[Vector] Cannot configure CPU/Memory requests/limits when using Vector as collector.

Version of components:

Clusterlogging.v5.5.0

Elasticsearch-operator.v5.5.0

Server Version: 4.11.0-0.nightly-2022-08-02-014045

Kubernetes Version: v1.24.0+9546431

Description of the problem:

When using Vector as collector the cpu/memory requests/limits cannot be configured.

Steps to reproduce the issue:

• Create ClusterLogging instance with Vector as collector and cpu/memory requests/limits parameters set.

  apiVersion: "logging.openshift.io/v1"
  kind: "ClusterLogging"
  metadata:
    name: "instance" 
    namespace: "openshift-logging"
    annotations:
      logging.openshift.io/preview-vector-collector: enabled
  spec:
    managementState: "Managed"  
    logStore:
      type: "elasticsearch"  
      retentionPolicy: 
        application:
          maxAge: 10h
        infra:
          maxAge: 10h
        audit:
          maxAge: 10h
      elasticsearch:
        nodeCount: 1 
        storage: {} 
        resources: 
            limits:
              memory: "4Gi"
            requests:
              memory: "1Gi"
        proxy: 
          resources:
            limits:
              memory: 256Mi
            requests:
              memory: 256Mi
        redundancyPolicy: "ZeroRedundancy"
    visualization:
      type: "kibana"  
      kibana:
        replicas: 1
    collection:
      type: "vector"  
      resources:
        limits: 
          memory: 736Mi
          cpu: 100m
        requests:
          cpu: 100m
          memory: 736Mi 

• Check the collector daemonset, no requests/limits are added to the daemonset.

  oc describe ds collector | grep -iE "requests|limits" -A 4

• Create the ClusterLogging instance with Fluentd as collector and notice the requests/limits are set correctly.

  $ oc describe daemonset collector | grep -iE "requests|limits" -A 4
      Limits:
        cpu:     100m
        memory:  736Mi
      Requests:
        cpu:     100m
        memory:  736Mi