Dell PowerEdge C5220 Test Report - Page 5

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Dell PowerEdge C5220 Test Report
TEST RESULTS IN MORE DETAIL
Task
Number of records
Task 1
Task 2
Task 3
Task 4
Task 5
Task 6
Figure 3: The time spent for each job of the Hadoop MapReduce benchmark.
Task
Number of records
Task 1
Task 2
Task 3
Task 4
Task 5
Task 6
Figure 4: The time spent for each job of the Hadoop MapReduce benchmark.
CONCLUSION
Dell PowerEdge C5220: Hadoop MapReduce Performance
We used mrbench to create datasets containing varying numbers of records,
which each contained 6 bytes, for datasets varying in size from 96 bytes to 9,600,000
bytes. We tested two mrbench configurations; in the first, we applied 16 maps and one
reduction process to those input recordsets, and in the second, we applied 160 maps
and 16 reduction processes to those input recordsets.
Figure 4 shows the time in milliseconds the cluster took to complete each job
when we applied 16 maps and one reduction process to those input recordsets.
16
160
1,600
16,000
160,000
1,600,000
Figure 4 shows the time in milliseconds the cluster took to complete each job
when we applied 160 maps and 16 reduction processes to those input recordsets.
16
160
1,600
16,000
160,000
1,600,000
Companies that wish to process big data in scale-out environments require
powerful and dense hardware that complete large data processing tasks, such as
Hadoop analysis, quickly and efficiently. Selecting the right server for your underlying
hardware infrastructure is critical at hyperscale.
In our tests, an eight-node Dell PowerEdge C5220 Hadoop cluster was able to
efficiently process multiple MapReduce scenarios. While each scenario and each
environment vary, our eight-node Hadoop MapReduce test shows that even a small
number of Dell PowerEdge C5220 microservers can process varying amounts of data
quickly.
Total bytes
96
960
9,600
96,000
960,000
9,600,000
Total bytes
96
960
9,600
96,000
960,000
9,600,000
A Principled Technologies test report 5
Time to complete (milliseconds)
14,955
14,559
14,515
14,851
14,846
15,878
Time to complete (milliseconds)
22,374
22,057
22,496
21,648
22,122
25,594