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640fd30
feat ( #33 ) : kafkaProducerConfig 추가
qkrwndnjs1075 Sep 3, 2025
34297ff
feat ( #33 ) : kafka 의존성 추가
qkrwndnjs1075 Sep 3, 2025
bc61ac3
chore ( #33 ) : 원래 있던 Mock으로 주입된 Producer 클래스 삭제
qkrwndnjs1075 Sep 3, 2025
b0e4cab
feat ( #33 ) : deleteAll 추가
qkrwndnjs1075 Sep 3, 2025
b2a419c
feat ( #33 ) : consumer config 추가
qkrwndnjs1075 Sep 3, 2025
3aca7b3
feat ( #33 ) : kafkaProperty 추가
qkrwndnjs1075 Sep 3, 2025
1dcada7
feat ( #33 ) : kafkaTopic 추가
qkrwndnjs1075 Sep 3, 2025
0cd4320
feat ( #33 ) : consumer 추가
qkrwndnjs1075 Sep 3, 2025
996e4b6
refactor ( #33 ) : 원래 Mock으로 주입된 Producer 변경
qkrwndnjs1075 Sep 3, 2025
f146848
feat ( #33 ) : DeleteAllTableProducer 구현체 추가
qkrwndnjs1075 Sep 3, 2025
b2797de
feat ( #33 ) : CreateApplicationEvent 추가
qkrwndnjs1075 Sep 3, 2025
264a048
feat ( #33 ) : 사가 패턴 이벤트 추가
qkrwndnjs1075 Sep 3, 2025
a89992b
refactor ( #33 ) : saga 패턴에 부합하게 변경
qkrwndnjs1075 Sep 3, 2025
9ab1874
feat ( #33 ) : config 추가
qkrwndnjs1075 Sep 3, 2025
d43a292
feat ( #33 ) : topics 추가
qkrwndnjs1075 Sep 3, 2025
999fcad
feat ( #33 ) : userEventProducer 추가
qkrwndnjs1075 Sep 3, 2025
21c5394
feat ( #33 ) : producerImpl 추가
qkrwndnjs1075 Sep 3, 2025
3e7c3e3
chore ( #33 ) : 클래스 네임 변경
qkrwndnjs1075 Sep 3, 2025
ca54f72
feat ( #33 ) : 트랜잭션 커밋 후 성공 이벤트 발송하도록 변경
qkrwndnjs1075 Sep 3, 2025
1b14e14
feat ( #33 ) : kdoc 작성
qkrwndnjs1075 Sep 3, 2025
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4 changes: 3 additions & 1 deletion buildSrc/src/main/kotlin/Dependencies.kt
Original file line number Diff line number Diff line change
Expand Up @@ -50,5 +50,7 @@ object Dependencies {
const val SENTRY_SPRING_BOOT_STARTER = "io.sentry:sentry-spring-boot-starter-jakarta:${DependencyVersion.SENTRY}"

// Spring Cloud Config
const val SPRING_CLOUD_STARTER_CONFIG = "org.springframework.cloud:spring-cloud-starter-config"
const val SPRING_CLOUD_STARTER_CONFIG = "org.springframework.cloud:spring-cloud-starter:2024.0.2"

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🛠️ Refactor suggestion

spring-cloud-starter-config → spring-cloud-starter 변경은 오타 가능성이 큽니다

Config 클라이언트를 쓰려면 spring-cloud-starter-config가 맞습니다. spring-cloud-starter는 기능 제공용 스타터가 아니고, 버전 지정도 spring-cloud-dependencies BOM으로 관리하는 편이 안전합니다. 되돌리는 것을 권장합니다.

-    const val SPRING_CLOUD_STARTER_CONFIG = "org.springframework.cloud:spring-cloud-starter:2024.0.2"
+    // Managed via spring-cloud-dependencies BOM
+    const val SPRING_CLOUD_STARTER_CONFIG = "org.springframework.cloud:spring-cloud-starter-config"
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Suggested change
const val SPRING_CLOUD_STARTER_CONFIG = "org.springframework.cloud:spring-cloud-starter:2024.0.2"
// Managed via spring-cloud-dependencies BOM
const val SPRING_CLOUD_STARTER_CONFIG = "org.springframework.cloud:spring-cloud-starter-config"
🤖 Prompt for AI Agents
In buildSrc/src/main/kotlin/Dependencies.kt around line 53, the constant is
incorrectly set to "spring-cloud-starter" with an explicit version; change it
back to "org.springframework.cloud:spring-cloud-starter-config" and remove the
hard-coded version string so the artifact/version is managed by the
spring-cloud-dependencies BOM instead (or if BOM not yet imported, import the
BOM and rely on it for the version); update the constant value accordingly and
ensure the build uses the BOM for Spring Cloud versions.


const val KAFKA = "org.springframework.kafka:spring-kafka"
}
1 change: 1 addition & 0 deletions buildSrc/src/main/kotlin/Plugin.kt
Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
object Plugin {
const val KOTLIN_JVM = "org.jetbrains.kotlin.jvm"
const val KOTLIN_SPRING = "org.jetbrains.kotlin.plugin.spring"
const val KOTLIN_JPA = "org.jetbrains.kotlin.plugin.jpa"
const val KOTLIN_KAPT = "org.jetbrains.kotlin.kapt"
const val SPRING_BOOT = "org.springframework.boot"
const val SPRING_DEPENDENCY_MANAGEMENT = "io.spring.dependency-management"
Expand Down
6 changes: 5 additions & 1 deletion casper-user/build.gradle.kts
Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,7 @@ import org.jetbrains.kotlin.gradle.tasks.KotlinCompile
plugins {
id(Plugin.KOTLIN_JVM) version PluginVersion.KOTLIN_VERSION
id(Plugin.KOTLIN_SPRING) version PluginVersion.KOTLIN_VERSION
id(Plugin.KOTLIN_JPA) version PluginVersion.KOTLIN_VERSION
id(Plugin.KOTLIN_KAPT)
id(Plugin.SPRING_BOOT) version PluginVersion.SPRING_BOOT_VERSION
id(Plugin.SPRING_DEPENDENCY_MANAGEMENT) version PluginVersion.SPRING_DEPENDENCY_MANAGEMENT_VERSION
Expand Down Expand Up @@ -78,8 +79,11 @@ dependencies {
// Sentry
implementation(Dependencies.SENTRY_SPRING_BOOT_STARTER)

//kafka
implementation(Dependencies.KAFKA)

// Spring Cloud Config
implementation(Dependencies.SPRING_CLOUD_STARTER_CONFIG)
//implementation(Dependencies.SPRING_CLOUD_STARTER_CONFIG)
}

protobuf {
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -81,6 +81,14 @@ class UserPersistenceAdapter(
userRepository.deleteById(userId)
}

/**
* 모든 사용자를 삭제합니다.
* 관리자의 전체 데이터 초기화 시에만 사용됩니다.
*/
override fun deleteAll() {
userRepository.deleteAll()
}

/**
* 지정된 일수보다 오래된 탈퇴 사용자를 조회합니다.
*
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -22,4 +22,10 @@ interface DeleteUserPort {
* @return 삭제 대상 사용자 목록
*/
fun findWithdrawnUsersOlderThan(days: Long): List<User>

/**
* 모든 사용자를 삭제합니다.
* 관리자의 전체 데이터 초기화 시에만 사용됩니다.
*/
fun deleteAll()
Comment on lines +26 to +30

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🛠️ Refactor suggestion

대량 삭제는 JPA deleteAll 대신 배치/DDL 기반으로 처리하세요.

deleteAll은 엔티티 로딩/개별 삭제로 성능·락 부담이 큽니다. deleteAllInBatch/TRUNCATE(+ FK 안전성 검토)로 구현하고 반환값(삭제 건수)도 노출하는 편이 운영에 유리합니다.

-interface DeleteUserPort {
+interface DeleteUserPort {
@@
-    fun deleteAll()
+    fun deleteAll(): Long
}
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Suggested change
/**
* 모든 사용자를 삭제합니다.
* 관리자의 전체 데이터 초기화 시에만 사용됩니다.
*/
fun deleteAll()
interface DeleteUserPort {
/**
* 모든 사용자를 삭제합니다.
* 관리자의 전체 데이터 초기화 시에만 사용됩니다.
*/
fun deleteAll(): Long
}
🤖 Prompt for AI Agents
In
casper-user/src/main/kotlin/hs/kr/entrydsm/user/domain/user/application/port/out/DeleteUserPort.kt
around lines 26 to 30, the deleteAll() API currently suggests deleting all users
via JPA entity deletes which is inefficient and causes locking; change the
contract to perform a bulk/DDL delete and return the number of deleted rows
(e.g., fun deleteAll(): Long), and implement it using
repository.deleteAllInBatch() or a native TRUNCATE (after reviewing FK
constraints and disabling/clearing dependent data as needed); ensure the
implementation avoids loading entities, executes in a single bulk operation, and
the port returns the deleted count for operational visibility.

}
Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,7 @@ import hs.kr.entrydsm.user.domain.user.application.port.`in`.ChangeReceiptCodeUs
import hs.kr.entrydsm.user.domain.user.application.port.out.QueryUserPort
import hs.kr.entrydsm.user.domain.user.application.port.out.SaveUserPort
import hs.kr.entrydsm.user.domain.user.exception.UserNotFoundException
import hs.kr.entrydsm.user.infrastructure.kafka.producer.UserEventProducer
import org.springframework.stereotype.Service
import org.springframework.transaction.annotation.Transactional
import java.util.UUID
Expand All @@ -14,12 +15,13 @@ import java.util.UUID
*
* @property queryUserPort 사용자 조회 포트
* @property saveUserPort 사용자 저장 포트
* @property userEventProducer 사용자 이벤트 발행기
*/
@Transactional
@Service
class ChangeReceiptCodeService(
private val queryUserPort: QueryUserPort,
private val saveUserPort: SaveUserPort,
private val userEventProducer: UserEventProducer
) : ChangeReceiptCodeUseCase {
/**
* 사용자의 접수코드를 변경합니다.
Expand All @@ -28,12 +30,39 @@ class ChangeReceiptCodeService(
* @param receiptCode 새로운 접수코드
* @throws UserNotFoundException 사용자가 존재하지 않는 경우
*/
@Transactional
override fun changeReceiptCode(
userId: UUID,
receiptCode: Long,
) {
val user = queryUserPort.findById(userId) ?: throw UserNotFoundException
val updateUser = user.changeReceiptCode(receiptCode)
saveUserPort.save(updateUser)
try {
val user = queryUserPort.findById(userId)

if (user == null) {
userEventProducer.sendReceiptCodeUpdateFailed(
receiptCode = receiptCode,
userId = userId,
reason = "User not found"
)
throw UserNotFoundException
}

val updatedUser = user.copy(receiptCode = receiptCode)
saveUserPort.save(updatedUser)

// 성공 이벤트 발행
userEventProducer.sendReceiptCodeUpdateCompleted(receiptCode, userId)

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⚠️ Potential issue

트랜잭션 커밋 이전 성공 이벤트 발행 — 데이터/이벤트 불일치 위험

성공 이벤트를 DB 커밋 이전에 발행하고 있어, 커밋 실패 시 “성공 이벤트가 발행되었지만 데이터는 롤백된” 불일치가 발생할 수 있습니다. 커밋 이후(after-commit)에 이벤트를 발행하세요. Spring에서는 TransactionSynchronization 또는 도메인 이벤트 + @TransactionalEventListener(phase = AFTER_COMMIT)로 해결합니다.

아래는 간단한 after-commit 발행 예시입니다.

+import org.springframework.transaction.support.TransactionSynchronization
+import org.springframework.transaction.support.TransactionSynchronizationManager
 ...
-            // 성공 이벤트 발행
-            userEventProducer.sendReceiptCodeUpdateCompleted(receiptCode, userId)
+            // 커밋 이후 성공 이벤트 발행
+            TransactionSynchronizationManager.registerSynchronization(object : TransactionSynchronization {
+                override fun afterCommit() {
+                    userEventProducer.sendReceiptCodeUpdateCompleted(receiptCode, userId)
+                }
+            })

대안으로 Outbox 패턴도 고려해 주세요(신뢰성/재처리/순서 보장 용이).

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Suggested change
// 성공 이벤트 발행
userEventProducer.sendReceiptCodeUpdateCompleted(receiptCode, userId)
// at the top of the file, add:
import org.springframework.transaction.support.TransactionSynchronization
import org.springframework.transaction.support.TransactionSynchronizationManager
// …later, inside the transactional method, replace these two lines:
//
// // 성공 이벤트 발행
// userEventProducer.sendReceiptCodeUpdateCompleted(receiptCode, userId)
//
// with the after-commit registration:
// 커밋 이후 성공 이벤트 발행
TransactionSynchronizationManager.registerSynchronization(object : TransactionSynchronization {
override fun afterCommit() {
userEventProducer.sendReceiptCodeUpdateCompleted(receiptCode, userId)
}
})
🤖 Prompt for AI Agents
In
casper-user/src/main/kotlin/hs/kr/entrydsm/user/domain/user/application/service/ChangeReceiptCodeService.kt
around lines 53 to 55, the service currently calls
userEventProducer.sendReceiptCodeUpdateCompleted(...) before the DB transaction
commits which can emit a success event for a change that later rolls back; move
event emission to after-commit. Fix by removing the direct send at this point
and either (a) register a TransactionSynchronization.afterCommit callback that
calls userEventProducer.sendReceiptCodeUpdateCompleted(receiptCode, userId) or
(b) publish a domain event (e.g. ReceiptCodeUpdatedEvent) within the transaction
and implement a separate listener annotated with
@TransactionalEventListener(phase = AFTER_COMMIT) that invokes the producer;
ensure no event is emitted on rollback and keep the producer call only in the
after-commit path.

} catch (e: Exception) {

if (e !is UserNotFoundException) {
userEventProducer.sendReceiptCodeUpdateFailed(
receiptCode = receiptCode,
userId = userId,
reason = e.message ?: "Unknown error"
)
}
throw e // 예외 다시 던져서 롤백 발생
}
}
}
Original file line number Diff line number Diff line change
@@ -0,0 +1,45 @@
package hs.kr.entrydsm.user.infrastructure.kafka.configuration

import org.apache.kafka.clients.consumer.ConsumerConfig
import org.apache.kafka.common.serialization.StringDeserializer
import org.springframework.context.annotation.Bean
import org.springframework.context.annotation.Configuration
import org.springframework.kafka.annotation.EnableKafka
import org.springframework.kafka.config.ConcurrentKafkaListenerContainerFactory
import org.springframework.kafka.core.DefaultKafkaConsumerFactory
import org.springframework.kafka.support.serializer.JsonDeserializer

@EnableKafka
@Configuration
class KafkaConsumerConfig(
private val kafkaProperty: KafkaProperty
) {

@Bean
fun kafkaListenerContainerFactory(): ConcurrentKafkaListenerContainerFactory<String, String> {
return ConcurrentKafkaListenerContainerFactory<String, String>().apply {
setConcurrency(2)
consumerFactory = DefaultKafkaConsumerFactory(consumerFactoryConfig())
containerProperties.pollTimeout = 500
}
Comment on lines +35 to +40

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⚠️ Potential issue

JsonDeserializer를 쓰는데 컨테이너 제네릭이 <String, String>인 불일치 — 런타임 캐스팅 이슈 위험

value를 JSON으로 역직렬화한다면 컨테이너/팩토리 제네릭을 <String, Any> 또는 구체 DTO로 맞추세요.

다음처럼 정렬하는 것을 권장합니다:

-    fun kafkaListenerContainerFactory(): ConcurrentKafkaListenerContainerFactory<String, String> {
-        return ConcurrentKafkaListenerContainerFactory<String, String>().apply {
+    fun kafkaListenerContainerFactory(): ConcurrentKafkaListenerContainerFactory<String, Any> {
+        return ConcurrentKafkaListenerContainerFactory<String, Any>().apply {
             setConcurrency(2)
-            consumerFactory = DefaultKafkaConsumerFactory(consumerFactoryConfig())
+            consumerFactory = DefaultKafkaConsumerFactory<String, Any>(consumerFactoryConfig())
             containerProperties.pollTimeout = 500
         }
     }

필요 시 ack 모드도 명시적으로 설정해 주세요(예: RECORD/BATCH).

+import org.springframework.kafka.listener.ContainerProperties
...
+            containerProperties.ackMode = ContainerProperties.AckMode.BATCH
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Suggested change
fun kafkaListenerContainerFactory(): ConcurrentKafkaListenerContainerFactory<String, String> {
return ConcurrentKafkaListenerContainerFactory<String, String>().apply {
setConcurrency(2)
consumerFactory = DefaultKafkaConsumerFactory(consumerFactoryConfig())
containerProperties.pollTimeout = 500
}
import org.springframework.kafka.listener.ContainerProperties
fun kafkaListenerContainerFactory(): ConcurrentKafkaListenerContainerFactory<String, Any> {
return ConcurrentKafkaListenerContainerFactory<String, Any>().apply {
setConcurrency(2)
consumerFactory = DefaultKafkaConsumerFactory<String, Any>(consumerFactoryConfig())
containerProperties.pollTimeout = 500
containerProperties.ackMode = ContainerProperties.AckMode.BATCH
}
}
🤖 Prompt for AI Agents
In
casper-user/src/main/kotlin/hs/kr/entrydsm/user/infrastructure/kafka/configuration/KafkaConsumerConfig.kt
around lines 19 to 24, the ConcurrentKafkaListenerContainerFactory is declared
with generics <String, String> while the value uses Json deserialization which
risks runtime ClassCastExceptions; change the factory and method signature to
use <String, Any> (or the concrete DTO type you expect) and ensure
DefaultKafkaConsumerFactory is created/configured with a JsonDeserializer for
the value type (and matching generic), adjust any listener method signatures to
match the chosen value type, and explicitly set the container's AckMode (e.g.,
RECORD or BATCH) on containerProperties if required.

}

private fun consumerFactoryConfig(): Map<String, Any> {
return mapOf(
ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG to kafkaProperty.serverAddress,
ConsumerConfig.ISOLATION_LEVEL_CONFIG to "read_committed",
ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG to StringDeserializer::class.java,
ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG to "false",
ConsumerConfig.AUTO_OFFSET_RESET_CONFIG to "latest",
ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG to JsonDeserializer::class.java,
ConsumerConfig.MAX_POLL_INTERVAL_MS_CONFIG to 5000,
JsonDeserializer.TRUSTED_PACKAGES to "*",
Comment on lines +59 to +60

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🛠️ Refactor suggestion

max.poll.interval.ms=5000(5초)은 과도하게 낮아 잦은 리밸런스 유발 가능

처리 시간이 5초만 넘어도 세션이 끊길 수 있습니다. 기본값(5분, 300000) 수준으로 상향하거나 프로퍼티로 외부화하세요.

-            ConsumerConfig.MAX_POLL_INTERVAL_MS_CONFIG to 5000,
+            ConsumerConfig.MAX_POLL_INTERVAL_MS_CONFIG to 300_000,
🤖 Prompt for AI Agents
In
casper-user/src/main/kotlin/hs/kr/entrydsm/user/infrastructure/kafka/configuration/KafkaConsumerConfig.kt
around lines 35-36, the consumer property
ConsumerConfig.MAX_POLL_INTERVAL_MS_CONFIG is set to 5000 which is too low and
will cause frequent rebalances; change it to a higher value such as the default
300000 (5 minutes) or, better, externalize it as a configurable property (read
from application properties/env and fall back to 300000) so operators can tune
it without code changes.

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⚠️ Potential issue

JsonDeserializer TRUSTED_PACKAGES="*"는 보안 취약점

신뢰 패키지를 서비스 도메인으로 한정하세요. 필요 시 여러 패키지를 콤마로 나열.

-            JsonDeserializer.TRUSTED_PACKAGES to "*",
+            JsonDeserializer.TRUSTED_PACKAGES to "hs.kr.entrydsm.user.**,hs.kr.entrydsm.common.**",

여러 이벤트 타입을 수신한다면 type headers를 유지하되, 기본 타입을 강제해야 할 경우:

+            JsonDeserializer.VALUE_DEFAULT_TYPE to "hs.kr.entrydsm.user.infrastructure.kafka.event.UserEvent",
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Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
JsonDeserializer.TRUSTED_PACKAGES to "*",
JsonDeserializer.TRUSTED_PACKAGES to "hs.kr.entrydsm.user.**,hs.kr.entrydsm.common.**",
JsonDeserializer.VALUE_DEFAULT_TYPE to "hs.kr.entrydsm.user.infrastructure.kafka.event.UserEvent",
🤖 Prompt for AI Agents
In
casper-user/src/main/kotlin/hs/kr/entrydsm/user/infrastructure/kafka/configuration/KafkaConsumerConfig.kt
around line 36, JsonDeserializer.TRUSTED_PACKAGES is set to "*" which is a
security risk; replace the wildcard with a comma-separated list of only your
service/domain packages (e.g. "hs.kr.entrydsm.user" and any other internal
packages) to limit deserialization to trusted types, and if you must support
multiple event types keep the type headers enabled but configure a safe default
type or explicit allowed packages rather than using "*" to prevent arbitrary
class deserialization.

"security.protocol" to "SASL_PLAINTEXT",
"sasl.mechanism" to "SCRAM-SHA-512",
"sasl.jaas.config" to
"org.apache.kafka.common.security.scram.ScramLoginModule required " +
"username=\"${kafkaProperty.confluentApiKey}\" " +
"password=\"${kafkaProperty.confluentApiSecret}\";"
)
}
}
Original file line number Diff line number Diff line change
@@ -0,0 +1,60 @@
package hs.kr.entrydsm.user.infrastructure.kafka.configuration

import org.apache.kafka.clients.producer.ProducerConfig
import org.apache.kafka.common.serialization.StringSerializer
import org.springframework.context.annotation.Bean
import org.springframework.context.annotation.Configuration
import org.springframework.kafka.core.DefaultKafkaProducerFactory
import org.springframework.kafka.core.KafkaTemplate
import org.springframework.kafka.support.serializer.JsonSerializer

@Configuration
class KafkaProducerConfig(
private val kafkaProperty: KafkaProperty
) {

@Bean
fun deleteAllTableProducerFactory(): DefaultKafkaProducerFactory<String, Unit> {
return DefaultKafkaProducerFactory(producerConfig())
}

@Bean
fun deleteAllTableKafkaTemplate(): KafkaTemplate<String, Unit> {
return KafkaTemplate(deleteAllTableProducerFactory())
}
Comment on lines +16 to +43

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💡 Verification agent

🧩 Analysis chain

Unit 페이로드 전송은 직렬화/호환성 이슈 소지 — KafkaNull 또는 Void 사용 검토

Kotlin Unit은 Jackson/Spring JsonSerializer에서 의도치 않게 null/{}로 처리될 수 있습니다. 페이로드 미사용 시 KafkaNull 전송이 명확합니다.

-    fun deleteAllTableProducerFactory(): DefaultKafkaProducerFactory<String, Unit> {
-        return DefaultKafkaProducerFactory(producerConfig())
+    fun deleteAllTableProducerFactory(): DefaultKafkaProducerFactory<String, Any> {
+        return DefaultKafkaProducerFactory(producerConfig())
     }
...
-    fun deleteAllTableKafkaTemplate(): KafkaTemplate<String, Unit> {
-        return KafkaTemplate(deleteAllTableProducerFactory())
+    fun deleteAllTableKafkaTemplate(): KafkaTemplate<String, Any> {
+        return KafkaTemplate(deleteAllTableProducerFactory())
     }

사용부에서는 다음처럼 전송:

import org.springframework.kafka.support.KafkaNull

kafkaTemplate.send(KafkaTopics.DELETE_ALL_TABLE, KafkaNull.INSTANCE)

🏁 Script executed:

#!/bin/bash
# Locate methods in KafkaProducerConfig.kt
rg -n "deleteAllTableProducerFactory" -C3 -t kt
rg -n "deleteAllTableKafkaTemplate" -C3 -t kt
rg -n "fun producerConfig" -C3 -t kt

Length of output: 213


🏁 Script executed:

#!/bin/bash
# KafkaProducerConfig.kt 파일 경로 찾기
file=$(find . -type f -name KafkaProducerConfig.kt)
# 해당 파일 내 함수 시그니처 및 producerConfig 정의 검색
rg -n "deleteAllTableProducerFactory" -C3 "$file"
rg -n "deleteAllTableKafkaTemplate" -C3 "$file"
rg -n "fun producerConfig" -C3 "$file"

Length of output: 1417


🏁 Script executed:

#!/bin/bash
file=./casper-user/src/main/kotlin/hs/kr/entrydsm/user/infrastructure/kafka/configuration/KafkaProducerConfig.kt
rg -n 'private fun producerConfig' -A10 "$file"

Length of output: 1001


프로듀서 팩토리·템플릿 제네릭을 <String, Any>로 변경하고 tombstone 전송엔 KafkaNull.INSTANCE 사용
기존 Unit 타입은 JsonSerializer로 직렬화 시 {}로 변환되어 진정한 null payload(삭제 시그널)로 처리되지 않습니다 (github.com, docs.spring.vmware.com)

-    fun deleteAllTableProducerFactory(): DefaultKafkaProducerFactory<String, Unit> {
+    fun deleteAllTableProducerFactory(): DefaultKafkaProducerFactory<String, Any> {
        return DefaultKafkaProducerFactory(producerConfig())
    }

-    fun deleteAllTableKafkaTemplate(): KafkaTemplate<String, Unit> {
+    fun deleteAllTableKafkaTemplate(): KafkaTemplate<String, Any> {
        return KafkaTemplate(deleteAllTableProducerFactory())
    }

이후 kafkaTemplate.send(DELETE_ALL_TABLE, KafkaNull.INSTANCE)으로 tombstone 메시지를 전송하세요.

📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
@Bean
fun deleteAllTableProducerFactory(): DefaultKafkaProducerFactory<String, Unit> {
return DefaultKafkaProducerFactory(producerConfig())
}
@Bean
fun deleteAllTableKafkaTemplate(): KafkaTemplate<String, Unit> {
return KafkaTemplate(deleteAllTableProducerFactory())
}
@Bean
fun deleteAllTableProducerFactory(): DefaultKafkaProducerFactory<String, Any> {
return DefaultKafkaProducerFactory(producerConfig())
}
@Bean
fun deleteAllTableKafkaTemplate(): KafkaTemplate<String, Any> {
return KafkaTemplate(deleteAllTableProducerFactory())
}
🤖 Prompt for AI Agents
In
casper-user/src/main/kotlin/hs/kr/entrydsm/user/infrastructure/kafka/configuration/KafkaProducerConfig.kt
around lines 16 to 24, the producer factory and KafkaTemplate are currently
typed as DefaultKafkaProducerFactory<String, Unit> and KafkaTemplate<String,
Unit>, which causes Unit to be serialized as {} instead of producing a true
tombstone; change the generics to DefaultKafkaProducerFactory<String, Any> and
KafkaTemplate<String, Any>, update the bean return types accordingly, and ensure
callers send tombstones using KafkaNull.INSTANCE (e.g.,
kafkaTemplate.send(topic, KafkaNull.INSTANCE)).


@Bean
fun deleteUserProducerFactory(): DefaultKafkaProducerFactory<String, Long> {
return DefaultKafkaProducerFactory(producerConfig())
}

@Bean
fun deleteUserKafkaTemplate(): KafkaTemplate<String, Long> {
return KafkaTemplate(deleteUserProducerFactory())
}

@Bean
fun userEventProducerFactory(): DefaultKafkaProducerFactory<String, Any> {
return DefaultKafkaProducerFactory(producerConfig())
}

@Bean
fun userEventKafkaTemplate(): KafkaTemplate<String, Any> {
return KafkaTemplate(userEventProducerFactory())
}


private fun producerConfig(): Map<String, Any> {
return mapOf(
ProducerConfig.BOOTSTRAP_SERVERS_CONFIG to kafkaProperty.serverAddress,
ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG to StringSerializer::class.java,
ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG to JsonSerializer::class.java,
"security.protocol" to "SASL_PLAINTEXT",
"sasl.mechanism" to "SCRAM-SHA-512",
"sasl.jaas.config" to
"org.apache.kafka.common.security.scram.ScramLoginModule required " +
"username=\"${kafkaProperty.confluentApiKey}\" " +
"password=\"${kafkaProperty.confluentApiSecret}\";"
Comment on lines +97 to +102

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💡 Verification agent

🧩 Analysis chain

보안 설정(프로토콜/메커니즘) 환경 불일치 가능 — TLS 기본화 권장

Confluent 환경이면 SASL_SSL/PLAIN 조합을, 자체 SCRAM 환경이어도 TLS 사용을 권장합니다. 현재 설정은 평문 전송입니다.

-            "security.protocol" to "SASL_PLAINTEXT",
-            "sasl.mechanism" to "SCRAM-SHA-512",
-            "sasl.jaas.config" to
-                    "org.apache.kafka.common.security.scram.ScramLoginModule required " +
+            "security.protocol" to "SASL_SSL",
+            "sasl.mechanism" to "PLAIN",
+            "sasl.jaas.config" to
+                    "org.apache.kafka.common.security.plain.PlainLoginModule required " +
                     "username=\"${kafkaProperty.confluentApiKey}\" " +
                     "password=\"${kafkaProperty.confluentApiSecret}\";"

환경에 맞는 truststore 설정도 점검하세요.


🏁 Script executed:

#!/bin/bash
# KafkaProducerConfig.kt 파일 상단 컨텍스트 확인
sed -n '1,100p' casper-user/src/main/kotlin/hs/kr/entrydsm/user/infrastructure/kafka/configuration/KafkaProducerConfig.kt

Length of output: 2319


KafkaProducerConfig.kt – 보안 설정을 TLS 기반 SASL_SSL/PLAIN으로 변경
기존 SASL_PLAINTEXT+SCRAM-SHA-512 설정은 평문 전송으로 취약하므로, Confluent Cloud 환경에서는 아래와 같이 SASL_SSLPLAIN 메커니즘으로 수정하고, SSL Truststore·호스트 검증 설정도 점검하세요:

- "security.protocol" to "SASL_PLAINTEXT",
- "sasl.mechanism" to "SCRAM-SHA-512",
- "sasl.jaas.config" to
-     "org.apache.kafka.common.security.scram.ScramLoginModule required " +
+ "security.protocol" to "SASL_SSL",
+ "sasl.mechanism" to "PLAIN",
+ "sasl.jaas.config" to
+     "org.apache.kafka.common.security.plain.PlainLoginModule required " +
      "username=\"${kafkaProperty.confluentApiKey}\" " +
      "password=\"${kafkaProperty.confluentApiSecret}\";"
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
"security.protocol" to "SASL_PLAINTEXT",
"sasl.mechanism" to "SCRAM-SHA-512",
"sasl.jaas.config" to
"org.apache.kafka.common.security.scram.ScramLoginModule required " +
"username=\"${kafkaProperty.confluentApiKey}\" " +
"password=\"${kafkaProperty.confluentApiSecret}\";"
"security.protocol" to "SASL_SSL",
"sasl.mechanism" to "PLAIN",
"sasl.jaas.config" to
"org.apache.kafka.common.security.plain.PlainLoginModule required " +
"username=\"${kafkaProperty.confluentApiKey}\" " +
"password=\"${kafkaProperty.confluentApiSecret}\";"
🤖 Prompt for AI Agents
In
casper-user/src/main/kotlin/hs/kr/entrydsm/user/infrastructure/kafka/configuration/KafkaProducerConfig.kt
around lines 52 to 57, change the insecure plaintext SCRAM config to use
TLS-based SASL_SSL with the PLAIN mechanism: set "security.protocol" to
"SASL_SSL", set "sasl.mechanism" to "PLAIN", and update the JAAS config
accordingly to use the PLAIN login module and include the Confluent API
key/secret; also verify SSL truststore and hostname verification settings
(truststore path/password or system properties) are properly configured for
Confluent Cloud.

)
}
Comment on lines +92 to +104

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🛠️ Refactor suggestion

프로듀서 내구성/정확성 기본값 강화 필요(acks/idempotence 등)

운영 안전성을 위해 최소한 acks=all, enable.idempotence=true를 권장합니다. 배치/압축도 기본값을 튜닝하세요.

         return mapOf(
             ProducerConfig.BOOTSTRAP_SERVERS_CONFIG to kafkaProperty.serverAddress,
             ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG to StringSerializer::class.java,
             ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG to JsonSerializer::class.java,
+            ProducerConfig.ACKS_CONFIG to "all",
+            ProducerConfig.ENABLE_IDEMPOTENCE_CONFIG to true,
+            ProducerConfig.RETRIES_CONFIG to Int.MAX_VALUE,
+            ProducerConfig.DELIVERY_TIMEOUT_MS_CONFIG to 120_000,
+            ProducerConfig.LINGER_MS_CONFIG to 10,
+            ProducerConfig.COMPRESSION_TYPE_CONFIG to "zstd",
             "security.protocol" to "SASL_PLAINTEXT",
             "sasl.mechanism" to "SCRAM-SHA-512",

비고: COMPRESSION_TYPE은 인프라 표준에 맞춰 gzip/snappy/zstd 중 선택.

📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
private fun producerConfig(): Map<String, Any> {
return mapOf(
ProducerConfig.BOOTSTRAP_SERVERS_CONFIG to kafkaProperty.serverAddress,
ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG to StringSerializer::class.java,
ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG to JsonSerializer::class.java,
"security.protocol" to "SASL_PLAINTEXT",
"sasl.mechanism" to "SCRAM-SHA-512",
"sasl.jaas.config" to
"org.apache.kafka.common.security.scram.ScramLoginModule required " +
"username=\"${kafkaProperty.confluentApiKey}\" " +
"password=\"${kafkaProperty.confluentApiSecret}\";"
)
}
private fun producerConfig(): Map<String, Any> {
return mapOf(
ProducerConfig.BOOTSTRAP_SERVERS_CONFIG to kafkaProperty.serverAddress,
ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG to StringSerializer::class.java,
ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG to JsonSerializer::class.java,
ProducerConfig.ACKS_CONFIG to "all",
ProducerConfig.ENABLE_IDEMPOTENCE_CONFIG to true,
ProducerConfig.RETRIES_CONFIG to Int.MAX_VALUE,
ProducerConfig.DELIVERY_TIMEOUT_MS_CONFIG to 120_000,
ProducerConfig.LINGER_MS_CONFIG to 10,
ProducerConfig.COMPRESSION_TYPE_CONFIG to "zstd",
"security.protocol" to "SASL_PLAINTEXT",
"sasl.mechanism" to "SCRAM-SHA-512",
"sasl.jaas.config" to
"org.apache.kafka.common.security.scram.ScramLoginModule required " +
"username=\"${kafkaProperty.confluentApiKey}\" " +
"password=\"${kafkaProperty.confluentApiSecret}\";"
)
}
🤖 Prompt for AI Agents
In
casper-user/src/main/kotlin/hs/kr/entrydsm/user/infrastructure/kafka/configuration/KafkaProducerConfig.kt
around lines 47 to 59, the producer config needs stronger durability and
correctness defaults: add ProducerConfig.ACKS_CONFIG set to "all",
ProducerConfig.ENABLE_IDEMPOTENCE_CONFIG set to true, increase
ProducerConfig.RETRIES_CONFIG to a large value (or Integer.MAX_VALUE), set
ProducerConfig.MAX_IN_FLIGHT_REQUESTS_PER_CONNECTION to 1 (or 5 depending on
throughput vs ordering tradeoff), and add compression via
ProducerConfig.COMPRESSION_TYPE_CONFIG (choose gzip/snappy/zstd per infra
standard); also tune ProducerConfig.LINGER_MS_CONFIG and
ProducerConfig.BATCH_SIZE_CONFIG to sensible defaults for your workload. Ensure
these keys and values are added to the returned map alongside the existing
entries.

}
Original file line number Diff line number Diff line change
@@ -0,0 +1,12 @@
package hs.kr.entrydsm.user.infrastructure.kafka.configuration

import org.springframework.boot.context.properties.ConfigurationProperties
import org.springframework.boot.context.properties.ConfigurationPropertiesBinding

@ConfigurationPropertiesBinding
@ConfigurationProperties("kafka")
class KafkaProperty(
val serverAddress: String,
val confluentApiKey: String,
val confluentApiSecret: String
)

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⚠️ Potential issue

@ConfigurationPropertiesBinding 사용이 부적절합니다.

해당 애노테이션은 바인딩 컨버터용입니다. 속성 클래스에는 제거하세요. (Spring Boot 3 기준) 또한 부트 버전에 따라 @ConstructorBinding 필요 여부가 다릅니다.

-@ConfigurationPropertiesBinding
-@ConfigurationProperties("kafka")
-class KafkaProperty(
+@ConfigurationProperties("kafka")
+class KafkaProperty(
     val serverAddress: String,
     val confluentApiKey: String,
     val confluentApiSecret: String
 )

부트 2.x(<=2.7) 사용 시:

-@ConfigurationProperties("kafka")
-class KafkaProperty(
+@ConstructorBinding
+@ConfigurationProperties("kafka")
+class KafkaProperty(
     val serverAddress: String,
     val confluentApiKey: String,
     val confluentApiSecret: String
 )
🤖 Prompt for AI Agents
In
casper-user/src/main/kotlin/hs/kr/entrydsm/user/infrastructure/kafka/configuration/KafkaProperty.kt
around lines 6 to 12, remove the inappropriate @ConfigurationPropertiesBinding
annotation (it’s for converters, not property classes) and ensure the class is
defined as a configuration properties holder: keep
@ConfigurationProperties("kafka") on the class and, if your project uses Spring
Boot 2.x (<=2.7), add @ConstructorBinding to the class to enable
constructor-based binding; if using Spring Boot 3.x, do not add
@ConstructorBinding because constructor binding is the default.

💡 Verification agent

🧩 Analysis chain

부트 버전과 스캔 설정을 확인하세요.

부트 3+: @ConstructorBinding 불필요, @ConfigurationPropertiesScan 또는 @EnableConfigurationProperties 등록 필요. 현재 스캔 설정 유무를 점검해 주세요.


🏁 Script executed:

#!/bin/bash
# 부트 버전 및 스캔 설정 확인
rg -n 'spring-boot-starter|spring-boot.gradle.plugin|org.springframework.boot' -C2 build.gradle* gradle/libs.versions.toml settings.gradle* || true
rg -n '@ConfigurationPropertiesScan|@EnableConfigurationProperties' -C3 --type=kt

Length of output: 331


🏁 Script executed:

#!/bin/bash
# 스프링 부트 플러그인 버전 확인
echo ">>> build.gradle.kts:"
sed -n '1,50p' build.gradle.kts || echo "build.gradle.kts 파일을 찾을 수 없습니다."
echo
echo ">>> settings.gradle.kts:"
sed -n '1,50p' settings.gradle.kts || echo "settings.gradle.kts 파일을 찾을 수 없습니다."
echo
# Spring Boot 플러그인 ID 검색
rg -n 'id\("org.springframework.boot"\)' -g '*.kts'
echo
# 메인 애플리케이션 클래스 확인
rg -n '@SpringBootApplication' -C2 -g '*.kt'
echo
# @ConfigurationPropertiesScan 또는 @EnableConfigurationProperties 사용 여부 확인
rg -n '@ConfigurationPropertiesScan|@EnableConfigurationProperties' -C3 -g '*.kt'

Length of output: 2870


🏁 Script executed:

#!/bin/bash
# Subproject의 build.gradle.kts 확인
echo ">>> casper-user/build.gradle.kts:"
sed -n '1,50p' casper-user/build.gradle.kts || echo "Not found: casper-user/build.gradle.kts"
echo

# Spring Boot Gradle 플러그인 적용 여부 검색 (플러그인 DSL)
rg -n 'id\s*\(\s*["'\'']org.springframework.boot["'\'']\s*\)' -g 'casper-user/build.gradle.kts' || echo "No org.springframework.boot plugin DSL found"
echo

# Spring Boot 플러그인 적용 여부 검색 (apply 방식)
rg -n 'apply\s*\(\s*["'\'']org.springframework.boot["'\'']\s*\)' -g 'casper-user/build.gradle.kts' || echo "No apply(\"org.springframework.boot\") usage found"
echo

# 의존관계에서 Spring Boot 스타터 버전 확인
echo ">>> dependencies in casper-user/build.gradle.kts:"
sed -n '/dependencies\s*{/,/}/p' casper-user/build.gradle.kts

Length of output: 3927


🏁 Script executed:

#!/bin/bash
# casper-convention 모듈에서 SPRING_BOOT_VERSION 상수 정의 확인
rg -n "SPRING_BOOT_VERSION" -C3 casper-convention
# PluginVersion 객체 전체 검색
rg -n "object PluginVersion" -C5 casper-convention

Length of output: 102


@ConfigurationPropertiesBinding 어노테이션 제거 및 Spring Boot 버전 확인

  • KafkaProperty.kt (6–7줄): 잘못 적용된 @ConfigurationPropertiesBinding 제거
  • PluginVersion.SPRING_BOOT_VERSION 값 확인 후 Spring Boot 3.x 이상이면 별도 어노테이션 없이 생성자 바인딩만 사용
  • 스캔 설정은 ConfigurationProperties.kt@ConfigurationPropertiesScan("hs.kr.entrydsm")로 이미 등록되어 있습니다.
🤖 Prompt for AI Agents
casper-user/src/main/kotlin/hs/kr/entrydsm/user/infrastructure/kafka/configuration/KafkaProperty.kt
(lines 6-12): Remove the incorrect @ConfigurationPropertiesBinding annotation on
the KafkaProperty class; verify PluginVersion.SPRING_BOOT_VERSION is 3.x or
higher and rely on constructor binding without additional annotations
(ConfigurationPropertiesScan is already configured in
ConfigurationProperties.kt), so simply keep the primary constructor properties
and delete the @ConfigurationPropertiesBinding import/annotation to let Spring
Boot perform constructor-based binding.

Original file line number Diff line number Diff line change
@@ -0,0 +1,11 @@
package hs.kr.entrydsm.user.infrastructure.kafka.configuration

object KafkaTopics {
const val DELETE_USER = "delete-user"
const val DELETE_ALL_TABLE = "delete-all-table"
const val CREATE_APPLICATION = "create-application"

// Choreography 이벤트들
const val USER_RECEIPT_CODE_UPDATE_COMPLETED = "user-receipt-code-update-completed"
const val USER_RECEIPT_CODE_UPDATE_FAILED = "user-receipt-code-update-failed"
}
Original file line number Diff line number Diff line change
@@ -0,0 +1,25 @@
package hs.kr.entrydsm.user.infrastructure.kafka.consumer

import com.fasterxml.jackson.databind.ObjectMapper
import hs.kr.entrydsm.user.domain.user.application.port.`in`.ChangeReceiptCodeUseCase
import hs.kr.entrydsm.user.infrastructure.kafka.configuration.KafkaTopics
import hs.kr.entrydsm.user.infrastructure.kafka.consumer.dto.CreateApplicationEvent
import org.springframework.kafka.annotation.KafkaListener
import org.springframework.stereotype.Service

@Service
class CreateApplicationConsumer(
private val changeReceiptCodeUseCase: ChangeReceiptCodeUseCase,
private val mapper: ObjectMapper
) {
@KafkaListener(
topics = [KafkaTopics.CREATE_APPLICATION],
groupId = "change-user-receipt-code-consumer",
containerFactory = "kafkaListenerContainerFactory"
)
fun execute(message: String) {
val createApplicationEvent = mapper.readValue(message, CreateApplicationEvent::class.java)
changeReceiptCodeUseCase.changeReceiptCode(createApplicationEvent.userId, createApplicationEvent.receiptCode)
}
Comment on lines +15 to +23

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💡 Verification agent

🧩 Analysis chain

소비 실패 시 재시도/치명적 메시지 처리(DLT)와 로깅 부족

JSON 역직렬화나 도메인 처리 실패가 발생하면 컨테이너의 기본 에러 핸들러 설정에 의존하게 됩니다. 재시도/백오프/Dead Letter Topic(DLT) 정책이 없다면 동일 메시지의 무한 재처리 또는 조용한 드롭이 발생할 수 있습니다. 최소한 로깅과 재시도/복구 전략을 명시해 주세요.

아래처럼 runCatching으로 실패를 로깅하고, 재시도/복구는 컨테이너 설정 또는 @RetryableTopic으로 보완하는 것을 권장합니다.

+import org.slf4j.LoggerFactory
 ...
 ) {
+    private val log = LoggerFactory.getLogger(CreateApplicationConsumer::class.java)
 ...
-    fun execute(message: String) {
-        val createApplicationEvent = mapper.readValue(message, CreateApplicationEvent::class.java)
-        changeReceiptCodeUseCase.changeReceiptCode(createApplicationEvent.userId, createApplicationEvent.receiptCode)
-    }
+    fun execute(message: String) {
+        runCatching { mapper.readValue(message, CreateApplicationEvent::class.java) }
+            .onSuccess { event ->
+                changeReceiptCodeUseCase.changeReceiptCode(event.userId, event.receiptCode)
+            }
+            .onFailure { ex ->
+                log.warn("CREATE_APPLICATION 소비 실패: {}", ex.message, ex)
+                throw ex
+            }
+    }

DLT/에러핸들러 구성이 있는지 확인해 주세요. 없는 경우 @RetryableTopic(backoff = @Backoff(...), dltTopic = "...") 또는 DefaultErrorHandler + DeadLetterPublishingRecoverer 구성을 제안합니다.


🏁 Script executed:

#!/bin/bash
# DLT/에러핸들러/RetryableTopic 구성 존재 여부 점검
rg -nP -C2 '(DefaultErrorHandler|CommonErrorHandler|DeadLetterPublishingRecoverer|@RetryableTopic|kafkaListenerContainerFactory)' --type=kt

Length of output: 168


🏁 Script executed:

#!/bin/bash
# Kotlin 파일에서 Retry/DLT/ErrorHandler 구성 존재 여부 재확인
rg -nP -C2 '(DefaultErrorHandler|CommonErrorHandler|DeadLetterPublishingRecoverer|@RetryableTopic|kafkaListenerContainerFactory)' -g '*.kt'

Length of output: 2385


🏁 Script executed:

#!/bin/bash
# KafkaConsumerConfig 파일 내용 출력
sed -n '1,200p' casper-user/src/main/kotlin/hs/kr/entrydsm/user/infrastructure/kafka/configuration/KafkaConsumerConfig.kt

Length of output: 2219


CreateApplicationConsumer execute 메서드에 예외 처리 및 재시도/DLT 구성 누락
execute(message: String)에서 JSON 역직렬화 또는 도메인 처리 실패 시 로깅 없이 컨테이너 기본 에러 핸들러에 의존하므로, 무한 재처리 또는 메시지 손실 위험이 있습니다.
– runCatching(onFailure에서 로깅 후 예외 재던지기)로 실패 로깅을 추가하거나
@RetryableTopic(backoff = @Backoff(...), dltTopic = "...") 또는 DefaultErrorHandler + DeadLetterPublishingRecovererkafkaListenerContainerFactory에 설정해 주세요.
(CreateApplicationConsumer.kt:15–23)

🤖 Prompt for AI Agents
casper-user/src/main/kotlin/hs/kr/entrydsm/user/infrastructure/kafka/consumer/CreateApplicationConsumer.kt
lines 15–23: the execute method currently relies on the container default error
handler and lacks logging or retry/DLT behavior; wrap the deserialization and
use-case call in runCatching or a try/catch that logs the exception with context
(message, userId if parsed, stacktrace) and then rethrow to allow retry/DLT
handling, and/or annotate the listener with @RetryableTopic(backoff =
@Backoff(delay = ..., multiplier = ... , maxDelay = ...), dltTopic =
"<your-dlt-topic>") or configure kafkaListenerContainerFactory with a
DefaultErrorHandler + DeadLetterPublishingRecoverer so failures are retried with
backoff and ultimately sent to a DLT; ensure any logging uses the injected
logger and does not swallow the exception so container/DLT behavior can operate.


}
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@@ -0,0 +1,19 @@
package hs.kr.entrydsm.user.infrastructure.kafka.consumer

import hs.kr.entrydsm.user.domain.user.application.port.out.DeleteUserPort
import hs.kr.entrydsm.user.infrastructure.kafka.configuration.KafkaTopics
import org.springframework.kafka.annotation.KafkaListener
import org.springframework.transaction.annotation.Transactional

open class DeleteUserTableConsumer(
private val deleteUserPort: DeleteUserPort
) {
@KafkaListener(
topics = [KafkaTopics.DELETE_ALL_TABLE],
groupId = "delete-all-table-user",
containerFactory = "kafkaListenerContainerFactory"
)
@Transactional
open fun execute() = deleteUserPort.deleteAll()
Comment on lines +26 to +32

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💡 Verification agent

🧩 Analysis chain

재처리/중복 처리 안전성 확인

deleteAll()은 재시도 시에도 동일 효과를 내지만, 컨테이너의 에러핸들러/백오프/DLT 구성이 없으면 무한 재처리 루프 위험이 있습니다. CommonErrorHandler와 DLT 라우팅, 그리고 컨슈머 컨테이너 concurrency=1 설정(또는 파티션=1) 여부를 확인해 주세요.

다음 검색으로 설정을 빠르게 점검할 수 있습니다.


🏁 Script executed:

#!/bin/bash
rg -nP 'class\s+KafkaConsumerConfig|ConcurrentKafkaListenerContainerFactory|CommonErrorHandler|DefaultErrorHandler|AckMode' -C3

Length of output: 3036


컨슈머 에러 핸들러·DLT 구성 및 동시성 설정 검토

  • KafkaConsumerConfig.kt(20–23행)에서 setConcurrency(2)가 설정되어 있어, 파티션=1 또는 setConcurrency(1)로 조정 검토
  • CommonErrorHandler/DefaultErrorHandler 빈과 Dead Letter Topic(DLT) 구성 미확인. 재시도 시 무한 루프 방지를 위해 에러 핸들러·DLT 라우팅·백오프 정책 추가 필요


}
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package hs.kr.entrydsm.user.infrastructure.kafka.consumer.dto

import java.util.UUID

data class CreateApplicationEvent(
val receiptCode: Long,
val userId: UUID
)
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@@ -0,0 +1,8 @@
package hs.kr.entrydsm.user.infrastructure.kafka.consumer.dto

import java.util.UUID

data class UserReceiptCodeUpdateCompletedEvent(
val receiptCode: Long,
val userId: UUID
)
Original file line number Diff line number Diff line change
@@ -0,0 +1,9 @@
package hs.kr.entrydsm.user.infrastructure.kafka.consumer.dto

import java.util.UUID

data class UserReceiptCodeUpdateFailedEvent(
val receiptCode: Long,
val userId: UUID,
val reason: String
)
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@@ -0,0 +1,17 @@
package hs.kr.entrydsm.user.infrastructure.kafka.producer

import hs.kr.entrydsm.user.infrastructure.kafka.configuration.KafkaTopics
import org.springframework.context.annotation.Profile
import org.springframework.kafka.core.KafkaTemplate
import org.springframework.stereotype.Component


@Component
class DeleteAllTableProducerImpl(
private val kafkaTemplate: KafkaTemplate<String, Unit>,
) : DeleteAllTableProducer {

override fun send() {
kafkaTemplate.send(KafkaTopics.DELETE_ALL_TABLE, Unit)
}
Comment on lines +10 to +29

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⚠️ Potential issue

Unit 페이로드 직렬화 실패 가능성 높음: 값 타입을 명시적 DTO/문자열로 교체

KafkaTemplate<String, Unit>Unit 전송은 JsonSerializer/Jackson 설정에 따라 직렬화 예외가 빈번합니다. 최소 변경으로 문자열 페이로드로 전환하세요.

-class DeleteAllTableProducerImpl(
-    private val kafkaTemplate: KafkaTemplate<String, Unit>,
-) : DeleteAllTableProducer {
+class DeleteAllTableProducerImpl(
+    private val kafkaTemplate: KafkaTemplate<String, String>,
+) : DeleteAllTableProducer {
 
     override fun send() {
-        kafkaTemplate.send(KafkaTopics.DELETE_ALL_TABLE, Unit)
+        kafkaTemplate.send(KafkaTopics.DELETE_ALL_TABLE, "{}")
     }
 }

장기적으로는 DeleteAllTableEvent(eventId, occurredAt, requestedBy) 같은 DTO를 정의해 JSON으로 발행하는 것을 권장합니다.

📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
class DeleteAllTableProducerImpl(
private val kafkaTemplate: KafkaTemplate<String, Unit>,
) : DeleteAllTableProducer {
override fun send() {
kafkaTemplate.send(KafkaTopics.DELETE_ALL_TABLE, Unit)
}
class DeleteAllTableProducerImpl(
private val kafkaTemplate: KafkaTemplate<String, String>,
) : DeleteAllTableProducer {
override fun send() {
kafkaTemplate.send(KafkaTopics.DELETE_ALL_TABLE, "{}")
}
}
🤖 Prompt for AI Agents
In
casper-user/src/main/kotlin/hs/kr/entrydsm/user/infrastructure/kafka/producer/DeleteAllTableProducerImpl.kt
around lines 10 to 16, sending Kotlin Unit as the Kafka payload risks
serialization errors; change the producer to send a simple string (e.g.,
"delete-all") instead of Unit (or better yet a DTO later), update the
KafkaTemplate generic type to KafkaTemplate<String, String>, and send a clear
string literal payload from send(); this is the minimal change to avoid Unit
serialization failures while preserving intent.

}
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@@ -0,0 +1,15 @@
package hs.kr.entrydsm.user.infrastructure.kafka.producer

import hs.kr.entrydsm.user.infrastructure.kafka.configuration.KafkaTopics
import org.springframework.kafka.core.KafkaTemplate
import org.springframework.stereotype.Component


@Component
class DeleteUserProducerImpl(
private val kafkaTemplate: KafkaTemplate<String, Long>
) : DeleteUserProducer {
override fun send(receiptCode: Long) {
kafkaTemplate.send(KafkaTopics.DELETE_USER, receiptCode)
}
}

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