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
}
