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Posted to issues@storm.apache.org by "Yuzhao Chen (JIRA)" <ji...@apache.org> on 2017/08/17 08:31:00 UTC

[jira] [Created] (STORM-2693) Topology submission or kill takes too much time when topologies grow to a few hundred

Yuzhao Chen created STORM-2693:
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             Summary: Topology submission or kill takes too much time when topologies grow to a few hundred
                 Key: STORM-2693
                 URL: https://issues.apache.org/jira/browse/STORM-2693
             Project: Apache Storm
          Issue Type: Improvement
          Components: storm-core
    Affects Versions: 0.9.6, 1.0.2, 1.1.0, 1.0.3
            Reporter: Yuzhao Chen
             Fix For: 1.1.0
         Attachments: 2FA30CD8-AF15-4352-992D-A67BD724E7FB.png, D4A30D40-25D5-4ACF-9A96-252EBA9E6EF6.png

Now for a storm cluster with 40 hosts [with 32 cores and 128G mem] and hundreds of topologies, nimbus submission and killing will take about minutes to finish. For example, for a cluster with 300 hundred of topologies,it will take about 8 minutes to submit a topology, this affect our efficiency be seriously.

So, i check out the nimbus code and find two factor that will effect nimbus submission/killing time for a scheduling round:
* read existing-assignments from zookeeper for every topology [will take about 4 seconds for a 300 topologies cluster]
* read all the workers heartbeats and update the state to nimbus cache [will take about 30 seconds for a 300 topologies cluster]
the key here is that Storm now use zookeeper to aware heartbeats [not RPC], and also keep physical plan [assignments] to zookeeper.

So, i think we should make some change to storm's heartbeats and assignments management.

For assignment promotion:
1. nimbus will put the assignments in memory also           cache a copy to local disk
2. when restart or HA leader trigger nimbus will                 recover assignments from disk
3. nimbus will tell supervisor its assignment every time     scheduling
4. supervisor will sync assignments at fixed time


For heartbeats promotion:
1. workers will report executors ok or wrong to supervisor at fixed time
2. supervisor will report workers heartbeats to nimbus at fixed time
3. if supervisor die, it will tell nimbus through runtime hook
    or let nimbus find it through aware supervisor if survive 
4. let supervisor decide if worker is running ok or invalid , supervisor will tell nimbus which executors of every topology are ok




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