Docs Connect Components Processors parallel parallel Available in: Cloud, Self-Managed A processor that applies a list of child processors to messages of a batch as though they were each a batch of one message (similar to the for_each processor), but where each message is processed in parallel. # Config fields, showing default values label: "" parallel: cap: 0 processors: [] # No default (required) The field cap, if greater than zero, caps the maximum number of parallel processing threads. The functionality of this processor depends on being applied across messages that are batched. You can find out more about batching in Message Batching. Fields cap The maximum number of messages to have processing at a given time. Type: int Default: 0 processors A list of child processors to apply. Type: array Back to top × Simple online edits For simple changes, such as fixing a typo, you can edit the content directly on GitHub. Edit on GitHub Or, open an issue to let us know about something that you want us to change. Open an issue Contribution guide For extensive content updates, or if you prefer to work locally, read our contribution guide . Was this helpful? thumb_up thumb_down group Ask in the community mail Share your feedback group_add Make a contribution openai_translation parquet