Redis#55
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WalkthroughThis update introduces Redis-based caching to the Spring Boot application. It adds Docker and Compose configurations for Redis, updates the application to use Redis for caching, and annotates service methods to leverage cache management. Several classes are modified to implement Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant Controller
participant CatService
participant RedisCache
participant Database
User->>Controller: Request cat data
Controller->>CatService: getCatDtoById(id)
CatService->>RedisCache: Check cache for catById(id)
alt Cache hit
RedisCache-->>CatService: Return cached Cat DTO
else Cache miss
CatService->>Database: Query cat by id
Database-->>CatService: Return Cat entity
CatService->>RedisCache: Store Cat DTO in cache
end
CatService-->>Controller: Return Cat DTO
Controller-->>User: Respond with Cat DTO
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WIP. The caching works for cat but not fetching the cached cat. |
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Actionable comments posted: 15
🔭 Outside diff range comments (3)
src/main/java/org/example/springboot25/entities/Cat.java (1)
15-53: 💡 Verification agent🧩 Analysis chain
Potential serialization issues with entity relationships
The
Catclass has several bidirectional relationships with other entities. This can cause infinite recursion during serialization due to circular references. Consider either:
- Making related entity classes also implement
Serializable- Using
@JsonIgnoreor custom serialization to break circular references- Marking relationship fields as
transientif they don't need to be cachedAdditionally, verify that
User,CatPhoto,Reminder, andRecommendationclasses also implementSerializable.
🏁 Script executed:
#!/bin/bash # Check if related entity classes implement Serializable echo "Checking related entity classes for Serializable implementation" grep -r "implements Serializable" --include="*.java" src/main/java/org/example/springboot25/entities/Length of output: 442
Ensure all related entities support serialization or break circular references
During verification, we confirmed that
User.javaalready implementsSerializable, but the following entity classes do not:
src/main/java/org/example/springboot25/entities/CatPhoto.javasrc/main/java/org/example/springboot25/entities/Reminder.javasrc/main/java/org/example/springboot25/entities/Recommendation.javaTo prevent infinite recursion when serializing
Catand its bidirectional relationships, please address one (or more) of the following:
- Have each of the above classes implement
Serializable.- Use Jackson annotations such as
@JsonManagedReference/@JsonBackReferenceor@JsonIgnoreon one side of each bidirectional link.- Mark relationship fields as
transientif they don’t need to be part of the serialized form.src/main/java/org/example/springboot25/service/CatService.java (2)
137-141: 🛠️ Refactor suggestionMissing cache configuration for addCat method.
The
addCatmethod doesn't have cache annotations, which means new cats won't be added to the cache and won't invalidate list caches.Add cache annotations to properly manage the cache when adding a new cat:
+ @CacheEvict(cacheNames = {"allCats", "allCatsByUser", "allCatsByName"}, allEntries = true) public CatOutputDTO addCat(CatInputDTO dto) { log.info("Creating new cat: {}", dto.getCatName()); Cat cat = catMapper.toCat(dto); return catMapper.toDto(saveCat(cat)); }
143-146: 🛠️ Refactor suggestionMissing cache configuration for alternative addCat method.
This overloaded
addCatmethod also lacks cache annotations.Add cache eviction to invalidate list caches:
+ @CacheEvict(cacheNames = {"allCats", "allCatsByUser", "allCatsByName"}, allEntries = true) public Cat addCat(Cat cat) { log.info("Saving cat: {}", cat.getCatName()); return saveCat(cat); }
🧹 Nitpick comments (10)
src/main/java/org/example/springboot25/controller/CatPhotoViewController.java (1)
9-13: Unnecessary Serializable implementation on ControllerControllers in Spring are typically stateless and managed by the framework; marking them
Serializableis unnecessary and can be misleading. You can removeimplements Serializableand the import to simplify the class and avoid confusion.src/main/java/org/example/springboot25/service/CatPhotoService.java (1)
5-5: ImportCacheablebut missing annotationThe
Cacheableimport is present, but no methods are annotated. Consider applying@Cacheable("catPhotos")(or another logical cache name) to methods likegetAllCatPhotos()to enable Redis caching, or remove the unused import if caching isn't needed here.src/main/java/org/example/springboot25/entities/User.java (1)
11-17: AddserialVersionUIDfor Serializable entityWhen implementing
Serializable, declare aserialVersionUIDto avoid default serial version warnings and ensure compatibility across deployments. For example:private static final long serialVersionUID = 1L;Also verify that all referenced entity classes (
Cat,EventParticipant, etc.) are serializable.src/main/resources/application-dev.properties (1)
16-18: Remove unsupportedspring.redis.enabledpropertyThe property
spring.redis.enabledisn't recognized by Spring Boot configuration and can be removed. Caching activation is already handled byspring.cache.type=redis.src/main/java/org/example/springboot25/entities/Cat.java (1)
8-8: Unused import detectedThe
RedisHashannotation is imported but not used on the class. This annotation is typically used with Spring Data Redis repositories, not for general caching with Redis. If you're only using Redis for caching and not as a repository, this import can be removed.-import org.springframework.data.redis.core.RedisHash;Dockerfile (1)
1-11: Dockerfile structure looks good with some potential improvementsThe multi-stage build approach is appropriate for a Spring Boot application. I have a few suggestions to improve it:
- Add Maven dependency caching to speed up builds
- Run the application as a non-root user for security
- Consider using the same Java distribution in both stages for consistency
-FROM maven:3.9.9-eclipse-temurin-24 AS builder +FROM maven:3.9.9-eclipse-temurin-24 AS builder WORKDIR /build +# Cache Maven dependencies +COPY pom.xml . +RUN mvn dependency:go-offline + COPY pom.xml . COPY src ./src RUN mvn clean package -FROM openjdk:24-jdk +FROM eclipse-temurin:24-jdk WORKDIR /app ARG JAR_FILE=target/springboot25-0.0.1-SNAPSHOT.jar COPY --from=builder /build/${JAR_FILE} app.jar + +# Create a non-root user to run the application +RUN groupadd -r spring && useradd -r -g spring spring +USER spring ENTRYPOINT ["java","-jar","/app/app.jar"]compose.yaml (1)
1-32: PR work-in-progress statusBased on your comment that "caching works for storing the cat data, but fetching cached cat data is not functioning correctly," I recommend reviewing the service layer implementation. Add cache annotations (
@Cacheable,@CachePut,@CacheEvict) to the methods in your service classes, particularly in theCatServiceclass.Would you like me to help with troubleshooting the cache retrieval issue? I could review your service implementation if you share those files.
src/main/java/org/example/springboot25/config/RedisCacheConfig.java (1)
14-23: Cache configuration setup is appropriate but lacks key customization.The Redis cache configuration sets a 10-minute TTL and disables caching null values, which are good defaults. However, the configuration doesn't specify custom key serialization/deserialization strategies, which might be needed for complex object keys.
Consider enhancing the cache configuration with custom serialization settings:
@Bean public RedisCacheManager cacheManager(LettuceConnectionFactory cf) { RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig() .entryTtl(Duration.ofMinutes(10)) - .disableCachingNullValues(); + .disableCachingNullValues() + .serializeKeysWith( + RedisSerializationContext.SerializationPair.fromSerializer(new StringRedisSerializer()) + ) + .serializeValuesWith( + RedisSerializationContext.SerializationPair.fromSerializer(new GenericJackson2JsonRedisSerializer()) + ); return RedisCacheManager.builder(cf) .cacheDefaults(config) .build(); }This would also require adding the appropriate imports:
import org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer; import org.springframework.data.redis.serializer.RedisSerializationContext; import org.springframework.data.redis.serializer.StringRedisSerializer;src/main/java/org/example/springboot25/dto/CatOutputDTO.java (1)
11-11: Implementation of Serializable is correct but missing serialVersionUID.Implementing Serializable is necessary for Redis caching, but it's best practice to include a serialVersionUID to maintain version compatibility.
Add a serialVersionUID to ensure deserialization compatibility in case of class changes:
public class CatOutputDTO implements Serializable { + private static final long serialVersionUID = 1L; private Long catId;src/main/java/org/example/springboot25/service/CatService.java (1)
117-120: List caching strategy may lead to performance issues.Caching the entire list of cats without pagination or size limits could lead to memory issues if the dataset grows large.
Consider adding pagination and cache by page:
- @Cacheable(cacheNames = "allCats") + @Cacheable(cacheNames = "allCats", condition = "#root.method.name == 'getAllCats'") public List<CatOutputDTO> getAllCats() { return catRepository.findAll().stream().map(catMapper::toDto).toList(); } + @Cacheable(cacheNames = "allCats", key = "#page + '-' + #size") + public List<CatOutputDTO> getAllCatsPaginated(int page, int size) { + return catRepository.findAll(PageRequest.of(page, size)) + .getContent().stream().map(catMapper::toDto).toList(); + }
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📒 Files selected for processing (13)
Dockerfile(1 hunks)compose.yaml(2 hunks)pom.xml(2 hunks)src/main/java/org/example/springboot25/Springboot25Application.java(1 hunks)src/main/java/org/example/springboot25/config/RedisCacheConfig.java(1 hunks)src/main/java/org/example/springboot25/controller/CatPhotoViewController.java(1 hunks)src/main/java/org/example/springboot25/controller/CatViewController.java(0 hunks)src/main/java/org/example/springboot25/dto/CatOutputDTO.java(2 hunks)src/main/java/org/example/springboot25/entities/Cat.java(1 hunks)src/main/java/org/example/springboot25/entities/User.java(1 hunks)src/main/java/org/example/springboot25/service/CatPhotoService.java(2 hunks)src/main/java/org/example/springboot25/service/CatService.java(5 hunks)src/main/resources/application-dev.properties(1 hunks)
💤 Files with no reviewable changes (1)
- src/main/java/org/example/springboot25/controller/CatViewController.java
🔇 Additional comments (2)
src/main/resources/application-dev.properties (1)
12-14: Enable caching with correct type propertyThe
spring.cache.type=redisproperty correctly enables Redis as the cache provider.src/main/java/org/example/springboot25/Springboot25Application.java (1)
5-5: Correct caching enablementGood addition of the
@EnableCachingannotation. This is necessary to activate Spring's caching infrastructure and allow cache annotations to work throughout the application.Also applies to: 10-10
| <dependency> | ||
| <groupId>org.springframework.boot</groupId> | ||
| <artifactId>spring-boot-starter-data-redis</artifactId> | ||
| <version>3.1.2</version> | ||
| </dependency> | ||
| <dependency> | ||
| <groupId>org.springframework.boot</groupId> | ||
| <artifactId>spring-boot-starter-cache</artifactId> | ||
| </dependency> |
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Align Redis dependency version with Spring Boot BOM
Specifying <version>3.1.2</version> for spring-boot-starter-data-redis conflicts with the parent spring-boot-starter-parent version (3.4.4). Remove the explicit version to let the BOM manage dependency alignment:
-<dependency>
- <groupId>org.springframework.boot</groupId>
- <artifactId>spring-boot-starter-data-redis</artifactId>
- <version>3.1.2</version>
-</dependency>
+<dependency>
+ <groupId>org.springframework.boot</groupId>
+ <artifactId>spring-boot-starter-data-redis</artifactId>
+</dependency>📝 Committable suggestion
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| <dependency> | |
| <groupId>org.springframework.boot</groupId> | |
| <artifactId>spring-boot-starter-data-redis</artifactId> | |
| <version>3.1.2</version> | |
| </dependency> | |
| <dependency> | |
| <groupId>org.springframework.boot</groupId> | |
| <artifactId>spring-boot-starter-cache</artifactId> | |
| </dependency> | |
| <dependency> | |
| <groupId>org.springframework.boot</groupId> | |
| <artifactId>spring-boot-starter-data-redis</artifactId> | |
| </dependency> | |
| <dependency> | |
| <groupId>org.springframework.boot</groupId> | |
| <artifactId>spring-boot-starter-cache</artifactId> | |
| </dependency> |
| spring.data.redis.host=${SPRING_REDIS_HOST:localhost} | ||
| spring.data.redis.port=${SPRING_REDIS_PORT:6379} |
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Use correct Redis connection properties
Spring Boot binds spring.redis.host and spring.redis.port (without data) for Redis connections. Update as follows:
-spring.data.redis.host=${SPRING_REDIS_HOST:localhost}
-spring.data.redis.port=${SPRING_REDIS_PORT:6379}
+spring.redis.host=${SPRING_REDIS_HOST:localhost}
+spring.redis.port=${SPRING_REDIS_PORT:6379}📝 Committable suggestion
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| spring.data.redis.host=${SPRING_REDIS_HOST:localhost} | |
| spring.data.redis.port=${SPRING_REDIS_PORT:6379} | |
| spring.redis.host=${SPRING_REDIS_HOST:localhost} | |
| spring.redis.port=${SPRING_REDIS_PORT:6379} |
| import jakarta.validation.constraints.NotNull; | ||
| import org.springframework.data.redis.core.RedisHash; | ||
|
|
||
| import java.io.Serializable; |
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🛠️ Refactor suggestion
Add serialVersionUID for Serializable implementation
While implementing Serializable is necessary for Redis caching, it's best practice to include a serialVersionUID field to ensure version compatibility during serialization/deserialization.
import java.io.Serializable;
import java.util.ArrayList;
import java.util.List;
@Entity
-public class Cat implements Serializable {
+public class Cat implements Serializable {
+ private static final long serialVersionUID = 1L;Also applies to: 15-15
| COPY src ./src | ||
| RUN mvn clean package | ||
|
|
||
| FROM openjdk:24-jdk |
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💡 Verification agent
🧩 Analysis chain
Verify JDK version choice
JDK 24 is very recent (released in March 2024). Ensure this is the intended version for your project and that all your dependencies are compatible with it.
🌐 Web query:
What is the recommended Java version for Spring Boot applications in 2024?
💡 Result:
Recommended Java Version for Spring Boot Applications in 2024
Minimum and Supported Versions
- As of 2024, Spring Boot 3.4.x is the current stable version, and it requires at least Java 17[1][2][5].
- Spring Boot 3.x supports Java versions from 17 up to and including Java 24[1].
- The underlying Spring Framework 6.2, and upcoming 7.0, are also designed to work with JDK 17 as the baseline, with full support for current LTS (Long-Term Support) releases like Java 17 and Java 21, and compatibility up to Java 23/24[3][4][8].
Recommended Practice
- Java 21 is the most recent LTS (Long-Term Support) version as of 2024 and is broadly recommended for new Spring Boot applications because it offers the latest language features, performance improvements, and long-term support guarantees[4][8].
- While Java 17 remains the baseline and is fully supported, upgrading to Java 21 provides advantages such as enhanced performance, new JVM features (e.g., virtual threads), and improved developer productivity[2][8].
- For environments using Spring Boot with buildpacks or containerization, Liberica JDK is the default Java runtime recommended by Spring, but any TCK-verified distribution of Java 17 or later is suitable[2].
Summary Table
| Java Version | Status with Spring Boot 3.4.x (2024) | Recommended Use |
|---|---|---|
| Java 17 | Minimum required, fully supported | Supported (LTS) |
| Java 21 | Fully supported (LTS) | Recommended (LTS) |
| Java 22–24 | Supported | Use with caution* |
*Java 22–24 are supported, but only Java 17 and 21 are LTS releases, which are preferred for stability and long-term maintenance[1][4].
Conclusion
The best practice for Spring Boot applications in 2024 is to use Java 21 LTS for both new projects and upgrades, unless constrained by environment or dependency requirements. Java 17 remains a viable and supported baseline, but Java 21 offers the best combination of stability, support, and modern Java features[1][4][8].
Citations:
- 1: https://docs.spring.io/spring-boot/system-requirements.html
- 2: https://blog.jetbrains.com/idea/2024/05/java-runtimes-insights-from-the-spring-boot-point-of-view/
- 3: https://spring.io/blog/2024/10/01/from-spring-framework-6-2-to-7-0
- 4: https://github.com/spring-projects/spring-framework/wiki/Spring-Framework-Versions
- 5: https://www.codejava.net/frameworks/spring-boot/spring-boot-version-history
- 6: https://www.marcobehler.com/guides/spring-and-spring-boot-versions
- 7: https://spring.io/projects/spring-boot
- 8: https://www.infoq.com/articles/spring-boot-3-2-spring-6-1/
- 9: https://endoflife.date/spring-boot
Review JDK Version in Dockerfile
Spring Boot 3.4.x supports Java 17–24, but Java 21 LTS is the recommended runtime for stability and long-term support. JDK 24 is non-LTS and may expose you to shorter support windows.
• File: Dockerfile
Line 7: FROM openjdk:24-jdk
Suggestion: use openjdk:21-jdk (or at least Java 17) unless you explicitly need JDK 24 features and accept its non-LTS lifecycle.
| redis: | ||
| image: 'redis:7-alpine' | ||
| ports: | ||
| - "6379:6379" |
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🛠️ Refactor suggestion
Redis service configuration needs improvements
The Redis service is correctly configured but lacks data persistence and security measures. Consider adding:
- A volume for data persistence
- Password protection for Redis
- Health checks to ensure service readiness
redis:
image: 'redis:7-alpine'
+ command: redis-server --requirepass ${REDIS_PASSWORD}
ports:
- "6379:6379"
+ volumes:
+ - redis-data:/data
+ healthcheck:
+ test: ["CMD", "redis-cli", "ping"]
+ interval: 5s
+ timeout: 5s
+ retries: 5| @CacheEvict(cacheNames = "deleteCatById", key = "#catId") | ||
| public void deleteCatById(Long catId) { |
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Incorrect cache key configuration for deletion operations.
The @CacheEvict annotation uses "deleteCatById" as the cache name, but the corresponding @Cacheable methods use different cache names. This mismatch means that deleting a cat won't properly clear the cached items.
Align the cache names with the cacheable operations:
- @CacheEvict(cacheNames = "deleteCatById", key = "#catId")
+ @CacheEvict(cacheNames = {"catById", "allCats", "allCatsByUser", "allCatsByName"}, allEntries = true)
public void deleteCatById(Long catId) {📝 Committable suggestion
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| @CacheEvict(cacheNames = "deleteCatById", key = "#catId") | |
| public void deleteCatById(Long catId) { | |
| @CacheEvict(cacheNames = {"catById", "allCats", "allCatsByUser", "allCatsByName"}, allEntries = true) | |
| public void deleteCatById(Long catId) { |
| @CacheEvict(cacheNames = "deleteCat", key = "#catId") | ||
| public void deleteCat(Long catId) { |
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Similar cache configuration issue with deleteCat method.
The @CacheEvict annotation here has the same issue as the previous method, using a different cache name than the cacheable methods.
Correct the cache eviction configuration:
- @CacheEvict(cacheNames = "deleteCat", key = "#catId")
+ @CacheEvict(cacheNames = {"catById", "allCats", "allCatsByUser", "allCatsByName"}, allEntries = true)
public void deleteCat(Long catId) {📝 Committable suggestion
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| @CacheEvict(cacheNames = "deleteCat", key = "#catId") | |
| public void deleteCat(Long catId) { | |
| @CacheEvict(cacheNames = {"catById", "allCats", "allCatsByUser", "allCatsByName"}, allEntries = true) | |
| public void deleteCat(Long catId) { |
| @CachePut(cacheNames = "patchCat", key = "#catId") | ||
| public CatOutputDTO partialUpdateCat(Long catId, Map<String, Object> updates) { |
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Same cache update issue with partialUpdateCat method.
Similar to the previous issue, this method also uses a different cache name "patchCat" that doesn't align with other cache names.
Update the cache configuration:
- @CachePut(cacheNames = "patchCat", key = "#catId")
+ @CachePut(cacheNames = "catById", key = "#catId")
+ @CacheEvict(cacheNames = {"allCats", "allCatsByUser", "allCatsByName"}, allEntries = true)
public CatOutputDTO partialUpdateCat(Long catId, Map<String, Object> updates) {📝 Committable suggestion
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| @CachePut(cacheNames = "patchCat", key = "#catId") | |
| public CatOutputDTO partialUpdateCat(Long catId, Map<String, Object> updates) { | |
| @CachePut(cacheNames = "catById", key = "#catId") | |
| @CacheEvict(cacheNames = {"allCats", "allCatsByUser", "allCatsByName"}, allEntries = true) | |
| public CatOutputDTO partialUpdateCat(Long catId, Map<String, Object> updates) { |
| @CachePut(cacheNames = "putCat", key = "#catId") | ||
| public CatOutputDTO updateCat(Long catId, CatUpdateDTO dto) { |
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Cache update strategy needs improvement for putCat operation.
The @CachePut annotation with cache name "putCat" doesn't update entries in the other caches like "allCats", "allCatsByUser", etc., which leads to stale data in those caches.
Either evict all entries from all caches (slower) or update the specific entry in the appropriate cache (more efficient):
- @CachePut(cacheNames = "putCat", key = "#catId")
+ @CachePut(cacheNames = "catById", key = "#catId")
+ @CacheEvict(cacheNames = {"allCats", "allCatsByUser", "allCatsByName"}, allEntries = true)
public CatOutputDTO updateCat(Long catId, CatUpdateDTO dto) {📝 Committable suggestion
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| @CachePut(cacheNames = "putCat", key = "#catId") | |
| public CatOutputDTO updateCat(Long catId, CatUpdateDTO dto) { | |
| @CachePut(cacheNames = "catById", key = "#catId") | |
| @CacheEvict(cacheNames = {"allCats", "allCatsByUser", "allCatsByName"}, allEntries = true) | |
| public CatOutputDTO updateCat(Long catId, CatUpdateDTO dto) { |
| @Cacheable(cacheNames = "allCatsByUser", key = "#user") | ||
| public List<CatOutputDTO> getAllCatsByUser(User user) { |
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💡 Verification agent
🧩 Analysis chain
Potential serialization issue with User parameter in cache key.
The User object is used as a cache key but may not properly implement Serializable or have a suitable hashCode() implementation for cache key usage.
Use a more stable identifier for the cache key:
- @Cacheable(cacheNames = "allCatsByUser", key = "#user")
+ @Cacheable(cacheNames = "allCatsByUser", key = "#user.userId")
public List<CatOutputDTO> getAllCatsByUser(User user) {Also, verify that the User class implements Serializable properly:
🏁 Script executed:
#!/bin/bash
# Check if User implements Serializable
grep -A 2 "class User" src/main/java/org/example/springboot25/entities/User.javaLength of output: 213
Use a stable identifier for the cache key
We verified that User does implement Serializable, but using the entire User object as a cache key can lead to large keys and unintended equals()/hashCode() behavior. Switch to a simple, stable identifier:
• File: src/main/java/org/example/springboot25/service/CatService.java (lines 122–123)
- @Cacheable(cacheNames = "allCatsByUser", key = "#user")
+ @Cacheable(cacheNames = "allCatsByUser", key = "#user.userId")
public List<CatOutputDTO> getAllCatsByUser(User user) {Also, if you ever need to use complex types as keys in the future, ensure they have consistent equals()/hashCode() implementations.
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| @Cacheable(cacheNames = "allCatsByUser", key = "#user") | |
| public List<CatOutputDTO> getAllCatsByUser(User user) { | |
| @Cacheable(cacheNames = "allCatsByUser", key = "#user.userId") | |
| public List<CatOutputDTO> getAllCatsByUser(User user) { |
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enabled_only: false
level: default
biome:
enabled: true
hadolint:
enabled: true
swiftlint:
enabled: true
phpstan:
enabled: true
level: default
golangci-lint:
enabled: true
yamllint:
enabled: true
gitleaks:
enabled: true
checkov:
enabled: true
detekt:
enabled: true
eslint:
enabled: true
rubocop:
enabled: true
buf:
enabled: true
regal:
enabled: true
actionlint:
enabled: true
pmd:
enabled: true
cppcheck:
enabled: true
semgrep:
enabled: true
circleci:
enabled: true
sqlfluff:
enabled: true
prismaLint:
enabled: true
oxc:
enabled: true
shopifyThemeCheck:
enabled: true
chat:
auto_reply: true
integrations:
jira:
usage: auto
linear:
usage: auto
knowledge_base:
opt_out: false
web_search:
enabled: true
learnings:
scope: auto
issues:
scope: auto
jira:
usage: auto
project_keys: []
linear:
usage: auto
team_keys: []
pull_requests:
scope: auto
code_generation:
docstrings:
language: en-US
path_instructions: []
unit_tests:
path_instructions: []
|
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