Java8快速读取和写入文件.png
话不多说,先看题:
随机生成 Salary {name, baseSalary, bonus }
的记录,如“wxxx,10,1”,每行一条记录,总共1000万记录,写入文本文件(UFT-8编码), 然后读取文件,name的前两个字符相同的,其年薪累加,比如wx,100万,3个人,最后做排序和分组,输出年薪总额最高的10组:
wx | 200万 | 10人 |
lt | 180万 | 8人 |
... | ... | ... |
name 4位a-z随机,baseSalary [0,100]
随机 bonus[0-5]
随机 ,年薪总额 = baseSalary*13 + bonus。
思路:
第一步:先编写一个Salary对象
里面包含有name
,baseSalary
, bounus
属性,然后编写一个构造器,重写toString()
方法方便序列化数据,同时编写构建Salary对象的方法build()
;
/**
* name 4位a-z随机
* baseSalary 0-100随机
* bonus 0-5随机
* 年薪总额 = baseSalary * 13 + bonus
*/
class Salary {
// name 4位a-z随机,baseSalary 0-100随机,bonus 0-5随机 年薪总额 = baseSalary * 13 + bonus
private String name;
private int baseSalary;
private int bonus;
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public int getBaseSalary() {
return baseSalary;
}
public void setBaseSalary(int baseSalary) {
this.baseSalary = baseSalary;
}
public int getBonus() {
return bonus;
}
public void setBonus(int bonus) {
this.bonus = bonus;
}
public Salary() {
}
public Salary(String name, int baseSalary, int bonus) {
this.name = name;
this.baseSalary = baseSalary;
this.bonus = bonus;
}
public Salary build() {
this.name = getRandomName(4);
// 0-100随机数
this.baseSalary = (int)(100 * Math.random());
// 0-5随机数
this.bonus = (int)(5 * Math.random());
return this;
}
@Override
public String toString() {
return name + " " + baseSalary + " " + bonus;
}
/**
* 生产Name随机函数 4位a-z随机
* @param length
* @return
*/
private static String getRandomName(int length ){
String base = "abcdefghijklmnopqrstuvwxyz";
Random random = new Random();
StringBuffer sb = new StringBuffer();
for ( int i = 0; i < length; i++ ){
int number = random.nextInt(base.length());
sb.append(base.charAt(number));
}
return sb.toString();
}
}
第二步:编写写入方法
a) 第一种方式,使用Java的IO中BufferedWriter
写入文件
/**
* 写入文件
* @return
* @throws IOException
*/
public static File writeBuffer() throws IOException {
File file = new File(FILE_NAME);
FileOutputStream fos = new FileOutputStream(file);
BufferedWriter writer = new BufferedWriter(new OutputStreamWriter(fos));
int i = AMOUNT;
while(i > 0) {
Salary salary = new Salary().build();
writer.write(salary.toString() + "\r\n");
i --;
}
writer.close();
fos.close();
return file;
}
b) 第二种方式,使用JAVA的NIO中的FileChannel进行写入
/**
* NIO进行写入
* @throws IOException
*/
private static void writeNIO() throws IOException {
FileOutputStream fos = new FileOutputStream(FILE_NAME, true);
FileChannel channel = fos.getChannel();
int i = AMOUNT;
StringBuffer content = new StringBuffer();
while(i > 0) {
Salary salary = new Salary().build();
content.append(salary.toString()).append("\r\n");
i --;
}
ByteBuffer buf = ByteBuffer.wrap(content.toString().getBytes());
buf.put(content.toString().getBytes());
buf.flip();
channel.write(buf);
channel.close();
fos.close();
}
比较下来,单纯从这个代码的性能上讲差不太多!
第三步:读取并解析文件在进行排序
a) 通过JAVA的IO进行读取:
/**
* Java IO读取文件的方式
* @return
* @throws Exception
*/
public static List readFileIO() throws Exception {
File file = new File(FILE_NAME);
List list = new ArrayList<>();
InputStreamReader reader = new InputStreamReader(new FileInputStream(file)); // 建立一个输入流对象reader
BufferedReader br = new BufferedReader(reader); // 建立一个对象,它把文件内容转成计算机能读懂的语言
String line = ""; // 每一行的内容
int i = 1;
while ((line = br.readLine()) != null) {
String[] split = line.trim().split(" ");// .trim()可以去掉首尾多余的空格
list.add(new Salary(split[0], Integer.valueOf(split[1]), Integer.valueOf(split[2]))); // 添加一个Salary实体
i++;
}
reader.close();
br.close();
return list;
}
b) 通过JAVA的NIO读取:
/**
* JDK8 NIO读取文件
* @return
* @throws Exception
*/
public static List readFileNIO() throws Exception {
List list = new ArrayList<>();
Files.lines(Paths.get(FILE_NAME)).forEach(line -> {
String[] split = line.trim().split(" ");// .trim()可以去掉首尾多余的空格
list.add(new Salary(split[0], Integer.valueOf(split[1]), Integer.valueOf(split[2]))); // 添加一个Salary实体
});
return list;
}
二者比较下来:使用jdk1.8读取更简单,效率性能更高!
第四步:使用JDK8的Stream进行排序和截取
/**
* 排序并获取前十数据
* @param salaries
*/
public static void sort(List salaries) {
Map result = new HashMap<>();
salaries.forEach(salary -> {
String shortName = salary.getName().substring(0, 2);
GroupSalary groupSalary = null;
List salaryList = null;
if (result.containsKey(shortName)) {
groupSalary = result.get(shortName);
salaryList = groupSalary.getSalaries();
} else {
groupSalary = new GroupSalary();
salaryList = new ArrayList<>();
groupSalary.setSalaries(salaryList);
}
salaryList.add(salary);
groupSalary.setShortName(shortName);
groupSalary.setTotal(groupSalary.getTotal() + salary.getBaseSalary() * 13 + salary.getBonus());
result.put(shortName, groupSalary);
});
List r = result.entrySet().stream()
.sorted((Map.Entry o1, Map.Entry o2) -> o2.getValue().getTotal() - o1.getValue().getTotal())
.map(entry -> entry.getValue()).collect(Collectors.toList()).subList(0,10);
r.forEach(groupSalary -> {
System.out.println(groupSalary.getShortName() + " " + groupSalary.getTotal() + " " + groupSalary.getSalaries().size());
});
}
同时将数据封装在GroupSalary中
class GroupSalary {
private List salaries;
private String shortName;
private int total;
public List getSalaries() {
return salaries;
}
public void setSalaries(List salaries) {
this.salaries = salaries;
}
public String getShortName() {
return shortName;
}
public void setShortName(String shortName) {
this.shortName = shortName;
}
public int getTotal() {
return total;
}
public void setTotal(int total) {
this.total = total;
}
}
到此如果写入100W数据基本上1分钟不到就可以完成写入和读取,欢迎大家进行改写和优化。