| jobData | The job to schedule. |
| transforms | The TransformAccessArray to run the job on. |
| batchSize | Granularity in which workstealing is performed. For example, a value of 32 means the job queue will steal 32 iterations and then perform them in an efficient inner loop. |
| dependsOn | A JobHandle containing any jobs that must finish executing before this job begins. You can combine multiple jobs with JobHandle.CombineDependencies. Use dependencies to ensure that two jobs that read or write to the same data don't run in parallel. |
JobHandle The handle identifying the scheduled job., which you can use as a dependency for a later job or to ensure completion on the main thread.
Schedules an IJobParallelForTransform job with read-only access to the transform data.
This method assumes the job only requires read-only access to the transform data, and skips any sorting or filtering of the input transforms which would otherwise be necessary for safety purposes. One important consequence is that any null, deleted, or invalid Transforms in the input TransformAccessArray will not be filtered out, and are still passed to worker threads for processing. Jobs that use this scheduling mode should therefore use TransformAccess.isValid to check whether a specific transform instance is valid before processing its data.
This variant passes the job struct by reference instead of by value, which can be faster than IJobParallelForTransformExtensions.ScheduleReadOnly for larger job structs. Note that worker threads always operate on a local copy of the job struct.