public class GridifyDefaultTask extends ComputeTaskAdapter<GridifyArgument,Object> implements org.apache.ignite.internal.util.lang.GridPeerDeployAware
See Gridify
documentation for more information about execution of
gridified
methods.
Gridify
,
Serialized FormConstructor and Description |
---|
GridifyDefaultTask(Class<?> cls)
Creates gridify default task with given deployment class.
|
Modifier and Type | Method and Description |
---|---|
ClassLoader |
classLoader()
Gets class loader for the class.
|
Class<?> |
deployClass()
Gets top level user class being deployed.
|
@NotNull Map<? extends ComputeJob,ClusterNode> |
map(List<ClusterNode> subgrid,
GridifyArgument arg)
This method is called to map or split grid task into multiple grid jobs.
|
Object |
reduce(List<ComputeJobResult> results)
Reduces (or aggregates) results received so far into one compound result to be returned to
caller via
ComputeTaskFuture.get() method. |
result
public GridifyDefaultTask(Class<?> cls)
cls
- Deployment class for peer-deployment.public Class<?> deployClass()
deployClass
in interface org.apache.ignite.internal.util.lang.GridPeerDeployAware
public ClassLoader classLoader()
GridPeerDeployAware.deployClass()
as well as all of its
dependencies.
Note that in most cases the class loader returned from this method
and the class loader for the class returned from GridPeerDeployAware.deployClass()
method
will be the same. If they are not the same, it is required that the class loader
returned from this method still has to be able to load the deploy class and all its
dependencies.
classLoader
in interface org.apache.ignite.internal.util.lang.GridPeerDeployAware
@NotNull public @NotNull Map<? extends ComputeJob,ClusterNode> map(List<ClusterNode> subgrid, GridifyArgument arg)
map
in interface ComputeTask<GridifyArgument,Object>
subgrid
- Nodes available for this task execution. Note that order of nodes is
guaranteed to be randomized by container. This ensures that every time
you simply iterate through grid nodes, the order of nodes will be random which
over time should result into all nodes being used equally.arg
- Task execution argument. Can be null
. This is the same argument
as the one passed into Grid#execute(...)
methods.ComputeTaskContinuousMapper
is
injected into task, if null
or empty map is returned, exception will be thrown to the user.public final Object reduce(List<ComputeJobResult> results)
ComputeTaskFuture.get()
method.
Note, that if some jobs did not succeed and could not be failed over then the list of results passed into this method will include the failed results. Otherwise, failed results will not be in the list.
reduce
in interface ComputeTask<GridifyArgument,Object>
results
- Received results of broadcasted remote executions. Note that if task class has
ComputeTaskNoResultCache
annotation, then this list will be empty.
GridGain In-Memory Computing Platform : ver. 8.9.15 Release Date : December 3 2024