I am using Guava to cache hot data. When the data does not exist in the cache, I have to get it from database:
public final static LoadingCache<ObjectId, User> UID2UCache = CacheBuilder.newBuilder()
//.maximumSize(2000)
.weakKeys()
.weakValues()
.expireAfterAccess(10, TimeUnit.MINUTES)
.build(
new CacheLoader<ObjectId, User>() {
#Override
public User load(ObjectId k) throws Exception {
User u = DataLoader.datastore.find(User.class).field("_id").equal(k).get();
return u;
}
});
My problem is when the data does not exists in database, I want it to return null and to not do any caching. But Guava saves null with the key in the cache and throws an exception when I get it:
com.google.common.cache.CacheLoader$InvalidCacheLoadException:
CacheLoader returned null for key shisoft.
How do we avoid caching null values?
Just throw some Exception if user is not found and catch it in client code while using get(key) method.
new CacheLoader<ObjectId, User>() {
#Override
public User load(ObjectId k) throws Exception {
User u = DataLoader.datastore.find(User.class).field("_id").equal(k).get();
if (u != null) {
return u;
} else {
throw new UserNotFoundException();
}
}
}
From CacheLoader.load(K) Javadoc:
Returns:
the value associated with key; must not be null
Throws:
Exception - if unable to load the result
Answering your doubts about caching null values:
Returns the value associated with key in this cache, first loading
that value if necessary. No observable state associated with this
cache is modified until loading completes.
(from LoadingCache.get(K) Javadoc)
If you throw an exception, load is not considered as complete, so no new value is cached.
EDIT:
Note that in Caffeine, which is sort of Guava cache 2.0 and "provides an in-memory cache using a Google Guava inspired API" you can return null from load method:
Returns:
the value associated with key or null if not found
If you may consider migrating, your data loader could freely return when user is not found.
Simple solution: use com.google.common.base.Optional<User> instead of User as value.
public final static LoadingCache<ObjectId, Optional<User>> UID2UCache = CacheBuilder.newBuilder()
...
.build(
new CacheLoader<ObjectId, Optional<User>>() {
#Override
public Optional<User> load(ObjectId k) throws Exception {
return Optional.fromNullable(DataLoader.datastore.find(User.class).field("_id").equal(k).get());
}
});
EDIT: I think #Xaerxess' answer is better.
Faced the same issue, cause missing values in the source was part of the normal workflow. Haven't found anything better than to write some code myself using getIfPresent, get and put methods. See the method below, where local is Cache<Object, Object>:
private <K, V> V getFromLocalCache(K key, Supplier<V> fallback) {
#SuppressWarnings("unchecked")
V s = (V) local.getIfPresent(key);
if (s != null) {
return s;
} else {
V value = fallback.get();
if (value != null) {
local.put(key, value);
}
return value;
}
}
When you want to cache some NULL values, you could use other staff which namely behave as NULL.
And before give the solution, I would suggest you not to expose LoadingCache to outside. Instead, you should use method to restrict the scope of Cache.
For example, you could use LoadingCache<ObjectId, List<User>> as return type. And then, you could return empty list when you could'n retrieve values from database. You could use -1 as Integer or Long NULL value, you could use "" as String NULL value, and so on. After this, you should provide a method to handler the NULL value.
when(value equals NULL(-1|"")){
return null;
}
I use the getIfPresent
#Test
public void cache() throws Exception {
System.out.println("3-------" + totalCache.get("k2"));
System.out.println("4-------" + totalCache.getIfPresent("k3"));
}
private LoadingCache<String, Date> totalCache = CacheBuilder
.newBuilder()
.maximumSize(500)
.refreshAfterWrite(6, TimeUnit.HOURS)
.build(new CacheLoader<String, Date>() {
#Override
#ParametersAreNonnullByDefault
public Date load(String key) {
Map<String, Date> map = ImmutableMap.of("k1", new Date(), "k2", new Date());
return map.get(key);
}
});
Related
I'm trying to add custom tags - the path variables and their values from each request - to each metric micrometer generates. I'm using spring-boot with java 16.
From my research i've found that creating a bean of type WebMvcTagsContributor alows me to do just that.
This is the code
public class CustomWebMvcTagsContributor implements WebMvcTagsContributor {
private static int PRINT_ERROR_COUNTER = 0;
#Override
public Iterable<Tag> getTags(HttpServletRequest request, HttpServletResponse response,
Object handler,
Throwable exception) {
return Tags.of(getAllTags(request));
}
private static List<Tag> getAllTags(HttpServletRequest request) {
Object attributesMapObject = request.getAttribute(View.PATH_VARIABLES);
if (isNull(attributesMapObject)) {
attributesMapObject = request.getAttribute(HandlerMapping.URI_TEMPLATE_VARIABLES_ATTRIBUTE);
if (isNull(attributesMapObject)) {
attributesMapObject = extractPathVariablesFromURI(request);
}
}
if (nonNull(attributesMapObject)) {
return getPathVariablesTags(attributesMapObject);
}
return List.of();
}
private static Object extractPathVariablesFromURI(HttpServletRequest request) {
Long currentUserId = SecurityUtils.getCurrentUserId().orElse(null);
try {
URI uri = new URI(request.getRequestURI());
String path = uri.getPath(); //get the path
UriTemplate uriTemplate = new UriTemplate((String) request.getAttribute(
HandlerMapping.BEST_MATCHING_PATTERN_ATTRIBUTE)); //create template
return uriTemplate.match(path); //extract values form template
} catch (Exception e) {
log.warn("[Error on 3rd attempt]", e);
}
return null;
}
private static List<Tag> getPathVariablesTags(Object attributesMapObject) {
try {
Long currentUserId = SecurityUtils.getCurrentUserId().orElse(null);
if (nonNull(attributesMapObject)) {
var attributesMap = (Map<String, Object>) attributesMapObject;
List<Tag> tags = attributesMap.entrySet().stream()
.map(stringObjectEntry -> Tag.of(stringObjectEntry.getKey(),
String.valueOf(stringObjectEntry.getValue())))
.toList();
log.warn("[CustomTags] [{}]", CommonUtils.toJson(tags));
return tags;
}
} catch (Exception e) {
if (PRINT_ERROR_COUNTER < 5) {
log.error("[Error while getting attributes map object]", e);
PRINT_ERROR_COUNTER++;
}
}
return List.of();
}
#Override
public Iterable<Tag> getLongRequestTags(HttpServletRequest request, Object handler) {
return null;
}
}
#Bean
public WebMvcTagsContributor webMvcTagsContributor() {
return new CustomWebMvcTagsContributor();
}
In order to test this, i've created a small spring boot app, added an endpoint to it. It works just fine.
The problem is when I add this code to the production app.
The metrics generates are the default ones and i can't figure out why.
What can I check to see why the tags are not added?
local test project
http_server_requests_seconds_count {exception="None", method="GET",id="123",outcome="Success",status="200",test="test",uri="/test/{id}/compute/{test}",)1.0
in prod - different (& bigger) app
http_server_requests_seconds_count {exception="None", method="GET",outcome="Success",status="200",uri="/api/{something}/test",)1.0
What i've tried and didn't work
Created a bean that implemented WebMvcTagsProvider - this one had an odd behaviour - it wasn't creating metrics for endpoints that had path variables in the path - though in my local test project it worked as expected
I added that log there in order to see what the extra tags are but doesn't seem to reach there as i don't see anything in the logs - i know, you might say that the current user id stops it, but it's not that.
When can redis hasKey method return null? I have seen that if we pass null also in method param it returns false .So is there any scenario when that method can return null?
If you use spring data redis,It mainly includes the following situations
Key does not exist;
After pipline;
After transaction execution
you can take a look at the underlying implementation org. Springframework. Data. Redis. Connection. Jedis. Jediskeycommands #exists (byte []...). Detail as following:
#Override
public Boolean hasKey(K key) {
byte[] rawKey = rawKey(key);
return execute(connection -> connection.exists(rawKey), true);
}
#Nullable
#Override
public Long exists(byte[]... keys) {
Assert.notNull(keys, "Keys must not be null!");
Assert.noNullElements(keys, "Keys must not contain null elements!");
try {
if (**isPipelined**()) {
pipeline(connection.newJedisResult(connection.getRequiredPipeline().exists(keys)));
return **null**;
}
if (**isQueueing**()) {
transaction(connection.newJedisResult(connection.getRequiredTransaction().exists(keys)));
return **null**;
}
return connection.getJedis().exists(keys);
} catch (Exception ex) {
throw connection.convertJedisAccessException(ex);
}
}
I get the following warning in my code, additionally on dev environment I get surprisingly NPE because I thought that my endpoints return empty Flux and not NULL!
public Mono<BackupResponse> getBackupsNumber(
UUID organizationId) {
return confServiceApi
.getObjectsXByGroupId(organizationId) //should not return NULL at all, in the worst case empty Flux, am I right???
.flatMap(
objectX ->
catalogApi.getBackupsNumber(
objectX.getAgentId(), objectX.getProtectionId().toString())) // NPE here!!!
.map(BackupsNumberResponse::getBackups) //here WARNING -> Return null or something nullable from lambda in transformation method
.reduce(0, Integer::sum)
.map(Mapper::createBackupResponse);
}
confServiceApi.getObjectsXByGroupId:
public Flux<ObjectXResponse> getObjectsXByGroupId(UUID groupId) {
return objectXByGroupIdRepository
.findByGroupId(groupId)
.map(Mapper::toObjectXResponse);
}
And catalogApi.getBackupsNumber returns Mono<BackupNumberResponse> with the Integer field in response object:
public Mono<ResponseEntity<BackupsNumberResponse>> getBackupsNumber(
UUID agentId, String protectionId) {
return backupService
.getBackupsNumber(agentId, protectionId)
.map(ResponseEntity::ok);
}
And backupService.getBackupsNumber:
return backupRepository
.countByAgentIdAndProtectionId(agentId, protectionId)
.map(BackupMapper::createObjectResponse);
And mapper:
public static BackupsResponse createBackupsNumberResponse(Long numberOfRecoveryPoints) {
return new BackupsResponse ().backups(numberOfBackups.intValue());
}
I'm using the gemfire-json-server module in SpringXD to populate a GemFire grid with json representation of “Order” objects. I understand the gemfire-json-server module saves data in Pdx form in GemFire. I’d like to read the contents of the GemFire grid into an “Order” object in my application. I get a ClassCastException that reads:
java.lang.ClassCastException: com.gemstone.gemfire.pdx.internal.PdxInstanceImpl cannot be cast to org.apache.geode.demo.cc.model.Order
I’m using the Spring Data GemFire libraries to read contents of the cluster. The code snippet to read the contents of the Grid follows:
public interface OrderRepository extends GemfireRepository<Order, String>{
Order findByTransactionId(String transactionId);
}
How can I use Spring Data GemFire to convert data read from the GemFire cluster into an Order object?
Note: The data was initially stored in GemFire using SpringXD's gemfire-json-server-module
Still waiting to hear back from the GemFire PDX engineering team, specifically on Region.get(key), but, interestingly enough if you annotate your application domain object with...
#JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "#type")
public class Order ... {
...
}
This works!
Under-the-hood I knew the GemFire JSONFormatter class (see here) used Jackson's API to un/marshal (de/serialize) JSON data to and from PDX.
However, the orderRepository.findOne(ID) and ordersRegion.get(key) still do not function as I would expect. See updated test class below for more details.
Will report back again when I have more information.
#RunWith(SpringJUnit4ClassRunner.class)
#ContextConfiguration(classes = GemFireConfiguration.class)
#SuppressWarnings("unused")
public class JsonToPdxToObjectDataAccessIntegrationTest {
protected static final AtomicLong ID_SEQUENCE = new AtomicLong(0l);
private Order amazon;
private Order bestBuy;
private Order target;
private Order walmart;
#Autowired
private OrderRepository orderRepository;
#Resource(name = "Orders")
private com.gemstone.gemfire.cache.Region<Long, Object> orders;
protected Order createOrder(String name) {
return createOrder(ID_SEQUENCE.incrementAndGet(), name);
}
protected Order createOrder(Long id, String name) {
return new Order(id, name);
}
protected <T> T fromPdx(Object pdxInstance, Class<T> toType) {
try {
if (pdxInstance == null) {
return null;
}
else if (toType.isInstance(pdxInstance)) {
return toType.cast(pdxInstance);
}
else if (pdxInstance instanceof PdxInstance) {
return new ObjectMapper().readValue(JSONFormatter.toJSON(((PdxInstance) pdxInstance)), toType);
}
else {
throw new IllegalArgumentException(String.format("Expected object of type PdxInstance; but was (%1$s)",
pdxInstance.getClass().getName()));
}
}
catch (IOException e) {
throw new RuntimeException(String.format("Failed to convert PDX to object of type (%1$s)", toType), e);
}
}
protected void log(Object value) {
System.out.printf("Object of Type (%1$s) has Value (%2$s)", ObjectUtils.nullSafeClassName(value), value);
}
protected Order put(Order order) {
Object existingOrder = orders.putIfAbsent(order.getTransactionId(), toPdx(order));
return (existingOrder != null ? fromPdx(existingOrder, Order.class) : order);
}
protected PdxInstance toPdx(Object obj) {
try {
return JSONFormatter.fromJSON(new ObjectMapper().writeValueAsString(obj));
}
catch (JsonProcessingException e) {
throw new RuntimeException(String.format("Failed to convert object (%1$s) to JSON", obj), e);
}
}
#Before
public void setup() {
amazon = put(createOrder("Amazon Order"));
bestBuy = put(createOrder("BestBuy Order"));
target = put(createOrder("Target Order"));
walmart = put(createOrder("Wal-Mart Order"));
}
#Test
public void regionGet() {
assertThat((Order) orders.get(amazon.getTransactionId()), is(equalTo(amazon)));
}
#Test
public void repositoryFindOneMethod() {
log(orderRepository.findOne(target.getTransactionId()));
assertThat(orderRepository.findOne(target.getTransactionId()), is(equalTo(target)));
}
#Test
public void repositoryQueryMethod() {
assertThat(orderRepository.findByTransactionId(amazon.getTransactionId()), is(equalTo(amazon)));
assertThat(orderRepository.findByTransactionId(bestBuy.getTransactionId()), is(equalTo(bestBuy)));
assertThat(orderRepository.findByTransactionId(target.getTransactionId()), is(equalTo(target)));
assertThat(orderRepository.findByTransactionId(walmart.getTransactionId()), is(equalTo(walmart)));
}
#Region("Orders")
#JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "#type")
public static class Order implements PdxSerializable {
protected static final OrderPdxSerializer pdxSerializer = new OrderPdxSerializer();
#Id
private Long transactionId;
private String name;
public Order() {
}
public Order(Long transactionId) {
this.transactionId = transactionId;
}
public Order(Long transactionId, String name) {
this.transactionId = transactionId;
this.name = name;
}
public String getName() {
return name;
}
public void setName(final String name) {
this.name = name;
}
public Long getTransactionId() {
return transactionId;
}
public void setTransactionId(final Long transactionId) {
this.transactionId = transactionId;
}
#Override
public void fromData(PdxReader reader) {
Order order = (Order) pdxSerializer.fromData(Order.class, reader);
if (order != null) {
this.transactionId = order.getTransactionId();
this.name = order.getName();
}
}
#Override
public void toData(PdxWriter writer) {
pdxSerializer.toData(this, writer);
}
#Override
public boolean equals(Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof Order)) {
return false;
}
Order that = (Order) obj;
return ObjectUtils.nullSafeEquals(this.getTransactionId(), that.getTransactionId());
}
#Override
public int hashCode() {
int hashValue = 17;
hashValue = 37 * hashValue + ObjectUtils.nullSafeHashCode(getTransactionId());
return hashValue;
}
#Override
public String toString() {
return String.format("{ #type = %1$s, id = %2$d, name = %3$s }",
getClass().getName(), getTransactionId(), getName());
}
}
public static class OrderPdxSerializer implements PdxSerializer {
#Override
public Object fromData(Class<?> type, PdxReader in) {
if (Order.class.equals(type)) {
return new Order(in.readLong("transactionId"), in.readString("name"));
}
return null;
}
#Override
public boolean toData(Object obj, PdxWriter out) {
if (obj instanceof Order) {
Order order = (Order) obj;
out.writeLong("transactionId", order.getTransactionId());
out.writeString("name", order.getName());
return true;
}
return false;
}
}
public interface OrderRepository extends GemfireRepository<Order, Long> {
Order findByTransactionId(Long transactionId);
}
#Configuration
protected static class GemFireConfiguration {
#Bean
public Properties gemfireProperties() {
Properties gemfireProperties = new Properties();
gemfireProperties.setProperty("name", JsonToPdxToObjectDataAccessIntegrationTest.class.getSimpleName());
gemfireProperties.setProperty("mcast-port", "0");
gemfireProperties.setProperty("log-level", "warning");
return gemfireProperties;
}
#Bean
public CacheFactoryBean gemfireCache(Properties gemfireProperties) {
CacheFactoryBean cacheFactoryBean = new CacheFactoryBean();
cacheFactoryBean.setProperties(gemfireProperties);
//cacheFactoryBean.setPdxSerializer(new MappingPdxSerializer());
cacheFactoryBean.setPdxSerializer(new OrderPdxSerializer());
cacheFactoryBean.setPdxReadSerialized(false);
return cacheFactoryBean;
}
#Bean(name = "Orders")
public PartitionedRegionFactoryBean ordersRegion(Cache gemfireCache) {
PartitionedRegionFactoryBean regionFactoryBean = new PartitionedRegionFactoryBean();
regionFactoryBean.setCache(gemfireCache);
regionFactoryBean.setName("Orders");
regionFactoryBean.setPersistent(false);
return regionFactoryBean;
}
#Bean
public GemfireRepositoryFactoryBean orderRepository() {
GemfireRepositoryFactoryBean<OrderRepository, Order, Long> repositoryFactoryBean =
new GemfireRepositoryFactoryBean<>();
repositoryFactoryBean.setRepositoryInterface(OrderRepository.class);
return repositoryFactoryBean;
}
}
}
So, as you are aware, GemFire (and by extension, Apache Geode) stores JSON in PDX format (as a PdxInstance). This is so GemFire can interoperate with many different language-based clients (native C++/C#, web-oriented (JavaScript, Pyhton, Ruby, etc) using the Developer REST API, in addition to Java) and also to be able to use OQL to query the JSON data.
After a bit of experimentation, I am surprised GemFire is not behaving as I would expect. I created an example, self-contained test class (i.e. no Spring XD, of course) that simulates your use case... essentially storing JSON data in GemFire as PDX and then attempting to read the data back out as the Order application domain object type using the Repository abstraction, logical enough.
Given the use of the Repository abstraction and implementation from Spring Data GemFire, the infrastructure will attempt to access the application domain object based on the Repository generic type parameter (in this case "Order" from the "OrderRepository" definition).
However, the data is stored in PDX, so now what?
No matter, Spring Data GemFire provides the MappingPdxSerializer class to convert PDX instances back to application domain objects using the same "mapping meta-data" that the Repository infrastructure uses. Cool, so I plug that in...
#Bean
public CacheFactoryBean gemfireCache(Properties gemfireProperties) {
CacheFactoryBean cacheFactoryBean = new CacheFactoryBean();
cacheFactoryBean.setProperties(gemfireProperties);
cacheFactoryBean.setPdxSerializer(new MappingPdxSerializer());
cacheFactoryBean.setPdxReadSerialized(false);
return cacheFactoryBean;
}
You will also notice, I set the PDX 'read-serialized' property (cacheFactoryBean.setPdxReadSerialized(false);) to false in order to ensure data access operations return the domain object and not the PDX instance.
However, this had no affect on the query method. In fact, it had no affect on the following operations either...
orderRepository.findOne(amazonOrder.getTransactionId());
ordersRegion.get(amazonOrder.getTransactionId());
Both calls returned a PdxInstance. Note, the implementation of OrderRepository.findOne(..) is based on SimpleGemfireRepository.findOne(key), which uses GemfireTemplate.get(key), which just performs Region.get(key), and so is effectively the same as (ordersRegion.get(amazonOrder.getTransactionId();). The outcome should not be, especially with Region.get() and read-serialized set to false.
With the OQL query (SELECT * FROM /Orders WHERE transactionId = $1) generated from the findByTransactionId(String id), the Repository infrastructure has a bit less control over what the GemFire query engine will return based on what the caller (OrderRepository) expects (based on the generic type parameter), so running OQL statements could potentially behave differently than direct Region access using get.
Next, I went onto try modifying the Order type to implement PdxSerializable, to handle the conversion during data access operations (direct Region access with get, OQL, or otherwise). This had no affect.
So, I tried to implement a custom PdxSerializer for Order objects. This had no affect either.
The only thing I can conclude at this point is something is getting lost in translation between Order -> JSON -> PDX and then from PDX -> Order. Seemingly, GemFire needs additional type meta-data required by PDX (something like #JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "#type") in the JSON data that PDXFormatter recognizes, though I am not certain it does.
Note, in my test class, I used Jackson's ObjectMapper to serialize the Order to JSON and then GemFire's JSONFormatter to serialize the JSON to PDX, which I suspect Spring XD is doing similarly under-the-hood. In fact, Spring XD uses Spring Data GemFire and is most likely using the JSON Region Auto Proxy support. That is exactly what SDG's JSONRegionAdvice object does (see here).
Anyway, I have an inquiry out to the rest of the GemFire engineering team. There are also things that could be done in Spring Data GemFire to ensure the PDX data is converted, such as making use of the MappingPdxSerializer directly to convert the data automatically on behalf of the caller if the data is indeed of type PdxInstance. Similar to how JSON Region Auto Proxying works, you could write AOP interceptor for the Orders Region to automagicaly convert PDX to an Order.
Though, I don't think any of this should be necessary as GemFire should be doing the right thing in this case. Sorry I don't have a better answer right now. Let's see what I find out.
Cheers and stay tuned!
See subsequent post for test code.
I am working with Spring and EhCache
I have the following method
#Override
#Cacheable(value="products", key="#root.target.PRODUCTS")
public Set<Product> findAll() {
return new LinkedHashSet<>(this.productRepository.findAll());
}
I have other methods working with #Cacheable and #CachePut and #CacheEvict.
Now, imagine the database returns 100 products and they are cached through key="#root.target.PRODUCTS", then other method would insert - update - deleted an item into the database. Therefore the products cached through the key="#root.target.PRODUCTS" are not the same anymore such as the database.
I mean, check the two following two methods, they are able to update/delete an item, and that same item is cached in the other key="#root.target.PRODUCTS"
#Override
#CachePut(value="products", key="#product.id")
public Product update(Product product) {
return this.productRepository.save(product);
}
#Override
#CacheEvict(value="products", key="#id")
public void delete(Integer id) {
this.productRepository.delete(id);
}
I want to know if is possible update/delete the item located in the cache through the key="#root.target.PRODUCTS", it would be 100 with the Product updated or 499 if the Product was deleted.
My point is, I want avoid the following:
#Override
#CachePut(value="products", key="#product.id")
#CacheEvict(value="products", key="#root.target.PRODUCTS")
public Product update(Product product) {
return this.productRepository.save(product);
}
#Override
#Caching(evict={
#CacheEvict(value="products", key="#id"),
#CacheEvict(value="products", key="#root.target.PRODUCTS")
})
public void delete(Integer id) {
this.productRepository.delete(id);
}
I don't want call again the 500 or 499 products to be cached into the key="#root.target.PRODUCTS"
Is possible do this? How?
Thanks in advance.
Caching the collection using the caching abstraction is a duplicate of what the underlying caching system is doing. And because this is a duplicate, it turns out that you have to resort to some kind of duplications in your own code in one way or the other (the duplicate key for the set is the obvious representation of that). And because there is duplication, you have to sync state somehow
If you really need to access to the whole set and individual elements, then you should probably use a shortcut for the easiest leg. First, you should make sure your cache contains all elements which is not something that is obvious. Far from it actually. Considering you have that:
//EhCacheCache cache = (EhCacheCache) cacheManager.getCache("products");
#Override
public Set<Product> findAll() {
Ehcache nativeCache = cache.getNativeCache();
Map<Object, Element> elements = nativeCache.getAll(nativeCache.getKeys());
Set<Product> result = new HashSet<Product>();
for (Element element : elements.values()) {
result.add((Product) element.getObjectValue());
}
return Collections.unmodifiableSet(result);
}
The elements result is actually a lazy loaded map so a call to values() may throw an exception. You may want to loop over the keys or something.
You have to remember that the caching abstraction eases the access to the underlying caching infrastructure and in no way it replaces it: if you had to use the API directly, this is probably what you would have to do in some sort.
Now, we can keep the conversion on SPR-12036 if you believe we can improve the caching abstraction in that area. Thanks!
I think something like this schould work... Actually it's only a variation if "Stéphane Nicoll" answer ofcourse, but it may be useful for someone. I write it right here and haven't check it in IDE, but something similar works in my Project.
Override CacheResolver:
#Cacheable(value="products", key="#root.target.PRODUCTS", cacheResolver = "customCacheResolver")
Implement your own cache resolver, which search "inside" you cached items and do the work in there
public class CustomCacheResolver implements CacheResolver{
private static final String CACHE_NAME = "products";
#Autowired(required = true) private CacheManager cacheManager;
#SuppressWarnings("unchecked")
#Override
public Collection<? extends Cache> resolveCaches(CacheOperationInvocationContext<?> cacheOperationInvocationContext) {
// 1. Take key from query and create new simple key
SimpleKey newKey;
if (cacheOperationInvocationContext.getArgs().length != null) { //optional
newKey = new SimpleKey(args); //It's the key of cached object, which your "#Cachable" search for
} else {
//Schould never be... DEFAULT work with cache if something wrong with arguments
return new ArrayList<>(Arrays.asList(cacheManager.getCache(CACHE_NAME)));
}
// 2. Take cache
EhCacheCache ehCache = (EhCacheCache)cacheManager.getCache(CACHE_NAME); //this one we bringing back
Ehcache cache = (Ehcache)ehCache.getNativeCache(); //and with this we working
// 3. Modify existing Cache if we have it
if (cache.getKeys().contains(newKey) && YouWantToModifyIt) {
Element element = cache.get(key);
if (element != null && !((List<Products>)element.getObjectValue()).isEmpty()) {
List<Products> productsList = (List<Products>)element.getObjectValue();
// ---**--- Modify your "productsList" here as you want. You may now Change single element in this list.
ehCache.put(key, anfragenList); //this method NOT adds cache, but OVERWRITE existing
// 4. Maybe "Create" new cache with this key if we don't have it
} else {
ehCache.put(newKey, YOUR_ELEMENTS);
}
return new ArrayList<>(Arrays.asList(ehCache)); //Bring all back - our "new" or "modified" cache is in there now...
}
Read more about CRUD of EhCache: EhCache code samples
Hope it helps. And sorry for my English:(
I think there is a way to read the collection from underlying cache structure of spring. You can retrieve the collection from underlying ConcurrentHashMap as key-value pairs without using EhCache or anything else. Then you can update or remove an entry from that collection and then you can update the cache too. Here is an example that may help:
import com.crud.model.Post;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.cache.Cache;
import org.springframework.cache.CacheManager;
import org.springframework.cache.interceptor.CacheOperationInvocationContext;
import org.springframework.cache.interceptor.CacheResolver;
import org.springframework.cache.interceptor.SimpleKey;
import org.springframework.stereotype.Component;
import java.util.*;
#Component
#Slf4j
public class CustomCacheResolver implements CacheResolver {
private static final String CACHE_NAME = "allPost";
#Autowired
private CacheManager cacheManager;
#SuppressWarnings("unchecked")
#Override
public Collection<? extends Cache> resolveCaches(CacheOperationInvocationContext<?> cacheOperationInvocationContext) {
log.info(Arrays.toString(cacheOperationInvocationContext.getArgs()));
String method = cacheOperationInvocationContext.getMethod().toString();
Post post = null;
Long postId = null;
if(method.contains("update")) {
//get the updated post
Object[] args = cacheOperationInvocationContext.getArgs();
post = (Post) args[0];
}
else if(method.contains("delete")){
//get the post Id to delete
Object[] args = cacheOperationInvocationContext.getArgs();
postId = (Long) args[0];
}
//read the cache
Cache cache = cacheManager.getCache(CACHE_NAME);
//get the concurrent cache map in key-value pair
assert cache != null;
Map<SimpleKey, List<Post>> map = (Map<SimpleKey, List<Post>>) cache.getNativeCache();
//Convert to set to iterate
Set<Map.Entry<SimpleKey, List<Post>>> entrySet = map.entrySet();
Iterator<Map.Entry<SimpleKey, List<Post>>> itr = entrySet.iterator();
//if a iterated entry is a list then it is our desired data list!!! Yayyy
Map.Entry<SimpleKey, List<Post>> entry = null;
while (itr.hasNext()){
entry = itr.next();
if(entry instanceof List) break;
}
//get the list
assert entry != null;
List<Post> postList = entry.getValue();
if(method.contains("update")) {
//update it
for (Post temp : postList) {
assert post != null;
if (temp.getId().equals(post.getId())) {
postList.remove(temp);
break;
}
}
postList.add(post);
}
else if(method.contains("delete")){
//delete it
for (Post temp : postList) {
if (temp.getId().equals(postId)) {
postList.remove(temp);
break;
}
}
}
//update the cache!! :D
cache.put(entry.getKey(),postList);
return new ArrayList<>(Collections.singletonList(cacheManager.getCache(CACHE_NAME)));
}
}
Here are the methods that uses the CustomCacheResolver
#Cacheable(key = "{#pageNo,#pageSize}")
public List<Post> retrieveAllPost(int pageNo,int pageSize){ // return list}
#CachePut(key = "#post.id",cacheResolver = "customCacheResolver")
public Boolean updatePost(Post post, UserDetails userDetails){ //your logic}
#CachePut(key = "#postId",cacheResolver = "customCacheResolver")
public Boolean deletePost(Long postId,UserDetails userDetails){ // your logic}
#CacheEvict(allEntries = true)
public Boolean createPost(String userId, Post post){//your logic}
Hope it helps to manipulate your spring application cache manually!
Though I don't see any easy way, but you can override Ehcache cache functionality by supplying cache decorator. Most probably you'd want to use EhcahceDecoratorAdapter, to enhance functions used by EhCacheCache put and evict methods.
Simple and rude solution is :
#Cacheable(key = "{#pageNo,#pageSize}")
public List<Post> retrieveAllPost(int pageNo,int pageSize){ // return list}
#CacheEvict(allEntries = true)
public Boolean updatePost(Post post, UserDetails userDetails){ //your logic}
#CacheEvict(allEntries = true)
public Boolean deletePost(Long postId,UserDetails userDetails){ // your logic}
#CacheEvict(allEntries = true)
public Boolean createPost(String userId, Post post){//your logic}