/** {@inheritDoc} */
@Override
public Serializable reduce(List<GridComputeJobResult> results) throws GridException {
if (log.isInfoEnabled()) log.info("Reducing job [job=" + this + ", results=" + results + ']');
if (results.size() > 1) fail();
return results.get(0).getData();
}
/**
* Increases priority if job has bumped down.
*
* @param waitJobs Ordered collection of collision contexts for jobs that are currently waiting
* for execution.
* @param passiveJobs Reordered collection of collision contexts for waiting jobs.
*/
private void bumpPriority(
Collection<GridCollisionJobContext> waitJobs, List<GridCollisionJobContext> passiveJobs) {
assert waitJobs != null;
assert passiveJobs != null;
assert waitJobs.size() == passiveJobs.size();
for (int i = 0; i < passiveJobs.size(); i++) {
GridCollisionJobContext ctx = passiveJobs.get(i);
if (i > indexOf(waitJobs, ctx))
ctx.getJobContext().setAttribute(jobAttrKey, getJobPriority(ctx) + starvationInc);
}
}
/** {@inheritDoc} */
@Override
public void onCollision(
Collection<GridCollisionJobContext> waitJobs,
Collection<GridCollisionJobContext> activeJobs) {
assert waitJobs != null;
assert activeJobs != null;
int activeSize = F.size(activeJobs, RUNNING_JOBS);
waitingCnt.set(waitJobs.size());
runningCnt.set(activeSize);
heldCnt.set(activeJobs.size() - activeSize);
int waitSize = waitJobs.size();
int activateCnt = parallelJobsNum - activeSize;
if (activateCnt > 0 && !waitJobs.isEmpty()) {
if (waitJobs.size() <= activateCnt) {
for (GridCollisionJobContext waitJob : waitJobs) {
waitJob.activate();
waitSize--;
}
} else {
List<GridCollisionJobContext> passiveList =
new ArrayList<GridCollisionJobContext>(waitJobs);
Collections.sort(
passiveList,
new Comparator<GridCollisionJobContext>() {
/** {@inheritDoc} */
@Override
public int compare(GridCollisionJobContext o1, GridCollisionJobContext o2) {
int p1 = getJobPriority(o1);
int p2 = getJobPriority(o2);
return p1 < p2 ? 1 : p1 == p2 ? 0 : -1;
}
});
if (preventStarvation) bumpPriority(waitJobs, passiveList);
for (int i = 0; i < activateCnt; i++) {
passiveList.get(i).activate();
waitSize--;
}
}
}
if (waitSize > waitJobsNum) {
List<GridCollisionJobContext> waitList = new ArrayList<GridCollisionJobContext>(waitJobs);
// Put jobs with highest priority first.
Collections.sort(
waitList,
new Comparator<GridCollisionJobContext>() {
/** {@inheritDoc} */
@Override
public int compare(GridCollisionJobContext o1, GridCollisionJobContext o2) {
int p1 = getJobPriority(o1);
int p2 = getJobPriority(o2);
return p1 < p2 ? 1 : p1 == p2 ? 0 : -1;
}
});
int skip = waitJobs.size() - waitSize;
int i = 0;
for (GridCollisionJobContext waitCtx : waitList) {
if (++i >= skip) {
waitCtx.cancel();
if (--waitSize <= waitJobsNum) break;
}
}
}
}
/**
* Performs flush.
*
* @throws GridException If failed.
*/
private void doFlush() throws GridException {
lastFlushTime = U.currentTimeMillis();
List<GridFuture> activeFuts0 = null;
int doneCnt = 0;
for (GridFuture<?> f : activeFuts) {
if (!f.isDone()) {
if (activeFuts0 == null) activeFuts0 = new ArrayList<>((int) (activeFuts.size() * 1.2));
activeFuts0.add(f);
} else {
f.get();
doneCnt++;
}
}
if (activeFuts0 == null || activeFuts0.isEmpty()) return;
while (true) {
Queue<GridFuture<?>> q = null;
for (Buffer buf : bufMappings.values()) {
GridFuture<?> flushFut = buf.flush();
if (flushFut != null) {
if (q == null) q = new ArrayDeque<>(bufMappings.size() * 2);
q.add(flushFut);
}
}
if (q != null) {
assert !q.isEmpty();
boolean err = false;
for (GridFuture fut = q.poll(); fut != null; fut = q.poll()) {
try {
fut.get();
} catch (GridException e) {
if (log.isDebugEnabled()) log.debug("Failed to flush buffer: " + e);
err = true;
}
}
if (err)
// Remaps needed - flush buffers.
continue;
}
doneCnt = 0;
for (int i = 0; i < activeFuts0.size(); i++) {
GridFuture f = activeFuts0.get(i);
if (f == null) doneCnt++;
else if (f.isDone()) {
f.get();
doneCnt++;
activeFuts0.set(i, null);
} else break;
}
if (doneCnt == activeFuts0.size()) return;
}
}
/** {@inheritDoc} */
@Override
public String reduce(List<GridComputeJobResult> results) throws GridException {
assert results.size() == 1;
return results.get(0).getData();
}
/**
* 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);
}