I'm studying a decision tree, and the algorithm has a part of record string frequency from file. This file have 30,000 cases and 1.68MB size.
I try to using HashMap to do this, in my main algorithm code, the replace method run about 900 milion times and took me about 30 seconds. Any way I can do it faster?
There are simplify code of my main algorithm code below, it took me about 10 second.
Map<String, Integer> classesCount = new HashMap<>();
int target = 900000000;
classesCount.put("a", 0);
classesCount.put("b", 0);
for(int i = 0; i < target; i ) {
if (i % 2 == 0) {
classesCount.replace("a", classesCount.get("a") 1);
}
else {
classesCount.replace("b", classesCount.get("b") 1);
}
}
To make it more clear my actual code, I have a class Value, and I have an array of Value class in main method, this is Values class as below.
public class Value<T extends Comparable<T>> implements Comparable<Value<T>> {
public T value;
public String result;
public Value(T value, String result) {
this.value = value;
this.result = result;
}
public int compareTo(Value<T> v) {
return value.compareTo(v.value);
}
}
this is main method code as below. assume arrayOfValue already have many element and every Value's result just have "a" and "b":
Map<String, Integer> classesCountA = new HashMap<>();
Map<String, Integer> classesCountB = new HashMap<>();
Value[] arrayOfValue = new Value[];
int splitIndex = 55;
classesCountA.put("a", 0);
classesCountA.put("b", 0);
classesCountB.put("a", 0);
classesCountB.put("b", 0);
for(int i = 0; i < arrayOfValue.length; i ) {
if(i < splitIndex) {
classesCountA.replace(arrayOfValue[i].result, classesCount.get(arrayOfValue[i].result) 1);
}
else {
classesCountB.replace(arrayOfValue[i].result, classesCount.get(arrayOfValue[i].result) 1);
}
}
CodePudding user response:
You don't need to replace the map's value at all. In contrast to keys map values are allowed to be mutable so all you need is a mutable structure to hold the frequency for each value.
Thus you could do it like this (simplified):
class Frequency {
int value;
}
Map<String, Frequency> frequencyMap = new HashMap<>();
//iterate over the words
for(String word : words) {
//get the mutable frequency for each word
Frequency f = frequencyMap.get(word);
//if the entry doesn't exist yet put it into the map
//(you could use computeIfAbsent but it would be slower
if( f == null ) {
f = new Frequency();
frequencyMap.put(word, f);
}
//just mutate the frequency - no need to change the map again
f.value ;
}
On my machine that's about 5x faster than the replace(key, get(key) 1)
approach.