Add environment configuration and documentation for various services

- Created .env.example files for Kafka, Kibana, KodBox, Kong, Langfuse, Logstash, n8n, Nginx, OceanBase, OpenCoze, RocketMQ, TiDB, and TiKV.
- Added README.md and README.zh.md files for OceanBase, RocketMQ, TiDB, and TiKV, detailing usage, configuration, and access instructions.
- Implemented docker-compose.yaml files for OceanBase, RocketMQ, TiDB, and TiKV, defining service configurations, health checks, and resource limits.
- Included broker.conf for RocketMQ to specify broker settings.
- Established a consistent timezone (UTC) across all services.
- Provided optional port overrides in .env.example files for flexibility in deployment.

src/clickhouse/.env.example

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+# ClickHouse version
+CLICKHOUSE_VERSION=24.11.1.2557
+
+# Timezone
+TZ=UTC
+
+# Database configuration
+CLICKHOUSE_DB=default
+CLICKHOUSE_USER=default
+CLICKHOUSE_PASSWORD=clickhouse
+CLICKHOUSE_DEFAULT_ACCESS_MANAGEMENT=1
+
+# Port overrides (optional)
+# CLICKHOUSE_HTTP_PORT_OVERRIDE=8123
+# CLICKHOUSE_NATIVE_PORT_OVERRIDE=9000
+# CLICKHOUSE_MYSQL_PORT_OVERRIDE=9004
+# CLICKHOUSE_POSTGRES_PORT_OVERRIDE=9005

src/clickhouse/README.md

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+# ClickHouse
+
+ClickHouse is a fast open-source column-oriented database management system that allows generating analytical data reports in real-time.
+
+## Usage
+
+```bash
+docker compose up -d
+```
+
+## Configuration
+
+Key environment variables:
+
+- `CLICKHOUSE_DB`: Default database name (default: `default`)
+- `CLICKHOUSE_USER`: Default user name (default: `default`)
+- `CLICKHOUSE_PASSWORD`: Default user password (default: `clickhouse`)
+- `CLICKHOUSE_DEFAULT_ACCESS_MANAGEMENT`: Enable SQL-driven access control (default: `1`)
+
+## Ports
+
+- `8123`: HTTP interface
+- `9000`: Native TCP protocol
+- `9004`: MySQL protocol emulation
+- `9005`: PostgreSQL protocol emulation
+
+## Access
+
+### HTTP Interface
+
+```bash
+curl 'http://localhost:8123/?user=default&password=clickhouse' -d 'SELECT 1'
+```
+
+### ClickHouse Client
+
+```bash
+docker compose exec clickhouse clickhouse-client --user default --password clickhouse
+```
+
+### MySQL Protocol
+
+```bash
+mysql -h127.0.0.1 -P9004 -udefault -pclickhouse
+```
+
+### PostgreSQL Protocol
+
+```bash
+psql -h127.0.0.1 -p9005 -Udefault
+```
+
+## Example Queries
+
+```sql
+-- Create a table
+CREATE TABLE events (
+    event_date Date,
+    event_type String,
+    user_id UInt32
+) ENGINE = MergeTree()
+ORDER BY (event_date, event_type);
+
+-- Insert data
+INSERT INTO events VALUES ('2024-01-01', 'click', 1), ('2024-01-01', 'view', 2);
+
+-- Query data
+SELECT * FROM events;
+```
+
+## Notes
+
+- ClickHouse is optimized for OLAP (Online Analytical Processing) workloads
+- It excels at aggregating large amounts of data quickly
+- For production, consider using a cluster setup with replication
+- Custom configurations can be mounted in `/etc/clickhouse-server/config.d/` and `/etc/clickhouse-server/users.d/`
+
+## References
+
+- [ClickHouse Official Documentation](https://clickhouse.com/docs)
+- [ClickHouse Docker Hub](https://hub.docker.com/r/clickhouse/clickhouse-server)

src/clickhouse/README.zh.md

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+# ClickHouse
+
+ClickHouse 是一个快速的开源列式数据库管理系统，支持实时生成分析数据报告。
+
+## 使用方法
+
+```bash
+docker compose up -d
+```
+
+## 配置说明
+
+主要环境变量：
+
+- `CLICKHOUSE_DB`：默认数据库名称（默认：`default`）
+- `CLICKHOUSE_USER`：默认用户名（默认：`default`）
+- `CLICKHOUSE_PASSWORD`：默认用户密码（默认：`clickhouse`）
+- `CLICKHOUSE_DEFAULT_ACCESS_MANAGEMENT`：启用 SQL 驱动的访问控制（默认：`1`）
+
+## 端口说明
+
+- `8123`：HTTP 接口
+- `9000`：Native TCP 协议
+- `9004`：MySQL 协议模拟
+- `9005`：PostgreSQL 协议模拟
+
+## 访问方式
+
+### HTTP 接口
+
+```bash
+curl 'http://localhost:8123/?user=default&password=clickhouse' -d 'SELECT 1'
+```
+
+### ClickHouse 客户端
+
+```bash
+docker compose exec clickhouse clickhouse-client --user default --password clickhouse
+```
+
+### MySQL 协议
+
+```bash
+mysql -h127.0.0.1 -P9004 -udefault -pclickhouse
+```
+
+### PostgreSQL 协议
+
+```bash
+psql -h127.0.0.1 -p9005 -Udefault
+```
+
+## 示例查询
+
+```sql
+-- 创建表
+CREATE TABLE events (
+    event_date Date,
+    event_type String,
+    user_id UInt32
+) ENGINE = MergeTree()
+ORDER BY (event_date, event_type);
+
+-- 插入数据
+INSERT INTO events VALUES ('2024-01-01', 'click', 1), ('2024-01-01', 'view', 2);
+
+-- 查询数据
+SELECT * FROM events;
+```
+
+## 注意事项
+
+- ClickHouse 专为 OLAP（在线分析处理）工作负载优化
+- 擅长快速聚合大量数据
+- 生产环境建议使用集群配置和复制功能
+- 自定义配置可以挂载到 `/etc/clickhouse-server/config.d/` 和 `/etc/clickhouse-server/users.d/`
+
+## 参考资料
+
+- [ClickHouse 官方文档](https://clickhouse.com/docs)
+- [ClickHouse Docker Hub](https://hub.docker.com/r/clickhouse/clickhouse-server)

src/clickhouse/docker-compose.yaml

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+x-default: &default
+  restart: unless-stopped
+  logging:
+    driver: json-file
+    options:
+      max-size: 100m
+      max-file: "3"
+
+services:
+  clickhouse:
+    <<: *default
+    image: clickhouse/clickhouse-server:${CLICKHOUSE_VERSION:-24.11.1.2557}
+    hostname: clickhouse
+    environment:
+      TZ: ${TZ:-UTC}
+      CLICKHOUSE_DB: ${CLICKHOUSE_DB:-default}
+      CLICKHOUSE_USER: ${CLICKHOUSE_USER:-default}
+      CLICKHOUSE_PASSWORD: ${CLICKHOUSE_PASSWORD:-clickhouse}
+      CLICKHOUSE_DEFAULT_ACCESS_MANAGEMENT: ${CLICKHOUSE_DEFAULT_ACCESS_MANAGEMENT:-1}
+    volumes:
+      - clickhouse_data:/var/lib/clickhouse
+      - clickhouse_logs:/var/log/clickhouse-server
+      # Custom configuration
+      # - ./config.xml:/etc/clickhouse-server/config.d/config.xml
+      # - ./users.xml:/etc/clickhouse-server/users.d/users.xml
+    ports:
+      - "${CLICKHOUSE_HTTP_PORT_OVERRIDE:-8123}:8123"
+      - "${CLICKHOUSE_NATIVE_PORT_OVERRIDE:-9000}:9000"
+      - "${CLICKHOUSE_MYSQL_PORT_OVERRIDE:-9004}:9004"
+      - "${CLICKHOUSE_POSTGRES_PORT_OVERRIDE:-9005}:9005"
+    ulimits:
+      nofile:
+        soft: 262144
+        hard: 262144
+    deploy:
+      resources:
+        limits:
+          cpus: '4.0'
+          memory: 4G
+        reservations:
+          cpus: '1.0'
+          memory: 1G
+    healthcheck:
+      test: ["CMD-SHELL", "wget --no-verbose --tries=1 --spider http://localhost:8123/ping || exit 1"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 30s
+
+volumes:
+  clickhouse_data:
+  clickhouse_logs: