使用ktor和kotlin对kafka消费者进行na抽象
我正在为消费者和制作人卡夫卡创建一个抽象,以避免代码一直重复。因此,我使用kotlin和gradle创建了一个名为kafka commons的库,并输入以下代码: 卡夫卡制作人:使用ktor和kotlin对kafka消费者进行na抽象,kotlin,apache-kafka,ktor,Kotlin,Apache Kafka,Ktor,我正在为消费者和制作人卡夫卡创建一个抽象,以避免代码一直重复。因此,我使用kotlin和gradle创建了一个名为kafka commons的库,并输入以下代码: 卡夫卡制作人: fun producer( bootstrapServers: String, idempotence: Boolean, acks: Acks, retries: Int, requestPerConnection: Int, compression: Compress
fun producer(
bootstrapServers: String,
idempotence: Boolean,
acks: Acks,
retries: Int,
requestPerConnection: Int,
compression: Compression,
linger: Int,
batchSize: BatchSize
): KafkaProducer<String, Any> {
val prop: HashMap<String, Any> = HashMap()
prop[BOOTSTRAP_SERVERS_CONFIG] = bootstrapServers
prop[KEY_SERIALIZER_CLASS_CONFIG] = StringSerializer::class.java.name
prop[VALUE_SERIALIZER_CLASS_CONFIG] = StringSerializer::class.java.name
prop[ENABLE_IDEMPOTENCE_CONFIG] = idempotence
prop[ACKS_CONFIG] = acks.value
prop[RETRIES_CONFIG] = retries
prop[MAX_IN_FLIGHT_REQUESTS_PER_CONNECTION] = requestPerConnection
prop[COMPRESSION_TYPE_CONFIG] = compression.value
prop[LINGER_MS_CONFIG] = linger
prop[BATCH_SIZE_CONFIG] = batchSize.value
return KafkaProducer(prop)
}
suspend inline fun <reified K : Any, reified V : Any> KafkaProducer<K, V>.dispatch(record: ProducerRecord<K, V>) =
suspendCoroutine<RecordMetadata> { continuation ->
val callback = Callback { metadata, exception ->
if (metadata == null) {
continuation.resumeWithException(exception!!)
} else {
continuation.resume(metadata)
}
}
this.send(record, callback)
}
id:创建一个唯一的id
状态:消息状态可以是:打开/处理/关闭/错误
消息:来自http请求的对象,例如:If have a Post
例如:如果有插入用户:带正文的帖子:
{id:1,姓名:约翰,姓氏:维克}
所以消息将是这个对象,依此类推
为了创建这个命令,我做了这个函数:
suspend fun creatCommand(
topicName: String,
id: UUID,
commandStatus: CommandStatus,
request: Any,
bootstrapServers: String,
idempotence: Boolean,
acks: Acks,
retries: Int,
requestPerConnection: Int,
compression: Compression,
linger: Int,
batchSize: BatchSize
): Unit {
val producer = producer(
bootstrapServers,
idempotence,
acks,
retries,
requestPerConnection,
compression,
linger,
batchSize)
val command = toCommand(processStarted(id, commandStatus, request))
val record = ProducerRecord<String, Any>(topicName, id.toString(), command)
coroutineScope { launch { producer.dispatch(record) } }
}
有人可以帮我吗?如果我理解正确,您在将JSON映射到对象时遇到了问题
val mapper = ObjectMaper
while (true) {
val records = consumer.poll(Duration.ofMillis(100))
for (record in records) {
val cmd = mapper.readvalue(record.value(), command::class.java)
// do things with cmd
}
}
注意:Kafka有自己的JSON到POJO反序列化程序,如果您想将数据发送到数据库,Kafka Connect通常比简单的消费循环更具容错性
fun Route.user(service: Service) =
route("/api/access") {
post("/test") {
call.respond(service.command(call.receive()))
}
}
>>>>>> other class <<<<<<<<
classService () {
fun command( all parameters) { creatCommand(all parameters)}
}
fun consumer(
bootstrapServers: String,
group: String,
autoCommit: Boolean,
offsetBehaviour: OffsetBehaviour,
pollMax: Int
): KafkaConsumer<String, Any> {
val prop: HashMap<String, Any> = HashMap()
prop[BOOTSTRAP_SERVERS_CONFIG] = bootstrapServers
prop[KEY_DESERIALIZER_CLASS_CONFIG] = StringDeserializer::class.java.name
prop[VALUE_DESERIALIZER_CLASS_CONFIG] = StringDeserializer::class.java.name
prop[GROUP_ID_CONFIG] = group
prop[AUTO_OFFSET_RESET_CONFIG] = offsetBehaviour
prop[ENABLE_AUTO_COMMIT_CONFIG] = autoCommit
prop[MAX_POLL_RECORDS_CONFIG] = pollMax
return KafkaConsumer(prop)
}
fun<T> recordingCommand(
command: Class<T>,
topic: String,
bootstrapServers: String,
group: String,
autoCommit: Boolean,
offsetBehaviour: OffsetBehaviour,
pollMax: Int
) {
val consumer = consumer(bootstrapServers, group, autoCommit, offsetBehaviour, pollMax)
consumer.subscribe(mutableListOf(topic))
while (true) {
val records = consumer.poll(Duration.ofMillis(100))
for (record in records) {
val om = ObjectMaper
om.readvalue(record.value(), command::class.java)
>>>> I GOT LOST HERE <<<<<<
}
}
}
service.insert(recordingCommand(all parameters)).
val mapper = ObjectMaper
while (true) {
val records = consumer.poll(Duration.ofMillis(100))
for (record in records) {
val cmd = mapper.readvalue(record.value(), command::class.java)
// do things with cmd
}
}