   87.55%   87.55%           
=======================================
  Files          44       44           
  Lines        2000     2000           
  Branches      116      114    -2     
=======================================
  Hits         1751     1751           
  Misses        249      249           

Flag	Coverage Δ
unittests	87.55% <ø> (ø)

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Impacted Files	Coverage Δ
...la/com/vertica/spark/util/schema/SchemaTools.scala	88.55% <0.00%> (ø)

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[alexey-temnikov]

spark-connector/examples/jupyter/README.md should be updated to include this example, as well as describe what this example is about.

[alexey-temnikov]

Command - "docker-compose --profile jupyter up -d" will not work from spark-connector/examples/jupyter/ as there is no docker-compose file. Instructions need to be fixed.

[jeremyprime]

Do we need to add/update the examples here based on this PR?: https://github.com/vertica/vertica-demo/pull/155

[ai-bq]

Do we need to add/update the examples here based on this PR?: vertica/vertica-demo#155

Yes, I will compare the two and update this set.