章 HugeGraph搭建
检查依赖及安装相关依赖

1.安装jdk-1.8
java -version
2.安装GCC,版本>=4.3.0
gcc --version

部署(2种)
一键部署：

wget https://github.com/hugegraph/hugegraph-tools/releases/download/v${version}/hugegraph-tools-${version}.tar.gz
tar -zxvf hugegraph-tools-${version}.tar.gz
cd hugegraph-tools-${version}

下载tar包部署

wget https://github.com/hugegraph/hugegraph/releases/download/v${version}/hugegraph-${version}.tar.gz
tar -zxvf hugegraph-${version}.tar.gz



配置(使用hbase集群做存储并开Kerberos)
1.gremlin-server.yaml配置

# host and port of gremlin server, need to be consistent with host and port in rest-server.properties
#host: 127.0.0.1
#port: 8182

# timeout in ms of gremlin query
scriptEvaluationTimeout: 30000

channelizer: org.apache.tinkerpop.gremlin.server.channel.WsAndHttpChannelizer
graphs: {
hugegraph: conf/hugegraph.properties
}
scriptEngines: {
gremlin-groovy: {
plugins: {
com.baidu.hugegraph.plugin.HugeGraphGremlinPlugin: {},
org.apache.tinkerpop.gremlin.server.jsr223.GremlinServerGremlinPlugin: {},
org.apache.tinkerpop.gremlin.jsr223.ImportGremlinPlugin: {
classImports: [
java.lang.Math,
com.baidu.hugegraph.backend.id.IdGenerator,
com.baidu.hugegraph.type.define.Directions,
com.baidu.hugegraph.type.define.NodeRole,
com.baidu.hugegraph.traversal.algorithm.CustomizePathsTraverser,
com.baidu.hugegraph.traversal.algorithm.CustomizedCrosspointsTraverser,
com.baidu.hugegraph.traversal.algorithm.FusiformSimilarityTraverser,
com.baidu.hugegraph.traversal.algorithm.HugeTraverser,
com.baidu.hugegraph.traversal.algorithm.NeighborRankTraverser,
com.baidu.hugegraph.traversal.algorithm.PathsTraverser,
com.baidu.hugegraph.traversal.algorithm.PersonalRankTraverser,
com.baidu.hugegraph.traversal.algorithm.ShortestPathTraverser,
com.baidu.hugegraph.traversal.algorithm.SubGraphTraverser,
com.baidu.hugegraph.traversal.optimize.Text,
com.baidu.hugegraph.traversal.optimize.TraversalUtil,
com.baidu.hugegraph.util.DateUtil
],
methodImports: [java.lang.Math#*]
},
org.apache.tinkerpop.gremlin.jsr223.ScriptFileGremlinPlugin: {
files: [scripts/empty-sample.groovy]
}
}
}
}
serializers:
- { className: org.apache.tinkerpop.gremlin.driver.ser.GraphBinaryMessageSerializerV1,
config: {
serializeResultToString: false,
ioRegistries: [com.baidu.hugegraph.io.HugeGraphIoRegistry]
}
}
- { className: org.apache.tinkerpop.gremlin.driver.ser.GraphSONMessageSerializerV1d0,
config: {
serializeResultToString: false,
ioRegistries: [com.baidu.hugegraph.io.HugeGraphIoRegistry]
}
}
- { className: org.apache.tinkerpop.gremlin.driver.ser.GraphSONMessageSerializerV2d0,
config: {
serializeResultToString: false,
ioRegistries: [com.baidu.hugegraph.io.HugeGraphIoRegistry]
}
}
- { className: org.apache.tinkerpop.gremlin.driver.ser.GraphSONMessageSerializerV3d0,
config: {
serializeResultToString: false,
ioRegistries: [com.baidu.hugegraph.io.HugeGraphIoRegistry]
}
}
metrics: {
consoleReporter: {enabled: false, interval: 180000},
csvReporter: {enabled: false, interval: 180000, fileName: ./metrics/gremlin-server-metrics.csv},
jmxReporter: {enabled: false},
slf4jReporter: {enabled: false, interval: 180000},
gangliaReporter: {enabled: false, interval: 180000, addressingMode: MULTICAST},
graphiteReporter: {enabled: false, interval: 180000}
}
maxInitialLineLength: 4096
maxHeaderSize: 8192
maxChunkSize: 8192
maxContentLength: 65536
maxAccumulationBufferComponents: 1024
resultIterationBatchSize: 64
writeBufferLowWaterMark: 32768
writeBufferHighWaterMark: 65536
ssl: {
enabled: false
}



上面的配置项很多，但目前只需要关注如下几个配置项：channelizer 和 graphs。

graphs：GremlinServer 启动时需要打开的图，该项是一个 map 结构，key 是图的名字，value 是该图的配置文件路径；
channelizer：GremlinServer 与客户端有两种通信方式，分别是 WebSocket 和 HTTP（默认）。如果选择 WebSocket， 用户可以通过 Gremlin-Console 快速体验 HugeGraph 的特性，但是不支持大规模数据导入， 推荐使用 HTTP 的通信方式，HugeGraph 的外围组件都是基于 HTTP 实现的；
默认GremlinServer是服务在 localhost:8182，如果需要修改，配置 host、port 即可

host：部署 GremlinServer 机器的机器名或 IP，目前 HugeGraphServer 不支持分布式部署，且GremlinServer不直接暴露给用户;
port：部署 GremlinServer 机器的端口
同时需要在 rest-server.properties 中增加对应的配置项 gremlinserver.url=http://host:port

2.rest-server.properties

3.嗡嗡嗡
HBase后端配置

# hbase backend config
hbase.hosts=hbase_zk_ip
hbase.port=2181
hbase.znode_parent=/hbase-secure
hbase.threads_max=64
hbase.zk_retry=3
hbase.aggregation_timeout=43200
hbase.kerberos_enable=true
hbase.kerberos_keytab=/home/hugegraph/hbase.service.keytab
hbase.kerberos_principal=hbase/test@HADOOP.COM
hbase.krb5_conf=/etc/krb5.conf


启动

hbase开启Kerberos，hugegraph（0.11.2）初始化报错：javax.security.auth.login.LoginException: Cannot find any provider supporting AES/CBC/NoPadding #1566

通过在init-store.sh添加$JAVA_HOME/jre/lib/ext 进行解决

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版权声明：本文为CSDN博主「九万里_w」的原创文章，遵循CC 4.0 BY-SA版权协议，转载请附上原文出处链接及本声明。
原文链接：https://blog.csdn.net/HM_RQ/article/details/119598501