istm what you can only do is inject `collect` methods map-by-map like; `df.map(x => do something...).collect` // check intermediate results in maps
This only works for small datasets though. // maropu On Tue, Sep 13, 2016 at 1:38 AM, Attias, Hagai <hatt...@akamai.com> wrote: > Hi, > > Not sure what you mean, can you give an example? > > > > Hagai. > > > > *From: *Takeshi Yamamuro <linguin....@gmail.com> > *Date: *Monday, September 12, 2016 at 7:24 PM > *To: *Hagai Attias <hatt...@akamai.com> > *Cc: *"user@spark.apache.org" <user@spark.apache.org> > *Subject: *Re: Debugging a spark application in a none lazy mode > > > > Hi, > > > > Spark does not have such mode. > > How about getting local arrays by `collect` methods for debugging? > > > > // maropu > > > > On Tue, Sep 13, 2016 at 12:44 AM, Hagai <hatt...@akamai.com> wrote: > > Hi guys, > Lately I was looking for a way to debug my spark application locally. > > However, since all transformations are actually being executed when the > action is encountered, I have no way to look at the data after each > transformation. Does spark support a non-lazy mode which enables to execute > the transformations locally after each statement? > > Thanks, > Hagai. > > > > > -- > View this message in context: http://apache-spark-user-list. > 1001560.n3.nabble.com/Debugging-a-spark-application- > in-a-none-lazy-mode-tp27695.html > <https://urldefense.proofpoint.com/v2/url?u=http-3A__apache-2Dspark-2Duser-2Dlist.1001560.n3.nabble.com_Debugging-2Da-2Dspark-2Dapplication-2Din-2Da-2Dnone-2Dlazy-2Dmode-2Dtp27695.html&d=DQMFaQ&c=96ZbZZcaMF4w0F4jpN6LZg&r=2rse0GbSQg7RYcSn-6rlDlqzz-dO7WIUHmH78VamBHk&m=R2km6aj_sbZAZeikZA4yYw9K04cSrc6PmYXoq-Hvanc&s=NUDoEmxnN6I8u1TtEZb0xdTvseGduRGZANbgUO47FPE&e=> > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe e-mail: user-unsubscr...@spark.apache.org > > > > > > -- > > --- > Takeshi Yamamuro > -- --- Takeshi Yamamuro
