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/duckdb/README.md

@@ -0,0 +1,91 @@
+# DuckDB
+
+DuckDB is an in-process SQL OLAP database management system designed to support analytical query workloads. It's embedded, zero-dependency, and extremely fast.
+
+## Usage
+
+```bash
+docker compose up -d
+```
+
+## Access
+
+### Interactive Shell
+
+Access DuckDB CLI:
+
+```bash
+docker compose exec duckdb duckdb /data/duckdb.db
+```
+
+### Execute Queries
+
+Run queries directly:
+
+```bash
+docker compose exec duckdb duckdb /data/duckdb.db -c "SELECT 1"
+```
+
+### Execute SQL File
+
+```bash
+docker compose exec duckdb duckdb /data/duckdb.db < query.sql
+```
+
+## Example Usage
+
+```sql
+-- Create a table
+CREATE TABLE users (id INTEGER, name VARCHAR);
+
+-- Insert data
+INSERT INTO users VALUES (1, 'Alice'), (2, 'Bob');
+
+-- Query data
+SELECT * FROM users;
+
+-- Load CSV file
+COPY users FROM '/import/users.csv' (HEADER);
+
+-- Export to CSV
+COPY users TO '/data/users_export.csv' (HEADER);
+
+-- Read Parquet file directly
+SELECT * FROM '/import/data.parquet';
+```
+
+## Features
+
+- **Embeddable**: No separate server process needed
+- **Fast**: Vectorized query execution engine
+- **Feature-rich**: Full SQL support with window functions, CTEs, etc.
+- **File formats**: Native support for CSV, JSON, Parquet
+- **Extensions**: PostgreSQL-compatible extensions
+
+## Mounting Data Files
+
+To import data files, mount them as volumes:
+
+```yaml
+volumes:
+  - ./data:/import:ro
+```
+
+Then access files in SQL:
+
+```sql
+SELECT * FROM '/import/data.csv';
+```
+
+## Notes
+
+- DuckDB is designed for analytical (OLAP) workloads, not transactional (OLTP)
+- The database file is stored in `/data/duckdb.db`
+- Data persists in the named volume `duckdb_data`
+- DuckDB can query files directly without importing them
+- For production workloads, ensure sufficient memory is allocated
+
+## References
+
+- [DuckDB Official Documentation](https://duckdb.org/docs/)
+- [DuckDB Docker Image](https://hub.docker.com/r/davidgasquez/duckdb)