Running non-blocking Ray computations in the background

superduperdb offers the possiblity to run all long running blocking jobs in the background via ray. Read about the ray project here.

To configure this feature, configure:

cluster:
  compute:
    uri: ray://<ray_host>:<ray_port>

When this is so-configured the following functions push their computations to the ray cluster:

• db.apply
• db.execute (if data is inserted, deleted, updated)

When ray is configured, these functions returns either a superduperdb.job.Job object, or an iterable thereof.

jobs = db.apply(<component>)[0]