/** {@inheritDoc} */
@Override
public GridDeployment getDeployment(final GridUuid ldrId) {
synchronized (mux) {
return F.find(
F.flat(cache.values()),
null,
new P1<SharedDeployment>() {
@Override
public boolean apply(SharedDeployment d) {
return d.classLoaderId().equals(ldrId);
}
});
}
}
/**
* This method is called to map or split grid task into multiple grid jobs. This is the first
* method that gets called when task execution starts.
*
* @param data Task execution argument. Can be {@code null}. This is the same argument as the one
* passed into {@code Grid#execute(...)} methods.
* @param 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.
* @return Map of grid jobs assigned to subgrid node. Unless {@link
* GridComputeTaskContinuousMapper} is injected into task, if {@code null} or empty map is
* returned, exception will be thrown.
* @throws GridException If mapping could not complete successfully. This exception will be thrown
* out of {@link GridComputeTaskFuture#get()} method.
*/
@Override
public Map<? extends GridComputeJob, GridNode> map(
List<GridNode> subgrid, @Nullable final Collection<Integer> data) throws GridException {
assert !subgrid.isEmpty();
// Give preference to wanted node. Otherwise, take the first one.
GridNode targetNode =
F.find(
subgrid,
subgrid.get(0),
new GridPredicate<GridNode>() {
@Override
public boolean apply(GridNode e) {
return preferredNode.equals(e.id());
}
});
return Collections.singletonMap(
new GridComputeJobAdapter() {
@GridLoggerResource private GridLogger log;
@GridInstanceResource private Grid grid;
@Override
public Object execute() throws GridException {
log.info("Going to put data: " + data.size());
GridCache<Object, Object> cache = grid.cache(cacheName);
assert cache != null;
Map<Integer, T2<Integer, Collection<Integer>>> putMap = groupData(data);
for (Map.Entry<Integer, T2<Integer, Collection<Integer>>> entry : putMap.entrySet()) {
T2<Integer, Collection<Integer>> pair = entry.getValue();
Object affKey = pair.get1();
// Group lock partition.
try (GridCacheTx tx =
cache.txStartPartition(
cache.affinity().partition(affKey),
optimistic ? OPTIMISTIC : PESSIMISTIC,
REPEATABLE_READ,
0,
pair.get2().size())) {
for (Integer val : pair.get2()) cache.put(val, val);
tx.commit();
}
}
log.info("Finished put data: " + data.size());
return data;
}
/**
* Groups values by partitions.
*
* @param data Data to put.
* @return Grouped map.
*/
private Map<Integer, T2<Integer, Collection<Integer>>> groupData(Iterable<Integer> data) {
GridCache<Object, Object> cache = grid.cache(cacheName);
Map<Integer, T2<Integer, Collection<Integer>>> res = new HashMap<>();
for (Integer val : data) {
int part = cache.affinity().partition(val);
T2<Integer, Collection<Integer>> tup = res.get(part);
if (tup == null) {
tup = new T2<Integer, Collection<Integer>>(val, new LinkedList<Integer>());
res.put(part, tup);
}
tup.get2().add(val);
}
return res;
}
},
targetNode);
}
