Updating large 1C databases often exceeds maintenance windows due to the time required for restructuring and data processing. Optimization techniques can reduce this downtime by several times.
The update process consists of three stages: restructuring, registration of objects for processing, and the execution of additional data handlers. Restructuring is the most time-consuming phase, during which the database is inaccessible.
To optimize restructuring, developers can trim registers by clearing old data or postpone the deletion of fields and enumeration values. These changes can be implemented later during subsequent maintenance windows.
Additional data handlers, which typically run in a single thread, can be parallelized to improve performance. By disabling standard handlers and using custom extensions, developers can split objects into multiple threads, sometimes reaching up to 128 parallel streams.
To monitor progress during non-standard handler execution, a custom information register can be used to track the status, start time, and count of processed objects for each thread.
