Unfortunately Either doesn’t accept 3 type parameters but only 2 so Either solution is not viable. My solution is pretty similar to Ravindra one. This “post” was to find out if there was a common and established solution to this problem, in the spark “world”. On Oct 16, 2015, at 11:05 AM, Ravindra <ravindra.baj...@gmail.com<mailto:ravindra.baj...@gmail.com>> wrote:
+1 Erwan.. May be a trivial solution like this - class Result (msg: String, record: Record) class Success (msgSuccess: String, val msg: String, val record: Record) extends Result(msg, record) class Failure (msgFailure: String, val msg: String, val record: Record) extends Result (msg, record) trait Warning { } class SuccessWithWarning(msgWaring: String, val msgSuccess:String, override val msg: String, override val record: Record) extends Success(msgSuccess, msg, record) with Warning val record1 = new Record("k1", "val11", "val21") val record2 = new Record("k2", "val12", "val22") val record3 = new Record("k3", "val13", "val23") val record4 = new Record("k4", "val14", "val24") val records : List[Record] = List (record1, record2, record3, record4 ) def processRecord(record: Record) : Either[Result,Result] = { //(record, new Result) val result: Either[Result,Result] = { if (record.key.equals("k1")) Left(new Failure("failed", "result", record)) else successHandler(record) } result } def successHandler (record: Record): Either[Result, Result] = { val result: Either[Result, Result] = { if (record.key.equals("k2")) Left(new Success("success", "result", record)) else Right(new SuccessWithWarning("warning", "success", "result", record)) } result } for(record <- records) { println (processRecord(record)) } On Fri, Oct 16, 2015 at 1:45 PM Erwan ALLAIN <eallain.po...@gmail.com<mailto:eallain.po...@gmail.com>> wrote: Either[FailureResult[T], Either[SuccessWithWarnings[T], SuccessResult[T]]] maybe ? On Thu, Oct 15, 2015 at 5:31 PM, Antonio Murgia <antonio.murg...@studio.unibo.it<mailto:antonio.murg...@studio.unibo.it>> wrote: 'Either' does not cover the case where the outcome was successful but generated warnings. I already looked into it and also at 'Try' from which I got inspired. Thanks for pointing it out anyway! #A.M. Il giorno 15 ott 2015, alle ore 16:19, Erwan ALLAIN <eallain.po...@gmail.com<mailto:eallain.po...@gmail.com>> ha scritto: What about http://www.scala-lang.org/api/2.9.3/scala/Either.html ? On Thu, Oct 15, 2015 at 2:57 PM, Roberto Congiu <roberto.con...@gmail.com<mailto:roberto.con...@gmail.com>> wrote: I came to a similar solution to a similar problem. I deal with a lot of CSV files from many different sources and they are often malformed. HOwever, I just have success/failure. Maybe you should make SuccessWithWarnings a subclass of success, or getting rid of it altogether making the warnings optional. I was thinking of making this cleaning/conforming library open source if you're interested. R. 2015-10-15 5:28 GMT-07:00 Antonio Murgia <antonio.murg...@studio.unibo.it<mailto:antonio.murg...@studio.unibo.it>>: Hello, I looked around on the web and I couldn’t find any way to deal in a structured way with malformed/faulty records during computation. All I was able to find was the flatMap/Some/None technique + logging. I’m facing this problem because I have a processing algorithm that extracts more than one value from each record, but can fail in extracting one of those multiple values, and I want to keep track of them. Logging is not feasible because this “warning” happens so frequently that the logs would become overwhelming and impossibile to read. Since I have 3 different possible outcomes from my processing I modeled it with this class hierarchy: <Screen Shot 2015-10-15 at 11.12.53 AM.png> That holds result and/or warnings. Since Result implements Traversable it can be used in a flatMap, discarding all warnings and failure results, in the other hand, if we want to keep track of warnings, we can elaborate them and output them if we need. Kind Regards #A.M. -- -------------------------------------------------------------- "Good judgment comes from experience. Experience comes from bad judgment" --------------------------------------------------------------