Correction of a few bugs in the tests, modification of ClusterLayout::check
This commit is contained in:
parent
7f3249a237
commit
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2 changed files with 137 additions and 77 deletions
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@ -182,7 +182,7 @@ impl Graph<FlowEdge>{
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//assignation, we shuffle the neighbours of the nodes. Hence,
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//the vertices do not consider their neighbours in the same order.
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self.shuffle_edges();
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//We run Dinic's max flow algorithm
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loop {
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//We build the level array from Dinic's algorithm.
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@ -206,7 +206,6 @@ impl Graph<FlowEdge>{
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//There is no residual flow
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break;
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}
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//Now we run DFS respecting the level array
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let mut next_nbd = vec![0; nb_vertices];
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let mut lifo = VecDeque::new();
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@ -220,14 +219,12 @@ impl Graph<FlowEdge>{
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//The DFS reached the sink, we can add a
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//residual flow.
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lifo.pop_back();
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while !lifo.is_empty() {
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if let Some((id, _)) = lifo.pop_back() {
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let nbd = next_nbd[id];
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self.graph[id][nbd].flow += f as i32;
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let id_rev = self.graph[id][nbd].dest;
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let nbd_rev = self.graph[id][nbd].rev;
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self.graph[id_rev][nbd_rev].flow -= f as i32;
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}
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while let Some((id, _)) = lifo.pop_back() {
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let nbd = next_nbd[id];
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self.graph[id][nbd].flow += f as i32;
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let id_rev = self.graph[id][nbd].dest;
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let nbd_rev = self.graph[id][nbd].rev;
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self.graph[id_rev][nbd_rev].flow -= f as i32;
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}
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lifo.push_back((idsource, flow_upper_bound));
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continue;
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@ -243,10 +240,14 @@ impl Graph<FlowEdge>{
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continue;
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}
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//else we can try to send flow from id to its nbd
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let new_flow = min(f, self.graph[id][nbd].cap - self.graph[id][nbd].flow as u32 );
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let new_flow = min(f as i32, self.graph[id][nbd].cap as i32 - self.graph[id][nbd].flow) as u32;
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if new_flow == 0 {
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next_nbd[id] += 1;
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continue;
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}
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if let (Some(lvldest), Some(lvlid)) =
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(level[self.graph[id][nbd].dest], level[id]){
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if lvldest <= lvlid || new_flow == 0 {
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if lvldest <= lvlid {
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//We cannot send flow to nbd.
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next_nbd[id] += 1;
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continue;
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@ -266,7 +267,6 @@ impl Graph<FlowEdge>{
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// one needs to be present in the cost function.
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pub fn optimize_flow_with_cost(&mut self , cost: &CostFunction, path_length: usize )
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-> Result<(),String>{
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//We build the weighted graph g where we will look for negative cycle
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let mut gf = self.build_cost_graph(cost)?;
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let mut cycles = gf.list_negative_cycles(path_length);
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@ -364,6 +364,7 @@ impl Graph<WeightedEdge>{
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}
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}
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//If self.graph contains a negative cycle, then at this point the graph described
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//by prev (which is a directed 1-forest/functional graph)
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//must contain a cycle. We list the cycles of prev.
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@ -401,8 +402,9 @@ fn cycles_of_1_forest(forest: &[Option<usize>]) -> Vec<Vec<usize>> {
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//We discovered an id that we explored at this iteration t.
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//It means we are on a cycle
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let mut cy = vec![id; 1];
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let id2 = id;
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while let Some(id2) = forest[id2] {
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let mut id2 = id;
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while let Some(id_next) = forest[id2] {
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id2 = id_next;
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if id2 != id {
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cy.push(id2);
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}
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@ -429,12 +431,5 @@ fn cycles_of_1_forest(forest: &[Option<usize>]) -> Vec<Vec<usize>> {
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mod tests {
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use super::*;
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#[test]
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fn test_flow() {
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let left_vec = vec![3; 8];
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let right_vec = vec![0, 4, 8, 4, 8];
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//There are asserts in the function that computes the flow
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}
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//maybe add tests relative to the matching optilization ?
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}
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@ -3,6 +3,7 @@ use std::collections::HashMap;
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use std::collections::HashSet;
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use hex::ToHex;
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use itertools::Itertools;
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use serde::{Deserialize, Serialize};
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@ -185,7 +186,8 @@ impl ClusterLayout {
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pub fn get_node_capacity(&self, uuid : &Uuid) -> Result<u32,String> {
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match self.node_role(uuid) {
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Some(NodeRole{capacity : Some(cap), zone: _, tags: _}) => return Ok(*cap),
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_ => return Err("The Uuid does not correspond to a node present in the cluster or this node does not have a positive capacity.".to_string())
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_ => return Err("The Uuid does not correspond to a node present in the \
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cluster or this node does not have a positive capacity.".to_string())
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}
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}
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@ -242,6 +244,47 @@ impl ClusterLayout {
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}
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}
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//Check that every partition is associated to distinct nodes
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let rf = self.replication_factor;
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for p in 0..(1 << PARTITION_BITS) {
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let nodes_of_p = self.ring_assignation_data[rf*p..rf*(p+1)].to_vec();
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if nodes_of_p.iter().unique().count() != rf {
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return false;
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}
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//Check that every partition is spread over at least zone_redundancy zones.
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let zones_of_p = nodes_of_p.iter()
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.map(|n| self.get_node_zone(&self.node_id_vec[*n as usize])
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.expect("Zone not found."));
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if zones_of_p.unique().count() < self.zone_redundancy {
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return false;
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}
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}
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//Check that the nodes capacities is consistent with the stored partitions
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let mut node_usage = vec![0; MAX_NODE_NUMBER];
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for n in self.ring_assignation_data.iter() {
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node_usage[*n as usize] += 1;
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}
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for n in 0..MAX_NODE_NUMBER {
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if node_usage[n] > 0 {
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let uuid = self.node_id_vec[n];
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if node_usage[n]*self.partition_size > self.get_node_capacity(&uuid)
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.expect("Critical Error"){
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return false;
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}
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}
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}
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//Check that the partition size stored is the one computed by the asignation
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//algorithm.
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let cl2 = self.clone();
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let (_ , zone_to_id) = cl2.generate_zone_ids().expect("Critical Error");
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let partition_size = cl2.compute_optimal_partition_size(&zone_to_id).expect("Critical Error");
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if partition_size != self.partition_size {
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return false;
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}
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true
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}
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@ -267,7 +310,7 @@ impl ClusterLayout {
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self.zone_redundancy = redundancy;
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let mut msg = Message::new();
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msg.push(format!("Computation of a new cluster layout where partitions are
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msg.push(format!("Computation of a new cluster layout where partitions are \
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replicated {} times on at least {} distinct zones.", replication, redundancy));
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//We generate for once numerical ids for the zone, to use them as indices in the
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@ -276,16 +319,19 @@ impl ClusterLayout {
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msg.push(format!("The cluster contains {} nodes spread over {} zones.",
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self.useful_nodes().len(), id_to_zone.len()));
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//We compute the optimal partition size
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//Capacities should be given in a unit so that partition size is at least 100.
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//In this case, integer rounding plays a marginal role in the percentages of
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//optimality.
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let partition_size = self.compute_optimal_partition_size(&zone_to_id)?;
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if old_assignation_opt != None {
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msg.push(format!("Given the replication and redundancy constraint, the
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optimal size of a partition is {}. In the previous layout, it used to
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msg.push(format!("Given the replication and redundancy constraint, the \
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optimal size of a partition is {}. In the previous layout, it used to \
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be {}.", partition_size, self.partition_size));
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}
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else {
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msg.push(format!("Given the replication and redundancy constraints, the
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msg.push(format!("Given the replication and redundancy constraints, the \
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optimal size of a partition is {}.", partition_size));
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}
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self.partition_size = partition_size;
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@ -293,13 +339,13 @@ impl ClusterLayout {
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//We compute a first flow/assignment that is heuristically close to the previous
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//assignment
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let mut gflow = self.compute_candidate_assignment( &zone_to_id, &old_assignation_opt)?;
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if let Some(assoc) = &old_assignation_opt {
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//We minimize the distance to the previous assignment.
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self.minimize_rebalance_load(&mut gflow, &zone_to_id, &assoc)?;
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}
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msg.append(&mut self.output_stat(&gflow, &old_assignation_opt, &zone_to_id,&id_to_zone)?);
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msg.push("".to_string());
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//We update the layout structure
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self.update_ring_from_flow(id_to_zone.len() , &gflow)?;
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@ -321,7 +367,8 @@ impl ClusterLayout {
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.map(|(k, _, _)| *k).collect();
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if new_non_gateway_nodes.len() > MAX_NODE_NUMBER {
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return Err(format!("There are more than {} non-gateway nodes in the new layout. This is not allowed.", MAX_NODE_NUMBER).to_string());
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return Err(format!("There are more than {} non-gateway nodes in the new \
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layout. This is not allowed.", MAX_NODE_NUMBER).to_string());
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}
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let mut new_gateway_nodes: Vec<Uuid> = self.roles.items().iter()
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@ -346,7 +393,8 @@ impl ClusterLayout {
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return Ok(None);
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}
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if self.ring_assignation_data.len() != nb_partitions * self.replication_factor {
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return Err("The old assignation does not have a size corresponding to the old replication factor or the number of partitions.".to_string());
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return Err("The old assignation does not have a size corresponding to \
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the old replication factor or the number of partitions.".to_string());
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}
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//We build a translation table between the uuid and new ids
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@ -384,7 +432,8 @@ impl ClusterLayout {
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for uuid in self.node_id_vec.iter() {
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if self.roles.get(uuid) == None {
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return Err("The uuid was not found in the node roles (this should not happen, it might be a critical error).".to_string());
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return Err("The uuid was not found in the node roles (this should \
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not happen, it might be a critical error).".to_string());
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}
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match self.node_role(&uuid) {
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Some(r) => if !zone_to_id.contains_key(&r.zone) && r.capacity != None {
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@ -405,7 +454,8 @@ impl ClusterLayout {
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let mut g = self.generate_flow_graph(1, zone_to_id, &empty_set)?;
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g.compute_maximal_flow()?;
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if g.get_flow_value()? < (nb_partitions*self.replication_factor).try_into().unwrap() {
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return Err("The storage capacity of he cluster is to small. It is impossible to store partitions of size 1.".to_string());
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return Err("The storage capacity of he cluster is to small. It is \
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impossible to store partitions of size 1.".to_string());
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}
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let mut s_down = 1;
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@ -525,11 +575,12 @@ impl ClusterLayout {
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}
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if self.ring_assignation_data.len() != NB_PARTITIONS*self.replication_factor {
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return Err("Critical Error : the association ring we produced does not have the right size.".to_string());
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return Err("Critical Error : the association ring we produced does not \
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have the right size.".to_string());
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}
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return Ok(());
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}
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//This function returns a message summing up the partition repartition of the new
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//layout.
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@ -546,9 +597,16 @@ impl ClusterLayout {
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let percent_cap = 100.0*(used_cap as f32)/(total_cap as f32);
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msg.push(format!("Available capacity / Total cluster capacity: {} / {} ({:.1} %)",
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used_cap , total_cap , percent_cap ));
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msg.push(format!("If the percentage is to low, it might be that the replication/redundancy constraints force the use of nodes/zones with small storage capacities.
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You might want to rebalance the storage capacities or relax the constraints. See the detailed statistics below and look for saturated nodes/zones."));
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msg.push(format!("Recall that because of the replication, the actual available storage capacity is {} / {} = {}.", used_cap , self.replication_factor , used_cap/self.replication_factor as u32));
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msg.push(format!(""));
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msg.push(format!("If the percentage is to low, it might be that the \
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replication/redundancy constraints force the use of nodes/zones with small \
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storage capacities. \
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You might want to rebalance the storage capacities or relax the constraints. \
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See the detailed statistics below and look for saturated nodes/zones."));
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msg.push(format!("Recall that because of the replication, the actual available \
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storage capacity is {} / {} = {}.",
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used_cap , self.replication_factor ,
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used_cap/self.replication_factor as u32));
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//We define and fill in the following tables
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let storing_nodes = self.useful_nodes();
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@ -563,6 +621,16 @@ impl ClusterLayout {
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let pz_nodes = gflow.get_positive_flow_from(Vertex::PZ(p,z))?;
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if pz_nodes.len() > 0 {
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stored_partitions_zone[z] += 1;
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if let Some(old_assoc) = old_assoc_opt {
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let mut old_zones_of_p = Vec::<usize>::new();
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for n in old_assoc[p].iter() {
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old_zones_of_p.push(
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zone_to_id[&self.get_node_zone(&self.node_id_vec[*n])?]);
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}
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if !old_zones_of_p.contains(&z) {
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new_partitions_zone[z] += 1;
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}
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}
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}
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for vert in pz_nodes.iter() {
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if let Vertex::N(n) = *vert {
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@ -574,21 +642,17 @@ impl ClusterLayout {
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}
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}
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}
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if let Some(old_assoc) = old_assoc_opt {
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let mut old_zones_of_p = Vec::<usize>::new();
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for n in old_assoc[p].iter() {
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old_zones_of_p.push(
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zone_to_id[&self.get_node_zone(&self.node_id_vec[*n])?]);
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}
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if !old_zones_of_p.contains(&z) {
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new_partitions_zone[z] += 1;
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}
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}
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}
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}
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if *old_assoc_opt == None {
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new_partitions = stored_partitions.clone();
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new_partitions_zone = stored_partitions_zone.clone();
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}
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//We display the statistics
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msg.push(format!(""));
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if *old_assoc_opt != None {
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let total_new_partitions : usize = new_partitions.iter().sum();
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msg.push(format!("A total of {} new copies of partitions need to be \
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@ -608,16 +672,9 @@ impl ClusterLayout {
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.map(|n| stored_partitions[*n]).sum();
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msg.push(format!(""));
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if *old_assoc_opt != None {
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msg.push(format!("Zone {}: {} distinct partitions stored ({} new, \
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msg.push(format!("Zone {}: {} distinct partitions stored ({} new, \
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{} partition copies) ", id_to_zone[z], stored_partitions_zone[z],
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new_partitions_zone[z], replicated_partitions));
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}
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else{
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msg.push(format!("Zone {}: {} distinct partitions stored ({} partition \
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copies) ",
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id_to_zone[z], stored_partitions_zone[z], replicated_partitions));
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}
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let available_cap_z : u32 = self.partition_size*replicated_partitions as u32;
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let mut total_cap_z = 0;
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@ -625,18 +682,17 @@ impl ClusterLayout {
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total_cap_z += self.get_node_capacity(&self.node_id_vec[*n])?;
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}
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let percent_cap_z = 100.0*(available_cap_z as f32)/(total_cap_z as f32);
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msg.push(format!(" Available capacity / Total capacity: {}/{} ({:.1}%).",
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msg.push(format!(" Available capacity / Total capacity: {}/{} ({:.1}%).",
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available_cap_z, total_cap_z, percent_cap_z));
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msg.push(format!(""));
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for n in nodes_of_z.iter() {
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let available_cap_n = stored_partitions[*n] as u32 *self.partition_size;
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let total_cap_n =self.get_node_capacity(&self.node_id_vec[*n])?;
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let tags_n = (self.node_role(&self.node_id_vec[*n])
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.ok_or("Node not found."))?.tags_string();
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msg.push(format!(" Node {}: {} partitions ({} new) ; \
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msg.push(format!(" Node {}: {} partitions ({} new) ; \
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available/total capacity: {} / {} ({:.1}%) ; tags:{}",
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&self.node_id_vec[*n].to_vec().encode_hex::<String>(),
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&self.node_id_vec[*n].to_vec()[0..2].to_vec().encode_hex::<String>(),
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stored_partitions[*n],
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new_partitions[*n], available_cap_n, total_cap_n,
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(available_cap_n as f32)/(total_cap_n as f32)*100.0 ,
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@ -654,16 +710,14 @@ impl ClusterLayout {
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#[cfg(test)]
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mod tests {
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use super::*;
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use itertools::Itertools;
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use std::io::*;
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// use itertools::Itertools;
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/*
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fn check_assignation(cl: &ClusterLayout) {
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//Check that input data has the right format
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let nb_partitions = 1usize << PARTITION_BITS;
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assert!([1, 2, 3].contains(&cl.replication_factor));
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assert!(cl.ring_assignation_data.len() == nb_partitions * cl.replication_factor);
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let (node_zone, node_capacity) = cl.get_node_zone_capacity();
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//Check that is is a correct assignation with zone redundancy
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let rf = cl.replication_factor;
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for i in 0..nb_partitions {
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@ -743,6 +797,13 @@ mod tests {
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}
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}
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}
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*/
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fn show_msg(msg : &Message) {
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for s in msg.iter(){
|
||||
println!("{}",s);
|
||||
}
|
||||
}
|
||||
|
||||
fn update_layout(
|
||||
cl: &mut ClusterLayout,
|
||||
|
|
@ -769,7 +830,8 @@ mod tests {
|
|||
|
||||
#[test]
|
||||
fn test_assignation() {
|
||||
let mut node_id_vec = vec![1, 2, 3];
|
||||
std::io::stdout().flush().ok().expect("Could not flush stdout");
|
||||
let mut node_id_vec = vec![1, 2, 3];
|
||||
let mut node_capacity_vec = vec![4000, 1000, 2000];
|
||||
let mut node_zone_vec = vec!["A", "B", "C"]
|
||||
.into_iter()
|
||||
|
|
@ -782,14 +844,16 @@ mod tests {
|
|||
roles: LwwMap::new(),
|
||||
|
||||
replication_factor: 3,
|
||||
zone_redundancy: 1,
|
||||
partition_size: 0,
|
||||
ring_assignation_data: vec![],
|
||||
version: 0,
|
||||
staging: LwwMap::new(),
|
||||
staging_hash: sha256sum(&[1; 32]),
|
||||
staging_hash: blake2sum(&rmp_to_vec_all_named(&LwwMap::<Uuid, NodeRoleV>::new()).unwrap()[..]),
|
||||
};
|
||||
update_layout(&mut cl, &node_id_vec, &node_capacity_vec, &node_zone_vec);
|
||||
cl.calculate_partition_assignation();
|
||||
check_assignation(&cl);
|
||||
show_msg(&cl.calculate_partition_assignation(3,3).unwrap());
|
||||
assert!(cl.check());
|
||||
|
||||
node_id_vec = vec![1, 2, 3, 4, 5, 6, 7, 8, 9];
|
||||
node_capacity_vec = vec![4000, 1000, 1000, 3000, 1000, 1000, 2000, 10000, 2000];
|
||||
|
|
@ -798,17 +862,18 @@ mod tests {
|
|||
.map(|x| x.to_string())
|
||||
.collect();
|
||||
update_layout(&mut cl, &node_id_vec, &node_capacity_vec, &node_zone_vec);
|
||||
cl.calculate_partition_assignation();
|
||||
check_assignation(&cl);
|
||||
show_msg(&cl.calculate_partition_assignation(3,3).unwrap());
|
||||
assert!(cl.check());
|
||||
|
||||
node_capacity_vec = vec![4000, 1000, 2000, 7000, 1000, 1000, 2000, 10000, 2000];
|
||||
update_layout(&mut cl, &node_id_vec, &node_capacity_vec, &node_zone_vec);
|
||||
cl.calculate_partition_assignation();
|
||||
check_assignation(&cl);
|
||||
show_msg(&cl.calculate_partition_assignation(3,3).unwrap());
|
||||
assert!(cl.check());
|
||||
|
||||
node_capacity_vec = vec![4000, 4000, 2000, 7000, 1000, 9000, 2000, 10, 2000];
|
||||
node_capacity_vec = vec![4000000, 4000000, 2000000, 7000000, 1000000, 9000000, 2000000, 10000, 2000000];
|
||||
update_layout(&mut cl, &node_id_vec, &node_capacity_vec, &node_zone_vec);
|
||||
cl.calculate_partition_assignation();
|
||||
check_assignation(&cl);
|
||||
show_msg(&cl.calculate_partition_assignation(3,1).unwrap());
|
||||
assert!(cl.check());
|
||||
|
||||
}
|
||||
}
|
||||
|
|
|
|||
Loading…
Reference in a new issue