hi I think you can run the workflows that you defined just 'run' paragraph. and I believe functionality of view are going to be better. :)
2016년 7월 14일 목요일, xiufeng liu<toxiuf...@gmail.com>님이 작성한 메시지: > It is easy to change the code. I did myself and use it as an ETL tool. It > is very powerful > > Afancy > > On Wednesday, July 13, 2016, Ahmed Sobhi <ahmed.so...@gmail.com > <javascript:_e(%7B%7D,'cvml','ahmed.so...@gmail.com');>> wrote: > >> I think this pr addresses what I need. Case 2 seem to describe the issue >> I'm having if I'm reading it correctly. >> >> The proposed solution, however, is not that clear to me. >> >> Is it that you define workflows where a work flow is a sequence of >> (notebook, paragraph) pairs that are to be run in a specific order? >> If that's the case, then this definitely solves my problem, but it's >> really cumbersome from a usability point of view. I think a better solution >> for my use case is to just have an option to run all paragraphs in the >> order they appear in on the notebook, regardless of which interpreter they >> use. >> >> On Wed, Jul 13, 2016 at 12:31 PM, Hyung Sung Shim <hss...@nflabs.com> >> wrote: >> >>> hi. >>> Maybe https://github.com/apache/zeppelin/pull/1176 is related what you >>> want. >>> Please check this pr. >>> >>> 2016년 7월 13일 수요일, xiufeng liu<toxiuf...@gmail.com>님이 작성한 메시지: >>> >>> You have to change the source codes to add the dependencies of running >>>> paragraphs. I think it is a really interesting feature, for example, it can >>>> be use as an ETL tool. But, unfortunately, there is no configuration option >>>> right now. >>>> >>>> /afancy >>>> >>>> On Wed, Jul 13, 2016 at 12:27 PM, Ahmed Sobhi <ahmed.so...@gmail.com> >>>> wrote: >>>> >>>>> Hello, >>>>> >>>>> I have been working on a large Spark Scala notebook. I recently had >>>>> the requirement to produce graphs/plots out of these data. Python and >>>>> PySpark seemed like a natural fit but since I've already invested a lot of >>>>> time and effort into the Scala version, I want to restrict my usage of >>>>> python to just plotting. >>>>> >>>>> I found a good workflow for where in the scala paragraphs I can use >>>>> *registerTempTable >>>>> *and in python I can just use *sqlContext.table *to retrieve that >>>>> table. >>>>> >>>>> The problem now is that if I try to run all paragraphs to get the >>>>> notebook updated, the python paragraphs fail because they are running >>>>> before the scala ones eventhough they are placed after them. >>>>> >>>>> It seems like the behavior in Zeppelin is that it attempts to run the >>>>> paragraphs concurrently if they were running on different interpreters >>>>> which might seem fine on the surface. But now that I want to introduce >>>>> some >>>>> dependency between spark/pyspark paragraphs, is there any way to do that? >>>>> >>>>> -- >>>>> Cheers, >>>>> Ahmed >>>>> >>>> >>>> >> >> >> -- >> Cheers, >> Ahmed >> http://bit.ly/ahmed_abtme <http://about.me/humanzz> >> >
