Capacity Management
Apache Hadoop 1.0
| Intermediate, expert
- 16 Videos | 1h 38m 43s
- Includes Assessment
- Earns a Badge
Apache Hadoop is an open-source software framework for storage and large-scale processing of datasets on clusters of commodity hardware. Explore resource management through scheduling, the Fair Scheduler tool, and how to plan for scaling.
WHAT YOU WILL LEARN
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recall how to set the maximum and minimum memory allocations per containerdescribe how the fair scheduling method allows all applications to get equal amounts of resource timedescribe the primary algorithm and the configuration files for the fair schedulerdescribe the default behavior of the fair scheduler methodsmonitor the behavior of Fair Sharedescribe the policy for single resource fairnessdescribe how resources are distributed over the total capacityidentify different configuration options for single resource fairness
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configure single resource fairnessdescribe the minimum share function of the fair schedulerconfigure minimum share on the fair schedulerdescribe the preemption functions of the fair schedulerconfigure preemption for the fair schedulerdescribe dominant resource fairnesswrite service levels for performanceuse the fail scheduler with multiple users
IN THIS COURSE
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1.Examining MRv25m 44sUP NEXT
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2.Exploring Fair Schedulers6m 18s
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3.Examining Fair Scheduler Algorithms5m 35s
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4.Examining Scheduler Behaviors8m 17s
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5.Monitoring Fair Share11m 24s
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6.Examining Single Resource Fairness6m 26s
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7.Balancing Resources4m 48s
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8.Examining Single Resource Fairness Configurations4m 40s
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9.Configuring Single Resource Fairness7m 45s
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10.Examining Minimum Resources6m 21s
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11.Configuring Minimum Resources5m 24s
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12.Examining Pre-emption7m 14s
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13.Configuring Preemption5m 14s
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14.Examining Dominant Resource Fairness3m 7s
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15.Writing Service Levels4m 58s
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16.Exercise: Using the Fair Scheduler5m 28s
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