[BUG]: Encountered a port conflict error when deploying Curvine using Helm.

[jlon]

When I deployed the Curvine cluster using the following command, the pods kept pending during rolling updates. The problem turned out to be a port conflict. Should I consider using random ports for workers in Kubernetes?

helm install curvine curvine/curvine  -n curvine --create-namespace \
  --set cluster.id=curvine-fio \
  --set master.replicas=3 \
  --set master.storage.meta.storageClass=fast-ssd \
  --set master.storage.meta.size=50Gi \
  --set master.storage.journal.storageClass=fast-ssd \
  --set master.storage.journal.size=200Gi \
  --set master.resources.requests.cpu=2000m \
  --set master.resources.requests.memory=4Gi \
  --set master.resources.limits.cpu=4000m \
  --set master.resources.limits.memory=8Gi \
  --set worker.replicas=13 \
  --set worker.hostNetwork=true \
  --set worker.dnsPolicy=ClusterFirstWithHostNet \
  --set worker.privileged=true \
  --set worker.storage.dataDirs[0].name=gp3 \
  --set worker.storage.dataDirs[0].type=SSD \
  --set worker.storage.dataDirs[0].enabled=true \
  --set worker.storage.dataDirs[0].size=500Gi \
  --set worker.storage.dataDirs[0].storageClass=gp3 \
  --set worker.storage.dataDirs[0].mountPath=/data/data1 \
  --set worker.resources.requests.cpu=2000m \
  --set worker.resources.requests.memory=4Gi \
  --set worker.resources.limits.cpu=4000m \
  --set worker.resources.limits.memory=8Gi \
  --set worker.antiAffinity.enabled=true \
  --set worker.antiAffinity.type=required \
  --set config.client.blockSizeStr=128MB \
  --set config.log.level=INFO \
  --set configOverrides.worker.max_connections=2000 \
  --set configOverrides.worker.io_buffer_size=64MB \
  --set configOverrides.worker.rpc_timeout=300s --devel