Cluster Performance Tuning
Apache Hadoop 1.0
| Intermediate
- 13 Videos | 1h 17m 12s
- Includes Assessment
- Earns a Badge
Hadoop can scale up from single servers to thousands of machines, each offering local computation and storage. Examine tune up options, best practices for performance tuning, HDFS, YARN and MapReduce.
WHAT YOU WILL LEARN
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describe the configuration files and parameters used in performance tuning of HDFS
describe the sizing and balancing of the HDFS data blocks
describe the use of TestDFSIO
performance tune HDFS
describe the configuration files and parameters used in performance tuning of YARN
configure speculative execution
describe the configuration files and parameters used in performance tuning of MapReduce -
tune up MapReduce for performance reasons
describe the practice of benchmarking on a Hadoop cluster
describe the different tools used for benchmarking a cluster
perform a benchmark of a Hadoop cluster
describe the purpose of application modelling
optimize memory and benchmark a Hadoop cluster
IN THIS COURSE
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1.Examining Tune Up Options for HDFS3m 18sUP NEXT
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2.Examining HDFS Data Blocks4m 21s
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3.Testing Data Blocks2m 14s
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4.Performance Tuning HDFS11m 31s
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5.Examining Tune UP Options for YARN6m 40s
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6.Configure Speculative Execution2m 55s
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7.Examining MapReduce Tune Up Options3m 7s
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8.Performance Tuning MapReduce5m 5s
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9.Examining Benchmarking7m 42s
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10.Examining Best Practices for Benchmarking4m 29s
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11.Stress Testing and Benchmarking Hadoop Clusters11m 53s
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12.Examining Applications Modelling8m 33s
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13.Exercise: Tuning a Hadoop Cluster5m 26s
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