flink-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Stephan Ewen <se...@apache.org>
Subject Re: No Nested Iterations??? And where is the Nested Iteration?
Date Wed, 12 Nov 2014 13:48:28 GMT
Hi!

I am looking into it right now...

Stephan


On Tue, Nov 11, 2014 at 2:09 PM, Maximilian Alber <
alber.maximilian@gmail.com> wrote:

> Hi Stephan,
>
> you already had time to investigate this issue?
>
> Cheers,
> Max
>
> On Tue, Oct 21, 2014 at 2:03 PM, Stephan Ewen <sewen@apache.org> wrote:
>
>> Hey!
>>
>> Clearly, this looks like a bug. Let me investigate that and get back at
>> you later...
>>
>> Greetings,
>> Stephan
>>
>>
>> On Tue, Oct 21, 2014 at 1:16 PM, Maximilian Alber <
>> alber.maximilian@gmail.com> wrote:
>>
>>> Hi Flinksters!
>>>
>>> First some good news: the cumsum code from the last issue works now
>>> correctly and is tested.
>>>
>>> Bad news (at least for me): I just run into this (for the error and code
>>> see below). You have a road map when this feature will be available?
>>> Regardless of the rest, I would need it in the near future.
>>>
>>> So far so good. But I wonder where this nested iteration should be. At
>>> least I do not see them... I have an iteration and inside a lot of
>>> filters/maps/etc. but not another iteration.
>>>
>>> Cheers,
>>> Max
>>>
>>> Error:
>>>
>>> org.apache.flink.compiler.CompilerException: An error occurred while
>>> translating the optimized plan to a nephele JobGraph: An error occurred
>>> while translating the optimized plan to a nephele JobGraph: Nested
>>> Iterations are not possible at the moment!
>>> at
>>> org.apache.flink.compiler.plantranslate.NepheleJobGraphGenerator.postVisit(NepheleJobGraphGenerator.java:543)
>>> at
>>> org.apache.flink.compiler.plantranslate.NepheleJobGraphGenerator.postVisit(NepheleJobGraphGenerator.java:95)
>>> at
>>> org.apache.flink.compiler.plan.DualInputPlanNode.accept(DualInputPlanNode.java:170)
>>> at
>>> org.apache.flink.compiler.plan.SingleInputPlanNode.accept(SingleInputPlanNode.java:196)
>>> at
>>> org.apache.flink.compiler.plan.SingleInputPlanNode.accept(SingleInputPlanNode.java:196)
>>> at
>>> org.apache.flink.compiler.plan.OptimizedPlan.accept(OptimizedPlan.java:165)
>>> at
>>> org.apache.flink.compiler.plantranslate.NepheleJobGraphGenerator.compileJobGraph(NepheleJobGraphGenerator.java:163)
>>> at org.apache.flink.client.program.Client.getJobGraph(Client.java:218)
>>> at org.apache.flink.client.program.Client.run(Client.java:290)
>>> at org.apache.flink.client.program.Client.run(Client.java:285)
>>> at org.apache.flink.client.program.Client.run(Client.java:230)
>>> at
>>> org.apache.flink.client.CliFrontend.executeProgram(CliFrontend.java:347)
>>> at org.apache.flink.client.CliFrontend.run(CliFrontend.java:334)
>>> at
>>> org.apache.flink.client.CliFrontend.parseParameters(CliFrontend.java:1001)
>>> at org.apache.flink.client.CliFrontend.main(CliFrontend.java:1025)
>>> Caused by: org.apache.flink.compiler.CompilerException: An error
>>> occurred while translating the optimized plan to a nephele JobGraph: Nested
>>> Iterations are not possible at the moment!
>>> at
>>> org.apache.flink.compiler.plantranslate.NepheleJobGraphGenerator.postVisit(NepheleJobGraphGenerator.java:543)
>>> at
>>> org.apache.flink.compiler.plantranslate.NepheleJobGraphGenerator.postVisit(NepheleJobGraphGenerator.java:95)
>>> at
>>> org.apache.flink.compiler.plan.DualInputPlanNode.accept(DualInputPlanNode.java:170)
>>> at
>>> org.apache.flink.compiler.plan.SingleInputPlanNode.accept(SingleInputPlanNode.java:196)
>>> at
>>> org.apache.flink.compiler.plan.SingleInputPlanNode.accept(SingleInputPlanNode.java:196)
>>> at
>>> org.apache.flink.compiler.plan.SingleInputPlanNode.accept(SingleInputPlanNode.java:196)
>>> at
>>> org.apache.flink.compiler.plan.SingleInputPlanNode.accept(SingleInputPlanNode.java:199)
>>> at
>>> org.apache.flink.compiler.plan.SingleInputPlanNode.accept(SingleInputPlanNode.java:196)
>>> at
>>> org.apache.flink.compiler.plan.SingleInputPlanNode.accept(SingleInputPlanNode.java:199)
>>> at
>>> org.apache.flink.compiler.plan.DualInputPlanNode.accept(DualInputPlanNode.java:163)
>>> at
>>> org.apache.flink.compiler.plan.SingleInputPlanNode.accept(SingleInputPlanNode.java:196)
>>> at
>>> org.apache.flink.compiler.plan.SingleInputPlanNode.accept(SingleInputPlanNode.java:196)
>>> at
>>> org.apache.flink.compiler.plan.SingleInputPlanNode.accept(SingleInputPlanNode.java:196)
>>> at
>>> org.apache.flink.compiler.plan.DualInputPlanNode.accept(DualInputPlanNode.java:163)
>>> at
>>> org.apache.flink.compiler.plan.SingleInputPlanNode.accept(SingleInputPlanNode.java:196)
>>> at
>>> org.apache.flink.compiler.plan.SingleInputPlanNode.accept(SingleInputPlanNode.java:196)
>>> at
>>> org.apache.flink.compiler.plan.SingleInputPlanNode.accept(SingleInputPlanNode.java:196)
>>> at
>>> org.apache.flink.compiler.plan.SingleInputPlanNode.accept(SingleInputPlanNode.java:196)
>>> at
>>> org.apache.flink.compiler.plan.WorksetIterationPlanNode.acceptForStepFunction(WorksetIterationPlanNode.java:195)
>>> at
>>> org.apache.flink.compiler.plantranslate.NepheleJobGraphGenerator.postVisit(NepheleJobGraphGenerator.java:398)
>>> ... 14 more
>>> Caused by: org.apache.flink.compiler.CompilerException: Nested
>>> Iterations are not possible at the moment!
>>> at
>>> org.apache.flink.compiler.plantranslate.NepheleJobGraphGenerator.postVisit(NepheleJobGraphGenerator.java:395)
>>> ... 33 more
>>>
>>> Code:
>>>
>>> def createPlanFirstIteration(env: ExecutionEnvironment) = {
>>>     val X = env readTextFile config.xFile map
>>> {Vector.parseFromString(config.dimensions, _)}
>>>     val residual = env readTextFile config.yFile map
>>> {Vector.parseFromString(_)}
>>>     val randoms = env readTextFile config.randomFile map
>>> {Vector.parseFromString(_)}
>>>     val widthCandidates = env readTextFile config.widthCandidatesFile
>>> map {Vector.parseFromString(config.dimensions, _)}
>>>
>>>     val center = calcCenter(env, X, residual, randoms, 0)
>>>
>>>     val x = calcWidthHeight(env, X, residual, widthCandidates, center)
>>>
>>>     x map { _ toString } writeAsText config.outFile
>>> }
>>>
>>> def calcCenter(env: ExecutionEnvironment, X: DataSet[Vector], residual:
>>> DataSet[Vector], randoms: DataSet[Vector], iteration: Int): DataSet[Vector]
>>> = {
>>>     val residual_2 = residual * residual
>>>     val ys = (residual_2 sumV) * (randoms filter {_.id == iteration}
>>> neutralize)
>>>
>>>     val emptyDataSet = env.fromCollection[Vector](Seq())
>>>     val sumVector = env.fromCollection(Seq(Vector.zeros(1)))
>>>     val cumSum = emptyDataSet.iterateDelta(sumVector union residual_2,
>>> config.N+1, Array("id")) {
>>>       (solutionset, workset) =>
>>>       val current = workset filter (new RichFilterFunction[Vector]{
>>>         def filter(x: Vector) = x.id ==
>>> (getIterationRuntimeContext.getSuperstepNumber-1)
>>>        })
>>>       val old_sum = workset filter {_.id == -1}
>>>       val sum = VectorDataSet.add(old_sum, current.neutralize())
>>>
>>>       val new_workset = workset filter {_.id != -1} union sum
>>>        (sum map (new RichMapFunction[Vector, Vector]{
>>>           def map(x: Vector) = new
>>> Vector(getIterationRuntimeContext.getSuperstepNumber-1, x.values)
>>>        }),
>>>       new_workset)
>>>      }
>>>    val index = cumSum.filter(new RichFilterFunction[Vector](){
>>>       var y: Vector = null
>>>      override def open(config: Configuration) = {
>>>         y = getRuntimeContext.getBroadcastVariable("ys").toList.head
>>>      }
>>>      def filter(x: Vector) = x.values(0) < y.values(0)
>>>    }).withBroadcastSet(ys, "ys") map {x: Vector => Tuple1(1)} sum 0
>>>
>>>     val center = X.filter(new RichFilterFunction[Vector](){
>>>     var index: Int = -1
>>>     override def open(config: Configuration) = {
>>>       val x: Tuple1[Int] =
>>> getRuntimeContext.getBroadcastVariable("index").toList.head
>>>       index = x._1
>>>        }
>>>       def filter(x: Vector) = x.id == index
>>>     }).withBroadcastSet(index, "index")
>>>
>>>     center neutralize
>>> }
>>>
>>> def getKernelVector(X: DataSet[Vector], center: DataSet[Vector], width:
>>> DataSet[Vector]): DataSet[Vector] = {
>>>     X.map(new RichMapFunction[Vector, Vector]{
>>>       var center: Vector = null
>>>       var width: Vector = null
>>>       override def open(config: Configuration) = {
>>>        center =
>>> getRuntimeContext.getBroadcastVariable("center").toList.head
>>>        width =
>>> getRuntimeContext.getBroadcastVariable("width").toList.head
>>>      }
>>>
>>>     def map(x: Vector) = new Vector(x.id,
>>> Array(Math.exp(-((((x-center)*(x-center))/width).values.sum)).toFloat))
>>>     }).withBroadcastSet(center, "center").withBroadcastSet(width,
>>> "width")
>>> }
>>>
>>>
>>> def calcWidthHeight(env: ExecutionEnvironment, X: DataSet[Vector],
>>> residual: DataSet[Vector], widthCandidates: DataSet[Vector], center:
>>> DataSet[Vector]): DataSet[Vector] = {
>>>     val emptyDataSet = env.fromCollection[Vector](Seq())
>>>     val costs = emptyDataSet.iterateDelta(widthCandidates,
>>> config.NWidthCandidates, Array("id")) {
>>>        (solutionset, workset) =>
>>>        val currentWidth = workset filter (new RichFilterFunction[Vector]{
>>>          def filter(x: Vector) = x.id ==
>>> (getIterationRuntimeContext.getSuperstepNumber-1)
>>>        })
>>>
>>>       val kernelVector = getKernelVector(X, center, currentWidth)
>>>
>>>       val x1 = kernelVector dot residual map {x => x*x}
>>>       val x2 = kernelVector dot kernelVector
>>>
>>>      val cost = (x1 / x2) neutralize
>>>
>>>
>>>      (cost map (new RichMapFunction[Vector, Vector]{
>>>        def map(x: Vector) = new
>>> Vector(getIterationRuntimeContext.getSuperstepNumber-1, x.values)
>>>      }),
>>>      workset)
>>>     }
>>>
>>> // todo: will not work
>>> //val width = costs max(0)
>>>
>>> //val kernelVector = getKernelVector(X, center, width)
>>>
>>> //val x1 = kernelVector dot residual
>>> //val x2 = kernelVector dot kernelVector
>>> //val height = x1 / x2
>>>     costs
>>> }
>>>
>>
>>
>

Mime
View raw message