86 lines
2.5 KiB
Markdown
86 lines
2.5 KiB
Markdown
一款纯粹的Java序列化框架
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====================
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### 特性
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- **纯粹**, 严格按照字节顺序和长度写入，不产生额外的描述性信息；
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- **性能**, 基于Netty的ByteBuf，可使用池化内存与堆外内存提升性能；
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- **多版本**, 同一个Class支持多个版本的配置。
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### 场景
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- 适用于多数序列化场景，用于传输或存储对象；
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- 开发初期的目的是为了解析部标、国标相关的通讯协议。
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### 使用
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```java
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public class Test {
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public static void main(String[] args) {
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//开启序列化过程分析
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FieldFactory.EXPLAIN = true;
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//获得多个版本的协议定义
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Map<Integer, Schema<Foo>> multiVersionSchema = ProtostarUtil.getSchema(Foo.class);
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//默认的版本是0
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Schema<Foo> schema = multiVersionSchema.get(0);
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//使用netty的Unpooled申请初始32字节的空间
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ByteBuf buffer = Unpooled.buffer(32);
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//将foo写入到缓冲区
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schema.writeTo(buffer, foo());
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String hex = ByteBufUtil.hexDump(buffer);
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System.out.println(hex);
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//将缓冲区的字节解析为对象
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Foo foo = schema.readFrom(buffer);
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System.out.println(foo);
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}
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public static Foo foo() {
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Foo foo = new Foo();
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foo.setName("张三");
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foo.setId(128);
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foo.setDateTime(LocalDateTime.of(2020, 7, 7, 19, 23, 59));
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return foo;
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}
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public static class Foo {
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private String name;
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private int id;
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private LocalDateTime dateTime;
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@Field(index = 0, type = DataType.STRING, lengthSize = 1, desc = "名称")
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public String getName() {
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return name;
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}
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public void setName(String name) {
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this.name = name;
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}
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@Field(index = 1, type = DataType.WORD, desc = "ID")
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public int getId() {
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return id;
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}
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public void setId(int id) {
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this.id = id;
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}
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@Field(index = 3, type = DataType.BCD8421, desc = "日期")
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public LocalDateTime getDateTime() {
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return dateTime;
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}
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public void setDateTime(LocalDateTime dateTime) {
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this.dateTime = dateTime;
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}
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}
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}
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```
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### 代码仓库
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当前项目是Fork [剑器近](https://gitee.com/yezhihao) 的 [https://gitee.com/yezhihao/protostar/tree/master](https://gitee.com/yezhihao/protostar/tree/master)
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更多的例子请参考Test目录
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