问题描述
我在GCE控制台中看到了Dataflow为我的工作创建的GCE实例.如果删除它们会怎样?
I see the GCE instances that Dataflow created for my job in the GCE console. What happens if I delete them?
推荐答案
手动更改由Google Cloud Dataflow设置的资源是不受支持的操作.这会干扰Dataflow的清理过程，并可能会导致剩余资源，从而导致额外费用.特别是，删除流式Dataflow作业的VM可能会留下永久性磁盘，仍将对其计费.
Manually altering resources provisioned by Google Cloud Dataflow is an unsupported operation. It will interfere with Dataflow’s clean-up process and might result in leftover resources and therefore extra cost. In particular, deleting the VMs of a streaming Dataflow job might leave persistent disks around, which will still be billed.
也不支持将Dataflow调配的VM或永久磁盘用于Dataflow作业以外的其他目的.不要尝试将磁盘重新连接到其他计算机，也不要试图让VM运行其他独立程序.数据流服务可能会随时删除这些资源，而不会发出警告，并且这些资源上的所有数据都会丢失.
Using the Dataflow provisioned VMs or Persistent Disks for other purposes than the Dataflow job is also not supported. Do not attempt to reattach the disks to other machines, or to get the VMs to run other independent programs. The Dataflow service might get rid of these resources at any point, without warning, and any data on these resources will be lost.
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