During initial data loading, AP analytical scenarios often require importing massive datasets.
If the traditional serial loading approach is used, loading tens or even hundreds of millions of rows from InnoDB into Rapid can take an excessively long time, severely delaying the start of analytical tasks. To address this, the Rapid engine introduces coroutine-based parallel parsing, accelerating column data parsing and assembly to significantly reduce query rendering time for wide tables.
During initial data loading, AP analytical scenarios often require importing massive datasets. If the traditional serial loading approach is used, loading tens or even hundreds of millions of rows from InnoDB into Rapid can take an excessively long time, severely delaying the start of analytical tasks. To address this, the Rapid engine introduces coroutine-based parallel parsing, accelerating column data parsing and assembly to significantly reduce query rendering time for wide tables.