Tos*_*iko 6 apache-storm apache-zookeeper
我下面http://jayatiatblogs.blogspot.com/2011/11/storm-installation.html&http://zookeeper.apache.org/doc/r3.3.3/zookeeperAdmin.html#sc_zkMulitServerSetup设置Apache风暴在AWS EC2中的Ubuntu 14.04 LTS中的集群.
我的主节点是10.0.0.185.我的slave节点分别为10.0.0.79,10.0.0.124和10.0.0.84,其myid分别为1,2和3.我建立了一个由Apache Zookeeper组成的所有3个从属节点.
下面是我的slave.cfg我的slave节点:
tickTime=2000
initLimit=10
syncLimit=5
dataDir=/home/ubuntu/zookeeper-data
clientPort=2181
server.1=10.0.0.79:2888:3888
server.2=10.0.0.124:2888:3888
server.3=10.0.0.84:2888:3888
autopurge.snapRetainCount=3
autopurge.purgeInterval=1
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下面是我对我的slave节点的storm.yaml :
########### These MUST be filled in for a storm configuration
storm.zookeeper.server:
- "10.0.0.79"
- "10.0.0.124"
- "10.0.0.84"
# - "localhost"
storm.zookeeper.port: 2181
# nimbus.host: "localhost"
nimbus.host: "10.0.0.185"
storm.local.dir: "/home/ubuntu/storm/data"
java.library.path: "/usr/lib/jvm/java-7-oracle"
supervisor.slots.ports:
- 6700
- 6701
- 6702
- 6703
- 6704
#
# worker.childopts: "-Xmx768m"
# nimbus.childopts: "-Xmx512m"
# supervisor.childopts: "-Xmx256m"
#
# ##### These may optionally be filled in:
#
## List of custom serializations
# topology.kryo.register:
# - org.mycompany.MyType
# - org.mycompany.MyType2: org.mycompany.MyType2Serializer
#
## List of custom kryo decorators
# topology.kryo.decorators:
# - org.mycompany.MyDecorator
#
## Locations of the drpc servers
# drpc.servers:
# - "server1"
# - "server2"
## Metrics Consumers
# topology.metrics.consumer.register:
# - class: "backtype.storm.metric.LoggingMetricsConsumer"
# parallelism.hint: 1
# - class: "org.mycompany.MyMetricsConsumer"
# parallelism.hint: 1
# argument:
# - endpoint: "metrics-collector.mycompany.org"
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以下是我的主节点的storm.yaml :
########### These MUST be filled in for a storm configuration
storm.zookeeper.servers:
- "10.0.0.79"
- "10.0.0.124"
- "10.0.0.84"
# - "localhost"
#
storm.zookeeper.port: 2181
nimbus.host: "10.0.0.185"
# nimbus.thrift.port: 6627
# nimbus.task.launch.secs: 240
# supervisor.worker.start.timeout.secs: 240
# supervisor.worker.timeout.secs: 240
ui.port: 8772
# nimbus.childopts: "?Xmx1024m ?Djava.net.preferIPv4Stack=true"
# ui.childopts: "?Xmx768m ?Djava.net.preferIPv4Stack=true"
# supervisor.childopts: "?Djava.net.preferIPv4Stack=true"
# worker.childopts: "?Xmx768m ?Djava.net.preferIPv4Stack=true"
storm.local.dir: "/home/ubuntu/storm/data"
java.library.path: "/usr/lib/jvm/java-7-oracle"
# supervisor.slots.ports:
# - 6700
# - 6701
# - 6702
# - 6703
# - 6704
# worker.childopts: "-Xmx768m"
# nimbus.childopts: "-Xmx512m"
# supervisor.childopts: "-Xmx256m"
# ##### These may optionally be filled in:
#
## List of custom serializations
# topology.kryo.register:
# - org.mycompany.MyType
# - org.mycompany.MyType2: org.mycompany.MyType2Serializer
#
## List of custom kryo decorators
# topology.kryo.decorators:
# - org.mycompany.MyDecorator
#
## Locations of the drpc servers
# drpc.servers:
# - "server1"
# - "server2"
## Metrics Consumers
# topology.metrics.consumer.register:
# - class: "backtype.storm.metric.LoggingMetricsConsumer"
# parallelism.hint: 1
# - class: "org.mycompany.MyMetricsConsumer"
# parallelism.hint: 1
# argument:
# - endpoint: "metrics-collector.mycompany.org"
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我在所有从属节点中启动我的zookeeper,然后在我的主节点中启动我的风暴雨云,然后在所有从属节点中启动风暴监控器.但是,当我在我的Storm UI中查看时,在集群摘要中只有1个主管共有5个插槽,而在主管摘要中只有1个主管信息,为什么会这样?
如果我在这种情况下提交拓扑,实际有多少个从节点正在工作?
为什么不是3个总共15个插槽的主管?
我应该怎么办才能有3名主管?
当我检查从属节点中的supervisor.log时,原因如下:
2015-05-29T09:21:24.185+0000 b.s.d.supervisor [INFO] 5019754f-cae1-4000-beb4-fa0
16bd1a43d still hasn't started
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你做得很完美,也做得很好.
你唯一应该改变的是你的storm.dir.从站和主节点都是一样的,只是改变了storm.dirnimbus和supervisor节点中路径的路径(不要使用相同的本地路径).当您使用相同的本地路径时,nimbus和supervisor共享相同的id.他们发挥作用,但你没有看到8个插槽,他们只是向你展示4个插槽作为工人.
更改(storm.local.dir:/home/ubuntu/storm/data)并且不要在supervisor和nimbus中使用相同的路径.
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