rewrite readme about starrocks

cluster/manifests/freeleaps-data-platform/star-rocks/README.md

@@ -1,128 +1,128 @@
-# StarRocks 高可用集群部署
+# StarRocks High Availability Cluster Deployment
 
-## 概述
+## Overview
-本项目使用 StarRocks Kubernetes Operator 直接部署高可用 StarRocks 集群。
+This project uses StarRocks Kubernetes Operator to directly deploy a high availability StarRocks cluster.
 
-## 组件架构
+## Component Architecture
-- **Frontend (FE)**: 3个副本，负责元数据管理和查询协调
+- **Frontend (FE)**: 3 replicas, responsible for metadata management and query coordination
-- **Backend (BE)**: 3个副本，负责数据存储和计算
+- **Backend (BE)**: 3 replicas, responsible for data storage and computation
-- **Compute Node (CN)**: 2个副本，提供弹性计算能力
+- **Compute Node (CN)**: 2 replicas, providing elastic computing capabilities
 
-## 文件说明
+## File Description
 
 ### 1. ha-starrocks-cluster.yaml
-高可用 StarRocks 集群的主要配置文件，包含：
+Main configuration file for the high availability StarRocks cluster, including:
-- FE、BE、CN 组件的副本数和镜像配置
+- Replica count and image configuration for FE, BE, CN components
-- Pod 反亲和性配置，确保高可用
+- Pod anti-affinity configuration to ensure high availability
-- 服务配置和环境变量
+- Service configuration and environment variables
 
 ### 2. starrocks-configmaps.yaml
-各组件的配置文件：
+Configuration files for each component:
-- **FE配置**: 日志、端口、JVM参数等
+- **FE Configuration**: Logs, ports, JVM parameters, etc.
-- **BE配置**: 存储、端口、日志级别等
+- **BE Configuration**: Storage, ports, log levels, etc.
-- **CN配置**: 计算节点端口和日志配置
+- **CN Configuration**: Compute node ports and log configuration
 
 ### 3. ha-starrocks-values.yaml
-Helm values 配置文件（用于参考）
+Helm values configuration file (for reference)
 
 ### 4. values.yaml
-Helm Chart 的默认值配置（用于现有集群）
+Default Helm Chart configuration (for existing clusters)
 
 ### 5. vpa.yaml
-垂直 Pod 自动扩缩容配置
+Vertical Pod Autoscaler configuration
 
-## 部署步骤
+## Deployment Steps
 
-### 1. 应用配置
+### 1. Apply Configuration
 ```bash
-# 首先应用 ConfigMap 配置
+# First apply ConfigMap configuration
 kubectl apply -f starrocks-configmaps.yaml
 
-# 然后应用 StarRocks 集群配置
+# Then apply StarRocks cluster configuration
 kubectl apply -f ha-starrocks-cluster.yaml
 ```
 
-### 2. 检查部署状态
+### 2. Check Deployment Status
 ```bash
-# 检查 StarRocks 集群状态
+# Check StarRocks cluster status
 kubectl get starrockscluster -n freeleaps-data-platform
 
-# 检查 Pod 状态
+# Check Pod status
 kubectl get pods -n freeleaps-data-platform -l app=starrocks
 
-# 检查服务状态
+# Check service status
 kubectl get svc -n freeleaps-data-platform -l app=starrocks
 ```
 
-### 3. 查看日志
+### 3. View Logs
 ```bash
-# 查看 FE 日志
+# View FE logs
 kubectl logs -n freeleaps-data-platform -l app.kubernetes.io/component=fe
 
-# 查看 BE 日志
+# View BE logs
 kubectl logs -n freeleaps-data-platform -l app.kubernetes.io/component=be
 
-# 查看 CN 日志
+# View CN logs
 kubectl logs -n freeleaps-data-platform -l app.kubernetes.io/component=cn
 ```
 
-## 高可用特性
+## High Availability Features
-- **FE高可用**: 3个FE节点，支持自动故障转移
+- **FE High Availability**: 3 FE nodes with automatic failover support
-- **BE高可用**: 3个BE节点，数据多副本存储
+- **BE High Availability**: 3 BE nodes with data multi-replica storage
-- **CN弹性**: 支持水平扩展和自动扩缩容
+- **CN Elasticity**: Support for horizontal scaling and automatic scaling
-- **Pod反亲和性**: 确保组件分布在不同节点上
+- **Pod Anti-affinity**: Ensures components are distributed across different nodes
-- **自动故障恢复**: Operator自动管理集群状态
+- **Automatic Failover Recovery**: Operator automatically manages cluster state
 
-## 网络配置
+## Network Configuration
-- **内部服务**: 使用ClusterIP类型
+- **Internal Services**: Use ClusterIP type
-- **端口映射**: 
+- **Port Mapping**: 
-  - FE: 8030(HTTP), 9010(编辑日志), 9020(RPC), 9030(查询)
+  - FE: 8030(HTTP), 9010(Edit Log), 9020(RPC), 9030(Query)
-  - BE: 8040(HTTP), 9050(心跳), 8060(BRPC), 9060(BE端口)
+  - BE: 8040(HTTP), 9050(Heartbeat), 8060(BRPC), 9060(BE Port)
-  - CN: 8040(HTTP), 9050(心跳), 8060(BRPC), 9060(Thrift)
+  - CN: 8040(HTTP), 9050(Heartbeat), 8060(BRPC), 9060(Thrift)
 
-## 存储配置
+## Storage Configuration
-- **FE元数据**: 使用现有存储配置
+- **FE Metadata**: Uses existing storage configuration
-- **BE数据**: 使用现有存储配置
+- **BE Data**: Uses existing storage configuration
-- **CN缓存**: 使用现有存储配置
+- **CN Cache**: Uses existing storage configuration
-- **数据持久化**: 支持PVC自动创建和绑定
+- **Data Persistence**: Supports automatic PVC creation and binding
 
-## 监控和运维
+## Monitoring and Operations
-- **健康检查**: 内置就绪和存活探针
+- **Health Checks**: Built-in readiness and liveness probes
-- **日志收集**: 结构化日志输出
+- **Log Collection**: Structured log output
-- **资源监控**: 支持Prometheus指标收集
+- **Resource Monitoring**: Supports Prometheus metrics collection
-- **自动扩缩容**: VPA支持垂直资源调整
+- **Automatic Scaling**: VPA supports vertical resource adjustment
-- **Operator管理**: 自动集群生命周期管理
+- **Operator Management**: Automatic cluster lifecycle management
 
-## 升级和回滚
+## Upgrade and Rollback
 ```bash
-# 升级集群配置
+# Upgrade cluster configuration
 kubectl apply -f ha-starrocks-cluster.yaml
 
-# 回滚到上一个版本
+# Rollback to previous version
 kubectl rollout undo deployment/starrocks-operator -n freeleaps-data-platform
 
-# 查看集群状态
+# View cluster status
 kubectl describe starrockscluster freeleaps-starrocks -n freeleaps-data-platform
 ```
 
-## 故障排除
+## Troubleshooting
 ```bash
-# 检查集群状态
+# Check cluster status
 kubectl describe starrockscluster freeleaps-starrocks -n freeleaps-data-platform
 
-# 检查 Pod 事件
+# Check Pod events
 kubectl get events -n freeleaps-data-platform --sort-by='.lastTimestamp'
 
-# 检查 Operator 日志
+# Check Operator logs
 kubectl logs -n freeleaps-data-platform -l app=starrocks-operator
 
-# 检查存储状态
+# Check storage status
 kubectl get pvc -n freeleaps-data-platform
 kubectl get pv
 ```
 
-## 注意事项
+## Important Notes
-1. **现有集群**: 此配置将升级现有的 `freeleaps-starrocks` 集群
+1. **Existing Cluster**: This configuration will upgrade the existing `freeleaps-starrocks` cluster
-2. **数据安全**: 升级过程中数据不会丢失
+2. **Data Safety**: Data will not be lost during the upgrade process
-3. **滚动更新**: Operator 会自动进行滚动更新，确保服务连续性
+3. **Rolling Updates**: Operator will automatically perform rolling updates to ensure service continuity
-4. **资源需求**: 确保集群有足够的资源支持增加的副本数
+4. **Resource Requirements**: Ensure the cluster has sufficient resources to support the increased replica count