*run in parallel On Sat, Jul 16, 2016, 5:36 PM David Ortiz <[email protected]> wrote:
> 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 <[email protected]> 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 <[email protected]> wrote: >> >> What are the cluster resources available vs what a single map uses? >> >> On Sat, Jul 16, 2016, 3:04 PM Ben Juhn <[email protected]> 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 <[email protected]> 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 <[email protected]> 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" <[email protected]> >>> 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 >>>> >>>> >>>> >>> >>> >>
