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/*
 * Copyright (c) 2008-2020, Hazelcast, Inc. All Rights Reserved.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.hazelcast.map;

import com.hazelcast.aggregation.Aggregator;
import com.hazelcast.config.IndexConfig;
import com.hazelcast.config.IndexType;
import com.hazelcast.config.MaxSizePolicy;
import com.hazelcast.core.EntryView;
import com.hazelcast.core.Offloadable;
import com.hazelcast.core.ReadOnly;
import com.hazelcast.map.listener.MapListener;
import com.hazelcast.map.listener.MapPartitionLostListener;
import com.hazelcast.projection.Projection;
import com.hazelcast.query.Predicate;
import com.hazelcast.query.impl.IndexUtils;
import com.hazelcast.spi.properties.ClusterProperty;

import jakarta.annotation.Nonnull;
import jakarta.annotation.Nullable;
import java.util.Collection;
import java.util.Map;
import java.util.Set;
import java.util.UUID;
import java.util.concurrent.CompletionStage;
import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.TimeUnit;
import java.util.function.BiConsumer;
import java.util.function.BiFunction;
import java.util.function.Function;

/**
 * Concurrent, distributed, observable and queryable map.
 * 

* This class is not a general-purpose {@code ConcurrentMap} * implementation! While this class implements the {@code Map} interface, * it intentionally violates {@code Map's} general contract, which mandates * the use of the {@code equals} method when comparing objects. Instead of * the {@code equals} method, this implementation compares the serialized * byte version of the objects. *

* Moreover, stored values are handled as having a value type semantics, * while standard Java implementations treat them as having a reference type * semantics. *

* Gotchas: *

    *
  • Methods, including but not limited to {@code get}, {@code containsKey}, * {@code containsValue}, {@code evict}, {@code remove}, {@code put}, * {@code putIfAbsent}, {@code replace}, {@code lock}, {@code unlock}, do * not use {@code hashCode} and {@code equals} implementations of keys. * Instead, they use {@code hashCode} and {@code equals} of binary (serialized) * forms of the objects.
  • *
  • The {@code get} method returns a clone of original values, so modifying * the returned value does not change the actual value in the map. You should * put the modified value back to make changes visible to all nodes. * For additional info, see {@link IMap#get(Object)}.
  • *
  • Methods, including but not limited to {@code keySet}, {@code values}, * {@code entrySet}, return an immutable collection clone of the values. * The collection is NOT backed by the map, so changes to the map are * NOT reflected in the collection.
  • *
  • Since Hazelcast is compiled with Java 1.6, we can't override default * methods introduced in later Java versions, nor can we add documentation * to them. Methods, including but not limited to {@code computeIfPresent}, * may behave incorrectly if the value passed to the update function is * modified in-place and returned as a result of the invocation. * You should create a new value instance and return it as a result. *

    * For example, following code fragment will behave incorrectly and will * enter an infinite loop: *

     * map.computeIfPresent("key", (key, value) -> {
     *     value.setSomeAttribute("newAttributeValue");
     *     return value;
     * });
     * 
    * It should be replaced with: *
     * map.computeIfPresent("key", (key, value) -> {
     *     return new ObjectWithSomeAttribute("newAttributeValue");
     * });
     * 
    *
  • *
  • Be careful while using default interface method implementations from * {@link ConcurrentMap} and {@link Map}. Under the hood they are typically * implemented as a sequence of more primitive map operations, therefore the * operations won't be executed atomically.
  • *
*

* This class does not allow {@code null} to be used as a key or * value. *

* Entry Processing *

* The following operations are lock-aware, since they operate on a single * key only. * If the key is locked, the EntryProcessor will wait until it acquires the * lock. *

    *
  • {@link IMap#executeOnKey(Object, EntryProcessor)}
  • *
  • {@link IMap#submitToKey(Object, EntryProcessor)}
  • *
* However, there are following methods that run the {@code EntryProcessor} * on more than one entry. * These operations are not lock-aware. * The {@code EntryProcessor} will process the entries no matter if they * are locked or not. * The user may however check if an entry is locked by casting the * {@link Map.Entry} to {@link LockAware} and invoking the * {@link LockAware#isLocked()} method. *
    *
  • {@link IMap#executeOnEntries(EntryProcessor)}
  • *
  • {@link IMap#executeOnEntries(EntryProcessor, Predicate)}
  • *
  • {@link IMap#executeOnKeys(Set, EntryProcessor)}
  • *
* This applies to both {@code EntryProcessor} and {@code BackupEntryProcessor}. * *

* Split-brain *

* Behaviour of {@link IMap} under split-brain scenarios should be taken * into account when using this data structure. During a split, each * partitioned cluster will either create a brand new {@link IMap} or it * will continue to use the primary or back-up version. *

* When the split heals, Hazelcast by default, performs a * {@link com.hazelcast.spi.merge.PutIfAbsentMergePolicy}. * Users can also decide to * * specify their own map merge policies, these policies when used in * concert with * CRDTs (Convergent and Commutative * Replicated Data Types) can ensure against data loss during a split-brain. *

* As a defensive mechanism against such inconsistency, consider using the * in-built * * split-brain protection for {@link IMap}. Using this functionality * it is possible to restrict operations in smaller partitioned clusters. * It should be noted that there is still an inconsistency window between * the time of the split and the actual detection. Therefore using this * reduces the window of inconsistency but can never completely eliminate * it. * *

Interactions with the map store *

* Maps can be configured to be backed by a map store to persist the entries. * In this case many of the IMap methods call {@link MapLoader} or * {@link MapStore} methods to load, store or remove data. Each method's * javadoc describes the way of its interaction with the map store. * *

Expiration and eviction *

* Expiration puts a limit on the maximum lifetime of an entry stored * inside the map. When the entry expires it can't be retrieved from the map * any longer and at some point in time it will be cleaned out from the map * to free up the memory. There are two expiration policies: *

    *
  • The time-to-live (TTL) expiration policy limits the lifetime of the * entry relative to the time of the last write access performed on * the entry. The default TTL value for the map may be configured using * the {@code time-to-live-seconds} setting, which has an infinite by default. * An individual entry may have its own TTL value assigned using one of the * methods accepting a TTL value, for instance using the * {@link #put(Object, Object, long, TimeUnit) put} method. If there is no * TTL value provided for the individual entry, it inherits the value set * in the map configuration. *
  • The max-idle expiration policy limits the lifetime of the entry * relative to the time of the last read or write access * performed on the entry. The max-idle value for the map may be configured * using the {@code max-idle-seconds} setting, which has an infinite value * by default. *
*

* Both expiration policies may be used simultaneously on the map entries. * In such case, the entry is considered expired if at least one of the * policies marks it as expired. *

* Eviction puts a limit on the maximum size of the map. If the size of the * map grows larger than the maximum allowed size, an eviction policy decides * which item to evict from the map to reduce its size. The maximum allowed * size may be configured using the * {@link MaxSizePolicy max-size} setting * and the eviction policy may be configured using the * {@link com.hazelcast.config.EvictionPolicy eviction-policy} setting as well. * By default, maps have no restrictions on the size and may grow arbitrarily * large. *

* Eviction may be enabled along with the expiration policies. In such case, * the expiration policies continue to work as usual cleaning out the expired * entries regardless of the map size. *

* Locked map entries are not the subjects for the expiration and eviction * policies. * *

Mutating methods without TTL *

* Certain {@link IMap} methods perform the entry set mutation and don't * accept TTL as a parameter. Entries created or updated by such methods are * subjects for the following TTL calculation procedure: *

    *
  • If the entry is new, i.e. the entry was created, it receives the default * TTL value configured for the map using the {@code time-to-live-seconds} * configuration setting. If this setting is not provided for the map, the * entry receives an infinite TTL value. *
  • If the entry already exists, i.e. the entry was updated, its TTL value * remains unchanged and its lifetime is prolonged by this TTL value. *
* The methods to which this procedure applies: {@link #put(Object, Object) put}, * {@link #set(Object, Object) set}, {@link #putAsync(Object, Object) putAsync}, * {@link #setAsync(Object, Object) setAsync}, * {@link #tryPut(Object, Object, long, TimeUnit) tryPut}, * {@link #putAll(Map) putAll}, {@link #setAll(Map) setAll}, * {@link #putAllAsync(Map) putAllAsync}, {@link #setAllAsync(Map) setAllAsync}, * {@link #replace(Object, Object, Object)} and {@link #replace(Object, Object)}. * *

* Asynchronous methods *

* Asynchronous methods return a {@link CompletionStage} that can be used to * chain further computation stages. Alternatively, a {@link java.util.concurrent.CompletableFuture} * can be obtained via {@link CompletionStage#toCompletableFuture()} to wait * for the operation to complete in a blocking way. *

* Actions supplied for dependent completions of default non-async methods and async methods * without an explicit {@link java.util.concurrent.Executor} argument are performed * by the {@link java.util.concurrent.ForkJoinPool#commonPool()} (unless it does not * support a parallelism level of at least 2, in which case a new {@code Thread} is * created per task). * * @param key type * @param value type * @see java.util.concurrent.ConcurrentMap */ public interface IMap extends ConcurrentMap, BaseMap { /** * {@inheritDoc} *

* No atomicity guarantees are given. It could be that in case of failure * some of the key/value-pairs get written, while others are not. * *

Interactions with the map store *

* For each element not found in memory * {@link MapLoader#load(Object)} is invoked to load the value from * the map store backing the map, which may come at a significant * performance cost. Exceptions thrown by load fail the operation * and are propagated to the caller. The elements which were added * before the exception was thrown will remain in the map, the rest * will not be added. *

* If write-through persistence mode is configured, * {@link MapStore#store(Object, Object)} is invoked for each element * before the element is added in memory, which may come at a * significant performance cost. Exceptions thrown by store fail the * operation and are propagated to the caller. The elements which * were added before the exception was thrown will remain in the map, * the rest will not be added. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. */ void putAll(@Nonnull Map m); /** * {@inheritDoc} *

* Warning: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. * *

Interactions with the map store *

* If {@code key} is not found in memory * {@link MapLoader#load(Object)} is invoked to load the value from * the map store backing the map. Exceptions thrown by load fail * the operation and are propagated to the caller. * * @throws NullPointerException if the specified key is {@code null} */ boolean containsKey(@Nonnull Object key); /** * {@inheritDoc} * * @throws NullPointerException if the specified value is {@code null} */ boolean containsValue(@Nonnull Object value); /** * {@inheritDoc} *

* Warning 1: *

* This method returns a clone of the original value, so modifying the returned * value does not change the actual value in the map. You should put the * modified value back to make changes visible to all nodes. *

     *      V value = map.get(key);
     *      value.updateSomeProperty();
     *      map.put(key, value);
     * 
*

* Warning 2: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. * *

Interactions with the map store *

* If value with {@code key} is not found in memory * {@link MapLoader#load(Object)} is invoked to load the value from * the map store backing the map. Exceptions thrown by load fail * the operation and are propagated to the caller. * * @throws NullPointerException if the specified key is {@code null} */ V get(@Nonnull Object key); /** * {@inheritDoc} *

* Warning 1: *

* This method returns a clone of the previous value, not the original * (identically equal) value previously put into the map. *

* Warning 2: *

* This method uses {@code hashCode} and {@code equals} of the binary form of * the {@code key}, not the actual implementations of {@code hashCode} and {@code equals} * defined in the {@code key}'s class. *

Note: * Use {@link #set(Object, Object)} if you don't need the return value, it's * slightly more efficient. * *

Interactions with the map store *

* If no value is found with {@code key} in memory, * {@link MapLoader#load(Object)} is invoked to load the value from * the map store backing the map. Exceptions thrown by load fail * the operation and are propagated to the caller. *

* If write-through persistence mode is configured, before the value * is stored in memory, {@link MapStore#store(Object, Object)} is * called to write the value into the map store. Exceptions thrown * by store fail the operation and are propagated to the caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @throws NullPointerException if the specified key or value is null */ V put(@Nonnull K key, @Nonnull V value); /** * Removes the mapping for a key from this map if it is present. *

* If you don't need the previously mapped value for the removed key, prefer * to use {@link #delete} and avoid the cost of serialization and network * transfer. *

* Warning 1: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. *

* Warning 2: *

* This method returns a clone of the previous value, not the original * (identically equal) value previously put into the map. * *

Interactions with the map store *

* If no value is found with {@code key} in memory, * {@link MapLoader#load(Object)} is invoked to load the value from * the map store backing the map. Exceptions thrown by load fail * the operation and are propagated to the caller. *

* If write-through persistence mode is configured, before the value * is removed from the memory, {@link MapStore#delete(Object)} is * called to remove the value from the map store. Exceptions thrown * by delete fail the operation and are propagated to the caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @throws NullPointerException if the specified key is null * @see #delete(Object) */ V remove(@Nonnull Object key); /** * {@inheritDoc} *

* Warning: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. * *

Interactions with the map store *

* If no value is found with {@code key} in memory, * {@link MapLoader#load(Object)} is invoked to load the value from * the map store backing the map. Exceptions thrown by load fail * the operation and are propagated to the caller. *

* If write-through persistence mode is configured, before the value * is removed from the memory, {@link MapStore#delete(Object)} is * called to remove the value from the map store. Exceptions thrown * by delete fail the operation and are propagated to the caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @throws NullPointerException if the specified key or value is null */ boolean remove(@Nonnull Object key, @Nonnull Object value); /** * Removes all entries which match with the supplied predicate. *

* If this map has index, matching entries will be found via * index search, otherwise they will be found by full-scan. *

* Note that calling this method also removes all entries from * caller's Near Cache. * *

Interactions with the map store *

* If write-through persistence mode is configured, before a value is * removed from the memory, {@link MapStore#delete(Object)} is called to * remove the value from the map store. Exceptions thrown by delete fail * the operation and are propagated to the caller. *

* If write-behind persistence mode is configured with write-coalescing * turned off, {@link com.hazelcast.map.ReachedMaxSizeException} may be * thrown if the write-behind queue has reached its per-node maximum * capacity. * * @param predicate matching entries with this predicate will be removed * from this map * @throws NullPointerException if the specified predicate is null */ void removeAll(@Nonnull Predicate predicate); /** * Removes the mapping for the key from this map if it is present. *

* Unlike {@link #remove(Object)}, this operation does not return * the removed value, which avoids the serialization and network transfer cost of the * returned value. If the removed value will not be used, this operation * is preferred over the remove operation for better performance. *

* The map will not contain a mapping for the specified key once the call returns. *

* Warning: *

* This method breaks the contract of EntryListener. * When an entry is removed by delete(), it fires an EntryEvent with a null oldValue. *

* Also, a listener with predicates will have null values, so only keys can be queried via predicates. * *

Interactions with the map store *

* If write-through persistence mode is configured, before the value * is removed from the the memory, {@link MapStore#delete(Object)} * is called to remove the value from the map store. Exceptions * thrown by delete fail the operation and are propagated to the * caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @param key key whose mapping is to be removed from the map * @throws ClassCastException if the key is of an inappropriate type for this map (optional) * @throws NullPointerException if the specified key is null * @see #remove(Object) */ void delete(@Nonnull Object key); /** * If this map has a MapStore, this method flushes * all the local dirty entries. * *

Interactions with the map store *

* Calls {@link MapStore#storeAll(Map)} and/or * {@link MapStore#deleteAll(Collection)} with elements marked dirty. *

* Please note that this method has effect only if write-behind * persistence mode is configured. If the persistence mode is * write-through calling this method has no practical effect, but an * operation is executed on all partitions wasting resources. */ void flush(); /** * Returns an immutable map of entries for the given keys. *

* Warning 1: *

* The returned map is NOT backed by the original map, so * changes to the original map are NOT reflected in the * returned map. *

* Warning 2: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code keys}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. * *

Interactions with the map store *

* If any keys are not found in memory, {@link MapLoader#loadAll} * is called with the missing keys. Exceptions thrown by * loadAll fail the operation and are propagated to the caller. * * @param keys keys to get (keys inside the collection cannot be null) * @return an immutable map of entries * @throws NullPointerException if any of the specified * keys are null or if any key or any value returned * from {@link MapLoader#loadAll} is {@code null}. */ Map getAll(@Nullable Set keys); /** * Loads all keys into the store. This is a batch load operation so * that an implementation can optimize multiple loads. * *

Interactions with the map store *

* Calls {@link MapLoader#loadAllKeys()} and with the loaded keys * calls {@link MapLoader#loadAll(java.util.Collection)} on each * partition. Exceptions thrown by loadAllKeys() or loadAll() are * not propagated to the caller. * * @param replaceExistingValues when {@code true}, existing values * in the Map will be replaced by those * loaded from the MapLoader * @since 3.3 */ void loadAll(boolean replaceExistingValues); /** * Loads the given keys. This is a batch load operation so that an implementation can * optimize multiple loads. * *

Interactions with the map store *

* Calls {@link MapLoader#loadAll(java.util.Collection)} on the * partitions storing the values with the keys. Exceptions thrown by * loadAll() are not propagated to the caller. * * @param keys keys of the values entries to load (keys inside the collection cannot be null) * @param replaceExistingValues when {@code true}, existing values in the Map will * be replaced by those loaded from the MapLoader * @since 3.3 */ void loadAll(@Nonnull Set keys, boolean replaceExistingValues); /** * Clears the map and deletes the items from the backing map store. *

* The MAP_CLEARED event is fired for any registered listeners. * See {@link com.hazelcast.core.EntryListener#mapCleared(MapEvent)}. *

* To clear the map without removing the items from the map store, * use {@link #evictAll}. * *

Interactions with the map store *

* Calls {@link MapStore#deleteAll(Collection)} on each partition * with the keys that the given partition stores. Exceptions thrown * by deleteAll() are not propagated to the caller. * * @see #evictAll */ @Override void clear(); /** * Asynchronously gets the given key. {@link CompletionStage} can be converted to a * {@link java.util.concurrent.CompletableFuture} to obtain the value in a blocking way: *

     *   CompletionStage future = map.getAsync(key);
     *   // do some other stuff, when ready get the result.
     *   Object value = future.toCompletableFuture().get();
     * 
* Additionally, the client can register further computation stages to be invoked upon * completion of the {@code CompletionStage} via any of {@link CompletionStage} * methods: *
{@code
     *   // assuming an IMap
     *   CompletionStage future = map.getAsync("a");
     *   future.thenAcceptAsync(response -> System.out.println(response));
     * }
*

* Warning: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. * *

Interactions with the map store *

* If value with {@code key} is not found in memory * {@link MapLoader#load(Object)} is invoked to load the value from * the map store backing the map. Exceptions thrown by {@code load} fail * the operation and are propagated to the caller. * * @param key the key of the map entry * @return CompletionStage from which the value of the key can be retrieved * @throws NullPointerException if the specified key is null * @see CompletionStage */ CompletionStage getAsync(@Nonnull K key); /** * Asynchronously puts the given key and value. {@link CompletionStage} can be converted to a * {@link java.util.concurrent.CompletableFuture} to obtain the value in a blocking way: *

{@code
     *   CompletionStage future = map.putAsync(key, value);
     *   // do some other stuff, when ready get the result.
     *   Object oldValue = future.toCompletableFuture().get();
     * }
     * Additionally, the client can register further computation stages to be invoked upon
     * completion of the {@code CompletionStage} via any of {@link CompletionStage}
     * methods:
     * 
{@code
     *   // assuming an IMap
     *   CompletionStage future = map.putAsync("a", "b");
     *   future.whenCompleteAsync((v, throwable) -> {
     *     if (throwable == null) {
     *       // do something with the old value returned by put operation
     *     } else {
     *       // handle failure
     *     }
     *   });
     * }
*

* Warning: *

* This method uses {@code hashCode} and {@code equals} of the binary form of * the {@code key}, not the actual implementations of {@code hashCode} and {@code equals} * defined in the {@code key}'s class. *

Note: * Use {@link #setAsync(Object, Object)} if you don't need the return value, it's slightly more efficient. * *

Interactions with the map store *

* If no value is found with {@code key} in memory, * {@link MapLoader#load(Object)} is invoked to load the value from * the map store backing the map. Exceptions thrown by load fail * the operation and are propagated to the caller. *

* If write-through persistence mode is configured, before the value * is stored in memory, {@link MapStore#store(Object, Object)} is * called to write the value into the map store. Exceptions thrown * by the store fail the operation and are propagated to the caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @param key the key of the map entry * @param value the new value of the map entry * @return CompletionStage from which the old value of the key can be retrieved * @throws NullPointerException if the specified key or value is null * @see CompletionStage * @see #setAsync(Object, Object) */ CompletionStage putAsync(@Nonnull K key, @Nonnull V value); /** * Asynchronously puts the given key and value into this map with a given TTL (time to live) value. *

* The entry will expire and get evicted after the TTL. If the TTL is 0, * then the entry lives forever. If the TTL is negative, then the TTL * from the map configuration will be used (default: forever). *

     *   CompletionStage future = map.putAsync(key, value, ttl, timeunit);
     *   // do some other stuff, when ready get the result
     *   Object oldValue = future.toCompletableFuture().get();
     * 
* {@code CompletionStage.toCompletableFuture().get()} will block until the actual map.put() completes. * If your application requires a timely response, * then you can use Future.get(timeout, timeunit). *
     *   try {
     *     CompletionStage future = map.putAsync(key, newValue, ttl, timeunit);
     *     Object oldValue = future.toCompletableFuture().get(40, TimeUnit.MILLISECOND);
     *   } catch (TimeoutException t) {
     *     // time wasn't enough
     *   }
     * 
* The client can register further computation stages to be invoked upon * completion of the {@code CompletionStage} via any of {@link CompletionStage} * methods: *
{@code
     *   // assuming an IMap
     *   CompletionStage future = map.putAsync("a", "b", 5, TimeUnit.MINUTES);
     *   future.thenAccept(oldVal -> System.out.println(oldVal));
     * }
*

* Warning 1: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. *

* Warning 2: *

* Time resolution for TTL is seconds. The given TTL value is rounded to the next closest second value. *

Note: * Use {@link #setAsync(Object, Object, long, TimeUnit)} if you don't need the return value, it's slightly * more efficient. * *

Interactions with the map store *

* If no value is found with {@code key} in memory, * {@link MapLoader#load(Object)} is invoked to load the value from * the map store backing the map. Exceptions thrown by load fail * the operation and are propagated to the caller. *

* If write-through persistence mode is configured, before the value * is stored in memory, {@link MapStore#store(Object, Object)} is * called to write the value into the map store. Exceptions thrown * by the store fail the operation and are propagated to the caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @param key the key of the map entry * @param value the new value of the map entry * @param ttl maximum time for this entry to stay in the map (0 means infinite, negative means map config default) * @param ttlUnit time unit for the TTL * @return CompletionStage from which the old value of the key can be retrieved * @throws NullPointerException if the specified key or value is null * @see CompletionStage * @see #setAsync(Object, Object, long, TimeUnit) */ CompletionStage putAsync(@Nonnull K key, @Nonnull V value, long ttl, @Nonnull TimeUnit ttlUnit); /** * Asynchronously puts the given key and value into this map with a given * TTL (time to live) value and max idle time value. *

* The entry will expire and get evicted after the TTL. If the TTL is 0, * then the entry lives forever. If the TTL is negative, then the TTL * from the map configuration will be used (default: forever). *

* The entry will expire and get evicted after the Max Idle time. If the * MaxIdle is 0, then the entry lives forever. If the MaxIdle is negative, * then the MaxIdle from the map configuration will be used (default: forever). * The time precision is limited by 1 second. The MaxIdle that less than 1 * second can lead to unexpected behaviour. *

     *   CompletionStage future = map.putAsync(key, value, ttl, timeunit);
     *   // do some other stuff, when ready get the result
     *   Object oldValue = future.toCompletableFuture().get();
     * 
* {@code CompletionStage.toCompletableFuture().get()} will block until the actual map.put() completes. * If your application requires a timely response, * then you can use {@code Future.get(timeout, timeunit)}. *
     *   try {
     *     CompletionStage future = map.putAsync(key, newValue, ttl, timeunit);
     *     Object oldValue = future.toCompletableFuture().get(40, TimeUnit.MILLISECOND);
     *   } catch (TimeoutException t) {
     *     // time wasn't enough
     *   }
     * 
* The client can register further computation stages to be invoked upon * completion of the {@code CompletionStage} via any of {@link CompletionStage} * methods: *
{@code
     *   // assuming an IMap
     *   CompletionStage future = map.putAsync("a", "b", 5, TimeUnit.MINUTES);
     *   future.thenAcceptAsync(oldValue -> System.out.println(oldValue));
     * }
*

* Warning 1: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. *

* Warning 2: *

* Time resolution for TTL is seconds. The given TTL value is rounded to the next closest second value. *

Note: * Use {@link #setAsync(Object, Object, long, TimeUnit)} if you don't need * the return value, it's slightly more efficient. * *

Interactions with the map store *

* If no value is found with {@code key} in memory, * {@link MapLoader#load(Object)} is invoked to load the value from * the map store backing the map. Exceptions thrown by load fail * the operation and are propagated to the caller. *

* If write-through persistence mode is configured, before the value * is stored in memory, {@link MapStore#store(Object, Object)} is * called to write the value into the map store. Exceptions thrown * by the store fail the operation and are propagated to the caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @param key the key of the map entry * @param value the new value of the map entry * @param ttl maximum time for this entry to stay in the map (0 means infinite, negative * means map config default) * @param ttlUnit time unit for the TTL * @param maxIdle maximum time for this entry to stay idle in the map. * (0 means infinite, negative means map config default) * @param maxIdleUnit time unit for the Max-Idle * @return CompletionStage from which the old value of the key can be retrieved * @throws NullPointerException if the specified key, value, ttlUnit or maxIdleUnit are {@code null} * @see CompletionStage * @see #setAsync(Object, Object, long, TimeUnit) */ CompletionStage putAsync(@Nonnull K key, @Nonnull V value, long ttl, @Nonnull TimeUnit ttlUnit, long maxIdle, @Nonnull TimeUnit maxIdleUnit); /** * Asynchronously copies all of the mappings from the specified map to this map. * This version doesn't support batching. *

{@code
     *     CompletionStage future = map.putAllAsync(map);
     *     // do some other stuff, when ready wait for completion
     *     future.toCompletableFuture.get();
     * }
* {@code CompletionStage.toCompletableFuture.get()} will block until the actual map.putAll(map) operation completes * You can also register further computation stages to be invoked upon * completion of the {@code CompletionStage} via any of {@link CompletionStage} * methods: *
{@code
     *      CompletionStage future = map.putAllAsync(map);
     *      future.thenRunAsync(() -> System.out.println("All the entries are added"));
     * }
* {@inheritDoc} *

* No atomicity guarantees are given. It could be that in case of failure * some of the key/value-pairs get written, while others are not. * *

Interactions with the map store *

* For each element not found in memory * {@link MapLoader#load(Object)} is invoked to load the value from * the map store backing the map, which may come at a significant * performance cost. Exceptions thrown by load fail the operation * and are propagated to the caller. The elements which were added * before the exception was thrown will remain in the map, the rest * will not be added. *

* If write-through persistence mode is configured, * {@link MapStore#store(Object, Object)} is invoked for each element * before the element is added in memory, which may come at a * significant performance cost. Exceptions thrown by store fail the * operation and are propagated to the caller. The elements which * were added before the exception was thrown will remain in the map, * the rest will not be added. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * @param map mappings to be stored in this map * @return CompletionStage on which client code can block waiting for the * operation to complete or register callbacks to be invoked * upon putAll operation completion * @see CompletionStage * * @since 4.1 */ CompletionStage putAllAsync(@Nonnull Map map); /** * Asynchronously puts the given key and value. * The entry lives forever. * Similar to the put operation except that set * doesn't return the old value, which is more efficient. *

{@code
     *   CompletionStage future = map.setAsync(key, value);
     *   // do some other stuff, when ready wait for completion
     *   future.toCompletableFuture().get();
     * }
* {@code CompletionStage.toCompletableFuture().get()} will block until the actual map.set() operation completes. * You can also register further computation stages to be invoked upon * completion of the {@code CompletionStage} via any of {@link CompletionStage} * methods: *
{@code
     *   CompletionStage future = map.setAsync("a", "b");
     *   future.thenRunAsync(() -> System.out.println("Value is now set to b."));
     * }
*

* Warning: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. * *

Interactions with the map store *

* If write-through persistence mode is configured, before the value * is stored in memory, {@link MapStore#store(Object, Object)} is * called to write the value into the map store. Exceptions thrown * by the store fail the operation and are propagated to the caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @param key the key of the map entry * @param value the new value of the map entry * @return CompletionStage on which client code can block waiting for the * operation to complete or register callbacks to be invoked * upon set operation completion * @throws NullPointerException if the specified key or value is null * @see CompletionStage */ CompletionStage setAsync(@Nonnull K key, @Nonnull V value); /** * Asynchronously puts an entry into this map with a given TTL (time to live) value, * without returning the old value (which is more efficient than {@code put()}). *

* The entry will expire and get evicted after the TTL. If the TTL is 0, * then the entry lives forever. If the TTL is negative, then the TTL * from the map configuration will be used (default: forever). *

     *   CompletionStage<Void> future = map.setAsync(key, value, ttl, timeunit);
     *   // do some other stuff, when you want to make sure set operation is complete:
     *   future.toCompletableFuture().get();
     * 
* {@code CompletionStage.toCompletableFuture().get()} will block until the actual map set operation completes. * If your application requires a timely response, * then you can use {@code CompletionStage.toCompletableFuture().get(long, TimeUnit)}. *
     *   try {
     *     CompletionStage<Void> future = map.setAsync(key, newValue, ttl, timeunit);
     *     future.toCompletableFuture().get(40, TimeUnit.MILLISECOND);
     *   } catch (TimeoutException t) {
     *     // time wasn't enough
     *   }
     * 
* You can also register further computation stages to be invoked upon * completion of the {@code CompletionStage} via any of {@link CompletionStage} * methods: *
     *   CompletionStage<Void> future = map.setAsync("a", "b", 5, TimeUnit.MINUTES);
     *   future.thenRunAsync(() -> System.out.println("done"));
     * 
*

* Warning 1: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. *

* Warning 2: *

* Time resolution for TTL is seconds. The given TTL value is rounded to the next closest second value. * *

Interactions with the map store *

* If write-through persistence mode is configured, before the value * is stored in memory, {@link MapStore#store(Object, Object)} is * called to write the value into the map store. Exceptions thrown * by the store fail the operation and are propagated to the caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @param key the key of the map entry * @param value the new value of the map entry * @param ttl maximum time for this entry to stay in the map (0 means infinite, negative * means map config default) * @param ttlUnit time unit for the TTL * @return CompletionStage on which client code can block waiting for the * operation to complete or register callbacks to be invoked * upon set operation completion * @throws NullPointerException if the specified key, value, ttlUnit * @see CompletionStage */ CompletionStage setAsync(@Nonnull K key, @Nonnull V value, long ttl, @Nonnull TimeUnit ttlUnit); /** * Asynchronously puts an entry into this map with a given TTL (time to live) * value and max idle time value without returning the old value * (which is more efficient than {@code put()}). *

* The entry will expire and get evicted after the TTL. If the TTL is 0, then * the entry lives forever. If the TTL is negative, then the TTL from the * map configuration will be used (default: forever). *

* The entry will expire and get evicted after the Max Idle time. If the * MaxIdle is 0, then the entry lives forever. If the MaxIdle is negative, * then the MaxIdle from the map configuration will be used (default: forever). * The time precision is limited by 1 second. The MaxIdle that less than 1 * second can lead to unexpected behaviour. *

     *   CompletionStage<Void> future = map.setAsync(key, value, ttl, timeunit);
     *   // do some other stuff, when you want to make sure set operation is complete:
     *   future.toCompletableFuture().get();
     * 
* {@code CompletionStage.toCompletableFuture().get()} will block until the actual map set operation * completes. If your application requires a timely response, * then you can use {@code CompletionStage.toCompletableFuture().get(long, TimeUnit)}. *
     *   try {
     *     CompletionStage<Void> future = map.setAsync(key, newValue, ttl, timeunit);
     *     future.toCompletableFuture().get(40, TimeUnit.MILLISECOND);
     *   } catch (TimeoutException t) {
     *     // time wasn't enough
     *   }
     * 
* You can also register further computation stages to be invoked upon * completion of the {@code CompletionStage} via any of {@link CompletionStage} * methods: *
     *   CompletionStage<Void> future = map.setAsync("a", "b", 5, TimeUnit.MINUTES);
     *   future.thenRunAsync(() -> System.out.println("Done"));
     * 
*

* Warning 1: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. *

* Warning 2: *

* Time resolution for TTL is seconds. The given TTL value is rounded to * the next closest second value. * *

Interactions with the map store *

* If write-through persistence mode is configured, before the value * is stored in memory, {@link MapStore#store(Object, Object)} is * called to write the value into the map store. Exceptions thrown * by the store fail the operation and are propagated to the caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @param key the key of the map entry * @param value the new value of the map entry * @param ttl maximum time for this entry to stay in the map (0 means infinite, negative * means map config default) * @param ttlUnit time unit for the TTL * @param maxIdle maximum time for this entry to stay idle in the map. * (0 means infinite, negative means map config default) * @param maxIdleUnit time unit for the Max-Idle * @return CompletionStage on which client code can block waiting for the * operation to complete or register callbacks to be invoked * upon set operation completion * @throws NullPointerException if the specified key, value, ttlUnit or maxIdleUnit are {@code null} * @see CompletionStage */ CompletionStage setAsync(@Nonnull K key, @Nonnull V value, long ttl, @Nonnull TimeUnit ttlUnit, long maxIdle, @Nonnull TimeUnit maxIdleUnit); /** * Asynchronously removes the given key, returning an {@link CompletionStage} * on which the caller can register further computation stages to be invoked * upon remove operation completion or block waiting for the operation to * complete using one of blocking ways to wait on * {@link CompletionStage#toCompletableFuture()}. *

* Warning: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. * *

Interactions with the map store *

* If write-through persistence mode is configured, before the value * is removed from the the memory, {@link MapStore#delete(Object)} * is called to remove the value from the map store. Exceptions * thrown by delete fail the operation and are propagated to the * caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @param key The key of the map entry to remove * @return {@link CompletionStage} from which the value removed from the map can be retrieved * @throws NullPointerException if the specified key is {@code null} * @see CompletionStage */ CompletionStage removeAsync(@Nonnull K key); /** * Tries to remove the entry with the given key from this map * within the specified timeout value. If the key is already locked by another * thread and/or member, then this operation will wait the timeout * amount for acquiring the lock. *

* Warning: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. * *

Interactions with the map store *

* If write-through persistence mode is configured, before the value * is removed from the the memory, {@link MapStore#delete(Object)} * is called to remove the value from the map store. Exceptions * thrown by delete fail the operation and are propagated to the * caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @param key key of the entry * @param timeout maximum time to wait for acquiring the lock for the key * @param timeunit time unit for the timeout * @return {@code true} if the remove is successful, {@code false} otherwise * @throws NullPointerException if the specified key is {@code null} */ boolean tryRemove(@Nonnull K key, long timeout, @Nonnull TimeUnit timeunit); /** * Tries to put the given key and value into this map within a specified * timeout value. If this method returns false, it means that * the caller thread could not acquire the lock for the key within the * timeout duration, thus the put operation is not successful. *

* Warning: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. * *

Interactions with the map store *

* If no value is found with {@code key} in memory, * {@link MapLoader#load(Object)} is invoked to load the value from * the map store backing the map. Exceptions thrown by load fail * the operation and are propagated to the caller. *

* If write-through persistence mode is configured, before the value * is stored in memory, {@link MapStore#store(Object, Object)} is * called to write the value into the map store. Exceptions thrown * by the store fail the operation and are propagated to the caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @param key key of the entry * @param value value of the entry * @param timeout maximum time to wait * @param timeunit time unit for the timeout * @return {@code true} if the put is successful, {@code false} otherwise * @throws NullPointerException if the specified key or value is {@code null} */ boolean tryPut(@Nonnull K key, @Nonnull V value, long timeout, @Nonnull TimeUnit timeunit); /** * Puts an entry into this map with a given TTL (time to live) value. *

* The entry will expire and get evicted after the TTL. If the TTL is 0, * then the entry lives forever. If the TTL is negative, then the TTL * from the map configuration will be used (default: forever). *

* Warning 1: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. *

* Warning 2: *

* This method returns a clone of the previous value, not the original * (identically equal) value previously put into the map. *

* Warning 3: *

* Time resolution for TTL is seconds. The given TTL value is rounded to the * next closest second value. *

Note: * Use {@link #set(Object, Object, long, TimeUnit)} if you don't need the * return value, it's slightly more efficient. * *

Interactions with the map store *

* If no value is found with {@code key} in memory, * {@link MapLoader#load(Object)} is invoked to load the value from * the map store backing the map. Exceptions thrown by load fail * the operation and are propagated to the caller. *

* If write-through persistence mode is configured, before the value * is stored in memory, {@link MapStore#store(Object, Object)} is * called to write the value into the map store. Exceptions thrown * by the store fail the operation and are propagated to the caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @param key key of the entry * @param value value of the entry * @param ttl maximum time for this entry to stay in the map (0 means infinite, negative * means map config default) * @param ttlUnit time unit for the TTL * @return old value of the entry * @throws NullPointerException if the specified key or value is {@code null} */ V put(@Nonnull K key, @Nonnull V value, long ttl, @Nonnull TimeUnit ttlUnit); /** * Puts an entry into this map with a given TTL (time to live) value and * max idle time value. *

* The entry will expire and get evicted after the TTL. If the TTL is 0, * then the entry lives forever. If the TTL is negative, then the TTL * from the map configuration will be used (default: forever). *

* The entry will expire and get evicted after the Max Idle time. If the * MaxIdle is 0, then the entry lives forever. If the MaxIdle is negative, * then the MaxIdle from the map configuration will be used (default: forever). * The time precision is limited by 1 second. A MaxIdle which is less than * 1 second can lead to unexpected behaviour. *

* Warning 1: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. *

* Warning 2: *

* This method returns a clone of the previous value, not the original (identically equal) value * previously put into the map. *

* Warning 3: *

* Time resolution for TTL is seconds. The given TTL value is rounded to the next closest second value. *

Note: * Use {@link #set(Object, Object, long, TimeUnit)} if you don't need the * return value, it's slightly more efficient. * *

Interactions with the map store *

* If no value is found with {@code key} in memory, * {@link MapLoader#load(Object)} is invoked to load the value from * the map store backing the map. Exceptions thrown by load fail * the operation and are propagated to the caller. *

* If write-through persistence mode is configured, before the value * is stored in memory, {@link MapStore#store(Object, Object)} is * called to write the value into the map store. Exceptions thrown * by the store fail the operation and are propagated to the caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @param key key of the entry * @param value value of the entry * @param ttl maximum time for this entry to stay in the map (0 means infinite, negative * means map config default) * @param ttlUnit time unit for the TTL * @param maxIdle maximum time for this entry to stay idle in the map. * (0 means infinite, negative means map config default) * @param maxIdleUnit time unit for the Max-Idle * @return old value of the entry * @throws NullPointerException if the specified key, value, ttlUnit or maxIdleUnit are {@code null} */ V put(@Nonnull K key, @Nonnull V value, long ttl, @Nonnull TimeUnit ttlUnit, long maxIdle, @Nonnull TimeUnit maxIdleUnit); /** * Same as {@link #put(Object, Object, long, TimeUnit)} * except that the map store, if defined, will not be called to * load/store/persist the entry. *

* The entry will expire and get evicted after the TTL. If the TTL is 0, * then the entry lives forever. If the TTL is negative, then the TTL * from the map configuration will be used (default: forever). *

* Warning 1: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. *

* Warning 2: *

* Time resolution for TTL is seconds. The given TTL value is rounded to * next closest second value. * * @param key key of the entry * @param value value of the entry * @param ttl maximum time for this entry to stay in the map (0 means infinite, negative * means map config default) * @param ttlUnit time unit for the TTL * @throws NullPointerException if the specified key or value is {@code null} */ void putTransient(@Nonnull K key, @Nonnull V value, long ttl, @Nonnull TimeUnit ttlUnit); /** * Same as {@link #put(Object, Object, long, TimeUnit)} except that the map * store, if defined, will not be called to load/store/persist the entry. *

* The entry will expire and get evicted after the TTL. If the TTL is 0, * then the entry lives forever. If the TTL is negative, then the TTL * from the map configuration will be used (default: forever). *

* The entry will expire and get evicted after the Max Idle time. If the * MaxIdle is 0, then the entry lives forever. If the MaxIdle is negative, * then the MaxIdle from the map configuration will be used (default: forever). * The time precision is limited by 1 second. The MaxIdle that less than 1 * second can lead to unexpected behaviour. *

* Warning 1: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. *

* Warning 2: *

* Time resolution for TTL is seconds. The given TTL value is rounded to * next closest second value. * * @param key key of the entry * @param value value of the entry * @param ttl maximum time for this entry to stay in the map (0 means infinite, negative * means map config default) * @param ttlUnit time unit for the TTL * @param maxIdle maximum time for this entry to stay idle in the map. * (0 means infinite, negative means map config default) * @param maxIdleUnit time unit for the Max-Idle * @throws NullPointerException if the specified {@code key}, {@code value}, {@code ttlUnit} or * {@code maxIdleUnit} are {@code null} */ void putTransient(@Nonnull K key, @Nonnull V value, long ttl, @Nonnull TimeUnit ttlUnit, long maxIdle, @Nonnull TimeUnit maxIdleUnit); /** * {@inheritDoc} *

* Note: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. *

* Also, this method returns a clone of the previous value, not the original * (identically equal) value previously put into the map. * *

Interactions with the map store *

* If no value is found with {@code key} in memory, * {@link MapLoader#load(Object)} is invoked to load the value from * the map store backing the map. Exceptions thrown by load fail * the operation and are propagated to the caller. *

* If write-through persistence mode is configured, before the value * is stored in memory, {@link MapStore#store(Object, Object)} is * called to write the value into the map store. Exceptions thrown * by the store fail the operation and are propagated to the caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @return a clone of the previous value * @throws NullPointerException if the specified {@code key} or {@code value} * is {@code null} */ V putIfAbsent(@Nonnull K key, @Nonnull V value); /** * Puts an entry into this map with a given TTL (time to live) value, * if the specified key is not already associated with a value. *

* The entry will expire and get evicted after the TTL. If the TTL is 0, * then the entry lives forever. If the TTL is negative, then the TTL * from the map configuration will be used (default: forever). *

* Warning 1: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. *

* Warning 2: *

* This method returns a clone of the previous value, not the original * (identically equal) value previously put into the map. *

* Warning 3: *

* Time resolution for TTL is seconds. The given TTL value is rounded to * the next closest second value. * *

Interactions with the map store *

* If no value is found with {@code key} in memory, * {@link MapLoader#load(Object)} is invoked to load the value from * the map store backing the map. Exceptions thrown by load fail * the operation and are propagated to the caller. *

* If write-through persistence mode is configured, before the value * is stored in memory, {@link MapStore#store(Object, Object)} is * called to write the value into the map store. Exceptions thrown * by the store fail the operation and are propagated to the caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @param key key of the entry * @param value value of the entry * @param ttl maximum time for this entry to stay in the map (0 means infinite, negative * means map config default) * @param ttlUnit time unit for the TTL * @return old value of the entry * @throws NullPointerException if the specified {@code key} or {@code value} * is {@code null} */ V putIfAbsent(@Nonnull K key, @Nonnull V value, long ttl, @Nonnull TimeUnit ttlUnit); /** * Puts an entry into this map with a given TTL (time to live) value and * max idle time value. * if the specified key is not already associated with a value. *

* The entry will expire and get evicted after the TTL. If the TTL is 0, * then the entry lives forever. If the TTL is negative, then the TTL * from the map configuration will be used (default: forever). *

* The entry will expire and get evicted after the Max Idle time. If the * MaxIdle is 0, then the entry lives forever. If the MaxIdle is negative, * then the MaxIdle from the map configuration will be used (default: forever). * The time precision is limited by 1 second. The MaxIdle that less than * 1 second can lead to unexpected behaviour. *

* Warning 1: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. *

* Warning 2: *

* This method returns a clone of the previous value, not the original * (identically equal) value previously put into the map. *

* Warning 3: *

* Time resolution for TTL is seconds. The given TTL value is rounded to the * next closest second value. * *

Interactions with the map store *

* If no value is found with {@code key} in memory, * {@link MapLoader#load(Object)} is invoked to load the value from * the map store backing the map. Exceptions thrown by load fail * the operation and are propagated to the caller. *

* If write-through persistence mode is configured, before the value * is stored in memory, {@link MapStore#store(Object, Object)} is * called to write the value into the map store. Exceptions thrown * by the store fail the operation and are propagated to the caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @param key key of the entry * @param value value of the entry * @param ttl maximum time for this entry to stay in the map (0 means infinite, negative * means map config default) * @param ttlUnit time unit for the TTL * @param maxIdle maximum time for this entry to stay idle in the map. * (0 means infinite, negative means map config default) * @param maxIdleUnit time unit for the Max-Idle * @return old value of the entry * @throws NullPointerException if the specified {@code key}, {@code value}, {@code ttlUnit} or * {@code maxIdleUnit} are {@code null} */ V putIfAbsent(@Nonnull K key, @Nonnull V value, long ttl, @Nonnull TimeUnit ttlUnit, long maxIdle, @Nonnull TimeUnit maxIdleUnit); /** * {@inheritDoc} *

* Warning 1: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. *

* Warning 2: *

* This method may return {@code false} even if the operation succeeds.
* Background: If the partition owner for given key goes down after successful * value replace, but before the executing node retrieved the invocation * result response, then the operation is retried. The invocation retry fails * because the value is already updated and the result of such replace call * returns {@code false}. Hazelcast doesn't guarantee exactly once invocation. * *

Interactions with the map store *

* If value with {@code key} is not found in memory, * {@link MapLoader#load(Object)} is invoked to load the value from the map * store backing the map. *

* If write-through persistence mode is configured, before the value is * stored in memory, {@link MapStore#store(Object, Object)} is called to * write the value into the map store. Exceptions thrown by the store fail * the operation and are propagated to the caller. *

* If write-behind persistence mode is configured with write-coalescing * turned off, {@link com.hazelcast.map.ReachedMaxSizeException} may be * thrown if the write-behind queue has reached its per-node maximum capacity. * * @throws NullPointerException if any of the specified parameters are {@code null} */ boolean replace(@Nonnull K key, @Nonnull V oldValue, @Nonnull V newValue); /** * {@inheritDoc} *

* Warning 1: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. *

* Warning 2: *

* This method returns a clone of the previous value, not the original (identically equal) value * previously put into the map. * *

Interactions with the map store *

* If value with {@code key} is not found in memory, * {@link MapLoader#load(Object)} is invoked to load the value from * the map store backing the map. *

* If write-through persistence mode is configured, before the value * is stored in memory, {@link MapStore#store(Object, Object)} is * called to write the value into the map store. Exceptions thrown * by the store fail the operation and are propagated to the caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @throws NullPointerException if the specified key or value is {@code null} */ V replace(@Nonnull K key, @Nonnull V value); /** * Puts an entry into this map without returning the old value * (which is more efficient than {@code put()}). *

* Warning 1: *

* This method breaks the contract of EntryListener. * When an entry is updated by set(), it fires an EntryEvent with a null oldValue. *

* Warning 2: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. * *

Interactions with the map store *

* If write-through persistence mode is configured, before the value * is stored in memory, {@link MapStore#store(Object, Object)} is * called to write the value into the map store. Exceptions thrown * by the store fail the operation and are propagated to the caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @param key key of the entry * @param value value of the entry * @throws NullPointerException if the specified key or value is {@code null} */ void set(@Nonnull K key, @Nonnull V value); /** * Puts an entry into this map with a given TTL (time to live) value, * without returning the old value (which is more efficient than {@code put()}). *

* The entry will expire and get evicted after the TTL. If the TTL is 0, * then the entry lives forever. If the TTL is negative, then the TTL * from the map configuration will be used (default: forever). *

* Warning 1: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. *

* Warning 2: *

* Time resolution for TTL is seconds. The given TTL value is rounded to the * next closest second value. * *

Interactions with the map store *

* If write-through persistence mode is configured, before the value * is stored in memory, {@link MapStore#store(Object, Object)} is * called to write the value into the map store. Exceptions thrown * by the store fail the operation and are propagated to the caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @param key key of the entry * @param value value of the entry * @param ttl maximum time for this entry to stay in the map (0 means infinite, negative * means map config default) * @param ttlUnit time unit for the TTL * @throws NullPointerException if the specified key or value is {@code null} */ void set(@Nonnull K key, @Nonnull V value, long ttl, @Nonnull TimeUnit ttlUnit); /** * Puts an entry into this map with a given TTL (time to live) value and * max idle time value without returning the old value (which is more * efficient than {@code put()}). *

* The entry will expire and get evicted after the TTL. If the TTL is 0, * then the entry lives forever. If the TTL is negative, then the TTL * from the map configuration will be used (default: forever). *

* The entry will expire and get evicted after the Max Idle time. If the * MaxIdle is 0, then the entry lives forever. If the MaxIdle is negative, * then the MaxIdle from the map configuration will be used * (default: forever). The time precision is limited by 1 second. The MaxIdle * that less than 1 second can lead to unexpected behaviour. *

* Warning 1: *

* This method uses {@code hashCode} and {@code equals} of the binary form * of the {@code key}, not the actual implementations of {@code hashCode} * and {@code equals} defined in the {@code key}'s class. *

* Warning 2: *

* Time resolution for TTL is seconds. The given TTL value is rounded to * the next closest second value. * *

Interactions with the map store *

* If write-through persistence mode is configured, before the value * is stored in memory, {@link MapStore#store(Object, Object)} is * called to write the value into the map store. Exceptions thrown * by the store fail the operation and are propagated to the caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @param key key of the entry * @param value value of the entry * @param ttl maximum time for this entry to stay in the map (0 means infinite, negative * means map config default) * @param ttlUnit time unit for the TTL * @param maxIdle maximum time for this entry to stay idle in the map. * (0 means infinite, negative means map config default) * @param maxIdleUnit time unit for the Max-Idle * @throws NullPointerException if the specified key, value, ttlUnit or maxIdleUnit are {@code null} */ void set(@Nonnull K key, @Nonnull V value, long ttl, @Nonnull TimeUnit ttlUnit, long maxIdle, @Nonnull TimeUnit maxIdleUnit); /** * Copies all of the mappings from the specified map to this map without loading * non-existing elements from map store (which is more efficient than {@code putAll()}). *

* This method breaks the contract of EntryListener. * EntryEvent of all the updated entries will have null oldValue even if they exist previously. *

* No atomicity guarantees are given. It could be that in case of failure * some of the key/value-pairs get written, while others are not. * *

Interactions with the map store *

* If write-through persistence mode is configured, * {@link MapStore#store(Object, Object)} is invoked for each element * before the element is added in memory, which may come at a * significant performance cost. Exceptions thrown by store fail the * operation and are propagated to the caller. The elements which * were added before the exception was thrown will remain in the map, * the rest will not be added. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @since 4.1 */ void setAll(@Nonnull Map map); /** * Asynchronously copies all of the mappings from the specified map to this map * without loading non-existing elements from map store. This version doesn't * support batching. *

{@code
     *     CompletionStage future = map.setAllAsync(map);
     *     // do some other stuff, when ready wait for completion
     *     future.toCompletableFuture.get();
     * }
* {@code CompletionStage.toCompletableFuture.get()} will block until the actual map.setAll(map) operation completes * You can also register further computation stages to be invoked upon * completion of the {@code CompletionStage} via any of {@link CompletionStage} * methods: *
{@code
     *      CompletionStage future = map.setAllAsync(map);
     *      future.thenRunAsync(() -> System.out.println("All the entries are set"));
     * }
*

* This method breaks the contract of EntryListener. * EntryEvent of all the updated entries will have null oldValue even if they exist previously. *

* No atomicity guarantees are given. It could be that in case of failure * some of the key/value-pairs get written, while others are not. * *

Interactions with the map store *

* If write-through persistence mode is configured, * {@link MapStore#store(Object, Object)} is invoked for each element * before the element is added in memory, which may come at a * significant performance cost. Exceptions thrown by store fail the * operation and are propagated to the caller. The elements which * were added before the exception was thrown will remain in the map, * the rest will not be added. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * @param map mappings to be stored in this map * @return CompletionStage on which client code can block waiting for the * operation to complete or register callbacks to be invoked * upon setAll operation completion * @see CompletionStage * * @since 4.1 */ CompletionStage setAllAsync(@Nonnull Map map); /** * Acquires the lock for the specified key. *

* If the lock is not available, then the current thread becomes disabled * for thread scheduling purposes and lies dormant until the lock has been * acquired. *

* You get a lock whether the value is present in the map or not. Other * threads (possibly on other systems) would block on their invoke of * {@code lock()} until the non-existent key is unlocked. If the lock * holder introduces the key to the map, the {@code put()} operation * is not blocked. If a thread not holding a lock on the non-existent key * tries to introduce the key while a lock exists on the non-existent key, * the {@code put()} operation blocks until it is unlocked. *

* Scope of the lock is this map only. * Acquired lock is only for the key in this map. *

* Locks are re-entrant so if the key is locked N times then * it should be unlocked N times before another thread can acquire it. *

* There is no lock timeout on this method. Locks will be held infinitely. *

* Warning: *

* This method uses {@code hashCode} and {@code equals} of the binary form of * the {@code key}, not the actual implementations of {@code hashCode} and {@code equals} * defined in the {@code key}'s class. * * @param key key to lock * @throws NullPointerException if the specified key is {@code null} */ void lock(@Nonnull K key); /** * Acquires the lock for the specified key for the specified lease time. *

* After lease time, the lock will be released. *

* If the lock is not available, then * the current thread becomes disabled for thread scheduling * purposes and lies dormant until the lock has been acquired. *

* Scope of the lock is this map only. * Acquired lock is only for the key in this map. *

* Locks are re-entrant, so if the key is locked N times then * it should be unlocked N times before another thread can acquire it. *

* Warning: *

* This method uses {@code hashCode} and {@code equals} of the binary form of * the {@code key}, not the actual implementations of {@code hashCode} and {@code equals} * defined in the {@code key}'s class. * * @param key the key to lock * @param leaseTime time to wait before releasing the lock * @param timeUnit unit of time to specify lease time * @throws NullPointerException if the specified key is {@code null} * @throws IllegalArgumentException if the leaseTime is not positive */ void lock(@Nonnull K key, long leaseTime, @Nullable TimeUnit timeUnit); /** * Checks the lock for the specified key. *

* If the lock is acquired then returns true, else returns false. *

* Warning: *

* This method uses {@code hashCode} and {@code equals} of the binary form of * the {@code key}, not the actual implementations of {@code hashCode} and {@code equals} * defined in the {@code key}'s class. * * @param key the key that is checked for lock * @return {@code true} if lock is acquired, {@code false} otherwise * @throws NullPointerException if the specified key is {@code null} */ boolean isLocked(@Nonnull K key); /** * Tries to acquire the lock for the specified key. *

* If the lock is not available then the current thread * doesn't wait and returns false immediately. *

* Warning: *

* This method uses {@code hashCode} and {@code equals} of the binary form of * the {@code key}, not the actual implementations of {@code hashCode} and {@code equals} * defined in the {@code key}'s class. * * @param key the key to lock * @return {@code true} if lock is acquired, {@code false} otherwise * @throws NullPointerException if the specified key is {@code null} */ boolean tryLock(@Nonnull K key); /** * Tries to acquire the lock for the specified key. *

* If the lock is not available, then * the current thread becomes disabled for thread scheduling * purposes and lies dormant until one of two things happens: *

    *
  • the lock is acquired by the current thread, or *
  • the specified waiting time elapses. *
*

* Warning: *

* This method uses {@code hashCode} and {@code equals} of the binary form of * the {@code key}, not the actual implementations of {@code hashCode} and {@code equals} * defined in the {@code key}'s class. * * @param key key to lock in this map * @param time maximum time to wait for the lock * @param timeunit time unit of the {@code time} argument * @return {@code true} if the lock was acquired, {@code false} if the waiting time * elapsed before the lock was acquired * @throws NullPointerException if the specified key is {@code null} * @throws InterruptedException if interrupted while trying to acquire the lock */ boolean tryLock(@Nonnull K key, long time, @Nullable TimeUnit timeunit) throws InterruptedException; /** * Tries to acquire the lock for the specified key for the specified lease time. *

* After lease time, the lock will be released. *

* If the lock is not available, then * the current thread becomes disabled for thread scheduling * purposes and lies dormant until one of two things happens: *

    *
  • the lock is acquired by the current thread, or *
  • the specified waiting time elapses. *
*

* Warning: *

* This method uses {@code hashCode} and {@code equals} of the binary form of * the {@code key}, not the actual implementations of {@code hashCode} and {@code equals} * defined in the {@code key}'s class. * * @param key key to lock in this map * @param time maximum time to wait for the lock * @param timeunit time unit of the {@code time} argument * @param leaseTime time to wait before releasing the lock * @param leaseTimeunit unit of time to specify lease time * @return {@code true} if the lock was acquired, {@code false} if the waiting time * elapsed before the lock was acquired * @throws NullPointerException if the specified key is {@code null} * @throws InterruptedException if interrupted while trying to acquire the lock */ boolean tryLock(@Nonnull K key, long time, @Nullable TimeUnit timeunit, long leaseTime, @Nullable TimeUnit leaseTimeunit) throws InterruptedException; /** * Releases the lock for the specified key. It never blocks and * returns immediately. *

* If the current thread is the holder of this lock, then the hold * count is decremented. If the hold count is zero, then the lock * is released. If the current thread is not the holder of this * lock, then {@link IllegalMonitorStateException} is thrown. *

* Warning: *

* This method uses {@code hashCode} and {@code equals} of the binary form of * the {@code key}, not the actual implementations of {@code hashCode} and {@code equals} * defined in the {@code key}'s class. * * @param key the key to unlock * @throws NullPointerException if the specified key is {@code null} * @throws IllegalMonitorStateException if the current thread does not hold this lock */ void unlock(@Nonnull K key); /** * Releases the lock for the specified key regardless of the lock owner. * It always successfully unlocks the key, never blocks, * and returns immediately. *

* Warning: *

* This method uses {@code hashCode} and {@code equals} of the binary form of * the {@code key}, not the actual implementations of {@code hashCode} and {@code equals} * defined in the {@code key}'s class. * * @param key the key to unlock * @throws NullPointerException if the specified key is {@code null} */ void forceUnlock(@Nonnull K key); /** * Adds a {@link MapListener} for this map. To receive an event, you should * implement a corresponding {@link MapListener} sub-interface for that event. *

* Note that entries in distributed map are partitioned across * the cluster members; each member owns and manages the some portion of the * entries. Owned entries are called local entries. This * listener will be listening for the events of local entries. Let's say * your cluster has member1 and member2. On member2 you added a local listener and from * member1, you call {@code map.put(key2, value2)}. * If the key2 is owned by member2 then the local listener will be * notified for the add/update event. Also note that entries can migrate to * other nodes for load balancing and/or membership change. * * @param listener {@link MapListener} for this map * @return a UUID.randomUUID().toString() which is used as a key to remove the listener * @throws UnsupportedOperationException if this operation is not supported, for example on a Hazelcast client * @throws NullPointerException if the listener is {@code null} * @see #localKeySet() * @see MapListener */ UUID addLocalEntryListener(@Nonnull MapListener listener); /** * Adds a {@link MapListener} for this map. *

* To receive an event, you should implement a corresponding {@link MapListener} * sub-interface for that event. * The listener will get notified for map events filtered by the given predicate. * * @param listener {@link MapListener} for this map * @param predicate predicate for filtering entries * @param includeValue {@code true} if {@code EntryEvent} should contain the value * @return a UUID.randomUUID().toString() which is used as a key to remove the listener * @throws UnsupportedOperationException if this operation isn't supported, for example on a Hazelcast client * @throws NullPointerException if the {@code listener} or {@code predicate} is {@code null} * @see MapListener */ UUID addLocalEntryListener(@Nonnull MapListener listener, @Nonnull Predicate predicate, boolean includeValue); /** * Adds a local entry listener for this map. *

* The added listener will only be listening for the events * (add/remove/update/evict) of the locally owned entries. * The listener will get notified for map add/remove/update/evict events * filtered by the given predicate. * * @param listener {@link MapListener} for this map * @param predicate predicate for filtering entries * @param key key to listen for * @param includeValue {@code true} if {@code EntryEvent} should contain the value * @return a UUID.randomUUID().toString() which is used as a key to remove the listener * @throws NullPointerException if the listener is {@code null} * @throws NullPointerException if the predicate is {@code null} * @see MapListener */ UUID addLocalEntryListener(@Nonnull MapListener listener, @Nonnull Predicate predicate, @Nullable K key, boolean includeValue); /** * Adds an interceptor for this map. *

* Added interceptor will intercept operations and execute user defined methods. * They will cancel operations if the user defined method throws an exception. * * @param interceptor map interceptor * @return ID of registered interceptor */ String addInterceptor(@Nonnull MapInterceptor interceptor); /** * Removes the given interceptor for this map, * so it will not intercept operations anymore. * * @param id registration ID of the map interceptor * @return {@code true} if registration is removed, {@code false} otherwise */ boolean removeInterceptor(@Nonnull String id); /** * Adds a {@link MapListener} for this map. *

* To receive an event, you should implement a corresponding {@link MapListener} * sub-interface for that event. * * @param listener {@link MapListener} for this map * @param includeValue {@code true} if {@code EntryEvent} should contain the value * @return a UUID.randomUUID().toString() which is used as a key to remove the listener * @throws NullPointerException if the specified listener is {@code null} * @see MapListener */ UUID addEntryListener(@Nonnull MapListener listener, boolean includeValue); /** * Removes the specified entry listener. *

* Returns silently if there is no such listener added before. * * @param id ID of registered listener * @return true if registration is removed, false otherwise */ boolean removeEntryListener(@Nonnull UUID id); /** * Adds a MapPartitionLostListener. *

* The method returns a register ID. This ID is needed to remove the * {@link MapPartitionLostListener} using the * {@link #removePartitionLostListener(UUID)} method. *

* There is no check for duplicate registrations, so if you register the * listener twice, you will receive events twice. *

* Warning 1: *

* Please see {@link com.hazelcast.partition.PartitionLostListener} for weaknesses. *

* Warning 2: *

* Listeners registered from HazelcastClient may miss some of the map * partition lost events due to design limitations. * * @param listener the added MapPartitionLostListener * @return returns the registration ID for the MapPartitionLostListener * @throws java.lang.NullPointerException if listener is {@code null} * @see #removePartitionLostListener(UUID) * @see com.hazelcast.partition.PartitionLostListener */ UUID addPartitionLostListener(@Nonnull MapPartitionLostListener listener); /** * Removes the specified map partition lost listener. *

* Returns silently if there is no such listener was added before. * * @param id ID of registered listener * @return true if registration is removed, false otherwise * @throws NullPointerException if {@code id} is {@code null} */ boolean removePartitionLostListener(@Nonnull UUID id); /** * Adds a {@link MapListener} for this map. To receive an event, you should * implement a corresponding {@link MapListener} sub-interface for that event. *

* Warning: *

* This method uses {@code hashCode} and {@code equals} of the binary form of * the {@code key}, not the actual implementations of {@code hashCode} and {@code equals} * defined in the {@code key}'s class. * * @param listener {@link MapListener} for this map * @param key key to listen for * @param includeValue {@code true} if {@code EntryEvent} should contain the value * @return a UUID.randomUUID().toString() which is used as a key to remove the listener * @throws NullPointerException if the specified listener is {@code null} * @throws NullPointerException if the specified key is {@code null} * @see MapListener */ UUID addEntryListener(@Nonnull MapListener listener, @Nonnull K key, boolean includeValue); /** * Adds a {@link MapListener} for this map. *

* To receive an event, you should implement a corresponding {@link MapListener} * sub-interface for that event. * * @param listener the added continuous {@link MapListener} for this map * @param predicate predicate for filtering entries * @param includeValue {@code true} if {@code EntryEvent} should contain the value * @return a UUID.randomUUID().toString() which is used as a key to remove the listener * @throws NullPointerException if the specified {@code listener} or {@code predicate} * is {@code null} * @see MapListener */ UUID addEntryListener(@Nonnull MapListener listener, @Nonnull Predicate predicate, boolean includeValue); /** * Adds a {@link MapListener} for this map. *

* To receive an event, you should implement a corresponding {@link MapListener} sub-interface for that event. * * @param listener the continuous {@link MapListener} for this map * @param predicate predicate for filtering entries * @param key key to listen for * @param includeValue {@code true} if {@code EntryEvent} should contain the value * @return a UUID.randomUUID().toString() which is used as a key to remove the listener * @throws NullPointerException if the specified {@code listener} or {@code predicate} is {@code null} * @see MapListener */ UUID addEntryListener(@Nonnull MapListener listener, @Nonnull Predicate predicate, @Nullable K key, boolean includeValue); /** * Returns the {@code EntryView} for the specified key. *

* Warning 1: *

* This method returns a clone of original mapping, modifying the returned value does not change * the actual value in the map. One should put modified value back to make changes visible to all nodes. *

* Warning 2: *

* This method uses {@code hashCode} and {@code equals} of the binary form of * the {@code key}, not the actual implementations of {@code hashCode} and {@code equals} * defined in the {@code key}'s class. * * @param key the key of the entry * @return {@code EntryView} of the specified key * @throws NullPointerException if the specified key is {@code null} * @see EntryView */ EntryView getEntryView(@Nonnull K key); /** * Evicts the specified key from this map. *

* If a {@code MapStore} is defined for this map, then the entry is * not deleted from the underlying {@code MapStore}, evict only * removes the entry from the memory. Use {@link #delete(Object)} or * {@link #remove(Object)} if {@link MapStore#delete(Object)} needs * to be called. *

* Warning: *

* This method uses {@code hashCode} and {@code equals} of the * binary form of the {@code key}, not the actual implementations of * {@code hashCode} and {@code equals} defined in the {@code key}'s * class. * * @param key the specified key to evict from this map * @return {@code true} if the key is evicted, {@code false} otherwise * @throws NullPointerException if the specified key is {@code null} * @see #delete(Object) * @see #remove(Object) */ boolean evict(@Nonnull K key); /** * Evicts all keys from this map except the locked ones. *

* If a {@code MapStore} is defined for this map, deleteAll is * not called by this method. If you do want to * {@link MapStore#deleteAll(Collection)} to be called use the * {@link #clear()} method. *

* The EVICT_ALL event is fired for any registered listeners. * See {@link com.hazelcast.core.EntryListener#mapEvicted(MapEvent)} . * * @see #clear() * @since 3.3 */ void evictAll(); /** * Returns an immutable set clone of the keys contained in this map. *

* Warning: *

* The set is NOT backed by the map, * so changes to the map are NOT reflected in the set. *

* This method is always executed by a distributed query, * so it may throw a {@link QueryResultSizeExceededException} * if {@link ClusterProperty#QUERY_RESULT_SIZE_LIMIT} is configured. * * @return an immutable set clone of the keys contained in this map * @throws QueryResultSizeExceededException if query result size limit is exceeded * @see ClusterProperty#QUERY_RESULT_SIZE_LIMIT */ @Nonnull Set keySet(); /** * Returns an immutable collection clone of the values contained in this map. *

* Warning: *

* The collection is NOT backed by the map, * so changes to the map are NOT reflected in the collection. *

* This method is always executed by a distributed query, * so it may throw a {@link QueryResultSizeExceededException} * if {@link ClusterProperty#QUERY_RESULT_SIZE_LIMIT} is configured. * * @return an immutable collection clone of the values contained in this map * @throws QueryResultSizeExceededException if query result size limit is exceeded * @see ClusterProperty#QUERY_RESULT_SIZE_LIMIT */ @Nonnull Collection values(); /** * Returns an immutable {@link Set} clone of the mappings contained in this map. *

* Warning: *

* The set is NOT backed by the map, * so changes to the map are NOT reflected in the set. *

* This method is always executed by a distributed query, * so it may throw a {@link QueryResultSizeExceededException} * if {@link ClusterProperty#QUERY_RESULT_SIZE_LIMIT} is configured. * * @return an immutable set clone of the keys mappings in this map * @throws QueryResultSizeExceededException if query result size limit is exceeded * @see ClusterProperty#QUERY_RESULT_SIZE_LIMIT */ @Nonnull Set> entrySet(); /** * Queries the map based on the specified predicate and * returns an immutable {@link Set} clone of the keys of matching entries. *

* Specified predicate runs on all members in parallel. *

* Warning: *

* The set is NOT backed by the map, * so changes to the map are NOT reflected in the set. *

* This method is always executed by a distributed query, * so it may throw a {@link QueryResultSizeExceededException} * if {@link ClusterProperty#QUERY_RESULT_SIZE_LIMIT} is configured. * * @param predicate specified query criteria * @return result key set of the query * @throws QueryResultSizeExceededException if query result size limit is exceeded * @throws NullPointerException if the predicate is {@code null} * @see ClusterProperty#QUERY_RESULT_SIZE_LIMIT */ Set keySet(@Nonnull Predicate predicate); /** * Queries the map based on the specified predicate and returns an immutable set of the matching entries. *

* Specified predicate runs on all members in parallel. *

* Warning: *

* The set is NOT backed by the map, * so changes to the map are NOT reflected in the set. *

* This method is always executed by a distributed query, * so it may throw a {@link QueryResultSizeExceededException} * if {@link ClusterProperty#QUERY_RESULT_SIZE_LIMIT} is configured. * * @param predicate specified query criteria * @return result entry set of the query * @throws QueryResultSizeExceededException if query result size limit is exceeded * @throws NullPointerException if the predicate is {@code null} * @see ClusterProperty#QUERY_RESULT_SIZE_LIMIT */ Set> entrySet(@Nonnull Predicate predicate); /** * Queries the map based on the specified predicate and returns an immutable * collection of the values of matching entries. *

* Specified predicate runs on all members in parallel. *

* Warning: *

* The collection is NOT backed by the map, * so changes to the map are NOT reflected in the collection. *

* This method is always executed by a distributed query, * so it may throw a {@link QueryResultSizeExceededException} * if {@link ClusterProperty#QUERY_RESULT_SIZE_LIMIT} is configured. * * @param predicate specified query criteria * @return result value collection of the query * @throws QueryResultSizeExceededException if query result size limit is exceeded * @throws NullPointerException if the predicate is {@code null} * @see ClusterProperty#QUERY_RESULT_SIZE_LIMIT */ Collection values(@Nonnull Predicate predicate); /** * Returns the locally owned immutable set of keys. *

* Each key in this map is owned and managed by a specific * member in the cluster. *

* Note that ownership of these keys might change over time * so that key ownerships can be almost evenly distributed * in the cluster. *

* Warning: *

* The set is NOT backed by the map, * so changes to the map are NOT reflected in the set. *

* This method is always executed by a distributed query, * so it may throw a {@link QueryResultSizeExceededException} * if {@link ClusterProperty#QUERY_RESULT_SIZE_LIMIT} is configured. * * @return locally owned immutable set of keys * @throws QueryResultSizeExceededException if query result size limit is exceeded * @see ClusterProperty#QUERY_RESULT_SIZE_LIMIT */ Set localKeySet(); /** * Returns an immutable set of the keys of matching locally owned entries. *

* Each key in this map is owned and managed by a specific * member in the cluster. *

* Note that ownership of these keys might change over time * so that key ownerships can be almost evenly distributed * in the cluster. *

* Warning: *

* The set is NOT backed by the map, * so changes to the map are NOT reflected in the set. *

* This method is always executed by a distributed query, * so it may throw a {@link QueryResultSizeExceededException} * if {@link ClusterProperty#QUERY_RESULT_SIZE_LIMIT} is configured. * * @param predicate specified query criteria * @return an immutable set of the keys of matching locally owned entries * @throws QueryResultSizeExceededException if query result size limit is exceeded * @see ClusterProperty#QUERY_RESULT_SIZE_LIMIT */ Set localKeySet(@Nonnull Predicate predicate); /** * Convenient method to add an index to this map with the given type and attributes. * Attributes are indexed in ascending order. *

* * @param type Index type. * @param attributes Attributes to be indexed. * @see #addIndex(IndexConfig) */ default void addIndex(IndexType type, String... attributes) { IndexConfig config = IndexUtils.createIndexConfig(type, attributes); addIndex(config); } /** * Adds an index to this map for the specified entries so * that queries can run faster. *

* Let's say your map values are Employee objects. *

     *   public class Employee implements Serializable {
     *     private boolean active = false;
     *     private int age;
     *     private String name = null;
     *     // other fields
     *
     *     // getters setter
     *   }
     * 
* If you are querying your values mostly based on age and active then * you may consider indexing these fields. *
     *   IMap imap = Hazelcast.getMap("employees");
     *   imap.addIndex(new IndexConfig(IndexType.SORTED, "age"));  // Sorted index for range queries
     *   imap.addIndex(new IndexConfig(IndexType.HASH, "active")); // Hash index for equality predicates
     * 
* Index attribute should either have a getter method or be public. * You should also make sure to add the indexes before adding * entries to this map. *

* Time to Index *

* Indexing time is executed in parallel on each partition by operation threads. The Map * is not blocked during this operation. *

* The time taken in proportional to the size of the Map and the number Members. *

* Searches while indexes are being built *

* Until the index finishes being created, any searches for the attribute will use a full Map scan, * thus avoiding using a partially built index and returning incorrect results. * * @param indexConfig Index configuration. */ void addIndex(IndexConfig indexConfig); /** * Returns LocalMapStats for this map. *

* LocalMapStats are the statistics for the local portion of this * distributed map and contains information such as ownedEntryCount * backupEntryCount, lastUpdateTime, lockedEntryCount. *

* Since this stats are only for the local portion of this map, if you * need the cluster-wide MapStats then you need to get the LocalMapStats * from all members of the cluster and combine them. *

* It's guaranteed that the returned {@link LocalMapStats} instance contains * an up-to-date statistics. But over the time some parts of the returned * instance may become stale while others may be updated. To obtain a fresh * up-to-date instance invoke the method one more time. * * @return this map's local statistics */ LocalMapStats getLocalMapStats(); /** * Applies the user defined {@code EntryProcessor} to the entry mapped by the {@code key}. * Returns the object which is the result of the {@link EntryProcessor#process(Entry)} method. *

* The {@code EntryProcessor} may implement the {@link Offloadable} and {@link ReadOnly} interfaces. *

* If the EntryProcessor implements the {@link Offloadable} interface, the processing will be offloaded to the given * ExecutorService, allowing unblocking of the partition-thread, which means that other partition-operations * may proceed. The key will be locked for the time-span of the processing in order to not generate a write-conflict. * In this case the threading looks as follows: *

    *
  1. partition-thread (fetch & lock)
  2. *
  3. execution-thread (process)
  4. *
  5. partition-thread (set & unlock, or just unlock if no changes)
  6. *
* If the EntryProcessor implements the Offloadable and ReadOnly interfaces, the processing will be offloaded to the * given ExecutorService allowing unblocking the partition-thread. Since the EntryProcessor is not supposed to do * any changes to the Entry, the key will NOT be locked for the time-span of the processing. In this case the threading * looks as follows: *
    *
  1. partition-thread (fetch)
  2. *
  3. execution-thread (process)
  4. *
* In this case, the EntryProcessor.getBackupProcessor() has to return null; otherwise an IllegalArgumentException * exception is thrown. *

* If the EntryProcessor implements only ReadOnly without implementing Offloadable, the processing unit will not * be offloaded, however, the EntryProcessor will not wait for the lock to be acquired, since the EP will not * do any modifications. *

* Using offloading is useful if the EntryProcessor encompasses heavy logic that may stall the partition-thread. *

* If the EntryProcessor implements ReadOnly and modifies the entry it is processing, an UnsupportedOperationException * will be thrown. *

* Offloading will not be applied to backup partitions. It is possible to initialize the entry backup processor * with some input provided by the EntryProcessor in the EntryProcessor.getBackupProcessor() method. * The input allows providing context to the entry backup processor, for example the "delta", * so that the entry backup processor does not have to calculate the "delta" but it may just apply it. *

* See {@link #submitToKey(Object, EntryProcessor)} for an async version of this method. * *

Interactions with the map store *

* If value with {@code key} is not found in memory, * {@link MapLoader#load(Object)} is invoked to load the value from * the map store backing the map. *

* If the entryProcessor updates the entry and write-through * persistence mode is configured, before the value is stored * in memory, {@link MapStore#store(Object, Object)} is called to * write the value into the map store. *

* If the entryProcessor updates the entry's value to null value and * write-through persistence mode is configured, before the value is * removed from the memory, {@link MapStore#delete(Object)} is * called to delete the value from the map store. *

* Any exceptions thrown by the map store fail the operation and are * propagated to the caller. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @param the entry processor return type * @return result of {@link EntryProcessor#process(Entry)} * @throws NullPointerException if the specified key is {@code null} * @see Offloadable * @see ReadOnly */ R executeOnKey(@Nonnull K key, @Nonnull EntryProcessor entryProcessor); /** * Applies the user defined {@link EntryProcessor} to the entries mapped by the collection of keys. *

* The operation is not lock-aware. The {@code EntryProcessor} will process the entries no matter if the keys are * locked or not. For more details check Entry Processing section on {@link IMap} documentation. * *

Interactions with the map store *

* For each entry not found in memory {@link MapLoader#load(Object)} * is invoked to load the value from the map store backing the map. *

* If write-through persistence mode is configured, for each entry * updated by the entryProcessor, before the updated value is stored * in memory, {@link MapStore#store(Object, Object)} is called to * write the value into the map store. *

* If write-through persistence mode is configured, for each entry * updated to null value, before the value is removed from the * memory, {@link MapStore#delete(Object)} is called to delete the * value from the map store. *

* Any exceptions thrown by the map store fail the operation and are * propagated to the caller. If an exception happened, the operation might * already succeeded on some of the keys. *

* If write-behind persistence mode is * configured with write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. *

* Performance note *

Keep the state of {@code entryProcessor} * small, it will be serialized and one copy will be sent to each member. * Additionally, the {@linkplain EntryProcessor#getBackupProcessor() backup * processor} will also be serialized once for each affected partition and * sent to each backup. For example, in this usage the entire {@code * additions} map will be duplicated once for each member and once for each * partition and backup: *

{@code
     *   HashMap additions = ...;
     *   iMap.executeOnKeys(map.keySet(), entry -> {
     *             Integer updateBy = additions.get(entry.getKey());
     *             entry.setValue(entry.getValue() + updateBy);
     *             return null;
     *         });
     * }
* * @param keys The keys to execute the entry processor on. Can be empty, in * that case it's a local no-op * @param the entry processor return type * @return results of {@link EntryProcessor#process(Entry)} * @throws NullPointerException if there's null element in {@code keys} */ Map executeOnKeys(@Nonnull Set keys, @Nonnull EntryProcessor entryProcessor); /** * Async version of {@link #executeOnKeys}. * @param keys the keys to execute the entry processor on. Can be empty, in * that case it's a local no-op * @param entryProcessor the processor to process the keys * @param return type for entry processor * @return CompletionStage on which client code can block waiting for the * operation to complete or register callbacks to be invoked * upon set operation completion * @see CompletionStage */ CompletionStage> submitToKeys(@Nonnull Set keys, @Nonnull EntryProcessor entryProcessor); /** * Applies the user defined {@code EntryProcessor} to the entry mapped by the {@code key}. * Returns immediately with a {@link CompletionStage} representing that task. *

* EntryProcessor is not cancellable, so calling CompletionStage.cancel() method * won't cancel the operation of EntryProcessor. *

* The EntryProcessor may implement the Offloadable and ReadOnly interfaces. *

* If the EntryProcessor implements the Offloadable interface the processing will be offloaded to the given * ExecutorService allowing unblocking the partition-thread, which means that other partition-operations * may proceed. The key will be locked for the time-span of the processing in order to not generate a write-conflict. * In this case the threading looks as follows: *

    *
  1. partition-thread (fetch & lock)
  2. *
  3. execution-thread (process)
  4. *
  5. partition-thread (set & unlock, or just unlock if no changes)
  6. *
* If the EntryProcessor implements the Offloadable and ReadOnly interfaces the processing will be offloaded to the * given ExecutorService allowing unblocking the partition-thread. Since the EntryProcessor is not supposed to do * any changes to the Entry the key will NOT be locked for the time-span of the processing. In this case the threading * looks as follows: *
    *
  1. partition-thread (fetch & lock)
  2. *
  3. execution-thread (process)
  4. *
* In this case the EntryProcessor.getBackupProcessor() has to return null; otherwise an IllegalArgumentException * exception is thrown. *

* If the EntryProcessor implements only ReadOnly without implementing Offloadable the processing unit will not * be offloaded, however, the EntryProcessor will not wait for the lock to be acquired, since the EP will not * do any modifications. *

* If the EntryProcessor implements ReadOnly and modifies the entry it is processing a UnsupportedOperationException * will be thrown. *

* Using offloading is useful if the EntryProcessor encompasses heavy logic that may stall the partition-thread. *

* Offloading will not be applied to backup partitions. It is possible to initialize the entry backup processor * with some input provided by the EntryProcessor in the EntryProcessor.getBackupProcessor() method. * The input allows providing context to the entry backup processor - for example the "delta" * so that the entry backup processor does not have to calculate the "delta" but it may just apply it. *

* See {@link #executeOnKey(Object, EntryProcessor)} for sync version of this method. * *

Interactions with the map store *

* If value with {@code key} is not found in memory * {@link MapLoader#load(Object)} is invoked to load the value from * the map store backing the map. *

* If the entryProcessor updates the entry and write-through * persistence mode is configured, before the value is stored * in memory, {@link MapStore#store(Object, Object)} is called to * write the value into the map store. *

* If the entryProcessor updates the entry's value to null value and * write-through persistence mode is configured, before the value is * removed from the memory, {@link MapStore#delete(Object)} is * called to delete the value from the map store. *

* Any exception thrown by the map store fail the operation. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @param key key to be processed * @param entryProcessor processor to process the key * @param return type for entry processor * @return CompletionStage on which client code can block waiting for the * operation to complete or register callbacks to be invoked * upon set operation completion * @see Offloadable * @see ReadOnly * @see CompletionStage */ CompletionStage submitToKey(@Nonnull K key, @Nonnull EntryProcessor entryProcessor); /** * Applies the user defined {@link EntryProcessor} to the all entries in the map. * Returns the results mapped by each key in the map. *

* The operation is not lock-aware. The {@code EntryProcessor} will process the entries no matter if the keys are * locked or not. For more details check Entry Processing section on {@link IMap} documentation. * *

Interactions with the map store *

* For each entry not found in memory {@link MapLoader#load(Object)} * is invoked to load the value from the map store backing the map. *

* If write-through persistence mode is configured, for each entry * updated by the entryProcessor, before the updated value is stored * in memory, {@link MapStore#store(Object, Object)} is called to * write the value into the map store. *

* If write-through persistence mode is configured, for each entry * updated to null value, before the value is removed from the * memory, {@link MapStore#delete(Object)} is called to delete the * value from the map store. *

* Any exceptions thrown by the map store fail the operation and are * propagated to the caller. If an exception happened, the operation might * already succeeded on some of the keys. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @param entryProcessor processor to process the keys * @param return type for entry processor * @return results mapped by entry key */ Map executeOnEntries(@Nonnull EntryProcessor entryProcessor); /** * Applies the user defined {@link EntryProcessor} to the entries in the map which satisfy provided predicate. * Returns the results mapped by each key in the map. *

* The operation is not lock-aware. The {@code EntryProcessor} will process the entries no matter if the keys are * locked or not. For more details check Entry Processing section on {@link IMap} documentation. * *

Interactions with the map store *

* For each entry not found in memory {@link MapLoader#load(Object)} * is invoked to load the value from the map store backing the map. *

* If write-through persistence mode is configured, for each entry * updated by the entryProcessor, before the updated value is stored * in memory, {@link MapStore#store(Object, Object)} is called to * write the value into the map store. *

* If write-through persistence mode is configured, for each entry * updated to null value, before the value is removed from the * memory, {@link MapStore#delete(Object)} is called to delete the * value from the map store. *

* Any exceptions thrown by the map store fail the operation and are * propagated to the caller. If an exception happened, the operation might * already succeeded on some of the keys. *

* If write-behind persistence mode is configured with * write-coalescing turned off, * {@link com.hazelcast.map.ReachedMaxSizeException} may be thrown * if the write-behind queue has reached its per-node maximum * capacity. * * @param entryProcessor processor to process the keys * @param predicate predicate to filter the entries with * @param return type for entry processor * @return results mapped by entry key */ Map executeOnEntries(@Nonnull EntryProcessor entryProcessor, @Nonnull Predicate predicate); /** * Applies the aggregation logic on all map entries and returns the result *

* Fast-Aggregations are the successor of the Map-Reduce Aggregators. * They are equivalent to the Map-Reduce Aggregators in most of the use-cases, but instead of running on the Map-Reduce * engine they run on the Query infrastructure. Their performance is tens to hundreds times better due to the fact * that they run in parallel for each partition and are highly optimized for speed and low memory consumption. * * @param aggregator aggregator to aggregate the entries with * @param type of the result * @return the result of the given type * @since 3.8 */ R aggregate(@Nonnull Aggregator, R> aggregator); /** * Applies the aggregation logic on map entries filtered with the Predicated and returns the result *

* Fast-Aggregations are the successor of the Map-Reduce Aggregators. * They are equivalent to the Map-Reduce Aggregators in most of the use-cases, but instead of running on the Map-Reduce * engine they run on the Query infrastructure. Their performance is tens to hundreds times better due to the fact * that they run in parallel for each partition and are highly optimized for speed and low memory consumption. * * @param aggregator aggregator to aggregate the entries with * @param predicate predicate to filter the entries with * @param type of the result * @return the result of the given type * @since 3.8 */ R aggregate(@Nonnull Aggregator, R> aggregator, @Nonnull Predicate predicate); /** * Applies the projection logic on all map entries and returns the result * * @param projection projection to transform the entries with (may return null) * @param type of the result * @return the result of the given type * @since 3.8 */ Collection project(@Nonnull Projection, R> projection); /** * Applies the projection logic on map entries filtered with the Predicated and returns the result * * @param projection projection to transform the entries with (may return null) * @param predicate predicate to filter the entries with * @param type of the result * @return the result of the given type * @since 3.8 */ Collection project(@Nonnull Projection, R> projection, @Nonnull Predicate predicate); /** * Returns corresponding {@code QueryCache} instance for the supplied {@code name} or null. *

* If there is a previously created {@link QueryCache} with the supplied {@code name} or if a declarative * configuration exists for the supplied {@code name} this method returns or creates the instance respectively, * otherwise returns null. * * @param name the name of {@code QueryCache} * @return the {@code QueryCache} instance or null if there is no corresponding {@code QueryCacheConfig} * @throws NullPointerException if the specified {@code name} is {@code null} * @see QueryCache * @since 3.8 */ QueryCache getQueryCache(@Nonnull String name); /** * Creates an always up to date snapshot of this {@code IMap} according to the supplied parameters. *

* If there is a previously created {@link QueryCache} with the supplied {@code name}, this method returns that * {@link QueryCache} and ignores {@code predicate} and {@code includeValue} parameters. Otherwise it creates and returns * a new {@link QueryCache} instance. *

* Also note that if there exists a {@link com.hazelcast.config.QueryCacheConfig QueryCacheConfig} for the supplied * {@code name}, {@code predicate} and {@code includeValue} parameters will overwrite corresponding ones * in {@link com.hazelcast.config.QueryCacheConfig}. * * @param name the name of {@code QueryCache} * @param predicate the predicate for filtering entries * @param includeValue {@code true} if this {@code QueryCache} is allowed to cache values of entries, otherwise {@code false} * @return the {@code QueryCache} instance with the supplied {@code name} * @throws NullPointerException if the specified {@code name} or {@code predicate} is {@code null} * @see QueryCache * @since 3.8 */ QueryCache getQueryCache(@Nonnull String name, @Nonnull Predicate predicate, boolean includeValue); /** * Creates an always up to date snapshot of this {@code IMap} according to * the supplied parameters. *

* If there is a previously created {@link QueryCache} with the supplied * {@code name}, this method returns that {@link QueryCache} and ignores * {@code listener}, {@code predicate} and {@code includeValue} parameters. * Otherwise it creates and returns a new {@link QueryCache} instance. *

* Also note that if there exists a * {@link com.hazelcast.config.QueryCacheConfig QueryCacheConfig} for the * supplied {@code name}, {@code listener},{@code predicate} and * {@code includeValue} parameters will overwrite corresponding ones in * {@link com.hazelcast.config.QueryCacheConfig}. * * @param name the name of {@code QueryCache} * @param listener the {@code MapListener} which will be used to listen this {@code QueryCache} * @param predicate the predicate for filtering entries * @param includeValue {@code true} if this {@code QueryCache} is allowed to cache values of * entries, otherwise {@code false} * @return the {@code QueryCache} instance with the supplied {@code name} * @throws NullPointerException if the specified {@code name} or {@code listener} or {@code predicate} * is {@code null} * @see QueryCache * @since 3.8 */ QueryCache getQueryCache(@Nonnull String name, @Nonnull MapListener listener, @Nonnull Predicate predicate, boolean includeValue); /** * Updates the TTL (time to live) value of the entry specified by {@code key} * with a new TTL value. * New TTL value is valid starting from the time this operation is invoked, * not since the time the entry was created. * If the entry does not exist or is already expired, this call has no effect. *

* The entry will expire and get evicted after the TTL. If the TTL is 0, * then the entry lives forever. If the TTL is negative, then the TTL * from the map configuration will be used (default: forever). *

* If there is no entry with key {@code key} or is already expired, this * call makes no changes to entries stored in this map. * * Warning: *

* Time resolution for TTL is seconds. The given TTL value is rounded to * the next closest second value. * * @param key the key of the map entry * @param ttl maximum time for this entry to stay in the map (0 means infinite, negative * means map config default) * @param timeunit time unit for the TTL * @return {@code true} if the entry exists and its ttl value is changed, {@code false} otherwise * @throws NullPointerException if the specified {@code key} or {@code timeunit} is {@code null}. * @since 3.11 */ boolean setTtl(@Nonnull K key, long ttl, @Nonnull TimeUnit timeunit); /** * {@inheritDoc} * *

*

* If the supplied {@code remappingFunction} is a lambda, anonymous class or an inner class, * it would be executed locally. Same would happen if it is not serializable. * This may result in multiple round-trips between hazelcast nodes, and possibly a livelock. *

*

* Otherwise (i.e. if it is a top-level class or a member class, and it is serializable), the function may be sent * to the server which owns the key. This results in a single remote call. Also, the function would have exclusive * access to the map entry during its execution. * Note that in this case, the function class must be deployed on all the servers (either physically * or via user-code-deployment). *

*

* When this method is invoked using a hazelcast-client instance, the {@code remappingFunction} is always executed locally *

* * @since 4.1 */ V computeIfPresent(@Nonnull K key, @Nonnull BiFunction remappingFunction); /** * {@inheritDoc} * *

*

* If the supplied {@code mappingFunction} is a lambda, anonymous class or an inner class, * it would be executed locally. Same would happen if it is not serializable. * This may result in two round-trips between hazelcast nodes. *

*

* Otherwise (i.e. if it is a top-level class or a member class, and it is serializable), the function may be sent * to the server which owns the key. This results in a single remote call. Also, the function would have exclusive * access to the map entry during its execution. * Note that in this case, the function class must be deployed on all the servers (either physically * or via user-code-deployment). *

*

* When this method is invoked using a hazelcast-client instance, the {@code mappingFunction} is always executed locally *

* * @since 4.1 */ V computeIfAbsent(@Nonnull K key, @Nonnull Function mappingFunction); /** * {@inheritDoc} * *

*

* If the supplied {@code action} is a lambda, anonymous class or an inner class, * it would be executed locally. Same would happen if it is not serializable. * This may result in multiple round-trips between hazelcast nodes, as all map entries * will need to be pulled into the local node *

*

* Otherwise (i.e. if it is a top-level class or a member class, and it is serializable), the function may be sent * to the servers which own the partitions/keys. This results in a much less number of remote calls. * Note that in this case, side effects of the {@code action} may not be visible to the local JVM. * If users intend to install the changed value in the map entry, the {@link IMap#executeOnEntries(EntryProcessor)} * method can be used instead *

*

* When this method is invoked using a hazelcast-client instance, the {@code action} is always executed locally *

*/ default void forEach(@Nonnull BiConsumer action) { ConcurrentMap.super.forEach(action); } /** * {@inheritDoc} * *

*

* If the supplied {@code remappingFunction} is a lambda, anonymous class or an inner class, * it would be executed locally. Same would happen if it is not serializable. * This may result in multiple round-trips between hazelcast nodes, and possibly a livelock. *

*

* Otherwise (i.e. if it is a top-level class or a member class, and it is serializable), the function may be sent * to the server which owns the key. This results in a single remote call. Also, the function would have exclusive * access to the map entry during its execution. * Note that in this case, the function class must be deployed on all the servers (either physically * or via user-code-deployment). *

*

* When this method is invoked using a hazelcast-client instance, the {@code remappingFunction} is always executed locally *

* * @since 4.1 */ V compute(@Nonnull K key, @Nonnull BiFunction remappingFunction); /** * {@inheritDoc} * *

*

* If the supplied {@code remappingFunction} is a lambda, anonymous class or an inner class, * it would be executed locally. Same would happen if it is not serializable. * This may result in multiple round-trips between hazelcast nodes, and possibly a livelock. *

*

* Otherwise (i.e. if it is a top-level class or a member class, and it is serializable), the function may be sent * to the server which owns the key. This results in a single remote call. Also, the function would have exclusive * access to the map entry during its execution. * Note that in this case, the function class must be deployed on all the servers (either physically * or via user-code-deployment). *

*

* When this method is invoked using a hazelcast-client instance, the {@code remappingFunction} is always executed locally *

* * @since 4.1 */ @Override V merge(@Nonnull K key, @Nonnull V value, @Nonnull BiFunction remappingFunction); /** * {@inheritDoc} * *

*

* If the supplied {@code function} is a lambda, anonymous class or an inner class, * it would be executed locally. Same would happen if it is not serializable. * This may result in multiple round-trips between hazelcast nodes, and possibly a livelock. *

*

* Otherwise (i.e. if it is a top-level class or a member class, and it is serializable), the function may be sent * to the server which owns the key. This results in a single remote call. Also, the function would have exclusive * access to the map entry during its execution. * Note that in this case, the function class must be deployed on all the servers (either physically * or via user-code-deployment). *

*

* When this method is invoked using a hazelcast-client instance, the {@code function} is always executed locally *

* * @since 4.1 */ default void replaceAll(@Nonnull BiFunction function) { ConcurrentMap.super.replaceAll(function); } }