/** {@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();
    }
  /** {@inheritDoc} */
  @Override
  public Map<? extends GridComputeJob, GridNode> map(List<GridNode> subgrid, Integer arg)
      throws GridException {
    assert taskSes != null;
    assert arg != null;
    assert arg > 0;

    Map<GridSessionLoadTestJob, GridNode> map = new HashMap<>(subgrid.size());

    Iterator<GridNode> iter = subgrid.iterator();

    Random rnd = new Random();

    params = new HashMap<>(arg);

    Collection<UUID> assigned = new ArrayList<>(subgrid.size());

    for (int i = 0; i < arg; i++) {
      // Recycle iterator.
      if (!iter.hasNext()) iter = subgrid.iterator();

      String paramName = UUID.randomUUID().toString();

      int paramVal = rnd.nextInt();

      taskSes.setAttribute(paramName, paramVal);

      GridNode node = iter.next();

      assigned.add(node.id());

      map.put(new GridSessionLoadTestJob(paramName), node);

      params.put(paramName, paramVal);

      if (log.isDebugEnabled())
        log.debug("Set session attribute [name=" + paramName + ", value=" + paramVal + ']');
    }

    taskSes.setAttribute("nodes", assigned);

    return map;
  }
  /** {@inheritDoc} */
  @SuppressWarnings("BusyWait")
  @Override
  public Boolean reduce(List<GridComputeJobResult> results) throws GridException {
    assert taskSes != null;
    assert results != null;
    assert params != null;
    assert !params.isEmpty();
    assert results.size() == params.size();

    Map<String, Integer> receivedParams = new HashMap<>();

    boolean allAttrReceived = false;

    int cnt = 0;

    while (!allAttrReceived && cnt++ < 3) {
      allAttrReceived = true;

      for (Map.Entry<String, Integer> entry : params.entrySet()) {
        assert taskSes.getAttribute(entry.getKey()) != null;

        Integer newVal = (Integer) taskSes.getAttribute(entry.getKey());

        assert newVal != null;

        receivedParams.put(entry.getKey(), newVal);

        if (newVal != entry.getValue() + 1) allAttrReceived = false;
      }

      if (!allAttrReceived) {
        try {
          Thread.sleep(100);
        } catch (InterruptedException e) {
          throw new GridException("Thread interrupted.", e);
        }
      }
    }

    if (log.isDebugEnabled()) {
      for (Map.Entry<String, Integer> entry : receivedParams.entrySet()) {
        log.debug(
            "Received session attr value [name="
                + entry.getKey()
                + ", val="
                + entry.getValue()
                + ", expected="
                + (params.get(entry.getKey()) + 1)
                + ']');
      }
    }

    return allAttrReceived;
  }
Exemplo n.º 4
0
    /** {@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);
  }