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 HDFSdescribe the sizing and balancing of the HDFS data blocksdescribe the use of TestDFSIOperformance tune HDFSdescribe the configuration files and parameters used in performance tuning of YARNconfigure speculative executiondescribe the configuration files and parameters used in performance tuning of MapReduce
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tune up MapReduce for performance reasonsdescribe the practice of benchmarking on a Hadoop clusterdescribe the different tools used for benchmarking a clusterperform a benchmark of a Hadoop clusterdescribe the purpose of application modellingoptimize 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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