how to change the tolerations and nodeselector in the source and destination pods

To change the tolerations and node selectors for source and destination pods in Airbyte, you can use environment variables or modify the Helm chart values. Here's how you can do it: 1. Using environment variables: You can set the following environment variables to configure tolerations and node selectors for job pods (which include source and destination pods):

JOB_KUBE_TOLERATIONS=key=value,operator=Equal,effect=NoSchedule JOB_KUBE_NODE_SELECTORS=key1=value1,key2=value2

These environment variables are mentioned in the [Airbyte documentation](https://docs.airbyte.com/operator-guides/configuring-airbyte#kubernetes-only). 2. Using Helm chart values: If you're deploying Airbyte using Helm, you can modify the

values.yaml

file to set tolerations and node selectors. Here's an example of how you can do this for the worker pods (which handle source and destination jobs):

yaml worker:   nodeSelector:      "yourNodeSelectorKey": "yourNodeSelectorValue"   tolerations:      - key: "dedicated"       operator: "Equal"       value: "airbyte"       effect: "NoSchedule"   extraEnv:     - name: JOB_KUBE_NODE_SELECTORS       value: yourNodeSelectorKey=yourNodeSelectorValue

This approach is based on a user's solution shared in a [GitHub issue](https://github.com/airbytehq/airbyte/issues/27133). It's important to note that these settings will apply to all job pods, including source and destination pods. Airbyte doesn't currently provide a way to set different tolerations or node selectors for specific source or destination pods through the UI or configuration files. Remember to adjust the values according to your specific cluster setup and requirements.

@kapa.ai And to change imagepullpolicy

To change the image pull policy in Airbyte's Kubernetes deployment, you can modify the

JOB_KUBE_MAIN_CONTAINER_IMAGE_PULL_POLICY

environment variable. This variable controls the pull policy for the main container images used in Airbyte jobs. According to the knowledge sources, you can set this variable in the

airbyte-worker

pod. The default value is 'IfNotPresent', but you can change it to 'Always' or 'Never' based on your requirements. Here's an example of how it's typically configured in the Airbyte Helm chart:

yaml - name: JOB_KUBE_MAIN_CONTAINER_IMAGE_PULL_POLICY   value: "IfNotPresent"

You can modify this value in your Helm values file or directly in the Kubernetes deployment configuration for the

airbyte-worker

pod. It's worth noting that there are also other image pull policy related variables, such as

JOB_KUBE_SIDECAR_CONTAINER_IMAGE_PULL_POLICY

, which controls the pull policy for sidecar containers [Source](https://github.com/airbytehq/airbyte/issues/33279). Remember that changing the image pull policy can affect the behavior of how Kubernetes fetches container images, so make sure to understand the implications before making changes.

@kapa.ai and to change imagepullsecret

A message from kapa.ai

To change the image pull secret in Airbyte's Kubernetes deployment, you can modify the

JOB_KUBE_MAIN_CONTAINER_IMAGE_PULL_SECRET

environment variable. This variable is used to authenticate your Kubernetes cluster to your private Docker registry. Here's how you can do it: 1. Create a

Secret

in Kubernetes that will host your authentication credentials. You can follow the instructions in the [Kubernetes documentation](https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/) to do this. 2. Set the

JOB_KUBE_MAIN_CONTAINER_IMAGE_PULL_SECRET

environment variable on the

airbyte-worker

pod. The value must be the name of your previously created Kubernetes Secret. Here's an example of how it's typically configured in the Airbyte Helm chart:

yaml - name: JOB_KUBE_MAIN_CONTAINER_IMAGE_PULL_SECRET   value: "your-secret-name"

You can modify this value in your Helm values file or directly in the Kubernetes deployment configuration for the

airbyte-worker

pod [Source](https://docs.airbyte.com/operator-guides/using-custom-connectors#for-kubernetes-airbyte-deployments). Remember to replace

"your-secret-name"

with the name of the Kubernetes Secret you created in step 1.

@kapa.ai this config will reflect in the source and destination pods?

A message from kapa.ai

The

JOB_KUBE_MAIN_CONTAINER_IMAGE_PULL_SECRET

environment variable is set on the

airbyte-worker

pod. This pod is responsible for running the Airbyte jobs, which include the source and destination connectors. Therefore, any changes to this environment variable should affect the source and destination pods as well, as they are part of the jobs run by the

airbyte-worker

pod. However, it's important to note that this configuration might not be reflected in other components of Airbyte that are not part of the jobs run by the

airbyte-worker

pod. For example, it might not affect the

airbyte-server

pod or other infrastructure components. If you want to ensure that a specific configuration is applied to all pods in your Airbyte deployment, you might need to set the corresponding environment variables in each of the relevant Kubernetes deployment configurations or in your Helm values file [Source](https://github.com/airbytehq/airbyte/issues/33279).