com.fasterxml.jackson.core.util.InternCache Maven / Gradle / Ivy
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package com.fasterxml.jackson.core.util;
import java.util.LinkedHashMap;
import java.util.concurrent.ConcurrentHashMap;
/**
* Singleton class that adds a simple first-level cache in front of
* regular String.intern() functionality. This is done as a minor
* performance optimization, to avoid calling native intern() method
* in cases where same String is being interned multiple times.
*
* Note: that this class extends {@link LinkedHashMap} is an implementation
* detail -- no code should ever directly call Map methods.
*/
@SuppressWarnings("serial")
public final class InternCache
extends ConcurrentHashMap // since 2.3
{
/**
* Size to use is somewhat arbitrary, so let's choose something that's
* neither too small (low hit ratio) nor too large (waste of memory).
*
* One consideration is possible attack via colliding {@link String#hashCode};
* because of this, limit to reasonably low setting.
*/
private final static int MAX_ENTRIES = 180;
public final static InternCache instance = new InternCache();
/**
* As minor optimization let's try to avoid "flush storms",
* cases where multiple threads might try to concurrently
* flush the map.
*/
private final Object lock = new Object();
private InternCache() { super(MAX_ENTRIES, 0.8f, 4); }
public String intern(String input) {
String result = get(input);
if (result != null) { return result; }
/* 18-Sep-2013, tatu: We used to use LinkedHashMap, which has simple LRU
* method. No such functionality exists with CHM; and let's use simplest
* possible limitation: just clear all contents. This because otherwise
* we are simply likely to keep on clearing same, commonly used entries.
*/
if (size() >= MAX_ENTRIES) {
/* Not incorrect wrt well-known double-locking anti-pattern because underlying
* storage gives close enough answer to real one here; and we are
* more concerned with flooding than starvation.
*/
synchronized (lock) {
if (size() >= MAX_ENTRIES) {
clear();
}
}
}
result = input.intern();
put(result, result);
return result;
}
}