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>
