query-patterns

To optimize 1C query performance, refactor loop-based queries into single batch operations and use temporary tables. This prevents N+1 query bottlenecks and improves report load times.

The best way to handle NULLs in 1C LEFT JOIN queries is to apply explicit NULL checks in join conditions. Proper parameterization and NULL handling ensure accurate results without degrading database performance.

Avoiding DISTINCT in 1C query language improves database optimization because it forces the database to perform unnecessary sorting. Selecting specific fields and structuring joins yields distinct results more efficiently.

You need to use the EXPRESSION construct in 1C:Enterprise when querying fields with composite types. It safely casts specific data types, preventing runtime errors and ensuring query reliability.

To optimize virtual table usage in 1C:Enterprise, apply proper parameterization and limit results early. Incorrectly filtered virtual tables cause severe performance bottlenecks, so always define tight boundary conditions.