blob: 1cfe22a32cd2c91e61c06cae20aa7e4d39657ec4 [file] [log] [blame]
/*
* Copyright 2019, Verizon Media.
* Licensed under the terms of the Apache License 2.0. See LICENSE file at the project root for terms.
*/
package com.yahoo.sketches.pig.kll;
import java.io.IOException;
import org.apache.pig.EvalFunc;
import org.apache.pig.data.DataByteArray;
import org.apache.pig.data.Tuple;
import com.yahoo.memory.Memory;
import com.yahoo.sketches.kll.KllFloatsSketch;
/**
* This UDF is to get an approximation to the Cumulative Distribution Function (CDF) of the input stream
* given a sketch and a set of split points - an array of <i>m</i> unique, monotonically increasing
* float values that divide the real number line into <i>m+1</i> consecutive disjoint intervals.
* The function returns an array of <i>m+1</i> double values, the first <i>m</i> of which are approximations
* to the ranks of the corresponding split points (fraction of input stream values that are less than
* a split point). The last value is always 1. CDF can also be viewed as a cumulative version of PMF.
*/
public class GetCdf extends EvalFunc<Tuple> {
@Override
public Tuple exec(final Tuple input) throws IOException {
if (input.size() < 2) {
throw new IllegalArgumentException(
"expected two or more inputs: sketch and list of split points");
}
if (!(input.get(0) instanceof DataByteArray)) {
throw new IllegalArgumentException("expected a DataByteArray as a sketch, got "
+ input.get(0).getClass().getSimpleName());
}
final DataByteArray dba = (DataByteArray) input.get(0);
final KllFloatsSketch sketch = KllFloatsSketch.heapify(Memory.wrap(dba.get()));
final float[] splitPoints = new float[input.size() - 1];
for (int i = 1; i < input.size(); i++) {
if (!(input.get(i) instanceof Float)) {
throw new IllegalArgumentException("expected a float value as a split point, got "
+ input.get(i).getClass().getSimpleName());
}
splitPoints[i - 1] = (float) input.get(i);
}
final double[] cdf = sketch.getCDF(splitPoints);
if (cdf == null) { return null; }
return GetPmf.doubleArrayToTuple(cdf);
}
}