您可以通过定义NodeAffinity和PodAffinity在Kubernetes中配置MongoDB资源的部署拓扑结构。 NodeAffinity和PodAffinity指定Kubernetes在Kubernetes集群中部署MongoDB自定义资源的位置。
You can implement node affinity by applying node labels to specific nodes within your Kubernetes cluster and defining labelSelector fields with corrosponding labels in your MongoDB CustomResourceDefinition. When you apply node labels and matching labelSelector values, Kubernetes only deploys a given MongoDB CustomResourceDefinition on the nodes you specify within your Kubernetes cluster. Implementing node affinity rules can be useful when deploying MongoDB resources in heterogeneous node groups, as it allows you to deploy specific resources on specific node varieties.
Similarly, you can implement Pod affinity by applying labels to Pods that are running in your cluster and aligning those label values with labelSelector values defined in your MongoDB CustomResourceDefinition. When you apply labels and matching labelSelector values, Kubernetes colocates MongoDB custom resource-managed Pods with Pods with matching labels applied. By collocating Pods, you can improve system performance and reduce latency between Pods that communicate regularly. You can also define Pod antiaffinity rules which allow you to specify Pods which should not be colocated.
For Standalone and Replica Set deployments, you can apply these affinity rules to the spec.podSpec of your MongoDB CustomResourceDefinition. For Sharded Cluster deployments, you can apply these affinity rules to the spec.configSrvPodSpec, spec.shardPodSpec, and spec.mongosPodSpec sections of your MongoDB CustomResourceDefinition.
您必须将MongoDB资源(例如分片集群部署中的 mongos、分片和配置服务器)部署在与MongoDB资源相同的命名空间中。但是,在该命名空间内,您可以在 ShardedCluster CustomResourceDefinition 中配置 mongos、分片和配置服务器资源类型的 nodeAffinity 和 podAffinity。
先决条件
要为MongoDB 部署配置部署拓扑结构,您必须通过MongoDB Kubernetes Operator 部署MongoDB副本集,并应用于Kubernetes资源的标签,这些标签将与MongoDB CustomResourceDefinition 中定义的 labelSelectors 保持一致,或者满足以下先决条件:
应用于Kubernetes资源的标签,这些标签将与MongoDB CustomResourceDefinition 中定义的
labelSelectors保持一致。
步骤
更新您的MongoDB CRD 清单。
填充MongoDB分片集群定义的podTemplate.spec.affinity部分,如以下示例所示:
1 2 apiVersion: mongodb.com/v1 3 kind: MongoDB 4 metadata: 5 name: my-sharded-cluster 6 spec: 7 shardCount: 2 8 mongodsPerShardCount: 3 9 mongosCount: 2 10 configServerCount: 3 11 version: 8.0.0 12 service: my-service 13 14 opsManager: 15 configMapRef: 16 name: my-project 17 credentials: my-credentials 18 type: ShardedCluster 19 20 persistent: true 21 configSrvPodSpec: 22 podTemplate: 23 spec: 24 affinity: 25 podAffinity: 26 requiredDuringSchedulingIgnoredDuringExecution: 27 - labelSelector: 28 matchExpressions: 29 - key: security 30 operator: In 31 values: 32 - S1 33 topologyKey: failure-domain.beta.kubernetes.io/zone 34 nodeAffinity: 35 requiredDuringSchedulingIgnoredDuringExecution: 36 nodeSelectorTerms: 37 - matchExpressions: 38 - key: kubernetes.io/e2e-az-name 39 operator: In 40 values: 41 - e2e-az1 42 - e2e-az2 43 podAntiAffinity: 44 requiredDuringSchedulingIgnoredDuringExecution: 45 - podAffinityTerm: 46 topologyKey: nodeId 47 mongosPodSpec: 48 podTemplate: 49 spec: 50 affinity: 51 podAffinity: 52 requiredDuringSchedulingIgnoredDuringExecution: 53 - labelSelector: 54 matchExpressions: 55 - key: security 56 operator: In 57 values: 58 - S1 59 topologyKey: failure-domain.beta.kubernetes.io/zone 60 nodeAffinity: 61 requiredDuringSchedulingIgnoredDuringExecution: 62 nodeSelectorTerms: 63 - matchExpressions: 64 - key: kubernetes.io/e2e-az-name 65 operator: In 66 values: 67 - e2e-az1 68 - e2e-az2 69 podAntiAffinity: 70 requiredDuringSchedulingIgnoredDuringExecution: 71 - podAffinityTerm: 72 topologyKey: nodeId 73 shardPodSpec: 74 podTemplate: 75 spec: 76 affinity: 77 podAffinity: 78 requiredDuringSchedulingIgnoredDuringExecution: 79 - labelSelector: 80 matchExpressions: 81 - key: security 82 operator: In 83 values: 84 - S1 85 topologyKey: failure-domain.beta.kubernetes.io/zone 86 nodeAffinity: 87 requiredDuringSchedulingIgnoredDuringExecution: 88 nodeSelectorTerms: 89 - matchExpressions: 90 - key: kubernetes.io/e2e-az-name 91 operator: In 92 values: 93 - e2e-az1 94 - e2e-az2 95 podAntiAffinity: 96 requiredDuringSchedulingIgnoredDuringExecution: 97 - podAffinityTerm: 98 topologyKey: nodeId 99 ...