Learning To Rank feature logging should support query limits

Currently the feature extraction that happens at re-scoring time is separated from the feature extraction that happens with the feature logger transformer.
This has various implications, especially for caching and query limits support:
-Features extracted for rescoring are not cached and re-used for logging and vice-versa

• when features are extracted for logging and presentation, no query limit is checked

Scope of this issue is just to address the second point:
Query Limits should be checked when feature extraction happens for feature logging.
If a limit is exceeded a partial result should returned (flagged as partial).

A possible approach is to check the query limit after each document.
So the partial result will present the feature vector only for the docs Solr processed within the time limit and no more.