Last active
September 15, 2019 10:58
-
-
Save girisandeep/450ff3d29f20f2e31cdd09ad0f1c0df2 to your computer and use it in GitHub Desktop.
Create custom accumulator using Scala for Spark 1.x
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
class MyComplex(var x: Int, var y: Int) extends Serializable{ | |
def reset(): Unit = { | |
x = 0 | |
y = 0 | |
} | |
def add(p:MyComplex): MyComplex = { | |
x = x + p.x | |
y = y + p.y | |
return this | |
} | |
} | |
import org.apache.spark.AccumulatorParam | |
class ComplexAccumulatorV1 extends AccumulatorParam[MyComplex] { | |
def zero(initialVal: MyComplex): MyComplex = { | |
return initialVal | |
} | |
def addInPlace(v1: MyComplex, v2: MyComplex): MyComplex = { | |
v1.add(v2) | |
return v1; | |
} | |
} | |
val vecAccum = sc.accumulator(new MyComplex(0,0))(new ComplexAccumulatorV1) | |
var myrdd = sc.parallelize(Array(1,2,3)) | |
def myfunc(x:Int):Int = { | |
vecAccum += new MyComplex(x, x) | |
return x * 3 | |
} | |
var myrdd1 = myrdd.map(myfunc) | |
myrdd1.collect() | |
vecAccum.value.x | |
vecAccum.value.y |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment