Data Sync Pro
FAQs
Batch
What is a batch job in general?
Why #Batch?
What technologies are used to build the #Batch engine?
What are the common use cases for #Batch?
How efficiently does #Batch handle large data volumes?
Where do I create a #Batch Executable?
Does #Batch only support cross-org data migrations?
What permissions are required to execute a #Batch?
What is the maximum dataset size that a DSP batch job can process?
What is the maximum batch size that can be set?
How can I chain multiple batch Executables to run in a specific sequence?
How can I schedule Batch jobs?
Can a Pipeline execution be stopped if one of its Executables fails?
Can I apply a common SOQL filter to all Executables in a Pipeline?
How do I easily create Batch Executables for parent–child data syncs?
How are logs tracked for running a #Batch Executable?
Does DSP allow re-execution of failed batches?
Is it possible to revert the changes made a batch execution?
How do I implement incremental retrieval?
What should I consider before enabling Bulk API?
How can I set up notifications for completed batch executions?
How can I test a Batch Executable on a small sample before running it on the full dataset?
How should I structure a complex Batch job with multiple actions?
Does splitting an Apex batch class with multiple actions into multiple batch Executables slow performance a lot?
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