本文整理汇总了Golang中github.com/cockroachdb/cockroach/gossip/simulation.Network类的典型用法代码示例。如果您正苦于以下问题:Golang Network类的具体用法?Golang Network怎么用?Golang Network使用的例子?那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了Network类的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Golang代码示例。
示例1: outputDotFile
// outputDotFile generates a .dot file describing the current state of
// the gossip network. nodes is a map from network address to gossip
// node. edgeSet is empty on the first invocation, but
// its content is set to encompass the entire set of edges in the
// network when this method returns. It should be resupplied with each
// successive invocation, as it is used to determine which edges are
// new and which have been deleted and show those changes visually in
// the output graph. New edges are drawn green; edges which were
// removed over the course of the last simulation step(s) are drawn in
// a lightly-dashed red.
//
// The format of the output looks like this:
//
// digraph G {
// node [shape=record];
// node1 [fontsize=12,label="{Node 1|MH=3}"]
// node1 -> node3 [color=green]
// node1 -> node4
// node1 -> node5 [color=red,style=dotted]
// node2 [fontsize=24,label="{Node 2|MH=2}"]
// node2 -> node5
// node3 [fontsize=18,label="{Node 3|MH=5}"]
// node3 -> node5
// node3 -> node4
// node4 [fontsize=24,label="{Node 4|MH=4}"]
// node4 -> node2
// node5 [fontsize=24,label="{Node 5|MH=1}"]
// node5 -> node2
// node5 -> node3
// }
func outputDotFile(dotFN string, cycle int, network *simulation.Network, edgeSet map[string]edge) string {
f, err := os.Create(dotFN)
if err != nil {
log.Fatalf("unable to create temp file: %s", err)
}
defer f.Close()
// Determine maximum number of incoming connections. Create outgoing
// edges, keeping track of which are new since last time (added=true).
outgoingMap := make(edgeMap)
var maxIncoming int
// The order the graph file is written influences the arrangement
// of nodes in the output image, so it makes sense to eliminate
// randomness here. Unfortunately with graphviz it's fairly hard
// to get a consistent ordering.
for _, simNode := range network.Nodes {
node := simNode.Gossip
incoming := node.Incoming()
for _, iNode := range incoming {
e := edge{dest: node.GetNodeID()}
key := fmt.Sprintf("%d:%d", iNode, node.GetNodeID())
if _, ok := edgeSet[key]; !ok {
e.added = true
}
delete(edgeSet, key)
outgoingMap.addEdge(iNode, e)
}
if len(incoming) > maxIncoming {
maxIncoming = len(incoming)
}
}
// Find all edges which were deleted.
for key, e := range edgeSet {
e.added = false
e.deleted = true
nodeID, err := strconv.Atoi(strings.Split(key, ":")[0])
if err != nil {
log.Fatal(err)
}
outgoingMap.addEdge(roachpb.NodeID(nodeID), e)
delete(edgeSet, key)
}
f.WriteString("digraph G {\n")
f.WriteString("node [shape=record];\n")
for _, simNode := range network.Nodes {
node := simNode.Gossip
var incomplete int
var totalAge int64
for _, addr := range network.Addrs {
infoKey := addr.String()
if infoKey == simNode.Addr.String() {
continue // skip the node's own info
}
if val, err := node.GetInfo(infoKey); err != nil {
log.Infof("error getting info for key %q: %s", infoKey, err)
incomplete++
} else {
totalAge += int64(cycle) - val.(int64)
}
}
var sentinelAge int64
if val, err := node.GetInfo(gossip.KeySentinel); err != nil {
log.Infof("error getting info for sentinel gossip key %q: %s", gossip.KeySentinel, err)
} else {
sentinelAge = int64(cycle) - val.(int64)
}
//.........这里部分代码省略.........
示例2: outputDotFile
// outputDotFile generates a .dot file describing the current state of
// the gossip network. nodes is a map from network address to gossip
// node. edgeSet is empty on the first invocation, but
// its content is set to encompass the entire set of edges in the
// network when this method returns. It should be resupplied with each
// successive invocation, as it is used to determine which edges are
// new and which have been deleted and show those changes visually in
// the output graph. New edges are drawn green; edges which were
// removed over the course of the last simulation step(s) are drawn in
// a lightly-dashed red.
//
// The format of the output looks like this:
//
// digraph G {
// node [shape=record];
// node1 [fontsize=12,label="{Node 1|MH=3}"]
// node1 -> node3 [color=green]
// node1 -> node4
// node1 -> node5 [color=red,style=dotted]
// node2 [fontsize=24,label="{Node 2|MH=2}"]
// node2 -> node5
// node3 [fontsize=18,label="{Node 3|MH=5}"]
// node3 -> node5
// node3 -> node4
// node4 [fontsize=24,label="{Node 4|MH=4}"]
// node4 -> node2
// node5 [fontsize=24,label="{Node 5|MH=1}"]
// node5 -> node2
// node5 -> node3
// }
//
// Returns the name of the output file and a boolean for whether or not
// the network has quiesced (that is, no new edges, and all nodes are
// connected).
func outputDotFile(dotFN string, cycle int, network *simulation.Network, edgeSet map[string]edge) (string, bool) {
f, err := os.Create(dotFN)
if err != nil {
log.Fatalf(context.TODO(), "unable to create temp file: %s", err)
}
defer f.Close()
// Determine maximum number of incoming connections. Create outgoing
// edges, keeping track of which are new since last time (added=true).
outgoingMap := make(edgeMap)
var maxIncoming int
quiescent := true
// The order the graph file is written influences the arrangement
// of nodes in the output image, so it makes sense to eliminate
// randomness here. Unfortunately with graphviz it's fairly hard
// to get a consistent ordering.
for _, simNode := range network.Nodes {
node := simNode.Gossip
incoming := node.Incoming()
for _, iNode := range incoming {
e := edge{dest: node.GetNodeID()}
key := fmt.Sprintf("%d:%d", iNode, node.GetNodeID())
if _, ok := edgeSet[key]; !ok {
e.added = true
quiescent = false
}
delete(edgeSet, key)
outgoingMap.addEdge(iNode, e)
}
if len(incoming) > maxIncoming {
maxIncoming = len(incoming)
}
}
// Find all edges which were deleted.
for key, e := range edgeSet {
e.added = false
e.deleted = true
quiescent = false
nodeID, err := strconv.Atoi(strings.Split(key, ":")[0])
if err != nil {
log.Fatal(context.TODO(), err)
}
outgoingMap.addEdge(roachpb.NodeID(nodeID), e)
delete(edgeSet, key)
}
fmt.Fprintln(f, "digraph G {")
fmt.Fprintln(f, "node [shape=record];")
for _, simNode := range network.Nodes {
node := simNode.Gossip
var missing []roachpb.NodeID
var totalAge int64
for _, otherNode := range network.Nodes {
if otherNode == simNode {
continue // skip the node's own info
}
infoKey := otherNode.Addr().String()
// GetInfo returns an error if the info is missing.
if info, err := node.GetInfo(infoKey); err != nil {
missing = append(missing, otherNode.Gossip.GetNodeID())
quiescent = false
} else {
_, val, err := encoding.DecodeUint64Ascending(info)
if err != nil {
log.Fatalf(context.TODO(), "bad decode of node info cycle: %s", err)
//.........这里部分代码省略.........