mirror of https://github.com/k3s-io/k3s
add workers to README
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@ -97,6 +97,53 @@ $ sudo docker run -it -w /opt/apache-storm mattf/storm-base sh -c '/configure.sh
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No topologies running.
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```
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## Step Three: Start your Storm workers
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The Storm workers (or supervisors) do the heavy lifting in a Storm
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cluster. They run your stream processing topologies and are managed by
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the Nimbus service.
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The Storm workers need both the ZooKeeper and Nimbus services to be
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running.
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Use the `examples/storm/storm-worker-controller.json` file to create a
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ReplicationController that manages the worker pods.
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```shell
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$ kubectl create -f examples/storm/storm-worker-controller.json
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```
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### Check to see if the workers are running
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One way to check on the workers is to get information from the
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ZooKeeper service about how many clients it has.
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```shell
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$ echo stat | nc 10.254.139.141 2181; echo
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Zookeeper version: 3.4.6--1, built on 10/23/2014 14:18 GMT
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Clients:
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/192.168.48.0:44187[0](queued=0,recved=1,sent=0)
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/192.168.45.0:39568[1](queued=0,recved=14072,sent=14072)
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/192.168.86.1:57591[1](queued=0,recved=34,sent=34)
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/192.168.8.0:50375[1](queued=0,recved=34,sent=34)
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/192.168.45.0:39576[1](queued=0,recved=34,sent=34)
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Latency min/avg/max: 0/2/2570
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Received: 23199
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Sent: 23198
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Connections: 5
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Outstanding: 0
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Zxid: 0xa39
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Mode: standalone
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Node count: 13
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```
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There should be one client from the Nimbus service and one per
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worker. Ideally, you should get ```stat``` output from ZooKeeper
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before and after creating the ReplicationController.
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(Pull requests welcome for alternative ways to validate the workers)
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## tl;dr
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```kubectl create -f zookeeper.json```
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