Yes, but they were always available. Because user code in Java was always in "Rich Functions". There is no rich function for iterations, though, since iterations themselves don't have user code attached.
Aljoscha On Mon, Aug 18, 2014 at 10:59 AM, Fabian Hueske <[email protected]> wrote: > RichFunctions were added to the JavaAPI recently: > > > https://github.com/apache/incubator-flink/tree/72d7b86274c33d1570ffb22b1fca2081c15d753c/flink-java/src/main/java/org/apache/flink/api/java/functions > > Cheers, Fabian > > > 2014-08-18 8:16 GMT+02:00 Aljoscha Krettek <[email protected]>: > > Hi, >> there is no RichFunction in the Java API either. You don't have to create >> a new DataSet. Your iteration result will be a DataSet that results from >> some operations based on the previous SolutionSet and/or WorkingSet. For >> example: >> >> def stepFunction(s: DataSet[SolutionType], ws: DataSet[WorksetType]) = { >> val intermediate = ws.join(somethingFromOutside) where {...} isEqualTo >> {...} map {...} >> val newSolution = s.join(intermediate) where ... >> val newWorkset = ... >> (newSolution, newWorkset) >> } >> >> Aljoscha >> >> >> On Sun, Aug 17, 2014 at 6:14 PM, Maximilian Alber < >> [email protected]> wrote: >> >>> Hi! >>> Thank you! >>> >>> But how do I join my result to the solution set if I cannot create a new >>> DataSet inside the iteration? >>> In Scala there is not yet a RichFunction for the Iterations, am I right? >>> So I should best use the Java class? >>> >>> Mit freundlichen Grüßen, >>> Max! >>> >>> >>> On Fri, Aug 15, 2014 at 3:50 PM, Aljoscha Krettek <[email protected]> >>> wrote: >>> >>>> Hi, >>>> right now, the only way of updating the solution set in a delta >>>> iteration is by joining with the solution set from the previous iteration >>>> and having the result of that join as the result of the step function. I >>>> working on simplifying iterations as well as bringing the Scala API to >>>> feature parity with the Java API. It should not be possible right now to >>>> create a new data source inside each iteration step. >>>> >>>> The way to get at the current iteration number is by having a rich >>>> function instead of a lambda function. So instead of: >>>> val someSet = ... >>>> val otherSet = someSet map { x => x + 1} >>>> >>>> you would have: >>>> val someSet = ... >>>> val otherSet = someSet map( new MapFunction[InType, OutType]() { >>>> def apply(in: SomeType): SomeOtherType = { >>>> val iteration = getIterationRuntimeContext().getSuperstepNumber() >>>> (iteration, x, y, ...) >>>> } >>>> }) >>>> >>>> I hope that helps. >>>> >>>> Aljoscha >>>> >>>> >>>> On Tue, Aug 12, 2014 at 8:21 PM, Maximilian Alber < >>>> [email protected]> wrote: >>>> >>>>> Hi everybody, >>>>> >>>>> as already stated, I try currently to implement a Machine Learning >>>>> algorithm on Stratosphere for the ML group at TU Berlin. I ran into some >>>>> issues. >>>>> >>>>> The basic scheme of my algorithm is: >>>>> >>>>> X = input data >>>>> Y = input data >>>>> residuals = Y >>>>> >>>>> model = array[float, float, float] size n >>>>> >>>>> for i in 1:n >>>>> a = calc_a(X, residuals) >>>>> b = calc_b(X, a, residuals) >>>>> c = calc_c(X, a, b, c, residuals) >>>>> >>>>> model(i) = (a, b, c) >>>>> residuals = update_residuals(residuals, a, b, c) >>>>> >>>>> output model >>>>> >>>>> My attempt now would be to use the delta iterations, use the model as >>>>> solution set, and the residuals as working sets: >>>>> >>>>> Code: >>>>> ------------------------------------------------------------------------------------------------------------------------------------------------------- >>>>> val X = getInputSource >>>>> val Y = DataSource(YFile, CsvInputFormat[Float]) >>>>> >>>>> val model = CollectionDataSource[(Int, Float, Float, Float)](List()) >>>>> val residual = Y >>>>> >>>>> def step_function(model: DataSet[(Int, Float, Float, Float)], >>>>> residuals: DataSet[Float]) = { >>>>> import util.Random >>>>> (CollectionDataSource(Seq(new Tuple4(Random.nextInt, 1.0f, 1.0f, >>>>> 2.0f))), residuals) >>>>> } >>>>> >>>>> model.iterateWithDelta( >>>>> residual, >>>>> { x: (Int, Float, Float, Float) => x._1 }, >>>>> step_function, >>>>> config.iterations >>>>> ) >>>>> >>>>> val output = model //map { x => println(x); x } >>>>> val sink = output.write(outFile, CsvOutputFormat[(Int, Float, Float, >>>>> Float)], "Model output") >>>>> >>>>> Code End >>>>> ---------------------------------------------------------------------------------------------------------------------------------------------------- >>>>> >>>>> At the moment I try just to output a list of tuples. >>>>> >>>>> My problems are: >>>>> - instead of the random integer I would like to insert the index of >>>>> the iterations. >>>>> - I get this error: >>>>> 08/12/2014 20:14:37: Job execution switched to status SCHEDULED >>>>> 08/12/2014 20:14:37: DataSource(<Unnamed Collection Data Source>) >>>>> (1/1) switched to SCHEDULED >>>>> 08/12/2014 20:14:37: DataSink(Model output) (1/1) switched to SCHEDULED >>>>> 08/12/2014 20:14:37: DataSource(<Unnamed Collection Data Source>) >>>>> (1/1) switched to ASSIGNED >>>>> 08/12/2014 20:14:37: DataSink(Model output) (1/1) switched to ASSIGNED >>>>> 08/12/2014 20:14:37: DataSource(<Unnamed Collection Data Source>) >>>>> (1/1) switched to READY >>>>> 08/12/2014 20:14:37: DataSource(<Unnamed Collection Data Source>) >>>>> (1/1) switched to STARTING >>>>> 08/12/2014 20:14:37: Job execution switched to status RUNNING >>>>> 08/12/2014 20:14:37: DataSource(<Unnamed Collection Data Source>) >>>>> (1/1) switched to RUNNING >>>>> 08/12/2014 20:14:37: DataSink(Model output) (1/1) switched to READY >>>>> 08/12/2014 20:14:37: DataSink(Model output) (1/1) switched to STARTING >>>>> 08/12/2014 20:14:37: DataSink(Model output) (1/1) switched to RUNNING >>>>> 08/12/2014 20:14:38: DataSource(<Unnamed Collection Data Source>) >>>>> (1/1) switched to FINISHING >>>>> 08/12/2014 20:14:38: DataSource(<Unnamed Collection Data Source>) >>>>> (1/1) switched to CANCELING >>>>> 08/12/2014 20:14:38: DataSink(Model output) (1/1) switched to FAILED >>>>> java.lang.RuntimeException: Cannot serialize record with out field at >>>>> position: 0 >>>>> at >>>>> eu.stratosphere.api.java.record.io.CsvOutputFormat.writeRecord(CsvOutputFormat.java:295) >>>>> at >>>>> eu.stratosphere.api.java.record.io.CsvOutputFormat.writeRecord(CsvOutputFormat.java:50) >>>>> at >>>>> eu.stratosphere.pact.runtime.task.DataSinkTask.invoke(DataSinkTask.java:178) >>>>> at >>>>> eu.stratosphere.nephele.execution.RuntimeEnvironment.run(RuntimeEnvironment.java:284) >>>>> at java.lang.Thread.run(Thread.java:744) >>>>> >>>>> I doubt there is no record inside model. Because if I enable the map >>>>> function in the second last line I get an IndexOutOfBounds exception at >>>>> index 0. >>>>> >>>>> Many thanks in adavance >>>>> >>>>> Cheers, >>>>> Max >>>>> >>>>> >>>>> >>>>> >>>> >>>> >>> >> >
