环境要求
1、虚拟机（CentOS7.3）
2、关闭防火墙和SELinux
3、配置好JDK
Cassandra的安装启动
1、下载Cassandra安装包（使用3.0以上的，为兼容hugegraph）
- Downloading Cassandra 下载最新稳定发行版
- 解压：tar -zxvf apache-cassandra-3.11.3-bin.tar.gz -C /usr/local/
2、新建数据存储路径
- mkdir /var/lib/cassandra/data
- mkdir /var/lib/cassandra/commitlog
- mkdir /var/lib/cassandra/saved_caches
3、配置${CASSANDRA_HOME}/conf/cassandra.yaml
（${CASSANDRA_HOME}为Cassandra安装路径）
- 基本配置
data_file_directories:
- /var/lib/cassandra/data // 数据文件存放路径。打开这个注释，注意不要合并成一行，合并成一行好像会出问题，这里要与前面新建的文件夹对应。
commitlog_directory: /var/lib/cassandra/commitlog // 操作日志文件存放路径。打开注释，与前面新建的文件夹对应。
saved_caches_directory: /var/lib/cassandra/saved_caches // 缓存文件存放路径。打开注释，与前面新建的文件夹对应。
- 开启默认密码
authenticator: PasswordAuthenticator // 默认AllowAllAuthenticator
authorizer: CassandraAuthorizer // 默认AllowAllAuthorizer
启动后使用：./cqlsh -u cassandra -p cassandra ip port
- CREATE USER myusername WITH PASSWORD 'mypassword' SUPERUSER;（这里用户有两种，一个是superuser，一种是nosuperuser）
- 供外部工具连接CassandraManager访问
rpc_address: 0.0.0.0 // 用于监听客户端连接的地址，默认127.0.0.1
broadcast_rpc_address: 1.2.3.4 // 若rpc_address设置0.0.0.0，则要放开此注释
- 集群模式
cluster_name: 'xxx' // 集群名称。同一个集群要使用同一名称
- seeds: "192.168.x.x" // 集群种子节点ip,新加入集群的节点从种子节点中同步数据。可配置多个，中间用逗号隔开。
listen_address: 127.0.0.1 // 需要监听的IP或主机名。改成本机IP
4、启动服务（启动后默认端口为9042）
cd ${CASSANDRA_HOME}/bin
./cassandra -R # root用户启动
部署 HugeGraph
1、先安装 hugegraph-0.7.4
- 下载 hugegraph-0.7.4.tar.gz
- 解压：tar -zxvf hugegraph-0.7.4.tar.gz -C /home/hugegraph
2、配置${hugegraph_home}/conf:rest-server.properties和hugegraph.properties
- rest-server.properties
# bind url
restserver.url=http://127.0.0.1:8080 // 如果被占用，可改为其他端口，等会配置hugegraph-studio用到
# gremlin url to connect
gremlinserver.url=http://127.0.0.1:8182 // 基本不动
# graphs list with pair NAME:CONF_PATH
graphs=[hugegraph:conf/hugegraph.properties]
# authentication
#auth.require_authentication=
#auth.admin_token=
#auth.user_tokens=[]
- hugegraph.properties（以Cassandra数据库为例）
# gremlin entrence to create graph
gremlin.graph=com.baidu.hugegraph.HugeFactory
# cache config
#schema.cache_capacity=1048576
#graph.cache_capacity=10485760
#graph.cache_expire=600
# schema illegal name template
#schema.illegal_name_regex=\s+|~.*
#vertex.default_label=vertex
backend=cassandra
serializer=cassandra
store=cassandra // 为需要连得Cassandra的keyspace,相当于Mysql的库
# rocksdb backend config
#backend=rocksdb
#serializer=binary
#rocksdb.data_path=/path/to/disk
#rocksdb.wal_path=/path/to/disk
# cassandra backend config
cassandra.host=localhost // Cassandra安装主机的IP
cassandra.port=9042 // hugegraph支持的端口目前限制在[1024-10000]
cassandra.username=
cassandra.password=
#cassandra.connect_timeout=5
#cassandra.read_timeout=20
#cassandra.keyspace.strategy=SimpleStrategy
#cassandra.keyspace.replication=3
# mysql backend config
#jdbc.url=jdbc:mysql://127.0.0.1:3306
#jdbc.username=root
#jdbc.password=
#jdbc.reconnect_max_times=3
#jdbc.reconnect_interval=3
# palo backend config
#palo.host=127.0.0.1
#palo.poll_interval=10
#palo.temp_dir=./palo-data
#palo.file_limit_size=32
初始化数据库${hugegraph_home}/bin/init-store.sh
$ bin/init-store.sh
Initing HugeGraph Store...
2018-12-06 11:26:51 1424 [main] [INFO ] com.baidu.hugegraph.HugeGraph [] - Opening backend store: 'cassandra'
2018-12-06 11:26:52 2389 [main] [INFO ] com.baidu.hugegraph.backend.store.cassandra.CassandraStore [] - Failed to connect keyspace: hugegraph, try init keyspace later
2018-12-06 11:26:52 2472 [main] [INFO ] com.baidu.hugegraph.backend.store.cassandra.CassandraStore [] - Failed to connect keyspace: hugegraph, try init keyspace later
2018-12-06 11:26:52 2557 [main] [INFO ] com.baidu.hugegraph.backend.store.cassandra.CassandraStore [] - Failed to connect keyspace: hugegraph, try init keyspace later
2018-12-06 11:26:53 2797 [main] [INFO ] com.baidu.hugegraph.backend.store.cassandra.CassandraStore [] - Store initialized: graph
2018-12-06 11:26:53 2945 [main] [INFO ] com.baidu.hugegraph.backend.store.cassandra.CassandraStore [] - Store initialized: schema
2018-12-06 11:26:53 3044 [main] [INFO ] com.baidu.hugegraph.backend.store.cassandra.CassandraStore [] - Store initialized: graph
2018-12-06 11:26:53 3046 [pool-3-thread-1] [INFO ] com.baidu.hugegraph.backend.Transaction [] - Clear cache on event 'store.init'
启动服务${hugegraph_home}/bin/start-hugegraph.sh
$ bin/start-hugegraph.sh
Starting HugeGraphServer...
Connecting to HugeGraphServer (http://127.0.0.1:8080/graphs)....OK
部署 HugeGraphStudio
1、下载安装 hugegraph-studio
- 下载 hugegraph-studio-0.6.1.tar.gz
- 解压：tar -zxvf hugegraph-studio-0.6.1.tar.gz -C /home/hugegraph
2、配置${hugegraph-studio_home}/conf/hugegraph-studio.properties
studio.server.port=8088 // 页面访问端口
studio.server.host=localhost // 允许访问地址，建议改为 0.0.0.0
graph.server.host=localhost // hugegraph服务的地址
graph.server.port=8080 // hugegraph服务的端口
graph.name=hugegraph // 服务的名字，不更改，否则页面Gremlin执行命令时报错
# the directory name released by react
studio.server.ui=ui
# the file location of studio-api.war
studio.server.api.war=war/studio-api.war
# default folder in your home directory, set to a non-empty value to override
data.base_directory=~/.hugegraph-studio
show.limit.data=250
show.limit.edge.total=1000
show.limit.edge.increment=20
# separator ','
gremlin.limit_suffix=[.V(),.E(),.hasLabel(STR),.hasLabel(NUM),.path()]
# ui graph style
vertex.vis.font.color=#343434
vertex.vis.font.size=12
vertex.vis.size=25
vertex.vis.scaling.min=25
vertex.vis.scaling.max=30
vertex.vis.shape=dot
vertex.vis.color=[\
{"default":"#ED5736","hover":"#312520","highlight":"#ED5736"},\
{"default":"#48C0A3","hover":"#312520","highlight":"#48C0A3"},\
{"default":"#F47983","hover":"#312520","highlight":"#F47983"},\
{"default":"#4C8DAE","hover":"#312520","highlight":"#4C8DAE"},\
{"default":"#FF8C31","hover":"#312520","highlight":"#FF8C31"},\
{"default":"#3B2E7E","hover":"#312520","highlight":"#3B2E7E"},\
{"default":"#60281E","hover":"#312520","highlight":"#60281E"},\
{"default":"#B36D61","hover":"#312520","highlight":"#B36D61"},\
{"default":"#C89B40","hover":"#312520","highlight":"#C89B40"},\
{"default":"#8D4BBB","hover":"#312520","highlight":"#8D4BBB"},\
{"default":"#6E511E","hover":"#312520","highlight":"#6E511E"},\
{"default":"#789262","hover":"#312520","highlight":"#789262"},\
{"default":"#177CB0","hover":"#312520","highlight":"#177CB0"},\
{"default":"#8C4356","hover":"#312520","highlight":"#8C4356"}\
]
edge.vis.color.default=#A0A0A0
edge.vis.color.hover=#808080
edge.vis.color.highlight=#606060
edge.vis.font.color=#77777
edge.vis.font.size=11
3、启动服务 ${hugegraph-studio_home}/bin/hugegraph-studio.sh
$ bin/hugegraph-studio.sh
...
信息: Starting ProtocolHandler [http-nio-127.0.0.1-8088]
11:26:53.297 [main] INFO com.baidu.hugegraph.studio.HugeGraphStudio ID: TS: - HugeGraphStudio is now running on: http://localhost:8088
4、访问 http://${hugegraph-studio_IP}:8088/
HugeGraph UI
5、创建数据
// 创建属性类型（PropertyKey）
graph.schema().propertyKey("name").asText().ifNotExist().create()
graph.schema().propertyKey("age").asInt().ifNotExist().create()
graph.schema().propertyKey("city").asText().ifNotExist().create()
graph.schema().propertyKey("lang").asText().ifNotExist().create()
graph.schema().propertyKey("date").asText().ifNotExist().create()
graph.schema().propertyKey("price").asInt().ifNotExist().create()
// 创建顶点类型（VertexLabel）
person = graph.schema().vertexLabel("person").properties("name", "age", "city").primaryKeys("name").ifNotExist().create()
software = graph.schema().vertexLabel("software").properties("name", "lang", "price").primaryKeys("name").ifNotExist().create()
//创建边类型（EdgeLabel）
knows = graph.schema().edgeLabel("knows").sourceLabel("person").targetLabel("person").properties("date").ifNotExist().create()
created = graph.schema().edgeLabel("created").sourceLabel("person").targetLabel("software").properties("date", "city").ifNotExist().create()
// 创建顶点（Vertex）和边（Edge）
marko = graph.addVertex(T.label, "person", "name", "marko", "age", 29, "city", "Beijing")
vadas = graph.addVertex(T.label, "person", "name", "vadas", "age", 27, "city", "Hongkong")
marko.addEdge("knows", vadas, "date", "20160110")
简单的图结构
参考
mrzhqiang【在 Linux 中安装 Cassandra】
[大岩不灿【如何设置cassandra用户名和密码】(https://zhaoyanblog.com/archives/307.html)]
一碗豆浆【Cassandra安装配置】
simplelovecs【Cassandra安装使用简介】
hugegraph官方文档
苏黎世黄昏【准备执行Gremlin的图形化环境】