[ https://issues.apache.org/jira/browse/FLINK-4965?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Flink Jira Bot updated FLINK-4965: ---------------------------------- Labels: algorithm auto-deprioritized-major auto-unassigned (was: algorithm auto-unassigned stale-major) Priority: Minor (was: Major) This issue was labeled "stale-major" 7 days ago and has not received any updates so it is being deprioritized. If this ticket is actually Major, please raise the priority and ask a committer to assign you the issue or revive the public discussion. > AllPairsShortestPaths > --------------------- > > Key: FLINK-4965 > URL: https://issues.apache.org/jira/browse/FLINK-4965 > Project: Flink > Issue Type: New Feature > Components: Library / Graph Processing (Gelly) > Affects Versions: 1.2.0 > Reporter: Greg Hogan > Priority: Minor > Labels: algorithm, auto-deprioritized-major, auto-unassigned > > Add a Gelly implementation of {{AllPairsShortestPaths}} to complement the > existing {{SingleSourceShortestPaths}}. > Flink algorithms excel at processing big, sparse data. APSP is big, really > big, but not at all sparse. Considering only undirected graphs, each > component of size {{n}} will have {{n choose 2}} shortest paths (1,000 > vertices => ~million paths, 1,000,000 vertices => ~trillion shortest paths). > Considerations are directed vs undirected and weighted vs unweighted graphs. > The actual shortest path (not merely the distance) is required for follow-on > algorithms such as betweenness centrality. -- This message was sent by Atlassian Jira (v8.3.4#803005)