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Hugegrap集群部署之Rocksdb存储 Hugegrap集群部署之Rocksdb存储 服务器信息 服务器ipRole配置信息192.168.230.128master32c64G1000G192.168.230.129worker32C64G1000G192.168.230.130worker32C64G1000G下载安装包 这里推荐使用1.5.0版本，途中踩了很多坑研究了很长时间，参考 https://github.com/apache/incubator-hugegraph/issues/2787# 服务包 https://www.apache.org/dyn/closer.lua/incubator/hugegraph/1.5.0/apache-hugegraph-incubating-1.5.0.tar.gz?action=download# 工具包 https://www.apache.org/dyn/closer.lua/incubator/hugegraph/1.5.0/apache-hugegraph-toolchain-incubating-1.5.0.tar.gz?action=download开始部署Hugegraph tar xf apache-hugegraph-incubating-1.5.0.tar.gz -C /home/hugegraph cd /home/hugegraph/apache-hugegraph-server-incubating-1.5.0/conf# 192.168.230.128 修改配置文件如下 [root@localhost conf]# cat rest-server.properties # 允许所有ip访问 restserver.url=http://0.0.0.0:8080 graphs=./conf/graphs batch.max_write_ratio=80 batch.max_write_threads=0 arthas.telnet_port=8562 arthas.http_port=8561 arthas.ip=127.0.0.1 arthas.disabled_commands=jad # 是否开启鉴权 auth.authenticator=org.apache.hugegraph.auth.StandardAuthenticator auth.graph_store=hugegraph # 本机ip rpc.server_host=192.168.230.128 rpc.server_port=8091 rpc.server_timeout=30 # 集群ip信息 rpc.remote_url=192.168.230.128:8091,192.168.230.129:8092,192.168.230.130:8093 #rpc.client_connect_timeout=20 #rpc.client_reconnect_period=10 #rpc.client_read_timeout=40 #rpc.client_retries=3 #rpc.client_load_balancer=consistentHash # id不可重复 server.id=server-1 server.role=master # slow query log log.slow_query_threshold=1000 # jvm(in-heap) memory usage monitor, set 1 to disable it memory_monitor.threshold=0.85 memory_monitor.period=2000# 192.168.230.128 修改配置文件如下 [root@localhost conf]# vim graphs/hugegraph.properties gremlin.graph=org.apache.hugegraph.HugeFactory vertex.cache_type=l2 edge.cache_type=l2 backend=rocksdb serializer=binary store=hugegraph task.scheduler_type=local task.schedule_period=10 task.retry=0 task.wait_timeout=10 search.text_analyzer=jieba search.text_analyzer_mode=INDEX rocksdb.data_path=./data rocksdb.wal_path=./wal raft.mode=true raft.group_peers=192.168.230.128:8091,192.168.230.129:8092,192.168.230.130:8093 # 参数优化。具体看官网介绍，这个是字节单位不可写MB GB单位否则报错 # 我这是参考官方的64G的优化 也可不写 rocksdb.write_buffer_size=134217728 rocksdb.max_write_buffer_number=6 rocksdb.block_cache_size=8589934592# 发送到129 和 130 服务器 # 128服务器执行 cd /home scp -r hugegraph/ root@192.168.230.129:/home # 输入服务器密码发送 # 129服务器修改 rest-server.properties rpc.server_host=192.168.230.129 rpc.server_port=8092 server.id=server-2 server.role=worker # 130服务器修改 rest-server.properties rpc.server_host=192.168.230.130 rpc.server_port=8093 server.id=server-3 server.role=worker# 初始化rocksdb 三台设备都需要操作 cd /home/hugegraph/apache-hugegraph-server-incubating-1.5.0/bin ./init-store.sh # 输入密码。 访问Hugegraph时需要使用 三台都要输入image-20250609151555046图片 # 三台都要操作，启动服务 [root@localhost bin]# ./start-hugegraph.sh Starting HugeGraphServer in daemon mode... Connecting to HugeGraphServer (http://0.0.0.0:8080/graphs)............... The operation timed out(30s) when attempting to connect to http://0.0.0.0:8080/graphs See /home/apache-hugegraph-incubating-1.5.0/apache-hugegraph-server-incubating-1.5.0/logs/hugegraph-server.log for HugeGraphServer log output. # 可能会报错，稍等一会就好验证集群状态 [root@localhost conf]# curl -X GET "http://192.168.230.128:8080/graphs/hugegraph/raft/list_peers" -u admin:创建时的密码 |jq % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 84 100 84 0 0 8581 0 --:--:-- --:--:-- --:--:-- 9333 { "hugegraph": [ "192.168.230.128:8091", "192.168.230.129:8092", "192.168.230.130:8093" ] } [root@localhost conf]# curl -X GET "http://192.168.230.128:8080/graphs/hugegraph/raft/get_leader" -u admin:123456 |jq % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 36 100 36 0 0 3610 0 --:--:-- --:--:-- --:--:-- 3600 { "hugegraph": "192.168.230.128:8091" }常用接口如下： 查询 Raft 集群所有节点（peers）： GET http://<host>:<port>/graphs/<graph>/raft/list_peers 查询当前 leader 节点： GET http://<host>:<port>/graphs/<graph>/raft/get_leader 查询系统健康指标： GET http://<host>:<port>/metrics/system 查询后端存储健康指标： GET http://<host>:<port>/metrics/backend curl -X GET "http://192.168.230.128:8080/graphs/hugegraph/raft/list_peers" -u admin:密码"部署web可视化工具 # 三台设备随便一个设备部署即可 tar xf apache-hugegraph-toolchain-incubating-1.5.0.tar.gz -C /home cd /home/apache-hugegraph-toolchain-incubating-1.5.0/apache-hugegraph-hubble-incubating-1.5.0/bin ./start-hubble.sh 访问web 部署hubel的机器ip:8088创建图 创建顶点和边测试 image-20250609171519486图片 image-20250609171705301图片 image-20250609171819228图片
