⚡ Fix N+1 Query in Email Scanner Deduplication#77
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| const existingScans = await prisma.scannedEmail.findMany({ | ||
| where: { | ||
| userId, |
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Because scanUserInbox() can be invoked concurrently from both the scheduled and manual /api/email/scan paths (app/api/email/scan/route.ts:18-30), this findMany() result is only a snapshot taken before the loop starts. If another in-flight scan inserts a row after this query—or if fetchNewMessages() returns the same Gmail ID twice, since it currently flattens messagesAdded without deduping (lib/email/gmail.ts:113-117)—existingMessageIds stays stale and the later scannedEmail.create() turns what used to be a skipped duplicate into a @@unique([userId, messageId]) violation (prisma/schema.prisma:177).
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- Pre-fetch all existing scanned emails using an `in` query. - Use a `Set` for O(1) existence checks. - This eliminates the N+1 database queries performed when iterating over fetched messages. Co-authored-by: 5queezer <34570565+5queezer@users.noreply.github.com>
- Pre-fetch all existing scanned emails using an `in` query. - Use a `Set` for O(1) existence checks. - This eliminates the N+1 database queries performed when iterating over fetched messages. Co-authored-by: 5queezer <34570565+5queezer@users.noreply.github.com>
- Pre-fetch all existing scanned emails using an `in` query. - Use a `Set` for O(1) existence checks. - This eliminates the N+1 database queries performed when iterating over fetched messages. Co-authored-by: 5queezer <34570565+5queezer@users.noreply.github.com>
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💡 What:
The loop in
scanUserInboxthat deduplicates newly fetched messages against the database has been refactored. Instead of executing a database query for each individual message to check if it exists (prisma.scannedEmail.findUnique), it now extracts all message IDs upfront. It performs a single bulk query (prisma.scannedEmail.findManywith aninclause) to fetch matching message IDs, stores them in aSet, and uses this Set for fast O(1) lookups during the loop.🎯 Why:
The previous implementation suffered from an N+1 query issue. If 50 messages were fetched, it resulted in 50 distinct database queries. This significantly increased database load and execution time due to network latency overhead for each query. This change ensures that only one database query is executed, regardless of the number of messages processed.
📊 Measured Improvement:
While I could not establish a strict execution baseline because the scanner connects to a live Gmail API via an external service which requires a valid OAuth integration, we know conceptually that this is a drastic improvement. A single query with an
INclause replaces N distinct queries, completely eliminating the network round-trip latency associated with each additionalfindUniquecall. This reduces the time complexity of the I/O operation from O(N) to O(1) (with respect to number of messages), greatly enhancing processing speed and reducing database load.PR created automatically by Jules for task 16840684933250202831 started by @5queezer