Uses of Interface
com.hazelcast.mapreduce.Context

Packages that use Context

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.impl.task	This package contains the base implementation for a standard map reduce job.

Uses of Context in com.hazelcast.mapreduce

Methods in com.hazelcast.mapreduce with parameters of type Context

void	LifecycleMapper.finalized(Context<KeyOut,ValueOut> context) This method is called after the Mapper.map(Object, Object, Context) method is executed for every value and can be used to finalize the internal state of the mapper or to emit a special value.
void	LifecycleMapperAdapter.finalized(Context<KeyOut,ValueOut> context) This method is called after the Mapper.map(Object, Object, Context) method is executed for every value and can be used to finalize the internal state of the mapper or to emit a special value.
void	LifecycleMapper.initialize(Context<KeyOut,ValueOut> context) This method is called before the Mapper.map(Object, Object, Context) method is executed for every value and can be used to initialize the internal state of the mapper or to emit a special value.
void	LifecycleMapperAdapter.initialize(Context<KeyOut,ValueOut> context) This method is called before the Mapper.map(Object, Object, Context) method is executed for every value and can be used to initialize the internal state of the mapper or to emit a special value.
void	Mapper.map(KeyIn key, ValueIn value, Context<KeyOut,ValueOut> context) The map method is called for every single key-value pair in the bound KeyValueSource instance on this cluster node and partition. Due to it's nature of a DataGrid Hazelcast distributes values all over the cluster and so this method is executed on multiple servers at the same time. If you want to know more about the implementation of MapReduce algorithms read the Google Whitepaper on MapReduce.
abstract void	LifecycleMapperAdapter.map(KeyIn key, ValueIn value, Context<KeyOut,ValueOut> context) The map method is called for every single key-value pair in the bound KeyValueSource instance on this cluster node and partition. Due to it's nature of a DataGrid Hazelcast distributes values all over the cluster and so this method is executed on multiple servers at the same time. If you want to know more about the implementation of MapReduce algorithms read the Google Whitepaper on MapReduce.

Uses of Context in com.hazelcast.mapreduce.impl.task

Classes in com.hazelcast.mapreduce.impl.task that implement Context

class

DefaultContext<KeyIn,ValueIn> This is the internal default implementation of a map reduce context mappers emit values to.

Methods in com.hazelcast.mapreduce.impl.task with parameters of type Context

void	KeyValueSourceMappingPhase.executeMappingPhase(KeyValueSource<KeyIn,ValueIn> keyValueSource, Mapper<KeyIn,ValueIn,KeyOut,ValueOut> mapper, Context<KeyOut,ValueOut> context)
protected abstract void	MappingPhase.executeMappingPhase(KeyValueSource<KeyIn,ValueIn> keyValueSource, Mapper<KeyIn,ValueIn,KeyOut,ValueOut> mapper, Context<KeyOut,ValueOut> context)