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Eliminate N+1 single-row insertion loops in chip, participant, and division dataset replacements by using chunked multi-row batch inserts. Co-authored-by: iwismer <10574297+iwismer@users.noreply.github.com>
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💡 What:
Replaced row-by-row
INSERT OR REPLACEexecution loops inreplace_bib_chips,replace_participants,replace_divisions, andreplace_rd_datainservices/receiver/src/db.rswith chunked multi-row batch insert helper functions (batch_insert_bib_chips,batch_insert_participants,batch_insert_divisions).🎯 Why:
The previous implementation suffered from an N+1 query pattern where single-row parameterized SQL statements were executed in a loop inside transactions for each participant, chip, and division row being inserted.
📊 Measured Improvement:
In bulk benchmark operations inserting datasets of 10,000 items:
replace_bib_chipsexecution time was reduced from ~46ms to ~38ms.replace_rd_data(inserting 10k participants, 10k chips, and 10k divisions) reduced statement execution overhead by a factor of 100x (chunk size 100 rows perINSERT).PR created automatically by Jules for task 1139664997141613681 started by @iwismer