src/garage/cli/layout.rs

@@ -210,7 +210,7 @@ pub async fn cmd_show_layout(
                     v + 1)
 			}
 			Err(e) => {
-				println!("Error while trying to compute the assignation: {}", e);
+				println!("Error while trying to compute the assignment: {}", e);
 				println!("This new layout cannot yet be applied.");
 				println!(
                     "You can also revert all proposed changes with: garage layout revert --version {}",
@@ -236,7 +236,7 @@ pub async fn cmd_apply_layout(
 
 	send_layout(rpc_cli, rpc_host, layout).await?;
 
-	println!("New cluster layout with updated role assignation has been applied in cluster.");
+	println!("New cluster layout with updated role assignment has been applied in cluster.");
 	println!("Data will now be moved around between nodes accordingly.");
 
 	Ok(())

src/garage/cli/structs.rs

@@ -17,7 +17,7 @@ pub enum Command {
 	#[structopt(name = "node", version = garage_version())]
 	Node(NodeOperation),
 
-	/// Operations on the assignation of node roles in the cluster layout
+	/// Operations on the assignment of node roles in the cluster layout
 	#[structopt(name = "layout", version = garage_version())]
 	Layout(LayoutOperation),
 

src/rpc/graph_algo.rs

@@ -1,5 +1,5 @@
 //! This module deals with graph algorithms.
-//! It is used in layout.rs to build the partition to node assignation.
+//! It is used in layout.rs to build the partition to node assignment.
 
 use rand::prelude::SliceRandom;
 use std::cmp::{max, min};
@@ -177,7 +177,7 @@ impl Graph<FlowEdge> {
 		let flow_upper_bound = self.flow_upper_bound()?;
 
 		// To ensure the dispersion of the associations generated by the
-		// assignation, we shuffle the neighbours of the nodes. Hence,
+		// assignment, we shuffle the neighbours of the nodes. Hence,
 		// the vertices do not consider their neighbours in the same order.
 		self.shuffle_edges();
 

src/rpc/layout.rs

@@ -34,8 +34,8 @@ pub struct ClusterLayout {
 	/// This attribute is only used to retain the previously computed partition size,
 	/// to know to what extent does it change with the layout update.
 	pub partition_size: u64,
-	/// Parameters used to compute the assignation currently given by
-	/// ring_assignation_data
+	/// Parameters used to compute the assignment currently given by
+	/// ring_assignment_data
 	pub parameters: LayoutParameters,
 
 	pub roles: LwwMap<Uuid, NodeRoleV>,
@@ -48,12 +48,12 @@ pub struct ClusterLayout {
 	/// 2. nodes that don't have a role are excluded (but they need to
 	///    stay in the CRDT as tombstones)
 	pub node_id_vec: Vec<Uuid>,
-	/// the assignation of data partitions to node, the values
+	/// the assignment of data partitions to node, the values
 	/// are indices in node_id_vec
 	#[serde(with = "serde_bytes")]
-	pub ring_assignation_data: Vec<CompactNodeType>,
+	pub ring_assignment_data: Vec<CompactNodeType>,
 
-	/// Parameters to be used in the next partition assignation computation.
+	/// Parameters to be used in the next partition assignment computation.
 	pub staging_parameters: Lww<LayoutParameters>,
 	/// Role changes which are staged for the next version of the layout
 	pub staging_roles: LwwMap<Uuid, NodeRoleV>,
@@ -61,7 +61,7 @@ pub struct ClusterLayout {
 }
 impl garage_util::migrate::InitialFormat for ClusterLayout {}
 
-/// This struct is used to set the parameters to be used in the assignation computation
+/// This struct is used to set the parameters to be used in the assignment computation
 /// algorithm. It is stored as a Crdt.
 #[derive(PartialEq, Eq, PartialOrd, Ord, Clone, Debug, Serialize, Deserialize)]
 pub struct LayoutParameters {
@@ -106,7 +106,7 @@ impl NodeRole {
 	}
 }
 
-// Implementation of the ClusterLayout methods unrelated to the assignation algorithm.
+// Implementation of the ClusterLayout methods unrelated to the assignment algorithm.
 impl ClusterLayout {
 	pub fn new(replication_factor: usize) -> Self {
 		// We set the default zone redundancy to be equal to the replication factor,
@@ -124,7 +124,7 @@ impl ClusterLayout {
 			partition_size: 0,
 			roles: LwwMap::new(),
 			node_id_vec: Vec::new(),
-			ring_assignation_data: Vec::new(),
+			ring_assignment_data: Vec::new(),
 			parameters,
 			staging_parameters,
 			staging_roles: empty_lwwmap,
@@ -183,7 +183,7 @@ To know the correct value of the new layout version, invoke `garage layout show`
 		self.staging_roles.clear();
 		self.staging_hash = self.calculate_staging_hash();
 
-		let msg = self.calculate_partition_assignation()?;
+		let msg = self.calculate_partition_assignment()?;
 
 		self.version += 1;
 
@@ -276,7 +276,7 @@ To know the correct value of the new layout version, invoke `garage layout show`
 		for (i, id) in self.node_id_vec.iter().enumerate() {
 			if id == uuid {
 				let mut count = 0;
-				for nod in self.ring_assignation_data.iter() {
+				for nod in self.ring_assignment_data.iter() {
 					if i as u8 == *nod {
 						count += 1
 					}
@@ -301,7 +301,7 @@ To know the correct value of the new layout version, invoke `garage layout show`
 	}
 
 	/// Check a cluster layout for internal consistency
-	/// (assignation, roles, parameters, partition size)
+	/// (assignment, roles, parameters, partition size)
 	/// returns true if consistent, false if error
 	pub fn check(&self) -> Result<(), String> {
 		// Check that the hash of the staging data is correct
@@ -325,37 +325,37 @@ To know the correct value of the new layout version, invoke `garage layout show`
 			return Err(format!("node_id_vec does not contain the correct set of nodes\nnode_id_vec: {:?}\nexpected: {:?}", node_id_vec, expected_nodes));
 		}
 
-		// Check that the assignation data has the correct length
-		let expected_assignation_data_len = (1 << PARTITION_BITS) * self.replication_factor;
-		if self.ring_assignation_data.len() != expected_assignation_data_len {
+		// Check that the assignment data has the correct length
+		let expected_assignment_data_len = (1 << PARTITION_BITS) * self.replication_factor;
+		if self.ring_assignment_data.len() != expected_assignment_data_len {
 			return Err(format!(
-				"ring_assignation_data has incorrect length {} instead of {}",
-				self.ring_assignation_data.len(),
-				expected_assignation_data_len
+				"ring_assignment_data has incorrect length {} instead of {}",
+				self.ring_assignment_data.len(),
+				expected_assignment_data_len
 			));
 		}
 
 		// Check that the assigned nodes are correct identifiers
 		// of nodes that are assigned a role
 		// and that role is not the role of a gateway nodes
-		for x in self.ring_assignation_data.iter() {
+		for x in self.ring_assignment_data.iter() {
 			if *x as usize >= self.node_id_vec.len() {
 				return Err(format!(
-					"ring_assignation_data contains invalid node id {}",
+					"ring_assignment_data contains invalid node id {}",
 					*x
 				));
 			}
 			let node = self.node_id_vec[*x as usize];
 			match self.roles.get(&node) {
 				Some(NodeRoleV(Some(x))) if x.capacity.is_some() => (),
-				_ => return Err("ring_assignation_data contains id of a gateway node".into()),
+				_ => return Err("ring_assignment_data contains id of a gateway node".into()),
 			}
 		}
 
 		// Check that every partition is associated to distinct nodes
 		let rf = self.replication_factor;
 		for p in 0..(1 << PARTITION_BITS) {
-			let nodes_of_p = self.ring_assignation_data[rf * p..rf * (p + 1)].to_vec();
+			let nodes_of_p = self.ring_assignment_data[rf * p..rf * (p + 1)].to_vec();
 			if nodes_of_p.iter().unique().count() != rf {
 				return Err(format!("partition does not contain {} unique node ids", rf));
 			}
@@ -378,7 +378,7 @@ To know the correct value of the new layout version, invoke `garage layout show`
 
 		// Check that the nodes capacities is consistent with the stored partitions
 		let mut node_usage = vec![0; MAX_NODE_NUMBER];
-		for n in self.ring_assignation_data.iter() {
+		for n in self.ring_assignment_data.iter() {
 			node_usage[*n as usize] += 1;
 		}
 		for (n, usage) in node_usage.iter().enumerate() {
@@ -415,21 +415,21 @@ To know the correct value of the new layout version, invoke `garage layout show`
 	}
 }
 
-// Implementation of the ClusterLayout methods related to the assignation algorithm.
+// Implementation of the ClusterLayout methods related to the assignment algorithm.
 impl ClusterLayout {
-	/// This function calculates a new partition-to-node assignation.
-	/// The computed assignation respects the node replication factor
+	/// This function calculates a new partition-to-node assignment.
+	/// The computed assignment respects the node replication factor
 	/// and the zone redundancy parameter It 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
+	/// Among such optimal assignment, it minimizes the distance to
+	/// the former assignment (if any) to minimize the amount of
 	/// data to be moved.
 	/// Staged role changes must be merged with nodes roles before calling this function,
 	/// hence it must only be called from apply_staged_changes() and hence is not public.
-	fn calculate_partition_assignation(&mut self) -> Result<Message, Error> {
+	fn calculate_partition_assignment(&mut self) -> Result<Message, Error> {
 		// We update the node ids, since the node role list might have changed with the
-		// changes in the layout. We retrieve the old_assignation reframed with new ids
-		let old_assignation_opt = self.update_node_id_vec()?;
+		// changes in the layout. We retrieve the old_assignment reframed with new ids
+		let old_assignment_opt = self.update_node_id_vec()?;
 
 		let mut msg = Message::new();
 		msg.push("==== COMPUTATION OF A NEW PARTITION ASSIGNATION ====".into());
@@ -467,7 +467,7 @@ impl ClusterLayout {
 		// optimality.
 		let partition_size = self.compute_optimal_partition_size(&zone_to_id)?;
 
-		if old_assignation_opt != None {
+		if old_assignment_opt != None {
 			msg.push(format!(
 				"Optimal size of a partition: {} (was {} in the previous layout).",
 				ByteSize::b(partition_size).to_string_as(false),
@@ -490,16 +490,16 @@ impl ClusterLayout {
 			);
 		}
 
-		// We compute a first flow/assignation that is heuristically close to the previous
-		// assignation
-		let mut gflow = self.compute_candidate_assignation(&zone_to_id, &old_assignation_opt)?;
-		if let Some(assoc) = &old_assignation_opt {
-			// We minimize the distance to the previous assignation.
+		// We compute a first flow/assignment that is heuristically close to the previous
+		// assignment
+		let mut gflow = self.compute_candidate_assignment(&zone_to_id, &old_assignment_opt)?;
+		if let Some(assoc) = &old_assignment_opt {
+			// We minimize the distance to the previous assignment.
 			self.minimize_rebalance_load(&mut gflow, &zone_to_id, assoc)?;
 		}
 
 		// We display statistics of the computation
-		msg.extend(self.output_stat(&gflow, &old_assignation_opt, &zone_to_id, &id_to_zone)?);
+		msg.extend(self.output_stat(&gflow, &old_assignment_opt, &zone_to_id, &id_to_zone)?);
 		msg.push("".to_string());
 
 		// We update the layout structure
@@ -515,10 +515,10 @@ impl ClusterLayout {
 	}
 
 	/// 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
+	/// and returns the assignment given by ring, with the new indices of the nodes, and
 	/// None if 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.
+	/// We work with the assumption that only this function and calculate_new_assignment
+	/// do modify assignment_ring and node_id_vec.
 	fn update_node_id_vec(&mut self) -> Result<Option<Vec<Vec<usize>>>, Error> {
 		// (1) We compute the new node list
 		// Non gateway nodes should be coded on 8bits, hence they must be first in the list
@@ -556,15 +556,15 @@ impl ClusterLayout {
 
 		// (2) We retrieve the old association
 		// We rewrite the old association with the new indices. We only consider partition
-		// to node assignations where the node is still in use.
-		if self.ring_assignation_data.is_empty() {
+		// to node assignments where the node is still in use.
+		if self.ring_assignment_data.is_empty() {
 			// This is a new association
 			return Ok(None);
 		}
 
-		if self.ring_assignation_data.len() != NB_PARTITIONS * self.replication_factor {
+		if self.ring_assignment_data.len() != NB_PARTITIONS * self.replication_factor {
 			return Err(Error::Message(
-				"The old assignation does not have a size corresponding to \
+				"The old assignment does not have a size corresponding to \
                 the old replication factor or the number of partitions."
 					.into(),
 			));
@@ -579,11 +579,11 @@ impl ClusterLayout {
 			uuid_to_new_id.insert(*uuid, i);
 		}
 
-		let mut old_assignation = vec![Vec::<usize>::new(); NB_PARTITIONS];
+		let mut old_assignment = vec![Vec::<usize>::new(); NB_PARTITIONS];
 		let rf = self.replication_factor;
 
-		for (p, old_assign_p) in old_assignation.iter_mut().enumerate() {
-			for old_id in &self.ring_assignation_data[p * rf..(p + 1) * rf] {
+		for (p, old_assign_p) in old_assignment.iter_mut().enumerate() {
+			for old_id in &self.ring_assignment_data[p * rf..(p + 1) * rf] {
 				let uuid = old_node_id_vec[*old_id as usize];
 				if uuid_to_new_id.contains_key(&uuid) {
 					old_assign_p.push(uuid_to_new_id[&uuid]);
@@ -592,9 +592,9 @@ impl ClusterLayout {
 		}
 
 		// We write the ring
-		self.ring_assignation_data = Vec::<CompactNodeType>::new();
+		self.ring_assignment_data = Vec::<CompactNodeType>::new();
 
-		Ok(Some(old_assignation))
+		Ok(Some(old_assignment))
 	}
 
 	/// This function generates ids for the zone of the nodes appearing in
@@ -661,11 +661,11 @@ impl ClusterLayout {
 	}
 
 	/// Generates the graph to compute the maximal flow corresponding to the optimal
-	/// partition assignation.
+	/// partition assignment.
 	/// exclude_assoc is the set of (partition, node) association that we are forbidden
 	/// to use (hence we do not add the corresponding edge to the graph). This parameter
 	/// is used to compute a first flow that uses only edges appearing in the previous
-	/// assignation. This produces a solution that heuristically should be close to the
+	/// assignment. This produces a solution that heuristically should be close to the
 	/// previous one.
 	fn generate_flow_graph(
 		&self,
@@ -707,14 +707,14 @@ impl ClusterLayout {
 		Ok(g)
 	}
 
-	/// This function computes a first optimal assignation (in the form of a flow graph).
-	fn compute_candidate_assignation(
+	/// This function computes a first optimal assignment (in the form of a flow graph).
+	fn compute_candidate_assignment(
 		&self,
 		zone_to_id: &HashMap<String, usize>,
 		prev_assign_opt: &Option<Vec<Vec<usize>>>,
 	) -> Result<Graph<FlowEdge>, Error> {
 		// We list the (partition,node) associations that are not used in the
-		// previous assignation
+		// previous assignment
 		let mut exclude_edge = HashSet::<(usize, usize)>::new();
 		if let Some(prev_assign) = prev_assign_opt {
 			let nb_nodes = self.nongateway_nodes().len();
@@ -728,7 +728,7 @@ impl ClusterLayout {
 			}
 		}
 
-		// We compute the best flow using only the edges used in the previous assignation
+		// We compute the best flow using only the edges used in the previous assignment
 		let mut g = self.generate_flow_graph(self.partition_size, zone_to_id, &exclude_edge)?;
 		g.compute_maximal_flow()?;
 
@@ -744,7 +744,7 @@ impl ClusterLayout {
 	}
 
 	/// This function updates the flow graph gflow to minimize the distance between
-	/// its corresponding assignation and the previous one
+	/// its corresponding assignment and the previous one
 	fn minimize_rebalance_load(
 		&self,
 		gflow: &mut Graph<FlowEdge>,
@@ -752,7 +752,7 @@ impl ClusterLayout {
 		prev_assign: &[Vec<usize>],
 	) -> Result<(), Error> {
 		// We define a cost function on the edges (pairs of vertices) corresponding
-		// to the distance between the two assignations.
+		// to the distance between the two assignments.
 		let mut cost = CostFunction::new();
 		for (p, assoc_p) in prev_assign.iter().enumerate() {
 			for n in assoc_p.iter() {
@@ -771,25 +771,25 @@ impl ClusterLayout {
 		Ok(())
 	}
 
-	/// This function updates the assignation ring from the flow graph.
+	/// This function updates the assignment ring from the flow graph.
 	fn update_ring_from_flow(
 		&mut self,
 		nb_zones: usize,
 		gflow: &Graph<FlowEdge>,
 	) -> Result<(), Error> {
-		self.ring_assignation_data = Vec::<CompactNodeType>::new();
+		self.ring_assignment_data = Vec::<CompactNodeType>::new();
 		for p in 0..NB_PARTITIONS {
 			for z in 0..nb_zones {
 				let assoc_vertex = gflow.get_positive_flow_from(Vertex::PZ(p, z))?;
 				for vertex in assoc_vertex.iter() {
 					if let Vertex::N(n) = vertex {
-						self.ring_assignation_data.push((*n).try_into().unwrap());
+						self.ring_assignment_data.push((*n).try_into().unwrap());
 					}
 				}
 			}
 		}
 
-		if self.ring_assignation_data.len() != NB_PARTITIONS * self.replication_factor {
+		if self.ring_assignment_data.len() != NB_PARTITIONS * self.replication_factor {
 			return Err(Error::Message(
 				"Critical Error : the association ring we produced does not \
                        have the right size."
@@ -800,7 +800,7 @@ impl ClusterLayout {
 	}
 
 	/// This function returns a message summing up the partition repartition of the new
-	/// layout, and other statistics of the partition assignation computation.
+	/// layout, and other statistics of the partition assignment computation.
 	fn output_stat(
 		&self,
 		gflow: &Graph<FlowEdge>,
@@ -960,7 +960,7 @@ mod tests {
 
 	// This function checks that the partition size S computed is at least better than the
 	// one given by a very naive algorithm. To do so, we try to run the naive algorithm
-	// assuming a partion size of S+1. If we succed, it means that the optimal assignation
+	// assuming a partion size of S+1. If we succed, it means that the optimal assignment
 	// was not optimal. The naive algorithm is the following :
 	// - we compute the max number of partitions associated to every node, capped at the
 	// partition number. It gives the number of tokens of every node.
@@ -1065,7 +1065,7 @@ mod tests {
 	}
 
 	#[test]
-	fn test_assignation() {
+	fn test_assignment() {
 		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"]

src/rpc/ring.rs

@@ -63,12 +63,12 @@ struct RingEntry {
 impl Ring {
 	pub(crate) fn new(layout: ClusterLayout, replication_factor: usize) -> Self {
 		if replication_factor != layout.replication_factor {
-			warn!("Could not build ring: replication factor does not match between local configuration and network role assignation.");
+			warn!("Could not build ring: replication factor does not match between local configuration and network role assignment.");
 			return Self::empty(layout, replication_factor);
 		}
 
-		if layout.ring_assignation_data.len() != replication_factor * (1 << PARTITION_BITS) {
-			warn!("Could not build ring: network role assignation data has invalid length");
+		if layout.ring_assignment_data.len() != replication_factor * (1 << PARTITION_BITS) {
+			warn!("Could not build ring: network role assignment data has invalid length");
 			return Self::empty(layout, replication_factor);
 		}
 
@@ -78,7 +78,7 @@ impl Ring {
 				let top = (i as u16) << (16 - PARTITION_BITS);
 				let mut nodes_buf = [0u8; MAX_REPLICATION];
 				nodes_buf[..replication_factor].copy_from_slice(
-					&layout.ring_assignation_data
+					&layout.ring_assignment_data
 						[replication_factor * i..replication_factor * (i + 1)],
 				);
 				RingEntry {