feat(ingress): 实现 JDBC 信箱轮询、入站持久化与对拍测试 (U05)

This commit is contained in:
windyboy
2026-09-07 15:11:33 +08:00
parent dc68f1e1f8
commit c7b4b527ef
51 changed files with 1005 additions and 235 deletions
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package com.gzzn.omms.msgexchange.delivery
import com.fasterxml.jackson.databind.ObjectMapper
import com.gzzn.omms.msgexchange.config.PipelineProps
import com.gzzn.omms.msgexchange.domain.ErrorClass
import com.gzzn.omms.msgexchange.domain.EventStatus
import com.gzzn.omms.msgexchange.domain.MsgEvent
import com.gzzn.omms.msgexchange.domain.Targets
import com.gzzn.omms.msgexchange.infra.persistence.MsgEventRepository
import com.gzzn.omms.msgexchange.infra.retry.FailureScheduler
import jakarta.inject.Singleton
import java.time.Duration
import java.time.Instant
/** 对外投递端口(Kafka 同步确认;阶段 B 追加 ES/Redis 投影写入)。 */
interface DeliveryPort {
/** Kafka 发送(同步确认,at-least-once)。topic 由 target 映射:KAFKA:msg→"msg"KAFKA:schd→"schd"。 */
fun sendKafka(topic: String, payloadJson: String)
/** 阶段 BES flight_hts 写入。 */
fun indexFlightHts(payloadJson: String)
/** 阶段 B:Redis 投影写(仅阶段 BI5Delivery 阶段 A 不写 Redis)。 */
fun projectRedis(payloadJson: String)
/** 连通性探测(健康检查用);默认 true,真实 Kafka 实装时覆写为 producer metadata 校验。 */
fun ping(): Boolean = true
}
/**
* ACMA-8 流程 3:投递调度——每 target 严格 FIFO(I1 双层同策略)。
* N03U06):KAFKA_SCHD 不走逐条循环(唯一出口是 flushSchd 批量聚合),逐条循环显式排除。
* U08 闭环:逐条与批量失败都在持有具体事件/批次的边界完成状态迁移——
* · 逐条:scheduleRetry(attempts+1, backoff) / 达上限 markDead(EXHAUSTED)DLQ 保留行);
* · 批量(flushSchd):整批退避,队首 nextAttemptAt 未到不 claim;达上限整批 DEAD/DLQ
* · loop 只作最后防线,不吞 InterruptedException(致命/中断错误不被普通恢复吞掉)。
*/
@Singleton
class Dispatcher(
private val msgEvents: MsgEventRepository,
private val port: DeliveryPort,
private val props: PipelineProps,
private val scheduler: FailureScheduler,
) {
private val log = org.slf4j.LoggerFactory.getLogger(Dispatcher::class.java)
@Volatile
private var running = true
private var lastFlush: Instant = Instant.EPOCH
/** 优雅停机:loop 收尾后退出;线程中断由 Runner 负责。 */
fun stop() {
running = false
}
fun loop() {
while (running) {
try {
tick()
} catch (e: InterruptedException) {
Thread.currentThread().interrupt()
return
} catch (e: Exception) {
// U08:投递循环只作最后防线;致命 Error 不吞。tick 内失败迁移已完成。
sleepQuietly(props.pipeline.pollInterval)
}
// N18:轮询间隔取参数表(下限 50ms,避免退避节律被吞)
sleepQuietly(props.pipeline.pollInterval.coerceAtLeast(Duration.ofMillis(50)))
}
}
internal fun tick() {
val targets = if (props.phase == PipelineProps.Phase.A) Targets.phaseA else Targets.phaseB
for (t in targets) {
if (t == Targets.KAFKA_SCHD) continue // N03schd 唯一出口 flushSchd
val head = msgEvents.headUnsent(t) ?: continue
if (head.state == EventStatus.PENDING && head.nextAttemptAt != null && head.nextAttemptAt > scheduler.now()) {
// 队头退避未到期:等待,不跳过(保序);超时升级归 U13(WP2)
continue
}
try {
deliver(t, head)
msgEvents.markSent(head.eventId!!)
log.debug("sent target={} eventId={}", t, head.eventId)
if (t == Targets.ES_FLIGHT_HTS && props.phase == PipelineProps.Phase.B) {
// 定案 2:ES 投递成功 → 同线程同步 enqueue 删除事件(不轮询 ack
msgEvents.insertSync(listOf(MsgEvent(target = Targets.REDIS_FLIGHT_INFO, payloadJson = deleteOf(head))))
}
} catch (e: Exception) {
retryOrDead(head, e.message ?: "unknown")
}
}
if (flushDue()) {
flushSchd()
}
}
private fun flushDue(): Boolean =
Duration.between(lastFlush, scheduler.now()) >= props.schd.flushPeriod
/** 单条事件失败迁移:attempts+1;达上限 DEAD(EXHAUSTED)DLQattempts 落库审计),否则退避重试。 */
private fun retryOrDead(e: MsgEvent, lastError: String) {
val attempts = e.attempts + 1
if (scheduler.exhausted(attempts)) {
log.error("event DEAD(DLQ) eventId={} attempts={} lastError={}", e.eventId, attempts, lastError)
msgEvents.markDead(e.eventId!!, ErrorClass.EXHAUSTED, lastError, attempts)
} else {
log.warn("event retry scheduled eventId={} attempts={} nextAttemptAt={}", e.eventId, attempts, scheduler.nextAttemptAt(attempts))
msgEvents.scheduleRetry(e.eventId!!, scheduler.nextAttemptAt(attempts), attempts)
}
}
private fun deliver(target: String, e: MsgEvent) = when (target) {
Targets.KAFKA_MSG -> port.sendKafka("msg", e.payloadJson)
Targets.KAFKA_SCHD -> error("KAFKA_SCHD must go through flushSchd (N03)")
Targets.ES_FLIGHT_HTS -> port.indexFlightHts(e.payloadJson)
Targets.REDIS_FLIGHT_INFO -> port.projectRedis(e.payloadJson)
else -> error("unknown target $target")
}
private val jsonMapper = ObjectMapper()
/**
* U14:删除事件 wire JSON 结构化序列化——refs 可空,产出必须恒为合法 JSON
* null → null 字面量;非空 → 带引号并转义)。禁止字符串模板拼接。
*/
private fun deleteOf(e: MsgEvent): String =
jsonMapper.writeValueAsString(linkedMapOf("op" to "delete", "refs" to e.partitionKey))
/**
* 流程 3 flushSchd:批上限 + 每 FLID 最新一态聚合(topic "schd"wire=FLTR JSON 数组)。
* U08 批量闭环:队首退避未到期不 claim;发送失败 → 整批 attempts+1(退避)或达上限整批 DEAD/DLQ;
* lastFlush 仅在成功(含空批)后推进。
*/
internal fun flushSchd() {
val pending = msgEvents.claimBatch(Targets.KAFKA_SCHD, limit = props.schd.flushLimit)
if (pending.isEmpty()) {
lastFlush = scheduler.now()
return
}
val due = pending.first()
if (due.nextAttemptAt != null && due.nextAttemptAt > scheduler.now()) {
return // 队首仍在退避:整批等待,不推进 lastFlush(到期再试)
}
val payload = SchdAggregation.latestPerFlight(pending).joinToString(",", "[", "]")
log.debug("flushSchd batch size={} payloadLen={}", pending.size, payload.length)
try {
port.sendKafka("schd", payload)
} catch (e: Exception) {
log.warn("flushSchd send failed batch={} -> batch retryOrDead: {}", pending.size, e.message)
pending.forEach { retryOrDead(it, "schd-send: ${e.message ?: "unknown"}") }
return // 不推进 lastFlush:整批退避(含 DEAD 出队)后到期重试
}
msgEvents.markAllSent(pending.mapNotNull { it.eventId })
log.info("flushSchd sent batch={}", pending.size)
lastFlush = scheduler.now()
}
private fun sleepQuietly(d: Duration) {
if (!d.isNegative && !d.isZero) Thread.sleep(d.toMillis().coerceAtLeast(1))
}
}