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tessl/maven-com-hazelcast--hazelcast

In-memory distributed computing platform for real-time stream processing and data storage with SQL capabilities

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tessl
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Public
Created
Last updated
Describes
mavenpkg:maven/com.hazelcast/hazelcast@5.5.x

To install, run

npx @tessl/cli install tessl/maven-com-hazelcast--hazelcast@5.5.0

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# Hazelcast Java Library

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**Hazelcast** is a comprehensive real-time data platform that provides distributed computing capabilities including in-memory data grids, stream processing, and SQL queries. It enables stateful and fault-tolerant data processing with low-latency access to distributed data structures.

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## Package Information

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```xml

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<dependency>

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<groupId>com.hazelcast</groupId>

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<artifactId>hazelcast</artifactId>

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<version>5.5.0</version>

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</dependency>

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```

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**Java Compatibility:** Java 8+

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**License:** Apache-2.0

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**Documentation:** https://docs.hazelcast.com/

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## Core Imports

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```java { .api }

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import com.hazelcast.core.Hazelcast;

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import com.hazelcast.core.HazelcastInstance;

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import com.hazelcast.map.IMap;

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import com.hazelcast.collection.IQueue;

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import com.hazelcast.client.HazelcastClient;

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import com.hazelcast.config.Config;

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import com.hazelcast.sql.SqlService;

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import com.hazelcast.jet.JetService;

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```

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## Basic Usage

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### Creating a Hazelcast Instance

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```java { .api }

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import com.hazelcast.core.Hazelcast;

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import com.hazelcast.core.HazelcastInstance;

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import com.hazelcast.config.Config;

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// Create with default configuration

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HazelcastInstance hz = Hazelcast.newHazelcastInstance();

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// Create with custom configuration

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Config config = new Config();

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config.setInstanceName("my-instance");

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HazelcastInstance hz = Hazelcast.newHazelcastInstance(config);

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// Client connection

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import com.hazelcast.client.HazelcastClient;

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import com.hazelcast.client.config.ClientConfig;

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ClientConfig clientConfig = new ClientConfig();

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clientConfig.getNetworkConfig().addAddress("127.0.0.1:5701");

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HazelcastInstance client = HazelcastClient.newHazelcastClient(clientConfig);

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// Bootstrapped instance for Jet jobs (works locally and in distributed mode)

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HazelcastInstance jetHz = Hazelcast.bootstrappedInstance();

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```

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### Working with Distributed Maps

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```java { .api }

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import com.hazelcast.map.IMap;

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import java.util.concurrent.TimeUnit;

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// Get distributed map

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IMap<String, String> map = hz.getMap("my-map");

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// Basic operations

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map.put("key1", "value1");

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map.put("key2", "value2", 30, TimeUnit.SECONDS); // with TTL

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String value = map.get("key1");

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boolean exists = map.containsKey("key1");

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// Atomic operations

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String oldValue = map.putIfAbsent("key3", "value3");

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boolean replaced = map.replace("key1", "value1", "new-value1");

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// Querying

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import com.hazelcast.query.Predicates;

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Collection<String> values = map.values(Predicates.like("name", "John%"));

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```

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### Working with Collections

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```java { .api }

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import com.hazelcast.collection.IQueue;

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import com.hazelcast.collection.IList;

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import com.hazelcast.collection.ISet;

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// Distributed queue

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IQueue<String> queue = hz.getQueue("my-queue");

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queue.offer("item1");

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String item = queue.poll();

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// Distributed list

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IList<String> list = hz.getList("my-list");

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list.add("element1");

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list.add("element2");

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// Distributed set

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ISet<String> set = hz.getSet("my-set");

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set.add("unique-element");

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```

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## Architecture

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Hazelcast provides a distributed architecture with several key components:

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### Cluster Management

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- **Members**: Server nodes that store data and execute operations

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- **Clients**: Lightweight connections that access cluster data

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- **Partitioning**: Automatic data distribution across cluster members

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- **Discovery**: Multiple mechanisms for cluster formation (TCP/IP, multicast, cloud)

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### Data Distribution

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- **Partitioned Storage**: Data automatically distributed across cluster

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- **Replication**: Configurable backup copies for fault tolerance

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- **Near Cache**: Local caching for frequently accessed data

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- **Persistence**: Optional disk storage with MapStore integration

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### Processing Models

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- **Synchronous Operations**: Traditional request/response patterns

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- **Asynchronous Operations**: Non-blocking operations with callbacks

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- **Event-Driven**: Listeners for data and cluster changes

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- **Stream Processing**: Real-time data processing with Jet engine

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## Capabilities

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### Core API and Instance Management

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Basic instance creation, lifecycle management, and core distributed object access.

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```java { .api }

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import com.hazelcast.core.HazelcastInstance;

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import com.hazelcast.core.LifecycleService;

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import com.hazelcast.cluster.Cluster;

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// Instance lifecycle

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LifecycleService lifecycle = hz.getLifecycleService();

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boolean isRunning = lifecycle.isRunning();

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// Cluster access

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Cluster cluster = hz.getCluster();

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Set<Member> members = cluster.getMembers();

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// Graceful shutdown

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hz.shutdown();

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```

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[Core API and Instance Management](./core-api.md)

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### Distributed Data Structures

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Comprehensive collection of distributed data structures including maps, queues, lists, sets, and specialized structures.

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```java { .api }

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import com.hazelcast.map.IMap;

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import com.hazelcast.multimap.MultiMap;

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import com.hazelcast.replicatedmap.ReplicatedMap;

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import com.hazelcast.ringbuffer.Ringbuffer;

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// Various data structures

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IMap<String, Object> distributedMap = hz.getMap("cache");

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MultiMap<String, String> multiMap = hz.getMultiMap("categories");

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ReplicatedMap<String, String> replicatedMap = hz.getReplicatedMap("config");

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Ringbuffer<String> ringBuffer = hz.getRingbuffer("events");

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```

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[Distributed Data Structures](./data-structures.md)

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### Stream Processing (Jet)

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High-performance stream and batch processing engine built into Hazelcast.

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```java { .api }

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import com.hazelcast.jet.JetService;

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import com.hazelcast.jet.pipeline.Pipeline;

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import com.hazelcast.jet.pipeline.Sinks;

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import com.hazelcast.jet.pipeline.Sources;

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JetService jet = hz.getJet();

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Pipeline pipeline = Pipeline.create();

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pipeline.readFrom(Sources.map("source-map"))

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.filter(entry -> entry.getValue().toString().length() > 5)

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.writeTo(Sinks.map("result-map"));

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Job job = jet.newJob(pipeline);

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```

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[Stream Processing](./stream-processing.md)

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### SQL Queries

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Distributed SQL engine for querying data across the cluster with standard SQL syntax.

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```java { .api }

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import com.hazelcast.sql.SqlService;

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import com.hazelcast.sql.SqlResult;

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import com.hazelcast.sql.SqlRow;

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SqlService sql = hz.getSql();

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// Execute query

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SqlResult result = sql.execute("SELECT name, age FROM person WHERE age > ?", 25);

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// Process results

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for (SqlRow row : result) {

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String name = row.getObject("name");

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Integer age = row.getObject("age");

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System.out.println(name + ": " + age);

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}

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```

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[SQL Queries](./sql-service.md)

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### Cluster Management

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Cluster membership, discovery, state management, and distributed coordination.

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```java { .api }

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import com.hazelcast.cluster.Cluster;

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import com.hazelcast.cluster.Member;

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import com.hazelcast.cluster.MembershipListener;

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import com.hazelcast.partition.PartitionService;

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// Cluster operations

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Cluster cluster = hz.getCluster();

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cluster.addMembershipListener(new MembershipListener() {

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public void memberAdded(MembershipEvent membershipEvent) {

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System.out.println("Member added: " + membershipEvent.getMember());

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}

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// ... other methods

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});

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// Partition information

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PartitionService partitionService = hz.getPartitionService();

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Partition partition = partitionService.getPartition("my-key");

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```

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[Cluster Management](./cluster-management.md)

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### Configuration

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Comprehensive configuration system supporting programmatic, XML, and YAML configuration.

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```java { .api }

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import com.hazelcast.config.Config;

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import com.hazelcast.config.MapConfig;

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import com.hazelcast.config.NetworkConfig;

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import com.hazelcast.config.JoinConfig;

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Config config = new Config();

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// Map configuration

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MapConfig mapConfig = new MapConfig("my-map");

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mapConfig.setBackupCount(2);

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mapConfig.setTimeToLiveSeconds(300);

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config.addMapConfig(mapConfig);

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// Network configuration

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NetworkConfig network = config.getNetworkConfig();

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network.setPort(5701);

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JoinConfig join = network.getJoin();

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join.getMulticastConfig().setEnabled(false);

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join.getTcpIpConfig().setEnabled(true).addMember("192.168.1.100");

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```

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[Configuration](./configuration.md)

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## Key Features

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- **High Performance**: In-memory storage with microsecond latencies

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- **Horizontal Scaling**: Linear scale-out across commodity hardware

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- **Fault Tolerance**: Automatic failover and data recovery

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- **ACID Compliance**: Transactions and consistency guarantees

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- **Standard Integration**: JCache (JSR-107), Spring, CDI support

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- **Cloud Native**: Kubernetes operator and cloud discovery

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- **Security**: Authentication, authorization, TLS encryption

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- **Monitoring**: JMX metrics and management center integration