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Optimize user pp breakdown chart query

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Quantum 2023-02-20 15:52:18 -05:00 committed by Tudor Brindus
parent 9ce1077a2b
commit e82687d563
1 changed files with 17 additions and 13 deletions
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30
judge/performance_points.py
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@ -14,8 +14,10 @@ PPBreakdown = namedtuple('PPBreakdown', 'points weight scaled_points problem_nam
def get_pp_breakdown(user, start=0, end=settings.DMOJ_PP_ENTRIES):
join_type = 'STRAIGHT_JOIN' if connection.vendor == 'mysql' else 'INNER JOIN'
with connection.cursor() as cursor:
cursor.execute("""
cursor.execute(f"""
SELECT max_points_table.problem_code,
max_points_table.problem_name,
max_points_table.max_points,
@ -26,24 +28,26 @@ def get_pp_breakdown(user, start=0, end=settings.DMOJ_PP_ENTRIES):
judge_submission.result,
judge_language.short_name,
judge_language.key
FROM judge_submission
JOIN (SELECT judge_problem.id problem_id,
judge_problem.name problem_name,
judge_problem.code problem_code,
MAX(judge_submission.points) AS max_points
FROM (
SELECT judge_problem.id problem_id,
judge_problem.name problem_name,
judge_problem.code problem_code,
MAX(judge_submission.points) AS max_points
FROM judge_problem
INNER JOIN judge_submission ON (judge_problem.id = judge_submission.problem_id)
WHERE (judge_problem.is_public = True AND
judge_problem.is_organization_private = False AND
WHERE (judge_problem.is_public AND
NOT judge_problem.is_organization_private AND
judge_submission.points IS NOT NULL AND
judge_submission.user_id = %s)
GROUP BY judge_problem.id
HAVING MAX(judge_submission.points) > 0.0) AS max_points_table
ON (judge_submission.problem_id = max_points_table.problem_id AND
HAVING MAX(judge_submission.points) > 0.0
) AS max_points_table
{join_type} judge_submission ON (
judge_submission.problem_id = max_points_table.problem_id AND
judge_submission.points = max_points_table.max_points AND
judge_submission.user_id = %s)
JOIN judge_language
ON judge_submission.language_id = judge_language.id
judge_submission.user_id = %s
)
{join_type} judge_language ON (judge_submission.language_id = judge_language.id)
GROUP BY max_points_table.problem_id
ORDER BY max_points DESC, judge_submission.date DESC
LIMIT %s OFFSET %s