crunch-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From David Ortiz <dpo5...@gmail.com>
Subject Re: Processing many map only collections in single pipeline with spark
Date Sat, 16 Jul 2016 21:36:40 GMT
Just out of curiosity, if you use mrpipeline does it fun on parallel?  If
so, issue may be in spark since I believe crunch leaves it to spark to
handle best method of execution.

On Sat, Jul 16, 2016, 4:29 PM Ben Juhn <benjijuhn@gmail.com> wrote:

> Hey David,
>
> I have 100 active executors, each job typically only uses a few.  It’s
> running on yarn.
>
> Thanks,
> Ben
>
> On Jul 16, 2016, at 12:53 PM, David Ortiz <dpo5003@gmail.com> wrote:
>
> What are the cluster resources available vs what a single map uses?
>
> On Sat, Jul 16, 2016, 3:04 PM Ben Juhn <benjijuhn@gmail.com> wrote:
>
>> I enabled FAIR scheduling hoping that would help but only one job is
>> showing up a time.
>>
>> Thanks,
>> Ben
>>
>> On Jul 15, 2016, at 8:17 PM, Ben Juhn <benjijuhn@gmail.com> wrote:
>>
>> Each input is of a different format, and the DoFn implementation handles
>> them depending on instantiation parameters.
>>
>> Thanks,
>> Ben
>>
>> On Jul 15, 2016, at 7:09 PM, Stephen Durfey <sjdurfey@gmail.com> wrote:
>>
>> Instead of using readTextFile on the pipeline, try using the read method
>> and use the TextFileSource, which can accept in a collection of paths.
>>
>>
>> https://github.com/apache/crunch/blob/master/crunch-core/src/main/java/org/apache/crunch/io/text/TextFileSource.java
>>
>>
>>
>>
>> On Fri, Jul 15, 2016 at 8:53 PM -0500, "Ben Juhn" <benjijuhn@gmail.com>
>> wrote:
>>
>> Hello,
>>>
>>> I have a job configured the following way:
>>>
>>> for (String path : paths) {
>>>     PCollection<String> col = pipeline.readTextFile(path);
>>>     col.parallelDo(new MyDoFn(path), Writables.strings()).write(To.textFile(“out/“
+ path), Target.WriteMode.APPEND);
>>> }
>>> pipeline.done();
>>>
>>> It results in one spark job for each path, and the jobs run in sequence even
though there are no dependencies.  Is it possible to have the jobs run in parallel?
>>>
>>> Thanks,
>>>
>>> Ben
>>>
>>>
>>>
>>
>>
>

Mime
View raw message