Distributed Data Structures List

Hazelcast List is similar to Hazelcast Set, but Hazelcast List also allows duplicate elements.

• Besides allowing duplicate elements, Hazelcast List preserves the order of elements.
• Hazelcast List is a non-partitioned data structure where values and each backup are represented by their own single partition.
• Hazelcast List cannot be scaled beyond the capacity of a single machine.
• All items are copied to local and iteration occurs locally.

Getting a List and Putting Items

Use the HazelcastInstance getList method to get the list, then use the list put method to put items into the List.

import com.hazelcast.core.Hazelcast;
import java.util.List;
import java.util.Iterator;

HazelcastInstance hz = Hazelcast.newHazelcastInstance();

List<Price> list = hz.getList( "IBM-Quote-Frequency" );
list.add( new Price( 10 ) );
list.add( new Price( 11 ) );
list.add( new Price( 12 ) );
list.add( new Price( 11 ) );
list.add( new Price( 12 ) );
        
//....
Iterator<Price> iterator = list.iterator();
while ( iterator.hasNext() ) { 
  Price price = iterator.next(); 
  //analyze
}

Hazelcast List uses ItemListener to listen to events that occur when items are added to and removed from the List. Please refer to the Listening for Item Events section for information on how to create an item listener class and register it.

Configuring List

The following are example list configurations.

Declarative:

<list name="default">
   <backup-count>1</backup-count>
   <async-backup-count>0</async-backup-count>
   <max-size>10</max-size>
   <item-listeners>
      <item-listener>
          com.hazelcast.examples.ItemListener
      </item-listener>
   </item-listeners>
</list>

Programmatic:

Config config = new Config();
CollectionConfig collectionList = config.getListConfig();
collectionList.setName( "MyList" ).setBackupCount( "1" )
        .setMaxSize( "10" );

List configuration has the following elements.

• statistics-enabled: True (default) if statistics gathering is enabled on the list, false otherwise.
• backup-count: Number of synchronous backups. List is a non-partitioned data structure, so all entries of a List reside in one partition. When this parameter is '1', there will be one backup of that List in another member in the cluster. When it is '2', two members will have the backup.
• async-backup-count: Number of asynchronous backups.
• max-size: The maximum number of entries for this List.
• item-listeners: Lets you add listeners (listener classes) for the list items. You can also set the attribute include-value to true if you want the item event to contain the item values, and you can set the attribute local to true if you want to listen the items on the local member.