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Optimize date filtering for spend logs queries (#17073)

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This should allow postgres to perform a more efficient index scan instead of a sequential table scan.

These two queries consistently show up in the longest-running ones in our instance, and are a major latency source for the usage page on the admin UI.
This commit is contained in:
Carlo Alberto Ferraris
2025-11-25 19:36:25 -08:00
committed by GitHub
parent e6e1e8fca4
commit a727f71b19
1 changed files with 2 additions and 2 deletions
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litellm/proxy/spend_tracking/spend_management_endpoints.py
+2 -2
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@@ -1427,7 +1427,7 @@ async def _get_spend_report_for_time_range(
LEFT JOIN
"LiteLLM_TeamTable" t ON s.team_id = t.team_id
WHERE
s."startTime"::DATE >= $1::date AND s."startTime"::DATE <= $2::date
s."startTime" >= $1::date AND s."startTime" < ($2::date + INTERVAL '1 day')
GROUP BY
t.team_alias
ORDER BY
@@ -1441,7 +1441,7 @@ async def _get_spend_report_for_time_range(
jsonb_array_elements_text(request_tags) AS individual_request_tag,
SUM(spend) AS total_spend
FROM "LiteLLM_SpendLogs"
WHERE "startTime"::DATE >= $1::date AND "startTime"::DATE <= $2::date
WHERE "startTime" >= $1::date AND "startTime" < ($2::date + INTERVAL '1 day')
GROUP BY individual_request_tag
ORDER BY total_spend DESC;
"""