Make test historical retrieval longer

[MattDelac]

What this PR does / why we need it:
In order to have confidence in merging #1602, we want to also benchmark the tests performing historical retrieval on "larger" datasets.
This will ensure that a change in the template SINGLE_FEATURE_VIEW_POINT_IN_TIME_JOIN won't slow down the operations

Which issue(s) this PR fixes:

Fixes #

Does this PR introduce a user-facing change?:

NONE

Make `test_historical_features_from_bigquery_sources()` executed on larger datasets

[feast-ci-bot]

Hi @MattDelac. Thanks for your PR.

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[codecov-commenter]

Codecov Report

Merging #1630 (55b06c2) into master (17231d0) will decrease coverage by 0.00%.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##           master    #1630      +/-   ##
==========================================
- Coverage   83.88%   83.87%   -0.01%     
==========================================
  Files          67       67              
  Lines        5883     5911      +28     
==========================================
+ Hits         4935     4958      +23     
- Misses        948      953       +5     

Flag	Coverage Δ
integrationtests	83.87% <100.00%> (+0.07%)	⬆️
unittests	?

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
sdk/python/tests/test_historical_retrieval.py	98.93% <100.00%> (+0.04%)	⬆️
sdk/python/tests/conftest.py	83.87% <0.00%> (-16.13%)	⬇️
sdk/python/tests/test_init.py	100.00% <0.00%> (ø)

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[MattDelac]

/kind housekeeping

[MattDelac]

/ok-to-test

[feast-ci-bot]

@MattDelac: Cannot trigger testing until a trusted user reviews the PR and leaves an /ok-to-test message.

In response to this:

/ok-to-test

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[achals]

/ok-to-test

[achals]

PASSED [ 66%]
sdk/python/tests/test_historical_retrieval.py::test_historical_features_from_bigquery_sources[False-gcp] 
Time to execute job_from_df.to_df() = '0:00:03.311531'
Time to execute job_from_df.to_df() = '0:00:03.335998'

PASSED [ 67%]
sdk/python/tests/test_historical_retrieval.py::test_historical_features_from_bigquery_sources[False-gcp_custom_offline_config] 
Time to execute job_from_df.to_df() = '0:00:03.019203'
Time to execute job_from_df.to_df() = '0:00:03.901726'

PASSED [ 68%]
sdk/python/tests/test_historical_retrieval.py::test_historical_features_from_bigquery_sources[True-local] 
Time to execute job_from_df.to_df() = '0:00:04.391762'
Time to execute job_from_df.to_df() = '0:00:02.871105'

PASSED [ 69%]
sdk/python/tests/test_historical_retrieval.py::test_historical_features_from_bigquery_sources[True-gcp] 
Time to execute job_from_df.to_df() = '0:00:03.383327'
Time to execute job_from_df.to_df() = '0:00:03.396782'

PASSED [ 70%]
sdk/python/tests/test_historical_retrieval.py::test_historical_features_from_bigquery_sources[True-gcp_custom_offline_config] 
Time to execute job_from_df.to_df() = '0:00:03.640479'
Time to execute job_from_df.to_df() = '0:00:03.284708'

So, 3 seconds? Looks good to me, but curious how much time this took before then?

[achals]

/lgtm

[feast-ci-bot]

[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: achals, MattDelac

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