Re: [I] 关于HugeGraph分布式部署的问题，能不能出个详细的教程啊，rocksdb部署一直报错，使用cassandra作为后端存储也报错nettfy-all的版本不兼容问题。 [incubator-hugegraph]

Sat, 07 Jun 2025 04:17:34 -0700 


dosubot[bot] commented on issue #2787:
URL: 
https://github.com/apache/incubator-hugegraph/issues/2787#issuecomment-2952369379

   <!-- Answer -->
   百亿级点边建议 JVM 堆内存（heap）至少 16GB 起步，生产环境推荐 32GB 甚至更高，具体取决于物理内存和业务压力。JVM 
大小不是在配置文件里设置，而是通过启动参数（如 -Xmx32g -Xms32g）或环境变量 JAVA_OPTS 设置。
   
   如果你用二进制包启动，直接修改启动脚本（如 bin/start-hugegraph.sh）或 export JAVA_OPTS="-Xms32g 
-Xmx32g ..." 后再启动。
   
   如果用 Docker 或 docker-compose，建议在 compose 文件或 docker run 命令里加环境变量，比如：
   
   ```yaml
   environment:
     - JAVA_OPTS=-Xms32g -Xmx32g -XX:+UseG1GC
   ```
   或
   ```bash
   docker run -e JAVA_OPTS="-Xms32g -Xmx32g -XX:+UseG1GC" ...
   ```
   HugeGraph 官方 Dockerfile 默认用 `-XX:MaxRAMPercentage=50`，你可以覆盖 JAVA_OPTS 让 JVM 
用更多内存 
[参考](https://github.com/apache/incubator-hugegraph/blob/337dc86567834acd717a2240a79fef2815d4bb6f/hugegraph-server/Dockerfile)。
   
   注意：JVM 堆内存建议不要超过物理内存一半，避免和 RocksDB native 内存抢资源。RocksDB 相关参数如 
`rocksdb.write_buffer_size`、`rocksdb.max_write_buffer_number`、`rocksdb.block_cache_size`
 也要合理调大，比如：
   
   ```
   rocksdb.write_buffer_size=128MB
   rocksdb.max_write_buffer_number=6
   rocksdb.block_cache_size=8GB
   ```
   这些写在 graphs/hugegraph.properties 里。
   
   如遇 OOM 或性能瓶颈，建议结合监控日志和实际业务量动态调整 
[参考](https://github.com/apache/incubator-hugegraph/issues/2762)。
   
   
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