unit-test-caching
Provides patterns for unit testing Spring Cache annotations (@Cacheable, @CachePut, @CacheEvict). Generates test code that mocks cache managers, verifies cache hit/miss behavior, tests cache key generation with SpEL expressions, validates eviction strategies, and checks conditional caching scenarios…
Install / Use
npx skills add giuseppe-trisciuoglio/developer-kit --skill unit-test-cachingInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of unit-test-caching
unit-test-caching scores 83/100 on our quality scale, 2986th of 4,604 Development & Engineering skills we index.
Its SKILL.md is 11 KB long, well organised into 16 sections with 7 code examples: a thorough specification that gives an agent plenty to work with.
It has 353 GitHub stars, a meaningful sign that others use it.
Maintenance, license and trust
- The repository was last updated 26 days ago, so unit-test-caching is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
unit-test-caching compared with similar skills
All 4 of these similar skills score higher than unit-test-caching; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| unit-test-caching (this skill)by giuseppe-trisciuoglio | 83 | 353 | 26d ago | SKILL.md |
| ai-job-searchby MadsLorentzen | 100 | 45.1k | 1d ago | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.8k | 6d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 14d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 14d ago | SKILL.md |
Frequently asked questions
- How do I install unit-test-caching?
- Run
npx skills add giuseppe-trisciuoglio/developer-kit --skill unit-test-caching. The install tabs above show the steps for each supported agent. - Which AI agents does unit-test-caching work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is unit-test-caching safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is unit-test-caching still maintained?
- The repository was last updated 26 days ago, so unit-test-caching is actively maintained.
Skill content
View source on GitHubname: unit-test-caching description: "Provides patterns for unit testing Spring Cache annotations (@Cacheable, @CachePut, @CacheEvict). Generates test code that mocks cache managers, verifies cache hit/miss behavior, tests cache key generation with SpEL expressions, validates eviction strategies, and checks conditional caching scenarios. Triggers: caching tests, test Spring cache, mock cache, Spring Boot caching, cache hit/miss verification, @Cacheable testing." allowed-tools: Read, Write, Bash, Glob, Grep
Unit Testing Spring Caching
Overview
This skill provides patterns for unit testing Spring caching annotations (@Cacheable, @CacheEvict, @CachePut) without full Spring context. It covers cache hits/misses, invalidation, key generation, and conditional caching using in-memory ConcurrentMapCacheManager.
When to Use
- Writing unit tests for
@Cacheablemethod behavior - Verifying
@CacheEvictcache invalidation works correctly - Testing
@CachePutcache updates - Validating cache key generation from SpEL expressions
- Testing conditional caching with
unless/conditionparameters - Mocking cache managers in fast unit tests without Redis
Instructions
- Configure in-memory CacheManager: Use
ConcurrentMapCacheManagerfor tests - Set up test fixtures: Mock repository and create service instance in
@BeforeEach - Verify repository call counts: Use
times(n)assertions to confirm cache behavior - Test cache hit: Call method twice, verify repository called once
- Test cache miss: Verify repository called on each invocation
- Test eviction: After
@CacheEvict, verify repository called again on next read - Test key generation: Verify compound keys from SpEL expressions
- Validate conditional caching: Test
unless(null results) andcondition(parameter-based)
Validation checkpoints:
- Run test → If cache not working: verify
@EnableCachingannotation present - If proxy issues: ensure method calls go through Spring proxy (no direct
thiscalls) - If key mismatches: log actual cache key and compare with
@Cacheable(key="...")expression
Examples
Maven
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-cache</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
Gradle
dependencies {
implementation("org.springframework.boot:spring-boot-starter-cache")
testImplementation("org.springframework.boot:spring-boot-starter-test")
}
Testing @Cacheable (Cache Hit/Miss)
// Service
@Service
public class UserService {
private final UserRepository userRepository;
public UserService(UserRepository userRepository) {
this.userRepository = userRepository;
}
@Cacheable("users")
public User getUserById(Long id) {
return userRepository.findById(id).orElse(null);
}
}
// Test
class UserServiceCachingTest {
private UserRepository userRepository;
private UserService userService;
@BeforeEach
void setUp() {
userRepository = mock(UserRepository.class);
userService = new UserService(userRepository);
}
@Test
void shouldCacheUserAfterFirstCall() {
User user = new User(1L, "Alice");
when(userRepository.findById(1L)).thenReturn(Optional.of(user));
// First call - hits database
User firstCall = userService.getUserById(1L);
// Second call - hits cache
User secondCall = userService.getUserById(1L);
assertThat(firstCall).isEqualTo(secondCall);
verify(userRepository, times(1)).findById(1L); // Only once due to cache
}
@Test
void shouldInvokeRepositoryOnCacheMiss() {
when(userRepository.findById(1L)).thenReturn(Optional.of(new User(1L, "Bob")));
userService.getUserById(1L);
userService.getUserById(1L);
verify(userRepository, times(2)).findById(1L); // No caching occurred
}
}
Testing @CacheEvict
// Service
@Service
public class ProductService {
private final ProductRepository productRepository;
public ProductService(ProductRepository productRepository) {
this.productRepository = productRepository;
}
@Cacheable("products")
public Product getProductById(Long id) {
return productRepository.findById(id).orElse(null);
}
@CacheEvict("products")
public void deleteProduct(Long id) {
productRepository.deleteById(id);
}
}
// Test
class ProductCacheEvictTest {
private ProductRepository productRepository;
private ProductService productService;
@BeforeEach
void setUp() {
productRepository = mock(ProductRepository.class);
productService = new ProductService(productRepository);
}
@Test
void shouldEvictProductFromCacheWhenDeleted() {
Product product = new Product(1L, "Laptop", 999.99);
when(productRepository.findById(1L)).thenReturn(Optional.of(product));
productService.getProductById(1L); // Cache the product
productService.deleteProduct(1L); // Evict from cache
// Repository called again after eviction
productService.getProductById(1L);
verify(productRepository, times(2)).findById(1L);
}
@Test
void shouldClearAllEntriesWithAllEntriesTrue() {
Product product1 = new Product(1L, "Laptop", 999.99);
Product product2 = new Product(2L, "Mouse", 29.99);
when(productRepository.findById(anyLong())).thenAnswer(i ->
Optional.of(new Product(i.getArgument(0), "Product", 10.0)));
productService.getProductById(1L);
productService.getProductById(2L);
// Use reflection or clear() on ConcurrentMapCache
productService.clearAllProducts();
productService.getProductById(1L);
productService.getProductById(2L);
verify(productRepository, times(4)).findById(anyLong());
}
}
Testing @CachePut
@Service
public class OrderService {
private final OrderRepository orderRepository;
public OrderService(OrderRepository orderRepository) {
this.orderRepository = orderRepository;
}
@Cacheable("orders")
public Order getOrder(Long id) {
return orderRepository.findById(id).orElse(null);
}
@CachePut(value = "orders", key = "#order.id")
public Order updateOrder(Order order) {
return orderRepository.save(order);
}
}
class OrderCachePutTest {
private OrderRepository orderRepository;
private OrderService orderService;
@BeforeEach
void setUp() {
orderRepository = mock(OrderRepository.class);
orderService = new OrderService(orderRepository);
}
@Test
void shouldUpdateCacheWhenOrderIsUpdated() {
Order original = new Order(1L, "Pending", 100.0);
Order updated = new Order(1L, "Shipped", 100.0);
when(orderRepository.findById(1L)).thenReturn(Optional.of(original));
when(orderRepository.save(updated)).thenReturn(updated);
orderService.getOrder(1L);
orderService.updateOrder(updated);
// Next call returns updated version from cache
Order cachedOrder = orderService.getOrder(1L);
assertThat(cachedOrder.getStatus()).isEqualTo("Shipped");
}
}
Testing Conditional Caching
@Service
public class DataService {
private final DataRepository dataRepository;
public DataService(DataRepository dataRepository) {
this.dataRepository = dataRepository;
}
// Don't cache null results
@Cacheable(value = "data", unless = "#result == null")
public Data getData(Long id) {
return dataRepository.findById(id).orElse(null);
}
// Only cache when id > 0
@Cacheable(value = "users", condition = "#id > 0")
public User getUser(Long id) {
return dataRepository.findById(id).map(u -> new User(u.getId(), u.getName())).orElse(null);
}
}
class ConditionalCachingTest {
@Test
void shouldNotCacheNullResults() {
DataRepository dataRepository = mock(DataRepository.class);
when(dataRepository.findById(999L)).thenReturn(Optional.empty());
DataService service = new DataService(dataRepository);
service.getData(999L);
service.getData(999L);
verify(dataRepository, times(2)).findById(999L); // Called twice - no caching
}
@Test
void shouldNotCacheWhenConditionIsFalse() {
DataRepository dataRepository = mock(DataRepository.class);
when(dataRepository.findById(-1L)).thenReturn(Optional.of(new Data(-1L, "Test")));
DataService service = new DataService(dataRepository);
service.getUser(-1L);
service.getUser(-1L);
verify(dataRepository, times(2)).findById(-1L); // Condition "#id > 0" = false
}
}
Testing Cache Keys with SpEL
@Service
public class InventoryService {
private final InventoryRepository inventoryRepository;
public InventoryService(InventoryRepository inventoryRepository) {
this.inventoryRepository = inventoryRepository;
}
// Compound key: productId-warehouseId
@Cacheable(value = "inventory", key = "#productId + '-' + #warehouseId")
public InventoryItem getInventory(Long productId, Long warehouseId) {
return inventoryRepository.findByProductAndWarehouse(productId, warehouseId);
}
}
class CacheKeyTest {
@Test
void shouldUseCorrectCacheKeyForDifferentCombinations() {
InventoryRepository repository = mock(InventoryRepository.class);
InventoryItem item = new InventoryItem(1L, 1L, 100);
when(repository.findByProductAndWarehouse(1L, 1L)).thenReturn(item);
InventoryService service = new InventoryService(repository);
// Same key: "1-1" - should cache
service.getInventory(1L, 1L);
service.getInventory(1L, 1L); // Cache hit
verify(repository, times(1)).findByProductAndWarehouse(1L, 1L);
// Different key: "2-1" - cache miss
service.getInventory(2L, 1L); // Cache miss
verify(repository, times(2)).findByProductAndWarehouse(any(), any());
}
}
Best Practices
- Mock repository calls: Use
verify(mock, times(n))to assert cache behavior - Test both hit and miss scenarios: Don't just test the happy path
- Clear cache state: Reset between tests to avoid flaky results
- Use
ConcurrentMapCacheManager: Fast, no external dependencies - Verify eviction: Always test that
@CacheEvictactually invalidates cached data
Constraints and Warnings
@Cacheablerequires proxy: Direct method calls (this.method()) bypass caching - use dependency injection- Cache key collisions: Compound keys from SpEL must be unique per dataset
- Null caching: Null results are cached by default - use
unless = "#result == null"to exclude @CachePutalways executes: Unlike@Cacheable, it always runs the method- Memory usage: In-memory caches grow unbounded - consider TTL for long-running tests
- Thread safety:
ConcurrentMapCacheManageris thread-safe; distributed caches may require additional config
Troubleshooting
| Issue | Solution |
|-------|----------|
| Cache not working | Verify @EnableCaching on test config |
| Proxy bypass | Use autowired/constructor injection, not direct this calls |
| Key mismatch | Log cache key with cache.getNativeKey() to debug SpEL |
| Flaky tests | Clear cache in @BeforeEach before each test |
References
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