perf(sql): use last_course_visit mv for learner summary query

[Ian2012]

Performance improvements for learner summary

# Initial Version

5. individual-learner - Learner Summary
Superset time: 2.011835 (s).
Query duration: 0.17 (s).
Result rows: 100
Memory Usage (MB): 30.506019592285156
Row count (superset) 100
Filters: [{'column': 'emission_time'}]

# Changes for last_visit MV

11. individual-learner - Learner Summary
Superset time: 0.915487 (s).
Query duration: 0.047 (s).
Result rows: 100
Memory Usage (MB): 12.710393905639648
Row count (superset) 100
Filters: [{'column': 'emission_time'}]

Performance improvements for Learner Performance:

# Before
0 rows in set. Elapsed: 2.204 sec. Processed 3.84 million rows, 440.55 MB (1.74 million rows/s., 199.91 MB/s.)
Peak memory usage: 758.23 MiB.

# After
0 rows in set. Elapsed: 0.598 sec. Processed 3.84 million rows, 440.55 MB (6.42 million rows/s., 736.68 MB/s.)
Peak memory usage: 133.32 MiB.

[openedx-webhooks]

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[saraburns1]

Do you need this filter again?

[Ian2012]

I'm not sure, I was quick testing it, I will benchmark it to be sure