Get it ! Thanks for answering my question, i was quite clear about it after reading the code. And i think this ok for one person that create a single note to write and run his code. I'm planning to create a zeppelin server and share it to all the RDs in our company. To make sure they can parallel run their code and not share local value for each other, i will create Interpreter settings with different name for each user, and bind the Interpreter setting to every note which create by the same user automatically. Do you think this method is suitable for us to use zeppelin？ Do you have any good suggestions?
2015-07-15 21:45 GMT+08:00 moon soo Lee <m...@apache.org>: > Hi, > > Thanks for asking question. > > The reason is simply because of it is running code statements. The > statements can have order and dependency. Imagine i have two paragraphs > > %spark > val a = 1 > > %spark > print(a) > > If they're not running one by one, that means they possibly runs in random > order and the output will be always different. Either '1' or 'val a can not > found'. > > This is the reason why. But if there are nice idea to handle this problem > i agree using parallel scheduler would help a lot. > > Thanks, > moon > > On 2015년 7월 14일 (화) at 오후 7:59 linxi zeng <linxizeng0...@gmail.com> wrote: > >> any one who have the same question with me? or this is not a question? >> >> 2015-07-14 11:47 GMT+08:00 linxi zeng <linxizeng0...@gmail.com>: >> >>> hi, Moon: >>> I notice that the getScheduler function in the SparkInterpreter.java >>> return a FIFOScheduler which makes the spark interpreter run spark job one >>> by one. It's not a good experience when couple of users do some work on >>> zeppelin at the same time, because they have to wait for each other. >>> And at the same time, SparkSqlInterpreter can chose what scheduler to >>> use by "zeppelin.spark.concurrentSQL". >>> My question is, what kind of consideration do you based on to make such >>> a decision? >>> >> >>
