forked from bellwether/minerva
65 lines
2.1 KiB
Python
65 lines
2.1 KiB
Python
import minerva
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from minerva.timing import Timing
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from dask.distributed import Client
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import dask
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########### PREP ############################
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def worker(pier, n):
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mach = pier.machine(ami = "ami-0399a4f70ca684620", # dask on ubuntu 22.04 x86
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instance_type = "t3.medium",
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username = "ubuntu",
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name = f"dask-worker-{n}",
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variables = {"type": "worker",
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"number": n},
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disk_size = 512)
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return mach
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def scheduler(pier):
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mach = pier.machine(ami = "ami-0399a4f70ca684620", # dask on ubuntu 22.04 x86
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instance_type = "t3.medium",
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username = "ubuntu",
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disk_size = 32,
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name = f"dask-scheduler",
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variables = {"type": "scheduler"})
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return mach
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########## CLUSTER ##########################
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m = minerva.Minerva("hay")
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pier = m.pier(subnet_id = "subnet-05eb26d8649a093e1", # project-subnet-public1-us-east-1a
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sg_groups = ["sg-0f9e555954e863954", # ssh
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"sg-0b34a3f7398076545", # default
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"sg-04cd2626d91ac093c"], # dask (8786, 8787)
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key_pair = ("Ari-Brown-HAY", "~/.ssh/Ari-Brown-HAY.pem"),
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iam = "S3+SSM+CloudWatch+ECR")
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cluster = pier.cluster(scheduler, worker, num_workers=2)
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cluster.start()
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########## USAGE ########################
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try:
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client = Client(cluster.public_location)
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print(client)
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athena = m.athena("s3://haystac-pmo-athena/")
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query = athena.query("select * from trajectories.basline where agent < 100")
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df = query.distribute_results(client)
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with Timing("persisting"):
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dp = df.persist()
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with Timing("count()"):
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print(dp.count())
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with Timing("mean latitude"):
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print(dp.latitude.mean().compute())
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with Timing("mean longitude"):
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print(dp.longitude.mean().compute())
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finally:
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########## FIN #######################
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cluster.terminate()
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