Details
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Type: Monitor
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Status: Closed
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Priority: Major
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Resolution: Done
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Affects Version/s: None
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Fix Version/s: 2021
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Component/s: FIWARE-TECH-HELP
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Labels:
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HD-Chapter:Data
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HD-Enabler:Cosmos
Description
Created question in FIWARE Q/A platform on 03-03-2015 at 17:03
Please, ANSWER this question AT https://stackoverflow.com/questions/28837355/fiware-cosmos-mapreduce
Question:
Fiware-Cosmos MapReduce
Description:
I have a Question regarding the MapReduce example explained here:
It is indeed the most common example of hadoop MapReduce, the WordCount.
I am able to execute it with no problems at the global instance of Cosmos, but even when I give it an small input (a file with 2 or 3 lines) it takes a lot to execute it (half a minute more or less). I assume this is its normal behavior but my question is: ¿Why does it takes so long even for an small input?
I guess this method increases its efectiveness with bigger datasets where this minimal delay is negligible.
Activity
Field | Original Value | New Value |
---|---|---|
Component/s | FIWARE-TECH-HELP [ 10278 ] |
Status | Open [ 1 ] | In Progress [ 3 ] |
Status | In Progress [ 3 ] | Answered [ 10104 ] |
Assignee | Francisco Romero [ frb ] |
HD-Enabler | Cosmos [ 10872 ] | |
Description |
Created question in FIWARE Q/A platform on 03-03-2015 at 17:03 {color: red}Please, ANSWER this question AT{color} https://stackoverflow.com/questions/28837355/fiware-cosmos-mapreduce +Question:+ Fiware-Cosmos MapReduce +Description:+ I have a Question regarding the MapReduce example explained here: http://forge.fiware.org/plugins/mediawiki/wiki/fiware/index.php/BigData_Analysis_-_Quick_Start_for_Programmers It is indeed the most common example of hadoop MapReduce, the WordCount. I am able to execute it with no problems at the global instance of Cosmos, but even when I give it an small input (a file with 2 or 3 lines) it takes a lot to execute it (half a minute more or less). I assume this is its normal behavior but my question is: ¿Why does it takes so long even for an small input? I guess this method increases its efectiveness with bigger datasets where this minimal delay is negligible. |
Created question in FIWARE Q/A platform on 03-03-2015 at 17:03
{color: red}Please, ANSWER this question AT{color} https://stackoverflow.com/questions/28837355/fiware-cosmos-mapreduce +Question:+ Fiware-Cosmos MapReduce +Description:+ I have a Question regarding the MapReduce example explained here: http://forge.fiware.org/plugins/mediawiki/wiki/fiware/index.php/BigData_Analysis_-_Quick_Start_for_Programmers It is indeed the most common example of hadoop MapReduce, the WordCount. I am able to execute it with no problems at the global instance of Cosmos, but even when I give it an small input (a file with 2 or 3 lines) it takes a lot to execute it (half a minute more or less). I assume this is its normal behavior but my question is: ¿Why does it takes so long even for an small input? I guess this method increases its efectiveness with bigger datasets where this minimal delay is negligible. |
HD-Chapter | Data [ 10838 ] |
Resolution | Done [ 10000 ] | |
Status | Answered [ 10104 ] | Closed [ 6 ] |
Fix Version/s | 2021 [ 12600 ] |