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| -rw-r--r-- | docs/auth_chain_difference_algorithm.md | 108 |
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diff --git a/docs/auth_chain_diff.dot b/docs/auth_chain_diff.dot new file mode 100644 index 0000000000..978d579ada --- /dev/null +++ b/docs/auth_chain_diff.dot @@ -0,0 +1,32 @@ +digraph auth { + nodesep=0.5; + rankdir="RL"; + + C [label="Create (1,1)"]; + + BJ [label="Bob's Join (2,1)", color=red]; + BJ2 [label="Bob's Join (2,2)", color=red]; + BJ2 -> BJ [color=red, dir=none]; + + subgraph cluster_foo { + A1 [label="Alice's invite (4,1)", color=blue]; + A2 [label="Alice's Join (4,2)", color=blue]; + A3 [label="Alice's Join (4,3)", color=blue]; + A3 -> A2 -> A1 [color=blue, dir=none]; + color=none; + } + + PL1 [label="Power Level (3,1)", color=darkgreen]; + PL2 [label="Power Level (3,2)", color=darkgreen]; + PL2 -> PL1 [color=darkgreen, dir=none]; + + {rank = same; C; BJ; PL1; A1;} + + A1 -> C [color=grey]; + A1 -> BJ [color=grey]; + PL1 -> C [color=grey]; + BJ2 -> PL1 [penwidth=2]; + + A3 -> PL2 [penwidth=2]; + A1 -> PL1 -> BJ -> C [penwidth=2]; +} diff --git a/docs/auth_chain_diff.dot.png b/docs/auth_chain_diff.dot.png new file mode 100644 index 0000000000..771c07308f --- /dev/null +++ b/docs/auth_chain_diff.dot.png Binary files differdiff --git a/docs/auth_chain_difference_algorithm.md b/docs/auth_chain_difference_algorithm.md new file mode 100644 index 0000000000..30f72a70da --- /dev/null +++ b/docs/auth_chain_difference_algorithm.md @@ -0,0 +1,108 @@ +# Auth Chain Difference Algorithm + +The auth chain difference algorithm is used by V2 state resolution, where a +naive implementation can be a significant source of CPU and DB usage. + +### Definitions + +A *state set* is a set of state events; e.g. the input of a state resolution +algorithm is a collection of state sets. + +The *auth chain* of a set of events are all the events' auth events and *their* +auth events, recursively (i.e. the events reachable by walking the graph induced +by an event's auth events links). + +The *auth chain difference* of a collection of state sets is the union minus the +intersection of the sets of auth chains corresponding to the state sets, i.e an +event is in the auth chain difference if it is reachable by walking the auth +event graph from at least one of the state sets but not from *all* of the state +sets. + +## Breadth First Walk Algorithm + +A way of calculating the auth chain difference without calculating the full auth +chains for each state set is to do a parallel breadth first walk (ordered by +depth) of each state set's auth chain. By tracking which events are reachable +from each state set we can finish early if every pending event is reachable from +every state set. + +This can work well for state sets that have a small auth chain difference, but +can be very inefficient for larger differences. However, this algorithm is still +used if we don't have a chain cover index for the room (e.g. because we're in +the process of indexing it). + +## Chain Cover Index + +Synapse computes auth chain differences by pre-computing a "chain cover" index +for the auth chain in a room, allowing efficient reachability queries like "is +event A in the auth chain of event B". This is done by assigning every event a +*chain ID* and *sequence number* (e.g. `(5,3)`), and having a map of *links* +between chains (e.g. `(5,3) -> (2,4)`) such that A is reachable by B (i.e. `A` +is in the auth chain of `B`) if and only if either: + +1. A and B have the same chain ID and `A`'s sequence number is less than `B`'s + sequence number; or +2. there is a link `L` between `B`'s chain ID and `A`'s chain ID such that + `L.start_seq_no` <= `B.seq_no` and `A.seq_no` <= `L.end_seq_no`. + +There are actually two potential implementations, one where we store links from +each chain to every other reachable chain (the transitive closure of the links +graph), and one where we remove redundant links (the transitive reduction of the +links graph) e.g. if we have chains `C3 -> C2 -> C1` then the link `C3 -> C1` +would not be stored. Synapse uses the former implementations so that it doesn't +need to recurse to test reachability between chains. + +### Example + +An example auth graph would look like the following, where chains have been +formed based on type/state_key and are denoted by colour and are labelled with +`(chain ID, sequence number)`. Links are denoted by the arrows (links in grey +are those that would be remove in the second implementation described above). + + + +Note that we don't include all links between events and their auth events, as +most of those links would be redundant. For example, all events point to the +create event, but each chain only needs the one link from it's base to the +create event. + +## Using the Index + +This index can be used to calculate the auth chain difference of the state sets +by looking at the chain ID and sequence numbers reachable from each state set: + +1. For every state set lookup the chain ID/sequence numbers of each state event +2. Use the index to find all chains and the maximum sequence number reachable + from each state set. +3. The auth chain difference is then all events in each chain that have sequence + numbers between the maximum sequence number reachable from *any* state set and + the minimum reachable by *all* state sets (if any). + +Note that steps 2 is effectively calculating the auth chain for each state set +(in terms of chain IDs and sequence numbers), and step 3 is calculating the +difference between the union and intersection of the auth chains. + +### Worked Example + +For example, given the above graph, we can calculate the difference between +state sets consisting of: + +1. `S1`: Alice's invite `(4,1)` and Bob's second join `(2,2)`; and +2. `S2`: Alice's second join `(4,3)` and Bob's first join `(2,1)`. + +Using the index we see that the following auth chains are reachable from each +state set: + +1. `S1`: `(1,1)`, `(2,2)`, `(3,1)` & `(4,1)` +2. `S2`: `(1,1)`, `(2,1)`, `(3,2)` & `(4,3)` + +And so, for each the ranges that are in the auth chain difference: +1. Chain 1: None, (since everything can reach the create event). +2. Chain 2: The range `(1, 2]` (i.e. just `2`), as `1` is reachable by all state + sets and the maximum reachable is `2` (corresponding to Bob's second join). +3. Chain 3: Similarly the range `(1, 2]` (corresponding to the second power + level). +4. Chain 4: The range `(1, 3]` (corresponding to both of Alice's joins). + +So the final result is: Bob's second join `(2,2)`, the second power level +`(3,2)` and both of Alice's joins `(4,2)` & `(4,3)`. |
