Uses of Package
com.hazelcast.mapreduce

Packages that use com.hazelcast.mapreduce

Package	Description
com.hazelcast.client.impl	Contains most of the client side HazelcastInstance implementation functionality.
com.hazelcast.client.impl.protocol.codec	Client protocol custom codec implementations
com.hazelcast.client.impl.protocol.task.mapreduce	Client protocol tasks implementations for map reduce
com.hazelcast.client.impl.protocol.template
com.hazelcast.client.proxy	This package contains client side proxy implementations of the different Hazelcast data structures and operation types
com.hazelcast.config	Provides classes for configuring HazelcastInstance.
com.hazelcast.core	Provides core API interfaces/classes.
com.hazelcast.instance	This package contains Hazelcast Instance functionality.
com.hazelcast.jca	This package contains jca functionality
com.hazelcast.map.impl.proxy	Contains map proxy implementation and support classes.
com.hazelcast.mapreduce	This package contains the MapReduce API definition for Hazelcast. All map reduce operations running in a distributed manner inside the active Hazelcast cluster.
com.hazelcast.mapreduce.aggregation	This package contains the aggregation API and the convenience helper classes to retrieve predefined aggregation implementations.
com.hazelcast.mapreduce.aggregation.impl	This package contains a set of predefined aggregation implementations
com.hazelcast.mapreduce.impl	This package contains the default implementation for the map reduce framework internals.
com.hazelcast.mapreduce.impl.client	This package contains request and response classes for communication between cluster members and Hazelcast native clients
com.hazelcast.mapreduce.impl.operation	This package contains all remote operations that are needed to control work on supervising or worker nodes.
com.hazelcast.mapreduce.impl.task	This package contains the base implementation for a standard map reduce job.
com.hazelcast.multimap.impl	Contains classes for Hazelcast MultiMap module.

Classes in com.hazelcast.mapreduce used by com.hazelcast.client.impl

Class and Description
JobTracker The JobTracker interface is used to create instances of Jobs depending on the given data structure / data source.

Classes in com.hazelcast.mapreduce used by com.hazelcast.client.impl.protocol.codec

Class and Description
JobPartitionState An implementation of this interface contains current information about the status of an process piece while operation is executing.

Classes in com.hazelcast.mapreduce used by com.hazelcast.client.impl.protocol.task.mapreduce

Class and Description
CombinerFactory A CombinerFactory implementation is used to build Combiner instances per key. An implementation needs to be serializable by Hazelcast since it is distributed together with the Mapper implementation to run alongside.
KeyPredicate This interface is used to pre-evaluate keys before spreading the MapReduce task to the cluster.
KeyValueSource The abstract KeyValueSource class is used to implement custom data sources for mapreduce algorithms. Default shipped implementations contains KeyValueSources for Hazelcast data structures like IMap and MultiMap.
Mapper The interface Mapper is used to build mappers for the Job.
ReducerFactory A ReducerFactory implementation is used to build Reducer instances per key. An implementation needs to be serializable by Hazelcast since it might be distributed inside the cluster to do parallel calculations for reducing.

Classes in com.hazelcast.mapreduce used by com.hazelcast.client.impl.protocol.template

Class and Description
JobPartitionState An implementation of this interface contains current information about the status of an process piece while operation is executing.

Classes in com.hazelcast.mapreduce used by com.hazelcast.client.proxy

Class and Description
Job This interface describes a mapreduce Job that is build by JobTracker.newJob(KeyValueSource). It is used to execute mappings and calculations on the different cluster nodes and reduce or collate these mapped values to results.
JobTracker The JobTracker interface is used to create instances of Jobs depending on the given data structure / data source.
KeyValueSource The abstract KeyValueSource class is used to implement custom data sources for mapreduce algorithms. Default shipped implementations contains KeyValueSources for Hazelcast data structures like IMap and MultiMap.
TrackableJob This interface describes a trackable job.

Classes in com.hazelcast.mapreduce used by com.hazelcast.config

Class and Description

TopologyChangedStrategy This enum class is used to define how a map reduce job behaves if the job owner recognizes a topology changed event. When members are leaving the cluster, it might lose processed data chunks that were already send to the reducers on the leaving node. Also, on any topology change, there is a redistribution of the member assigned partitions, which means that a map job might have a problem finishing its currently processed partition. The default behavior is to immediately cancel the running task and throw an TopologyChangedException, but it is possible to submit the same job configuration again if JobTracker.getTrackableJob(String) returns null for the requested job id.

Classes in com.hazelcast.mapreduce used by com.hazelcast.core

Class and Description
JobTracker The JobTracker interface is used to create instances of Jobs depending on the given data structure / data source.

Classes in com.hazelcast.mapreduce used by com.hazelcast.instance

Class and Description
JobTracker The JobTracker interface is used to create instances of Jobs depending on the given data structure / data source.

Classes in com.hazelcast.mapreduce used by com.hazelcast.jca

Class and Description
JobTracker The JobTracker interface is used to create instances of Jobs depending on the given data structure / data source.

Classes in com.hazelcast.mapreduce used by com.hazelcast.map.impl.proxy

Class and Description
JobTracker The JobTracker interface is used to create instances of Jobs depending on the given data structure / data source.

Classes in com.hazelcast.mapreduce used by com.hazelcast.mapreduce

Class and Description
Collator This interface can be implemented to define a Collator which is executed after calculation of the MapReduce algorithm on remote cluster nodes but before returning the final result. Collator can, for example, be used to sum up a final value.
Combiner The abstract Combiner class is used to build combiners for the Job. Those Combiners are distributed inside of the cluster and are running alongside the Mapper implementations in the same node. Combiners are called in a threadsafe way so internal locking is not required.
CombinerFactory A CombinerFactory implementation is used to build Combiner instances per key. An implementation needs to be serializable by Hazelcast since it is distributed together with the Mapper implementation to run alongside.
Context The Context interface is used for emitting keys and values to the intermediate working space of the MapReduce algorithm.
Job This interface describes a mapreduce Job that is build by JobTracker.newJob(KeyValueSource). It is used to execute mappings and calculations on the different cluster nodes and reduce or collate these mapped values to results.
JobCompletableFuture This is a special version of ICompletableFuture to return the assigned job id of the submit operation.
JobPartitionState An implementation of this interface contains current information about the status of an process piece while operation is executing.
JobPartitionState.State Definition of the processing states
JobProcessInformation This interface holds basic information about a running map reduce job, such as the state of the different partitions and the number of currently processed records. The number of processed records is not a real time value, it is updated on a regular basis (after 1000 processed elements per node).
JobTracker The JobTracker interface is used to create instances of Jobs depending on the given data structure / data source.
KeyPredicate This interface is used to pre-evaluate keys before spreading the MapReduce task to the cluster.
KeyValueSource The abstract KeyValueSource class is used to implement custom data sources for mapreduce algorithms. Default shipped implementations contains KeyValueSources for Hazelcast data structures like IMap and MultiMap.
LifecycleMapper The LifecycleMapper interface is a more sophisticated version of Mapper normally used for more complex algorithms with a need for initialization and finalization.
Mapper The interface Mapper is used to build mappers for the Job.
MappingJob This interface describes a mapping mapreduce Job. For further information see Job.
Reducer The abstract Reducer class is used to build reducers for the Job. Reducers may be distributed inside of the cluster but there is always only one Reducer per key.
ReducerFactory A ReducerFactory implementation is used to build Reducer instances per key. An implementation needs to be serializable by Hazelcast since it might be distributed inside the cluster to do parallel calculations for reducing.
ReducingJob This interface describes a reducing mapreduce Job. For further information Job.
ReducingSubmittableJob This interface describes a submittable mapreduce Job. For further information Job.
TopologyChangedStrategy This enum class is used to define how a map reduce job behaves if the job owner recognizes a topology changed event. When members are leaving the cluster, it might lose processed data chunks that were already send to the reducers on the leaving node. Also, on any topology change, there is a redistribution of the member assigned partitions, which means that a map job might have a problem finishing its currently processed partition. The default behavior is to immediately cancel the running task and throw an TopologyChangedException, but it is possible to submit the same job configuration again if JobTracker.getTrackableJob(String) returns null for the requested job id.
TrackableJob This interface describes a trackable job.

Classes in com.hazelcast.mapreduce used by com.hazelcast.mapreduce.aggregation

Class and Description
Collator This interface can be implemented to define a Collator which is executed after calculation of the MapReduce algorithm on remote cluster nodes but before returning the final result. Collator can, for example, be used to sum up a final value.
CombinerFactory A CombinerFactory implementation is used to build Combiner instances per key. An implementation needs to be serializable by Hazelcast since it is distributed together with the Mapper implementation to run alongside.
KeyPredicate This interface is used to pre-evaluate keys before spreading the MapReduce task to the cluster.
Mapper The interface Mapper is used to build mappers for the Job.
ReducerFactory A ReducerFactory implementation is used to build Reducer instances per key. An implementation needs to be serializable by Hazelcast since it might be distributed inside the cluster to do parallel calculations for reducing.

Classes in com.hazelcast.mapreduce used by com.hazelcast.mapreduce.aggregation.impl

Class and Description
Collator This interface can be implemented to define a Collator which is executed after calculation of the MapReduce algorithm on remote cluster nodes but before returning the final result. Collator can, for example, be used to sum up a final value.
CombinerFactory A CombinerFactory implementation is used to build Combiner instances per key. An implementation needs to be serializable by Hazelcast since it is distributed together with the Mapper implementation to run alongside.
KeyPredicate This interface is used to pre-evaluate keys before spreading the MapReduce task to the cluster.
Mapper The interface Mapper is used to build mappers for the Job.
ReducerFactory A ReducerFactory implementation is used to build Reducer instances per key. An implementation needs to be serializable by Hazelcast since it might be distributed inside the cluster to do parallel calculations for reducing.

Classes in com.hazelcast.mapreduce used by com.hazelcast.mapreduce.impl

Class and Description
Collator This interface can be implemented to define a Collator which is executed after calculation of the MapReduce algorithm on remote cluster nodes but before returning the final result. Collator can, for example, be used to sum up a final value.
CombinerFactory A CombinerFactory implementation is used to build Combiner instances per key. An implementation needs to be serializable by Hazelcast since it is distributed together with the Mapper implementation to run alongside.
Job This interface describes a mapreduce Job that is build by JobTracker.newJob(KeyValueSource). It is used to execute mappings and calculations on the different cluster nodes and reduce or collate these mapped values to results.
JobCompletableFuture This is a special version of ICompletableFuture to return the assigned job id of the submit operation.
JobPartitionState.State Definition of the processing states
JobTracker The JobTracker interface is used to create instances of Jobs depending on the given data structure / data source.
KeyPredicate This interface is used to pre-evaluate keys before spreading the MapReduce task to the cluster.
KeyValueSource The abstract KeyValueSource class is used to implement custom data sources for mapreduce algorithms. Default shipped implementations contains KeyValueSources for Hazelcast data structures like IMap and MultiMap.
Mapper The interface Mapper is used to build mappers for the Job.
MappingJob This interface describes a mapping mapreduce Job. For further information see Job.
PartitionIdAware This interface can be used to mark implementation being aware of the data partition it is currently working on.
ReducerFactory A ReducerFactory implementation is used to build Reducer instances per key. An implementation needs to be serializable by Hazelcast since it might be distributed inside the cluster to do parallel calculations for reducing.
ReducingJob This interface describes a reducing mapreduce Job. For further information Job.
ReducingSubmittableJob This interface describes a submittable mapreduce Job. For further information Job.
TopologyChangedStrategy This enum class is used to define how a map reduce job behaves if the job owner recognizes a topology changed event. When members are leaving the cluster, it might lose processed data chunks that were already send to the reducers on the leaving node. Also, on any topology change, there is a redistribution of the member assigned partitions, which means that a map job might have a problem finishing its currently processed partition. The default behavior is to immediately cancel the running task and throw an TopologyChangedException, but it is possible to submit the same job configuration again if JobTracker.getTrackableJob(String) returns null for the requested job id.

Classes in com.hazelcast.mapreduce used by com.hazelcast.mapreduce.impl.client

Class and Description
CombinerFactory A CombinerFactory implementation is used to build Combiner instances per key. An implementation needs to be serializable by Hazelcast since it is distributed together with the Mapper implementation to run alongside.
KeyPredicate This interface is used to pre-evaluate keys before spreading the MapReduce task to the cluster.
KeyValueSource The abstract KeyValueSource class is used to implement custom data sources for mapreduce algorithms. Default shipped implementations contains KeyValueSources for Hazelcast data structures like IMap and MultiMap.
Mapper The interface Mapper is used to build mappers for the Job.
ReducerFactory A ReducerFactory implementation is used to build Reducer instances per key. An implementation needs to be serializable by Hazelcast since it might be distributed inside the cluster to do parallel calculations for reducing.
TopologyChangedStrategy This enum class is used to define how a map reduce job behaves if the job owner recognizes a topology changed event. When members are leaving the cluster, it might lose processed data chunks that were already send to the reducers on the leaving node. Also, on any topology change, there is a redistribution of the member assigned partitions, which means that a map job might have a problem finishing its currently processed partition. The default behavior is to immediately cancel the running task and throw an TopologyChangedException, but it is possible to submit the same job configuration again if JobTracker.getTrackableJob(String) returns null for the requested job id.

Classes in com.hazelcast.mapreduce used by com.hazelcast.mapreduce.impl.operation

Class and Description
CombinerFactory A CombinerFactory implementation is used to build Combiner instances per key. An implementation needs to be serializable by Hazelcast since it is distributed together with the Mapper implementation to run alongside.
JobPartitionState.State Definition of the processing states
KeyPredicate This interface is used to pre-evaluate keys before spreading the MapReduce task to the cluster.
KeyValueSource The abstract KeyValueSource class is used to implement custom data sources for mapreduce algorithms. Default shipped implementations contains KeyValueSources for Hazelcast data structures like IMap and MultiMap.
Mapper The interface Mapper is used to build mappers for the Job.
ReducerFactory A ReducerFactory implementation is used to build Reducer instances per key. An implementation needs to be serializable by Hazelcast since it might be distributed inside the cluster to do parallel calculations for reducing.
TopologyChangedStrategy This enum class is used to define how a map reduce job behaves if the job owner recognizes a topology changed event. When members are leaving the cluster, it might lose processed data chunks that were already send to the reducers on the leaving node. Also, on any topology change, there is a redistribution of the member assigned partitions, which means that a map job might have a problem finishing its currently processed partition. The default behavior is to immediately cancel the running task and throw an TopologyChangedException, but it is possible to submit the same job configuration again if JobTracker.getTrackableJob(String) returns null for the requested job id.

Classes in com.hazelcast.mapreduce used by com.hazelcast.mapreduce.impl.task

Class and Description
Collator This interface can be implemented to define a Collator which is executed after calculation of the MapReduce algorithm on remote cluster nodes but before returning the final result. Collator can, for example, be used to sum up a final value.
Combiner The abstract Combiner class is used to build combiners for the Job. Those Combiners are distributed inside of the cluster and are running alongside the Mapper implementations in the same node. Combiners are called in a threadsafe way so internal locking is not required.
CombinerFactory A CombinerFactory implementation is used to build Combiner instances per key. An implementation needs to be serializable by Hazelcast since it is distributed together with the Mapper implementation to run alongside.
Context The Context interface is used for emitting keys and values to the intermediate working space of the MapReduce algorithm.
Job This interface describes a mapreduce Job that is build by JobTracker.newJob(KeyValueSource). It is used to execute mappings and calculations on the different cluster nodes and reduce or collate these mapped values to results.
JobCompletableFuture This is a special version of ICompletableFuture to return the assigned job id of the submit operation.
JobPartitionState An implementation of this interface contains current information about the status of an process piece while operation is executing.
JobPartitionState.State Definition of the processing states
JobProcessInformation This interface holds basic information about a running map reduce job, such as the state of the different partitions and the number of currently processed records. The number of processed records is not a real time value, it is updated on a regular basis (after 1000 processed elements per node).
JobTracker The JobTracker interface is used to create instances of Jobs depending on the given data structure / data source.
KeyPredicate This interface is used to pre-evaluate keys before spreading the MapReduce task to the cluster.
KeyValueSource The abstract KeyValueSource class is used to implement custom data sources for mapreduce algorithms. Default shipped implementations contains KeyValueSources for Hazelcast data structures like IMap and MultiMap.
Mapper The interface Mapper is used to build mappers for the Job.
Reducer The abstract Reducer class is used to build reducers for the Job. Reducers may be distributed inside of the cluster but there is always only one Reducer per key.
ReducerFactory A ReducerFactory implementation is used to build Reducer instances per key. An implementation needs to be serializable by Hazelcast since it might be distributed inside the cluster to do parallel calculations for reducing.
TopologyChangedStrategy This enum class is used to define how a map reduce job behaves if the job owner recognizes a topology changed event. When members are leaving the cluster, it might lose processed data chunks that were already send to the reducers on the leaving node. Also, on any topology change, there is a redistribution of the member assigned partitions, which means that a map job might have a problem finishing its currently processed partition. The default behavior is to immediately cancel the running task and throw an TopologyChangedException, but it is possible to submit the same job configuration again if JobTracker.getTrackableJob(String) returns null for the requested job id.
TrackableJob This interface describes a trackable job.

Classes in com.hazelcast.mapreduce used by com.hazelcast.multimap.impl

Class and Description
JobTracker The JobTracker interface is used to create instances of Jobs depending on the given data structure / data source.