Add features to HBase tables using full schema (master, anomaly)

[JulienPeloton]

IMPORTANT: Please create an issue first before opening a Pull Request.
Linked to issue(s): Closes #750

What changes were proposed in this pull request?

This PR expands the schema of objects pushed in HBase tables. Only tables receiving full schema objects are affected: ztf, ztf.anomaly. Note that as the features are struct, but HBase only accepts string or binary, we cast the features in string. In principle, this means:

>>> df = cast_features(df)
>>> df.printSchema()
DataFrame[..., lc_features_g: string, lc_features_r: string, ...]

You would then decode them using for example the json package:

>>> import json
>>> pdf = df.select('lc_features_g').toPandas()
>>> features = pdf['lc_features_g'].apply(lambda x: json.loads(x))

How was this patch tested?

CI

[JulienPeloton]

The Sentinel job keeps failing because raw2science reads no data (despite the fact 2 data files are seen...). Intriguing:

...
23/11/06 20:47:56 INFO InternalParquetRecordReader: RecordReader initialized will read a total of 0 records.
23/11/06 20:47:56 INFO InternalParquetRecordReader: RecordReader initialized will read a total of 0 records.
...

I've launched the test suite from within the docker container (julienpeloton/fink-ci:dev), and I got no errors...

[sonarcloud]

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0.0% Duplication

[JulienPeloton]

Merging since these errors are unlikely related to the change here.

• Sentinel is failing while tests in the Docker container works perfectly
• e2e workflow has timeout errors in the checking results section, likely related to helm.