RocMarshal commented on code in PR #810: URL: https://github.com/apache/flink-kubernetes-operator/pull/810#discussion_r1566975727
########## docs/content.zh/docs/concepts/overview.md: ########## @@ -24,86 +24,93 @@ specific language governing permissions and limitations under the License. --> -# Overview -Flink Kubernetes Operator acts as a control plane to manage the complete deployment lifecycle of Apache Flink applications. Although Flink’s native Kubernetes integration already allows you to directly deploy Flink applications on a running Kubernetes(k8s) cluster, [custom resources](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/) and the [operator pattern](https://kubernetes.io/docs/concepts/extend-kubernetes/operator/) have also become central to a Kubernetes native deployment experience. +<a name="overview"></a> -Flink Kubernetes Operator aims to capture the responsibilities of a human operator who is managing Flink deployments. Human operators have deep knowledge of how Flink deployments ought to behave, how to start clusters, how to deploy jobs, how to upgrade them and how to react if there are problems. The main goal of the operator is the automation of these activities, which cannot be achieved through the Flink native integration alone. +# 概述 +Flink Kubernetes Operator 扮演控制平面的角色，用于管理 Apache Flink 应用程序的完整部署生命周期。尽管 Flink 的原生 Kubernetes 集成已经允许您直接在运行的 Kubernetes(k8s) 集群上部署 Flink 应用程序，但 [自定义资源](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/) 和 [operator模式](https://kubernetes.io/docs/concepts/extend-kubernetes/operator/) 也已成为 Kubernetes 本地部署体验的核心。 Review Comment: <img width="328" alt="image" src="https://github.com/apache/flink-kubernetes-operator/assets/64569824/2bb91f1f-8b3e-4f93-8dbd-a546f43ac4ca";> https://cwiki.apache.org/confluence/display/FLINK/Flink+Translation+Specifications ########## docs/content.zh/docs/concepts/overview.md: ########## @@ -24,86 +24,93 @@ specific language governing permissions and limitations under the License. --> -# Overview -Flink Kubernetes Operator acts as a control plane to manage the complete deployment lifecycle of Apache Flink applications. Although Flink’s native Kubernetes integration already allows you to directly deploy Flink applications on a running Kubernetes(k8s) cluster, [custom resources](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/) and the [operator pattern](https://kubernetes.io/docs/concepts/extend-kubernetes/operator/) have also become central to a Kubernetes native deployment experience. +<a name="overview"></a> -Flink Kubernetes Operator aims to capture the responsibilities of a human operator who is managing Flink deployments. Human operators have deep knowledge of how Flink deployments ought to behave, how to start clusters, how to deploy jobs, how to upgrade them and how to react if there are problems. The main goal of the operator is the automation of these activities, which cannot be achieved through the Flink native integration alone. +# 概述 +Flink Kubernetes Operator 扮演控制平面的角色，用于管理 Apache Flink 应用程序的完整部署生命周期。尽管 Flink 的原生 Kubernetes 集成已经允许您直接在运行的 Kubernetes(k8s) 集群上部署 Flink 应用程序，但 [自定义资源](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/) 和 [operator模式](https://kubernetes.io/docs/concepts/extend-kubernetes/operator/) 也已成为 Kubernetes 本地部署体验的核心。 -## Features -### Core +Flink Kubernetes Operator 通过自定义资源定义（CRD）来扩展 Kubernetes API，以便通过本地 k8s 工具（如 kubectl）管理和操作 Flink 部署。Operator的核心功能包括： + +<a name="features"></a> + +## 特征 + +<a name="core"></a> + +### 核心 - Fully-automated [Job Lifecycle Management]({{< ref "docs/custom-resource/job-management" >}}) - - Running, suspending and deleting applications - - Stateful and stateless application upgrades - - Triggering and managing savepoints - - Handling errors, rolling-back broken upgrades + - 运行、暂停和删除应用程序 + - 有状态和无状态应用程序升级 + - 保存点的触发和管理 + - 任务管理器的扩展和缩减 - Multiple Flink version support: v1.15, v1.16, v1.17, v1.18 - [Deployment Modes]({{< ref "docs/custom-resource/overview#application-deployments" >}}): - - Application cluster - - Session cluster - - Session job + - 应用程序集群 + - 会话集群 + - 会话作业 - Built-in [High Availability](https://nightlies.apache.org/flink/flink-docs-master/docs/deployment/ha/kubernetes_ha/) - Extensible framework - [Custom validators]({{< ref "docs/operations/plugins#custom-flink-resource-validators" >}}) - [Custom resource listeners]({{< ref "docs/operations/plugins#custom-flink-resource-listeners" >}}) - Advanced [Configuration]({{< ref "docs/operations/configuration" >}}) management - - Default configurations with dynamic updates - - Per job configuration - - Environment variables + - 默认配置与动态更新 + - 作业配置 + - 任务管理器配置 - POD augmentation via [Pod Templates]({{< ref "docs/custom-resource/pod-template" >}}) - - Native Kubernetes POD definitions - - Layering (Base/JobManager/TaskManager overrides) + - 原生Kubernetes POD定义 + - 用于自定义容器和资源 - [Job Autoscaler]({{< ref "docs/custom-resource/autoscaler" >}}) - - Collect lag and utilization metrics - - Scale job vertices to the ideal parallelism - - Scale up and down as the load changes -### Operations + - 收集延迟和利用率指标 + - 根据指标自动调整任务管理器数量 + - 根据负载的变化进行扩展和缩减 + +<a name="Operations"></a> + +### 运营 - Operator [Metrics]({{< ref "docs/operations/metrics-logging#metrics" >}}) - - Utilizes the well-established [Flink Metric System](https://nightlies.apache.org/flink/flink-docs-master/docs/ops/metrics) - - Pluggable metrics reporters - - Detailed resources and kubernetes api access metrics + - 使用成熟的 [Flink Metric System](https://nightlies.apache.org/flink/flink-docs-master/docs/ops/metrics) + - 可插拔的指标报告器 + - 详细的资源和 kubernetes api 访问指标 - Fully-customizable [Logging]({{< ref "docs/operations/metrics-logging#logging" >}}) - - Default log configuration - - Per job log configuration - - Sidecar based log forwarders -- Flink Web UI and REST Endpoint Access - - Fully supported Flink Native Kubernetes [service expose types](https://nightlies.apache.org/flink/flink-docs-master/docs/deployment/resource-providers/native_kubernetes/#accessing-flinks-web-ui) - - Dynamic [Ingress templates]({{< ref "docs/operations/ingress" >}}) + - 默认日志配置 + - 每个作业日志配置 + - 基于 sidecar 的日志转发器 +- Flink Web UI 和 REST 端点访问 + - 完整支持 Flink 原生 Kubernetes [服务暴露类型](https://nightlies.apache.org/flink/flink-docs-master/docs/deployment/resource-providers/native_kubernetes/#accessing-flinks-web-ui) + - 通过 [Ingress 模板]({{< ref "docs/operations/ingress" >}}) 动态暴露服务 - [Helm based installation]({{< ref "docs/operations/helm" >}}) - - Automated [RBAC configuration]({{< ref "docs/operations/rbac" >}}) - - Advanced customization techniques -- Up-to-date public repositories + - 一键部署 + - 高度可配置 +- 最新的公共存储库 - GitHub Container Registry [ghcr.io/apache/flink-kubernetes-operator](http://ghcr.io/apache/flink-kubernetes-operator) - DockerHub [https://hub.docker.com/r/apache/flink-kubernetes-operator](https://hub.docker.com/r/apache/flink-kubernetes-operator) -## Built-in Examples +## 内置示例 -The operator project comes with a wide variety of built in examples to show you how to use the operator functionality. -The examples are maintained as part of the operator repo and can be found [here](https://github.com/apache/flink-kubernetes-operator/tree/main/examples). +Operator 项目提供了各种内置示例，以展示如何使用操作员功能。这些示例作为操作员存储库的一部分进行维护，可以在[这里](https://github.com/apache/flink-kubernetes-operator/tree/main/examples). -**What is covered:** +**涵盖以下:** + - 集群和会话部署 + - 检查点和保存点 + - Java, SQL 和 Python Flink 作业 + - 作业配置和任务管理器配置 + - 入口、日志记录和指标配置 + - 使用Kustomize的高级 operator deployment 技术 Review Comment: ```suggestion - 使用 Kustomize 的高级 operator deployment 技术 ``` ########## docs/content.zh/docs/concepts/overview.md: ########## @@ -24,86 +24,93 @@ specific language governing permissions and limitations under the License. --> -# Overview -Flink Kubernetes Operator acts as a control plane to manage the complete deployment lifecycle of Apache Flink applications. Although Flink’s native Kubernetes integration already allows you to directly deploy Flink applications on a running Kubernetes(k8s) cluster, [custom resources](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/) and the [operator pattern](https://kubernetes.io/docs/concepts/extend-kubernetes/operator/) have also become central to a Kubernetes native deployment experience. +<a name="overview"></a> -Flink Kubernetes Operator aims to capture the responsibilities of a human operator who is managing Flink deployments. Human operators have deep knowledge of how Flink deployments ought to behave, how to start clusters, how to deploy jobs, how to upgrade them and how to react if there are problems. The main goal of the operator is the automation of these activities, which cannot be achieved through the Flink native integration alone. +# 概述 +Flink Kubernetes Operator 扮演控制平面的角色，用于管理 Apache Flink 应用程序的完整部署生命周期。尽管 Flink 的原生 Kubernetes 集成已经允许您直接在运行的 Kubernetes(k8s) 集群上部署 Flink 应用程序，但 [自定义资源](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/) 和 [operator模式](https://kubernetes.io/docs/concepts/extend-kubernetes/operator/) 也已成为 Kubernetes 本地部署体验的核心。 -## Features -### Core +Flink Kubernetes Operator 通过自定义资源定义（CRD）来扩展 Kubernetes API，以便通过本地 k8s 工具（如 kubectl）管理和操作 Flink 部署。Operator的核心功能包括： Review Comment: ```suggestion Flink Kubernetes Operator 通过自定义资源定义（CRD）来扩展 Kubernetes API，以便通过本地 k8s 工具（如 kubectl）管理和操作 Flink 部署。Operator 的核心功能包括： ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. 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