coinex // 撮合引擎 逻辑流程 (两种数据源 初始化源和前端源)

目录

1 生产者 数据源

1.1. match-server 一启动 初始化数据 自动查询数据库 查询level2要展示的数据

1.2 match-server接收 前端发给Exchange-server的数据

2. 将查询/接受的数据EntrustOrder 转成 Order 解耦 过滤掉不要的属性

3.Order转成 OrderEvent

4. 分配序号发布数据到ringbuffer,管理序号和栅栏(前提是ringbuffer构建好了)

5 分配序号 发布数据到ringbuffer

5.1. 初始化数据源实现的代码 循环每一条数据转换 分配序号 发布数据到ringbuffer

5.2 前端数据源

1 生产者 数据源

1.1 match-server 一启动 初始化数据 自动查询数据库 查询level2要展示的数据

List<EntrustOrder> entrustOrders = entrustOrderMapper.selectList(new LambdaQueryWrapper<EntrustOrder>().eq(EntrustOrder::getStatus, 0).orderByAsc(EntrustOrder::getCreated)

1.2 match-server接收 前端发给Exchange-server的数据

 @StreamListener("order_in") // "order_in" 在 Sink中public void handleMessage(EntrustOrder entrustOrder) { // 消息监听}

2. 将查询/接受的数据EntrustOrder 转成 Order 解耦 过滤掉不要的属性

public static  Order entrustOrder2Order(EntrustOrder entrustOrder) {Order order = new Order();order.setOrderId(entrustOrder.getId().toString());order.setPrice(entrustOrder.getPrice());order.setAmount(entrustOrder.getVolume().subtract(entrustOrder.getDeal())); // 交易的数量= 总数量- 已经成交的数量order.setSymbol(entrustOrder.getSymbol());order.setOrderDirection(OrderDirection.getOrderDirection(entrustOrder.getType().intValue())); // 交易sideorder.setTime(entrustOrder.getCreated().getTime());return order ;}

3.Order转成 OrderEvent

// 使用事件转换器的好处，1环形队列获取序号， 2拿到事件填充数据， 3再发布序号 省了从2给 事件填充数据 private static final EventTranslatorOneArg<OrderEvent, Order> TRANSLATOR = new EventTranslatorOneArg<OrderEvent, Order>() { // Order 转化成 OrderEvent// 现在上面实例化 然后 在下面 实现/*** Translate a data representation into fields set in given event 将数据表示转换为给定事件中设置的字段* Params:参数* event*  into which the data should be translated. 要转成什么data* sequence 序列* that is assigned to event. 分配给事件的序列。* arg0* The first user specified argument to the translator 转换器的第一个用户指定参数*/public void translateTo(OrderEvent event, long sequence, Order input) {event.setSource(input);} // setSource 是 source的 set方法};

4. 分配序号发布数据到ringbuffer,管理序号和栅栏(前提是ringbuffer构建好了)

/*** 我们使用DisruptorTemplate 时,就使用它的onData方法* @param input** public <A> void publishEvent(EventTranslatorOneArg<E, A> translator, A arg0)*     {*         final long sequence = sequencer.next();*         translateAndPublish(translator, sequence, arg0);*     }* private <A> void translateAndPublish(EventTranslatorOneArg<E, A> translator, long sequence, A arg0)*     {*         try*         {*             translator.translateTo(get(sequence), sequence, arg0);*         }*         finally*         {*             sequencer.publish(sequence);*         }*     }**     void publish(long sequence);**/public void onData(Order input) {ringBuffer.publishEvent(TRANSLATOR, input); // 这个就是分配序号 然后发布数据到ringbuffer}

5 分配序号 发布数据到ringbuffer

5.1. 初始化数据源 从数据查询数据 循环每一条数据转换 分配序号 发布数据到ringbuffer

for (EntrustOrder entrustOrder : entrustOrders) {disruptorTemplate.onData(BeanUtils.entrustOrder2Order(entrustOrder)); // 往ringbuffer 中放 // BeanUtils.entrustOrder2Order 数据转换} // BeanUtils.entrustOrder2Order(entrustOrder) 是数据转换 就是从entrustOrder  筛选出 Order 需要的属性数据

5.2 前端数据源 高频多生产者 每次一条数据

exchange-service 发送消息到match

disruptorTemplate.onData(BeanUtils.entrustOrder2Order(entrustOrder));

6 disruptorTemplate.onData 源码

onData

public void onData(Order input) {ringBuffer.publishEvent(TRANSLATOR, input); // 这个就是分配序号 然后发布数据到ringbuffer}

TRANSLATOR

// 先用 EventTranslatorOneArg方法做了个 TRANSLATOR 再调用publishEvent方法
private static final EventTranslatorOneArg<OrderEvent, Order> TRANSLATOR = new EventTranslatorOneArg<OrderEvent, Order>() { // Order 转化成 OrderEventpublic void translateTo(OrderEvent event, long sequence, Order input) {event.setSource(input);} // setSource 是 source的 set方法};

publishEvent

@Overridepublic <A> void publishEvent(EventTranslatorOneArg<E, A> translator, A arg0){final long sequence = sequencer.next(); // 单生成者就是 但生产者中得next算法 1:43:28 // https://www.bilibili.com/video/BV1zM4y1L7Q9/?spm_id_from=333.337.search-card.all.click&vd_source=ff8b7f852278821525f11666b36f180atranslateAndPublish(translator, sequence, arg0);}

 translateAndPublish

private <A> void translateAndPublish(EventTranslatorOneArg<E, A> translator, long sequence, A arg0){try{translator.translateTo(get(sequence), sequence, arg0);}finally{sequencer.publish(sequence);}}

EventTranslatorOneArg 

public interface EventTranslatorOneArg<T, A>
{/*** Translate a data representation into fields set in given event** @param event    into which the data should be translated.* @param sequence that is assigned to event.* @param arg0     The first user specified argument to the translator*/void translateTo(T event, long sequence, A arg0);
}

translateTo 自定义 还是调用?

private static final EventTranslatorOneArg<OrderEvent, Order> TRANSLATOR = new EventTranslatorOneArg<OrderEvent, Order>() { // Order 转化成 OrderEventpublic void translateTo(OrderEvent event, long sequence, Order input) {event.setSource(input);} // setSource 是 source的 set方法};

Sequencer

public interface Sequencer extends Cursored, Sequenced
{
}

Sequenced ->publish

public interface Sequenced
{/*** Publishes a sequence. Call when the event has been filled.** @param sequence the sequence to be published.*/void publish(long sequence); // 操作: publish 序号
}