Functions are still limited to 22 arguments https://github.com/scala/scala/blob/2.13.x/src/library/scala/Function22.scala
On Tue, Dec 26, 2017 at 2:19 PM, Felix Cheung <felixcheun...@hotmail.com> wrote: > Generally the 22 limitation is from Scala 2.10. > > In Scala 2.11, the issue with case class is fixed, but with that said I’m > not sure if with UDF in Java other limitation might apply. > > _____________________________ > From: Aakash Basu <aakash.spark....@gmail.com> > Sent: Monday, December 25, 2017 9:13 PM > Subject: Re: Passing an array of more than 22 elements in a UDF > To: Felix Cheung <felixcheun...@hotmail.com> > Cc: ayan guha <guha.a...@gmail.com>, user <user@spark.apache.org> > > > > What's the privilege of using that specific version for this? Please throw > some light onto it. > > On Mon, Dec 25, 2017 at 6:51 AM, Felix Cheung <felixcheun...@hotmail.com> > wrote: > >> Or use it with Scala 2.11? >> >> ------------------------------ >> *From:* ayan guha <guha.a...@gmail.com> >> *Sent:* Friday, December 22, 2017 3:15:14 AM >> *To:* Aakash Basu >> *Cc:* user >> *Subject:* Re: Passing an array of more than 22 elements in a UDF >> >> Hi I think you are in correct track. You can stuff all your param in a >> suitable data structure like array or dict and pass this structure as a >> single param in your udf. >> >> On Fri, 22 Dec 2017 at 2:55 pm, Aakash Basu <aakash.spark....@gmail.com> >> wrote: >> >>> Hi, >>> >>> I am using Spark 2.2 using Java, can anyone please suggest me how to >>> take more than 22 parameters in an UDF? I mean, if I want to pass all the >>> parameters as an array of integers? >>> >>> Thanks, >>> Aakash. >>> >> -- >> Best Regards, >> Ayan Guha >> > > > >
