Hi, I understand there are timeout for a task, do you have timeout for a flow? Also, I want to have only one flow run at a time for a flow, is this possible?

Hi Team, is there any guide about resource planning for a local Prefect agent? I run it in a Kubernetes pod with limited memory allocated. But sometimes the process get killed because of OOM and cause the flow failed to run. My flow should not take too many memory, so I’d like to know if there is any material I can refer to about memory usage of the agent and proper way to plan for it. Thanks.

Morning team! 👋 Q: When a prefect flow is using DaskExecutor and is cancelled is there a way to force the workers to not finish the task they’re working on? What I’m seeing is that dask-workers are gracefully stopped when a flow is cancelled. For long running tasks it can be quite a while before the resources are freed.

Hello, I can’t seem to find the local development guide in the docs anymore, how do I start prefect server & agent locally for the first time?

Hello, when I deploy prefect server using the instructions found here https://github.com/PrefectHQ/server/tree/master/helm/prefect-server I find the UI says

Connected to Prefect Server at <http://localhost:4200/graphql>

However the Apollo GraphQL API URL actually is at an external IP. How would I update this manually on the UI? The getting started tab is not available. I tried to perform a

helm upgrade … --set ui.apolloApiUrl=http://$API_HOST:4200/graphql

the output of this shows

he UI has been configured to point to 'http://<EXTERNAL_IP>:4200/graphql' by default.

which is correct, however when I refer to the UI it still says

Connected to Prefect Server at <http://localhost:4200/graphql>

. How can I ensure this change was made correctly ?

Prefect server stopped working and not responding tried

prefect server stop

and then

prefect server start --detach --use-volume

but it get stuck

$ prefect server start --detach --use-volume
Pulling postgres ... done
Pulling hasura   ... done
Pulling graphql  ... done
Pulling towel    ... done
Pulling apollo   ... done
Pulling ui       ... done
Creating network "prefect-server" with the default driver
temp_data_processing_postgres_1 is up-to-date
Creating temp_data_processing_hasura_1 ... done
temp_data_processing_graphql_1 is up-to-date
Creating temp_data_processing_towel_1  ... done
Creating temp_data_processing_apollo_1 ... done
Creating temp_data_processing_ui_1     ... done

does not detach on on the UI I get

I am trying to run a simple flow to validate that I have my gitlab storage configured correctly. I’ve deployed Prefect Server using the helm chart on Kubernetes, with the agent. I am getting an error that the secret is not found…where/how should I be setting the secret? I had tried exec-ing into the agent and setting it via export but that doesn’t seem to work. That wouldn’t solve the issue of pulling secrets somewhere automatically in any case. I don’t want to set the secret in the flow, since it would be sensitive information. How can I set them via helm or a different way?

Does someone else, having problem with browser cache in the UI: https://github.com/PrefectHQ/ui/issues/1050

Hey folks 👋 We are planning Prefect Server upgrade from 0.13.13 to 0.15.x We are thinking of doing a 3-stage upgrade: from 0.13.13 to 0.13.19, then from 0.13.19 to 0.14.22, then from 0.14.22 to 0.15.x However, we are wondering if we can skip the second stage and go directly from 0.13.19 to 0.15.x Any suggestions?

Hey folks I've just upgraded to 0.15.5 and I'm now getting a Foreign key violation on starting a local prefect server. I run

prefect server start --postgres-port 5433

to start the server (have another postgres instance on my machine hence the port diff) then I get the following error. However despite this and the logs spitting out endless errors the I can still connect agents and register flows and they still work. Any ideas how I can fix this?

Will Automations only be available on Prefect Cloud (not server)? Seems that way, but this documentation page doesn't display the blue "cloud" label that the other cloud-only features (like KV Store) have.

Hello folks, fairly new to Prefect and working to get things set up in a fairly restricted environment. Any tips/tricks to install prefect server/ui using Docker on a server with no internet access?

Hello Team, using Prefect Server (version 0.14.1) with Dask Gateway. I keep seeing this error after building the Docker image and registering the flow. Any insights into what might be causing this?

dask_gateway.client.GatewayClusterError: Cluster 'dask-gateway.227aa200f55a45a091b3cf6a0d037563' failed to start, see logs for more information

Hello, we often find ourselves having to explicitly reschedule flows even when we have enough workers on our DaskKubernetes cluster. is there a common reason this happens?

Hi, I have deployed prefect-server via Helm charts and configured a K8s agent for an on-prem server. I’m seeing that the Kubernetes has 0 submittable runs and i cant seem to trigger a quick run of the demo file. is there any additional config required when submitting/registering a flow, when i set the prefect config?

[server]
  endpoint = "<http://myserver.name/backend>"
  [server.ui]
  endpoint = "<http://myserver.name/>"
  apollo_url= "http:/myserver.name/backend"
[ui]
  endpoint = "<http://myserver.name>"

Hello 👋 We run prefect on-prem, works well 🙌 How do we turn on automations? the docs don’t mention a config section. https://docs.prefect.io/orchestration/concepts/automations.html#automations

Quick question regarding the Docker Agent: I have a VM on which I run Prefect Server + a Docker Agent. Since I am using DockerRun, I need to pull the image from a registry. I have all authorizations properly set up (doing

docker pull myregistry/myimage:latest

from the VM works flawlessly), yet I can’t run my flows since I get a 500:

500 Server Error for <http+docker://localhost/v1.41/images/create?tag=latest&fromImage=myregistry%2Fmyimage>: Internal Server Error ("Head <https://myregistry/v2/myimage/manifests/latest>: unauthorized: authentication required, visit <https://aka.ms/acr/authorization> for more information.")

My registry is on Azure Container Registries and from the VM I am properly logged in and can pull the image. Does the agent need some sort of additional authentication?

Hi Team, using Prefect Server (version 0.14.1) with Dask Gateway. Any insights how to fix this GraphQL error? I don’t see anything on the Dask worker logs.

Hi all 👋 I have a scheduled

Flow

(runs daily on a

Schedule

with a

CronClock

). I'd like to generate names of a particular format for the runs. (Rather than the defaulted random word-pair names). Is that something I can do programmatically as part of the

Flow

object? Can I use a callable to some parameter of the flow to determine run names? Any help is appreciated!

Hi Team, using Prefect Server (version 0.14.1) with Dask Gateway. I am using the

map

method under Flow to run the same task in parallel for different inputs. It is working fine but not using all the Dask workers, which is causing Dask to run into resource/communication errors. How can I tell Prefect flow to run only one mapped task per worker?

Any Apollo maintainers here? Having issues behind ELB of occasional 502 errors, this seems to be similar to the issue I encounted with graphql, where the default framework keep alive timeout is set lower than what AWS ALB ELB uses, causing connection reset issues when the timing is right… This article explains the issue and fix: https://shuheikagawa.com/blog/2019/04/25/keep-alive-timeout/ Be sure to look at the updated part at the bottom setting:

server.keepAliveTimeout = 61 * 1000;
server.headersTimeout = 65 * 1000; // This should be bigger than `keepAliveTimeout + your server's expected response time`

Hi Team, is the

result

parameter in the @task decorator for defining tasks in a flow script mandatory? I am using the

gcs_result

method to save the task results but running into a weird error when its a mapped task trying to write results at the same time I think. this never happened before.

Hello, we have a workflow for a single dataset that we want to run in batch over many datasets. For this we are attempting to create a "super flow" (instead of starting many separate flows in a loop) which creates child flows with create_flow_run. However, the

create_flow_run

task always fails when we use it with

map

. Also, the log does not contain any exceptions or reasons for errors. • Are we doing something wrong or is it a bug? • How can we get full logs of the tasks that are run within create_flow_run? (in parent_flow_succeeding) • The prefect UI shows no runs (zero count, no run history) for parent_flow_succeeding although it was run, it only shows runs for child_flow.

Greetings! Our team used the prefect for 5 month and this is a very cool tool, thank you very much for it! Unfortunately, we have faced an issue that we cannot fix. It seems that we don't catch the architecture or smth else. I hope that our case will be useful for other teams using Prefect. We have an issue with running of the remotely registered Flow. [details moved to the thread]

Hi, it seems prefect-server broke on my end. Whenever I access my public EC2 IP Address, on port 8080 I get "Unable to connect". My security group is already well configured (I tried it with a simple

python -m http.server 8080

and it worked perfectly fine) so it seems to be an issue with prefect server, the thing is I changed absolutely nothing, when the server is running, I can do a

wget localhost:8080

or

wget 0.0.0.0:8080

and get the prefect UI html with no issue, same thing, I can register a flow with no issue. It simply seems to be a connectivity issue between the outside world and my prefect server, despite both 8080 and 4200 ports being opened on EC2

I hope I’m using the right channel. I’m currently running flows from prefect cloud. The agent is installed on a EKS cluster. Jobs run a custom Docker image. When I fire a job the pods crash with the following error:

Traceback (most recent call last):
  File "/usr/local/bin/prefect", line 8, in <module>
    sys.exit(cli())
  File "/usr/local/lib/python3.8/site-packages/click/core.py", line 829, in __call__
    return self.main(*args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/click/core.py", line 782, in main
    rv = self.invoke(ctx)
  File "/usr/local/lib/python3.8/site-packages/click/core.py", line 1259, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "/usr/local/lib/python3.8/site-packages/click/core.py", line 1259, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "/usr/local/lib/python3.8/site-packages/click/core.py", line 1066, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/usr/local/lib/python3.8/site-packages/click/core.py", line 610, in invoke
    return callback(*args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/prefect/cli/execute.py", line 49, in flow_run
    result = client.graphql(query)
  File "/usr/local/lib/python3.8/site-packages/prefect/client/client.py", line 311, in graphql
    raise AuthorizationError(result["errors"])

Any ideas?

hello can someone help me on how i can create mutiple agents using this helm chart ? https://github.com/PrefectHQ/server/tree/master/helm/prefect-server

I am running into an issue importing helper files, deployed on Kubernetes, using KubernetesAgent and DaskExecutor…file structure is:

flows
|____my_flow.py
|____my_tasks.py
|___helpers.py

I am getting

Failed to load and execute Flow's environment: ModuleNotFoundError("No module named 'my_tasks'")

when trying to run the flow in

my_flow

. I have a feeling that what’s happening is the

my_tasks

file only lives on the Agent or Job Pod, and not the Dask pods…any way around this?

Greetings! Is there a way to pass a default run config via env variables? (ECS run)