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From Stuti Awasthi <stutiawas...@hcl.com>
Subject RE: Query Regarding design MR job for Billing
Date Tue, 28 Feb 2012 04:33:59 GMT
Hi Marcos, 

Thanks for the pointers. I am also thinking on the similar lines. 
I am doubtful at 1 point :

I will be having separate data files for every interval. Let's take example if I have 5 mins
interval file which contain data for 2 hours and 10 mins. In this scenario I want to process
2 hours data with hours job and 10 mins data with mins job. Now since I will provide my data
file as Input to MR jobs so I think original file needs to split in 2 files : HourFile and

MinsFile. HourFile wll contain data for 2 hours and MinsFile will conatin data for 10 mins.

I have attained file splitting with simple Java class but I think there is too much I/O operations
and if I can attain this also in MR or in some efficient way, it will be good because the
original data files can be huge and then the initial breaking of files will itself take too
much time.

Please suggest.

-----Original Message-----
From: Marcos Ortiz [mailto:mlortiz@uci.cu] 
Sent: Sunday, February 26, 2012 7:40 PM
To: mapreduce-user@hadoop.apache.org
Cc: Stuti Awasthi
Subject: Re: Query Regarding design MR job for Billing

Well, first, you can design 6 MR jobs:
1- for 5 mins interval
2- for 1 hour
3- for 1 day
4- for 1 month
5- for 1 year
6- and a last for any interval

If you say that for each interval, you have to do a different calculation; this way could
be a solution (at least I think that).
You can read the "design patterns" for MapReduce algorithms proposed by Jimmy Lin and Chris
Dyer on his "Data-Intensive Text Processing with MapReduce" book.


On 02/27/2012 05:39 AM, Stuti Awasthi wrote:
> No. The data will be either of 5 mins interval, or 1 hour interval or 1 day interval
and so on ....
> So suppose utilization is for 40 days then I will charge 30 days according to months
billing and remaining 10 days as days billing job.
> -----Original Message-----
> From: Rohit Kelkar [mailto:rohitkelkar@gmail.com]
> Sent: Monday, February 27, 2012 4:06 PM
> To: mapreduce-user@hadoop.apache.org
> Subject: Re: Query Regarding design MR job for Billing
> Just trying to understand your use case you need an hour job to run on 
> data between 6:40 AM and 7:40 AM. Would it be like a moving window? 
> For ex. run hour jobs on
> 6:41 AM to 7:41 AM
> 6:42 AM to 7:42 AM
> and so on...
> On Mon, Feb 27, 2012 at 1:01 PM, Stuti Awasthi<stutiawasthi@hcl.com>  wrote:
>> Hi all,
>> I have to implement BillingEngine using MR jobs. My usecase is like this:
>> I will be having data files of format<TimeStamp>  <Information for Billing>.
>> Now these datafiles will be containing timestamp either at minute interval, hour
inverval, day interval, month interval, year interval. Every type of interval will be having
different type of calculation for billing so basically different jobs for every type of interval.
>> Suppose I have a data file which contain minute interval timestamp. I have a scenario
that if data is present for hours , then it should be processed by hourly job and remaining
will be processed by minutejob.
>> Example :
>> 2/10/12 6:40 AM<data for billing>
>> 2/10/12 6:40 AM<data for billing>
>> .
>> 2/10/12 6:45 AM<data for billing>
>> 2/10/12 6:45 AM<data for billing>
>> .
>> .
>> 2/10/12 7:40 AM<data for billing>
>> 2/10/12 7:40 AM<data for billing>
>> .
>> .
>> 2/10/12 7:45 AM<data for billing>
>> 2/10/12 7:45 AM<data for billing>
>> .
>> Now I want data between 2/10/12 6:40 AM to 2/10/12 7:40 AM is processed by Hourjob
and 2/10/12 7:45 AM is processed by MinuteJob.
>> Please suggest how to design my MR to achieve this.
>> Thanks
>> Stuti
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Marcos Luis Ortíz Valmaseda
  Senior Software Engineer (UCI)
  Twitter: @marcosluis2186


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