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 > <javascript:_e(%7B%7D,'cvml','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 >> > >
