Hazelcast 4.0 free.Migrating to IMDG 4.0
Hazelcast 4.0 free
Fixed an issue where InPredicate was not invoking value comparison when the read attribute is null. Fixed an issue where Map, Cache, MultiMap data structures were returning negative values size when the size is more than Integer.
Fixed an issue when a Hazelcast client calls the distributed executor service and the callable throws an exception with a custom type, then the exception was not being transported to the client.
Updated log4j2 dependency version to 2. Added the support of partition grouping mechanism in the Hazelcast discovery plugin for Kubernetes. See System Properties for more information. There was a discrepancy between index-scan and full-scan. This behavior of index-scan and full-scan from the perspective of expiry-time shifting has been fixed:. Fixed an issue where the Java client was not receiving membership events when a member with Hot Restart Persistence enabled is restarted.
Serialization exception is now properly wrapped in Execution Completion Exception when thrown from get , getNow or join methods. Fixed an issue where data was being lost from maps in the event of a member failure in a 3-member cluster with backup count set to 1. This was occurring when lite members are promoted to be data members. Fixed an issue where the user code deployment feature was failing to work for inner-classes when not all the members have the user provided class on their classpaths.
Fixed an issue where Hazelcast was failing to load the configuration file hazelcast. Added the declarative configuration support for the client load balancer. Added public classes to expose the member and client side caching provider implementations without referring to internal classes. Updated the Hazelcast Kubernetes dependency to 2. Added the ability to set the expiration times for entries when using entry processors.
Fixed the propagation of exception from a function registered on a not-yet completed CompletionStage. Fixed a race condition when overwriting CacheManager during JCache creation. Fixed the client behavior when cluster encounters a split-brain. In some cases, the client was unable to reconnect to the cluster, even after the cluster is healed.
Improved disposing of off-heap memory when metrics are being used. See here for their explanations. Removed a constraint which was rejecting all the operations except the ones marked with AllowedDuringPassiveState while a member is shutting down. With this enhancement, operations are allowed during shutdown. This keeps the same safety guarantees while increasing availability, especially for the members holding large amounts of data.
Introduced a packet flag to distinguish between the connections of members having the same Hazelcast version and different versions. Updated pom. See here for details. Improved the client partition table update push mechanism to prevent latency spikes when there is a partition table change and many clients need to be notified. Fixed an issue where the split-brain protection events were triggered during the startup of members, but before they join the cluster.
With this fix, these listeners will not be fired until the minimum cluster size quorum is met after the member startups. Fixed an issue where the CP client message tasks were deserializing the responses. Fixed map store initialization behavior when instance is running under a Java Security Manager. Fixed an issue where the Hazelcast cluster having advanced network configuration was not sending the proper connection information to Management Center.
Fixed an issue where the Hazelcast instances were failing to start due to a missing flag for the cluster status. Reverted the change where Hazelcast was not retrying an invocation if it is sent to a specific member and returns the TargetNotMemberException exception. WAN sync can now be invoked on the lite members for dynamically added WAN configurations only if the configuration was added using that lite member. Other lite members can still fail if WAN sync is invoked on them for the dynamically added configuration.
Introduced trusted interfaces concept for the Management Center connections. It is now possible to restrict the source IP addresses from which the Management Center operations are allowed.
Promoted the IMap. Upgraded Log4J2 version to 2. Updated the Hazelcast Kubernetes plugin to 2. Fixed an issue where the Metrics beans were missing the standard Type information when monitoring with JMX. Fixed an issue when a Raft leader stops receiving heartbeats from the majority and it switches to the follower role in the same term: during this switch, it was also deleting its own vote in the term.
Encrypting Data in Hot Restart Store: Provided a framework and implementation to encrypt data in Hot Restart stores “at rest” for data held in distributed structures. See the Encryption at Rest section. See the Security chapter. See the CP Subsystem Persistence section. This way, you do not need to have at least three IMDG members to use CP subsystem: you can benefit from its functionalities using only one or two members. Bitmap Indexes: Introduced this feature to significantly lower index memory usage for low-cardinality columns and also to speed up the queries and lower memory requirements for them when the queries have multiple predicates acting on the same bitmap index.
See the Bitmap Indexes section. Externalized the hardcoded Flake ID Generator properties. So the following constants are now in FlakeIdGeneratorConfig :. Changed the behavior of the getAll method: when either of the loaded key or value returned by the MapLoader is null, this method now fails fast. Removed the MapEvictionPolicy class and its related configurations. This has brought the following changes:. EvictionConfig is used instead of MapEvictionPolicy for custom eviction policies.
Removed deprecated IMap methods accepting EntryListener. Removed deprecated DistributedObjectEvent. The replacement is DistributedObjectEvent. Removed the deprecated getReplicationEventCount method of local replicated map statistics. Removed the legacy AtomicLong and deprecated IdGenerator implementations.
Removed the legacy ILock implementation and the HazelcastInstance. The ICondition is not supported anymore. Removed the legacy AtomicReference implementation and the HazelcastInstance. Instead we provide the unsafe mode for all CP data structures. Removed the legacy Semaphore implementation and the HazelcastInstance. Removed the legacy CountdownLatch implementation and the HazelcastInstance. Made the collection clones of IMap immutable so that UnsupportedOperationException is thrown consistently upon the attempts to update a collection returned by the keySet , entrySet , localKeySet , values and getAll methods.
Removed the unused entry listener configuration code since the return type of getImplementation has been changed from EntryListener to MapListener.
Fixed MemberAttributeEvent s getMembers method to return the correct members list for the client. With this change, an event is published when a new migration process starts and another one when migration is completed. Additionally, on each replica migration, both for primary and backup replica migrations, a migration event is published.
Renamed PartitionListener to PartitionReplicaInterceptor and removed registering child listeners, which is not used. Renamed InternalMigrationListener to MigrationInterceptor and converted to interface with default methods. CachingProvider no longer resolves an URI as the instance name since it was used both as the namespace for the cache manager and as a means to locate a running Hazelcast instance.
Removed the configuration for user defined services SPI. The group name in the client configuration renamed to cluster name. They have been replaced with the getProperty methods, e. Moved the following client statistics properties to the public ClientProperty class.
Removed the connection-attempt-period and connection-attempt-limit configuration elements. Instead, the elements of connection-retry are now used. Also, its extractor field is renamed as extractorClassName. Improved the index configuration API so that now you can specify the name of the index. Also, instead of boolean type, you can use index type enumeration. Renamed the group-name configuration element as cluster-name and removed the GroupConfig class.
Removed the deprecated configuration parameters from Replicated Map, i. Removed the deprecated configuration parameters from the Near Cache configuration. Before, it was configured as a parent-level element. Moved the Merkle tree configuration under map configuration. Removed the hazelcast. Changed the non-space-string XSD type to collapse all whitespaces, so they are handled correctly in the declarative Hazelcast IMDG configuration files. Previously, it was disabled only for the Enterprise edition.
Some examples are listed below:. Replaced the WAN prefix of classes with Wan for the sake of naming consistencies. Separated WAN private and public classes into different packages. Also, the value type has been removed from the various “view” interfaces such as MergingHits , MergingCreationTime , etc.
The new marker super-interface MergingView has been introduced that all the “view” interfaces including MergingValue now extend. The generic type signature of SplitBrainMergePolicy has been changed to specify the deserialized type of the merging value.
Introduced “split brain protection” concept to replace “quorum” to make it more explicit and unambiguous. Classes and configuration elements including the term “quorum” has been replaced by “splitbrainprotection”. Removed the legacy merge policies specific to a data structure in favour of generic merge policies. Now all the POST handlers use the checkCredentials method since it handles the case when there is no data sent.
Now all the handlers use the common prepareResponse method which prepares the response for different response types appropriately. Expanded the return value of the cluster URI to return an array with JSON objects for each cluster member so you do not need to parse the member list but keep the list as a separate value. Merged the client module into the core module: All the classes in the hazelcast-client module have been moved to hazelcast.
The Predicate API has been cleaned up to eliminate exposing internal interfaces and classes. Converted Projection to a functional interface so that it has become lambda friendly. Converted the Aggregator abstract class to an interface.
Converted the following custom query attribute abstract classes to functional interfaces so that they have become lambda friendly. Moved various private classes to internal packages. These include Endpoint. Now, it has been replaced by CompletionStage. See for more details. Removed the usage of com. IBifunction , replaced it with java. Made the EntryProcessor interface lambda friendly. Removed the LegacyAsyncMap interface.
Removed the support for primitives for setAttribute and getAttribute member attributes. All member attributes support only String attributes now. Removed the java. CacheService now implements StatisticsAwareService Renamed the class to start a Hazelcast member from com. StartServer to com. Transaction collection classes TransactionalMap , TransactionalList , etc. Added support for the standard JAAS callbacks, i. Introduce the concept of security roles to distinguish between a single connecting side identity and its privileges.
Introduced the concept of security realms on the members. Added typed authentication and identity configuration e. See the Getting Started section. Before, they were using HTTP. See the cluster. See the Loading and Storing Persistent Data section. See the Checking the Instances’ Name section. Also, a new system property, hazelcast. Improved Client Performance: Introduced a way to eliminate the sync backup wait from the client and send the backup ACK to the client: the smart clients have been made backup aware and the backups now are redirected to the client directly from the backup members.
See the Configuring Backup Acknowledgment section. Ownerless Client: Previously, the clients had an owner member responsible for cleaning up their resources after they leave the cluster.
Also, the ownership information was needed to be replicated to the whole cluster when a client joins the cluster. This mechanism have been made simpler by introducing the following system properties to control the lifecycle of the clients on the member side:. See the System Properties section. Single Thread Hazelcast Clients Performance: Hazelcast clients have been designed to be used by multiple threads; the more threads you throw at it, the better the performance until it is saturated.
Now, it has also been optimized for a single thread doing requests: The default values for the hazelcast. Renamed the WanReplicationRef. Added convenience constructor for SpringManagedContext to easily create it in the programmatic way. Added the getOrCreate method to the client configuration to fix the issue with setInstanceName when using Spring Boot and Hazelcast client.
Removed the shortened mancenter phrase from the source code. Removed the client side user executor and related configuration, i. Added the support for yml extension, in addition to yaml , for the Hazelcast configuration locator. Improved the IMap. Added option to disable retrieving the OSMBean. The recreateCachesOnCluster invocation is not being checked for the maximum invocations count anymore during cluster restarts.
Introduced a special Java client type to be used by Management Center. Added the cache statistics to the dynamically collected metrics Removed fail-on-maxbackoff element in the connection retry configuration and added cluster-connect-timeout-millis instead to allow retrying with fixed amount of time and shutdown after some time. Introduced cluster fail-fast when there are missing security realms. Unified the IMap and ICache eviction configurations to decrease the configuration complexity.
Introduced dynamic metric collection. Previously, Hazelcast metrics were reported programmatically to the Hazelcast Management Center, one by one. Both reporting to MC and exposing on JMX are toggleable by using the metric configuration element introduced in 4. Added the support for nested JSON objects in arrays. To be shown on Management Center, the clients now send both its IP address and canonical hostname. Before, only the hostname of the client was shown. Introduced configuration of initial permits for CP subsystem semaphore.
Added support for null keys for the client side implementations of IMap. Improved the generics for the API with Projection, Predicate and EntryListener by adding lower bounded wildcards to accept a wider range of parameters. Improved the performance of TransactionLog. Made ClientConfig to override toString as it is the situation with Config to make it easier to troubleshoot.
Introduced functional and serializable interfaces having a single abstract method which declares a checked exception. Enhanced the queries read-only operations in the CP Subsystem so that they are executed with linearizability but they are not appended to the Raft log.
By this way, the grow of Raft logs and snapshots of read-only operations are prevented, leading to throughput improvement Otherwise, the unconditional deserialization was causing overhead. Updated the following packages to Java 8 and removed the 3.
Added the support for Java 8 Optionals in the queries. Fixed the Javadoc markup issues. Updated the Hazelcast Kubernetes dependency to version 1. Updated the web session manager dependency to its latest version. Separated the statistics for IMap. Introduced a warning log for illegal reflective access operation when using Java 9 and higher, and OpenJ9.
Added a method to easily identify when all replicas of a partition have been lost: allReplicasInPartitionLost Improved the fluent interface of configuration classes by adding the return this statements to the setter methods. Added support for falling back to a “default” configuration for the cache data structure.
Fixed an issue where disabling the quorum had not an effect and was still checking the presence of split-brain protection.
Fixed an issue where the Imap. Fixed an issue where the serializable singleton comparators for natural and reverse order was creating new instances on deserialization. Fixed an issue where the destruction of a proxy that is not yet initialized was blocking on its construction, leading to the risk of deadlock.
Fixed an issue where the MembershipEvent. Now, it throws an exception. Fixed the joining mechanism so that when the discovery strategy is enabled, multiple join configurations are prevented. Fixed an issue where the client-side HazelcastInstance was not throwing a configuration exception when there is a conflict between the dynamic and static configurations.
Eliminated the unnecessary iterations and object creations on the bulk client responses. Fixed an issue where repetitive calls of IMap. Fixed an issue where Address.
To never miss any invalidation and never read any stale data indefinitely, get based updates use reservations. With this fix, this reservation based solution also applies to the put operations when CacheOnUpdate is configured. Fixed an issue where ProxyManager was not removing Proxy even after the original distributed object is destroyed.
Introduced an additional stage to the Hot Restart procedure, i. This guarantees all members to have the same state after Hot Restart operation is finished.
IMap proxies created during Hot Restart are not initialized and published to other cluster members. So the operation has been improved to force initialize any uninitialized proxies and publish them. This fixed the issue where the getDistributedObjects method was not reporting the persisted objects after a Hot Restart.
Forced eviction was evicting all the entries regardless of the eviction configuration. This has been fixed: forced eviction now runs only if a map has eviction configured. Otherwise, it does not run and throws native OutOfMemoryException. Fixed an issue where some functions may not be working when a client provides a new client type: removed ClientType and ConnectionType enums and introduced free strings for them instead. Fixed a race condition between the new cluster member join and post-join operations executed as part of the concurrent member join.
Fixed an issue where an enabled redoOperation was not throwing an exception when an empty list is tried to be retrieved on the client. Aligned the exception mechanism of CacheManager. Fixed an issue where the configuration validator was not checking if the maximum size policy is appropriate for the selected in-memory format.
Fixed an issue where ManagementCenterService was shutting down itself when it encounters an exception during the creation of TimedMemberState. This was causing the cluster to disappear from Management Center. Fixed an issue in the query operation for offloaded cases. Fixed the cache statistics handling: Previously used Config. Now, CacheService. Fixed an issue where an exception thrown from a dynamic metric provider was stopping the dynamic metric collector task. Fixed an issue where the map and Replicated Map in a client share the same near cache when they have identical names.
Fixed the extensive Overwriting existing probe logs when starting a Hazelcast member. Fixed an issue where tcp. Fixed an issue where the client connection count was retrieved using an incorrect method. Fixed an issue where calling the IMap. Fixed the consistency issue between the configuration replacers and XML configuration imports. Fixed a configuration failure with YAML for composite key indexes.
Fixed an issue where Predicates. Fixed an issue where the gauges could not be created from the dynamic metrics. Fixed the inconsistent behavior for sending a null message via Topic.
Now, the client side also is not allowed to send it. Made the public createCachingProvider method private since its class, HazelcastServerCachingProvider , is a private one.
Fixed an issue where the client. Fixed an issue where the query cache was missing key and value information for entries. Fixed an issue where a new CP member could create the Raft nodes before its local CP member field is not initialized yet, when it is being promoted. This could create non-determinism issues for CP groups relying on the local CP member information.
Fixed an issue where the CompletableFuture defaultExecutor method caused compilation failure on JDK 9 due to the “protected” access. Fixed a race issue by initializing the local CP members before initializing the metadata group.
Fixed an issue where the executor service message task was blocking the partition thread. Fixed an issue where the used memory in metrics was becoming a negative value. Moved the checkWanReplicationQueues operation from the caller side to the callee. Fixed an issue where the map configuration options readBackupData and statisticsEnabled were not being respected when a new MapConfig is dynamically added from a client to a running Hazelcast cluster.
Fixed an issue where the comparators were not able to act on both keys and values. A custom paging predicate comparator may act on keys and values at the same time even if only the keys are requested, e. Before this fix only the keys were fetched for this method, making comparators unable to act on values. Optimized the shutdown for on-heap indexes: These indexes are cleaned on shutdown and the index entries are removed one by one.
For large indexes, e. Fixed the deserialization filtering for Externalizables and Deadlock in the map index. The deserialization filter was not properly protecting against the vulnerable Externalizable classes.
The filtering has been extended. Fixed an issue where the named scheduled tasks was not respecting the HazelcastInstanceAware marker. Fixed a possible NullPointerException for the remove-if-same map operation. Fixed an issue where storing MapStore instances in MapStoreConfig could cause member failures when the configuration is added dynamically. Fixed a NullPointerException in the query caches by setting the publisher-listener-id if a query cache has already one.
Fixed an issue where the commit phase of transactional maps was not checking the member-wide upper limit for the entries in write behind queues. Now, this way, the expiration maxIdle mechanism takes this into account. Fixed an issue where ExecutorServiceProxy was unnecessarily serializing the same task multiple times before submitting it to multiple members.
Added the missing user code deployment section to the configuration which is sent to Management Center. Fixed an issue where two client listeners are not registered since they listen on a single connection not cluster wide listeners by adding cleanups for them. Fixed the authentication mechanism between the clients and members by adding a check to prevent re-verification while the client is changing its owner member.
Added support for the missing aliased discovery strategies, e. Fixed an issue where the client user code deployment was becoming non-operational when assertions are enabled. Some operations such as heartbeat checks and partition migrations share common threads with the client login module. In case of the long running client login module implementations, some symptoms such as split brain syndrome can be seen.
This has been fixed by introducing a blocking executor which is used only for the client authentications. Fixed an issue where the IMap. Removed the entryEvicted event from the event firing mechanism in the case of eviction.
Before, both entryEvicted and entryExpired events were being fired. This was happening when the configuration file is set by using the hazelcast. Fixed an issue where the client was not considering the new address of a restarted member, which has the same UUID but could have a different IP address after it is restarted. Fixed an issue where the migration operations were running before the previous finalization is completed.
Fixed an issue where the outbound pipeline was not waking up properly after various optimizations for write-through persistence is made. Fixed an issue caused by the cache being not ready to be used immediately after the cache proxy was created. Fixed an issue where the performance of IMap.
Also, PartitionPredicate was not respecting indexes. So, now global indexes are used for partition queries. Fixed a performance issue where there were unneeded iterations and object creations while converting the client messages to user objects.
Fixed an issue where the locked entries with a time-to-live were not evicted. With this fix, the lock operation checks if an entry has already expired. Fixed an issue where there were excessive amount of logs on the target cluster when cache config is missing for the WAN replication.
Fixed an issue where there was an inconsistent removeIf behavior among the collection views of IMap. Fixed a leak in the query cache due to ListenerRegistrationHelper , which has been removed with this fix. Removed the deprecated SimpleEntryView. Removed the deprecated IMap methods accepting EntryListener. This has been replaced with MapListener. Removed the deprecated EvictionPolicyType class. Instead, use the enhanced EvictionPolicy class. Removed the legacy IdGenerator interface.
Instead, FlakeIdGenerator has been used. Updated the version of Hazelcast Kubernetes plugin to 1. Enhanced the tracking of missing CP subsystem members after a split-brain merge situation. Fixed an issue where the lock requests in clients’ maps with infinite time lease were returning Long. Fixed an issue where the diagnostic plugins were not being rendered properly when they fail.
Fixed an issue where the load balancer for clients could not be configured declaratively. Updated the hazelcast-kubernetes dependency version to 1.
Added support for tenant control when creating caches. Fixed a performance issue when using paging predicates with JDK 8. With this fix, these events will not be fired until the minimum cluster size quorum is met after the member startups. Fixed an issue where notifying the partition table updates to the clients by a member was causing latencies. Updated the version of Hazelcast Kubernetes discovery plugin to 1. Fixed an issue where explicitly registering portable class definitions was failing with multiple portable factories and overlapping class IDs.
Fixed an issue where Reliable Topic was not working properly due to missing permissions. Fixed an invalidation issue when using a transactional map from a cache with Near Cache: the cache invalidation event occurs when the transactionalMap.
Introduced Bitmap Indexes to significantly lower index memory usage for low-cardinality columns and also to speed up the queries and lower memory requirements for them when the queries have multiple predicates acting on the same bitmap index.
Fixed the map configuration so that now the value of optimize-queries element is not serialized anymore. Fixed a race condition caused by using on-heap indexes while indexing is in progress. Fixed the issue with setInstanceName when using Spring Boot and Hazelcast client: the getOrCreate method has been added to the client configuration. Fixed an issue where the MembershipListener. Fixed an issue where, after forming a cluster, certain members occasionally do not contain EventService registrations for some other members.
Added support for the PartitionLostListener configuration on the client side. Fixed an issue where the query was ignoring the index but was processing successfully. Fixed an issue where the predicate queries to retrieve multi-values were failing on the nested JSON objects in arrays. Fixed a possible livelock when many threads were trying to use the incrementMod method causing an infinite loop. Improved the client graceful shutdown mechanism so that its tasks are executed before marking a client as inactive.
Added the support for nested JSON objects in the arrays. Fixed an issue where the node. Fixed an issue where Management Center was not able to see the 3. Made PagingPredicate a VisitablePredicate so the optimizer is able to visit its inner predicate to optimize it or to select an index to evaluate the inner predicate with. Otherwise, two different discovery tasks could overlap and run concurrently or one of the discovery tasks could run in a corrupted state.
Fixed an issue where the cleaner task for expired records was logging the exceptions during migrations: the log level for PartitionMigratingException has been set to FINEST.
Fixed an issue where normalFramesRead and priorityFramesRead were never incremented as seen in the diagnostic logs. Fixed an issue where the readBackupData and statisticsEnabled options were not respected when a new map configuration is dynamically added from a client to a running Hazelcast cluster. Fixed an issue where a lock was required when registering metrics on the happy path. Fixed an issue where some updates to the entries got lost from the write behind queue: It was a concurrency issue when there are updates to CoalescedWriteBehindQueue while StoreWorker is running.
Enabled the REST endpoints for the cluster. See the Configuring Declaratively section. To avoid having runtime functionality, that relies on this method, broken with each new major Java release, UNKNOWN as a detected current runtime version is now considered to be at least any other version.
Fixed an issue where storing MapStore instances in MapStoreConfig could cause member failures when the configuration is added dynamically: When you configure the map store by the class name and start Hazelcast with this configuration, the MapStoreConfig implementation field was altered to store the reference to the MapStore instance created by Hazelcast this meant that someone can access the created map store instance via MapStoreConfig getImplementation.
With this fix, MapStoreConfig behavior has become aligned with other data structures’ configuration, i. Also, this fix eliminates the side effects with the dynamically added map configurations, potentially breaking this functionality for the maps with map stores configured. Fixed an issue where an executor was serialized multiple times when it is sent to multiple members by a Java client.
Now, it is serialized only once as expected. See the License Information section. This version of JCache does not introduce new functionalities; it resolves the errata and issues in JCache 1. See the Upgrading to JCache 1. Improved Config getConfigurationUrl ‘s Javadoc to mention that it returns null if the Config instance has been built from a source different than URL or file. Improved the Raft snapshotting so that the old log entries are not kept when there is no follower with an unknown match index.
Updated the Hazelcast Kubernetes dependency to the latest version. Added the getter method for the YAML configuration builder properties. Introduced a warning log for illegal reflective access operation when using Java 9 and higher, and OpenJ 9. Updated the Hazelcast web session manager dependency to the latest version. Fixed an issue which was causing OutOfMemoryException in a split-brain situation, due to the client listeners.
This has been fixed by introducing a blocking executor which is used only for the client JAAS authentications. See the CP Subsystem chapter. Pipelining: Introduced pipelining mechanism using which you can send multiple requests in parallel to Hazelcast members or clients, and read the responses in a single step. See the Pipelining section. See the Advanced Network Configuration section.
Support for JDK 6 and 7 has been dropped. The minimum Java version that Hazelcast supports now is Java 8. See the Supports JVMs section. Sharing Hot Restart base-dir among Multiple Members: The base directory for the Hot Restart feature base-dir is now used as a shared directory between multiple members, and each member uses a unique sub-directory inside this base directory.
This allows using the same configuration on all the members. Previously, each member had to use a separate directory which complicated the deployments on cloud-like environments. During the restart, a member tries to lock an already existing Hot Restart directory inside the base directory.
If it cannot acquire any, then it creates a fresh new directory. See the Configuring Hot Restart section. See the description of the auto-remove-stale-data configuration element in the Configuring Hot Restart section. Client Permission Handling When a New Member Joins: Introduced a declarative configuration attribute on-join-operation for the client permission in the Security configuration its programmatic configuration equivalent is the setOnJoinPermissionOperation method.
This attribute allows to choose whether a new member joining to a cluster will apply the client permissions stored in its own configuration, or will use the ones defined in the cluster.
Automatic Cluster Version Change after a Rolling Upgrade: Introduced the ability to automatically upgrade the cluster version after a rolling upgrade. See the Upgrading Cluster Version section. See the FIPS section. Client Instance Names and Labels: You can now retrieve the names of client instances on the member side. See the Defining Client Labels section. Composite Indexes: Introduced the ability to recognize the queries that use all the indexed properties and treat them as a composite, e.
See the Composite Indexes section. Members now fail fast when the max-idle-seconds element for the entries in a map is set to 1 second.
See the note in the Configuring Map Eviction section for this element. Also improved the non-empty password INFO message. Improved the code comments for the HazelcastInstance interface. Improved the speed of partition migrations. This has been achieved by sharing only the latest completed migration information with the members, instead of sending the whole partition table after each migration. Additionally, there was no need to send the completed migrations to all cluster members after each migration.
Instead, completed migrations are sent to the source and destination members of the migration inside migration operations. Remaining members, now, receive the completed migrations in batches asynchronously. Improved the Javadoc of HazelcastClient so that the code comments now use “unisocket client” instead of “dumb client”. Added the ability to set the EvictionConfig. Improved the syncing of XSD files. The IMap. Improved the diagnostics tool so that it automatically creates the configured directory for the diagnostic outputs.
Fixed an issue where the state of member list on the clients were broken after a hot restart in the cluster. Fixed an issue where the outbound pipeline was not waking up properly after merging the write-through changes. Fixed an issue where NullPointerException s was thrown recursively when a client is connected to an unreachable member during a split-brain.
Fixed an issue where the IP client selector was not working for the local clients. Fixed the wording of a misleading error in the first attempt to connect to a wrongly configured cluster.
Fixed an issue where the setAsync method was throwing NullPointerException. Fixed an issue where the collection attributes indexed with [any] were causing incorrect SQL query results, if the first data inserted to the map has no value for the attribute or the collection is empty. Fixed an issue where the rolling upgrade was failing when all members change their IP addresses.
Fixed an issue where the resources were not wholly cleared when destroying DurableExecutorService causing some resources to be left in the heap. Fixed an issue where QueryCache was not returning the copies of the found objects. Fixed an issue where the locks were not cleaned up after the members are restarted.
Fixed an issue where the user code deployment feature was throwing NullPointerException while loading multiple nested classes and using entry processors.
Fixed an issue where the newly joining members could not form a cluster when the existing members are killed. Fixed an issue where the addIndex method was performing a full copy of entries when a new member joins the cluster, which is not needed. Fixed an issue where the initialization failure of discoveryService was causing some threads to remain open and the JVM could not be terminated because of these threads.
Fixed the discrepancy between the XSD on the website and the one in the download package. PagingPredicate with comparator was failing to serialize when sending from the client or member when the cluster size is more than 1. This has been fixed by making the PagingPredicateQuery comparator serializable. Fixed an issue where TcpIpConnectionManager was putting the connections in a map under the remote endpoint bind address but not under the address to which Hazelcast connects.
Instead, the implementations provided by the CP Subsystem have been introduced. Fixed an issue where the Near Cache invalidation was not working properly when used with Transactional Map. Fixed an issue where the OSMBean. Fixed an issue where the newly joining members could not form a cluster when the existing members go down.
For this, the joiner mechanism has been improved, details of which can be seen in Added the security manager protection to member configuration methods so that the user code deployments can be used in a more secure way. Fixed an issue where there was a leak in the socket channel when the networking is restarted after the cluster merge. Fixed an issue where the partition table was not being updated correctly on the client side when the connection was changed due to the changes in the member list.
Disabled the migrations while the mastership claim is in progress to prevent the creation and submission of migrations before its claim is approved by all the final cluster members. Fixed an issue where some of the operation statistics were incorrectly reporting operations per partition. Fixed an issue where the entries in the Transactional Map were ignored while promoting from the backups.
Fixed an issue during the backup expirations of maps with High-Density Memory Store when there is no eviction configured. Fixed an issue where the map statistics are not updated when the IMap. Introduced a new system property hazelcast. Fixed an issue where InitialMembershipEvent was being fired with empty member list, when client async start is enabled.
Fixed an issue where the invokeOnPartitionsAsync method was not returning a value when the memberPartitions is empty. Removed a misleading exception on the member side when the Java client is disconnected via the method hazelcast.
Fixed an issue where the getOperationCount statistics were not updated as expected when performing get operations from the Java client. Difference between the clocks of target and source clusters had a potential to completely block the WAN communication which may cause the WAN queues to be filled up.
This has been fixed by ignoring the call timeout check for WAN operations. If you have multiple Hazelcast members on a single machine and you are using unisocket clients, we recommend you to set explicit ports for each member. Then you should provide those ports in your client configuration when you give the member addresses. Otherwise, all the load coming from your clients may go through a single member.
Toggle Scripting Support : Introduced the scripting-enabled configuration attribute so that you can allow or prevent sending commands to the members from the Hazelcast Management Center. See the Toggle Scripting Support section for information on how to configure it. Fixed an issue where the performance of DefaultQueryCache was degraded because of the flow in case of the index-aware queries. When the client having a Reliable Topic reconnects to the cluster, the MessageListener added to the client was no longer receiving messages, unlike the MapListener.
Fixed an issue where the members and clients were not disconnecting the connection as soon as a heartbeat timeout is detected. The member side heartbeat monitor was still checking if the connection is the owner connection.
This activity has also been removed. Fixed an issue where the failed store operations was filling the write-behind queues by duplicating themselves, in each run of the store-worker thread this was happening when write-batch-size is larger than 1 and write-coalescing is disabled, there was and is no issue for the default values of these properties. Fixed an issue where the querying performance dropped when running Hazelcast within OSGi.
Due to the API change in evictionPolicy in maps related issue is listed above as , you may face with a configuration conflict while using dynamic configuration, i. You can use the hazelcast. Also introduced the new configuration element persist-wan-replicated-data to specify whether to persist an incoming event over WAN replication or not.
See the Configuring Consumer section. License Enforcements and Warnings : Introduced a license monitor daemon that warns about expirations and instructs about the next steps. This is fixed by adding the method setTTL on both the member and client sides. See the here. Ability to Set Custom Maximum Idle Timeouts for Map Entries : Extended the put operation so that now it has a maxIdle parameter that represents the idleness seconds for specific entries.
See the Evicting Specific Entries section. Configurable Backoff Strategy for Client Reconnections : Introduced a highly configurable exponential backoff mechanism for the client with which you can set the duration for waiting after connection failures, upper limit for the wait, etc. See the Client Connection Retry Configuration section. Map Index Statistics : Introduced statistics related to indexes. To achieve this, map statistics have been extended with per index information about indexes associated with a certain map.
See the Map Index Statistics section. See the documentation for more information. Introduced the ability which allows adding the user libraries to the classpath.
The method ClientCloudConfig. The client was always constructed with an empty userContext. This has been improved by adding the method setUserContext for the object ClientConfig.
MigrationRequestOperation has been improved with the new Offload abstraction. Improved the multicast discovery strategy for clients. Removed group password from Hazelcast configuration. The password is not checked anymore during member joins. Introduced a more proper way of heap-data conversion: the method toHeapData. Before, ToHeapDataConverter was being used. The method EntryListener.
PN counter data from the first member was lost. This is fixed by removing PN counter statistics on migrations. Fixed the incorrect TCP connection probe registration in outgoing member connections. Clients were sometimes failing to reconnect to another owner member with the ExecutionException. This is fixed by making ClientReauthOperation to be retryable. This is fixed by skipping expired events in the journal during reading.
Fixed the HazelcastOverloadException when trying to shutdown the cluster. It was also not performing a graceful shutdown.
Now cluster state operations are marked as UrgentSystemOperation since otherwise, these operations might get rejected by backpressure. Fixed the noisy health check logging when starting Hazelcast. When an unserializableResponse is tried to be sent to the client as a response from the executor service tasks, the exception was logged on the server side and there was no response returned back to the client.
This has been fixed by removing the logging and sending HazelcastSerializationException to the client. Fixed the issue where IMap entries having a max-idle-timeout were not expiring when the member shuts down. Reliable Topic was not working after the correct partition migration to previous owner member where it was created the first time and message listener was attached ; there were no exceptions or warnings.
Fixed the repeatedly thrown IllegalAccessException when the client statistics is enabled. Fixed the InaccessibleObjectException which is caused by the operating system level metrics silently dropping on Java 9 when a Hazelcast member is started. Attribute extractor now falls back to the user code deployment: it was not using the user code deployment to search for the extractor implementation. Fixed the connected clients being slow when the server port is connected without receiving anything.
When using the hazelcast-all artifact for 3. This is fixed by updating the default Hibernate version to 5. When adding a dynamic data structure configuration, Hazelcast fails fast when the same structure is already configured statically even when both configurations are equal. This is fixed so that the submitted dynamic configuration is silently ignored when it is equal to an existing static configuration, or Hazelcast fails with a ConfigurationException when a conflicting static configuration already exists.
This is fixed by making Hazelcast fully compatible with Java When a member is killed, events are lost and the method QueryCache. This is fixed by resetting the query cache sequence numbers by the local promotions.
Fixed the memory leak on NonBlockingSocketWriter when the client disconnects: the member instance was holding onto a write buffer when a client disconnects abruptly, while there is pending data to be sent.
The comparison of values during the operation CacheRecordStore. This is fixed by not firing an update event when merging values are equal. This is fixed by recreating the local cache configurations when the client is connecting to a restarted member. It also does not happen on other async proxies.
This is fixed so that the client does not unwrap this exception. Removed group password based credentials check in for the client connections. When IPv6 is enabled for Hazelcast, the started member was still setting an IPv4 as a local address by default.
This is fixed by improving the IPv6 bind address selection mechanism. Fixed an issue for hostname and local network interface matching in the DefaultAddressPicker. The member was picking the hostname which resolves to an IP not present locally. The method MapLoader. But, the method MapLoader. This was inconsistent and the latter was problematic for WAN replicated clusters. It is fixed by avoiding the invocation of MapLoader on containsKey. Loaded entries were listened using EntryAddedListener.
Replicated entries were being persisted at the target cluster in its map store. Now, they are not being persisted by default anymore. You can use the newly introduced configuration element persist-wan-replicated-data and set it to true the default is “false” to make these entries to be persisted. Map entries timestamps: Entry timestamps i.
This discovery mechanism provides a service based discovery strategy by using Apache Curator to communicate with your Zookeeper server. You can use this plugin with Discovery SPI enabled applications.
This is provided as a Hazelcast plugin. Consul is a highly available and distributed service discovery and key-value store designed with support for the modern data center to make distributed systems and configuration easy.
This mechanism provides a Consul based discovery strategy for Hazelcast enabled applications and enables Hazelcast members to dynamically discover one another via Consul. This mechanism provides an etcd based discovery strategy for Hazelcast enabled applications. This is an easy to configure plug-and-play Hazelcast discovery strategy that optionally registers each of your Hazelcast members with etcd and enables Hazelcast members to dynamically discover one another via etcd.
See its documentation on how to install, configure and use the plugin Hazelcast for PCF. Hazelcast can run inside OpenShift benefiting from its cluster management software Kubernetes for discovery of members. See the following related documentation:. Management Center. See also the Hazelcast for OpenShift guide, which presents how to set up the local OpenShift environment, start a Hazelcast cluster, configure the Management Center and finally run a sample client application.
Eureka is a REST based service that is primarily used in the AWS cloud for locating services for the purpose of load balancing and failover of middle-tier servers. See its documentation. Heroku is a platform as a service PaaS with which you can build, run and operate applications entirely in the cloud. It is a cloud platform based on a managed container system, with integrated data services and a powerful ecosystem.
Kubernetes is an open source system for automating deployment, scaling and management of containerized applications. Hazelcast provides Kubernetes discovery mechanism that looks for IP addresses of other members by resolving the requests against a Kubernetes Service Discovery system.
You do not have to list all of these cluster members, but at least one of the listed members has to be active in the cluster when a new member joins. Set the enabled attribute of the multicast element to false. As shown above, you can provide IP addresses or host names for member elements. You can also give a range of IP addresses, such as Instead of providing members line-by-line as shown above, you also have the option to use the members element and write comma-separated IP addresses, as shown below.
If you do not provide ports for the members, Hazelcast automatically tries the ports , and so on. By default, Hazelcast binds to all local network interfaces to accept incoming traffic.
You can change this behavior using the system property hazelcast. If you set this property to false , Hazelcast uses the interfaces specified in the interfaces element see the Interfaces Configuration section.
If no interfaces are provided, then it tries to resolve one interface to bind from the member elements. With the multicast auto-discovery mechanism, Hazelcast allows cluster members to find each other using multicast communication. The cluster members do not need to know the concrete addresses of the other members, as they just multicast to all the other members for listening.
Whether multicast is possible or allowed depends on your environment. To set your Hazelcast to multicast auto-discovery, set the following configuration elements. See the multicast element section for the full description of the multicast discovery configuration elements.
Set multicast-group , multicast-port , multicast-time-to-live , etc. Set the enabled attribute of both tcp-ip and aws elements to “false”. Pay attention to the multicast-timeout-seconds element. This only applies to the startup of members where no leader has been assigned yet. If you specify a high value to multicast-timeout-seconds , such as 60 seconds, it means that until a leader is selected, each member waits 60 seconds before moving on.
Be careful when providing a high value. Also, be careful not to set the value too low, or the members might give up too early and create their own cluster. Hazelcast members and native Java clients can find each other with multicast discovery plugin. You should configure the plugin both at Hazelcast members and Java clients in order to use multicast discovery. To do this, set the enabled attributes of the multicast and tcp-ip elements to false in your hazelcast.
Set the enabled attribute of the hazelcast. Add multicast discovery strategy configuration to your XML file, i. The following are the multicast discovery plugin configuration properties with their descriptions:. You can separate and group your clusters in a simple way by specifying cluster names. Example groupings can be by development , production , test , app , etc.
The following is an example declarative configuration. You can also define the cluster configuration programmatically. A JVM can host multiple Hazelcast instances.
Each Hazelcast instance can only participate in one group. Each Hazelcast instance only joins to its own group and does not interact with other groups. The following code example creates three separate Hazelcast instances– h1 belongs to the production cluster, while h2 and h3 belong to the development cluster.
If you have a Hazelcast release older than 3. The following are the configuration examples with the password element:. Hazelcast can dynamically load your custom classes or domain classes from other members.
A lite member can be designated as a class repository , but any member can provide classes to other members. For this purpose Hazelcast offers a distributed dynamic class loader. It first checks locally available classes, i.
If the class is found, it is used. Then it checks the cache of classes loaded from remote members or clients if caching is enabled on your local member, see the Configuring User Code Deployment section.
If your class is found there, it is used. Finally, the dynamic class loader checks configured remote members, one by one. If some member returns the class, it will be used. It can also put this class into the local class cache as mentioned in the previous step. The dynamic class loader is released after the operation is handled. A next operation will load the class from the cache or re-fetch it. User Code Deployment feature is not enabled by default.
You can control local caching of the classes loaded from other members, control classes to be provided to other members and create blacklists and whitelists of classes and packages. If feature is disabled, the member will never load classes from other members or clients. Available values are:. This is the default value and suitable when you load long-living objects, such as domain objects stored in a map.
OFF : Do not cache the loaded classes locally. It is suitable for loading runnables, callables, entry processors, etc. This is the default value. Classes loaded from other members are used locally, but they are not served to other members. For example, if you set it to “com. If you set it to “com.
Class”, then “Class” and all classes starting with “Class” in the “com. There are built-in prefixes which are always blacklisted. These are as follows:. It allows to quickly configure remote loading only for classes from selected packages. It can be used together with blacklisting. For example, you can whitelist the prefix “com. If the list is empty, all classes are allowed. Setting this to null allows loading of classes from all members.
See an example in the next section. As described above, the configuration element provider-filter is used to limit members that can be used to load classes. The attribute required in the provider-filter must be set as a member attribute on the members from which the classes are to be loaded.
See the following examples provided as programmatic configurations. The example configuration below allows the Hazelcast member to load classes only from members with the class-provider attribute set. It prevents from asking any other member to provide a locally unavailable class:. The example configuration below sets the attribute class-provider for a member.
Therefore the above member will be able to load classes from this member:. You have objects that run on the cluster via the clients such as Runnable , Callable and EntryProcessor.
When this feature is enabled on the client, the client will deploy the classes to the members when connecting. This way, when a client adds a new class, the members do not require a restart to include it in their classpath. You can also use the client permission policy to specify which clients are permitted to use User Code Deployment. See the Permissions section. Client User Code Deployment feature is not enabled by default.
You can configure this feature declaratively or programmatically. Following are example configuration snippets:. User Code Deployment must be enabled on the members. Otherwise, the classes from the client will be ignored. Also blacklisted and non-whitelisted classes will be ignored. The client uploads the classes only to one member.
See the Member User Code Deployment section for more information on enabling it on the member side and the configuration properties. The client always uploads all added classes and jars to one of the members, whether it has them or not. So avoid adding large jar files for each connection – if configured properly, the member will have the class the next time the client connects.
If the client uploads a class and the member already has that class, an exception is thrown if the byte code is different. If byte code is same, it is ignored. When you want to use a Hazelcast feature in a non-Java client, you need to make sure that the Hazelcast member recognizes it.
Then you can run the start. The following is an example code which can be the Java equivalent of entry processor in the Node. Then, you can start your Hazelcast member by using the start scripts start. The start scripts automatically adds your class and JAR files to the classpath. Hazelcast distributes key objects into partitions using the consistent hashing algorithm. Multiple replicas are created for each partition and those partition replicas are distributed among Hazelcast members.
The total partition count is by default; you can change it with the configuration property hazelcast. See the System Properties appendix. Hazelcast member that owns the primary replica of a partition is called as the partition owner. Other replicas are called backups. Based on the configuration, a key object can be kept in multiple replicas of a partition. A member can hold at most one replica of a partition ownership or backup. By default, Hazelcast distributes partition replicas randomly and equally among the cluster members, assuming all members in the cluster are identical.
But what if some members share the same JVM or physical machine or chassis and you want backups of these members to be assigned to members in another machine or chassis? What if processing or memory capacities of some members are different and you do not want an equal number of partitions to be assigned to all members?
To deal with such scenarios, you can group members in the same JVM or physical machine or members located in the same chassis.
Or you can group members to create identical capacity. We call these groups partition groups. Partitions are assigned to those partition groups instead of individual members. Backup replicas of a partition which is owned by a partition group are located in other partition groups. When you enable partition grouping, Hazelcast presents the following choices for you to configure partition groups. You can group members automatically using the IP addresses of members, so members sharing the same network interface are grouped together.
All members on the same host IP address or domain name form a single partition group. This helps to avoid data loss when a physical server crashes, because multiple replicas of the same partition are not stored on the same host. But if there are multiple network interfaces or domain names per physical machine, this assumption is invalid. This way, you can add different and multiple interfaces to a group. You can also use wildcards in the interface addresses.
For example, the users can create rack-aware or data warehouse partition groups using custom partition grouping. The following are declarative and programmatic configuration examples that show how to enable and use CUSTOM grouping:.
You can give every member its own group. Each member is a group of its own and primary and backup partitions are distributed randomly not on the same physical member.
This gives the least amount of protection and is the default configuration for a Hazelcast cluster. This grouping type provides good redundancy when Hazelcast members are on separate hosts.
However, if multiple instances run on the same host, this type is not a good option. As discovery services, these plugins put zone information to the Hazelcast member attributes map during the discovery process. That means backups are created in the other zones and each zone is accepted as one partition group.
The following is the list of supported attributes which is set by the Discovery Service plugins during a Hazelcast member start-up:. You can provide your own partition group implementation using the SPI configuration. To create your partition group implementation, you need to first extend the DiscoveryStrategy class of the discovery service plugin, override the method public PartitionGroupStrategy getPartitionGroupStrategy and return the PartitionGroupStrategy configuration in that overridden method.
Hazelcast has a flexible logging configuration and does not depend on any logging framework except JDK logging. It has built-in adapters for a number of logging frameworks and it also supports custom loggers by providing logging interfaces. To use the built-in adapters, set the hazelcast. You can set hazelcast. If the provided logging mechanisms are not satisfactory, you can implement your own using the custom logging feature. To use it, implement the com. LoggerFactory and com.
ILogger interfaces and set the system property hazelcast. You can also listen to logging events generated by Hazelcast runtime by registering LogListener s to LoggingService. Through the LoggingService , you can get the currently used ILogger implementation and log your own messages too. Below are example configurations for Log4j2 and Log4j.
Note that Hazelcast does not recommend any specific logging library, these examples are provided only to demonstrate how to configure the logging. You can use your custom logging as explained above.
To enable the debug logs for all Hazelcast operations uncomment the below line in the above configuration file:. If you do not need detailed logs, the default settings are enough. Using the Hazelcast specific lines in the above configuration file, you can select to see specific logs cluster, partition, hibernate, etc. You can also use the hazelcast.
When there are lots of log lines, it may be hard to follow. When set to false , those information will not appear. Its configuration is similar to that of Log4j2.
Below is the JVM argument way of specifying the logging type and configuration file:. All network related configurations are performed via the network element in the Hazelcast XML configuration file or the class NetworkConfig when using programmatic configuration. Following subsections describe the available configurations that you can perform under the network element.
By default, a member selects its socket address as its public address. If both members set their public addresses to their defined addresses on NAT, then that way they can communicate with each other. In this case, their public addresses are not an address of a local network interface but a virtual address defined by NAT.
It is optional to set and useful when you have a private cloud. Note that, the value for this element should be given in the format host IP address:port number. You can specify the ports that Hazelcast uses to communicate between cluster members. Its default value is The following are example configurations. Meaning that, if you set the value of port as , as members are joining to the cluster, Hazelcast tries to find ports between and You can choose to change the port count in the cases like having large instances on a single machine or willing to have only a few ports to be assigned.
The parameter port-count is used for this purpose, whose default value is In that case, you can disable the auto-increment feature of port by setting auto-increment to false. The port-count attribute is not used when auto-increment feature is disabled. By default, Hazelcast lets the system pick up an ephemeral port during socket bind operation. To fulfill this requirement, you can configure Hazelcast to use only defined outbound ports.
As shown in the programmatic configuration, you use the method addOutboundPort to add only one port. If you need to add a group of ports, then use the method addOutboundPortDefinition.
In the declarative configuration, the element ports can be used for both single and multiple port definitions. The join configuration element is used to discover Hazelcast members and enable them to form a cluster.
These mechanisms are explained the Discovery Mechanisms section. This section describes all the sub-elements and attributes of join element.
The multicast element includes parameters to fine tune the multicast join mechanism. Specify it when you want to create clusters within the same network.
Values can be between See more information here. For example, if you set it as 60 seconds, each member waits for 60 seconds until a leader member is selected.
Its default value is 2 seconds. When a member wants to join to the cluster, its join request is rejected if it is not a trusted member. Values can be true or false. Cluster is only formed if the member with this IP address is found. Once members are connected to these well known ones, all member addresses are communicated with each other. You can also give comma separated IP addresses using the members element.
This is the maximum amount of time Hazelcast is going to try to connect to a well known member before giving up. Setting it to a too low value could mean that a member is not able to connect to a cluster. Setting it to a too high value means that member startup could slow down because of longer timeouts, for example when a well known member is not up.
Increasing this value is recommended if you have many IPs listed and the members cannot properly build up the cluster. Its default value is 5 seconds.
The aws element includes parameters to allow the members to form a cluster on the Amazon EC2 environment. Its default value is us-east You need to specify this if the region is other than the default one.
It is used to narrow the Hazelcast members to be within this group. It is optional. They are optional. Setting this value too low could mean that a member is not able to connect to a cluster. Setting the value too high means that member startup could slow down because of longer timeouts for example, when a well known member is not up.
The members need to be retrieved from that provider, e. The discovery-strategies element configures internal or external discovery strategies based on the Hazelcast Discovery SPI. For further information, see the Discovery SPI section and the vendor documentation of the used discovery strategy. It determines the private IP addresses of EC2 instances to be connected.
Give the AWSClient class the values for the parameters that you specified in the aws element, as shown below. You will see whether your EC2 instances are found. You can specify which network interfaces that Hazelcast should use.
Servers mostly have more than one network interface, so you may want to list the valid IPs. For instance, Interface If network interface configuration is enabled it is disabled by default and if Hazelcast cannot find a matching interface, then it prints a message on the console and does not start on that member. Hazelcast supports IPv6 addresses seamlessly This support is switched off by default, see the note at the end of this section.
All you need is to define IPv6 addresses or interfaces in the network configuration. Interfaces configuration does not have this limitation, you can configure wildcard IPv6 interfaces in the same way as IPv4 interfaces. JVM has two system properties for setting the preferred protocol stack IPv4 or IPv6 as well as the preferred address family types inet4 or inet6. On a dual stack machine, IPv6 stack is preferred by default, you can change this through the java.
You can change this through java. See also additional details on IPv6 support in Java. By default, Hazelcast chooses the public and bind address. You can influence on the choice by defining a public-address in the configuration or by using other properties mentioned above. In some cases, though, these properties are not enough and the default address picking strategy chooses wrong addresses.
This may be the case when deploying Hazelcast in some cloud environments, such as AWS, when using Docker or when the instance is deployed behind a NAT and the public-address property is not enough see the Public Address section. In these cases, it is possible to configure the bind and public address in a more advanced way.
You can provide an implementation of the com. MemberAddressProvider interface which provides the bind and public address. The implementation may then choose these addresses in any way – it may read from a system property or file or even invoke a web service to retrieve the public and private address.
The details of the implementation depend heavily on the environment in which Hazelcast is deployed. As such, we now demonstrate how to configure Hazelcast to use a simplified custom member address provider SPI implementation. An example implementation is shown below:. Note that if the bind address port is 0 then it uses a port as configured in the Hazelcast network configuration see the Port section. If the public address port is set to 0 then it broadcasts the same port that it is bound to.
If you wish to bind to any local interface, you may return new InetSocketAddress InetAddress null, port from the getBindAddress address. The following configuration examples contain properties that are provided to the constructor of the provider class. If you do not provide any properties, the class may have either a no-arg constructor or a constructor accepting a single java. Properties instance. On the other hand, if you do provide properties in the configuration, the class must have a constructor accepting a single java.
A failure detector is responsible to determine if a member in the cluster is unreachable or crashed. The most important problem in failure detection is to distinguish whether a member is still alive but slow or has crashed.
But according to the famous FLP result , it is impossible to distinguish a crashed member from a slow one in an asynchronous system. A workaround to this limitation is to use unreliable failure detectors. An unreliable failure detector allows a member to suspect that others have failed, usually based on liveness criteria but it can make mistakes to a certain degree.
This detector is by default disabled. Note that, Hazelcast also offers failure detectors for its Java client. See the Client Failure Detectors section for more information.
To use Deadline Failure Detector configuration property hazelcast. Phi Accrual Failure Detector keeps track of the intervals between heartbeats in a sliding window of time and measures the mean and variance of these samples and calculates a value of suspicion level Phi.
The value of phi increases when the period since the last heartbeat gets longer. If the network becomes slow or unreliable, the resulting mean and variance increase, there needs to be a longer period for which no heartbeat is received before the member is suspected. The hazelcast. Since Phi Accrual Failure Detector is adaptive to network conditions, a much lower hazelcast.
In addition to the above two properties, Phi Accrual Failure Detector has the following configuration properties:. After calculated phi exceeds this threshold, a member is considered as unreachable and marked as suspected. Default phi threshold is Too low standard deviation might result in too much sensitivity.
To use Phi Accrual Failure Detector , configuration property hazelcast. It operates at Layer 3 of the OSI protocol and provides much quicker and more deterministic detection of hardware and other lower level events. This detector may be configured to perform an extra check after a member is suspected by one of the other detectors, or it can work in parallel, which is the default.
This way hardware and network level issues are detected more quickly. This failure detector is based on InetAddress. This is preferred. If there are not enough permissions, it can be configured to fallback on attempting a TCP Echo on port 7. In the latter case, both a successful connection or an explicit rejection is treated as “Host is Reachable”. Or, it can be forced to use only RAW sockets. This is not preferred as each call creates a heavy weight socket and moreover the Echo service is typically disabled.
Supported OS: as of Java 1. This detector relies on ICMP, i. It tries to issue the ping attempts periodically, and their responses are used to determine the reachability of the remote member. Most operating systems allow this to the root users, however Unix based ones are more flexible and allow the use of custom privileges per process instead of requiring root access.
Therefore, this detector is supported only on Linux. As described in the above requirement, on Linux, you have the ability to define extra capabilities to a single process, which would allow the process to interact with the RAW sockets. To enable this capability run the following command:. When running with custom capabilities, the dynamic linker on Linux rejects loading the libs from untrusted paths. Run the following command:.
An example is shown below:. Its default value is false. Its default value is milliseconds. Its default value is 2. Its default value is 0. Failure is usually due to OS level restrictions. In the above example configuration, the Ping detector attempts 3 pings, one every second and waits up to 1 second for each to complete.
If after 3 seconds, there was no successful ping, the member gets suspected. To enforce the Requirements , the property hazelcast. Below is a summary table of all possible configuration combinations of the ping failure detector. Legacy ping mode. This works hand-to-hand with the OSI Layer 7 failure detector see.
Ping in this mode only kicks in after a period when there are no heartbeats received, in which case the remote Hazelcast member is pinged up to a configurable count of attempts. If all those attempts fail, the member gets suspected.
You can configure this attempt count using the max-attempts configuration element listed above. Parallel ping detector, works in parallel with the configured failure detector. Checks periodically if members are live OSI Layer 3 and suspects them immediately, regardless of the other detectors. With the default configuration, Hazelcast members use a single server socket for all kinds of connections: cluster members, Hazelcast clients implementing the Open Binary Client Protocol and HTTP protocol clients connect to a single server socket that handles all the protocols.
You can also configure the Hazelcast members with separate server sockets using a different network configuration for different protocols. This configuration scheme allows more flexibility when deploying Hazelcast as described in the following cases:. For security, it is possible to bind the member protocol server socket on a protected internal network interface, while the client connections can be established on another network interface accessible by the Hazelcast clients.
Different kinds of network connections can be established with different socket options. In the following example we introduce the advanced network configuration for a member to listen for member-to-member connections on the default port while listening for client connections on the port :.
Running this example prints something similar to the following output, indicating that the member listens for the specified protocols on the respective configured ports:. You cannot define both elements in the declarative configuration, i. In the programmatic configuration, an enabled AdvancedNetworkConfig takes precedence over the NetworkConfig. AdvancedNetworkConfig is disabled by default, therefore the unisocket member configuration under NetworkConfig is used in the default case.
When using the advanced network configuration, the following configurations are defined member-wide:. In addition to the above, the advanced network configuration allows the configuration of multiple endpoints: each endpoint configuration applies for a specific protocol, e. An additional optional identifier can be configured to separate the configuration of multiple WAN protocol endpoints. The default advanced network configuration defines a member endpoint configuration listening on port same as the single-socket Hazelcast member configuration.
If no such endpoint is configured, then the clients will not be able to connect to the Hazelcast member. WAN : Multiple WAN endpoint configurations can be defined to determine the network settings of outgoing connections from the members of a source cluster to the target WAN cluster members or to establish server sockets on which a target WAN member can listen for the incoming connections from the source cluster.
The server socket endpoint configuration is common for all protocols. The elements comprising a server socket endpoint configuration are identical to their single-socket network configuration counterparts.
The following declarative configuration example includes all the common server socket endpoint elements:. When using the declarative configuration, specific element names introduce the server socket endpoint configuration for each protocol:.
When using the programmatic configuration, corresponding methods set the respective server socket endpoint configuration:. Multiple WAN endpoint configurations can be defined to configure the outgoing connections and server sockets, depending on the role of the member in the WAN replication.
The configuration examples are provided in the following sections for both active and passive side of the WAN replication. The members on the active cluster initiate connections to the target cluster members, so there is no need to create a server socket.
A plain EndpointConfig is created that supplies the configuration for the client side of connections that the active members will create:. The wan-endpoint-config element contains the same sub-elements as the member-server-socket-endpoint-config element described above except port , public-address and reuse-address. On the passive cluster, a server socket is configured on the members to listen for the incoming WAN connections, matching the network configuration SSL configuration, etc.
Can I multiplex protocols on a single advanced network endpoint? No, each endpoint configuration that defines a server socket must bind to a different socket address. You can only configure multiple server socket endpoints for WAN protocol. This chapter explains the procedure of upgrading the version of Hazelcast members in a running cluster without interrupting the operation of the cluster.
Patch version : A version change after the second decimal point, e. Member codebase version : The major. For example, when running on hazelcast Cluster version : The major. This ensures that cluster members are able to communicate using the same cluster protocol and determines the feature set exposed by the cluster. Hazelcast members operating on binaries of the same major and minor version numbers are compatible regardless of patch version. For example, in a cluster with members running on version 3.
The compatibility guarantees described above are given in the context of rolling member upgrades and only apply to GA general availability releases. It is never advisable to run a cluster with members running on different patch or minor versions for prolonged periods of time.
The rolling upgrade process for this cluster, i. Wait until all partition migrations are completed; during migrations, membership changes member joins or removals are not allowed. Start the member and wait until it joins the cluster.
You should see something like the following in your logs:. The version in brackets [3. Once the member locates the existing cluster members, it sends its join request to the master. The master validates that the new member is allowed to join the cluster and lets the new member know that the cluster is currently operating at 3. The new member sets 3. At this point all members of the cluster have been upgraded to codebase version 3. In order to use 3.
Using Management Center. Also note that you need to upgrade your Management Center version before upgrading the member version if you want to change the cluster version using Management Center. Management Center is compatible with the previous minor version of Hazelcast. For example, Management Center 3.
To change your cluster version to 3. The cluster can automatically upgrade its version. As soon as it detects that all its members have a version higher than the current cluster version, it upgrades the cluster version to match it.
This feature is disabled by default. To enable it, set the system property hazelcast. To avoid this, you can use the hazelcast. You should set it to the size of your cluster, and then Hazelcast will wait for the last member to join before it can proceed with the auto-upgrade. In the event of network partitions which split your cluster into two subclusters, split-brain handling works as explained in the Network Partitioning chapter , with the additional constraint that two subclusters only merge as long as they operate on the same cluster version.
This is a requirement to ensure that all members participating in each one of the subclusters are able to operate as members of the merged cluster at the same cluster version. With regards to rolling upgrades, the above constraint implies that if a network partition occurs while a change of cluster version is in progress, then with some unlucky timing, one subcluster may be upgraded to the new cluster version and another subcluster may have upgraded members but still operate at the old cluster version.
In order for the two subclusters to merge, it is necessary to change the cluster version of the subcluster that still operates on the old cluster version, so that both subclusters will be operating at the same, upgraded cluster version and able to merge as soon as the network partition is fixed. The following provide answers to the frequently asked questions related to rolling member upgrades.
When a new member starts, it is not yet joined to a cluster; therefore its cluster version is still undetermined. In order for the cluster version to be set, one of the following must happen:. So a standalone member running on codebase version 3. If it is found to be compatible, then the member joins and the master sends the cluster version, which is set on the joining member.
Otherwise, the starting member fails to join and shuts down. What if a new Hazelcast minor version changes fundamental cluster protocol communication, like join messages? On startup, as answered in the above question How is the cluster version set? By default the newly started member uses the cluster protocol that corresponds to its codebase version until this member joins a cluster so for codebase 3.
Thus older client versions are compatible with next minor versions. Newer clients connected to a cluster operate at the lower version of capabilities until all members are upgraded and the cluster version upgrade occurs.
It is not recommended due to potential network partitions. It is advised to always stop and start one member in each upgrade step. Can I upgrade my business app together with Hazelcast while doing a rolling member upgrade?
Yes, but make sure to make the new version of your app compatible with the old one since there will be a timespan when both versions interoperate. Checking if two versions of your app are compatible includes verifying binary and algorithmic compatibility and some other steps.
It is worth mentioning that a business app upgrade is orthogonal to a rolling member upgrade. A rolling business app upgrade may be done without upgrading the members. As mentioned in the Overview section , Hazelcast offers distributed implementations of many common data structures. For each of the client languages, Hazelcast mimics as closely as possible the natural interface of the structure.
So, for example in Java, the map follows java. Map semantics. All of these structures are usable from Java,. Map is the distributed implementation of java. It lets you read from and write to a Hazelcast map with methods such as get and put. Queue is the distributed implementation of java. You can add an item in one member and remove it from another one.
Set is the distributed and concurrent implementation of java. It does not allow duplicate elements and does not preserve their order. List is similar to Hazelcast Set. The only difference is that it allows duplicate elements and preserves their order. Multimap is a specialized Hazelcast map. It is a distributed data structure where you can store multiple values for a single key. Replicated Map does not partition data.
It does not spread data to different cluster members. Instead, it replicates the data to all members. Topic is the distributed mechanism for publishing messages that are delivered to multiple subscribers. See the Topic section for more information. Hazelcast also has a structure called Reliable Topic which uses the same interface of Hazelcast Topic. The difference is that it is backed up by the Ringbuffer data structure. See the Reliable Topic section.
FencedLock is the distributed implementation of java. When you use lock, the critical section that Hazelcast Lock guards is guaranteed to be executed by only one thread in the entire cluster. ISemaphore is the distributed implementation of java.
When performing concurrent activities, semaphores offer permits to control the thread counts. IAtomicLong is the distributed implementation of java. However, these operations involve remote calls and hence their performances differ from AtomicLong, due to being distributed. IAtomicReference is the distributed implementation of java. When you need to deal with a reference in a distributed environment, you can use Hazelcast IAtomicReference.
FlakeIdGenerator is used to generate cluster-wide unique identifiers. ICountdownLatch is the distributed implementation of java. Hazelcast CountDownLatch is a gate keeper for concurrent activities.
It enables the threads to wait for other threads to complete their operations. PN counter is a distributed data structure where each Hazelcast instance can increment and decrement the counter value and these updates are propagated to all replicas.
Event Journal is a distributed data structure that stores the history of mutation actions on map or cache. Data structures where each partition stores a part of the instance, namely partitioned data structures.
Data structures where a single partition stores the whole instance, namely non-partitioned data structures. Besides these, Hazelcast also offers the Replicated Map structure as explained in the above Standard utility collections list. Hazelcast offers a get method for most of its distributed objects. To load an object, first create a Hazelcast instance and then use the related get method on this instance. Following example code snippet creates an Hazelcast instance and a map on this instance.
As to the configuration of distributed object, Hazelcast uses the default settings from the file hazelcast. Of course, you can provide an explicit configuration in this XML or programmatically according to your needs. See the Understanding Configuration section. If you want to use an object you loaded in other places, you can safely reload it using its reference without creating a new Hazelcast instance customers in the above example.
To destroy a Hazelcast distributed object, you can use the method destroy. This method clears and releases all resources of the object. Therefore, you must use it with care since a reload with the same object reference after the object is destroyed creates a new data structure without an error. See the following example code where one of the queues are destroyed and the other one is accessed. Hazelcast is designed to create any distributed data structure whenever it is accessed, i.
Therefore, keep in mind that a data structure is recreated when you perform an operation on it even after you have destroyed it. Hazelcast uses the name of a distributed object to determine which partition it will be put. Since these queues have different names, they will be placed into different partitions.
If you want to put these two into the same partition, you use the symbol as shown below:. Now, these two queues will be put into the same partition whose partition key is foo.
Note that you can use the method getPartitionKey to learn the partition key of a distributed object. It may be useful when you want to create an object in the same partition of an existing object. See its usage as shown below:. If a member goes down, its backup replica which holds the same data dynamically redistributes the data, including the ownership and locks on them, to the remaining live members.
As a result, there will not be any data loss. There is no single cluster master that can be a single point of failure. Every member in the cluster has equal rights and responsibilities. No single member is superior. There is no dependency on an external ‘server’ or ‘master’. Here is an example of how you can retrieve existing data structure instances map, queue, set, topic, etc.
Hazelcast Map IMap extends the interface java. ConcurrentMap and hence java. It is the distributed implementation of Java map. Hazelcast partitions your map entries and their backups, and almost evenly distribute them onto all Hazelcast members. For example, if you have a member with objects to be stored in the cluster and then you start a second member, each member will both store objects and back up the objects in the other member.
Use the HazelcastInstance getMap method to get the map, then use the map put method to put an entry into the map. When you run this code, a cluster member is created with a map whose entries are distributed across the members’ partitions.
See the below illustration. For now, this is a single member cluster. This creates a cluster with two members. This is also where backups of entries are created – remember the backup partitions mentioned in the Hazelcast Overview section.
The following illustration shows two members and how the data and its backup is distributed. As you see, when a new member joins the cluster, it takes ownership and loads some of the data in the cluster. IMap which extends the java. ConcurrentMap interface.
Methods like ConcurrentMap. All ConcurrentMap operations such as put and remove might wait if the key is locked by another thread in the local or remote JVM. But, they will eventually return with success. ConcurrentMap operations never throw a java. Hazelcast distributes map entries onto multiple cluster members JVMs. Each member holds some portion of the data. Distributed maps have one backup by default.
If a member goes down, your data is recovered using the backups in the cluster. There are two types of backups as described below: sync and async. To provide data safety, Hazelcast allows you to specify the number of backup copies you want to have.
That way, data on a cluster member is copied onto other member s. To create synchronous backups, select the number of backup copies using the backup-count property. When this count is 1, a map entry will have its backup on one other member in the cluster.
If you set it to 2, then a map entry will have its backup on two other members. You can set it to 0 if you do not want your entries to be backed up, e. The maximum value for the backup count is 6. Hazelcast supports both synchronous and asynchronous backups. By default, backup operations are synchronous and configured with backup-count. In this case, backup operations block operations until backups are successfully copied to backup members or deleted from backup members in case of remove and acknowledgements are received.
Therefore, backups are updated before a write put, set, remove and their async counterparts operation is completed, provided that the cluster is stable.
Sync backup operations have a blocking cost which may lead to latency issues. Asynchronous backups, on the other hand, do not block operations. To create asynchronous backups, select the number of async backups with the async-backup-count property. An example is shown below. See Consistency and Replication Model for more detail.
Hazelcast 4.0 free.Hazelcast Editions and Distributions
Hazelcast offers a free pricing plan as well as two paid plans that allow you to configure the amount of resources each cluster has, depending on your budget. Cost is calculated based on your hazelcast 4.0 free memory. If you create a cluster with hazelcast 4.0 free GB capacity but do not insert any hazelcast 4.0 free into it, your cost hazelcast 4.0 free still be calculated according to 10 GB because this amount of memory was reserved for your use.
On the Your Clusters page, clusters are categorized as either dedicated or shared. Shared clusters are those on the Standard or Basic plans. These clusters are called shared because they share cloud instances, but they are isolated in different Kubernetes deployments. Dedicated clusters are those on the Enterprise plan because they have their own dedicated cloud instances, and different clusters never share the same instance.
This example shows the cost per month of three clusters that each have a different memory смотрите подробнее and uptime:. Clusters on the Enterprise plan incur additional charges for data transfer costs and any snapshot storage costs. If you enable backup snapshots on a cluster, we store those snapshots in cloud screen keyboard free download, which comes with additional costs.
Snapshot storage costs depend on the cloud providers cost of storing the backup snapshots in their object store such as S3 on AWS. Hazelcast 4.0 free offers custom pricing plans. To discuss a custom plan, contact us at sales hazelcast. Cloud Get Started Plans and Pricing Plans and Pricing Hazelcast offers a free pricing plan as hazelcast 4.0 free as two paid plans that allow you to configure the amount of resources each cluster has, depending on your budget.
Hazelcast Cloud Plans Hazelcast Cloud has three plans. Depends on the size of the chosen cloud instance. Data transfer and snapshot storage. How the Cost is Calculated Cost is calculated based on your provisioned memory.
Shared vs Dedicated On the Your Clusters page, clusters are categorized as either dedicated or shared. Hazelcast 4.0 free Charges for Standard Clusters This example shows the cost per month of three clusters that each have a different memory capacity and uptime:.
Additional Charges for Enterprise Plans Clusters on the Enterprise plan incur additional charges for data transfer costs and any snapshot storage costs. Data Transfer Pricing Data transfer costs account for the volume of data going into, out of, and within your clusters. Your data hazelcast 4.0 free charges are aggregated over the читать далее and added hazelcast 4.0 free your monthly bill.
Snapshot Storage Pricing If you enable backup snapshots on a cluster, we store those snapshots in cloud storage, which comes with additional costs. Custom Plans Hazelcast offers custom pricing plans. Next Steps Track your usage and current billing total by managing your billing and payment information.
Hazelcast 4.0 free –
This option is the easiest way for Maven users typically Java developers , especially appropriate for the embedded mode when Hazelcast is tightly coupled with the application. You can find Hazelcast in standard Maven repositories. If your project uses Maven, you do not need to add additional repositories to your pom.
Just add the following lines to your pom. Above dependencies hazelcast and hazelcast-enterprise include both member and Java client libraries of Hazelcast. A separate Java client module and dependency do not exist. This option provides the most flexibility and all the tooling, but takes a little longer to install. Hazelcast is also the name of the company Hazelcast, Inc.
For more detailed information on licensing, see the License Questions appendix. Hazelcast is a registered trademark of Hazelcast, Inc. All other trademarks in this manual are held by their respective owners. See the following resources:. Developing with Git : Document that explains the branch mechanism of Hazelcast and how to request changes.
ClassCastException: class com. HazelcastInstanceProxy cannot be cast to class com. HazelcastClientInstanceImpl com. HazelcastInstanceProxy and com. HazelcastClientInstanceImpl are in unnamed module of loader ‘app’ at com. All reactions. SledgeHammer01 added the Type: Defect label Jul 16, Sign up for free to join this conversation on GitHub.
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