When I try to run dramatiq from the command line, it gives me the below error.
I'm currently using RabbitMQ.
[Thread-2] [dramatiq.worker.ConsumerThread(default)] [CRITICAL] Consumer encountered a connection error: (406, "PRECONDITION_FAILED - inequivalent arg 'x-dead-letter-routing-key'for queue 'default' in vhost '/': received the value 'default.XQ' of type 'longstr' but current is none")
This is what I have done until now.
import dramatiq
from dramatiq import get_logger
logger = get_logger(__name__)
#dramatiq.actor
def myfunction():
Related
error code :
Failed to close task manager due to the following error:
java.lang.NoClassDefFoundError: Could not initialize class org.rocksdb.DBOptions
at org.apache.kafka.streams.state.internals.RocksDBStore.openDB(RocksDBStore.java:133)
at org.apache.kafka.streams.state.internals.TimestampedSegment.openDB(TimestampedSegment.java:49)
at org.apache.kafka.streams.state.internals.TimestampedSegments.getOrCreateSegment(TimestampedSegments.java:50)
at org.apache.kafka.streams.state.internals.TimestampedSegments.getOrCreateSegment(TimestampedSegments.java:25)
at org.apache.kafka.streams.state.internals.AbstractSegments.getOrCreateSegmentIfLive(AbstractSegments.java:84)
at org.apache.kafka.streams.state.internals.AbstractRocksDBSegmentedBytesStore.put(AbstractRocksDBSegmentedBytesStore.java:146)
at org.apache.kafka.streams.state.internals.RocksDBWindowStore.put(RocksDBWindowStore.java:61)
at org.apache.kafka.streams.state.internals.RocksDBWindowStore.put(RocksDBWindowStore.java:27)
at org.apache.kafka.streams.state.internals.ChangeLoggingWindowBytesStore.put(ChangeLoggingWindowBytesStore.java:111)
at org.apache.kafka.streams.state.internals.ChangeLoggingWindowBytesStore.put(ChangeLoggingWindowBytesStore.java:34)
at org.apache.kafka.streams.state.internals.CachingWindowStore.putAndMaybeForward(CachingWindowStore.java:106)
at org.apache.kafka.streams.state.internals.CachingWindowStore.lambda$initInternal$0(CachingWindowStore.java:86)
at org.apache.kafka.streams.state.internals.NamedCache.flush(NamedCache.java:151)
at org.apache.kafka.streams.state.internals.NamedCache.flush(NamedCache.java:109)
at org.apache.kafka.streams.state.internals.ThreadCache.flush(ThreadCache.java:124)
at org.apache.kafka.streams.state.internals.CachingWindowStore.flush(CachingWindowStore.java:291)
at org.apache.kafka.streams.state.internals.WrappedStateStore.flush(WrappedStateStore.java:84)
at org.apache.kafka.streams.state.internals.MeteredWindowStore.lambda$flush$4(MeteredWindowStore.java:200)
at org.apache.kafka.streams.processor.internals.metrics.StreamsMetricsImpl.maybeMeasureLatency(StreamsMetricsImpl.java:801)
at org.apache.kafka.streams.state.internals.MeteredWindowStore.flush(MeteredWindowStore.java:200)
at org.apache.kafka.streams.processor.internals.ProcessorStateManager.flush(ProcessorStateManager.java:282)
at org.apache.kafka.streams.processor.internals.StreamTask.suspend(StreamTask.java:647)
at org.apache.kafka.streams.processor.internals.StreamTask.close(StreamTask.java:745)
at org.apache.kafka.streams.processor.internals.AssignedStreamsTasks.closeTask(AssignedStreamsTasks.java:81)
at org.apache.kafka.streams.processor.internals.AssignedStreamsTasks.closeTask(AssignedStreamsTasks.java:37)
at org.apache.kafka.streams.processor.internals.AssignedTasks.shutdown(AssignedTasks.java:256)
at org.apache.kafka.streams.processor.internals.AssignedStreamsTasks.shutdown(AssignedStreamsTasks.java:535)
at org.apache.kafka.streams.processor.internals.TaskManager.shutdown(TaskManager.java:292)
at org.apache.kafka.streams.processor.internals.StreamThread.completeShutdown(StreamThread.java:1133)
at org.apache.kafka.streams.processor.internals.StreamThread.run(StreamThread.java:682)
Local works fine.
In the environment where the error occurs, the error occurs when uploading it to docker.
kafka streams version : 2.5.0
When running the following commands, an error is thrown by the add command. The rdf4j framework is used for communicating with a graphdb Knowledge Base:
import org.eclipse.rdf4j.model.Model;
Model model;
//statements have been added to the model
public RepositoryConnection connection;
...
connection.add(model); <-- error is thrown
An error is thrown in add command
2022-01-24 09:46:02 [http-nio-8080-exec-5] ERROR restapi.SubmitRMService - unable to rollback transaction. HTTP error code 404
org.eclipse.rdf4j.repository.RepositoryException: unable to rollback transaction. HTTP error code 404
at org.eclipse.rdf4j.http.client.RDF4JProtocolSession.rollbackTransaction(RDF4JProtocolSession.java:786)
at org.eclipse.rdf4j.repository.http.HTTPRepositoryConnection.rollback(HTTPRepositoryConnection.java:354)
at org.eclipse.rdf4j.repository.base.AbstractRepositoryConnection.conditionalRollback(AbstractRepositoryConnection.java:335)
at org.eclipse.rdf4j.repository.base.AbstractRepositoryConnection.add(AbstractRepositoryConnection.java:379)
The code is running successfully in two other environments except one we are setting with kubernetes. We ensured that /opt/graphdb/home has write permissions.
Question: I just do not understand the 404 RepositoryException error. The code can successfully run queries before the .add(model), so the connection with the graphdb is ok.
I'm trying to install a production server for Django Channels application I've been running locally with success. However, when starting Daphne and reaching to the application via browser, I get an Internal Server Error from Daphne. Console output is as follows:
2021-08-07 11:57:09,584 DEBUG HTTP b'GET' request for ['127.0.0.1', 33566]
2021-08-07 11:57:10,071 ERROR Exception inside application: 'module' object is not callable
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/asgiref/compatibility.py", line 34, in new_application
instance = application(scope)
TypeError: 'module' object is not callable
2021-08-07 11:57:10,072 DEBUG HTTP 500 response started for ['127.0.0.1', 33566]
As the project/asgi.py might have some relevance here, it is below:
import os
import django
from django.core.asgi import get_asgi_application
os.environ['DJANGO_SETTINGS_MODULE'] = "proj.settings"
django.setup()
from channels.auth import AuthMiddlewareStack
from channels.routing import ProtocolTypeRouter, URLRouter
import app.routing
application = ProtocolTypeRouter({
"http": get_asgi_application(),
"websocket": AuthMiddlewareStack(
URLRouter(
app.routing.websocket_urlpatterns
)
),
})
However, I've been poking around with the said asgi.py, and I have a feeling that at least the application variable does not have anything to do with this, as that block could be commented out with no impact on the error message.
Relevant packages:
channels 3.0.4
daphne 3.0.2
Django 3.2.6
Any ideas?
Getting the following error when I try to launch a Dataflow SQL job:
Failed to start the VM, launcher-____, used for launching because of status code: INVALID_ARGUMENT, reason: Error: Message: Invalid value for field 'resource.networkInterfaces[0].network': 'global/networks/default'. The referenced network resource cannot be found. HTTP Code: 400.
This issue just started today.
Adding the default network solved the issue.
When running my code I notice the following error in my debugging console:
The Async request has been failed due to following error : Error
Domain=ASIHTTPRequestErrorDomain Code=6 "Unable to start HTTP
connection" UserInfo=0xb1b5d90 {NSLocalizedDescription=Unable to start
HTTP connection}
This error is no where in the code, so it must be coming from one of the static library, because I can find it in the final binary via:
strings MyApp | grep "Async request"
How do I find out which call to a static library or which lib is responsible for triggering this?