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Posted to dev@hugegraph.apache.org by GitBox <gi...@apache.org> on 2022/07/07 13:48:42 UTC
[GitHub] [incubator-hugegraph] 2867021781 opened a new issue, #1925: raft+rocksdb可以实现扩容吗
2867021781 opened a new issue, #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925
### Problem Type (问题类型)
_No response_
### Before submit
- [X] 我已经确认现有的 [Issues](https://github.com/hugegraph/hugegraph/issues) 与 [FAQ](https://hugegraph.github.io/hugegraph-doc/guides/faq.html) 中没有相同 / 重复问题
### Environment (环境信息)
- Server Version: v0.12.0
- Backend: RocksDB x nodes, HDD or SSD
- OS: xx CPUs, xx G RAM, Centos 7.x
- Data Size: xx vertices, xx edges
### Your Question (问题描述)
各位大佬,
1、有谁知道raft+rocksdb搭建的集群,可以支持数据扩容吗?
2、因为调研资料说rocksdb是不支持动态扩缩容的,然后我又用hbase做了集群(hadoop zookeepe集群),可是发现没有raft+rocksdb的好用,在master上增加属性都没法同步到其他节点机器上,而rocskdb的能实现全备份,数据实时同步,不知道有没有什么解决方法呀?还是我的配置有问题导致没有实时同步
### Vertex/Edge example (问题点 / 边数据举例)
_No response_
### Schema [VertexLabel, EdgeLabel, IndexLabel] (元数据结构)
_No response_
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[GitHub] [incubator-hugegraph] 2867021781 commented on issue #1925: raft+rocksdb可以实现扩容吗
Posted by GitBox <gi...@apache.org>.
2867021781 commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-1182671911
我这边可以查到的啊,应该是部署的有问题,hbase集群正常吗
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[GitHub] [incubator-hugegraph] 2867021781 commented on issue #1925: raft+rocksdb可以实现扩容吗
Posted by GitBox <gi...@apache.org>.
2867021781 commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-1180358893
> 如果使用hbase后端搭建集群,也需要启用rpc族配置项,具体配置可参考:[#1760 (comment)](https://github.com/apache/incubator-hugegraph/issues/1760#issuecomment-1042863992)
rocksdb确实不能动态扩缩容是吗?
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[GitHub] [incubator-hugegraph] 2867021781 commented on issue #1925: raft+rocksdb可以实现扩容吗
Posted by GitBox <gi...@apache.org>.
2867021781 commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-1184093166
> @2867021781 HBase 正常,可否分享一下 `rest-server.properties` 的配置?
# bind url
restserver.url=http://172.30.15.101:8081
# gremlin server url, need to be consistent with host and port in gremlin-server.yaml
gremlinserver.url=http://172.30.15.101:8182
graphs=./conf/graphs
# The maximum thread ratio for batch writing, only take effect if the batch.max_write_threads is 0
batch.max_write_ratio=80
batch.max_write_threads=0
# authentication configs
# choose 'com.baidu.hugegraph.auth.StandardAuthenticator' or 'com.baidu.hugegraph.auth.ConfigAuthenticator'
#auth.authenticator=
# for StandardAuthenticator mode
#auth.graph_store=hugegraph
# auth client config
#auth.remote_url=127.0.0.1:8899,127.0.0.1:8898,127.0.0.1:8897
# for ConfigAuthenticator mode
#auth.admin_token=
#auth.user_tokens=[]
# rpc group configs of multi graph servers
# rpc server configs
rpc.server_host=172.30.15.101
rpc.server_port=8090
#rpc.server_timeout=30
# rpc client configs (like enable to keep cache consistency)
rpc.remote_url=172.30.15.101:8090,172.30.15.102:8090,172.30.15.103:8090
#rpc.client_connect_timeout=20
#rpc.client_reconnect_period=10
#rpc.client_read_timeout=40
#rpc.client_retries=3
#rpc.client_load_balancer=consistentHash
# lightweight load balancing (beta)
server.id=server-1
server.role=master
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[GitHub] [incubator-hugegraph] xudaddd commented on issue #1925: raft+rocksdb可以实现扩容吗
Posted by GitBox <gi...@apache.org>.
xudaddd commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-1246617058
感觉这个问题没有被回答呀...
比如现在已经有了一个3台机器组成的raft+rocksdb集群,集群里运行着一个叫hg的图(实际上三台机器上每台都有hg的rocksdb存储路径和数据),我想动态地(不停服务)向集群中添加第4台机器,现在是否支持?应该如何做呢?
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[GitHub] [incubator-hugegraph] 2867021781 commented on issue #1925: raft+rocksdb可以实现扩容吗
Posted by GitBox <gi...@apache.org>.
2867021781 commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-1180358401
>
已解决
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[GitHub] [incubator-hugegraph] javeme commented on issue #1925: raft+rocksdb可以实现扩容吗
Posted by GitBox <gi...@apache.org>.
javeme commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-1179935919
如果使用hbase后端搭建集群,也需要启用rpc族配置项,具体配置可参考:https://github.com/apache/incubator-hugegraph/issues/1760#issuecomment-1042863992
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Re: [I] raft+rocksdb可以实现扩容吗 [incubator-hugegraph]
Posted by "chenhong1990 (via GitHub)" <gi...@apache.org>.
chenhong1990 commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-2044481272
@z7658329 如果新创建图同步不了,那这个rocksdb高可用设置的意义在哪?必须用可支持集群的后端吗?一般遇见这类问题怎么解决?
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[GitHub] [incubator-hugegraph] simon824 commented on issue #1925: raft+rocksdb可以实现扩容吗
Posted by GitBox <gi...@apache.org>.
simon824 commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-1181562671
> 如果使用hbase后端搭建集群,也需要启用rpc族配置项,具体配置可参考:[#1760 (comment)](https://github.com/apache/incubator-hugegraph/issues/1760#issuecomment-1042863992)
关于 hbase 后端 + 多 hg-server 的部署方式我也有个疑问,在 server-1 创建的图,server-2 无法查询到,需要在 server-2 也创建该图后才能查询到,这是正常的吗还是bug?
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[GitHub] [incubator-hugegraph] 2867021781 commented on issue #1925: raft+rocksdb可以实现扩容吗
Posted by GitBox <gi...@apache.org>.
2867021781 commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-1184094576
# bind url
restserver.url=http://172.30.15.101:8081
# gremlin server url, need to be consistent with host and port in gremlin-server.yaml
gremlinserver.url=http://172.30.15.101:8182
graphs=./conf/graphs
# The maximum thread ratio for batch writing, only take effect if the batch.max_write_threads is 0
batch.max_write_ratio=80
batch.max_write_threads=0
# authentication configs
# choose 'com.baidu.hugegraph.auth.StandardAuthenticator' or 'com.baidu.hugegraph.auth.ConfigAuthenticator'
#auth.authenticator=
# for StandardAuthenticator mode
#auth.graph_store=hugegraph
# auth client config
#auth.remote_url=127.0.0.1:8899,127.0.0.1:8898,127.0.0.1:8897
# for ConfigAuthenticator mode
#auth.admin_token=
#auth.user_tokens=[]
# rpc group configs of multi graph servers
# rpc server configs
rpc.server_host=172.30.15.101
rpc.server_port=8090
#rpc.server_timeout=30
# rpc client configs (like enable to keep cache consistency)
rpc.remote_url=172.30.15.101:8090,172.30.15.102:8090,172.30.15.103:8090
#rpc.client_connect_timeout=20
#rpc.client_reconnect_period=10
#rpc.client_read_timeout=40
#rpc.client_retries=3
#rpc.client_load_balancer=consistentHash
# lightweight load balancing (beta)
server.id=server-1
server.role=master
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[GitHub] [incubator-hugegraph] github-actions[bot] commented on issue #1925: raft+rocksdb可以实现扩容吗
Posted by GitBox <gi...@apache.org>.
github-actions[bot] commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-1199943903
Due to the lack of activity, the current issue is marked as stale and will be closed after 20 days, any update will remove the stale label
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[GitHub] [incubator-hugegraph] simon824 commented on issue #1925: raft+rocksdb可以实现扩容吗
Posted by GitBox <gi...@apache.org>.
simon824 commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-1182694026
@2867021781 HBase 正常,可否分享一下 `rest-server.properties` 的配置?
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[GitHub] [incubator-hugegraph] 2867021781 commented on issue #1925: raft+rocksdb可以实现扩容吗
Posted by GitBox <gi...@apache.org>.
2867021781 commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-1184093955
# bind url
restserver.url=http://172.30.15.101:8081
# gremlin server url, need to be consistent with host and port in gremlin-server.yaml
gremlinserver.url=http://172.30.15.101:8182
graphs=./conf/graphs
# The maximum thread ratio for batch writing, only take effect if the batch.max_write_threads is 0
batch.max_write_ratio=80
batch.max_write_threads=0
# authentication configs
# choose 'com.baidu.hugegraph.auth.StandardAuthenticator' or 'com.baidu.hugegraph.auth.ConfigAuthenticator'
#auth.authenticator=
# for StandardAuthenticator mode
#auth.graph_store=hugegraph
# auth client config
#auth.remote_url=127.0.0.1:8899,127.0.0.1:8898,127.0.0.1:8897
# for ConfigAuthenticator mode
#auth.admin_token=
#auth.user_tokens=[]
# rpc group configs of multi graph servers
# rpc server configs
rpc.server_host=172.30.15.101
rpc.server_port=8090
#rpc.server_timeout=30
# rpc client configs (like enable to keep cache consistency)
rpc.remote_url=172.30.15.101:8090,172.30.15.102:8090,172.30.15.103:8090
#rpc.client_connect_timeout=20
#rpc.client_reconnect_period=10
#rpc.client_read_timeout=40
#rpc.client_retries=3
#rpc.client_load_balancer=consistentHash
# lightweight load balancing (beta)
server.id=server-1
server.role=master
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[GitHub] [incubator-hugegraph] imbajin commented on issue #1925: raft+rocksdb可以实现扩容吗
Posted by GitBox <gi...@apache.org>.
imbajin commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-1183241915
> > 如果使用hbase后端搭建集群,也需要启用rpc族配置项,具体配置可参考:[#1760 (comment)](https://github.com/apache/incubator-hugegraph/issues/1760#issuecomment-1042863992)
>
> 关于 hbase 后端 + 多 hg-server 的部署方式我也有个疑问,在 server-1 创建的图,server-2 无法查询到,需要在 server-2 也创建该图后才能查询到,这是正常的吗还是bug?
我理解应该是不会需要重新初始化的, 因为信息存在 hbase 里在, 包括是否需要初始化的 meta 信息, 多个 server 链接的应该也是同一个 hbase 节点才对, 可以看看具体提示需要初始化访问的 target 是否符合预期?
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Re: [I] raft+rocksdb可以实现扩容吗 [incubator-hugegraph]
Posted by "chenhong1990 (via GitHub)" <gi...@apache.org>.
chenhong1990 commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-2041808253
> @xudaddd 目前社区版仅支持基于rocksdb的raft复制模式,还未支持基于rocksdb的分片模式,预计下个社区版会支持的。不过hg支持shared-storage架构方式(比如使用cassandra、hbase、mysql、pgsql等存储后端),可以在存储层横向扩容。
我这边使用了rocksdb+raff,在默认图里面操作属性都可以同步到其他节点,但是创建图的时候无法同步到其他节点,是什么原因导致的?
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[GitHub] [incubator-hugegraph] javeme commented on issue #1925: raft+rocksdb可以实现扩容吗
Posted by GitBox <gi...@apache.org>.
javeme commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-1325088406
@xudaddd 目前社区版仅支持基于rocksdb的raft复制模式,还未支持基于rocksdb的分片模式,预计下个社区版会支持的。不过hg支持shared-storage架构方式(比如使用cassandra、hbase、mysql、pgsql等存储后端),可以在存储层横向扩容。
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[GitHub] [incubator-hugegraph] 2867021781 commented on issue #1925: raft+rocksdb可以实现扩容吗
Posted by GitBox <gi...@apache.org>.
2867021781 commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-1182672111
> 我这边可以查到的啊,应该是部署的有问题,hbase集群正常吗
可以用hbase shell看一下
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[GitHub] [incubator-hugegraph] 2867021781 commented on issue #1925: raft+rocksdb可以实现扩容吗
Posted by GitBox <gi...@apache.org>.
2867021781 commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-1184086255
> @2867021781 HBase 正常,可否分享一下 `rest-server.properties` 的配置?
> @2867021781 HBase 正常,可否分享一下 `rest-server.properties` 的配置?
`# bind url
restserver.url=http://172.30.15.101:8081
# gremlin server url, need to be consistent with host and port in gremlin-server.yaml
gremlinserver.url=http://172.30.15.101:8182
graphs=./conf/graphs
# The maximum thread ratio for batch writing, only take effect if the batch.max_write_threads is 0
batch.max_write_ratio=80
batch.max_write_threads=0
# authentication configs
# choose 'com.baidu.hugegraph.auth.StandardAuthenticator' or 'com.baidu.hugegraph.auth.ConfigAuthenticator'
#auth.authenticator=
# for StandardAuthenticator mode
#auth.graph_store=hugegraph
# auth client config
#auth.remote_url=127.0.0.1:8899,127.0.0.1:8898,127.0.0.1:8897
# for ConfigAuthenticator mode
#auth.admin_token=
#auth.user_tokens=[]
# rpc group configs of multi graph servers
# rpc server configs
rpc.server_host=172.30.15.101
rpc.server_port=8090
#rpc.server_timeout=30
# rpc client configs (like enable to keep cache consistency)
rpc.remote_url=172.30.15.101:8090,172.30.15.102:8090,172.30.15.103:8090
#rpc.client_connect_timeout=20
#rpc.client_reconnect_period=10
#rpc.client_read_timeout=40
#rpc.client_retries=3
#rpc.client_load_balancer=consistentHash
# lightweight load balancing (beta)
server.id=server-1
server.role=master`
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Re: [I] raft+rocksdb可以实现扩容吗 [incubator-hugegraph]
Posted by "z7658329 (via GitHub)" <gi...@apache.org>.
z7658329 commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-2042255888
> > @xudaddd 目前社区版仅支持基于rocksdb的raft复制模式,还未支持基于rocksdb的分片模式,预计下个社区版会支持的。不过hg支持shared-storage架构方式(比如使用cassandra、hbase、mysql、pgsql等存储后端),可以在存储层横向扩容。
>
> 我这边使用了rocksdb+raff,在默认图里面操作属性都可以同步到其他节点,但是创建图的时候无法同步到其他节点,是什么原因导致的?

@chenhong1990 seems already answered
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[GitHub] [incubator-hugegraph] imbajin commented on issue #1925: raft+rocksdb可以实现扩容吗
Posted by GitBox <gi...@apache.org>.
imbajin commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-1177774880
感觉你使用 hbase 这里应该有些问题吧. 抛开缓存的一致性, hbase 本身分布式结构没啥问题, 也可以动态扩缩容, 实时数据/多副本备份.
可以细化一下你 hbase 的使用具体细节么? 包括说的 master 增加属性是啥意思,
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[GitHub] [incubator-hugegraph] 2867021781 commented on issue #1925: raft+rocksdb可以实现扩容吗
Posted by GitBox <gi...@apache.org>.
2867021781 commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-1179998499
> 如果使用hbase后端搭建集群,也需要启用rpc族配置项,具体配置可参考:[#1760 (comment)](https://github.com/apache/incubator-hugegraph/issues/1760#issuecomment-1042863992)
好的感谢,我先试试,稍后回复结果
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[GitHub] [incubator-hugegraph] 2867021781 commented on issue #1925: raft+rocksdb可以实现扩容吗
Posted by GitBox <gi...@apache.org>.
2867021781 commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-1179908647
> 感觉你使用 hbase 这里应该有什么问题吧。开源问题的开放式一致性,数据库问题的开放式架构也没有任何新容量,可以扩展动态,实时数据/多副本备份。
>
> 可以细化一下你hbase的使用具体细节么?包括说的主增加属性的什么英文,
是这样的,我在使用hugegrpah搭建集群,后端存储用的是hbase,也要集群化部署,hbase搭建成功后用hugegraph连接,master是主节点(集群的leader),在master上增加hugegraph的属性字段,其他两台机器(worker)没有看到这个新增的字段,用rocksdb可以看到,网上说的是rocksdb支持的全备份,用这种第三方数据源后,有很多缓存在hugegraph中,存在缓存不一致,所以导致这种情况,可以怎么去解决呢
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[GitHub] [incubator-hugegraph] github-actions[bot] closed issue #1925: raft+rocksdb可以实现扩容吗
Posted by GitBox <gi...@apache.org>.
github-actions[bot] closed issue #1925: raft+rocksdb可以实现扩容吗
URL: https://github.com/apache/incubator-hugegraph/issues/1925
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[GitHub] [incubator-hugegraph] javeme commented on issue #1925: raft+rocksdb可以实现扩容吗
Posted by GitBox <gi...@apache.org>.
javeme commented on issue #1925:
URL: https://github.com/apache/incubator-hugegraph/issues/1925#issuecomment-1184071527
@simon824 目前仅支持对已创建图的多Server之间同步数据,动态创建图功能还未实现多Server同步,不过后续可以考虑增加[该特性](https://github.com/apache/incubator-hugegraph/issues/1930)。
> > 如果使用hbase后端搭建集群,也需要启用rpc族配置项,具体配置可参考:[#1760 (comment)](https://github.com/apache/incubator-hugegraph/issues/1760#issuecomment-1042863992)
>
> 关于 hbase 后端 + 多 hg-server 的部署方式我也有个疑问,在 server-1 创建的图,server-2 无法查询到,需要在 server-2 也创建该图后才能查询到,这是正常的吗还是bug?
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