Uses of Package
com.hazelcast.mapreduce

Packages that use com.hazelcast.mapreduce

com.hazelcast.client.impl	Contains most of the client side HazelcastInstance implementation functionality.
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

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.proxy

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

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 happen to loose processed data chunks that were already send to the reducers on the leaving node.
In addition to that on any topology change there is a redistribution of the member assigned partitions which means that a map job might have a problem to finish it's currently processed partition.
The default behavior is immediately cancelling the running task and throwing 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

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

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

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

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

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 like state of the different partitions and the number of currently processed records.
The number of processed records is not a real time value but updated on regular base (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 complexer algorithms with a need of 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 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 of reducing step.

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 happen to loose processed data chunks that were already send to the reducers on the leaving node.
In addition to that on any topology change there is a redistribution of the member assigned partitions which means that a map job might have a problem to finish it's currently processed partition.
The default behavior is immediately cancelling the running task and throwing 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

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 of reducing step.

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

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 of reducing step.

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

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
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

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 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 of reducing step.

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 happen to loose processed data chunks that were already send to the reducers on the leaving node.
In addition to that on any topology change there is a redistribution of the member assigned partitions which means that a map job might have a problem to finish it's currently processed partition.
The default behavior is immediately cancelling the running task and throwing 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

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 of reducing step.

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 happen to loose processed data chunks that were already send to the reducers on the leaving node.
In addition to that on any topology change there is a redistribution of the member assigned partitions which means that a map job might have a problem to finish it's currently processed partition.
The default behavior is immediately cancelling the running task and throwing 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

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 of reducing step.

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 happen to loose processed data chunks that were already send to the reducers on the leaving node.
In addition to that on any topology change there is a redistribution of the member assigned partitions which means that a map job might have a problem to finish it's currently processed partition.
The default behavior is immediately cancelling the running task and throwing 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

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 like state of the different partitions and the number of currently processed records.
The number of processed records is not a real time value but updated on regular base (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 of reducing step.

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 happen to loose processed data chunks that were already send to the reducers on the leaving node.
In addition to that on any topology change there is a redistribution of the member assigned partitions which means that a map job might have a problem to finish it's currently processed partition.
The default behavior is immediately cancelling the running task and throwing 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

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