aroundabout commented on code in PR #288:
URL:
https://github.com/apache/incubator-hugegraph-doc/pull/288#discussion_r1350055236
##########
content/cn/docs/quickstart/hugegraph-server.md:
##########
@@ -462,125 +582,5 @@ $bin/stop-hugegraph.sh
### 8 使用 IntelliJ IDEA 调试 Server
请参考[在 IDEA 中配置 Server
开发环境](/docs/contribution-guidelines/hugegraph-server-idea-setup)
-
-### 9 在启动 Server 时创建示例图
-
-有三种方式可以在启动 Server 时创建示例图
-- 方式一：直接修改配置文件
-- 方式二：启动脚本使用命令行参数
-- 方式三：使用 docker 或 docker-compose 添加环境变量
-
-#### 9.1 直接修改配置文件
-
-修改 `conf/gremlin-server.yaml`，将 `empty-sample.groovy` 修改为 `example.groovy`：
-
-```yaml
-org.apache.tinkerpop.gremlin.jsr223.ScriptFileGremlinPlugin: {
- files: [scripts/example.groovy]
-}
-```
-
-修改 `scripts/example.groovy`，将：
-
-```groovy
-RegisterUtil.registerRocksDB()
-conf = "conf/graphs/hugegraph.properties"
-graph = HugeFactory.open(conf)
-graph.serverStarted(IdGenerator.of("server-tinkerpop"), NodeRole.MASTER)
-schema = graph.schema()
-```
-
-修改为：
-
-```groovy
-conf = "conf/graphs/hugegraph.properties"
-graph = HugeFactory.open(conf)
-schema = graph.schema()
-```
-
-然后使用脚本启动 HugeGraph-Server，如果打印出类似日志：
-
-```java
-2023-06-10 19:41:14 [main] [INFO] o.a.h.d.HugeGremlinServer
[org.apache.hugegraph.dist.HugeGremlinServer.start(HugeGremlinServer.java:38)]
- 3.5.1
- \,,,/
- (o o)
------oOOo-(3)-oOOo-----
-
-2023-06-10 19:41:14 [main] [INFO] o.a.h.u.ConfigUtil
[org.apache.hugegraph.util.ConfigUtil.scanGraphsDir(ConfigUtil.java:88)] -
Scanning option 'graphs' directory './conf/graphs'
-2023-06-10 19:41:14 [main] [INFO] o.a.h.d.HugeGremlinServer
[org.apache.hugegraph.dist.HugeGremlinServer.start(HugeGremlinServer.java:52)]
- Configuring Gremlin Server from
/Users/dingyuchen/Desktop/hugegraph/apache-hugegraph-incubating-1.0.0/conf/gremlin-server.yaml
->>>> query all vertices: size=6
->>>> query all edges: size=6
-```
-
-并且使用 RESTful API 请求 `HugeGraphServer` 得到如下结果：
-
-```javascript
-> curl "http://localhost:8080/graphs/hugegraph/graph/vertices"; | gunzip
-
- % Total % Received % Xferd Average Speed Time Time Time Current
- Dload Upload Total Spent Left Speed
-100 222 100 222 0 0 3163 0 --:--:-- --:--:-- --:--:-- 3964
-{"vertices":[{"id":"2:lop","label":"software","type":"vertex","properties":{"name":"lop","lang":"java","price":328}},{"id":"1:josh","label":"person","type":"vertex","properties":{"name":"josh","age":32,"city":"Beijing"}},{"id":"1:marko","label":"person","type":"vertex","properties":{"name":"marko","age":29,"city":"Beijing"}},{"id":"1:peter","label":"person","type":"vertex","properties":{"name":"peter","age":35,"city":"Shanghai"}},{"id":"1:vadas","label":"person","type":"vertex","properties":{"name":"vadas","age":27,"city":"Hongkong"}},{"id":"2:ripple","label":"software","type":"vertex","properties":{"name":"ripple","lang":"java","price":199}}]}
-```
-
-代表创建示例图成功。
-
-> 使用 IntelliJ IDEA 在启动 Server 时创建示例图的流程类似，不再赘述。
-
-
-#### 9.2 启动脚本时指定参数
-
-在脚本启动时候携带 `-p true`参数，表示 preload, 即创建示例图图
-
-```
-bin/start-hugegraph.sh -p true
-Starting HugeGraphServer in daemon mode...
-Connecting to HugeGraphServer (http://127.0.0.1:8080/graphs)......OK
-```
-
-并且使用 RESTful API 请求 `HugeGraphServer` 得到如下结果：
-
-```javascript
-> curl "http://localhost:8080/graphs/hugegraph/graph/vertices"; | gunzip
-
-{"vertices":[{"id":"2:lop","label":"software","type":"vertex","properties":{"name":"lop","lang":"java","price":328}},{"id":"1:josh","label":"person","type":"vertex","properties":{"name":"josh","age":32,"city":"Beijing"}},{"id":"1:marko","label":"person","type":"vertex","properties":{"name":"marko","age":29,"city":"Beijing"}},{"id":"1:peter","label":"person","type":"vertex","properties":{"name":"peter","age":35,"city":"Shanghai"}},{"id":"1:vadas","label":"person","type":"vertex","properties":{"name":"vadas","age":27,"city":"Hongkong"}},{"id":"2:ripple","label":"software","type":"vertex","properties":{"name":"ripple","lang":"java","price":199}}]}
-```
-
-代表创建示例图成功。
-
-
-#### 9.3 使用 docker 启动
-
-在 docker 启动的时候设置环境变量 `PRELOAD=true`, 从而实现启动脚本的时候加载数据。
-
-1. 使用`docker run`
-
- 使用 `docker run -itd --name=graph -p 18080:8080 -e PRELOAD=true
hugegraph/hugegraph:latest`
-
-2. 使用`docker-compose`
-
- 创建`docker-compose.yml`，具体文件如下
-
- ```yaml
- version: '3'
- services:
- graph:
- image: hugegraph/hugegraph:latest
- container_name: graph
- environment:
- - PRELOAD=true
- ports:
- - 18080:8080
- ```
-
- 使用命令 `docker-compose up -d` 启动容器
-
-使用 RESTful API 请求 `HugeGraphServer` 得到如下结果：
-
-```javascript
-> curl "http://localhost:18080/graphs/hugegraph/graph/vertices"; | gunzip
-
-{"vertices":[{"id":"2:lop","label":"software","type":"vertex","properties":{"name":"lop","lang":"java","price":328}},{"id":"1:josh","label":"person","type":"vertex","properties":{"name":"josh","age":32,"city":"Beijing"}},{"id":"1:marko","label":"person","type":"vertex","properties":{"name":"marko","age":29,"city":"Beijing"}},{"id":"1:peter","label":"person","type":"vertex","properties":{"name":"peter","age":35,"city":"Shanghai"}},{"id":"1:vadas","label":"person","type":"vertex","properties":{"name":"vadas","age":27,"city":"Hongkong"}},{"id":"2:ripple","label":"software","type":"vertex","properties":{"name":"ripple","lang":"java","price":199}}]}
-```
-
-代表创建示例图成功。
+
+\
Review Comment:
```suggestion
```
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