MapReduce, mail # user - Info required regarding JobTracker Job Details/Metrics

Info required regarding JobTracker Job Details/Metrics

Gaurav Dasgupta 2012-08-23, 10:58

Hi Users,

I have run a wordount job on a Hadoop 0.20 cluster and the JobTracker Web
UI gave me the following information after the successful completion of the
job:

*Job Counters*
SLOTS_MILLIS_MAPS=5739
Total time spent by all reduces waiting after reserving slots (ms)=0
Total time spent by all maps waiting after reserving slots (ms)=0
Launched map tasks=2
SLOTS_MILLIS_REDUCES=0
**
*FileSystemCounters*
HDFS_BYTES_READ=158
FILE_BYTES_WRITTEN=97422
HDFS_BYTES_WRITTEN=10000
*Map-Reduce Framework*
Map input records=586006142
Reduce shuffle bytes=53567298
Spilled Records=108996063
Map output bytes=468042247685
CPU time spent (ms)=91162220
Total committed heap usage (bytes)=981605744640
Combine input records=32046224559
SPLIT_RAW_BYTES=382500
Reduce input records=96063
Reduce input groups=1000
Combine output records=108902950
Physical memory (bytes) snapshot=1147705057280
Reduce output records=1000
Virtual memory (bytes) snapshot=3221902118912
Map output records=31937417672

Can some one explain me all these above metrics? I mainly want to know the
"total shuffled bytes" of the jobs. Is is "Reduce shuffle bytes"? Also, how
can I calculate the "total shuffle time taken"?
Also, which of the above are the "Map Input Size", "Reduce Input Size" and
"Reduce Output Size"?
I also want to know what is the difference between "FILE_BYTES_WRITTEN and
HDFS_BYTES_WRITTEN. What is it writing outside HDFS which is bigger in size
than HDFS?

Regards,
Gaurav Dasgupta

Re: Info required regarding JobTracker Job Details/Metrics

Gaurav Dasgupta 2012-08-23, 11:24

Sorry, the correct outcomes are for the single wordcount job are:

12/08/23 04:31:22 INFO mapred.JobClient: Job complete: job_201208230144_0002
12/08/23 04:31:22 INFO mapred.JobClient: Counters: 26
12/08/23 04:31:22 INFO mapred.JobClient: Job Counters
12/08/23 04:31:22 INFO mapred.JobClient: Launched reduce tasks=64
12/08/23 04:31:22 INFO mapred.JobClient: SLOTS_MILLIS_MAPS=103718235
12/08/23 04:31:22 INFO mapred.JobClient: Total time spent by all
reduces waiting after reserving slots (ms)=0
12/08/23 04:31:22 INFO mapred.JobClient: Total time spent by all maps
waiting after reserving slots (ms)=0
12/08/23 04:31:22 INFO mapred.JobClient: Launched map tasks=3060
12/08/23 04:31:22 INFO mapred.JobClient: Data-local map tasks=3060
12/08/23 04:31:22 INFO mapred.JobClient: SLOTS_MILLIS_REDUCES=9208855
12/08/23 04:31:22 INFO mapred.JobClient: FileSystemCounters
12/08/23 04:31:22 INFO mapred.JobClient: FILE_BYTES_READ=58263069209
12/08/23 04:31:22 INFO mapred.JobClient: HDFS_BYTES_READ=394195953674
12/08/23 04:31:22 INFO mapred.JobClient: FILE_BYTES_WRITTEN=2046757548
12/08/23 04:31:22 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=28095
12/08/23 04:31:22 INFO mapred.JobClient: Map-Reduce Framework
12/08/23 04:31:22 INFO mapred.JobClient: Map input records=586006142
12/08/23 04:31:22 INFO mapred.JobClient: Reduce shuffle bytes=53567298
12/08/23 04:31:22 INFO mapred.JobClient: Spilled Records=108996063
12/08/23 04:31:22 INFO mapred.JobClient: Map output bytes=468042247685
12/08/23 04:31:22 INFO mapred.JobClient: CPU time spent (ms)=91162220
12/08/23 04:31:22 INFO mapred.JobClient: Total committed heap usage
(bytes)=981605744640
12/08/23 04:31:22 INFO mapred.JobClient: Combine input
records=32046224559
12/08/23 04:31:22 INFO mapred.JobClient: SPLIT_RAW_BYTES=382500
12/08/23 04:31:22 INFO mapred.JobClient: Reduce input records=96063
12/08/23 04:31:22 INFO mapred.JobClient: Reduce input groups=1000
12/08/23 04:31:22 INFO mapred.JobClient: Combine output
records=108902950
12/08/23 04:31:22 INFO mapred.JobClient: Physical memory (bytes)
snapshot=1147705057280
12/08/23 04:31:22 INFO mapred.JobClient: Reduce output records=1000
12/08/23 04:31:22 INFO mapred.JobClient: Virtual memory (bytes)
snapshot=3221902118912
12/08/23 04:31:22 INFO mapred.JobClient: Map output records=31937417672
Thanks,
Gaurav Dasgupta
On Thu, Aug 23, 2012 at 4:28 PM, Gaurav Dasgupta <[EMAIL PROTECTED]> wrote:

> Hi Users,
>
> I have run a wordount job on a Hadoop 0.20 cluster and the JobTracker Web
> UI gave me the following information after the successful completion of the
> job:
>
> *Job Counters*
> SLOTS_MILLIS_MAPS=5739
> Total time spent by all reduces waiting after reserving slots (ms)=0
> Total time spent by all maps waiting after reserving slots (ms)=0
> Launched map tasks=2
> SLOTS_MILLIS_REDUCES=0
> **
> *FileSystemCounters*
> HDFS_BYTES_READ=158
> FILE_BYTES_WRITTEN=97422
> HDFS_BYTES_WRITTEN=10000
> *Map-Reduce Framework*
> Map input records=586006142
> Reduce shuffle bytes=53567298
> Spilled Records=108996063
> Map output bytes=468042247685
> CPU time spent (ms)=91162220
> Total committed heap usage (bytes)=981605744640
> Combine input records=32046224559
> SPLIT_RAW_BYTES=382500
> Reduce input records=96063
> Reduce input groups=1000
> Combine output records=108902950
> Physical memory (bytes) snapshot=1147705057280
> Reduce output records=1000
> Virtual memory (bytes) snapshot=3221902118912
> Map output records=31937417672
>
> Can some one explain me all these above metrics? I mainly want to know the
> "total shuffled bytes" of the jobs. Is is "Reduce shuffle bytes"? Also, how
> can I calculate the "total shuffle time taken"?
> Also, which of the above are the "Map Input Size", "Reduce Input Size" and
> "Reduce Output Size"?
> I also want to know what is the difference between "FILE_BYTES_WRITTEN and
> HDFS_BYTES_WRITTEN. What is it writing outside HDFS which is bigger in size

Re: Info required regarding JobTracker Job Details/Metrics

Bejoy Ks 2012-08-23, 11:50

Hi Gaurav

If it is just a simple word count example.
Map input size = HDFS_BYTES_READ
Reduce Output Size = HDFS_BYTES_WRITTEN
Reduce Input Size should be Map output bytes

File Bytes Written is what the job is writing into local file system. AFAIK
it is map task's intermediate output written to LFS.
Regrads
Bejoy KS

On Thu, Aug 23, 2012 at 4:54 PM, Gaurav Dasgupta <[EMAIL PROTECTED]> wrote:

> Sorry, the correct outcomes are for the single wordcount job are:
>
> 12/08/23 04:31:22 INFO mapred.JobClient: Job complete:
> job_201208230144_0002
> 12/08/23 04:31:22 INFO mapred.JobClient: Counters: 26
> 12/08/23 04:31:22 INFO mapred.JobClient: Job Counters
> 12/08/23 04:31:22 INFO mapred.JobClient: Launched reduce tasks=64
> 12/08/23 04:31:22 INFO mapred.JobClient: SLOTS_MILLIS_MAPS=103718235
> 12/08/23 04:31:22 INFO mapred.JobClient: Total time spent by all
> reduces waiting after reserving slots (ms)=0
> 12/08/23 04:31:22 INFO mapred.JobClient: Total time spent by all maps
> waiting after reserving slots (ms)=0
> 12/08/23 04:31:22 INFO mapred.JobClient: Launched map tasks=3060
> 12/08/23 04:31:22 INFO mapred.JobClient: Data-local map tasks=3060
> 12/08/23 04:31:22 INFO mapred.JobClient: SLOTS_MILLIS_REDUCES=9208855
> 12/08/23 04:31:22 INFO mapred.JobClient: FileSystemCounters
> 12/08/23 04:31:22 INFO mapred.JobClient: FILE_BYTES_READ=58263069209
> 12/08/23 04:31:22 INFO mapred.JobClient: HDFS_BYTES_READ=394195953674
> 12/08/23 04:31:22 INFO mapred.JobClient: FILE_BYTES_WRITTEN=2046757548
> 12/08/23 04:31:22 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=28095
> 12/08/23 04:31:22 INFO mapred.JobClient: Map-Reduce Framework
> 12/08/23 04:31:22 INFO mapred.JobClient: Map input records=586006142
> 12/08/23 04:31:22 INFO mapred.JobClient: Reduce shuffle bytes=53567298
> 12/08/23 04:31:22 INFO mapred.JobClient: Spilled Records=108996063
> 12/08/23 04:31:22 INFO mapred.JobClient: Map output bytes=468042247685
> 12/08/23 04:31:22 INFO mapred.JobClient: CPU time spent (ms)=91162220
> 12/08/23 04:31:22 INFO mapred.JobClient: Total committed heap usage
> (bytes)=981605744640
> 12/08/23 04:31:22 INFO mapred.JobClient: Combine input
> records=32046224559
> 12/08/23 04:31:22 INFO mapred.JobClient: SPLIT_RAW_BYTES=382500
> 12/08/23 04:31:22 INFO mapred.JobClient: Reduce input records=96063
> 12/08/23 04:31:22 INFO mapred.JobClient: Reduce input groups=1000
> 12/08/23 04:31:22 INFO mapred.JobClient: Combine output
> records=108902950
> 12/08/23 04:31:22 INFO mapred.JobClient: Physical memory (bytes)
> snapshot=1147705057280
> 12/08/23 04:31:22 INFO mapred.JobClient: Reduce output records=1000
> 12/08/23 04:31:22 INFO mapred.JobClient: Virtual memory (bytes)
> snapshot=3221902118912
> 12/08/23 04:31:22 INFO mapred.JobClient: Map output records=31937417672
>
>
> Thanks,
> Gaurav Dasgupta
> On Thu, Aug 23, 2012 at 4:28 PM, Gaurav Dasgupta <[EMAIL PROTECTED]>wrote:
>
>> Hi Users,
>>
>> I have run a wordount job on a Hadoop 0.20 cluster and the JobTracker Web
>> UI gave me the following information after the successful completion of the
>> job:
>>
>> *Job Counters*
>> SLOTS_MILLIS_MAPS=5739
>> Total time spent by all reduces waiting after reserving slots (ms)=0
>> Total time spent by all maps waiting after reserving slots (ms)=0
>> Launched map tasks=2
>> SLOTS_MILLIS_REDUCES=0
>> **
>> *FileSystemCounters*
>> HDFS_BYTES_READ=158
>> FILE_BYTES_WRITTEN=97422
>> HDFS_BYTES_WRITTEN=10000
>> *Map-Reduce Framework*
>> Map input records=586006142
>> Reduce shuffle bytes=53567298
>> Spilled Records=108996063
>> Map output bytes=468042247685
>> CPU time spent (ms)=91162220
>> Total committed heap usage (bytes)=981605744640
>> Combine input records=32046224559
>> SPLIT_RAW_BYTES=382500
>> Reduce input records=96063
>> Reduce input groups=1000
>> Combine output records=108902950
>> Physical memory (bytes) snapshot=1147705057280
>> Reduce output records=1000

Re: Info required regarding JobTracker Job Details/Metrics

Sonal Goyal 2012-08-23, 11:56

Gaurav,

You can also refer to Tom White's Hadoop, The Definitive Guide, Chapter 8
which has a reference to each of the job counters. I believe the Apache
site also had a page detailing the counters, but I cant seem to locate it.

Best Regards,
Sonal
Crux: Reporting for HBase <https://github.com/sonalgoyal/crux>
Nube Technologies <http://www.nubetech.co>

<http://in.linkedin.com/in/sonalgoyal>

On Thu, Aug 23, 2012 at 5:20 PM, Bejoy Ks <[EMAIL PROTECTED]> wrote:

> Hi Gaurav
>
> If it is just a simple word count example.
> Map input size = HDFS_BYTES_READ
> Reduce Output Size = HDFS_BYTES_WRITTEN
> Reduce Input Size should be Map output bytes
>
> File Bytes Written is what the job is writing into local file system.
> AFAIK it is map task's intermediate output written to LFS.
>
>
> Regrads
> Bejoy KS
>
>
> On Thu, Aug 23, 2012 at 4:54 PM, Gaurav Dasgupta <[EMAIL PROTECTED]>wrote:
>
>> Sorry, the correct outcomes are for the single wordcount job are:
>>
>> 12/08/23 04:31:22 INFO mapred.JobClient: Job complete:
>> job_201208230144_0002
>> 12/08/23 04:31:22 INFO mapred.JobClient: Counters: 26
>> 12/08/23 04:31:22 INFO mapred.JobClient: Job Counters
>> 12/08/23 04:31:22 INFO mapred.JobClient: Launched reduce tasks=64
>> 12/08/23 04:31:22 INFO mapred.JobClient: SLOTS_MILLIS_MAPS=103718235
>> 12/08/23 04:31:22 INFO mapred.JobClient: Total time spent by all
>> reduces waiting after reserving slots (ms)=0
>> 12/08/23 04:31:22 INFO mapred.JobClient: Total time spent by all maps
>> waiting after reserving slots (ms)=0
>> 12/08/23 04:31:22 INFO mapred.JobClient: Launched map tasks=3060
>> 12/08/23 04:31:22 INFO mapred.JobClient: Data-local map tasks=3060
>> 12/08/23 04:31:22 INFO mapred.JobClient: SLOTS_MILLIS_REDUCES=9208855
>> 12/08/23 04:31:22 INFO mapred.JobClient: FileSystemCounters
>> 12/08/23 04:31:22 INFO mapred.JobClient: FILE_BYTES_READ=58263069209
>> 12/08/23 04:31:22 INFO mapred.JobClient: HDFS_BYTES_READ=394195953674
>> 12/08/23 04:31:22 INFO mapred.JobClient: FILE_BYTES_WRITTEN=2046757548
>> 12/08/23 04:31:22 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=28095
>> 12/08/23 04:31:22 INFO mapred.JobClient: Map-Reduce Framework
>> 12/08/23 04:31:22 INFO mapred.JobClient: Map input records=586006142
>> 12/08/23 04:31:22 INFO mapred.JobClient: Reduce shuffle bytes=53567298
>> 12/08/23 04:31:22 INFO mapred.JobClient: Spilled Records=108996063
>> 12/08/23 04:31:22 INFO mapred.JobClient: Map output bytes=468042247685
>> 12/08/23 04:31:22 INFO mapred.JobClient: CPU time spent (ms)=91162220
>> 12/08/23 04:31:22 INFO mapred.JobClient: Total committed heap usage
>> (bytes)=981605744640
>> 12/08/23 04:31:22 INFO mapred.JobClient: Combine input
>> records=32046224559
>> 12/08/23 04:31:22 INFO mapred.JobClient: SPLIT_RAW_BYTES=382500
>> 12/08/23 04:31:22 INFO mapred.JobClient: Reduce input records=96063
>> 12/08/23 04:31:22 INFO mapred.JobClient: Reduce input groups=1000
>> 12/08/23 04:31:22 INFO mapred.JobClient: Combine output
>> records=108902950
>> 12/08/23 04:31:22 INFO mapred.JobClient: Physical memory (bytes)
>> snapshot=1147705057280
>> 12/08/23 04:31:22 INFO mapred.JobClient: Reduce output records=1000
>> 12/08/23 04:31:22 INFO mapred.JobClient: Virtual memory (bytes)
>> snapshot=3221902118912
>> 12/08/23 04:31:22 INFO mapred.JobClient: Map output
>> records=31937417672
>>
>>
>> Thanks,
>> Gaurav Dasgupta
>> On Thu, Aug 23, 2012 at 4:28 PM, Gaurav Dasgupta <[EMAIL PROTECTED]>wrote:
>>
>>> Hi Users,
>>>
>>> I have run a wordount job on a Hadoop 0.20 cluster and the JobTracker
>>> Web UI gave me the following information after the successful completion of
>>> the job:
>>>
>>> *Job Counters*
>>> SLOTS_MILLIS_MAPS=5739
>>> Total time spent by all reduces waiting after reserving slots (ms)=0
>>> Total time spent by all maps waiting after reserving slots (ms)=0
>>> Launched map tasks=2
>>> SLOTS_MILLIS_REDUCES=0
>>> **
>

Re: Info required regarding JobTracker Job Details/Metrics

Gaurav Dasgupta 2012-08-23, 12:06

Hi,

Thanks for your replies.
Any idea how do I calculate the "total shuffle time"?
I can get and calculate the total time taken by all the Mappers and all the
Reducers separatey, but the intermediate shuffle/sort time is absent. Any
clue?

Thanks,
Gaurav Dasgupta
On Thu, Aug 23, 2012 at 5:26 PM, Sonal Goyal <[EMAIL PROTECTED]> wrote:

> Gaurav,
>
> You can also refer to Tom White's Hadoop, The Definitive Guide, Chapter 8
> which has a reference to each of the job counters. I believe the Apache
> site also had a page detailing the counters, but I cant seem to locate it.
>
> Best Regards,
> Sonal
> Crux: Reporting for HBase <https://github.com/sonalgoyal/crux>
> Nube Technologies <http://www.nubetech.co/>
>
> <http://in.linkedin.com/in/sonalgoyal>
>
>
>
>
>
>
> On Thu, Aug 23, 2012 at 5:20 PM, Bejoy Ks <[EMAIL PROTECTED]> wrote:
>
>> Hi Gaurav
>>
>> If it is just a simple word count example.
>> Map input size = HDFS_BYTES_READ
>> Reduce Output Size = HDFS_BYTES_WRITTEN
>> Reduce Input Size should be Map output bytes
>>
>> File Bytes Written is what the job is writing into local file system.
>> AFAIK it is map task's intermediate output written to LFS.
>>
>>
>> Regrads
>> Bejoy KS
>>
>>
>> On Thu, Aug 23, 2012 at 4:54 PM, Gaurav Dasgupta <[EMAIL PROTECTED]>wrote:
>>
>>> Sorry, the correct outcomes are for the single wordcount job are:
>>>
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Job complete:
>>> job_201208230144_0002
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Counters: 26
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Job Counters
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Launched reduce tasks=64
>>> 12/08/23 04:31:22 INFO mapred.JobClient: SLOTS_MILLIS_MAPS=103718235
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Total time spent by all
>>> reduces waiting after reserving slots (ms)=0
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Total time spent by all
>>> maps waiting after reserving slots (ms)=0
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Launched map tasks=3060
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Data-local map tasks=3060
>>> 12/08/23 04:31:22 INFO mapred.JobClient: SLOTS_MILLIS_REDUCES=9208855
>>> 12/08/23 04:31:22 INFO mapred.JobClient: FileSystemCounters
>>> 12/08/23 04:31:22 INFO mapred.JobClient: FILE_BYTES_READ=58263069209
>>> 12/08/23 04:31:22 INFO mapred.JobClient: HDFS_BYTES_READ=394195953674
>>> 12/08/23 04:31:22 INFO mapred.JobClient:
>>> FILE_BYTES_WRITTEN=2046757548
>>> 12/08/23 04:31:22 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=28095
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Map-Reduce Framework
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Map input records=586006142
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Reduce shuffle
>>> bytes=53567298
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Spilled Records=108996063
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Map output
>>> bytes=468042247685
>>> 12/08/23 04:31:22 INFO mapred.JobClient: CPU time spent (ms)=91162220
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Total committed heap usage
>>> (bytes)=981605744640
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Combine input
>>> records=32046224559
>>> 12/08/23 04:31:22 INFO mapred.JobClient: SPLIT_RAW_BYTES=382500
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Reduce input records=96063
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Reduce input groups=1000
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Combine output
>>> records=108902950
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Physical memory (bytes)
>>> snapshot=1147705057280
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Reduce output records=1000
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Virtual memory (bytes)
>>> snapshot=3221902118912
>>> 12/08/23 04:31:22 INFO mapred.JobClient: Map output
>>> records=31937417672
>>>
>>>
>>> Thanks,
>>> Gaurav Dasgupta
>>> On Thu, Aug 23, 2012 at 4:28 PM, Gaurav Dasgupta <[EMAIL PROTECTED]

Re: Info required regarding JobTracker Job Details/Metrics

Sonal Goyal 2012-08-23, 13:20

Dont the completed job metrics in the job tracker/or bin/hadoop job
-history provide you the information you seek?

Best Regards,
Sonal
Crux: Reporting for HBase <https://github.com/sonalgoyal/crux>
Nube Technologies <http://www.nubetech.co>

<http://in.linkedin.com/in/sonalgoyal>

On Thu, Aug 23, 2012 at 5:36 PM, Gaurav Dasgupta <[EMAIL PROTECTED]> wrote:

> Hi,
>
> Thanks for your replies.
> Any idea how do I calculate the "total shuffle time"?
> I can get and calculate the total time taken by all the Mappers and all
> the Reducers separatey, but the intermediate shuffle/sort time is absent.
> Any clue?
>
> Thanks,
> Gaurav Dasgupta
>
>
> On Thu, Aug 23, 2012 at 5:26 PM, Sonal Goyal <[EMAIL PROTECTED]>wrote:
>
>> Gaurav,
>>
>> You can also refer to Tom White's Hadoop, The Definitive Guide, Chapter 8
>> which has a reference to each of the job counters. I believe the Apache
>> site also had a page detailing the counters, but I cant seem to locate it.
>>
>> Best Regards,
>> Sonal
>> Crux: Reporting for HBase <https://github.com/sonalgoyal/crux>
>> Nube Technologies <http://www.nubetech.co/>
>>
>> <http://in.linkedin.com/in/sonalgoyal>
>>
>>
>>
>>
>>
>>
>> On Thu, Aug 23, 2012 at 5:20 PM, Bejoy Ks <[EMAIL PROTECTED]> wrote:
>>
>>> Hi Gaurav
>>>
>>> If it is just a simple word count example.
>>> Map input size = HDFS_BYTES_READ
>>> Reduce Output Size = HDFS_BYTES_WRITTEN
>>> Reduce Input Size should be Map output bytes
>>>
>>> File Bytes Written is what the job is writing into local file system.
>>> AFAIK it is map task's intermediate output written to LFS.
>>>
>>>
>>> Regrads
>>> Bejoy KS
>>>
>>>
>>> On Thu, Aug 23, 2012 at 4:54 PM, Gaurav Dasgupta <[EMAIL PROTECTED]>wrote:
>>>
>>>> Sorry, the correct outcomes are for the single wordcount job are:
>>>>
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: Job complete:
>>>> job_201208230144_0002
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: Counters: 26
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: Job Counters
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: Launched reduce tasks=64
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: SLOTS_MILLIS_MAPS=103718235
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: Total time spent by all
>>>> reduces waiting after reserving slots (ms)=0
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: Total time spent by all
>>>> maps waiting after reserving slots (ms)=0
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: Launched map tasks=3060
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: Data-local map tasks=3060
>>>> 12/08/23 04:31:22 INFO mapred.JobClient:
>>>> SLOTS_MILLIS_REDUCES=9208855
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: FileSystemCounters
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: FILE_BYTES_READ=58263069209
>>>> 12/08/23 04:31:22 INFO mapred.JobClient:
>>>> HDFS_BYTES_READ=394195953674
>>>> 12/08/23 04:31:22 INFO mapred.JobClient:
>>>> FILE_BYTES_WRITTEN=2046757548
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=28095
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: Map-Reduce Framework
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: Map input records=586006142
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: Reduce shuffle
>>>> bytes=53567298
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: Spilled Records=108996063
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: Map output
>>>> bytes=468042247685
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: CPU time spent
>>>> (ms)=91162220
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: Total committed heap usage
>>>> (bytes)=981605744640
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: Combine input
>>>> records=32046224559
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: SPLIT_RAW_BYTES=382500
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: Reduce input records=96063
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: Reduce input groups=1000
>>>> 12/08/23 04:31:22 INFO mapred.JobClient: Combine output
>>>> records=108902950
>>>