From cef2ed9ef8e1111f8ce9d71b4a782a8240a15efe Mon Sep 17 00:00:00 2001 From: luocaodan Date: Sat, 4 Aug 2018 23:06:47 +0800 Subject: [PATCH 01/20] =?UTF-8?q?Update=20=E7=AE=97=E6=B3=95.md?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- notes/算法.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/notes/算法.md b/notes/算法.md index df5a8049..f440111c 100644 --- a/notes/算法.md +++ b/notes/算法.md @@ -2050,7 +2050,7 @@ public class SparseVector { 如果只有一个圆盘,那么只需要进行一次移动操作。 -从上面的讨论可以知道,n 圆盘需要移动 (n-1)+1+(n-1) = 2n-1 次。 +从上面的讨论可以知道,an = 2 * an-1 + 1,显然an = 2n - 1,n 圆盘需要移动 2n - 1 次。

From 288fb85d924314e5dac93ac033ad0a5573c83487 Mon Sep 17 00:00:00 2001 From: CyC2018 <1029579233@qq.com> Date: Sun, 5 Aug 2018 15:29:23 +0800 Subject: [PATCH 02/20] auto commit --- notes/Java 基础.md | 34 ++--- notes/Java 容器.md | 139 +++++++++++++++--- notes/算法.md | 2 +- pics/49495c95-52e5-4c9a-b27b-92cf235ff5ec.png | Bin 0 -> 10240 bytes pics/NP4z3i8m38Ntd28NQ4_0KCJ2q044Oez.png | Bin 0 -> 22528 bytes pics/SoWkIImgAStDuUBAp2j9BKfBJ4vLy0G.png | Bin 0 -> 14336 bytes pics/SoWkIImgAStDuUBAp2j9BKfBJ4vLy4q.png | Bin 0 -> 12288 bytes 7 files changed, 134 insertions(+), 41 deletions(-) create mode 100644 pics/49495c95-52e5-4c9a-b27b-92cf235ff5ec.png create mode 100644 pics/NP4z3i8m38Ntd28NQ4_0KCJ2q044Oez.png create mode 100644 pics/SoWkIImgAStDuUBAp2j9BKfBJ4vLy0G.png create mode 100644 pics/SoWkIImgAStDuUBAp2j9BKfBJ4vLy4q.png diff --git a/notes/Java 基础.md b/notes/Java 基础.md index f5133a6f..bcb94acc 100644 --- a/notes/Java 基础.md +++ b/notes/Java 基础.md @@ -4,7 +4,7 @@ * [缓存池](#缓存池) * [二、String](#二string) * [概览](#概览) - * [String 不可变的好处](#string-不可变的好处) + * [不可变的好处](#不可变的好处) * [String, StringBuffer and StringBuilder](#string,-stringbuffer-and-stringbuilder) * [String.intern()](#stringintern) * [三、运算](#三运算) @@ -153,7 +153,7 @@ public final class String private final char value[]; ``` -## String 不可变的好处 +## 不可变的好处 **1. 可以缓存 hash 值** @@ -212,7 +212,7 @@ String s5 = "bbb"; System.out.println(s4 == s5); // true ``` -在 Java 7 之前,字符串常量池被放在运行时常量池中,它属于永久代。而在 Java 7,字符串常量池被放在堆中。这是因为永久代的空间有限,在大量使用字符串的场景下会导致 OutOfMemoryError 错误。 +在 Java 7 之前,字符串常量池被放在运行时常量池中,它属于永久代。而在 Java 7,字符串常量池被移到 Native Method 中。这是因为永久代的空间有限,在大量使用字符串的场景下会导致 OutOfMemoryError 错误。 - [StackOverflow : What is String interning?](https://stackoverflow.com/questions/10578984/what-is-string-interning) - [深入解析 String#intern](https://tech.meituan.com/in_depth_understanding_string_intern.html) @@ -583,19 +583,7 @@ protected void finalize() throws Throwable {} ## equals() -**1. equals() 与 == 的区别** - -- 对于基本类型,== 判断两个值是否相等,基本类型没有 equals() 方法。 -- 对于引用类型,== 判断两个实例是否引用同一个对象,而 equals() 判断引用的对象是否等价,根据引用的对象的 equals() 方法的具体实现来进行比较。 - -```java -Integer x = new Integer(1); -Integer y = new Integer(1); -System.out.println(x.equals(y)); // true -System.out.println(x == y); // false -``` - -**2. 等价关系** +**1. 等价关系** (一)自反性 @@ -632,6 +620,18 @@ x.equals(y) == x.equals(y); // true x.equals(null); // false; ``` +**2. equals() 与 ==** + +- 对于基本类型,== 判断两个值是否相等,基本类型没有 equals() 方法。 +- 对于引用类型,== 判断两个实例是否引用同一个对象,而 equals() 判断引用的对象是否等价,根据引用对象 equals() 方法的具体实现来进行比较。 + +```java +Integer x = new Integer(1); +Integer y = new Integer(1); +System.out.println(x.equals(y)); // true +System.out.println(x == y); // false +``` + **3. 实现** - 检查是否为同一个对象的引用,如果是直接返回 true; @@ -1005,7 +1005,7 @@ public class A { **4. 静态内部类** -非静态内部类依赖于需要外部类的实例,而静态内部类不需要。 +非静态内部类依赖于外部类的实例,而静态内部类不需要。 ```java public class OuterClass { diff --git a/notes/Java 容器.md b/notes/Java 容器.md index c6fc88f4..27a783f1 100644 --- a/notes/Java 容器.md +++ b/notes/Java 容器.md @@ -14,6 +14,7 @@ * [ConcurrentHashMap](#concurrenthashmap) * [LinkedHashMap](#linkedhashmap) * [WeekHashMap](#weekhashmap) +* [附录](#附录) * [参考资料](#参考资料) @@ -24,15 +25,15 @@ ## Collection -

+

### 1. Set -- HashSet:基于哈希实现,支持快速查找,但不支持有序性操作,例如根据一个范围查找元素的操作。并且失去了元素的插入顺序信息,也就是说使用 Iterator 遍历 HashSet 得到的结果是不确定的。 +- HashSet:基于哈希表实现,支持快速查找。但不支持有序性操作,例如根据一个范围查找元素的操作。并且失去了元素的插入顺序信息,也就是说使用 Iterator 遍历 HashSet 得到的结果是不确定的。 - TreeSet:基于红黑树实现,支持有序性操作,但是查找效率不如 HashSet,HashSet 查找时间复杂度为 O(1),TreeSet 则为 O(logN)。 -- LinkedHashSet:具有 HashSet 的查找效率,且内部使用链表维护元素的插入顺序。 +- LinkedHashSet:具有 HashSet 的查找效率,且内部使用双向链表维护元素的插入顺序。 ### 2. List @@ -50,13 +51,13 @@ ## Map -

+

-- HashMap:基于哈希实现; +- HashMap:基于哈希表实现; - HashTable:和 HashMap 类似,但它是线程安全的,这意味着同一时刻多个线程可以同时写入 HashTable 并且不会导致数据不一致。它是遗留类,不应该去使用它。现在可以使用 ConcurrentHashMap 来支持线程安全,并且 ConcurrentHashMap 的效率会更高,因为 ConcurrentHashMap 引入了分段锁。 -- LinkedHashMap:使用链表来维护元素的顺序,顺序为插入顺序或者最近最少使用(LRU)顺序。 +- LinkedHashMap:使用双向链表来维护元素的顺序,顺序为插入顺序或者最近最少使用(LRU)顺序。 - TreeMap:基于红黑树实现。 @@ -64,7 +65,7 @@ ## 迭代器模式 -

+

Collection 实现了 Iterable 接口,其中的 iterator() 方法能够产生一个 Iterator 对象,通过这个对象就可以迭代遍历 Collection 中的元素。 @@ -95,7 +96,7 @@ Integer[] arr = {1, 2, 3}; List list = Arrays.asList(arr); ``` -也可以使用以下方式使用 asList(): +也可以使用以下方式调用 asList(): ```java List list = Arrays.asList(1,2,3); @@ -111,7 +112,7 @@ List list = Arrays.asList(1,2,3); ### 1. 概览 -实现了 RandomAccess 接口,因此支持随机访问,这是理所当然的,因为 ArrayList 是基于数组实现的。 +实现了 RandomAccess 接口,因此支持随机访问。这是理所当然的,因为 ArrayList 是基于数组实现的。 ```java public class ArrayList extends AbstractList @@ -126,7 +127,9 @@ private static final int DEFAULT_CAPACITY = 10; ### 2. 序列化 -基于数组实现,保存元素的数组使用 transient 修饰,该关键字声明数组默认不会被序列化。ArrayList 具有动态扩容特性,因此保存元素的数组不一定都会被使用,那么就没必要全部进行序列化。ArrayList 重写了 writeObject() 和 readObject() 来控制只序列化数组中有元素填充那部分内容。 +ArrayList 基于数组实现,并且具有动态扩容特性,因此保存元素的数组不一定都会被使用,那么就没必要全部进行序列化。 + +保存元素的数组 elementData 使用 transient 修饰,该关键字声明数组默认不会被序列化。ArrayList 重写了 writeObject() 和 readObject() 来控制只序列化数组中有元素填充那部分内容。 ```java transient Object[] elementData; // non-private to simplify nested class access @@ -174,7 +177,7 @@ private void grow(int minCapacity) { ### 4. 删除元素 -需要调用 System.arraycopy() 将 index+1 后面的元素都复制到 index 位置上。 +需要调用 System.arraycopy() 将 index+1 后面的元素都复制到 index 位置上,该操作的时间复杂度为 O(N),可以看出 ArrayList 删除元素的代价是非常高的。 ```java public E remove(int index) { @@ -311,7 +314,7 @@ CopyOnWriteArrayList 在写操作的同时允许读操作,大大提高了读 ### 1. 概览 -基于双向链表实现,内部使用 Node 来存储链表节点信息。 +基于双向链表实现,使用 Node 存储链表节点信息。 ```java private static class Node { @@ -328,7 +331,7 @@ transient Node first; transient Node last; ``` -

+

### 2. ArrayList 与 LinkedList @@ -474,7 +477,7 @@ public V put(K key, V value) { } ``` -HashMap 允许插入键为 null 的键值对。因为无法调用 null 的 hashCode(),也就无法确定该键值对的桶下标,只能通过强制指定一个桶下标来存放。HashMap 使用第 0 个桶存放键为 null 的键值对。 +HashMap 允许插入键为 null 的键值对。但是因为无法调用 null 的 hashCode() 方法,也就无法确定该键值对的桶下标,只能通过强制指定一个桶下标来存放。HashMap 使用第 0 个桶存放键为 null 的键值对。 ```java private V putForNullKey(V value) { @@ -601,10 +604,10 @@ static int indexFor(int h, int length) { | 参数 | 含义 | | :--: | :-- | -| capacity | table 的容量大小,默认为 16,需要注意的是 capacity 必须保证为 2 的 n 次方。| +| capacity | table 的容量大小,默认为 16。需要注意的是 capacity 必须保证为 2 的 n 次方。| | size | table 的实际使用量。 | | threshold | size 的临界值,size 必须小于 threshold,如果大于等于,就必须进行扩容操作。 | -| load_factor | 装载因子,table 能够使用的比例,threshold = capacity * load_factor。| +| loadFactor | 装载因子,table 能够使用的比例,threshold = capacity * loadFactor。| ```java static final int DEFAULT_INITIAL_CAPACITY = 16; @@ -851,7 +854,7 @@ public int size() { ### 3. JDK 1.8 的改动 -JDK 1.7 使用分段锁机制来实现并发更新操作,核心类为 Segment,它继承自重入锁 ReentrantLock,并发程度与 Segment 数量相等。 +JDK 1.7 使用分段锁机制来实现并发更新操作,核心类为 Segment,它继承自重入锁 ReentrantLock,并发度与 Segment 数量相等。 JDK 1.8 使用了 CAS 操作来支持更高的并发度,在 CAS 操作失败时使用内置锁 synchronized。 @@ -867,7 +870,7 @@ JDK 1.8 使用了 CAS 操作来支持更高的并发度,在 CAS 操作失败 public class LinkedHashMap extends HashMap implements Map ``` -内存维护了一个双向循环链表,用来维护插入顺序或者 LRU 顺序。 +内存维护了一个双向链表,用来维护插入顺序或者 LRU 顺序。 ```java /** @@ -881,13 +884,13 @@ transient LinkedHashMap.Entry head; transient LinkedHashMap.Entry tail; ``` -顺序使用 accessOrder 来决定,默认为 false,此时使用的是插入顺序。 +accessOrder 决定了顺序,默认为 false,此时使用的是插入顺序。 ```java final boolean accessOrder; ``` -LinkedHashMap 最重要的是以下用于记录顺序的函数,它们会在 put、get 等方法中调用。 +LinkedHashMap 最重要的是以下用于维护顺序的函数,它们会在 put、get 等方法中调用。 ```java void afterNodeAccess(Node p) { } @@ -896,7 +899,7 @@ void afterNodeInsertion(boolean evict) { } ### afterNodeAccess() -当一个 Node 被访问时,如果 accessOrder 为 true,会将它移到链表尾部。也就是说指定为 LRU 顺序之后,在每次访问一个节点时,会将这个节点移到链表尾部,保证链表尾部是最近访问的节点,那么链表首部就是最近最久未使用的节点。 +当一个节点被访问时,如果 accessOrder 为 true,则会将 该节点移到链表尾部。也就是说指定为 LRU 顺序之后,在每次访问一个节点时,会将这个节点移到链表尾部,保证链表尾部是最近访问的节点,那么链表首部就是最近最久未使用的节点。 ```java void afterNodeAccess(Node e) { // move node to last @@ -951,7 +954,11 @@ protected boolean removeEldestEntry(Map.Entry eldest) { ### LRU 缓存 -以下是使用 LinkedHashMap 实现的一个 LRU 缓存,设定最大缓存空间 MAX_ENTRIES 为 3。使用 LinkedHashMap 的构造函数将 accessOrder 设置为 true,开启 LUR 顺序。覆盖 removeEldestEntry() 方法实现,在节点多于 MAX_ENTRIES 就会将最近最久未使用的数据移除。 +以下是使用 LinkedHashMap 实现的一个 LRU 缓存: + +- 设定最大缓存空间 MAX_ENTRIES 为 3; +- 使用 LinkedHashMap 的构造函数将 accessOrder 设置为 true,开启 LUR 顺序; +- 覆盖 removeEldestEntry() 方法实现,在节点多于 MAX_ENTRIES 就会将最近最久未使用的数据移除。 ```java class LRUCache extends LinkedHashMap { @@ -1002,7 +1009,9 @@ Tomcat 中的 ConcurrentCache 就使用了 WeakHashMap 来实现缓存功能。 ConcurrentCache 采取的是分代缓存: - 经常使用的对象放入 eden 中,eden 使用 ConcurrentHashMap 实现,不用担心会被回收(伊甸园); -- 不常用的对象放入 longterm,longterm 使用 WeakHashMap 实现,用来存放比较老的对象,这些老对象会被垃圾收集器回收。 +- 不常用的对象放入 longterm,longterm 使用 WeakHashMap 实现,这些老对象会被垃圾收集器回收。 +- 当调用 get() 方法时,会先从 eden 区获取,如果没有找到的话再到 longterm 获取,当从 longterm 获取到就把对象放入 eden 中,保证频繁被访问的节点不容易被回收。 +- 当调用 put() 方法时,如果缓存当前容量大小超过了 size,那么就将 eden 中的所有对象都放入 longterm 中,利用虚拟机回收掉一部分不经常使用的对象。 ```java public final class ConcurrentCache { @@ -1039,6 +1048,90 @@ public final class ConcurrentCache { } ``` +# 附录 + +Collection 绘图源码: + +``` +@startuml + +interface Collection +interface Set +interface List +interface Queue +interface SortSet + +class HashSet +class LinkedHashSet +class TreeSet +class ArrayList +class Vector +class LinkedList +class PriorityQueue + + +Collection <|-- Set +Collection <|-- List +Collection <|-- Queue +Set <|-- SortSet + +Set <|.. HashSet +Set <|.. LinkedHashSet +SortSet <|.. TreeSet +List <|.. ArrayList +List <|.. Vector +List <|.. LinkeList +Queue <|.. LinkedList +Queue <|.. PriorityQueue + +@enduml +``` + +Map 绘图源码 + +``` +@startuml + +interface Map +interface SortMap + +class HashTable +class LinkedHashMap +class HashMap +class TreeMap + +Map <|.. HashTable +Map <|.. LinkedHashMap +Map <|.. HashMap +Map <|-- SortMap +SortMap <|.. TreeMap + +@enduml +``` + +迭代器类图 + +``` +@startuml + +interface Iterable +interface Collection +interface List +interface Set +interface Queue +interface Iterator +interface ListIterator + +Iterable <|-- Collection +Collection <|.. List +Collection <|.. Set +Collection <|-- Queue +Iterator <-- Iterable +Iterator <|.. ListIterator +ListIterator <-- List + +@enduml +``` # 参考资料 diff --git a/notes/算法.md b/notes/算法.md index f440111c..fb878742 100644 --- a/notes/算法.md +++ b/notes/算法.md @@ -2050,7 +2050,7 @@ public class SparseVector { 如果只有一个圆盘,那么只需要进行一次移动操作。 -从上面的讨论可以知道,an = 2 * an-1 + 1,显然an = 2n - 1,n 圆盘需要移动 2n - 1 次。 +从上面的讨论可以知道,an = 2 * an-1 + 1,显然 an = 2n - 1,n 个圆盘需要移动 2n - 1 次。

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z!qU|{j@92#57|SvD|{^=YI#4xk`%72;_0Kp{v#;`&U8SBpk^qwR{Wh{QVI384k(4@ ztRv=82memn25dYOOqC#qrVL>FF0jw;jIU+2=M|QPo6h1Z18y(ZN-&k1*_k^BSL4K+ zS5sj!=K(UvL$!a)AfF@K{sl;~c6tOPQ4z#JI|*Ud!tm&R{(6$vgNG!8a>|^C9C@hI zVX@03&JY%ly6ovH_=`DsfAaS?^s>V~i-3Hb0>fCA^*=l-3c>D~07eRxO5{Ws4M2aP zQrQguv(!x2ZUqZdFeuc2^E8eJqDTAf1JAGy$~0Tfk9y-9spk85$)PkZM^o13`Di{Pz*jJxx?jqO4ie zssCdd79#HA!aau$#IP%(Eg}b`NLH1c(Qp6ScxPwlFxzDrWfcf9)SuK>x4(KNgt(|Ly<(06K+wNdN!< literal 0 HcmV?d00001 From cc5277542918f37e8cf415c9952b6bd71a3cf93d Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=83=91=E6=B0=B8=E5=B7=9D?= <1029579233@qq.com> Date: Sun, 5 Aug 2018 15:30:38 +0800 Subject: [PATCH 03/20] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 39b43f30..9bdb297b 100644 --- a/README.md +++ b/README.md @@ -89,7 +89,7 @@ Leetcode 上数据库题目的解题记录。 > [Java 容器](https://github.com/CyC2018/InnterviewNotes/blob/master/notes/Java%20容器.md) -源码分析:ArrayListVector、CopyOnWriteArrayList、LinkedList、HashMap、ConcurrentHashMap、LinkedHashMap、WeekHashMap。 +源码分析:ArrayList、Vector、CopyOnWriteArrayList、LinkedList、HashMap、ConcurrentHashMap、LinkedHashMap、WeekHashMap。 > [Java 并发](https://github.com/CyC2018/InnterviewNotes/blob/master/notes/Java%20并发.md) From eace8369dd11d548c5a57491bbeee4d439ef18bb Mon Sep 17 00:00:00 2001 From: CyC2018 <1029579233@qq.com> Date: Sun, 5 Aug 2018 16:35:58 +0800 Subject: [PATCH 04/20] auto commit --- notes/Java IO.md | 123 ++++++++++++++++++++++++++++++----------------- 1 file changed, 80 insertions(+), 43 deletions(-) diff --git a/notes/Java IO.md b/notes/Java IO.md index 08dc80f4..d93ff47c 100644 --- a/notes/Java IO.md +++ b/notes/Java IO.md @@ -40,8 +40,7 @@ File 类可以用于表示文件和目录的信息,但是它不表示文件的 递归地输出一个目录下所有文件: ```java -public static void listAllFiles(File dir) -{ +public static void listAllFiles(File dir) { if (dir == null || !dir.exists()) { return; } @@ -60,8 +59,7 @@ public static void listAllFiles(File dir) 使用字节流操作进行文件复制: ```java -public static void copyFile(String src, String dist) throws IOException -{ +public static void copyFile(String src, String dist) throws IOException { FileInputStream in = new FileInputStream(src); FileOutputStream out = new FileOutputStream(dist); byte[] buffer = new byte[20 * 1024]; @@ -78,7 +76,11 @@ public static void copyFile(String src, String dist) throws IOException

-Java I/O 使用了装饰者模式来实现。以 InputStream 为例,InputStream 是抽象组件,FileInputStream 是 InputStream 的子类,属于具体组件,提供了字节流的输入操作。FilterInputStream 属于抽象装饰者,装饰者用于装饰组件,为组件提供额外的功能,例如 BufferedInputStream 为 FileInputStream 提供缓存的功能。 +Java I/O 使用了装饰者模式来实现。以 InputStream 为例, + +- InputStream 是抽象组件; +- FileInputStream 是 InputStream 的子类,属于具体组件,提供了字节流的输入操作; +- FilterInputStream 属于抽象装饰者,装饰者用于装饰组件,为组件提供额外的功能,例如 BufferedInputStream 为 FileInputStream 提供缓存的功能。 实例化一个具有缓存功能的字节流对象时,只需要在 FileInputStream 对象上再套一层 BufferedInputStream 对象即可。 @@ -99,8 +101,7 @@ DataInputStream 装饰者提供了对更多数据类型进行输入的操作, 逐行输出文本文件的内容: ```java -public static void readFileContent(String filePath) throws IOException -{ +public static void readFileContent(String filePath) throws IOException { FileReader fileReader = new FileReader(filePath); BufferedReader bufferedReader = new BufferedReader(fileReader); String line; @@ -126,7 +127,7 @@ UTF-16be 中的 be 指的是 Big Endian,也就是大端。相应地也有 UTF- Java 使用双字节编码 UTF-16be,这不是指 Java 只支持这一种编码方式,而是说 char 这种类型使用 UTF-16be 进行编码。char 类型占 16 位,也就是两个字节,Java 使用这种双字节编码是为了让一个中文或者一个英文都能使用一个 char 来存储。 -String 可以看成一个字符序列,可以指定一个编码方式将它转换为字节序列,也可以指定一个编码方式将一个字节序列转换为 String。 +String 可以看成一个字符序列,可以指定一个编码方式将它编码为字节序列,也可以指定一个编码方式将一个字节序列解码为 String。 ```java String str1 = "中文"; @@ -151,8 +152,7 @@ byte[] bytes = str1.getBytes(); 序列化的类需要实现 Serializable 接口,它只是一个标准,没有任何方法需要实现,但是如果不去实现它的话而进行序列化,会抛出异常。 ```java -public static void main(String[] args) throws IOException, ClassNotFoundException -{ +public static void main(String[] args) throws IOException, ClassNotFoundException { A a1 = new A(123, "abc"); String objectFile = "file/a1"; ObjectOutputStream objectOutputStream = new ObjectOutputStream(new FileOutputStream(objectFile)); @@ -188,7 +188,7 @@ private static class A implements Serializable transient 关键字可以使一些属性不会被序列化。 -**ArrayList 序列化和反序列化的实现** :ArrayList 中存储数据的数组是用 transient 修饰的,因为这个数组是动态扩展的,并不是所有的空间都被使用,因此就不需要所有的内容都被序列化。通过重写序列化和反序列化方法,使得可以只序列化数组中有内容的那部分数据。 +ArrayList 中存储数据的数组是用 transient 修饰的,因为这个数组是动态扩展的,并不是所有的空间都被使用,因此就不需要所有的内容都被序列化。通过重写序列化和反序列化方法,使得可以只序列化数组中有内容的那部分数据。 ```java private transient Object[] elementData; @@ -205,7 +205,7 @@ Java 中的网络支持: ## InetAddress -没有公有构造函数,只能通过静态方法来创建实例。 +没有公有的构造函数,只能通过静态方法来创建实例。 ```java InetAddress.getByName(String host); @@ -217,19 +217,24 @@ InetAddress.getByAddress(byte[] address); 可以直接从 URL 中读取字节流数据。 ```java -public static void main(String[] args) throws IOException -{ +public static void main(String[] args) throws IOException { + URL url = new URL("http://www.baidu.com"); - // 字节流 + + /* 字节流 */ InputStream is = url.openStream(); - // 字符流 + + /* 字符流 */ InputStreamReader isr = new InputStreamReader(is, "utf-8"); + + /* 提供缓存功能 */ BufferedReader br = new BufferedReader(isr); - String line = br.readLine(); - while (line != null) { + + String line; + while ((line = br.readLine()) != null) { System.out.println(line); - line = br.readLine(); } + br.close(); } ``` @@ -253,7 +258,7 @@ public static void main(String[] args) throws IOException - [Java NIO 浅析](https://tech.meituan.com/nio.html) - [IBM: NIO 入门](https://www.ibm.com/developerworks/cn/education/java/j-nio/j-nio.html) -新的输入/输出 (NIO) 库是在 JDK 1.4 中引入的。NIO 弥补了原来的 I/O 的不足,提供了高速的、面向块的 I/O。 +新的输入/输出 (NIO) 库是在 JDK 1.4 中引入的,弥补了原来的 I/O 的不足,提供了高速的、面向块的 I/O。 ## 流与块 @@ -271,7 +276,7 @@ I/O 包和 NIO 已经很好地集成了,java.io.\* 已经以 NIO 为基础重 通道 Channel 是对原 I/O 包中的流的模拟,可以通过它读取和写入数据。 -通道与流的不同之处在于,流只能在一个方向上移动,(一个流必须是 InputStream 或者 OutputStream 的子类),而通道是双向的,可以用于读、写或者同时用于读写。 +通道与流的不同之处在于,流只能在一个方向上移动(一个流必须是 InputStream 或者 OutputStream 的子类),而通道是双向的,可以用于读、写或者同时用于读写。 通道包括以下类型: @@ -329,21 +334,41 @@ I/O 包和 NIO 已经很好地集成了,java.io.\* 已经以 NIO 为基础重 以下展示了使用 NIO 快速复制文件的实例: ```java -public static void fastCopy(String src, String dist) throws IOException -{ - FileInputStream fin = new FileInputStream(src); /* 获取源文件的输入字节流 */ - FileChannel fcin = fin.getChannel(); /* 获取输入字节流的文件通道 */ - FileOutputStream fout = new FileOutputStream(dist); /* 获取目标文件的输出字节流 */ - FileChannel fcout = fout.getChannel(); /* 获取输出字节流的通道 */ - ByteBuffer buffer = ByteBuffer.allocateDirect(1024); /* 为缓冲区分配 1024 个字节 */ +public static void fastCopy(String src, String dist) throws IOException { + + /* 获得源文件的输入字节流 */ + FileInputStream fin = new FileInputStream(src); + + /* 获取输入字节流的文件通道 */ + FileChannel fcin = fin.getChannel(); + + /* 获取目标文件的输出字节流 */ + FileOutputStream fout = new FileOutputStream(dist); + + /* 获取输出字节流的通道 */ + FileChannel fcout = fout.getChannel(); + + /* 为缓冲区分配 1024 个字节 */ + ByteBuffer buffer = ByteBuffer.allocateDirect(1024); + while (true) { - int r = fcin.read(buffer); /* 从输入通道中读取数据到缓冲区中 */ - if (r == -1) { /* read() 返回 -1 表示 EOF */ + + /* 从输入通道中读取数据到缓冲区中 */ + int r = fcin.read(buffer); + + /* read() 返回 -1 表示 EOF */ + if (r == -1) { break; } - buffer.flip(); /* 切换读写 */ - fcout.write(buffer); /* 把缓冲区的内容写入输出文件中 */ - buffer.clear(); /* 清空缓冲区 */ + + /* 切换读写 */ + buffer.flip(); + + /* 把缓冲区的内容写入输出文件中 */ + fcout.write(buffer); + + /* 清空缓冲区 */ + buffer.clear(); } } ``` @@ -448,10 +473,10 @@ while (true) { ## 套接字 NIO 实例 ```java -public class NIOServer -{ - public static void main(String[] args) throws IOException - { +public class NIOServer { + + public static void main(String[] args) throws IOException { + Selector selector = Selector.open(); ServerSocketChannel ssChannel = ServerSocketChannel.open(); @@ -463,32 +488,45 @@ public class NIOServer serverSocket.bind(address); while (true) { + selector.select(); Set keys = selector.selectedKeys(); Iterator keyIterator = keys.iterator(); + while (keyIterator.hasNext()) { + SelectionKey key = keyIterator.next(); + if (key.isAcceptable()) { + ServerSocketChannel ssChannel1 = (ServerSocketChannel) key.channel(); + // 服务器会为每个新连接创建一个 SocketChannel SocketChannel sChannel = ssChannel1.accept(); sChannel.configureBlocking(false); + // 这个新连接主要用于从客户端读取数据 sChannel.register(selector, SelectionKey.OP_READ); + } else if (key.isReadable()) { + SocketChannel sChannel = (SocketChannel) key.channel(); System.out.println(readDataFromSocketChannel(sChannel)); sChannel.close(); } + keyIterator.remove(); } } } private static String readDataFromSocketChannel(SocketChannel sChannel) throws IOException { + ByteBuffer buffer = ByteBuffer.allocate(1024); StringBuilder data = new StringBuilder(); + while (true) { + buffer.clear(); int n = sChannel.read(buffer); if (n == -1) { @@ -509,10 +547,9 @@ public class NIOServer ``` ```java -public class NIOClient -{ - public static void main(String[] args) throws IOException - { +public class NIOClient { + + public static void main(String[] args) throws IOException { Socket socket = new Socket("127.0.0.1", 8888); OutputStream out = socket.getOutputStream(); String s = "hello world"; @@ -526,9 +563,9 @@ public class NIOClient 内存映射文件 I/O 是一种读和写文件数据的方法,它可以比常规的基于流或者基于通道的 I/O 快得多。 -向内存映射文件写入可能是危险的,仅只是改变数组的单个元素这样的简单操作,就可能会直接修改磁盘上的文件。修改数据与将数据保存到磁盘是没有分开的。 +向内存映射文件写入可能是危险的,只是改变数组的单个元素这样的简单操作,就可能会直接修改磁盘上的文件。修改数据与将数据保存到磁盘是没有分开的。 -下面代码行将文件的前 1024 个字节映射到内存中,map() 方法返回一个 MappedByteBuffer,它是 ByteBuffer 的子类。因此,您可以像使用其他任何 ByteBuffer 一样使用新映射的缓冲区,操作系统会在需要时负责执行映射。 +下面代码行将文件的前 1024 个字节映射到内存中,map() 方法返回一个 MappedByteBuffer,它是 ByteBuffer 的子类。因此,可以像使用其他任何 ByteBuffer 一样使用新映射的缓冲区,操作系统会在需要时负责执行映射。 ```java MappedByteBuffer mbb = fc.map(FileChannel.MapMode.READ_WRITE, 0, 1024); From bd3f5ca2437cc75f6dc1634255e72fd7a1e55091 Mon Sep 17 00:00:00 2001 From: aikin <1@aikin.me> Date: Sun, 5 Aug 2018 17:36:53 +0800 Subject: [PATCH 05/20] =?UTF-8?q?add=20refactoring=20kata=20into=20?= =?UTF-8?q?=E9=87=8D=E6=9E=84.md?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- notes/重构.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/notes/重构.md b/notes/重构.md index 9a3242ba..72021355 100644 --- a/notes/重构.md +++ b/notes/重构.md @@ -107,6 +107,7 @@ * [10. 塑造模板函数](#10-塑造模板函数) * [11. 以委托取代继承](#11-以委托取代继承) * [12. 以继承取代委托](#12-以继承取代委托) +* [练习重构的栗子](#练习重构的栗子) * [参考资料](#参考资料) @@ -1415,6 +1416,10 @@ public Manager(String name, String id, int grade) { 让委托类继承受托类。 + +# 练习重构的栗子 +* [Refactoring Kata](https://github.com/aikin/refactoring-kata) + # 参考资料 - MartinFowler, 福勒, 贝克, 等. 重构: 改善既有代码的设计 [M]. 电子工业出版社, 2011. From 1366a2e149d4a2cc9b4af30fea91a7af40d3f497 Mon Sep 17 00:00:00 2001 From: CyC2018 <1029579233@qq.com> Date: Sun, 5 Aug 2018 17:37:04 +0800 Subject: [PATCH 06/20] auto commit --- notes/Java IO.md | 12 ++++++------ notes/计算机网络.md | 26 +++++++++++++++----------- 2 files changed, 21 insertions(+), 17 deletions(-) diff --git a/notes/Java IO.md b/notes/Java IO.md index d93ff47c..1e3aedcd 100644 --- a/notes/Java IO.md +++ b/notes/Java IO.md @@ -60,15 +60,18 @@ public static void listAllFiles(File dir) { ```java public static void copyFile(String src, String dist) throws IOException { + FileInputStream in = new FileInputStream(src); FileOutputStream out = new FileOutputStream(dist); byte[] buffer = new byte[20 * 1024]; + // read() 最多读取 buffer.length 个字节 // 返回的是实际读取的个数 // 返回 -1 的时候表示读到 eof,即文件尾 while (in.read(buffer, 0, buffer.length) != -1) { out.write(buffer); } + in.close(); out.close(); } @@ -165,20 +168,17 @@ public static void main(String[] args) throws IOException, ClassNotFoundExceptio System.out.println(a2); } -private static class A implements Serializable -{ +private static class A implements Serializable { private int x; private String y; - A(int x, String y) - { + A(int x, String y) { this.x = x; this.y = y; } @Override - public String toString() - { + public String toString() { return "x = " + x + " " + "y = " + y; } } diff --git a/notes/计算机网络.md b/notes/计算机网络.md index f1460844..9b213d74 100644 --- a/notes/计算机网络.md +++ b/notes/计算机网络.md @@ -91,7 +91,7 @@ 每个分组都有首部和尾部,包含了源地址和目的地址等控制信息,在同一个传输线路上同时传输多个分组互相不会影响,因此在同一条传输线路上允许同时传输多个分组,也就是说分组交换不需要占用传输线路。 -考虑在一个邮局通信系统中,邮局收到一份邮件之后,先存储下来,然后把相同目的地的邮件一起转发到下一个目的地,这个过程就是存储转发过程,分组交换也使用了存储转发过程。 +在一个邮局通信系统中,邮局收到一份邮件之后,先存储下来,然后把相同目的地的邮件一起转发到下一个目的地,这个过程就是存储转发过程,分组交换也使用了存储转发过程。 ## 时延 @@ -109,11 +109,11 @@ ### 2. 传播时延 -电磁波在信道中传播一定的距离需要花费的时间,电磁波传播速度接近光速。 +电磁波在信道中传播所需要花费的时间,电磁波传播的速度接近光速。

-其中 l 表示信道长度,v 表示电磁波在信道上的传播速率。 +其中 l 表示信道长度,v 表示电磁波在信道上的传播速度。 ### 3. 处理时延 @@ -135,7 +135,7 @@ - **网络层** :为主机间提供数据传输服务,而运输层协议是为主机中的进程提供服务。网络层把运输层传递下来的报文段或者用户数据报封装成分组。 -- **数据链路层** :网络层针对的还是主机之间的数据传输服务,而主机之间可以有很多链路,链路层协议就是为同一链路的节点提供服务。数据链路层把网络层传来的分组封装成帧。 +- **数据链路层** :网络层针对的还是主机之间的数据传输服务,而主机之间可以有很多链路,链路层协议就是为同一链路的主机提供服务。数据链路层把网络层传下来的分组封装成帧。 - **物理层** :考虑的是怎样在传输媒体上传输数据比特流,而不是指具体的传输媒体。物理层的作用是尽可能屏蔽传输媒体和通信手段的差异,使数据链路层感觉不到这些差异。 @@ -153,7 +153,7 @@ 它只有四层,相当于五层协议中数据链路层和物理层合并为网络接口层。 -现在的 TCP/IP 体系结构不严格遵循 OSI 分层概念,应用层可能会直接使用 IP 层或者网络接口层。 +TCP/IP 体系结构不严格遵循 OSI 分层概念,应用层可能会直接使用 IP 层或者网络接口层。

@@ -314,7 +314,7 @@ MAC 地址是链路层地址,长度为 6 字节(48 位),用于唯一标 主要有以太网、令牌环网、FDDI 和 ATM 等局域网技术,目前以太网占领着有线局域网市场。 -可以按照网络拓结构扑对局域网进行分类: +可以按照网络拓扑结构对局域网进行分类:

@@ -322,9 +322,9 @@ MAC 地址是链路层地址,长度为 6 字节(48 位),用于唯一标 以太网是一种星型拓扑结构局域网。 -早期使用集线器进行连接。集线器是一种物理层设备,作用于比特而不是帧,当一个比特到达接口时,集线器重新生成这个比特,并将其能量强度放大,从而扩大网络的传输距离。之后再将这个比特发送到其它所有接口。如果集线器同时收到同时从两个不同接口的帧,那么就发生了碰撞。 +早期使用集线器进行连接,集线器是一种物理层设备,作用于比特而不是帧,当一个比特到达接口时,集线器重新生成这个比特,并将其能量强度放大,从而扩大网络的传输距离,之后再将这个比特发送到其它所有接口。如果集线器同时收到同时从两个不同接口的帧,那么就发生了碰撞。 -目前以太网使用交换机替代了集线器。交换机是一种链路层设备,它不会发生碰撞,能根据 MAC 地址进行存储转发。 +目前以太网使用交换机替代了集线器,交换机是一种链路层设备,它不会发生碰撞,能根据 MAC 地址进行存储转发。 以太网帧格式: @@ -337,7 +337,9 @@ MAC 地址是链路层地址,长度为 6 字节(48 位),用于唯一标 ## 交换机* -交换机具有自学习能力,学习的是交换表的内容,交换表中存储着 MAC 地址到接口的映射。正是由于这种自学习能力,因此交换机是一种即插即可即用设备,不需要网络管理员手动配置交换表内容。 +交换机具有自学习能力,学习的是交换表的内容,交换表中存储着 MAC 地址到接口的映射。 + +正是由于这种自学习能力,因此交换机是一种即插即用设备,不需要网络管理员手动配置交换表内容。 下图中,交换机有 4 个接口,主机 A 向主机 B 发送数据帧时,交换机把主机 A 到接口 1 的映射写入交换表中。为了发送数据帧到 B,先查交换表,此时没有主机 B 的表项,那么主机 A 就发送广播帧,主机 C 和主机 D 会丢弃该帧。主机 B 收下之后,查找交换表得到主机 A 映射的接口为 1,就发送数据帧到接口 1,同时交换机添加主机 B 到接口 3 的映射。 @@ -345,9 +347,11 @@ MAC 地址是链路层地址,长度为 6 字节(48 位),用于唯一标 ## 虚拟局域网 -虚拟局域网可以建立与物理位置无关的逻辑组,只有在同一个虚拟局域网中的成员才会收到链路层广播信息。例如下图中 (A1, A2, A3, A4) 属于一个虚拟局域网,A1 发送的广播会被 A2、A3、A4 收到,而其它站点收不到。 +虚拟局域网可以建立与物理位置无关的逻辑组,只有在同一个虚拟局域网中的成员才会收到链路层广播信息。 -使用 VLAN 干线连接来建立虚拟局域网,每台交换机上的一个特殊端口被设置为干线端口,以互连 VLAN 交换机。IEEE 定义了一种扩展的以太网帧格式 802.1Q,它在标准以太网帧上加进了 4 字节首部 VLAN 标签,用于表示该帧属于哪一个虚拟局域网。 +例如下图中 (A1, A2, A3, A4) 属于一个虚拟局域网,A1 发送的广播会被 A2、A3、A4 收到,而其它站点收不到。 + +使用 VLAN 干线连接来建立虚拟局域网,每台交换机上的一个特殊接口被设置为干线接口,以互连 VLAN 交换机。IEEE 定义了一种扩展的以太网帧格式 802.1Q,它在标准以太网帧上加进了 4 字节首部 VLAN 标签,用于表示该帧属于哪一个虚拟局域网。

From 6e9e1d675e8eb961516637b052164f4841995ec4 Mon Sep 17 00:00:00 2001 From: CyC2018 <1029579233@qq.com> Date: Mon, 6 Aug 2018 00:13:34 +0800 Subject: [PATCH 07/20] auto commit --- notes/分布式.md | 10 ++++------ notes/系统设计基础.md | 4 ++-- notes/重构.md | 5 +++++ 3 files changed, 11 insertions(+), 8 deletions(-) diff --git a/notes/分布式.md b/notes/分布式.md index 0f136855..c048b43e 100644 --- a/notes/分布式.md +++ b/notes/分布式.md @@ -61,7 +61,7 @@ EXPIRE 指令可以为一个键值对设置一个过期时间,从而避免了 - 尝试从 N 个相互独立 Redis 实例获取锁,如果一个实例不可用,应该尽快尝试下一个; - 计算获取锁消耗的时间,只有当这个时间小于锁的过期时间,并且从大多数(N / 2 + 1)实例上获取了锁,那么就认为锁获取成功了; -- 如果锁获取失败,会到每个实例上释放锁。 +- 如果锁获取失败,就到每个实例上释放锁。 ## Zookeeper 的有序节点 @@ -124,9 +124,7 @@ Zookeeper 提供了一种树形结构级的命名空间,/app1/p_1 节点表示 ## 2PC -两阶段提交(Two-phase Commit,2PC) - -通过引入协调者(Coordinator)来协调参与者的行为,并最终决定这些参与者是否要真正执行事务。 +两阶段提交(Two-phase Commit,2PC),通过引入协调者(Coordinator)来协调参与者的行为,并最终决定这些参与者是否要真正执行事务。 ### 1. 运行过程 @@ -152,7 +150,7 @@ Zookeeper 提供了一种树形结构级的命名空间,/app1/p_1 节点表示 (二)单点问题 -协调者在 2PC 中起到非常大的作用,发生故障将会造成很大影响,特别是在阶段二发生故障,所有参与者会一直等待状态,无法完成其它操作。 +协调者在 2PC 中起到非常大的作用,发生故障将会造成很大影响。特别是在阶段二发生故障,所有参与者会一直等待状态,无法完成其它操作。 (三)数据不一致 @@ -214,7 +212,7 @@ Zookeeper 提供了一种树形结构级的命名空间,/app1/p_1 节点表示 BASE 是基本可用(Basically Available)、软状态(Soft State)和最终一致性(Eventually Consistent)三个短语的缩写。 -BASE 理论是对 CAP 中一致性和可用性权衡的结果,它的理论的核心思想是:即使无法做到强一致性,但每个应用都可以根据自身业务特点,采用适当的方式来使系统达到最终一致性。 +BASE 理论是对 CAP 中一致性和可用性权衡的结果,它的核心思想是:即使无法做到强一致性,但每个应用都可以根据自身业务特点,采用适当的方式来使系统达到最终一致性。

diff --git a/notes/系统设计基础.md b/notes/系统设计基础.md index e132aa2c..40f0ca9d 100644 --- a/notes/系统设计基础.md +++ b/notes/系统设计基础.md @@ -13,7 +13,7 @@ ### 1. 响应时间 -指从某个请求发出到接收到响应消耗的时间。 +指从某个请求从发出到接收到响应消耗的时间。 在对响应时间进行测试时,通常采用重复请求方式,然后计算平均响应时间。 @@ -79,7 +79,7 @@ 实现可扩展主要有两种方式: - 使用消息队列进行解耦,应用之间通过消息传递的方式进行通信; -- 使用分布式服务将业务和可复用的服务分离开来,业务使用分布式服务器框架调用可复用的服务。新增的产品可以用过调用可复用的服务来实现业务逻辑,对其它产品没有影响。 +- 使用分布式服务将业务和可复用的服务分离开来,业务使用分布式服务框架调用可复用的服务。新增的产品可以用过调用可复用的服务来实现业务逻辑,对其它产品没有影响。 # 四、可用性 diff --git a/notes/重构.md b/notes/重构.md index 9a3242ba..b5a834e0 100644 --- a/notes/重构.md +++ b/notes/重构.md @@ -107,6 +107,7 @@ * [10. 塑造模板函数](#10-塑造模板函数) * [11. 以委托取代继承](#11-以委托取代继承) * [12. 以继承取代委托](#12-以继承取代委托) +* [重构练习](#重构练习) * [参考资料](#参考资料) @@ -1415,6 +1416,10 @@ public Manager(String name, String id, int grade) { 让委托类继承受托类。 +# 重构练习 + +- [Refactoring Kata](https://github.com/aikin/refactoring-kata) + # 参考资料 - MartinFowler, 福勒, 贝克, 等. 重构: 改善既有代码的设计 [M]. 电子工业出版社, 2011. From 4bee3f40f5650a356719a6b3de9e471df5a092d1 Mon Sep 17 00:00:00 2001 From: CyC2018 <1029579233@qq.com> Date: Mon, 6 Aug 2018 00:17:57 +0800 Subject: [PATCH 08/20] auto commit --- notes/重构.md | 10 ---------- 1 file changed, 10 deletions(-) diff --git a/notes/重构.md b/notes/重构.md index abdd99bd..b5a834e0 100644 --- a/notes/重构.md +++ b/notes/重构.md @@ -107,11 +107,7 @@ * [10. 塑造模板函数](#10-塑造模板函数) * [11. 以委托取代继承](#11-以委托取代继承) * [12. 以继承取代委托](#12-以继承取代委托) -<<<<<<< HEAD * [重构练习](#重构练习) -======= -* [练习重构的栗子](#练习重构的栗子) ->>>>>>> e6475eb3bca6dc610b1db681f91da9d266151e0a * [参考资料](#参考资料) @@ -1420,15 +1416,9 @@ public Manager(String name, String id, int grade) { 让委托类继承受托类。 -<<<<<<< HEAD # 重构练习 - [Refactoring Kata](https://github.com/aikin/refactoring-kata) -======= - -# 练习重构的栗子 -* [Refactoring Kata](https://github.com/aikin/refactoring-kata) ->>>>>>> e6475eb3bca6dc610b1db681f91da9d266151e0a # 参考资料 From ea1c200cde84c393a5d1502bc38ce97f295fb4aa Mon Sep 17 00:00:00 2001 From: CyC2018 <1029579233@qq.com> Date: Mon, 6 Aug 2018 00:29:53 +0800 Subject: [PATCH 09/20] auto commit --- notes/集群.md | 40 ++++++++++++++++++++++++++-------------- 1 file changed, 26 insertions(+), 14 deletions(-) diff --git a/notes/集群.md b/notes/集群.md index b36a0bfe..717ae637 100644 --- a/notes/集群.md +++ b/notes/集群.md @@ -3,7 +3,7 @@ * [算法实现](#算法实现) * [转发实现](#转发实现) * [二、集群下的 Session 管理](#二集群下的-session-管理) - * [Sticky Sessions](#sticky-sessions) + * [Sticky Session](#sticky-session) * [Session Replication](#session-replication) * [Session Server](#session-server) @@ -22,14 +22,16 @@ 负载均衡运行过程包含两个部分: -1. 根据负载均衡算法得到应该将请求转发到哪个节点上; +1. 根据负载均衡算法得到请求转发的节点; 2. 将请求进行转发; ## 算法实现 ### 1. 轮询(Round Robin) -轮询算法把每个请求轮流发送到每个服务器上。下图中,一共有 6 个客户端产生了 6 个请求,这 6 个请求按 (1, 2, 3, 4, 5, 6) 的顺序发送。最后,(1, 3, 5) 的请求会被发送到服务器 1,(2, 4, 6) 的请求会被发送到服务器 2。 +轮询算法把每个请求轮流发送到每个服务器上。 + +下图中,一共有 6 个客户端产生了 6 个请求,这 6 个请求按 (1, 2, 3, 4, 5, 6) 的顺序发送。最后,(1, 3, 5) 的请求会被发送到服务器 1,(2, 4, 6) 的请求会被发送到服务器 2。

@@ -39,17 +41,23 @@ ### 2. 加权轮询(Weighted Round Robbin) -加权轮询是在轮询的基础上,根据服务器的性能差异,为服务器赋予一定的权值,性能高的服务器分配更高的权值。例如下图中,服务器 1 被赋予的权值为 5,服务器 2 被赋予的权值为 1,那么 (1, 2, 3, 4, 5) 请求会被发送到服务器 1,(6) 请求会被发送到服务器 2。 +加权轮询是在轮询的基础上,根据服务器的性能差异,为服务器赋予一定的权值,性能高的服务器分配更高的权值。 + +例如下图中,服务器 1 被赋予的权值为 5,服务器 2 被赋予的权值为 1,那么 (1, 2, 3, 4, 5) 请求会被发送到服务器 1,(6) 请求会被发送到服务器 2。

### 3. 最少连接(least Connections) -由于每个请求的连接时间不一样,使用轮询或者加权轮询算法的话,可能会让一台服务器当前连接数过大,而另一台服务器的连接过小,造成负载不均衡。例如下图中,(1, 3, 5) 请求会被发送到服务器 1,但是 (1, 3) 很快就断开连接,此时只有 (5) 请求连接服务器 1;(2, 4, 6) 请求被发送到服务器 2,只有 (2) 的连接断开。该系统继续运行时,服务器 2 会承担过大的负载。 +由于每个请求的连接时间不一样,使用轮询或者加权轮询算法的话,可能会让一台服务器当前连接数过大,而另一台服务器的连接过小,造成负载不均衡。 + +例如下图中,(1, 3, 5) 请求会被发送到服务器 1,但是 (1, 3) 很快就断开连接,此时只有 (5) 请求连接服务器 1;(2, 4, 6) 请求被发送到服务器 2,只有 (2) 的连接断开。该系统继续运行时,服务器 2 会承担过大的负载。

-最少连接算法就是将请求发送给当前最少连接数的服务器上。例如下图中,服务器 1 当前连接数最小,那么新到来的请求 6 就会被发送到服务器 1 上。 +最少连接算法就是将请求发送给当前最少连接数的服务器上。 + +例如下图中,服务器 1 当前连接数最小,那么新到来的请求 6 就会被发送到服务器 1 上。

@@ -61,13 +69,17 @@ ### 5. 随机算法(Random) -把请求随机发送到服务器上。和轮询算法类似,该算法比较适合服务器性能差不多的场景。 +把请求随机发送到服务器上。 + +和轮询算法类似,该算法比较适合服务器性能差不多的场景。

### 6. 源地址哈希法 (IP Hash) -源地址哈希通过对客户端 IP 计算哈希值之后,再对服务器数量进行取模运算得到目标服务器的序号。可以保证同一 IP 的客户端的请求会转发到同一台服务器上,可以用来实现会话粘滞(Sticky Session) +源地址哈希通过对客户端 IP 计算哈希值之后,再对服务器数量取模得到目标服务器的序号。 + +可以保证同一 IP 的客户端的请求会转发到同一台服务器上,用来实现会话粘滞(Sticky Session)

@@ -96,7 +108,7 @@ HTTP 重定向负载均衡服务器使用某种负载均衡算法计算得到服 缺点: -- 由于 DNS 具有多级结构,每一级的域名记录都可能被缓存,当下线一台服务器需要修改 DNS 记录时,需要过很长一段时间才能生效; +- 由于 DNS 具有多级结构,每一级的域名记录都可能被缓存,当下线一台服务器需要修改 DNS 记录时,需要过很长一段时间才能生效。 大型网站基本使用了 DNS 做为第一级负载均衡手段,然后在内部使用其它方式做第二级负载均衡。也就是说,域名解析的结果为内部的负载均衡服务器 IP 地址。 @@ -123,7 +135,7 @@ HTTP 重定向负载均衡服务器使用某种负载均衡算法计算得到服 ### 4. 网络层 -负载均衡服务器在操作系统内核进程获取网络数据包,根据负载均衡算法计算源服务器的 IP 地址,并修改请求数据包的目的 IP 地址,最后进行转发。 +在操作系统内核进程获取网络数据包,根据负载均衡算法计算源服务器的 IP 地址,并修改请求数据包的目的 IP 地址,最后进行转发。 源服务器返回的响应也需要经过负载均衡服务器,通常是让负载均衡服务器同时作为集群的网关服务器来实现。 @@ -133,15 +145,15 @@ HTTP 重定向负载均衡服务器使用某种负载均衡算法计算得到服 缺点: -- 和反向代理一样,所有的请求和相应都经过负载均衡服务器,会成为性能瓶颈。 +- 和反向代理一样,所有的请求和响应都经过负载均衡服务器,会成为性能瓶颈。 ### 5. 链路层 在链路层根据负载均衡算法计算源服务器的 MAC 地址,并修改请求数据包的目的 MAC 地址,并进行转发。 -通过配置源服务器的虚拟 IP 地址和负载均衡服务器的 IP 地址一致,从而不需要需要 IP 地址就可以进行转发。也正因为 IP 地址一样,所以源服务器的响应不需要转发回负载均衡服务器,直接转发给客户端,避免了负载均衡服务器的成为瓶颈。这是一种三角传输模式,被称为直接路由,对于提供下载和视频服务的网站来说,直接路由避免了大量的网络传输数据经过负载均衡服务器。 +通过配置源服务器的虚拟 IP 地址和负载均衡服务器的 IP 地址一致,从而不需要修改 IP 地址就可以进行转发。也正因为 IP 地址一样,所以源服务器的响应不需要转发回负载均衡服务器,直接转发给客户端,避免了负载均衡服务器的成为瓶颈。这是一种三角传输模式,被称为直接路由,对于提供下载和视频服务的网站来说,直接路由避免了大量的网络传输数据经过负载均衡服务器。 -这是目前大型网站使用最广负载均衡转发方式,在 Linux 平台可以使用 LVS(Linux Virtual Server)。 +这是目前大型网站使用最广负载均衡转发方式,在 Linux 平台可以使用的负载均衡服务器为 LVS(Linux Virtual Server)。 参考: @@ -152,7 +164,7 @@ HTTP 重定向负载均衡服务器使用某种负载均衡算法计算得到服 一个用户的 Session 信息如果存储在一个服务器上,那么当负载均衡器把用户的下一个请求转发到另一个服务器,由于服务器没有用户的 Session 信息,那么该用户就需要重新进行登录等操作。 -## Sticky Sessions +## Sticky Session 需要配置负载均衡器,使得一个用户的所有请求都路由到同一个服务器,这样就可以把用户的 Session 存放在该服务器中。 From 64acfecb2933004474c510c80da9ce8ac74f6af8 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=83=91=E6=B0=B8=E5=B7=9D?= Date: Mon, 6 Aug 2018 16:35:34 +0800 Subject: [PATCH 10/20] Add files via upload --- other/group.jpg | Bin 114283 -> 84645 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/other/group.jpg b/other/group.jpg index cbc68eb523bc7a466b58c2130065abdb8faf9388..af2128418e53b5f858ccadb4e289ea7691e5a949 100644 GIT binary patch literal 84645 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921b50ad452432b8b6c1786c0b0ad42b7bba9614 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=83=91=E6=B0=B8=E5=B7=9D?= Date: Mon, 6 Aug 2018 16:47:19 +0800 Subject: [PATCH 13/20] Add files via upload From ccf76435f8352c85bc6834241210a6107f34ebf7 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=83=91=E6=B0=B8=E5=B7=9D?= Date: Mon, 6 Aug 2018 21:26:28 +0800 Subject: [PATCH 14/20] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 9bdb297b..2b4e688d 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ From 86c26a7cf6fecd5a5f41b6a82c7aa372f3a50556 Mon Sep 17 00:00:00 2001 From: CyC2018 <1029579233@qq.com> Date: Mon, 6 Aug 2018 22:29:40 +0800 Subject: [PATCH 15/20] auto commit --- notes/Redis.md | 15 +++++++++------ notes/SQL.md | 24 ++++++++++++------------ notes/数据库系统原理.md | 27 ++++++++++++++++++--------- notes/正则表达式.md | 39 +++++++++++++++++++-------------------- 4 files changed, 58 insertions(+), 47 deletions(-) diff --git a/notes/Redis.md b/notes/Redis.md index c54287c8..0981abf0 100644 --- a/notes/Redis.md +++ b/notes/Redis.md @@ -416,7 +416,7 @@ Reids 具体有 6 种淘汰策略: | allkeys-random | 从所有数据集中任意选择数据进行淘汰 | | noeviction | 禁止驱逐数据 | -作为内存数据库,出于对性能和内存消耗的考虑,Redis 的淘汰算法实际实现上并非针对所有 key,而是抽样一小部分 key 从中选出被淘汰 key。 +作为内存数据库,出于对性能和内存消耗的考虑,Redis 的淘汰算法实际实现上并非针对所有 key,而是抽样一小部分并且从中选出被淘汰的 key。 使用 Redis 缓存数据时,为了提高缓存命中率,需要保证缓存数据都是热点数据。可以将内存最大使用量设置为热点数据占用的内存量,然后启用 allkeys-lru 淘汰策略,将最近最少使用的数据淘汰。 @@ -440,7 +440,7 @@ Redis 是内存型数据库,为了保证数据在断电后不会丢失,需 将写命令添加到 AOF 文件(Append Only File)的末尾。 -使用 AOF 持久化需要设置同步选项,从而确保写命令什么时候会同步到磁盘文件上。这是因为对硬盘的文件进行写入并不会马上将内容同步到磁盘文件上,而是先存储到缓冲区,然后由操作系统决定什么时候同步到硬盘。有以下同步选项: +使用 AOF 持久化需要设置同步选项,从而确保写命令什么时候会同步到磁盘文件上。这是因为对文件进行写入并不会马上将内容同步到磁盘上,而是先存储到缓冲区,然后由操作系统决定什么时候同步到磁盘。有以下同步选项: | 选项 | 同步频率 | | :--: | :--: | @@ -449,8 +449,8 @@ Redis 是内存型数据库,为了保证数据在断电后不会丢失,需 | no | 让操作系统来决定何时同步 | - always 选项会严重减低服务器的性能; -- everysec 选项比较合适,可以保证系统奔溃时只会丢失一秒左右的数据,并且 Redis 每秒执行一次同步对服务器性能几乎没有任何影响; -- no 选项并不能给服务器性能带来多大的提升,而且也会增加系统奔溃时数据丢失的数量。 +- everysec 选项比较合适,可以保证系统崩溃时只会丢失一秒左右的数据,并且 Redis 每秒执行一次同步对服务器性能几乎没有任何影响; +- no 选项并不能给服务器性能带来多大的提升,而且也会增加系统崩溃时数据丢失的数量。 随着服务器写请求的增多,AOF 文件会越来越大。Redis 提供了一种将 AOF 重写的特性,能够去除 AOF 文件中的冗余写命令。 @@ -553,9 +553,12 @@ Sentinel(哨兵)可以监听主服务器,并在主服务器进入下线状 # 十三、分片 -分片是将数据划分为多个部分的方法,可以将数据存储到多台机器里面,也可以从多台机器里面获取数据,这种方法在解决某些问题时可以获得线性级别的性能提升。 +分片是将数据划分为多个部分的方法,可以将数据存储到多台机器里面,这种方法在解决某些问题时可以获得线性级别的性能提升。 -假设有 4 个 Reids 实例 R0,R1,R2,R3,还有很多表示用户的键 user:1,user:2,... 等等,有不同的方式来选择一个指定的键存储在哪个实例中。最简单的方式是范围分片,例如用户 id 从 0\~1000 的存储到实例 R0 中,用户 id 从 1001\~2000 的存储到实例 R1 中,等等。但是这样需要维护一张映射范围表,维护操作代价很高。还有一种方式是哈希分片,使用 CRC32 哈希函数将键转换为一个数字,再对实例数量求模就能知道应该存储的实例。 +假设有 4 个 Reids 实例 R0,R1,R2,R3,还有很多表示用户的键 user:1,user:2,... 等等,有不同的方式来选择一个指定的键存储在哪个实例中。 + +- 最简单的方式是范围分片,例如用户 id 从 0\~1000 的存储到实例 R0 中,用户 id 从 1001\~2000 的存储到实例 R1 中,等等。但是这样需要维护一张映射范围表,维护操作代价很高。 +- 还有一种方式是哈希分片,使用 CRC32 哈希函数将键转换为一个数字,再对实例数量求模就能知道应该存储的实例。 根据执行分片的位置,可以分为三种分片方式: diff --git a/notes/SQL.md b/notes/SQL.md index ca9b7b29..4a44aee8 100644 --- a/notes/SQL.md +++ b/notes/SQL.md @@ -19,7 +19,7 @@ * [十八、存储过程](#十八存储过程) * [十九、游标](#十九游标) * [二十、触发器](#二十触发器) -* [二十一、事务处理](#二十一事务处理) +* [二十一、事务管理](#二十一事务管理) * [二十二、字符集](#二十二字符集) * [二十三、权限管理](#二十三权限管理) * [参考资料](#参考资料) @@ -553,7 +553,7 @@ WHERE col5 = val; # 十八、存储过程 -存储过程可以看成是对一系列 SQL 操作的批处理; +存储过程可以看成是对一系列 SQL 操作的批处理。 使用存储过程的好处: @@ -642,11 +642,11 @@ SELECT @result; -- 获取结果 DELETE 触发器包含一个名为 OLD 的虚拟表,并且是只读的。 -UPDATE 触发器包含一个名为 NEW 和一个名为 OLD 的虚拟表,其中 NEW 是可以被修改地,而 OLD 是只读的。 +UPDATE 触发器包含一个名为 NEW 和一个名为 OLD 的虚拟表,其中 NEW 是可以被修改的,而 OLD 是只读的。 MySQL 不允许在触发器中使用 CALL 语句,也就是不能调用存储过程。 -# 二十一、事务处理 +# 二十一、事务管理 基本术语: @@ -708,12 +708,12 @@ SELECT user FROM user; **创建账户** +新创建的账户没有任何权限。 + ```sql CREATE USER myuser IDENTIFIED BY 'mypassword'; ``` -新创建的账户没有任何权限。 - **修改账户名** ```sql @@ -734,18 +734,14 @@ SHOW GRANTS FOR myuser; **授予权限** +账户用 username@host 的形式定义,username@% 使用的是默认主机名。 + ```sql GRANT SELECT, INSERT ON mydatabase.* TO myuser; ``` -账户用 username@host 的形式定义,username@% 使用的是默认主机名。 - **删除权限** -```sql -REVOKE SELECT, INSERT ON mydatabase.* FROM myuser; -``` - GRANT 和 REVOKE 可在几个层次上控制访问权限: - 整个服务器,使用 GRANT ALL 和 REVOKE ALL; @@ -754,6 +750,10 @@ GRANT 和 REVOKE 可在几个层次上控制访问权限: - 特定的列; - 特定的存储过程。 +```sql +REVOKE SELECT, INSERT ON mydatabase.* FROM myuser; +``` + **更改密码** 必须使用 Password() 函数 diff --git a/notes/数据库系统原理.md b/notes/数据库系统原理.md index cabc2f97..151ffc0f 100644 --- a/notes/数据库系统原理.md +++ b/notes/数据库系统原理.md @@ -44,10 +44,10 @@ ## 概念 -

- 事务指的是满足 ACID 特性的一组操作,可以通过 Commit 提交一个事务,也可以使用 Rollback 进行回滚。 +

+ ## ACID ### 1. 原子性(Atomicity) @@ -77,7 +77,7 @@ 事务的 ACID 特性概念简单,但不是很好理解,主要是因为这几个特性不是一种平级关系: - 只有满足一致性,事务的执行结果才是正确的。 -- 在无并发的情况下,事务串行执行,隔离性一定能够满足。此时要只要能满足原子性,就一定能满足一致性。 +- 在无并发的情况下,事务串行执行,隔离性一定能够满足。此时只要能满足原子性,就一定能满足一致性。 - 在并发的情况下,多个事务并发执行,事务不仅要满足原子性,还需要满足隔离性,才能满足一致性。 - 事务满足持久化是为了能应对数据库崩溃的情况。 @@ -123,7 +123,6 @@ T1 读取某个范围的数据,T2 在这个范围内插 ## 封锁粒度 -

MySQL 中提供了两种封锁粒度:行级锁以及表级锁。 @@ -133,6 +132,8 @@ MySQL 中提供了两种封锁粒度:行级锁以及表级锁。 在选择封锁粒度时,需要在锁开销和并发程度之间做一个权衡。 +

+ ## 封锁类型 ### 1. 读写锁 @@ -304,7 +305,11 @@ SELECT ... FOR UPDATE; # 五、多版本并发控制 -多版本并发控制(Multi-Version Concurrency Control, MVCC)是 MySQL 的 InnoDB 存储引擎实现隔离级别的一种具体方式,用于实现提交读和可重复读这两种隔离级别。而未提交读隔离级别总是读取最新的数据行,无需使用 MVCC;可串行化隔离级别需要对所有读取的行都加锁,单纯使用 MVCC 无法实现。 +多版本并发控制(Multi-Version Concurrency Control, MVCC)是 MySQL 的 InnoDB 存储引擎实现隔离级别的一种具体方式,用于实现提交读和可重复读这两种隔离级别。 + +而未提交读隔离级别总是读取最新的数据行,无需使用 MVCC。 + +可串行化隔离级别需要对所有读取的行都加锁,单纯使用 MVCC 无法实现。 ## 版本号 @@ -372,11 +377,15 @@ delete; # 六、Next-Key Locks -Next-Key Locks 也是 MySQL 的 InnoDB 存储引擎的一种锁实现。MVCC 不能解决幻读的问题,Next-Key Locks 就是为了解决这个问题而存在的。在可重复读(REPEATABLE READ)隔离级别下,使用 MVCC + Next-Key Locks 可以解决幻读问题。 +Next-Key Locks 是 MySQL 的 InnoDB 存储引擎的一种锁实现。 + +MVCC 不能解决幻读的问题,Next-Key Locks 就是为了解决这个问题而存在的。在可重复读(REPEATABLE READ)隔离级别下,使用 MVCC + Next-Key Locks 可以解决幻读问题。 ## Record Locks -锁定整个记录(行)。锁定的对象是记录的索引,而不是记录本身。如果表没有设置索引,InnoDB 会自动在主键上创建隐藏的聚集索引,因此 Record Locks 依然可以使用。 +锁定的对象是记录的索引,而不是记录本身。 + +如果表没有设置索引,InnoDB 会自动在主键上创建隐藏的聚集索引,因此 Record Locks 依然可以使用。 ## Gap Locks @@ -420,7 +429,7 @@ SELECT c FROM t WHERE c BETWEEN 10 and 20 FOR UPDATE; 如果 {A1,A2,... ,An} 是关系的一个或多个属性的集合,该集合函数决定了关系的其它所有属性并且是最小的,那么该集合就称为键码。 -对于 A->B,如果能找到 A 的真子集 A',使得 A'-> B,那么 A->B 就是部分函数依赖,否则就是完全函数依赖; +对于 A->B,如果能找到 A 的真子集 A',使得 A'-> B,那么 A->B 就是部分函数依赖,否则就是完全函数依赖。 对于 A->B,B->C,则 A->C 是一个传递函数依赖。 @@ -452,7 +461,7 @@ SELECT c FROM t WHERE c BETWEEN 10 and 20 FOR UPDATE; ### 1. 第一范式 (1NF) -属性不可分; +属性不可分。 ### 2. 第二范式 (2NF) diff --git a/notes/正则表达式.md b/notes/正则表达式.md index c6c21f2c..c713da63 100644 --- a/notes/正则表达式.md +++ b/notes/正则表达式.md @@ -23,11 +23,11 @@ # 二、匹配单个字符 -正则表达式一般是区分大小写的,但是也有些实现是不区分。 - **.** 可以用来匹配任何的单个字符,但是在绝大多数实现里面,不能匹配换行符; -**\\** 是元字符,表示它有特殊的含义,而不是字符本身的含义。如果需要匹配 . ,那么要用 \ 进行转义,即在 . 前面加上 \ 。 +**.** 是元字符,表示它有特殊的含义,而不是字符本身的含义。如果需要匹配 . ,那么要用 \ 进行转义,即在 . 前面加上 \ 。 + +正则表达式一般是区分大小写的,但是也有些实现是不区分。 **正则表达式** @@ -43,11 +43,11 @@ My **name** is Zheng. **[ ]** 定义一个字符集合; -0-9、a-z 定义了一个字符区间,区间使用 ASCII 码来确定,字符区间只能用在 [ ] 之间。 +0-9、a-z 定义了一个字符区间,区间使用 ASCII 码来确定,字符区间在 [ ] 中使用。 -**-** 元字符只有在 [ ] 之间才是元字符,在 [ ] 之外就是一个普通字符; +**-** 只有在 [ ] 之间才是元字符,在 [ ] 之外就是一个普通字符; -**^** 在 [ ] 字符集合中是取非操作。 +**^** 在 [ ] 中是取非操作。 **应用** @@ -78,9 +78,9 @@ abc[^0-9] | \t | 制表符 | | \v | 垂直制表符 | -\r\n 是 Windows 中的文本行结束标签,在 Unix/Linux 则是 \n ;\r\n\r\n 可以匹配 Windows 下的空白行,因为它将匹配两个连续的行尾标签,而这正是两条记录之间的空白行; +\r\n 是 Windows 中的文本行结束标签,在 Unix/Linux 则是 \n。 -. 是元字符,前提是没有对它们进行转义;f 和 n 也是元字符,但是前提是对它们进行了转义。 +\r\n\r\n 可以匹配 Windows 下的空白行,因为它将匹配两个连续的行尾标签,而这正是两条记录之间的空白行; ## 匹配特定的字符类别 @@ -105,11 +105,13 @@ abc[^0-9] | \s | 任何一个空白字符,等价于 [\f\n\r\t\v] | | \S | 对 \s 取非 | -\x 匹配十六进制字符,\0 匹配八进制,例如 \x0A 对应 ASCII 字符 10 ,等价于 \n,也就是它会匹配 \n 。 +\x 匹配十六进制字符,\0 匹配八进制,例如 \x0A 对应 ASCII 字符 10,等价于 \n。 # 五、重复匹配 -**\+** 匹配 1 个或者多个字符, **\*** 匹配 0 个或者多个,**?** 匹配 0 个或者 1 个。 +- **\+** 匹配 1 个或者多个字符 +- **\** * 匹配 0 个或者多个 +- **?** 匹配 0 个或者 1 个 **应用** @@ -127,16 +129,11 @@ abc[^0-9] **abc.def@qq.com** -为了可读性,常常把转义的字符放到字符集合 [ ] 中,但是含义是相同的。 +- **{n}** 匹配 n 个字符 +- **{m, n}** 匹配 m\~n 个字符 +- **{m,}** 至少匹配 m 个字符 -``` -[\w.]+@\w+\.\w+ -[\w.]+@[\w]+[\.][\w]+ -``` - -**{n}** 匹配 n 个字符,**{m, n}** 匹配 m\~n 个字符,**{m,}** 至少匹配 m 个字符; - -\* 和 + 都是贪婪型元字符,会匹配最多的内容,在元字符后面加 ? 可以转换为懒惰型元字符,例如 \*?、+? 和 {m, n}? 。 +\* 和 + 都是贪婪型元字符,会匹配最多的内容。在后面加 ? 可以转换为懒惰型元字符,例如 \*?、+? 和 {m, n}? 。 **正则表达式** @@ -220,7 +217,9 @@ a.+c **应用** -匹配 IP 地址。IP 地址中每部分都是 0-255 的数字,用正则表达式匹配时以下情况是合法的: +匹配 IP 地址。 + +IP 地址中每部分都是 0-255 的数字,用正则表达式匹配时以下情况是合法的: - 一位数字 - 不以 0 开头的两位数字 From f75f18722b8fcf3ca3f969375e18ea2d90db73fa Mon Sep 17 00:00:00 2001 From: Keqi Huang Date: Mon, 6 Aug 2018 23:15:46 +0800 Subject: [PATCH 16/20] =?UTF-8?q?Create=20leetcode=E6=80=BB=E7=BB=93.md?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- other/leetcode总结.md | 37 +++++++++++++++++++++++++++++++++++++ 1 file changed, 37 insertions(+) create mode 100644 other/leetcode总结.md diff --git a/other/leetcode总结.md b/other/leetcode总结.md new file mode 100644 index 00000000..a864b791 --- /dev/null +++ b/other/leetcode总结.md @@ -0,0 +1,37 @@ +# LeetCode 面试必备 + - 💪 就是干!如果你觉得有帮助请点个star,谢谢! + +> **欢迎任何人参与和完善:一个人可以走的很快,但是一群人却可以走的更远** + +## LeetCode 习题集合 + +* [LeetCode 解题集合](https://github.com/apachecn/leetcode/docs/Leetcode_Solutions) + + +## 模版要求 + +> 提交PR基本要求(满足任意一种即可) + +* 1. 不一样的思路 +* 2. 优化时间复杂度和空间复杂度,或者解决题目的Follow up +* 3. 有意义的简化代码 +* 4. 未提交过的题目 + +> **案例模版** + +[模版:007. Reverse Integer 反转整数](https://github.com/apachecn/leetcode/docs/Leetcode_Solutions/007._Reverse_Integer.md) + + +## 项目贡献者 + +> 项目发起人 + +* [@Lisanaaa](https://github.com/Lisanaaa) +* [@片刻](https://github.com/jiangzhonglian) + +> 贡献者(欢迎大家来追加) + +* [@Lisanaaa](https://github.com/Lisanaaa) +* [@片刻](https://github.com/jiangzhonglian) +* [@小瑶](https://github.com/chenyyx) + From 963b1fccdf92f44ca249d57d16ca8ffc6ba083e0 Mon Sep 17 00:00:00 2001 From: Keqi Huang Date: Mon, 6 Aug 2018 23:17:13 +0800 Subject: [PATCH 17/20] =?UTF-8?q?Rename=20leetcode=E6=80=BB=E7=BB=93.md=20?= =?UTF-8?q?to=20leetcode=20=E6=80=BB=E7=BB=93.md?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- other/{leetcode总结.md => leetcode 总结.md} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename other/{leetcode总结.md => leetcode 总结.md} (100%) diff --git a/other/leetcode总结.md b/other/leetcode 总结.md similarity index 100% rename from other/leetcode总结.md rename to other/leetcode 总结.md From b98c2a709474a637752a28eab02f5b7804390c62 Mon Sep 17 00:00:00 2001 From: CyC2018 <1029579233@qq.com> Date: Mon, 6 Aug 2018 23:23:25 +0800 Subject: [PATCH 18/20] auto commit --- notes/计算机网络.md | 14 ++++++++++---- 1 file changed, 10 insertions(+), 4 deletions(-) diff --git a/notes/计算机网络.md b/notes/计算机网络.md index 9b213d74..91a4d84c 100644 --- a/notes/计算机网络.md +++ b/notes/计算机网络.md @@ -415,12 +415,14 @@ IP 地址 ::= {< 网络号 >, < 主机号 >} ### 2. 子网划分 -通过在主机号字段中拿一部分作为子网号,把两级 IP 地址划分为三级 IP 地址。注意,外部网络看不到子网的存在。 +通过在主机号字段中拿一部分作为子网号,把两级 IP 地址划分为三级 IP 地址。 IP 地址 ::= {< 网络号 >, < 子网号 >, < 主机号 >} 要使用子网,必须配置子网掩码。一个 B 类地址的默认子网掩码为 255.255.0.0,如果 B 类地址的子网占两个比特,那么子网掩码为 11111111 11111111 11000000 00000000,也就是 255.255.192.0。 +注意,外部网络看不到子网的存在。 + ### 3. 无分类 无分类编址 CIDR 消除了传统 A 类、B 类和 C 类地址以及划分子网的概念,使用网络前缀和主机号来对 IP 地址进行编码,网络前缀的长度可以根据需要变化。 @@ -445,7 +447,7 @@ ARP 实现由 IP 地址得到 MAC 地址。

-每个主机都有一个 ARP 高速缓存,里面有本局域网上的各主机和路由器的 IP 地址到硬件地址的映射表。 +每个主机都有一个 ARP 高速缓存,里面有本局域网上的各主机和路由器的 IP 地址到 MAC 地址的映射表。 如果主机 A 知道主机 B 的 IP 地址,但是 ARP 高速缓存中没有该 IP 地址到 MAC 地址的映射,此时主机 A 通过广播的方式发送 ARP 请求分组,主机 B 收到该请求后会发送 ARP 响应分组给主机 A 告知其 MAC 地址,随后主机 A 向其高速缓存中写入主机 B 的 IP 地址到 MAC 地址的映射。 @@ -465,12 +467,14 @@ ICMP 报文分为差错报告报文和询问报文。 Ping 是 ICMP 的一个重要应用,主要用来测试两台主机之间的连通性。 -Ping 发送的 IP 数据报封装的是无法交付的 UDP 用户数据报。 +Ping 的原理是通过向目的主机发送 ICMP Echo 请求报文,目的主机收到之后会发送 Echo 回答报文。Ping 会根据时间和成功响应的次数估算出数据包往返时间以及丢包率。 ### 2. Traceroute Traceroute 是 ICMP 的另一个应用,用来跟踪一个分组从源点到终点的路径。 +Traceroute 发送的 IP 数据报封装的是无法交付的 UDP 用户数据报,并由目的主机发送终点不可达差错报告报文。 + - 源主机向目的主机发送一连串的 IP 数据报。第一个数据报 P1 的生存时间 TTL 设置为 1,当 P1 到达路径上的第一个路由器 R1 时,R1 收下它并把 TTL 减 1,此时 TTL 等于 0,R1 就把 P1 丢弃,并向源主机发送一个 ICMP 时间超过差错报告报文; - 源主机接着发送第二个数据报 P2,并把 TTL 设置为 2。P2 先到达 R1,R1 收下后把 TTL 减 1 再转发给 R2,R2 收下后也把 TTL 减 1,由于此时 TTL 等于 0,R2 就丢弃 P2,并向源主机发送一个 ICMP 时间超过差错报文。 - 不断执行这样的步骤,直到最后一个数据报刚刚到达目的主机,主机不转发数据报,也不把 TTL 值减 1。但是因为数据报封装的是无法交付的 UDP,因此目的主机要向源主机发送 ICMP 终点不可达差错报告报文。 @@ -883,7 +887,9 @@ DHCP 工作过程如下: - JamesF.Kurose, KeithW.Ross, 库罗斯, 等. 计算机网络: 自顶向下方法 [M]. 机械工业出版社, 2014. - W.RichardStevens. TCP/IP 详解. 卷 1, 协议 [M]. 机械工业出版社, 2006. - [Active vs Passive FTP Mode: Which One is More Secure?](https://securitywing.com/active-vs-passive-ftp-mode/) -- [Active and Passive FTP Transfers Defined - KB Article #1138](http://www.serv-u.com/kb/1138/active-and-passive-ftp-transfers-defined) +- [Active and Passive FTP Transfers Defined - KB Article #1138](http://www.serv-u.com/kb/1138/active-and-passive-ftp-transfers-defined) +- [Traceroute](https://zh.wikipedia.org/wiki/Traceroute) +- [ping](https://zh.wikipedia.org/wiki/Ping) - [How DHCP works and DHCP Interview Questions and Answers](http://webcache.googleusercontent.com/search?q=cache:http://anandgiria.blogspot.com/2013/09/windows-dhcp-interview-questions-and.html) - [What is process of DORA in DHCP?](https://www.quora.com/What-is-process-of-DORA-in-DHCP) - [What is DHCP Server ?](https://tecadmin.net/what-is-dhcp-server/) From a06245c01c7391b36f71159e7a4ec49b383050f2 Mon Sep 17 00:00:00 2001 From: Elong Date: Tue, 7 Aug 2018 10:39:08 +0800 Subject: [PATCH 19/20] =?UTF-8?q?Update=20Java=20=E5=AE=B9=E5=99=A8.md?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 8和16的二进制表示问题 --- notes/Java 容器.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/notes/Java 容器.md b/notes/Java 容器.md index 27a783f1..24ce2405 100644 --- a/notes/Java 容器.md +++ b/notes/Java 容器.md @@ -680,8 +680,8 @@ void transfer(Entry[] newTable) { 假设原数组长度 capacity 为 8,扩容之后 new capacity 为 16: ```html -capacity : 00010000 -new capacity : 00100000 +capacity : 00001000 +new capacity : 00010000 ``` 对于一个 Key,它的哈希值如果在第 6 位上为 0,那么取模得到的结果和之前一样;如果为 1,那么得到的结果为原来的结果 + 8。 From 8c67483fe9ac599aa6f6358fb32a541d7e279666 Mon Sep 17 00:00:00 2001 From: CyC2018 <1029579233@qq.com> Date: Tue, 7 Aug 2018 11:12:35 +0800 Subject: [PATCH 20/20] auto commit --- notes/Java 容器.md | 8 ++-- notes/计算机网络.md | 94 +++++++++++++++++++++++---------------------- 2 files changed, 52 insertions(+), 50 deletions(-) diff --git a/notes/Java 容器.md b/notes/Java 容器.md index 24ce2405..bf1921fc 100644 --- a/notes/Java 容器.md +++ b/notes/Java 容器.md @@ -677,14 +677,14 @@ void transfer(Entry[] newTable) { 在进行扩容时,需要把键值对重新放到对应的桶上。HashMap 使用了一个特殊的机制,可以降低重新计算桶下标的操作。 -假设原数组长度 capacity 为 8,扩容之后 new capacity 为 16: +假设原数组长度 capacity 为 16,扩容之后 new capacity 为 32: ```html -capacity : 00001000 -new capacity : 00010000 +capacity : 00010000 +new capacity : 00100000 ``` -对于一个 Key,它的哈希值如果在第 6 位上为 0,那么取模得到的结果和之前一样;如果为 1,那么得到的结果为原来的结果 + 8。 +对于一个 Key,它的哈希值如果在第 6 位上为 0,那么取模得到的结果和之前一样;如果为 1,那么得到的结果为原来的结果 +16。 ### 7. 扩容-计算数组容量 diff --git a/notes/计算机网络.md b/notes/计算机网络.md index 91a4d84c..e80ba7f8 100644 --- a/notes/计算机网络.md +++ b/notes/计算机网络.md @@ -37,16 +37,16 @@ * [TCP 首部格式](#tcp-首部格式) * [TCP 的三次握手](#tcp-的三次握手) * [TCP 的四次挥手](#tcp-的四次挥手) - * [TCP 滑动窗口](#tcp-滑动窗口) * [TCP 可靠传输](#tcp-可靠传输) + * [TCP 滑动窗口](#tcp-滑动窗口) * [TCP 流量控制](#tcp-流量控制) * [TCP 拥塞控制](#tcp-拥塞控制) * [六、应用层](#六应用层) * [域名系统](#域名系统) * [文件传送协议](#文件传送协议) + * [动态主机配置协议](#动态主机配置协议) * [远程登录协议](#远程登录协议) * [电子邮件协议](#电子邮件协议) - * [动态主机配置协议](#动态主机配置协议) * [常用端口](#常用端口) * [Web 页面请求过程](#web-页面请求过程) * [参考资料](#参考资料) @@ -622,11 +622,11 @@ BGP 只能寻找一条比较好的路由,而不是最佳路由。 - 首先 B 处于 LISTEN(监听)状态,等待客户的连接请求。 -- A 向 B 发送连接请求报文段,SYN=1,ACK=0,选择一个初始的序号 x。 +- A 向 B 发送连接请求报文,SYN=1,ACK=0,选择一个初始的序号 x。 -- B 收到连接请求报文段,如果同意建立连接,则向 A 发送连接确认报文段,SYN=1,ACK=1,确认号为 x+1,同时也选择一个初始的序号 y。 +- B 收到连接请求报文,如果同意建立连接,则向 A 发送连接确认报文,SYN=1,ACK=1,确认号为 x+1,同时也选择一个初始的序号 y。 -- A 收到 B 的连接确认报文段后,还要向 B 发出确认,确认号为 y+1,序号为 x+1。 +- A 收到 B 的连接确认报文后,还要向 B 发出确认,确认号为 y+1,序号为 x+1。 - B 收到 A 的确认后,连接建立。 @@ -642,11 +642,11 @@ BGP 只能寻找一条比较好的路由,而不是最佳路由。 以下描述不讨论序号和确认号,因为序号和确认号的规则比较简单。并且不讨论 ACK,因为 ACK 在连接建立之后都为 1。 -- A 发送连接释放报文段,FIN=1。 +- A 发送连接释放报文,FIN=1。 - B 收到之后发出确认,此时 TCP 属于半关闭状态,B 能向 A 发送数据但是 A 不能向 B 发送数据。 -- 当 B 不再需要连接时,发送连接释放请求报文段,FIN=1。 +- 当 B 不再需要连接时,发送连接释放报文,FIN=1。 - A 收到后发出确认,进入 TIME-WAIT 状态,等待 2 MSL(最大报文存活时间)后释放连接。 @@ -660,19 +660,9 @@ BGP 只能寻找一条比较好的路由,而不是最佳路由。 客户端接收到服务器端的 FIN 报文后进入此状态,此时并不是直接进入 CLOSED 状态,还需要等待一个时间计时器设置的时间 2MSL。这么做有两个理由: -- 确保最后一个确认报文段能够到达。如果 B 没收到 A 发送来的确认报文段,那么就会重新发送连接释放请求报文段,A 等待一段时间就是为了处理这种情况的发生。 +- 确保最后一个确认报文能够到达。如果 B 没收到 A 发送来的确认报文,那么就会重新发送连接释放请求报文,A 等待一段时间就是为了处理这种情况的发生。 -- 等待一段时间是为了让本连接持续时间内所产生的所有报文段都从网络中消失,使得下一个新的连接不会出现旧的连接请求报文段。 - -## TCP 滑动窗口 - -

- -窗口是缓存的一部分,用来暂时存放字节流。发送方和接收方各有一个窗口,接收方通过 TCP 报文段中的窗口字段告诉发送方自己的窗口大小,发送方根据这个值和其它信息设置自己的窗口大小。 - -发送窗口内的字节都允许被发送,接收窗口内的字节都允许被接收。如果发送窗口左部的字节已经发送并且收到了确认,那么就将发送窗口向右滑动一定距离,直到左部第一个字节不是已发送并且已确认的状态;接收窗口的滑动类似,接收窗口左部字节已经发送确认并交付主机,就向右滑动接收窗口。 - -接收窗口只会对窗口内最后一个按序到达的字节进行确认,例如接收窗口已经收到的字节为 {31, 34, 35},其中 {31} 按序到达,而 {34, 35} 就不是,因此只对字节 31 进行确认。发送方得到一个字节的确认之后,就知道这个字节之前的所有字节都已经被接收。 +- 等待一段时间是为了让本连接持续时间内所产生的所有报文都从网络中消失,使得下一个新的连接不会出现旧的连接请求报文。 ## TCP 可靠传输 @@ -688,6 +678,16 @@ TCP 使用超时重传来实现可靠传输:如果一个已经发送的报文 其中 RTTd 为偏差。 +## TCP 滑动窗口 + +窗口是缓存的一部分,用来暂时存放字节流。发送方和接收方各有一个窗口,接收方通过 TCP 报文段中的窗口字段告诉发送方自己的窗口大小,发送方根据这个值和其它信息设置自己的窗口大小。 + +发送窗口内的字节都允许被发送,接收窗口内的字节都允许被接收。如果发送窗口左部的字节已经发送并且收到了确认,那么就将发送窗口向右滑动一定距离,直到左部第一个字节不是已发送并且已确认的状态;接收窗口的滑动类似,接收窗口左部字节已经发送确认并交付主机,就向右滑动接收窗口。 + +接收窗口只会对窗口内最后一个按序到达的字节进行确认,例如接收窗口已经收到的字节为 {31, 34, 35},其中 {31} 按序到达,而 {34, 35} 就不是,因此只对字节 31 进行确认。发送方得到一个字节的确认之后,就知道这个字节之前的所有字节都已经被接收。 + +

+ ## TCP 流量控制 流量控制是为了控制发送方发送速率,保证接收方来得及接收。 @@ -725,7 +725,9 @@ TCP 主要通过四种算法来进行拥塞控制:慢开始、拥塞避免、 在发送方,如果收到三个重复确认,那么可以知道下一个报文段丢失,此时执行快重传,立即重传下一个报文段。例如收到三个 M2,则 M3 丢失,立即重传 M3。 -在这种情况下,只是丢失个别报文段,而不是网络拥塞。因此执行快恢复,令 ssthresh = cwnd/2 ,cwnd = ssthresh,注意到此时直接进入拥塞避免。慢开始和快恢复的快慢指的是 cwnd 的设定值,而不是 cwnd 的增长速率。慢开始 cwnd 设定为 1,而快恢复 cwnd 设定为 ssthresh。 +在这种情况下,只是丢失个别报文段,而不是网络拥塞。因此执行快恢复,令 ssthresh = cwnd/2 ,cwnd = ssthresh,注意到此时直接进入拥塞避免。 + +慢开始和快恢复的快慢指的是 cwnd 的设定值,而不是 cwnd 的增长速率。慢开始 cwnd 设定为 1,而快恢复 cwnd 设定为 ssthresh。

@@ -733,23 +735,23 @@ TCP 主要通过四种算法来进行拥塞控制:慢开始、拥塞避免、 ## 域名系统 -DNS 是一个分布式数据库,提供了主机名和 IP 地址之间的转换。这里的分布式数据库是指,每个站点只保留它自己的那部分数据。 +DNS 是一个分布式数据库,提供了主机名和 IP 地址之间相互转换的服务。这里的分布式数据库是指,每个站点只保留它自己的那部分数据。 -域名具有层次结构,从上到下依次为:根域名、顶级域名、第二级域名。 +域名具有层次结构,从上到下依次为:根域名、顶级域名、二级域名。

DNS 可以使用 UDP 或者 TCP 进行传输,使用的端口号都为 53。大多数情况下 DNS 使用 UDP 进行传输,这就要求域名解析器和域名服务器都必须自己处理超时和重传来保证可靠性。在两种情况下会使用 TCP 进行传输: -- 因为 UDP 最大只支持 512 字节的数据,如果返回的响应超过的 512 字节就改用 TCP 进行传输。 -- 区域传送是主域名服务器向辅助域名服务器传送变化的那部分数据,区域传送需要使用 TCP 进行传输。 +- 如果返回的响应超过的 512 字节就改用 TCP 进行传输(UDP 最大只支持 512 字节的数据)。 +- 区域传送需要使用 TCP 进行传输(区域传送是主域名服务器向辅助域名服务器传送变化的那部分数据)。 ## 文件传送协议 FTP 使用 TCP 进行连接,它需要两个连接来传送一个文件: -- 控制连接:服务器以打开端口号 21 等待客户端的连接,客户端主动建立连接后,使用这个连接将客户端的命令传送给服务器,并传回服务器的应答。 -- 数据连接:用来传送一个文件。 +- 控制连接:服务器打开端口号 21 等待客户端的连接,客户端主动建立连接后,使用这个连接将客户端的命令传送给服务器,并传回服务器的应答。 +- 数据连接:用来传送一个文件数据。 根据数据连接是否是服务器端主动建立,FTP 有主动和被动两种模式: @@ -763,6 +765,21 @@ FTP 使用 TCP 进行连接,它需要两个连接来传送一个文件: 主动模式要求客户端开放端口号给服务器端,需要去配置客户端的防火墙。被动模式只需要服务器端开放端口号即可,无需客户端配置防火墙。但是被动模式会导致服务器端的安全性减弱,因为开放了过多的端口号。 +## 动态主机配置协议 + +DHCP (Dynamic Host Configuration Protocol) 提供了即插即用的连网方式,用户不再需要去手动配置 IP 地址等信息。 + +DHCP 配置的内容不仅是 IP 地址,还包括子网掩码、网关 IP 地址。 + +DHCP 工作过程如下: + +1. 客户端发送 Discover 报文,该报文的目的地址为 255.255.255.255:67,源地址为 0.0.0.0:68,被放入 UDP 中,该报文被广播到同一个子网的所有主机上。如果客户端和 DHCP 服务器不在同一个子网,就需要使用中继代理。 +2. DHCP 服务器收到 Discover 报文之后,发送 Offer 报文给客户端,该报文包含了客户端所需要的信息。因为客户端可能收到多个 DHCP 服务器提供的信息,因此客户端需要进行选择。 +3. 如果客户端选择了某个 DHCP 服务器提供的信息,那么就发送 Request 报文给该 DHCP 服务器。 +4. DHCP 服务器发送 Ack 报文,表示客户端此时可以使用提供给它的信息。 + +

+ ## 远程登录协议 TELNET 用于登录到远程主机上,并且远程主机上的输出也会返回。 @@ -777,34 +794,19 @@ TELNET 可以适应许多计算机和操作系统的差异,例如不同操作

-### 1. POP3 - -POP3 的特点是只要用户从服务器上读取了邮件,就把该邮件删除。 - -### 2. IMAP - -IMAP 协议中客户端和服务器上的邮件保持同步,如果不去手动删除邮件,那么服务器上的邮件也不会被删除。IMAP 这种做法可以让用户随时随地去访问服务器上的邮件。 - -### 3. SMTP +### 1. SMTP SMTP 只能发送 ASCII 码,而互联网邮件扩充 MIME 可以发送二进制文件。MIME 并没有改动或者取代 SMTP,而是增加邮件主体的结构,定义了非 ASCII 码的编码规则。

-## 动态主机配置协议 +### 2. POP3 -DHCP (Dynamic Host Configuration Protocol) 提供了即插即用的连网方式,用户不再需要去手动配置 IP 地址等信息。DHCP 配置的内容不仅是 IP 地址,还包括子网掩码、网关 IP 地址。 +POP3 的特点是只要用户从服务器上读取了邮件,就把该邮件删除。 -DHCP 工作过程如下: +### 3. IMAP -1. 客户端发送 Discover 报文,该报文的目的地址为 255.255.255.255:67,源地址为 0.0.0.0:68,被放入 UDP 中,该报文被广播到同一个子网的所有主机上。 -2. DHCP 服务器收到 Discover 报文之后,发送 Offer 报文给客户端,该报文包含了客户端所需要的信息。因为客户端可能收到多个 DHCP 服务器提供的信息,因此客户端需要进行选择。 -3. 如果客户端选择了某个 DHCP 服务器提供的信息,那么就发送 Request 报文给该 DHCP 服务器。 -4. DHCP 服务器发送 Ack 报文,表示客户端此时可以使用提供给它的信息。 - -

- -如果客户端和 DHCP 服务器不在同一个子网,就需要使用中继代理。 +IMAP 协议中客户端和服务器上的邮件保持同步,如果不去手动删除邮件,那么服务器上的邮件也不会被删除。IMAP 这种做法可以让用户随时随地去访问服务器上的邮件。 ## 常用端口