Styjun

Calculating Wattage for Resistor in High Frequency Application?

Is the U.S. Code copyrighted by the Government?

"Spoil" vs "Ruin"

Non-trope happy ending?

Lowest total scrabble score

Are paving bricks differently sized for sand bedding vs mortar bedding?

Can I sign legal documents with a smiley face?

What is the evidence for the "tyranny of the majority problem" in a direct democracy context?

Should I outline or discovery write my stories?

Removing files under particular conditions (number of files, file age)

Is there a working SACD iso player for Ubuntu?

2.8 Why are collections grayed out? How can I open them?

Loading commands from file

How to explain what's wrong with this application of the chain rule?

The IT department bottlenecks progress. How should I handle this?

Strong empirical falsification of quantum mechanics based on vacuum energy density

How to indicate a cut out for a product window

Store Credit Card Information in Password Manager?

What should you do if you miss a job interview (deliberately)?

Which one is correct as adjective “protruding” or “protruded”?

What does routing an IP address mean?

C++ debug/print custom type with GDB : the case of nlohmann json library

Does an advisor owe his/her student anything? Will an advisor keep a PhD student only out of pity?

Why Shazam when there is already Superman?

Wrong ip in serialized dask.distributed.Queue() objects: Failed to deserialize

Terracotta Disabling L2 cache and object serializationHow to find why a task fails in dask distributed?Dask “no module named xxxx” errorVersion in “./docker-compose.yml” is unsupported. You might be seeing this error because you're using the wrong Compose file versionSetting up a dask distributed scheduler on two IP addresses?Accessing bokeh server using dask distributed via ssh tunnellingDask worker failing to deserialize taskDask distributed Failed to deserialize with numpy.arrays and sparse.matricesdask failed in merge operation and the reason is memory errorFailing on Bag.to_avro becase of Killed/MemoryError on a large dataset

1

I am running a small dask distributed cluster using docker-compose (also tested using docker swarm), and connecting to it from my local laptop.

I'm trying to run a small test using dask.distributed.Queue(). Those do not deserialize properly on the workers, as they contain the ip:port used to connect to the cluster (scheduler) from my local laptop, not the ip available inside the docker compose virtual network.

How should I connect to the cluster, or set the cluster up, so that Queue() objects serialize with the proper scheduler address?

Error messages:

distributed.protocol.pickle - INFO - Failed to deserialize b'x80x04x95x9bx00x00x00x00x00x00x00x8cx12distributed.queuesx94x8cx05Queuex94x93x94)x81x94x8c&queue-7f344bb49fac489e9b330c7ec5ebb736x94x8cx14tcp://localhost:8786x94x86x94bhx02)x81x94x8c&queue-896fde1ea60a426f98846735372b33c7x94hx05x86x94bx86x94.'

OSError: Timed out trying to connect to 'tcp://localhost:8786' after 10 s: in <distributed.comm.tcp.TCPConnector object at 0x7ffa5cc49588>: OSError: [Errno 99] Cannot assign requested address

Test code:

import dask.distributed
import dask.bag as db

client = dask.distributed.Client('localhost:8786')

q = dask.distributed.Queue()

def foo(q1, q2):
 while True:
 d = q1.get()
 print(d)
 q2.put(d)


q1 = dask.distributed.Queue()
q2 = dask.distributed.Queue()
client.submit(foo, q1, q2)

docker-compose.yml

version: '3'
services:
 scheduler:
 hostname: scheduler
 image: daskdev/dask
 command: dask-scheduler
 ports:
 - "8786:8786"
 - "8787:8787"
 volumes:
 - /:/host
 worker-1:
 hostname: worker-1
 image: daskdev/dask
 command: dask-worker scheduler:8786
 depends_on:
 - scheduler
 volumes:
 - /:/host

docker-compose distributed dask

share|improve this question

asked 2 days ago

Egil MöllerEgil Möller

111

add a comment | 

1

I am running a small dask distributed cluster using docker-compose (also tested using docker swarm), and connecting to it from my local laptop.

I'm trying to run a small test using dask.distributed.Queue(). Those do not deserialize properly on the workers, as they contain the ip:port used to connect to the cluster (scheduler) from my local laptop, not the ip available inside the docker compose virtual network.

How should I connect to the cluster, or set the cluster up, so that Queue() objects serialize with the proper scheduler address?

Error messages:

distributed.protocol.pickle - INFO - Failed to deserialize b'x80x04x95x9bx00x00x00x00x00x00x00x8cx12distributed.queuesx94x8cx05Queuex94x93x94)x81x94x8c&queue-7f344bb49fac489e9b330c7ec5ebb736x94x8cx14tcp://localhost:8786x94x86x94bhx02)x81x94x8c&queue-896fde1ea60a426f98846735372b33c7x94hx05x86x94bx86x94.'

OSError: Timed out trying to connect to 'tcp://localhost:8786' after 10 s: in <distributed.comm.tcp.TCPConnector object at 0x7ffa5cc49588>: OSError: [Errno 99] Cannot assign requested address

Test code:

import dask.distributed
import dask.bag as db

client = dask.distributed.Client('localhost:8786')

q = dask.distributed.Queue()

def foo(q1, q2):
 while True:
 d = q1.get()
 print(d)
 q2.put(d)


q1 = dask.distributed.Queue()
q2 = dask.distributed.Queue()
client.submit(foo, q1, q2)

docker-compose.yml

version: '3'
services:
 scheduler:
 hostname: scheduler
 image: daskdev/dask
 command: dask-scheduler
 ports:
 - "8786:8786"
 - "8787:8787"
 volumes:
 - /:/host
 worker-1:
 hostname: worker-1
 image: daskdev/dask
 command: dask-worker scheduler:8786
 depends_on:
 - scheduler
 volumes:
 - /:/host

docker-compose distributed dask

share|improve this question

asked 2 days ago

Egil MöllerEgil Möller

111

add a comment | 

I am running a small dask distributed cluster using docker-compose (also tested using docker swarm), and connecting to it from my local laptop.

I'm trying to run a small test using dask.distributed.Queue(). Those do not deserialize properly on the workers, as they contain the ip:port used to connect to the cluster (scheduler) from my local laptop, not the ip available inside the docker compose virtual network.

How should I connect to the cluster, or set the cluster up, so that Queue() objects serialize with the proper scheduler address?

Error messages:

distributed.protocol.pickle - INFO - Failed to deserialize b'x80x04x95x9bx00x00x00x00x00x00x00x8cx12distributed.queuesx94x8cx05Queuex94x93x94)x81x94x8c&queue-7f344bb49fac489e9b330c7ec5ebb736x94x8cx14tcp://localhost:8786x94x86x94bhx02)x81x94x8c&queue-896fde1ea60a426f98846735372b33c7x94hx05x86x94bx86x94.'

OSError: Timed out trying to connect to 'tcp://localhost:8786' after 10 s: in <distributed.comm.tcp.TCPConnector object at 0x7ffa5cc49588>: OSError: [Errno 99] Cannot assign requested address

Test code:

import dask.distributed
import dask.bag as db

client = dask.distributed.Client('localhost:8786')

q = dask.distributed.Queue()

def foo(q1, q2):
 while True:
 d = q1.get()
 print(d)
 q2.put(d)


q1 = dask.distributed.Queue()
q2 = dask.distributed.Queue()
client.submit(foo, q1, q2)

docker-compose.yml

version: '3'
services:
 scheduler:
 hostname: scheduler
 image: daskdev/dask
 command: dask-scheduler
 ports:
 - "8786:8786"
 - "8787:8787"
 volumes:
 - /:/host
 worker-1:
 hostname: worker-1
 image: daskdev/dask
 command: dask-worker scheduler:8786
 depends_on:
 - scheduler
 volumes:
 - /:/host

docker-compose distributed dask

share|improve this question

asked 2 days ago

Egil MöllerEgil Möller

111

distributed.protocol.pickle - INFO - Failed to deserialize b'x80x04x95x9bx00x00x00x00x00x00x00x8cx12distributed.queuesx94x8cx05Queuex94x93x94)x81x94x8c&queue-7f344bb49fac489e9b330c7ec5ebb736x94x8cx14tcp://localhost:8786x94x86x94bhx02)x81x94x8c&queue-896fde1ea60a426f98846735372b33c7x94hx05x86x94bx86x94.'

OSError: Timed out trying to connect to 'tcp://localhost:8786' after 10 s: in <distributed.comm.tcp.TCPConnector object at 0x7ffa5cc49588>: OSError: [Errno 99] Cannot assign requested address

import dask.distributed
import dask.bag as db

client = dask.distributed.Client('localhost:8786')

q = dask.distributed.Queue()

def foo(q1, q2):
 while True:
 d = q1.get()
 print(d)
 q2.put(d)


q1 = dask.distributed.Queue()
q2 = dask.distributed.Queue()
client.submit(foo, q1, q2)

version: '3'
services:
 scheduler:
 hostname: scheduler
 image: daskdev/dask
 command: dask-scheduler
 ports:
 - "8786:8786"
 - "8787:8787"
 volumes:
 - /:/host
 worker-1:
 hostname: worker-1
 image: daskdev/dask
 command: dask-worker scheduler:8786
 depends_on:
 - scheduler
 volumes:
 - /:/host

share|improve this question

asked 2 days ago

Egil MöllerEgil Möller

111

share|improve this question

asked 2 days ago

Egil MöllerEgil Möller

111

asked 2 days ago

Egil MöllerEgil Möller

111

asked 2 days ago

Egil MöllerEgil Möller

111