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From Jinal Shah <jinalshah2...@gmail.com>
Subject Re: Illegal State Exception when doing a union
Date Wed, 26 Feb 2014 16:37:51 GMT
As well as it is trying to run it in parallel so now it is failing on that.


On Wed, Feb 26, 2014 at 10:30 AM, Jinal Shah <jinalshah2007@gmail.com>wrote:

> I did as you said but now it is running the DoFn twice since after that
> parallel do I'm writing that output to HDFS so it divided that both work
> into 2 once while storing the output it is running it in the reduce phase
> and then while doing the union it is running it in the map phase.
>
>
> On Tue, Feb 25, 2014 at 7:41 PM, Josh Wills <jwills@cloudera.com> wrote:
>
>> So my thought would be that if the DoFn in this step:
>>
>> beforeWrite.parallelDo(DoFn, U, ParallelDoOptions.builder().
>> sources(target).build());
>>
>> signaled that it was going to write a lot of data with a large
>> scaleFactor,
>> then the planner would use the output from beforeWrite as a checkpoint,
>> and
>> save the DoFn processing for the map phase.
>>
>>
>> On Tue, Feb 25, 2014 at 5:08 PM, Jinal Shah <jinalshah2007@gmail.com>
>> wrote:
>>
>> > Yup this is to avoid .run() ;-) . But I want the beforeWrite output to
>> be
>> > stored. So how do I apply the scaleFactor method and how will help to
>> make
>> > the DoFn for afterWrite run in Mapside.
>> >
>> >
>> > On Tue, Feb 25, 2014 at 6:58 PM, Josh Wills <josh.wills@gmail.com>
>> wrote:
>> >
>> > > Okay. Out of curiosity, if you override the float scaleFactor() method
>> > that
>> > > you apply here:
>> > >
>> > > PCollection<U> afterParallelDo = afterWrite.parallelDo(DoFn, U,
>> > > ParallelDoOptions.builder().sources(target).build());
>> > >
>> > > and apply it to beforeWrite, does it still insist on writing out
>> > > beforeWrite on the reduce side?
>> > >
>> > > BTW, I'm assuming there is (again) some reason not to force a run()
>> here.
>> > > ;-)
>> > >
>> > >
>> > >
>> > > On Tue, Feb 25, 2014 at 4:51 PM, Jinal Shah <jinalshah2007@gmail.com>
>> > > wrote:
>> > >
>> > > > I wanted to run that in the map phase instead of reduce. If I don't
>> do
>> > > that
>> > > > it will run in the reduce phase.
>> > > >
>> > > >
>> > > > On Tue, Feb 25, 2014 at 5:38 PM, Josh Wills <jwills@cloudera.com>
>> > wrote:
>> > > >
>> > > > > On Tue, Feb 25, 2014 at 3:04 PM, Jinal Shah <
>> jinalshah2007@gmail.com
>> > >
>> > > > > wrote:
>> > > > >
>> > > > > > Hi,
>> > > > > >
>> > > > > > I'm trying to do an union of 3 PTables but I'm getting this
>> error
>> > > > > > http://pastebin.com/TkMPunJu
>> > > > > >
>> > > > > > this is where it is throwing it
>> > > > > >
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> https://github.com/apache/crunch/blob/master/crunch-core/src/main/java/org/apache/crunch/impl/dist/collect/BaseInputCollection.java#L66
>> > > > > >
>> > > > > > this is what I'm trying to do
>> > > > > >
>> > > > > > PCollection<U> beforeWrite = someOperation();
>> > > > > >
>> > > > > > SourceTarget<U> target = new AvroFileTarget().asSourceTaget(U);
>> > > > > >
>> > > > > > pipeline.write(beforeWrite, target);
>> > > > > >
>> > > > > > PCollection<U> afterWrite = pipeline.read(target);
>> > > > > >
>> > > > >
>> > > > > Why are you creating afterWrite here, instead of doing the
>> processing
>> > > in
>> > > > > the next step (the one that yields afterParallelDo) against
>> > > beforeWrite?
>> > > > >
>> > > > >
>> > > > > > PCollection<U> afterParallelDo = afterWrite.parallelDo(DoFn,
U,
>> > > > > > ParallelDoOptions.builder().sources(target).build());
>> > > > > >
>> > > > > > PTable<K,U> afterSomeOperation = someOperations();
>> > > > > >
>> > > > > > PTable<K,U> thatNeedsToBeAdded = comingFromHbase();
>> > > > > >
>> > > > > > PTable<K,U> unionNeeded =
>> > > >  afterSomeOperation.union(thatNeedsToBeAdded);
>> > > > > //
>> > > > > > this is where it fails for some reason since it is looking
for
>> the
>> > > > target
>> > > > > > which is not generated yet.
>> > > > > >
>> > > > > >
>> > > > > > Can anyone help me in understanding why this is happening?
>> > > > > >
>> > > > > > Thanks
>> > > > > > Jinal
>> > > > > >
>> > > > >
>> > > > >
>> > > > >
>> > > > > --
>> > > > > Director of Data Science
>> > > > > Cloudera <http://www.cloudera.com>
>> > > > > Twitter: @josh_wills <http://twitter.com/josh_wills>
>> > > > >
>> > > >
>> > >
>> >
>>
>>
>>
>> --
>> Director of Data Science
>> Cloudera <http://www.cloudera.com>
>> Twitter: @josh_wills <http://twitter.com/josh_wills>
>>
>
>

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