use of storm.trident.planner.PartitionNode in project storm by nathanmarz.
the class TridentTopology method getGroupParallelisms.
private static Map<Group, Integer> getGroupParallelisms(DirectedGraph<Node, IndexedEdge> graph, GraphGrouper grouper, Collection<Group> groups) {
UndirectedGraph<Group, Object> equivs = new Pseudograph<Group, Object>(Object.class);
for (Group g : groups) {
equivs.addVertex(g);
}
for (Group g : groups) {
for (PartitionNode n : externalGroupInputs(g)) {
if (isIdentityPartition(n)) {
Node parent = TridentUtils.getParent(graph, n);
Group parentGroup = grouper.nodeGroup(parent);
if (parentGroup != null && !parentGroup.equals(g)) {
equivs.addEdge(parentGroup, g);
}
}
}
}
Map<Group, Integer> ret = new HashMap();
List<Set<Group>> equivGroups = new ConnectivityInspector<Group, Object>(equivs).connectedSets();
for (Set<Group> equivGroup : equivGroups) {
Integer fixedP = getFixedParallelism(equivGroup);
Integer maxP = getMaxParallelism(equivGroup);
if (fixedP != null && maxP != null && maxP < fixedP) {
throw new RuntimeException("Parallelism is fixed to " + fixedP + " but max parallelism is less than that: " + maxP);
}
Integer p = 1;
for (Group g : equivGroup) {
for (Node n : g.nodes) {
if (n.parallelismHint != null) {
p = Math.max(p, n.parallelismHint);
}
}
}
if (maxP != null)
p = Math.min(maxP, p);
if (fixedP != null)
p = fixedP;
for (Group g : equivGroup) {
ret.put(g, p);
}
}
return ret;
}
use of storm.trident.planner.PartitionNode in project storm by nathanmarz.
the class TridentTopology method getOutputStreamBatchGroups.
private static Map<String, String> getOutputStreamBatchGroups(Group g, Map<Node, String> batchGroupMap) {
Map<String, String> ret = new HashMap();
Set<PartitionNode> externalGroupOutputs = externalGroupOutputs(g);
for (PartitionNode n : externalGroupOutputs) {
ret.put(n.streamId, batchGroupMap.get(n));
}
return ret;
}
use of storm.trident.planner.PartitionNode in project jstorm by alibaba.
the class TridentTopology method extraPartitionInputs.
private static List<PartitionNode> extraPartitionInputs(Group g) {
List<PartitionNode> ret = new ArrayList<>();
Set<PartitionNode> inputs = externalGroupInputs(g);
Map<String, List<PartitionNode>> grouped = new HashMap<>();
for (PartitionNode n : inputs) {
if (!grouped.containsKey(n.streamId)) {
grouped.put(n.streamId, new ArrayList());
}
grouped.get(n.streamId).add(n);
}
for (List<PartitionNode> group : grouped.values()) {
PartitionNode anchor = group.get(0);
for (int i = 1; i < group.size(); i++) {
PartitionNode n = group.get(i);
if (!n.thriftGrouping.equals(anchor.thriftGrouping)) {
ret.add(n);
}
}
}
return ret;
}
use of storm.trident.planner.PartitionNode in project jstorm by alibaba.
the class TridentTopology method uniquedSubscriptions.
private static Collection<PartitionNode> uniquedSubscriptions(Set<PartitionNode> subscriptions) {
Map<String, PartitionNode> ret = new HashMap<>();
for (PartitionNode n : subscriptions) {
PartitionNode curr = ret.get(n.streamId);
if (curr != null && !curr.thriftGrouping.equals(n.thriftGrouping)) {
throw new RuntimeException("Multiple subscriptions to the same stream with different groupings. Should be impossible since that is explicitly guarded against.");
}
ret.put(n.streamId, n);
}
return ret.values();
}
use of storm.trident.planner.PartitionNode in project storm by nathanmarz.
the class TridentTopology method build.
public StormTopology build() {
DefaultDirectedGraph<Node, IndexedEdge> graph = (DefaultDirectedGraph) _graph.clone();
completeDRPC(graph, _colocate, _gen);
List<SpoutNode> spoutNodes = new ArrayList<SpoutNode>();
// can be regular nodes (static state) or processor nodes
Set<Node> boltNodes = new HashSet<Node>();
for (Node n : graph.vertexSet()) {
if (n instanceof SpoutNode) {
spoutNodes.add((SpoutNode) n);
} else if (!(n instanceof PartitionNode)) {
boltNodes.add(n);
}
}
Set<Group> initialGroups = new HashSet<Group>();
for (List<Node> colocate : _colocate.values()) {
Group g = new Group(graph, colocate);
boltNodes.removeAll(colocate);
initialGroups.add(g);
}
for (Node n : boltNodes) {
initialGroups.add(new Group(graph, n));
}
GraphGrouper grouper = new GraphGrouper(graph, initialGroups);
grouper.mergeFully();
Collection<Group> mergedGroups = grouper.getAllGroups();
// add identity partitions between groups
for (IndexedEdge<Node> e : new HashSet<IndexedEdge>(graph.edgeSet())) {
if (!(e.source instanceof PartitionNode) && !(e.target instanceof PartitionNode)) {
Group g1 = grouper.nodeGroup(e.source);
Group g2 = grouper.nodeGroup(e.target);
// g1 being null means the source is a spout node
if (g1 == null && !(e.source instanceof SpoutNode))
throw new RuntimeException("Planner exception: Null source group must indicate a spout node at this phase of planning");
if (g1 == null || !g1.equals(g2)) {
graph.removeEdge(e);
PartitionNode pNode = makeIdentityPartition(e.source);
graph.addVertex(pNode);
graph.addEdge(e.source, pNode, new IndexedEdge(e.source, pNode, 0));
graph.addEdge(pNode, e.target, new IndexedEdge(pNode, e.target, e.index));
}
}
}
// if one group subscribes to the same stream with same partitioning multiple times,
// merge those together (otherwise can end up with many output streams created for that partitioning
// if need to split into multiple output streams because of same input having different
// partitioning to the group)
// this is because can't currently merge splitting logic into a spout
// not the most kosher algorithm here, since the grouper indexes are being trounced via the adding of nodes to random groups, but it
// works out
List<Node> forNewGroups = new ArrayList<Node>();
for (Group g : mergedGroups) {
for (PartitionNode n : extraPartitionInputs(g)) {
Node idNode = makeIdentityNode(n.allOutputFields);
Node newPartitionNode = new PartitionNode(idNode.streamId, n.name, idNode.allOutputFields, n.thriftGrouping);
Node parentNode = TridentUtils.getParent(graph, n);
Set<IndexedEdge> outgoing = graph.outgoingEdgesOf(n);
graph.removeVertex(n);
graph.addVertex(idNode);
graph.addVertex(newPartitionNode);
addEdge(graph, parentNode, idNode, 0);
addEdge(graph, idNode, newPartitionNode, 0);
for (IndexedEdge e : outgoing) {
addEdge(graph, newPartitionNode, e.target, e.index);
}
Group parentGroup = grouper.nodeGroup(parentNode);
if (parentGroup == null) {
forNewGroups.add(idNode);
} else {
parentGroup.nodes.add(idNode);
}
}
}
for (Node n : forNewGroups) {
grouper.addGroup(new Group(graph, n));
}
// add in spouts as groups so we can get parallelisms
for (Node n : spoutNodes) {
grouper.addGroup(new Group(graph, n));
}
grouper.reindex();
mergedGroups = grouper.getAllGroups();
Map<Node, String> batchGroupMap = new HashMap();
List<Set<Node>> connectedComponents = new ConnectivityInspector<Node, IndexedEdge>(graph).connectedSets();
for (int i = 0; i < connectedComponents.size(); i++) {
String groupId = "bg" + i;
for (Node n : connectedComponents.get(i)) {
batchGroupMap.put(n, groupId);
}
}
// System.out.println("GRAPH:");
// System.out.println(graph);
Map<Group, Integer> parallelisms = getGroupParallelisms(graph, grouper, mergedGroups);
TridentTopologyBuilder builder = new TridentTopologyBuilder();
Map<Node, String> spoutIds = genSpoutIds(spoutNodes);
Map<Group, String> boltIds = genBoltIds(mergedGroups);
for (SpoutNode sn : spoutNodes) {
Integer parallelism = parallelisms.get(grouper.nodeGroup(sn));
if (sn.type == SpoutNode.SpoutType.DRPC) {
builder.setBatchPerTupleSpout(spoutIds.get(sn), sn.streamId, (IRichSpout) sn.spout, parallelism, batchGroupMap.get(sn));
} else {
ITridentSpout s;
if (sn.spout instanceof IBatchSpout) {
s = new BatchSpoutExecutor((IBatchSpout) sn.spout);
} else if (sn.spout instanceof ITridentSpout) {
s = (ITridentSpout) sn.spout;
} else {
throw new RuntimeException("Regular rich spouts not supported yet... try wrapping in a RichSpoutBatchExecutor");
// TODO: handle regular rich spout without batches (need lots of updates to support this throughout)
}
builder.setSpout(spoutIds.get(sn), sn.streamId, sn.txId, s, parallelism, batchGroupMap.get(sn));
}
}
for (Group g : mergedGroups) {
if (!isSpoutGroup(g)) {
Integer p = parallelisms.get(g);
Map<String, String> streamToGroup = getOutputStreamBatchGroups(g, batchGroupMap);
BoltDeclarer d = builder.setBolt(boltIds.get(g), new SubtopologyBolt(graph, g.nodes, batchGroupMap), p, committerBatches(g, batchGroupMap), streamToGroup);
Collection<PartitionNode> inputs = uniquedSubscriptions(externalGroupInputs(g));
for (PartitionNode n : inputs) {
Node parent = TridentUtils.getParent(graph, n);
String componentId;
if (parent instanceof SpoutNode) {
componentId = spoutIds.get(parent);
} else {
componentId = boltIds.get(grouper.nodeGroup(parent));
}
d.grouping(new GlobalStreamId(componentId, n.streamId), n.thriftGrouping);
}
}
}
return builder.buildTopology();
}
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