From 2aeaddd5e2e1911b084f6d49ccb2236b7fec31af Mon Sep 17 00:00:00 2001 From: Alex Auvolat Date: Sun, 1 May 2022 09:57:05 +0200 Subject: Apply cargo fmt --- src/rpc/layout.rs | 940 ++++++++++++++++++++++++++++-------------------------- 1 file changed, 496 insertions(+), 444 deletions(-) (limited to 'src/rpc/layout.rs') diff --git a/src/rpc/layout.rs b/src/rpc/layout.rs index afd7df17..ac31da72 100644 --- a/src/rpc/layout.rs +++ b/src/rpc/layout.rs @@ -1,12 +1,12 @@ +use std::cmp::min; use std::cmp::Ordering; -use std::cmp::{min}; -use std::collections::{HashMap}; +use std::collections::HashMap; use serde::{Deserialize, Serialize}; +use garage_util::bipartite::*; use garage_util::crdt::{AutoCrdt, Crdt, LwwMap}; use garage_util::data::*; -use garage_util::bipartite::*; use rand::prelude::SliceRandom; @@ -168,454 +168,506 @@ impl ClusterLayout { true } + /// This function calculates a new partition-to-node assignation. + /// The computed assignation maximizes the capacity of a + /// partition (assuming all partitions have the same size). + /// Among such optimal assignation, it minimizes the distance to + /// the former assignation (if any) to minimize the amount of + /// data to be moved. A heuristic ensures node triplets + /// dispersion (in garage_util::bipartite::optimize_matching()). + pub fn calculate_partition_assignation(&mut self) -> bool { + //The nodes might have been updated, some might have been deleted. + //So we need to first update the list of nodes and retrieve the + //assignation. + let old_node_assignation = self.update_nodes_and_ring(); + + let (node_zone, _) = self.get_node_zone_capacity(); + + //We compute the optimal number of partition to assign to + //every node and zone. + if let Some((part_per_nod, part_per_zone)) = self.optimal_proportions() { + //We collect part_per_zone in a vec to not rely on the + //arbitrary order in which elements are iterated in + //Hashmap::iter() + let part_per_zone_vec = part_per_zone + .iter() + .map(|(x, y)| (x.clone(), *y)) + .collect::>(); + //We create an indexing of the zones + let mut zone_id = HashMap::::new(); + for i in 0..part_per_zone_vec.len() { + zone_id.insert(part_per_zone_vec[i].0.clone(), i); + } - /// This function calculates a new partition-to-node assignation. - /// The computed assignation maximizes the capacity of a - /// partition (assuming all partitions have the same size). - /// Among such optimal assignation, it minimizes the distance to - /// the former assignation (if any) to minimize the amount of - /// data to be moved. A heuristic ensures node triplets - /// dispersion (in garage_util::bipartite::optimize_matching()). - pub fn calculate_partition_assignation(&mut self) -> bool { - - //The nodes might have been updated, some might have been deleted. - //So we need to first update the list of nodes and retrieve the - //assignation. - let old_node_assignation = self.update_nodes_and_ring(); - - let (node_zone, _) = self.get_node_zone_capacity(); - - //We compute the optimal number of partition to assign to - //every node and zone. - if let Some((part_per_nod, part_per_zone)) = self.optimal_proportions(){ - //We collect part_per_zone in a vec to not rely on the - //arbitrary order in which elements are iterated in - //Hashmap::iter() - let part_per_zone_vec = part_per_zone.iter() - .map(|(x,y)| (x.clone(),*y)) - .collect::>(); - //We create an indexing of the zones - let mut zone_id = HashMap::::new(); - for i in 0..part_per_zone_vec.len(){ - zone_id.insert(part_per_zone_vec[i].0.clone(), i); - } - - //We compute a candidate for the new partition to zone - //assignation. - let nb_zones = part_per_zone.len(); - let nb_nodes = part_per_nod.len(); - let nb_partitions = 1<> = - old_node_assignation.iter().map(|x| x.iter().map( - |id| match *id { Some(i) => zone_id[&node_zone[i]] , - None => no_zone } - ).collect()).collect(); - - //We minimize the distance to the former zone assignation - zone_assignation = optimize_matching( - &old_zone_assignation, &zone_assignation, nb_zones+1); //+1 for no_zone - - //We need to assign partitions to nodes in their zone - //We first put the nodes assignation that can stay the same - for i in 0..nb_partitions{ - for j in 0..self.replication_factor { - if let Some(Some(former_node)) = old_node_assignation[i].iter().find( - |x| if let Some(id) = x { - zone_id[&node_zone[*id]] == zone_assignation[i][j] - } - else {false} - ) - { - if part_per_nod[*former_node] > 0 { - node_assignation[i][j] = Some(*former_node); - part_per_nod[*former_node] -= 1; - } - } - } - } - - - //We complete the assignation of partitions to nodes - let mut rng = rand::thread_rng(); - for i in 0..nb_partitions { - for j in 0..self.replication_factor { - if node_assignation[i][j] == None { - let possible_nodes : Vec = (0..nb_nodes) - .filter( - |id| zone_id[&node_zone[*id]] == zone_assignation[i][j] - && part_per_nod[*id] > 0).collect(); - assert!(possible_nodes.len()>0); - //We randomly pick a node - if let Some(nod) = possible_nodes.choose(&mut rng){ - node_assignation[i][j] = Some(*nod); - part_per_nod[*nod] -= 1; - } - } - } - } - - //We write the assignation in the 1D table - self.ring_assignation_data = Vec::::new(); - for i in 0..nb_partitions{ - for j in 0..self.replication_factor { - if let Some(id) = node_assignation[i][j] { - self.ring_assignation_data.push(id as CompactNodeType); - } - else {assert!(false)} - } - } - - true - } - else { false } - } - - /// The LwwMap of node roles might have changed. This function updates the node_id_vec - /// and returns the assignation given by ring, with the new indices of the nodes, and - /// None of the node is not present anymore. - /// We work with the assumption that only this function and calculate_new_assignation - /// do modify assignation_ring and node_id_vec. - fn update_nodes_and_ring(&mut self) -> Vec>> { - let nb_partitions = 1usize< = self.roles.items().iter() - .map(|(k, _, _)| *k) - .collect(); - - if ring.len() == rf*nb_partitions { - for i in 0..nb_partitions { - for j in 0..self.replication_factor { - node_assignation[i][j] = new_node_id_vec.iter() - .position(|id| *id == self.node_id_vec[ring[i*rf + j] as usize]); - } - } - } - - self.node_id_vec = new_node_id_vec; - self.ring_assignation_data = vec![]; - return node_assignation; - } - - ///This function compute the number of partition to assign to - ///every node and zone, so that every partition is replicated - ///self.replication_factor times and the capacity of a partition - ///is maximized. - fn optimal_proportions(&mut self) -> Option<(Vec, HashMap)> { - - let mut zone_capacity :HashMap= HashMap::new(); - - let (node_zone, node_capacity) = self.get_node_zone_capacity(); - let nb_nodes = self.node_id_vec.len(); - - for i in 0..nb_nodes - { - if zone_capacity.contains_key(&node_zone[i]) { - zone_capacity.insert(node_zone[i].clone(), zone_capacity[&node_zone[i]] + node_capacity[i]); - } - else{ - zone_capacity.insert(node_zone[i].clone(), node_capacity[i]); - } - } - - //Compute the optimal number of partitions per zone - let sum_capacities: u32 =zone_capacity.values().sum(); - - if sum_capacities <= 0 { - println!("No storage capacity in the network."); - return None; - } - - let nb_partitions = 1< = - zone_capacity.iter() - .map(|(k, v)| (k.clone(), min(nb_partitions, - (self.replication_factor*nb_partitions - **v as usize)/sum_capacities as usize) ) ).collect(); - - //The replication_factor-1 upper bounds the number of - //part_per_zones that are greater than nb_partitions - for _ in 1..self.replication_factor { - //The number of partitions that are not assignated to - //a zone that takes nb_partitions. - let sum_capleft : u32 = zone_capacity.keys() - .filter(| k | {part_per_zone[*k] < nb_partitions} ) - .map(|k| zone_capacity[k]).sum(); - - //The number of replication of the data that we need - //to ensure. - let repl_left = self.replication_factor - - part_per_zone.values() - .filter(|x| {**x == nb_partitions}) - .count(); - if repl_left == 0 { - break; - } - - for k in zone_capacity.keys() { - if part_per_zone[k] != nb_partitions - { - part_per_zone.insert(k.to_string() , min(nb_partitions, - (nb_partitions*zone_capacity[k] as usize - *repl_left)/sum_capleft as usize)); - } - } - } - - //Now we divide the zone's partition share proportionally - //between their nodes. - - let mut part_per_nod : Vec = (0..nb_nodes).map( - |i| (part_per_zone[&node_zone[i]]*node_capacity[i] as usize)/zone_capacity[&node_zone[i]] as usize - ) - .collect(); - - //We must update the part_per_zone to make it correspond to - //part_per_nod (because of integer rounding) - part_per_zone = part_per_zone.iter().map(|(k,_)| - (k.clone(), 0)) - .collect(); - for i in 0..nb_nodes { - part_per_zone.insert( - node_zone[i].clone() , - part_per_zone[&node_zone[i]] + part_per_nod[i]); - } - - //Because of integer rounding, the total sum of part_per_nod - //might not be replication_factor*nb_partitions. - // We need at most to add 1 to every non maximal value of - // part_per_nod. The capacity of a partition will be bounded - // by the minimal value of - // node_capacity_vec[i]/part_per_nod[i] - // so we try to maximize this minimal value, keeping the - // part_per_zone capped - - let discrepancy : usize = - nb_partitions*self.replication_factor - - part_per_nod.iter().sum::(); - - //We use a stupid O(N^2) algorithm. If the number of nodes - //is actually expected to be high, one should optimize this. - - for _ in 0..discrepancy { - if let Some(idmax) = (0..nb_nodes) - .filter(|i| part_per_zone[&node_zone[*i]] < nb_partitions) - .max_by( |i,j| - (node_capacity[*i]*(part_per_nod[*j]+1) as u32) - .cmp(&(node_capacity[*j]*(part_per_nod[*i]+1) as u32)) - ) - { - part_per_nod[idmax] += 1; - part_per_zone.insert(node_zone[idmax].clone(),part_per_zone[&node_zone[idmax]]+1); - } - } - - //We check the algorithm consistency - - let discrepancy : usize = - nb_partitions*self.replication_factor - - part_per_nod.iter().sum::(); - assert!(discrepancy == 0); - assert!(if let Some(v) = part_per_zone.values().max() - {*v <= nb_partitions} else {false} ); - - Some((part_per_nod, part_per_zone)) - } - - - //Returns vectors of zone and capacity; indexed by the same (temporary) - //indices as node_id_vec. - fn get_node_zone_capacity(& self) -> (Vec , Vec) { - - let node_zone = self.node_id_vec.iter().map( - |id_nod| match self.node_role(id_nod) { - Some(NodeRole{zone,capacity:_,tags:_}) => zone.clone() , - _ => "".to_string() - } - ).collect(); - - let node_capacity = self.node_id_vec.iter().map( - |id_nod| match self.node_role(id_nod) { - Some(NodeRole{zone:_,capacity,tags:_}) => - if let Some(c)=capacity - {*c} - else {0}, - _ => 0 - } - ).collect(); - - (node_zone,node_capacity) - } + //We compute a candidate for the new partition to zone + //assignation. + let nb_zones = part_per_zone.len(); + let nb_nodes = part_per_nod.len(); + let nb_partitions = 1 << PARTITION_BITS; + let left_cap_vec = vec![self.replication_factor as u32; nb_partitions]; + let right_cap_vec = part_per_zone_vec.iter().map(|(_, y)| *y as u32).collect(); + let mut zone_assignation = dinic_compute_matching(left_cap_vec, right_cap_vec); + + //We create the structure for the partition-to-node assignation. + let mut node_assignation = vec![vec![None; self.replication_factor]; nb_partitions]; + //We will decrement part_per_nod to keep track of the number + //of partitions that we still have to associate. + let mut part_per_nod = part_per_nod.clone(); + + //We minimize the distance to the former assignation(if any) + + //We get the id of the zones of the former assignation + //(and the id no_zone if there is no node assignated) + let no_zone = part_per_zone_vec.len(); + let old_zone_assignation: Vec> = old_node_assignation + .iter() + .map(|x| { + x.iter() + .map(|id| match *id { + Some(i) => zone_id[&node_zone[i]], + None => no_zone, + }) + .collect() + }) + .collect(); + + //We minimize the distance to the former zone assignation + zone_assignation = + optimize_matching(&old_zone_assignation, &zone_assignation, nb_zones + 1); //+1 for no_zone + + //We need to assign partitions to nodes in their zone + //We first put the nodes assignation that can stay the same + for i in 0..nb_partitions { + for j in 0..self.replication_factor { + if let Some(Some(former_node)) = old_node_assignation[i].iter().find(|x| { + if let Some(id) = x { + zone_id[&node_zone[*id]] == zone_assignation[i][j] + } else { + false + } + }) { + if part_per_nod[*former_node] > 0 { + node_assignation[i][j] = Some(*former_node); + part_per_nod[*former_node] -= 1; + } + } + } + } -} + //We complete the assignation of partitions to nodes + let mut rng = rand::thread_rng(); + for i in 0..nb_partitions { + for j in 0..self.replication_factor { + if node_assignation[i][j] == None { + let possible_nodes: Vec = (0..nb_nodes) + .filter(|id| { + zone_id[&node_zone[*id]] == zone_assignation[i][j] + && part_per_nod[*id] > 0 + }) + .collect(); + assert!(possible_nodes.len() > 0); + //We randomly pick a node + if let Some(nod) = possible_nodes.choose(&mut rng) { + node_assignation[i][j] = Some(*nod); + part_per_nod[*nod] -= 1; + } + } + } + } + + //We write the assignation in the 1D table + self.ring_assignation_data = Vec::::new(); + for i in 0..nb_partitions { + for j in 0..self.replication_factor { + if let Some(id) = node_assignation[i][j] { + self.ring_assignation_data.push(id as CompactNodeType); + } else { + assert!(false) + } + } + } + true + } else { + false + } + } + + /// The LwwMap of node roles might have changed. This function updates the node_id_vec + /// and returns the assignation given by ring, with the new indices of the nodes, and + /// None of the node is not present anymore. + /// We work with the assumption that only this function and calculate_new_assignation + /// do modify assignation_ring and node_id_vec. + fn update_nodes_and_ring(&mut self) -> Vec>> { + let nb_partitions = 1usize << PARTITION_BITS; + let mut node_assignation = vec![vec![None; self.replication_factor]; nb_partitions]; + let rf = self.replication_factor; + let ring = &self.ring_assignation_data; + + let new_node_id_vec: Vec = self.roles.items().iter().map(|(k, _, _)| *k).collect(); + + if ring.len() == rf * nb_partitions { + for i in 0..nb_partitions { + for j in 0..self.replication_factor { + node_assignation[i][j] = new_node_id_vec + .iter() + .position(|id| *id == self.node_id_vec[ring[i * rf + j] as usize]); + } + } + } + + self.node_id_vec = new_node_id_vec; + self.ring_assignation_data = vec![]; + return node_assignation; + } + + ///This function compute the number of partition to assign to + ///every node and zone, so that every partition is replicated + ///self.replication_factor times and the capacity of a partition + ///is maximized. + fn optimal_proportions(&mut self) -> Option<(Vec, HashMap)> { + let mut zone_capacity: HashMap = HashMap::new(); + + let (node_zone, node_capacity) = self.get_node_zone_capacity(); + let nb_nodes = self.node_id_vec.len(); + + for i in 0..nb_nodes { + if zone_capacity.contains_key(&node_zone[i]) { + zone_capacity.insert( + node_zone[i].clone(), + zone_capacity[&node_zone[i]] + node_capacity[i], + ); + } else { + zone_capacity.insert(node_zone[i].clone(), node_capacity[i]); + } + } + + //Compute the optimal number of partitions per zone + let sum_capacities: u32 = zone_capacity.values().sum(); + + if sum_capacities <= 0 { + println!("No storage capacity in the network."); + return None; + } + + let nb_partitions = 1 << PARTITION_BITS; + + //Initially we would like to use zones porportionally to + //their capacity. + //However, a large zone can be associated to at most + //nb_partitions to ensure replication of the date. + //So we take the min with nb_partitions: + let mut part_per_zone: HashMap = zone_capacity + .iter() + .map(|(k, v)| { + ( + k.clone(), + min( + nb_partitions, + (self.replication_factor * nb_partitions * *v as usize) + / sum_capacities as usize, + ), + ) + }) + .collect(); + + //The replication_factor-1 upper bounds the number of + //part_per_zones that are greater than nb_partitions + for _ in 1..self.replication_factor { + //The number of partitions that are not assignated to + //a zone that takes nb_partitions. + let sum_capleft: u32 = zone_capacity + .keys() + .filter(|k| part_per_zone[*k] < nb_partitions) + .map(|k| zone_capacity[k]) + .sum(); + + //The number of replication of the data that we need + //to ensure. + let repl_left = self.replication_factor + - part_per_zone + .values() + .filter(|x| **x == nb_partitions) + .count(); + if repl_left == 0 { + break; + } + + for k in zone_capacity.keys() { + if part_per_zone[k] != nb_partitions { + part_per_zone.insert( + k.to_string(), + min( + nb_partitions, + (nb_partitions * zone_capacity[k] as usize * repl_left) + / sum_capleft as usize, + ), + ); + } + } + } + + //Now we divide the zone's partition share proportionally + //between their nodes. + + let mut part_per_nod: Vec = (0..nb_nodes) + .map(|i| { + (part_per_zone[&node_zone[i]] * node_capacity[i] as usize) + / zone_capacity[&node_zone[i]] as usize + }) + .collect(); + + //We must update the part_per_zone to make it correspond to + //part_per_nod (because of integer rounding) + part_per_zone = part_per_zone.iter().map(|(k, _)| (k.clone(), 0)).collect(); + for i in 0..nb_nodes { + part_per_zone.insert( + node_zone[i].clone(), + part_per_zone[&node_zone[i]] + part_per_nod[i], + ); + } + + //Because of integer rounding, the total sum of part_per_nod + //might not be replication_factor*nb_partitions. + // We need at most to add 1 to every non maximal value of + // part_per_nod. The capacity of a partition will be bounded + // by the minimal value of + // node_capacity_vec[i]/part_per_nod[i] + // so we try to maximize this minimal value, keeping the + // part_per_zone capped + + let discrepancy: usize = + nb_partitions * self.replication_factor - part_per_nod.iter().sum::(); + + //We use a stupid O(N^2) algorithm. If the number of nodes + //is actually expected to be high, one should optimize this. + + for _ in 0..discrepancy { + if let Some(idmax) = (0..nb_nodes) + .filter(|i| part_per_zone[&node_zone[*i]] < nb_partitions) + .max_by(|i, j| { + (node_capacity[*i] * (part_per_nod[*j] + 1) as u32) + .cmp(&(node_capacity[*j] * (part_per_nod[*i] + 1) as u32)) + }) { + part_per_nod[idmax] += 1; + part_per_zone.insert( + node_zone[idmax].clone(), + part_per_zone[&node_zone[idmax]] + 1, + ); + } + } + //We check the algorithm consistency + + let discrepancy: usize = + nb_partitions * self.replication_factor - part_per_nod.iter().sum::(); + assert!(discrepancy == 0); + assert!(if let Some(v) = part_per_zone.values().max() { + *v <= nb_partitions + } else { + false + }); + + Some((part_per_nod, part_per_zone)) + } + + //Returns vectors of zone and capacity; indexed by the same (temporary) + //indices as node_id_vec. + fn get_node_zone_capacity(&self) -> (Vec, Vec) { + let node_zone = self + .node_id_vec + .iter() + .map(|id_nod| match self.node_role(id_nod) { + Some(NodeRole { + zone, + capacity: _, + tags: _, + }) => zone.clone(), + _ => "".to_string(), + }) + .collect(); + + let node_capacity = self + .node_id_vec + .iter() + .map(|id_nod| match self.node_role(id_nod) { + Some(NodeRole { + zone: _, + capacity, + tags: _, + }) => { + if let Some(c) = capacity { + *c + } else { + 0 + } + } + _ => 0, + }) + .collect(); + + (node_zone, node_capacity) + } +} #[cfg(test)] mod tests { - use super::*; - use itertools::Itertools; - - fn check_assignation(cl : &ClusterLayout) { - - //Check that input data has the right format - let nb_partitions = 1usize<>(); - - let zone_vec = node_zone.iter().unique().collect::>(); - let zone_nb_part = zone_vec.iter().map( |z| cl.ring_assignation_data.iter() - .filter(|x| node_zone[**x as usize] == **z) - .count() - ).collect::>(); - - //Check optimality of the zone assignation : would it be better for the - //node_capacity/node_partitions ratio to change the assignation of a partition - - if let Some(idmin) = (0..nb_nodes).min_by( - |i,j| (node_capacity[*i]*node_nb_part[*j] as u32) - .cmp(&(node_capacity[*j]*node_nb_part[*i] as u32)) - ){ - if let Some(idnew) = (0..nb_nodes) - .filter( |i| if let Some(p) = zone_vec.iter().position(|z| **z==node_zone[*i]) - {zone_nb_part[p] < nb_partitions } - else { false }) - .max_by( - |i,j| (node_capacity[*i]*(node_nb_part[*j]as u32+1)) - .cmp(&(node_capacity[*j]*(node_nb_part[*i] as u32+1))) - ){ - assert!(node_capacity[idmin]*(node_nb_part[idnew] as u32+1) >= - node_capacity[idnew]*node_nb_part[idmin] as u32); - } - - } - - //In every zone, check optimality of the nod assignation - for z in zone_vec { - let node_of_z_iter = (0..nb_nodes).filter(|id| node_zone[*id] == *z ); - if let Some(idmin) = node_of_z_iter.clone().min_by( - |i,j| (node_capacity[*i]*node_nb_part[*j] as u32) - .cmp(&(node_capacity[*j]*node_nb_part[*i] as u32)) - ){ - if let Some(idnew) = node_of_z_iter.min_by( - |i,j| (node_capacity[*i]*(node_nb_part[*j] as u32+1)) - .cmp(&(node_capacity[*j]*(node_nb_part[*i] as u32+1))) - ){ - assert!(node_capacity[idmin]*(node_nb_part[idnew] as u32+1) >= - node_capacity[idnew]*node_nb_part[idmin] as u32); - } - } - } - - } - - fn update_layout(cl : &mut ClusterLayout, node_id_vec : &Vec, - node_capacity_vec : &Vec , node_zone_vec : &Vec) { - for i in 0..node_id_vec.len(){ - if let Some(x) = FixedBytes32::try_from(&[i as u8;32]) { - cl.node_id_vec.push(x); - } - - let update = cl.roles.update_mutator(cl.node_id_vec[i] , - NodeRoleV(Some(NodeRole{ - zone : (node_zone_vec[i].to_string()), - capacity : (Some(node_capacity_vec[i])), - tags : (vec![])}))); - cl.roles.merge(&update); - } - } - - #[test] - fn test_assignation() { - - 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().map(|x| x.to_string()).collect(); - - let mut cl = ClusterLayout { - node_id_vec: vec![], - - roles : LwwMap::new(), - - replication_factor: 3, - ring_assignation_data : vec![], - version:0, - staging: LwwMap::new(), - staging_hash: sha256sum(&[1;32]), - }; - update_layout(&mut cl, &node_id_vec, &node_capacity_vec, &node_zone_vec); - cl.calculate_partition_assignation(); - check_assignation(&cl); - - 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]; - node_zone_vec= vec!["A", "B", "C", "C", "C", "B", "G", "H", "I"].into_iter().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); - - 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); - - - node_capacity_vec = vec![4000,4000,2000, 7000, 1000, 9000, 2000, 10, 2000]; - update_layout(&mut cl, &node_id_vec, &node_capacity_vec, &node_zone_vec); - cl.calculate_partition_assignation(); - check_assignation(&cl); - - } -} + use super::*; + use itertools::Itertools; + + fn check_assignation(cl: &ClusterLayout) { + //Check that input data has the right format + let nb_partitions = 1usize << PARTITION_BITS; + assert!([1, 2, 3].contains(&cl.replication_factor)); + assert!(cl.ring_assignation_data.len() == nb_partitions * cl.replication_factor); + + let (node_zone, node_capacity) = cl.get_node_zone_capacity(); + + //Check that is is a correct assignation with zone redundancy + let rf = cl.replication_factor; + for i in 0..nb_partitions { + assert!( + rf == cl.ring_assignation_data[rf * i..rf * (i + 1)] + .iter() + .map(|nod| node_zone[*nod as usize].clone()) + .unique() + .count() + ); + } + + let nb_nodes = cl.node_id_vec.len(); + //Check optimality + let node_nb_part = (0..nb_nodes) + .map(|i| { + cl.ring_assignation_data + .iter() + .filter(|x| **x == i as u8) + .count() + }) + .collect::>(); + + let zone_vec = node_zone.iter().unique().collect::>(); + let zone_nb_part = zone_vec + .iter() + .map(|z| { + cl.ring_assignation_data + .iter() + .filter(|x| node_zone[**x as usize] == **z) + .count() + }) + .collect::>(); + + //Check optimality of the zone assignation : would it be better for the + //node_capacity/node_partitions ratio to change the assignation of a partition + + if let Some(idmin) = (0..nb_nodes).min_by(|i, j| { + (node_capacity[*i] * node_nb_part[*j] as u32) + .cmp(&(node_capacity[*j] * node_nb_part[*i] as u32)) + }) { + if let Some(idnew) = (0..nb_nodes) + .filter(|i| { + if let Some(p) = zone_vec.iter().position(|z| **z == node_zone[*i]) { + zone_nb_part[p] < nb_partitions + } else { + false + } + }) + .max_by(|i, j| { + (node_capacity[*i] * (node_nb_part[*j] as u32 + 1)) + .cmp(&(node_capacity[*j] * (node_nb_part[*i] as u32 + 1))) + }) { + assert!( + node_capacity[idmin] * (node_nb_part[idnew] as u32 + 1) + >= node_capacity[idnew] * node_nb_part[idmin] as u32 + ); + } + } + + //In every zone, check optimality of the nod assignation + for z in zone_vec { + let node_of_z_iter = (0..nb_nodes).filter(|id| node_zone[*id] == *z); + if let Some(idmin) = node_of_z_iter.clone().min_by(|i, j| { + (node_capacity[*i] * node_nb_part[*j] as u32) + .cmp(&(node_capacity[*j] * node_nb_part[*i] as u32)) + }) { + if let Some(idnew) = node_of_z_iter.min_by(|i, j| { + (node_capacity[*i] * (node_nb_part[*j] as u32 + 1)) + .cmp(&(node_capacity[*j] * (node_nb_part[*i] as u32 + 1))) + }) { + assert!( + node_capacity[idmin] * (node_nb_part[idnew] as u32 + 1) + >= node_capacity[idnew] * node_nb_part[idmin] as u32 + ); + } + } + } + } + + fn update_layout( + cl: &mut ClusterLayout, + node_id_vec: &Vec, + node_capacity_vec: &Vec, + node_zone_vec: &Vec, + ) { + for i in 0..node_id_vec.len() { + if let Some(x) = FixedBytes32::try_from(&[i as u8; 32]) { + cl.node_id_vec.push(x); + } + let update = cl.roles.update_mutator( + cl.node_id_vec[i], + NodeRoleV(Some(NodeRole { + zone: (node_zone_vec[i].to_string()), + capacity: (Some(node_capacity_vec[i])), + tags: (vec![]), + })), + ); + cl.roles.merge(&update); + } + } + + #[test] + fn test_assignation() { + 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() + .map(|x| x.to_string()) + .collect(); + + let mut cl = ClusterLayout { + node_id_vec: vec![], + roles: LwwMap::new(), + replication_factor: 3, + ring_assignation_data: vec![], + version: 0, + staging: LwwMap::new(), + staging_hash: sha256sum(&[1; 32]), + }; + update_layout(&mut cl, &node_id_vec, &node_capacity_vec, &node_zone_vec); + cl.calculate_partition_assignation(); + check_assignation(&cl); + + 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]; + node_zone_vec = vec!["A", "B", "C", "C", "C", "B", "G", "H", "I"] + .into_iter() + .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); + + 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); + + node_capacity_vec = vec![4000, 4000, 2000, 7000, 1000, 9000, 2000, 10, 2000]; + update_layout(&mut cl, &node_id_vec, &node_capacity_vec, &node_zone_vec); + cl.calculate_partition_assignation(); + check_assignation(&cl); + } +} -- cgit v1.2.3