Data processing pipelines need to be executed at scales ranging from small runs up through large production data release runs resulting in millions of data products. As part of the Rubin Observatory's pipeline execution system, BPS is the abstraction layer that provides an interface to different Workflow Management Systems (WMS) such as HTCondor and PanDA. During the submission process, the pipeline execution system interacts with the Data Butler to produce a science-oriented execution graph from algorithmic tasks. BPS converts this execution graph to a workflow graph and then uses a WMS-specific plugin to submit and manage the workflow. Here we will discuss the architectural design of this interface and report briefly on the recent production of the Data Preview 0.2 release and how the system is used by pipeline developers.

翻译：在提交过程中,管道执行系统与数据驱动器互动,从算法任务中产生科学化的执行图。BPS将这一执行图转换成工作流程图,然后使用一个特定的WMS插件提交和管理工作流程。在这里,我们将讨论该界面的建筑设计,并简要报告最近制作的数据预览0.2发布以及管道开发者如何使用该系统的情况。