That is complexity of the source code, this is easy to obtain, just fork it on github and send it through sonarqube or codacy cloud. I am not sure if this is not done already by the flink project. For my open source libraries (hadoopcryptoledger and hadoopoffice) that also provide Flink modules I do this.
> On 14. Apr 2018, at 14:17, Esa Heikkinen <esa.heikki...@student.tut.fi> wrote: > > Yes, you are right. > > But if I only focus to a statistical complexity of sources of Flink ? E.g. > number of libraries, functions/classes/methods, number and size of source > files and so on ? > How easily it is to get this information ? > > Best, Esa > > -----Original Message----- > From: Jörn Franke <jornfra...@gmail.com> > Sent: Saturday, April 14, 2018 1:43 PM > To: Esa Heikkinen <esa.heikki...@student.tut.fi> > Cc: firstname.lastname@example.org > Subject: Re: Complexity of Flink > > I think this always depends. I found Flink more clean compared to other Big > Data platforms and with some experience it is rather easy to deploy. > > However how do you measure complexity? How do you plan to cater for other > components (eg deploy in the cloud, deploy locally in a Hadoop cluster etc). > Then how do you take into account experience of the team leader and people > deploying it, issues with unqualified external service providers, contracts > etc? > > Those are the variables that you need to define and then validate (case study > and/or survey). > >> On 14. Apr 2018, at 12:24, Esa Heikkinen <heikk...@student.tut.fi> wrote: >> >> >> Hi >> >> I am writing a scientific article, that is related to deployment of Flink. >> >> I would be very interesting to know, how to measure a complexity of Flink >> platform or framework ? >> >> Does anyone know a good articles about that ? >> >> I think it is not always so simple to deploy and use.. >> >> Best, Esa >> >>