Guava工具类使用
Posted adolph
tags:
篇首语:本文由小常识网(cha138.com)小编为大家整理,主要介绍了Guava工具类使用相关的知识,希望对你有一定的参考价值。
Guava常用工具类学习
一、概述
Guava是对Java API的补充,对Java开发中常用功能进行更优雅的实现,使得编码更加轻松,代码容易理解。Guava使用了多种设计模式,同时经过了很多测试,得到了越来越多开发团队的青睐。Java最新版本的API采纳了Guava的部分功能,但依旧无法替代。本文以Getting Started With Google Guava原文为学习材料,对Guava中常用的API进行学习,尽量覆盖比较有用的API,包括字符串处理,集合类处理,文件IO处理等。
二、字符串连接器Joiner
2.1 连接多个字符串并追加到StringBuilder
StringBuilder stringBuilder = new StringBuilder("hello");
// 字符串连接器,以|为分隔符,同时去掉null元素
Joiner joiner = Joiner.on("|").skipNulls();
// 构成一个字符串foo|bar|baz并添加到stringBuilder
stringBuilder = joiner.appendTo(stringBuilder, "foo", "bar", null, "baz");
System.out.println(stringBuilder); // hellofoo|bar|baz
2.2 连接List元素并写到文件流
FileWriter fileWriter = null;
try {
fileWriter = new FileWriter(new File("c:/tmp.txt"));
} catch (Exception e) {
System.out.println(e.getMessage());
}
List<Date> dateList = new ArrayList<Date>();
dateList.add(new Date());
dateList.add(null);
dateList.add(new Date());
// 构造连接器:如果有null元素,替换为no string
Joiner joiner = Joiner.on("#").useForNull("no string");
try {
// 将list的元素的tostring()写到fileWriter,是否覆盖取决于fileWriter的打开方式,默认是覆盖,若有true,则是追加
joiner.appendTo(fileWriter, dateList);
// 必须添加close(),否则不会写文件
fileWriter.close();
} catch (IOException e) {
System.out.println(e.getMessage());
}
最后tmp.txt的内容为:
Wed Apr 14 21:28:24 CST 2021#no string#Wed Apr 14 21:28:24 CST 2021
2.3 将Map转化为字符串
Map<String, String> testMap = Maps.newLinkedHashMap();
testMap.put("Cookies", "12332");
testMap.put("Content-Length", "30000");
testMap.put("Date", "2016.12.16");
testMap.put("Mime", "text/html");
// 用:分割键值对,并用#分割每个元素,返回字符串
String returnedString = Joiner.on("#").withKeyValueSeparator(":").join(testMap);
System.out.println(returnedString);
// Cookies:12332#Content-Length:30000#Date:2016.12.16#Mime:text/html
三、 字符串分割器Splitter
3.1 将字符串分割为Iterable
// 分割符为|,并去掉得到元素的前后空白
Splitter sp = Splitter.on("|").trimResults();
String str = "hello | world | your | Name ";
Iterable<String> ss = sp.split(str);
for(String it : ss){
System.out.println(it);
}
结果为:
hello
world
your
Name
3.2 将字符串转化为Map
// 内部类的引用,得到分割器,将字符串解析为map
String returnedString = "Cookies:12332#Content-Length:30000#Date:2016.12.16#Mime:text/html";
Splitter.MapSplitter ms = Splitter.on("#").withKeyValueSeparator(\':\');
Map<String, String> ret = ms.split(returnedString);
for(String it2 : ret.keySet()){
System.out.println(it2 + " -> " + ret.get(it2));
}
结果为:
Cookies -> 12332
Content-Length -> 30000
Date -> 2016.12.16
Mime -> text/html
四、 字符串工具类Strings
System.out.println(Strings.isNullOrEmpty("")); // true
System.out.println(Strings.isNullOrEmpty(null)); // true
System.out.println(Strings.isNullOrEmpty("hello")); // false
// 将null转化为""
System.out.println(Strings.nullToEmpty(null)); // ""
// 从尾部不断补充T只到总共8个字符,如果源字符串已经达到或操作,则原样返回。类似的有padStart
System.out.println(Strings.padEnd("hello", 8, \'T\')); // helloTTT
五、字符匹配器CharMatcher
5.1 空白一一替换
// 空白回车换行对应换成一个#,一对一换
String stringWithLinebreaks = "hello world\\r\\r\\ryou are here\\n\\ntake it\\t\\t\\teasy";
String s6 = CharMatcher.BREAKING_WHITESPACE.replaceFrom(stringWithLinebreaks,\'#\');
System.out.println(s6); // hello#world###you#are#here##take#it###easy
5.2 连续空白缩成一个字符
// 将所有连在一起的空白回车换行字符换成一个#,倒塌
String tabString = " hello \\n\\t\\tworld you\\r\\nare here ";
String tabRet = CharMatcher.WHITESPACE.collapseFrom(tabString, \'#\');
System.out.println(tabRet); // #hello#world#you#are#here#
5.3 去掉前后空白和缩成一个字符
// 在前面的基础上去掉字符串的前后空白,并将空白换成一个#
String tabString = "#hello#world#you#are#here#";
String trimRet = CharMatcher.WHITESPACE.trimAndCollapseFrom(tabString, \'#\');
System.out.println(trimRet);// hello#world#you#are#here
5.4 保留数字
String letterAndNumber = "1234abcdABCD56789";
// 保留数字
String number = CharMatcher.JAVA_DIGIT.retainFrom(letterAndNumber);
System.out.println(number);// 123456789
六、 断言工具类Preconditions
// 检查是否为null,null将抛出异常IllegalArgumentException,且第二个参数为错误消息。
String trimRet = null;
Preconditions.checkNotNull(trimRet, "label can not be null");
int data = 10;
Preconditions.checkArgument(data < 100, "data must be less than 100");
七、对象工具类 Objects
7.1 Objects的toStringHelper和hashCode方法
class Book implements Comparable<Book>{
private String author;
private String title;
private String publisher;
private String isbn;
private double price;
public String getAuthor() {
return author;
}
public void setAuthor(String author) {
this.author = author;
}
public String getTitle() {
return title;
}
public void setTitle(String title) {
this.title = title;
}
public String getPublisher() {
return publisher;
}
public void setPublisher(String publisher) {
this.publisher = publisher;
}
public String getIsbn() {
return isbn;
}
public void setIsbn(String isbn) {
this.isbn = isbn;
}
public double getPrice() {
return price;
}
public void setPrice(double price) {
this.price = price;
}
// 定义第一二关键字
@Override
public int compareTo(Book o) {
return ComparisonChain.start().compare(this.title, o.title).compare(this.isbn, o.isbn).result();
}
public String toString(){
return MoreObjects.toStringHelper(this).omitNullValues().add("author", author).add("title", title)
.add("publisher", publisher).add("isbn", isbn).add("price", price).toString();
}
public int hashCode(){
return Objects.hashCode(author, title, publisher, isbn, price);
}
}
// Book用Objects的相关方法简化toString(),hashCode()的实现。
// 用ComparisonChain简化compareTo()(Comparable接口)方法的实现。
Book book1 = new Book();
book1.setAuthor("Tom");
book1.setTitle("Children King");
book1.setIsbn("11341332443");
System.out.println(book1);
System.out.println(book1.hashCode());
Book book2 = new Book();
book2.setAuthor("Amy");
book2.setTitle("Children King");
book2.setIsbn("111");
System.out.println(book2);
System.out.println(book2.hashCode());
System.out.println(book1.compareTo(book2));
结果为:
Book{author=Tom, title=Children King, isbn=11341332443, price=0.0}
268414056
Book{author=Amy, title=Children King, isbn=111, price=0.0}
-1726402621
1
7.2 Objects的firstNonNull方法
// 如果第一个为空,则返回第二个,同时为null,将抛出NullPointerException异常
String someString = null;
String value = MoreObjects.firstNonNull(someString, "default value");
System.out.println(value); // deafult value
八、整体迭代接口FluentIterable
8.1 使用Predicate整体过滤
class Person{
private String name;
private String sex;
private int age;
public Person(String name, int age, String sex){
this.name = name;
this.sex = sex;
this.age = age;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public String getSex() {
return sex;
}
public void setSex(String sex) {
this.sex = sex;
}
public int getAge() {
return age;
}
public void setAge(int age) {
this.age = age;
}
@Override
public String toString() {
return "Person{" +
"name=\'" + name + \'\\\'\' +
", sex=\'" + sex + \'\\\'\' +
", age=" + age +
\'}\';
}
}
Person person1 = new Person("Wilma", 30, "F");
Person person2 = new Person("Fred", 32, "M");
Person person3 = new Person("Betty", 32, "F");
Person person4 = new Person("Barney", 33, "M");
List<Person> personList = Lists.newArrayList(person1, person2, person3, person4);
// 过滤年龄大于等于32的person
Iterable<Person> personsFilteredByAge =
FluentIterable.from(personList).filter(new Predicate<Person>() {
@Override
public boolean apply(Person input) {
return input.getAge() > 31;
}
});
// Iterable有一个iterator方法,集合类都有一个Iterator方法
for(Iterator<Person> it = personsFilteredByAge.iterator(); it.hasNext();){
System.out.println(it.next());
}
System.out.println(Iterables.contains(personsFilteredByAge, person2));
结果为:
Person{name=\'Fred\', sex=\'M\', age=32}
Person{name=\'Betty\', sex=\'F\', age=32}
Person{name=\'Barney\', sex=\'M\', age=33}
true
8.2 使用Function整体替换,将List<Person>转化为List<String>
Person person1 = new Person("Wilma", 30, "F");
Person person2 = new Person("Fred", 32, "M");
Person person3 = new Person("Betty", 32, "F");
Person person4 = new Person("Barney", 33, "M");
List<Person> personList = Lists.newArrayList(person1, person2, person3, person4);
// 将List<Person> 转化为 List<String>,数据源为personList。整体迭代。
List<String> transformPersonList = FluentIterable.from(personList).transform(
new Function<Person, String>(){
@Override
public String apply(Person person) {
// 不定参数,返回String类型
return Joiner.on("#").join(person.getName(), person.getSex(), person.getAge());
}
}
).toList();
for(int i = 0; i < transformPersonList.size(); i++){
System.out.println(transformPersonList.get(i));
}
结果为:
Wilma#F#30
Fred#M#32
Betty#F#32
Barney#M#33
九、 集合运算工具类Sets
9.1 集合差
// s1 - s2
Set<String> s1 = Sets.newHashSet("1", "2", "3", "4");
Set<String> s2 = Sets.newHashSet("2", "3", "4", "5");
// 得到第一个集合中有而第二个集合没有的字符串
Sets.SetView res = Sets.difference(s1, s2);
for(Iterator<String> it = res.iterator(); it.hasNext();){
System.out.println(it.next()); // 1
}
9.2 集合对称差
Set<String> s1 = Sets.newHashSet("1", "2", "3", "4");
Set<String> s2 = Sets.newHashSet("2", "3", "4", "5");
Sets.SetView res2 = Sets.symmetricDifference(s1, s2);
for(Object it14 : res2){
System.out.println(it14); // 1 5
}
9.3 集合交
Set<String> s1 = Sets.newHashSet("1", "2", "3", "4");
Set<String> s2 = Sets.newHashSet("2", "3", "4", "5");
// s1和s2的交集
Sets.SetView<String> res3 = Sets.intersection(s1, s2);
for(String it14 : res3){
System.out.println(it14); // 2 3 4
}
9.4 集合并
Set<String> s1 = Sets.newHashSet("1", "2", "3", "4");
Set<String> s2 = Sets.newHashSet("2", "3", "4", "5");
// 合并s1和s2
Sets.SetView<String> res4 = Sets.union(s1, s2);
for(String it14 : res4){
System.out.println(it14); // 1 2 3 4 5
}
十、Function和Predicate
10.1 利用Functions将Map转化为Function
Person person1 = new Person("Wilma", 30, "F");
Person person2 = new Person("Fred", 32, "M");
Person person3 = new Person("Betty", 32, "F");
Person person4 = new Person("Barney", 33, "M");
Map<String, Person> mp = Maps.newHashMap();
mp.put(person1.getName(), person1);
mp.put(person2.getName(), person2);
mp.put(person3.getName(), person3);
mp.put(person4.getName(), person4);
// 将map转化为Function,Function的功能是将一个类型转化为另一个类型
Function<String, Person> lookup = Functions.forMap(mp);
// 如果键值不存在,则会抛出异常。lookup内部已经有元素
Person tmp = lookup.apply("Betty");
System.out.println(tmp == person3); // true
10.2 Predicate单个判断
Person person1 = new Person("Wilma", 30, "F");
Person person2 = new Person("Fred", 32, "M");
Person person3 = new Person("Betty", 32, "F");
Person person4 = new Person("Barney", 33, "M");
Predicate<Person> agePre = new Predicate<Person>(){
@Override
public boolean apply(Person person) {
return person.getAge() < 32;
}
};
Predicate<Person> namePre = new Predicate<Person>(){
@Override
public boolean apply(Person person) {
return person.getName().equals("Betty");
}
};
// 判断是否符合条件
System.out.println(agePre.apply(person2)); // false
System.out.println(agePre.apply(person3)); // false
System.out.println(namePre.apply(person2)); // false
System.out.println(namePre.apply(person3)); // true
10.3 Predicates的and运算
Person person1 = new Person("Wilma", 30, "F");
Person person2 = new Person("Fred", 32, "M");
Person person3 = new Person("Betty", 32, "F");
Person person4 = new Person("Barney", 33, "M");
Predicate<Person> agePre = new Predicate<Person>(){
@Override
public boolean apply(Person person) {
return person.getAge() < 32;
}
};
Predicate<Person> namePre = new Predicate<Person>(){
@Override
public boolean apply(Person person) {
return person.getName().equals("Betty");
}
};
// 利用Predicates工具类,同时满足两个条件成一个predicate
Predicate<Person> both = Predicates.and(agePre, namePre);
System.out.println(both.apply(person1)); // false
System.out.println(both.apply(person3)); // false
10.4 Predicates的or运算
Person person1 = new Person("Wilma", 30, "F");
Person person2 = new Person("Fred", 32, "M");
Person person3 = new Person("Betty", 32, "F");
Person person4 = new Person("Barney", 33, "M");
Predicate<Person> agePre = new Predicate<Person>(){
@Override
public boolean apply(Person person) {
return person.getAge() < 32;
}
};
Predicate<Person> namePre = new Predicate<Person>(){
@Override
public boolean apply(Person person) {
return person.getName().equals("Betty");
}
};
// 至少一个满足组成一个Predicate
Predicate<Person> orPre = Predicates.or(agePre, namePre);
System.out.println(orPre.apply(person2)); // false
10.5 Predicates的compose运算
Person person1 = new Person("Wilma", 30, "F");
Person person2 = new Person("Fred", 32, "M");
Person person3 = new Person("Betty", 32, "F");
Person person4 = new Person("Barney", 33, "M");
Map<String, Person> mp = Maps.newHashMap();
mp.put(person1.getName(), person1);
mp.put(person2.getName(), person2);
mp.put(person3.getName(), person3);
mp.put(person4.getName(), person4);
Predicate<Person> agePre = new Predicate<Person>(){
@Override
public boolean apply(Person person) {
return person.getAge() < 32;
}
};
Predicate<Person> namePre = new Predicate<Person>(){
@Override
public boolean apply(Person person) {
return person.getName().equals("Betty");
}
};
// 通过键name获得值Person,然后检查Person的age < 32,即agepre.apply(lookup.apply(name)) == true?
// lookup内部已经有集合
Function<String, Person> lookup = Functions.forMap(mp);
Predicate<String> two = Predicates.compose(agePre, lookup);
System.out.println(two.apply("Wilma")); // true
十一、 Map工具类Maps
Person person1 = new Person("Wilma", 30, "F");
Person person2 = new Person("Fred", 32, "M");
Person person3 = new Person("Betty", 32, "F");
Person person4 = new Person("Barney", 33, "M");
List<Person> personList = Lists.newArrayList(person1, person2, person3, person4);
// 将List<Person> 转化为Map<String, Person>,其中键值对是person.name -> Person
Map<String, Person> myMp = Maps.uniqueIndex(personList, new Function<Person, String>(){
// name作为person的键
@Override
public String apply(Person person) {
return person.getName();
}
});
for(String name : myMp.keySet()){
System.out.println(myMp.get(name));
}
结果为:
Person{name=\'Wilma\', sex=\'F\', age=30}
Person{name=\'Fred\', sex=\'M\', age=32}
Person{name=\'Betty\', sex=\'F\', age=32}
Person{name=\'Barney\', sex=\'M\', age=33}
十二、一键多值类Multimap
12.1 数组存储多值类ArrayListMultimap
// 用ArrayList保存,一键多值,值不会被覆盖
ArrayListMultimap<String, String> multimap = ArrayListMultimap.create();
multimap.put("foo", "1");
multimap.put("foo", "2");
multimap.put("foo", "3");
multimap.put("bar", "a");
multimap.put("bar", "a");
multimap.put("bar", "b");
for(String it20 : multimap.keySet()){
// 返回类型List<String>
System.out.println(it20 + " : " + multimap.get(it20));
}
// 返回所有ArrayList的元素个数的和
System.out.println(multimap.size());
结果为:
bar : [a, a, b]
foo : [1, 2, 3]
6
12.2 HashTable存储多值类 HashMultimap
//这里采用HashTable保存
HashMultimap<String, String> hashMultimap = HashMultimap.create();
hashMultimap.put("foo", "1");
hashMultimap.put("foo", "2");
hashMultimap.put("foo", "3");
// 重复的键值对值保留一个
hashMultimap.put("bar", "a");
hashMultimap.put("bar", "a");
hashMultimap.put("bar", "b");
for(String it20 : hashMultimap.keySet()){
// 返回类型List<String>
System.out.println(it20 + " : " + hashMultimap.get(it20));
}
// 5
System.out.println(hashMultimap.size());
结果为:
bar : [a, b]
foo : [1, 2, 3]
5
十三、多键类Table
13.1 两个键操作
// 两个键row key和column key,其实就是map中map, map<Integer, map<Integer, String> > mp
HashBasedTable<Integer, Integer, String> table = HashBasedTable.create();
table.put(1, 1, "book");
table.put(1, 2, "turkey");
table.put(2, 2, "apple");
System.out.println(table.get(1, 1)); // book
System.out.println(table.contains(2, 3)); // false
System.out.println(table.containsRow(2)); // true
table.remove(2, 2);
System.out.println(table.get(2, 2)); // null
13.2 获取一个Map
// 两个键row key和column key,其实就是map中map, map<Integer, map<Integer, String> > mp
HashBasedTable<Integer, Integer, String> table = HashBasedTable.create();
table.put(1, 1, "book");
table.put(1, 2, "turkey");
table.put(2, 2, "apple");
// 获取单独的一个map
Map<Integer, String> row = table.row(1);
Map<Integer, String> column = table.column(2);
System.out.println(row.get(1)); // book
System.out.println(column.get(1)); // turkey
System.out.println(column.get(2)); // turkey
十四、 可以通过value获取key的HashBiMap
14.1 value不可以有相同的key
BiMap<String, String> biMap = HashBiMap.create();
// value可以作为Key,即value不可以有多个对应的值
biMap.put("hello", "world");
biMap.put("123", "tell");
biMap.put("123", "none"); // 覆盖tell
// biMap.put("abc", "world"); // 失败
// 下面是强制替换第一对
biMap.forcePut("abc", "world");
System.out.println(biMap.size()); // 2
System.out.println(biMap.get("hello"));// null
System.out.println(biMap.get("abc")); // world
System.out.println(biMap.get("123")); // none
14.2 键值对互换得到新的BiMap
BiMap<String, String> biMap = HashBiMap.create();
// value可以作为Key,即value不可以有多个对应的值
biMap.put("hello", "world");
biMap.put("123", "tell");
biMap.put("123", "none"); // 覆盖tell
// biMap.put("abc", "world"); // 失败
// 下面是强制替换第一对
biMap.forcePut("abc", "world");
// 键值对互换
BiMap<String, String> inverseMap = biMap.inverse();
System.out.println(inverseMap.get("world")); // abc
System.out.println(inverseMap.get("tell")); // null
System.out.println(inverseMap.get(null)); // null
十五、不可变集合类ImmutableListMultimap
// 不可变的集合,都有一个Builder内部类。不可以修改和添加
Multimap<Integer, String> map = new ImmutableListMultimap.Builder<Integer, String>().put(1, "hello")
.putAll(2, "abc", "log", "in").putAll(3, "get", "up").build();
System.out.println(map.get(2)); // [abc, log, in]
十六、 区间工具类Range
// 闭区间
Range<Integer> closedRange = Range.closed(30, 33);
System.out.println(closedRange.contains(30)); // true
System.out.println(closedRange.contains(33)); // true
// 开区间
Range<Integer> openRange = Range.open(30, 33);
System.out.println(openRange.contains(30)); // false
System.out.println(openRange.contains(33)); // false
Function<Person, Integer> ageFunction = new Function<Person, Integer>(){
@Override
public Integer apply(Person person) {
return person.getAge();
}
};
Person person1 = new Person("Wilma", 30, "F");
// Range实现了Predicate接口,这里的第一个参数是Predicate,第二个参数是Function
// ageFunction必须返回整数
Predicate<Person> agePredicate = Predicates.compose(closedRange, ageFunction);
System.out.println(agePredicate.apply(person1)); // person1.age == 30 true
十七、比较器工具类 Ordering
17.1 逆置比较器
// 自定义比较器,嵌入式的比较器,匿名类。注意这里有两个person参数,与Comparable的区别
Comparator<Person> ageCmp = new Comparator<Person>(){
// Ints是Guava提供的,递增
@Override
public int compare(Person o1, Person o2) {
return Ints.compare(o1.getAge(), o2.getAge());
}
};
List<Person> list = Lists.newArrayList(person1, person2, person3, person4);
// 将比较器转化为Ordering,得到比较器ageCmp的相反比较器,递减
Collections.sort(list, Ordering.from(ageCmp).reverse());
for(Iterator<Person> iter = list.iterator(); iter.hasNext(); ){
System.out.println(iter.next());
}
结果为:
Person{name=\'Barney\', sex=\'M\', age=33}
Person{name=\'Fred\', sex=\'M\', age=32}
Person{name=\'Betty\', sex=\'F\', age=32}
Person{name=\'Wilma\', sex=\'F\', age=30}
17.2 组合多个比较器
// 按照名字排序
Comparator<Person> nameCmp = new Comparator<Person>(){
@Override // 两个对象,而Comparable是this和一个对象
public int compare(Person o1, Person o2) {
return o1.getName().compareTo(o2.getName());
}
};
// 组合两个比较器,得到第一二排序关键字
// 年龄相同时按照名字排序
Ordering order = Ordering.from(ageCmp).compound(nameCmp);
Collections.sort(list, order);
for(Iterator<Person> iter = list.iterator(); iter.hasNext(); ){
System.out.println(iter.next());
}
结果为:
Person{name=\'Wilma\', sex=\'F\', age=30}
Person{name=\'Betty\', sex=\'F\', age=32}
Person{name=\'Fred\', sex=\'M\', age=32}
Person{name=\'Barney\', sex=\'M\', age=33}
17.3 直接获取最小几个和最大几个
Ordering order2 = Ordering.from(nameCmp);
// 最小的两个,无序
System.out.println("least 2...");
List<Person> least = order2.leastOf(personList, 2);
for(int i = 0; i < 2; i++){
System.out.println(least.get(i));
}
// 最大的三个,无序
System.out.println("greatest 3....");
List<Person> great = order2.greatestOf(personList, 3);
for(int i = 0; i < 3; i++){
System.out.println(great.get(i));
}
结果为:
least 2...
Person{name=\'Barney\', sex=\'M\', age=33}
Person{name=\'Betty\', sex=\'F\', age=32}
greatest 3....
Person{name=\'Wilma\', sex=\'F\', age=30}
Person{name=\'Fred\', sex=\'M\', age=32}
Person{name=\'Betty\', sex=\'F\', age=32}
十八、 文件工具类Files
18.1 复制移动重命名文件
// 文件操作:复制,移动,重命名
File originFile = new File("C:/tmp.txt");
File copyFile = new File("C:/tmp_copy.txt");
File mvFile = new File("C:/tmp_move.txt");
try {
Files.copy(originFile, copyFile);
Files.move(copyFile, mvFile); // 重命名
} catch (IOException e) {
e.printStackTrace();
}
18.2 获取文件哈希码
File originFile = new File("C:/tmp.txt");
File copyFile = new File("C:/tmp_copy.txt");
File mvFile = new File("C:/tmp_move.txt");
try {
// File,HashFunction
HashCode hashCode = Files.hash(originFile, Hashing.md5());
System.out.println(originFile.getName() + " : " + hashCode);
} catch (IOException e) {
e.printStackTrace();
}
结果为:abc.java : 66721c8573de09bd17bafac125e63e98
18.3 读取文件流,将文件行转化为List
// 文件操作:复制,移动,重命名
File originFile = new File("C:/tmp.txt");
File copyFile = new File("C:/tmp_copy.txt");
File mvFile = new File("C:/tmp_move.txt");
// 读文件流
int lineNumber = 1;
try {
// 读出所有的行到list中,去掉\\n
List<String> list2 = Files.readLines(mvFile, Charsets.UTF_8);
for(Iterator<String> it = list2.iterator(); it.hasNext();){
System.out.println("line " + lineNumber + ":" + it.next());
lineNumber++;
}
} catch (IOException e) {
e.printStackTrace();
}
结果
line 1:Wed Apr 14 21:28:24 CST 2021
line 2:#no string#Wed Apr 14 21:28:24 CST 2021
18.4 将文件行进行处理,再得到List
class TitleLineProcessor implements LineProcessor<List<String>>{
private final static int INDEX = 0;
private final static Splitter splitter = Splitter.on(",");
private List<String> titles = new ArrayList<String>();
// 每一行都会调用这个函数,进而追加成一个list
@Override
public boolean processLine(String s) throws IOException {
// 获取第一项,并追加到titles
titles.add(Iterables.get(splitter.split(s), INDEX));
return true;
}
// 最终的结果
@Override
public List<String> getResult() {
return titles;
}
}
File bookFile = new File("C:/tmp.txt");
try {
// 只取书名
List<String> list3 = Files.readLines(bookFile, Charsets.UTF_8, new TitleLineProcessor());
for(Iterator<String> it = list3.iterator(); it.hasNext();){
System.out.println(it.next());
}
} catch (IOException e) {
e.printStackTrace();
}
十九、 读输入字节流ByteSource和写输出字节流ByteSink
File writeFile = new File("C:/tmp.txt");
// source是源的意思,封装输入流
ByteSource byteSource = Files.asByteSource(writeFile);
try {
byte[] contents1 = byteSource.read();
byte[] contents2 = Files.toByteArray(writeFile); // 两个方法的作用相同
for(int i = 0; i < contents1.length; i++){
assert(contents1[i] == contents2[i]);
System.out.print(contents1[i] + " ");
}
} catch (IOException e) {
e.printStackTrace();
}
// sink是目的地的意思,封装输出流,流会自动关闭
File tmpFile = new File("C:/tmp2.txt"); // acd
ByteSink byteSink = Files.asByteSink(tmpFile);
try {
byteSink.write(new byte[]{\'a\', \'c\', \'d\', \'\\n\'});
} catch (IOException e) {
e.printStackTrace();
}
二十、 编码工具类BaseEncoding
File writeFile = new File("C:/tmp.txt");
BaseEncoding baseEncoding = BaseEncoding.base64();
try {
byte[] content = Files.toByteArray(writeFile);
String encoded = baseEncoding.encode(content); // 将不可打印的字符串转化为可以打印的字符串A-Za-z0-9/+=,pdf不是纯文本文件
System.out.println("encoded:\\n" + encoded);
System.out.println(Pattern.matches("[A-Za-z0-9/+=]+", encoded));
// 获得对应的加密字符串,可以解密,可逆的,得到原来的字节
byte[] decoded = baseEncoding.decode(encoded);
for(int i = 0; i < content.length; i++){
assert(content[i] == decoded[i]);
}
} catch (IOException e) {
e.printStackTrace();
}
二十一、 提醒处理null的类Optional
Optional<Person> optional = Optional.fromNullable(person1); // 允许参数为null
System.out.println(optional.isPresent()); // true
System.out.println(optional.get() == person1); // 如果是person1 == null,get将抛出IllegalStateException, true
Optional<Person> optional2 = Optional.of(person1); // 不允许参数为null。如果person1 == null, 将抛出NullPointerException
System.out.println(optional2.isPresent()); // true
以上是关于Guava工具类使用的主要内容,如果未能解决你的问题,请参考以下文章