[TASK] Bulk insert functional test data sets - #744
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Functional CSV data sets currently execute one INSERT statement for every row. Large fixtures therefore spend most of their setup time on database round trips. Resolve column types once per table, keep the required JSON conversion, and pass all rows to Connection::bulkInsert(). The connection automatically splits statements at the platform parameter limit, while empty data sets and sequence resets retain their existing behavior. For the 743-row RootlineUtility fixture, this reduces runtime by 28% on PostgreSQL, 48% on SQLite, and 80% on MariaDB.
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Functional CSV data sets currently execute one INSERT statement for every row. Large fixtures therefore spend most of their setup time on database round trips.
Resolve column types once per table, keep the required JSON conversion, and pass all rows to Connection::bulkInsert(). The connection automatically splits statements at the platform parameter limit, while empty data sets and sequence resets retain their existing behavior.
For the 743-row RootlineUtility fixture, this reduces runtime by 28% on PostgreSQL, 48% on SQLite, and 80% on MariaDB.