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 <[email protected]> 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 <[email protected]> > 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 <[email protected]> > 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 <[email protected]> > > > 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 <[email protected]> > > wrote: > > > > > > > > > On Tue, Feb 25, 2014 at 3:04 PM, Jinal Shah < > [email protected] > > > > > > > > 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> >
