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Table of Contents
1. 避免創(chuàng)建不必要的對象
2. 合理使用集合類和初始容量
3. 使用基本類型,避免自動裝箱
4. 選擇合適的并發(fā)結(jié)構(gòu)
5. 減少方法調(diào)用開銷(JVM 會優(yōu)化,但你得給它機會)
6. 使用 String.intern() 謹慎管理字符串內(nèi)存
7. 合理使用 try-catch 和異常處理
8. 關(guān)注 JVM 調(diào)優(yōu)與監(jiān)控
9. 使用性能分析工具定位瓶頸
10. 了解 JIT 編譯器的行為
Home Java javaTutorial Writing High-Performance Java Code

Writing High-Performance Java Code

Jul 26, 2025 am 01:52 AM
java Performance optimization

寫出高性能的 Java 代碼需要理解 JVM、合理使用語言特性并規(guī)避常見陷阱。1. 避免創(chuàng)建不必要的對象,優(yōu)先使用 StringBuilder 進行字符串拼接,減少 GC 壓力;2. 初始化集合時指定合理容量,避免頻繁擴容導致的性能開銷;3. 優(yōu)先使用基本類型而非包裝類型,避免自動裝箱拆箱帶來的性能損耗,性能敏感場景可選用 TIntArrayList 等專用庫;4. 多線程環(huán)境下優(yōu)先使用 ConcurrentHashMap、LongAdder 等無鎖并發(fā)結(jié)構(gòu),避免 synchronized 過度使用;5. 保持方法短小以利于 JIT 內(nèi)聯(lián)優(yōu)化,避免手動將邏輯合并到大方法中;6. 謹慎使用 String.intern() 減少重復字符串內(nèi)存占用,但需防范元空間溢出風險;7. 避免用異??刂屏鞒?,不在熱點代碼中頻繁拋出異常,改用預(yù)判邏輯或工具類;8. 合理配置 JVM 參數(shù),如設(shè)置固定堆大小、選用 G1GC 或 ZGC、開啟 GC 日志以便分析;9. 使用 JMH、VisualVM、Async-Profiler 等工具進行性能測試與瓶頸定位,不依賴猜測;10. 了解 JIT 編譯行為,重視代碼預(yù)熱,使用 final 類和方法提升優(yōu)化機會。高性能代碼的核心在于減少資源浪費、充分利用 JVM 機制并通過工具驗證優(yōu)化效果,應(yīng)在設(shè)計時具備性能意識,避免過早優(yōu)化但不忽視關(guān)鍵實踐,最終實現(xiàn)高效穩(wěn)定的 Java 應(yīng)用。

Writing High-Performance Java Code

寫出高性能的 Java 代碼,不是靠堆砌技巧,而是理解 JVM、合理使用語言特性和規(guī)避常見陷阱。以下是一些關(guān)鍵實踐,能顯著提升 Java 應(yīng)用的性能和資源利用率。

Writing High-Performance Java Code

1. 避免創(chuàng)建不必要的對象

Java 的垃圾回收機制雖然強大,但頻繁的對象創(chuàng)建和銷毀會帶來 GC 壓力,影響吞吐和延遲。

建議:

Writing High-Performance Java Code
  • 使用對象池(謹慎使用,僅適用于生命周期長、創(chuàng)建代價高的對象)
  • 復用可變對象,比如 StringBuilder 替代字符串拼接
  • 避免在循環(huán)中創(chuàng)建臨時對象
// ? 慢:每次循環(huán)都創(chuàng)建新 String
String result = "";
for (String s : list) {
    result += s;
}

// ? 快:復用 StringBuilder
StringBuilder sb = new StringBuilder();
for (String s : list) {
    sb.append(s);
}
String result = sb.toString();

2. 合理使用集合類和初始容量

默認的集合容量(如 ArrayList 初始為 10)在數(shù)據(jù)量大時會頻繁擴容,觸發(fā)數(shù)組復制。

建議:

Writing High-Performance Java Code
  • 預(yù)估數(shù)據(jù)量,初始化時指定容量
  • 使用 HashMap 時也指定初始容量,避免 rehash
// ? 提前設(shè)置容量,避免多次擴容
int expectedSize = 1000;
List<String> list = new ArrayList<>(expectedSize);
Map<String, Integer> map = new HashMap<>(expectedSize);

3. 使用基本類型,避免自動裝箱

Integer、Long 等包裝類型比 int、long 多出對象頭和引用開銷。在集合中尤其明顯。

問題示例:

// ? 使用包裝類型,頻繁裝箱/拆箱 + GC 壓力
List<Integer> numbers = new ArrayList<>();
for (int i = 0; i < 100000; i++) {
    numbers.add(i); // 自動裝箱
}

解決方案:

  • 使用 int[]TIntArrayList(來自 Trove、FastUtil 等高性能庫)
  • 在性能敏感場景避免 Stream<Integer>,改用原生數(shù)組或?qū)S脦?/li>

4. 選擇合適的并發(fā)結(jié)構(gòu)

多線程環(huán)境下,錯誤的同步方式會嚴重拖慢性能。

建議:

  • 優(yōu)先使用無鎖結(jié)構(gòu):ConcurrentHashMap、LongAdder、AtomicInteger
  • 避免 synchronized 方法或代碼塊過度使用
  • CopyOnWriteArrayList 只適用于讀多寫極少的場景
// ? 高并發(fā)計數(shù)推薦 LongAdder(比 AtomicLong 更快)
private static final LongAdder counter = new LongAdder();

public void increment() {
    counter.increment();
}

5. 減少方法調(diào)用開銷(JVM 會優(yōu)化,但你得給它機會)

現(xiàn)代 JVM(HotSpot)會內(nèi)聯(lián)方法調(diào)用,但前提是方法足夠小且調(diào)用頻繁。

建議:

  • 保持方法短小,利于 JIT 編譯優(yōu)化
  • 避免過度使用 finalprivate 以外的訪問控制(影響內(nèi)聯(lián)判斷)
  • 不要手動“內(nèi)聯(lián)”邏輯到大方法中,反而不利于優(yōu)化

6. 使用 String.intern() 謹慎管理字符串內(nèi)存

大量重復字符串(如 JSON 字段名、狀態(tài)碼)可考慮 intern(),復用常量池中的引用。

String status = reader.readStatus().intern(); // 減少重復字符串內(nèi)存占用

?? 注意:intern() 會進入永久代/元空間,過多使用可能導致 OutOfMemoryError,Java 7+ 已優(yōu)化,但仍需監(jiān)控。


7. 合理使用 try-catch 和異常處理

異常本身不慢,但拋出異常時的棧追蹤生成很昂貴。

建議:

  • 不要用異常控制流程(如 catch NumberFormatException 來判斷是否數(shù)字)
  • 避免在熱點路徑中頻繁拋出異常
// ? 利用異常做判斷,性能極差
Integer num;
try {
    num = Integer.parseInt(input);
} catch (NumberFormatException e) {
    num = 0;
}

// ? 先判斷或使用工具類
num = ParseUtils.tryParseInt(input, 0);

8. 關(guān)注 JVM 調(diào)優(yōu)與監(jiān)控

代碼寫得再好,JVM 配置不合理也會拖后腿。

關(guān)鍵參數(shù)建議:

  • 使用 G1GC 或 ZGC(低延遲場景)
  • 設(shè)置合理的堆大?。?code>-Xms4g -Xmx4g(避免動態(tài)擴容)
  • 開啟 GC 日志,定期分析:-Xlog:gc*,heap*:file=gc.log
java -Xms4g -Xmx4g \
     -XX:+UseG1GC \
     -XX:+UseStringDeduplication \
     -Xlog:gc:gc.log \
     MyApp

9. 使用性能分析工具定位瓶頸

別靠猜,用工具看:

  • JMH:寫微基準測試,準確測量方法性能
  • VisualVM / JConsole:監(jiān)控內(nèi)存、線程、GC
  • Async-Profiler:采樣 CPU 和內(nèi)存,找出熱點方法
@Benchmark
public void testStringConcat(Blackhole blackhole) {
    String a = "hello", b = "world";
    blackhole.consume(a + b);
}

10. 了解 JIT 編譯器的行為

JVM 不是解釋執(zhí)行,而是運行時將熱點代碼編譯為本地機器碼。

注意:

  • 代碼預(yù)熱很重要,壓測前先運行幾輪
  • 簡單的 getter/setter 會被完全內(nèi)聯(lián)
  • final 類和方法更易優(yōu)化

寫高性能 Java 代碼,本質(zhì)上是:減少資源浪費、利用 JVM 特性、用工具驗證假設(shè)。不要過早優(yōu)化,但要在設(shè)計時就有性能意識。

基本上就這些,不復雜,但容易忽略。

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