Package org.apache.hadoop.hbase.chaos.policies

Examples of org.apache.hadoop.hbase.chaos.policies.PeriodicRandomActionPolicy

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    Action[] actions4 = new Action[] {
        new DumpClusterStatusAction()
    };

    return new PolicyBasedChaosMonkey(util,
        new PeriodicRandomActionPolicy(60 * 1000, actions1),
        new PeriodicRandomActionPolicy(90 * 1000, actions2),
        new CompositeSequentialPolicy(
            new DoActionsOncePolicy(150 * 1000, actions3),
            new PeriodicRandomActionPolicy(150 * 1000, actions3)),
        new PeriodicRandomActionPolicy(90 * 1000, actions4));
  }
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    Action[] actions4 = new Action[] {
        new DumpClusterStatusAction()
    };

    return new PolicyBasedChaosMonkey(util,
        new PeriodicRandomActionPolicy(60 * 1000, actions1),
        new PeriodicRandomActionPolicy(90 * 1000, actions2),
        new CompositeSequentialPolicy(
            new DoActionsOncePolicy(150 * 1000, actions3),
            new PeriodicRandomActionPolicy(150 * 1000, actions3)),
        new PeriodicRandomActionPolicy(90 * 1000, actions4));
  }
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        new RollingBatchRestartRsAction(5000, 1.0f),
        new RestartRsHoldingMetaAction(35000)
    };

    return new PolicyBasedChaosMonkey(util,
        new PeriodicRandomActionPolicy(60 * 1000, actions1),
        new PeriodicRandomActionPolicy(90 * 1000, actions2),
        new CompositeSequentialPolicy(
            new DoActionsOncePolicy(150 * 1000, actions3),
            new PeriodicRandomActionPolicy(150 * 1000, actions3)));
  }
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    util.initializeCluster(clusterSize);
  }

  @Override
  public void setUpMonkey() throws Exception {
    Policy p = new PeriodicRandomActionPolicy(sleepTime,
      new RestartRsHoldingTableAction(sleepTime, tableName.getNameAsString()),
      new MoveRandomRegionOfTableAction(tableName));
    this.monkey = new PolicyBasedChaosMonkey(util, p);
    // don't start monkey right away
  }
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    };

    return new PolicyBasedChaosMonkey(util,
      new CompositeSequentialPolicy(
          new DoActionsOncePolicy(60 * 1000, actions1),
          new PeriodicRandomActionPolicy(60 * 1000, actions1)),
      new PeriodicRandomActionPolicy(60 * 1000, actions2));
  }
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    Action[] actions4 = new Action[] {
        new DumpClusterStatusAction()
    };

    return new PolicyBasedChaosMonkey(util,
        new PeriodicRandomActionPolicy(action1Period, actions1),
        new PeriodicRandomActionPolicy(action2Period, actions2),
        new CompositeSequentialPolicy(
            new DoActionsOncePolicy(action3Period, actions3),
            new PeriodicRandomActionPolicy(action3Period, actions3)),
        new PeriodicRandomActionPolicy(action4Period, actions4));
  }
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  private long waitAfterBalanceMilliSec;

  @Override
  public ChaosMonkey build() {
    loadProperties();
    Policy chaosPolicy = new PeriodicRandomActionPolicy(chaosEveryMilliSec,
        new UnbalanceKillAndRebalanceAction(waitForUnbalanceMilliSec, waitForKillMilliSec,
            waitAfterBalanceMilliSec));

    return new PolicyBasedChaosMonkey(util, chaosPolicy);
  }
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    Action[] actions4 = new Action[] {
        new DumpClusterStatusAction()
    };

    return new PolicyBasedChaosMonkey(util,
        new PeriodicRandomActionPolicy(action1Period, actions1),
        new PeriodicRandomActionPolicy(action2Period, actions2),
        new CompositeSequentialPolicy(
            new DoActionsOncePolicy(action3Period, actions3),
            new PeriodicRandomActionPolicy(action3Period, actions3)),
        new PeriodicRandomActionPolicy(action4Period, actions4));
  }
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    Action[] actions3 = new Action[] {
        new DumpClusterStatusAction()
    };

    return new PolicyBasedChaosMonkey(util,
        new PeriodicRandomActionPolicy(90 * 1000, actions1),
        new CompositeSequentialPolicy(
            new DoActionsOncePolicy(90 * 1000, actions2),
            new PeriodicRandomActionPolicy(90 * 1000, actions2)),
        new PeriodicRandomActionPolicy(90 * 1000, actions3)
    );
  }
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        new DumpClusterStatusAction()
    };

    return new PolicyBasedChaosMonkey(util,
        new TwoConcurrentActionPolicy(MonkeyConstants.DEFAULT_PERIODIC_ACTION1_PERIOD, actions1, actions2),
        new PeriodicRandomActionPolicy(MonkeyConstants.DEFAULT_PERIODIC_ACTION2_PERIOD,actions3),
        new PeriodicRandomActionPolicy(MonkeyConstants.DEFAULT_PERIODIC_ACTION4_PERIOD,actions4));
  }
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Related Classes of org.apache.hadoop.hbase.chaos.policies.PeriodicRandomActionPolicy

  • org.apache.hadoop.hbase.chaos.actions.Action
  • org.apache.hadoop.hbase.chaos.factories.NoKillMonkeyFactory
  • org.apache.hadoop.hbase.chaos.factories.ServerKillingMonkeyFactory
  • org.apache.hadoop.hbase.chaos.factories.SlowDeterministicMonkeyFactory
  • org.apache.hadoop.hbase.chaos.factories.StressAssignmentManagerMonkeyFactory
  • org.apache.hadoop.hbase.chaos.factories.UnbalanceMonkeyFactory
  • org.apache.hadoop.hbase.IntegrationTestRegionReplicaPerf
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