perf: improve getTotalBookingDuration query

[Udit-takkar]

What does this PR do?

This PR fixes N+1 query in getTotalBookingDuration function.

Set this "Limit total booking duration" option with Per year

Before:-

This query was executed for n+1 times.

 Aggregate  (cost=8.18..8.19 rows=1 width=8) (actual time=0.028..0.032 rows=1 loops=1)
   Buffers: shared hit=1
   ->  Index Scan using "Booking_eventTypeId_status_idx" on "Booking"  (cost=0.14..8.17 rows=1 width=16) (actual time=0.014..0.014 rows=0 loops=1)
         Index Cond: (("eventTypeId" = 52) AND (status = 'accepted'::"BookingStatus"))
         Filter: (("startTime" >= '2026-01-01 00:00:00'::timestamp without time zone) AND ("endTime" <= '2026-12-31 23:59:59.999'::timestamp without time zone))
         Buffers: shared hit=1
 Planning:
   Buffers: shared hit=409
 Planning Time: 3.336 ms
 Execution Time: 0.129 ms
(10 rows)

After:-

Only single query per year needed now, and it is reused for all users (no per‑user query).

Updates since last revision

• Fixed test isolation issue in durationLimits.integration-test.ts: replaced direct process.env deletion with vi.stubEnv() for automatic restoration after tests (issue identified by Cubic AI, confidence 9/10)

Mandatory Tasks (DO NOT REMOVE)

• I have self-reviewed the code (A decent size PR without self-review might be rejected).
• N/A I have updated the developer docs in /docs if this PR makes changes that would require a documentation change. If N/A, write N/A here and check the checkbox.
• N/A I confirm automated tests are in place that prove my fix is effective or that my feature works.

How should this be tested?

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Link to Devin run: https://app.devin.ai/sessions/a2ba9c6b40db40c9be060ce18c6eaa94

[cubic-dev-ai]

No issues found across 4 files

[hariombalhara]

Need confirmation whether there is a bug fix as well here

added integration test with fix

[github-actions]

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[hariombalhara]

https://app.graphite.com/github/pr/calcom/cal.com/27383/perf-improve-getTotalBookingDuration-query#comment-PRRC_kwDOFOISeM6l1CU3

I think we should add this warning because the code which prefetches and code that reads the prefetched data, it is good to have a warning

[github-actions]

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Done