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Doc - Replication Refactor - Part 1 (#4555)
Next steps after DC2DC and Cluster doc improvements:

- We refactor replication sections and make more intuitive separation between Master/Slave and the new Active Failover in 3.3
- We create corresponding sections for Master/Slave and Active Failover in the Administration and Deployment chapters, as well as in the Scalability chapter, where these "modes" are introduced
- We touch and improve the "Architecture" chapter as well, where some architecture info have to be placed
- We reorg the TOC having in more "logical" order:
-- Deployment
-- Administration
-- Security
-- Monitoring
-- Troubleshooting
- We adds parts in the TOC
- We add toc per pages, using page-toc plugin
- We also put close together "Scalability" and "Architecture" chapters, preliminary steps of further improvements / aggregation
- We improve swagger

Internal Ref:
- https://github.com/arangodb/planning/issues/1692
- https://github.com/arangodb/planning/issues/1655
- https://github.com/arangodb/planning/issues/1858
- https://github.com/arangodb/planning/issues/973 (partial fix)
- https://github.com/arangodb/planning/issues/1498 (partial fix)
2018-02-28 12:23:19 +01:00
..
README.md Doc - Replication Refactor - Part 1 (#4555) 2018-02-28 12:23:19 +01:00
knows_graph.png Docs: make graph traversal images hard copies (fixes Cygwin builds) 2017-05-12 08:16:37 +00:00

README.md

HTTP Interface for Traversals

Traversals

ArangoDB's graph traversals are executed on the server. Traversals can be initiated by clients by sending the traversal description for execution to the server.

Traversals in ArangoDB are used to walk over a graph stored in one edge collection. It can easily be described which edges of the graph should be followed and which actions should be performed on each visited vertex. Furthermore the ordering of visiting the nodes can be specified, for instance depth-first or breadth-first search are offered.

Executing Traversals via HTTP

@startDocuBlock HTTP_API_TRAVERSAL

All examples were using this graph:

Persons relation Example Graph