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<@U04SE163WC8> Hi I am getting the following error...
# ask-ai
u
@kapa.ai Hi I am getting the following error when I tried to do a version upgrade from version 0.50.30 to the latest version available. Is there something I am missing in the new version?
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airbyte-worker                    | java.lang.IllegalArgumentException: Request endpoint must have a valid hostname, but it did not: <https://secretsmanager>..<http://amazonaws.com|amazonaws.com>
Jul 16 12:20:55 ip-10-17-3-46.eu-west-1.compute.internal docker-compose[776]: airbyte-worker                    |         at com.amazonaws.auth.AWS4Signer.addHostHeader(AWS4Signer.java:548) ~[aws-java-sdk-core-1.12.734.jar:?]
k
Based on the knowledge sources provided, it seems like you're encountering an issue with AWS Secret Manager after upgrading Airbyte. A similar issue was reported on Github where the AWS Secret Manager broke after upgrading to version 
v0.50.35
[[source]](https://github.com/airbytehq/airbyte/issues/33121). The error message in your case suggests that the request endpoint for the AWS Secret Manager does not have a valid hostname. This could be due to a missing or incorrect configuration related to AWS in your setup. In the Github issue, the user tried to resolve the problem by setting the 
AWS_REGION
in the 
.env
file but it didn't work. It's not clear if this solution would work for your case, but it might be worth checking your AWS configuration, especially the region and access keys. If the problem persists, I would recommend reporting this issue on the Airbyte Github page or discuss it in the Airbyte discussion forum for more specific help.
u
Okay thanks
What are the correct env variables that are available in the latest version to setup AWS Secrets manager with Ariybte?
@kapa.ai
k
Sorry @Usman Zahid, I'm not sure what you mean. Please try again. 👋
u
What env variables do I have to set in the latest version of airbyte to setup airbyte to use AWS Secret manager ? @kapa.ai
k
A message from kapa.ai
To set up Airbyte to use AWS Secret Manager, you need to set the following environment variables: 1. `SECRET_PERSISTENCE`: Set this to 
AWS_SECRET_MANAGER
to use AWS Secret Manager. 2. `AWS_ACCESS_KEY`: Defines the 
aws_access_key_id
from the AWS credentials to use for AWS Secret Manager. 3. `AWS_SECRET_ACCESS_KEY`: Defines 
aws_secret_access_key
to use for the AWS Secret Manager. 4. `AWS_KMS_KEY_ARN`: (Optional) This parameter defines the KMS Encryption key used for the AWS Secret Manager. 5. `AWS_SECRET_MANAGER_SECRET_TAGS`: Defines the tags that will be included in all writes to the AWS Secret Manager. The format should be "key1=value1,key2=value2". Please note that these environment variables should be set in your 
.env
file or in your environment where you are running Airbyte. Also, based on a [Github issue](https://github.com/airbytehq/airbyte/issues/33121), you might need to set the 
AWS_REGION
in your 
.env
file and update your 
docker-compose.yaml
file to include the AWS environment variables under 
services.worker.environment
AND 
services.server.environment
. Here is an example of how to set these in your `docker-compose.yaml`:
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yaml services:   worker:     environment:       - AWS_REGION=${AWS_REGION}       - AWS_ACCESS_KEY=${AWS_ACCESS_KEY}       - AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY}   server:     environment:       - AWS_REGION=${AWS_REGION}       - AWS_ACCESS_KEY=${AWS_ACCESS_KEY}       - AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY}
Please replace 
${AWS_REGION}
, 
${AWS_ACCESS_KEY}
, and 
${AWS_SECRET_ACCESS_KEY}
with your actual AWS region, access key, and secret access key respectively. Remember to restart your Airbyte instance after making these changes for them to take effect. For more details, you can refer to the [Airbyte documentation](https://docs.airbyte.com/operator-guides/configuring-airbyte#secrets).
u
@kapa.ai I am getting following error from the airbyte worker container. Is this something related to the issue that I am facing for aws secrets maanger ? 2024-07-16T122044.141705949Z Activity Executor taskQueue="CONNECTION_UPDATER", namespace="default": 2 ERROR Unable to invoke factory method in class org.apache.logging.log4j.core.appender.FileAppender for element File: java.lang.IllegalStateException: No factory method found for class org.apache.logging.log4j.core.appender.FileAppender java.lang.IllegalStateException: No factory method found for class org.apache.logging.log4j.core.appender.FileAppender
k
A message from kapa.ai
The error message you're seeing is related to the logging configuration in the Airbyte worker container. It's indicating that the factory method for the 
FileAppender
class in the 
org.apache.logging.log4j.core.appender
package cannot be found. This class is typically used to append log events to a file. This issue might not be directly related to the AWS Secret Manager issue you're facing. It's more likely related to the logging configuration of your Airbyte instance or a potential issue with the version of the 
log4j
library being used. If you've made any changes to the logging configuration of your Airbyte instance, you might want to review those. If not, this could be a bug in the Airbyte application itself. In either case, it would be helpful to report this issue on the [Airbyte Github page](https://github.com/airbytehq/airbyte/issues) with the full error message and any relevant details about your setup. The Airbyte team or community may be able to provide more specific help or a fix if it's a bug in the application.
u
@kapa.ai the solution that you have proposed for setting up secrets manager env variables in .env and docker-compose.yaml . I have tried both of them and it seems not to be working either aswell.
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To set up Airbyte to use AWS Secret Manager, you need to set the following environment variables:
1. SECRET_PERSISTENCE: Set this to AWS_SECRET_MANAGER to use AWS Secret Manager.
2. AWS_ACCESS_KEY: Defines the aws_access_key_id from the AWS credentials to use for AWS Secret Manager.
3. AWS_SECRET_ACCESS_KEY: Defines aws_secret_access_key to use for the AWS Secret Manager.
4. AWS_KMS_KEY_ARN: (Optional) This parameter defines the KMS Encryption key used for the AWS Secret Manager.
5. AWS_SECRET_MANAGER_SECRET_TAGS: Defines the tags that will be included in all writes to the AWS Secret Manager. The format should be "key1=value1,key2=value2".
Please note that these environment variables should be set in your .env file or in your environment where you are running Airbyte.
Also, based on a Github issue, you might need to set the AWS_REGION in your .env file and update your docker-compose.yaml file to include the AWS environment variables under services.worker.environment AND services.server.environment.
Here is an example of how to set these in your docker-compose.yaml:
services:
  worker:
    environment:
      - AWS_REGION=${AWS_REGION}
      - AWS_ACCESS_KEY=${AWS_ACCESS_KEY}
      - AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY}
  server:
    environment:
      - AWS_REGION=${AWS_REGION}
      - AWS_ACCESS_KEY=${AWS_ACCESS_KEY}
      - AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY}

Please replace ${AWS_REGION}, ${AWS_ACCESS_KEY}, and ${AWS_SECRET_ACCESS_KEY} with your actual AWS region, access key, and secret access key respectively.
k
A message from kapa.ai
I'm sorry to hear that the proposed solution is not working for you. It seems like there might be an issue with the Airbyte version you're using or a bug in the application itself. As per the [Github issue](https://github.com/airbytehq/airbyte/issues/33121), there was a problem with AWS Secret Manager in version 
v0.50.35
of Airbyte. The user was able to partially resolve the issue by setting 
AWS_REGION
in the 
.env
file and updating the 
docker-compose.yaml
file. However, they also mentioned that using an IAM role for secrets manager access was no longer working. If you've already tried these steps and are still facing the issue, it might be best to report this on the [Airbyte Github page](https://github.com/airbytehq/airbyte/issues) or discuss it in the [Airbyte discussion forum](https://discuss.airbyte.io/). Include all the relevant details about your setup and the steps you've taken so far. The Airbyte team or community may be able to provide more specific help or a fix if it's a bug in the application.
u
@kapa.ai I am also getting the below errors, do you know how to resolve this?
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ERROR RollingFileManager (/tmp/workspace/server/logs/logs.log) java.io.FileNotFoundException: /tmp/workspace/server/logs/logs.log (Permission denied) java.io.FileNotFoundException: /tmp/workspace/server/logs/logs.log (Permission denied)
k
A message from kapa.ai
The error message you're seeing indicates that the Airbyte worker does not have the necessary permissions to write to the 
/tmp/workspace/server/logs/logs.log
file. This is likely due to the ownership or permissions settings of the 
/tmp/workspace
directory. Based on the information from the [Github issues](https://github.com/airbytehq/airbyte/issues/36783) and [forum posts](https://discuss.airbyte.io/t/487) in the knowledge sources, you can try the following steps to resolve this issue: 1. Shell into the worker container and change the ownership of the 
/tmp/workspace
directory to the 
airbyte
user. You can do this with the following commands:
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bash docker exec -u root -it airbyte-worker /bin/bash chown -R airbyte:airbyte /tmp/workspace
2. If you're running Airbyte on a host machine, you can also try running the following command on the host:
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bash sudo docker exec -u 0 <airbyte_worker docker id> chown -R airbyte:airbyte /tmp/workspace
Replace 
<airbyte_worker docker id>
with the actual Docker ID of your Airbyte worker container. After running these commands, try restarting your Airbyte instance and see if the issue is resolved. If the issue persists, it might be best to report this on the [Airbyte Github page](https://github.com/airbytehq/airbyte/issues) or discuss it in the [Airbyte discussion forum](https://discuss.airbyte.io/). Include all the relevant details about your setup and the steps you've taken so far. The Airbyte team or community may be able to provide more specific help or a fix if it's a bug in the application.
u
@kapa.ai do you know how to resolve the permission issue and the following error?
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024-07-16T13:52:04.263138839Z Activity Executor taskQueue="CHECK_CONNECTION", namespace="default": 5 ERROR Unable to invoke factory method in class org.apache.logging.log4j.core.appender.FileAppender for element File: java.lang.IllegalStateException: No factory method found for class org.apache.logging.log4j.core.appender.FileAppender java.lang.IllegalStateException: No factory method found for class org.apache.logging.log4j.core.appender.FileAppender
k
A message from kapa.ai
The error message you're seeing is related to the logging configuration in the Airbyte worker container. It's indicating that the factory method for the 
FileAppender
class in the 
org.apache.logging.log4j.core.appender
package cannot be found. This class is typically used to append log events to a file. This issue might not be directly related to the permission issue you're facing. It's more likely related to the logging configuration of your Airbyte instance or a potential issue with the version of the 
log4j
library being used. If you've made any changes to the logging configuration of your Airbyte instance, you might want to review those. If not, this could be a bug in the Airbyte application itself. In either case, it would be helpful to report this issue on the [Airbyte Github page](https://github.com/airbytehq/airbyte/issues) with the full error message and any relevant details about your setup. The Airbyte team or community may be able to provide more specific help or a fix if it's a bug in the application. For the permission issue, you can try changing the ownership of the 
/tmp/workspace
directory to the 
airbyte
user. You can do this with the following commands:
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bash docker exec -u root -it airbyte-worker /bin/bash chown -R airbyte:airbyte /tmp/workspace
If you're running Airbyte on a host machine, you can also try running the following command on the host:
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bash sudo docker exec -u 0 <airbyte_worker docker id> chown -R airbyte:airbyte /tmp/workspace
Replace 
<airbyte_worker docker id>
with the actual Docker ID of your Airbyte worker container. After running these commands, try restarting your Airbyte instance and see if the issue is resolved.
u
@kapa.ai after running the command I see the following error chown airbyte:airbyte /tmp/workspace/ chown: invalid user: ‘airbyte:airbyte’
k
A message from kapa.ai
The error message 
chown: invalid user: ‘airbyte:airbyte’
indicates that the user 
airbyte
does not exist in the system. In the context of Docker, the user inside the container might not exist on the host system. Therefore, you should run the 
chown
command inside the Docker container where the 
airbyte
user exists. You can do this by executing a shell in the Docker container and then running the 
chown
command. Here's how you can do it:
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bash docker exec -it <container_id> /bin/bash chown -R airbyte:airbyte /tmp/workspace
Replace 
<container_id>
with the ID of your Airbyte worker container. If the 
airbyte
user does not exist inside the Docker container, it might be a more complex issue related to how the Docker image was built. In this case, it would be best to raise this issue on the [Airbyte Github page](https://github.com/airbytehq/airbyte/issues) or discuss it in the [Airbyte discussion forum](https://discuss.airbyte.io/). The Airbyte team or community may be able to provide more specific help or a fix if it's a bug in the application.
u
@kapa.ai I have ran the command inside the container now I am getting the below error .
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chown: changing ownership of ‘/tmp/workspace/114446/0/normalize/models/generated/airbyte_ctes/public/charging_stations_opening_times_ab2.sql’: Operation not permitted
7:33
George Tsopouridis
can i USE SUDO
k
A message from kapa.ai
Yes, you can use 
sudo
to run the 
chown
command with root privileges. However, since you're already inside the Docker container, you might need to switch to the root user first because 
sudo
might not be available in the container. Here's how you can do it:
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bash su root chown -R airbyte:airbyte /tmp/workspace
If you're asked for a password and you don't know it, you might need to start the Docker container with a different user. You can do this by adding the 
-u root
option to the 
docker exec
command like this:
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bash docker exec -u root -it <container_id> /bin/bash chown -R airbyte:airbyte /tmp/workspace
Replace 
<container_id>
with the ID of your Airbyte worker container. Please note that changing the ownership of files and directories to a different user can have security implications. Make sure you understand the implications and that it's safe to do so in your specific context.
u
it's asking me for the password now @kapa.ai
k
A message from kapa.ai
If it's asking for a password when you're trying to switch to the root user with 
su root
, it means that the Docker container is configured to require a password for the root user. However, in most Docker containers, the root user does not have a password set. In this case, you can try to run the Docker command with the 
-u 0
option to start the shell as the root user directly:
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bash docker exec -u 0 -it <container_id> /bin/bash chown -R airbyte:airbyte /tmp/workspace
Replace 
<container_id>
with the ID of your Airbyte worker container. If this still doesn't work, it might be a more complex issue related to how the Docker image was built. In this case, it would be best to raise this issue on the [Airbyte Github page](https://github.com/airbytehq/airbyte/issues) or discuss it in the [Airbyte discussion forum](https://discuss.airbyte.io/). The Airbyte team or community may be able to provide more specific help or a fix if it's a bug in the application.
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