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https://git.deuxfleurs.fr/Deuxfleurs/garage.git
synced 2024-12-22 23:26:35 +00:00
new layout: make zone_redundancy optionnal (if not set, is maximum)
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parent
2e229d4430
commit
015ccb39aa
3 changed files with 120 additions and 52 deletions
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@ -261,28 +261,35 @@ pub async fn cmd_config_layout(
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let mut did_something = false;
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match config_opt.redundancy {
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None => (),
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Some(r) => {
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if r > layout.replication_factor {
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println!(
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"The zone redundancy must be smaller or equal to the \
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replication factor ({}).",
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layout.replication_factor
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);
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} else if r < 1 {
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println!("The zone redundancy must be at least 1.");
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} else {
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layout
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.staging_parameters
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.update(LayoutParameters { zone_redundancy: r });
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println!("The new zone redundancy has been saved ({}).", r);
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Some(r_str) => {
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let r = r_str
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.parse::<ZoneRedundancy>()
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.ok_or_message("invalid zone redundancy value")?;
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if let ZoneRedundancy::AtLeast(r_int) = r {
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if r_int > layout.replication_factor {
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return Err(Error::Message(format!(
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"The zone redundancy must be smaller or equal to the \
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replication factor ({}).",
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layout.replication_factor
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)));
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} else if r_int < 1 {
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return Err(Error::Message(
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"The zone redundancy must be at least 1.".into(),
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));
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}
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}
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layout
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.staging_parameters
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.update(LayoutParameters { zone_redundancy: r });
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println!("The new zone redundancy has been saved ({}).", r);
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did_something = true;
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}
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}
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if !did_something {
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return Err(Error::Message(
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"Please specify an action for `garage layout config` to do".into(),
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"Please specify an action for `garage layout config`".into(),
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));
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}
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@ -143,9 +143,9 @@ pub struct RemoveRoleOpt {
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#[derive(StructOpt, Debug)]
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pub struct ConfigLayoutOpt {
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/// Zone redundancy parameter
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/// Zone redundancy parameter ('none'/'max' or integer)
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#[structopt(short = "r", long = "redundancy")]
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pub(crate) redundancy: Option<usize>,
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pub(crate) redundancy: Option<String>,
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}
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#[derive(StructOpt, Debug)]
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@ -1,6 +1,7 @@
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use std::cmp::Ordering;
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use std::collections::HashMap;
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use std::collections::HashSet;
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use std::fmt;
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use bytesize::ByteSize;
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use itertools::Itertools;
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@ -115,7 +116,16 @@ mod v09 {
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/// algorithm. It is stored as a Crdt.
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#[derive(PartialEq, Eq, PartialOrd, Ord, Clone, Copy, Debug, Serialize, Deserialize)]
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pub struct LayoutParameters {
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pub zone_redundancy: usize,
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pub zone_redundancy: ZoneRedundancy,
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}
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/// Zone redundancy: if set to AtLeast(x), the layout calculation will aim to store copies
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/// of each partition on at least that number of different zones.
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/// If None, copies will be stored on the maximum possible number of zones.
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#[derive(PartialEq, Eq, PartialOrd, Ord, Clone, Copy, Debug, Serialize, Deserialize)]
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pub enum ZoneRedundancy {
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AtLeast(usize),
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Maximum,
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}
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impl garage_util::migrate::Migrate for ClusterLayout {
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@ -125,7 +135,6 @@ mod v09 {
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fn migrate(previous: Self::Previous) -> Self {
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use itertools::Itertools;
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use std::collections::HashSet;
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// In the old layout, capacities are in an arbitrary unit,
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// but in the new layout they are in bytes.
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@ -152,17 +161,10 @@ mod v09 {
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.min()
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.unwrap_or(0);
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// Determine zone redundancy parameter
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let zone_redundancy = std::cmp::min(
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previous.replication_factor,
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roles
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.items()
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.iter()
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.filter_map(|(_, _, r)| r.0.as_ref().map(|p| p.zone.as_str()))
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.collect::<HashSet<&str>>()
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.len(),
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);
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let parameters = LayoutParameters { zone_redundancy };
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// By default, zone_redundancy is None (i.e. maximum possible value)
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let parameters = LayoutParameters {
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zone_redundancy: ZoneRedundancy::Maximum,
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};
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let mut res = Self {
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version: previous.version,
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@ -224,13 +226,37 @@ impl NodeRole {
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}
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}
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impl fmt::Display for ZoneRedundancy {
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fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
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match self {
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ZoneRedundancy::Maximum => write!(f, "maximum"),
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ZoneRedundancy::AtLeast(x) => write!(f, "{}", x),
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}
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}
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}
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impl core::str::FromStr for ZoneRedundancy {
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type Err = &'static str;
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fn from_str(s: &str) -> Result<Self, Self::Err> {
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match s {
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"none" | "max" | "maximum" => Ok(ZoneRedundancy::Maximum),
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x => {
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let v = x
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.parse::<usize>()
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.map_err(|_| "zone redundancy must be 'none'/'max' or an integer")?;
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Ok(ZoneRedundancy::AtLeast(v))
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}
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}
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}
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}
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// Implementation of the ClusterLayout methods unrelated to the assignment algorithm.
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impl ClusterLayout {
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pub fn new(replication_factor: usize) -> Self {
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// We set the default zone redundancy to be equal to the replication factor,
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// i.e. as strict as possible.
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// We set the default zone redundancy to be None, meaning that the maximum
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// possible value will be used depending on the cluster topology
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let parameters = LayoutParameters {
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zone_redundancy: replication_factor,
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zone_redundancy: ZoneRedundancy::Maximum,
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};
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let staging_parameters = Lww::<LayoutParameters>::new(parameters.clone());
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@ -418,6 +444,23 @@ To know the correct value of the new layout version, invoke `garage layout show`
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Ok(total_capacity)
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}
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/// Returns the effective value of the zone_redundancy parameter
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fn effective_zone_redundancy(&self) -> usize {
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match self.parameters.zone_redundancy {
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ZoneRedundancy::AtLeast(v) => v,
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ZoneRedundancy::Maximum => {
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let n_zones = self
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.roles
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.items()
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.iter()
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.filter_map(|(_, _, role)| role.0.as_ref().map(|x| x.zone.as_str()))
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.collect::<HashSet<&str>>()
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.len();
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std::cmp::min(n_zones, self.replication_factor)
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}
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}
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}
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/// Check a cluster layout for internal consistency
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/// (assignment, roles, parameters, partition size)
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/// returns true if consistent, false if error
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@ -471,6 +514,7 @@ To know the correct value of the new layout version, invoke `garage layout show`
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}
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// Check that every partition is associated to distinct nodes
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let zone_redundancy = self.effective_zone_redundancy();
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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_assignment_data[rf * p..rf * (p + 1)].to_vec();
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@ -485,11 +529,10 @@ To know the correct value of the new layout version, invoke `garage layout show`
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.expect("Zone not found.")
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})
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.collect::<Vec<_>>();
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let redundancy = self.parameters.zone_redundancy;
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if zones_of_p.iter().unique().count() < redundancy {
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if zones_of_p.iter().unique().count() < zone_redundancy {
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return Err(format!(
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"nodes of partition are in less than {} distinct zones",
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redundancy
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zone_redundancy
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));
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}
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}
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@ -518,7 +561,7 @@ To know the correct value of the new layout version, invoke `garage layout show`
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// algorithm.
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let cl2 = self.clone();
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let (_, zone_to_id) = cl2.generate_nongateway_zone_ids().unwrap();
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match cl2.compute_optimal_partition_size(&zone_to_id) {
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match cl2.compute_optimal_partition_size(&zone_to_id, zone_redundancy) {
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Ok(s) if s != self.partition_size => {
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return Err(format!(
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"partition_size ({}) is different than optimal value ({})",
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@ -533,6 +576,8 @@ To know the correct value of the new layout version, invoke `garage layout show`
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}
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}
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// ====================================================================================
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// Implementation of the ClusterLayout methods related to the assignment algorithm.
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impl ClusterLayout {
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/// This function calculates a new partition-to-node assignment.
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@ -549,13 +594,15 @@ impl ClusterLayout {
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// changes in the layout. We retrieve the old_assignment reframed with new ids
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let old_assignment_opt = self.update_node_id_vec()?;
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let zone_redundancy = self.effective_zone_redundancy();
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let mut msg = Message::new();
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msg.push("==== COMPUTATION OF A NEW PARTITION ASSIGNATION ====".into());
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msg.push("".into());
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msg.push(format!(
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"Partitions are \
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replicated {} times on at least {} distinct zones.",
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self.replication_factor, self.parameters.zone_redundancy
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self.replication_factor, zone_redundancy
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));
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// We generate for once numerical ids for the zones of non gateway nodes,
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@ -570,12 +617,12 @@ impl ClusterLayout {
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nb_nongateway_nodes, self.replication_factor
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)));
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}
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if id_to_zone.len() < self.parameters.zone_redundancy {
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if id_to_zone.len() < zone_redundancy {
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return Err(Error::Message(format!(
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"The number of zones with non-gateway \
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nodes ({}) is smaller than the redundancy parameter ({})",
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id_to_zone.len(),
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self.parameters.zone_redundancy
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zone_redundancy
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)));
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}
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@ -583,7 +630,7 @@ impl ClusterLayout {
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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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let partition_size = self.compute_optimal_partition_size(&zone_to_id, zone_redundancy)?;
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msg.push("".into());
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if old_assignment_opt != None {
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@ -610,7 +657,8 @@ 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_assignment_opt)?;
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let mut gflow =
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self.compute_candidate_assignment(&zone_to_id, &old_assignment_opt, zone_redundancy)?;
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if let Some(assoc) = &old_assignment_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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@ -735,9 +783,10 @@ impl ClusterLayout {
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fn compute_optimal_partition_size(
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&self,
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zone_to_id: &HashMap<String, usize>,
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zone_redundancy: usize,
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) -> Result<u64, Error> {
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let empty_set = HashSet::<(usize, usize)>::new();
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let mut g = self.generate_flow_graph(1, zone_to_id, &empty_set)?;
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let mut g = self.generate_flow_graph(1, zone_to_id, &empty_set, zone_redundancy)?;
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g.compute_maximal_flow()?;
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if g.get_flow_value()? < (NB_PARTITIONS * self.replication_factor) as i64 {
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return Err(Error::Message(
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@ -750,7 +799,12 @@ impl ClusterLayout {
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let mut s_down = 1;
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let mut s_up = self.get_total_capacity()?;
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while s_down + 1 < s_up {
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g = self.generate_flow_graph((s_down + s_up) / 2, zone_to_id, &empty_set)?;
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g = self.generate_flow_graph(
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(s_down + s_up) / 2,
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zone_to_id,
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&empty_set,
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zone_redundancy,
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)?;
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g.compute_maximal_flow()?;
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if g.get_flow_value()? < (NB_PARTITIONS * self.replication_factor) as i64 {
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s_up = (s_down + s_up) / 2;
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@ -789,18 +843,18 @@ impl ClusterLayout {
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partition_size: u64,
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zone_to_id: &HashMap<String, usize>,
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exclude_assoc: &HashSet<(usize, usize)>,
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zone_redundancy: usize,
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) -> Result<Graph<FlowEdge>, Error> {
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let vertices =
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ClusterLayout::generate_graph_vertices(zone_to_id.len(), self.nongateway_nodes().len());
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let mut g = Graph::<FlowEdge>::new(&vertices);
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let nb_zones = zone_to_id.len();
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let redundancy = self.parameters.zone_redundancy;
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for p in 0..NB_PARTITIONS {
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g.add_edge(Vertex::Source, Vertex::Pup(p), redundancy as u64)?;
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g.add_edge(Vertex::Source, Vertex::Pup(p), zone_redundancy as u64)?;
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g.add_edge(
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Vertex::Source,
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Vertex::Pdown(p),
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(self.replication_factor - redundancy) as u64,
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(self.replication_factor - zone_redundancy) as u64,
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)?;
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for z in 0..nb_zones {
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g.add_edge(Vertex::Pup(p), Vertex::PZ(p, z), 1)?;
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@ -829,6 +883,7 @@ impl ClusterLayout {
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&self,
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zone_to_id: &HashMap<String, usize>,
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prev_assign_opt: &Option<Vec<Vec<usize>>>,
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zone_redundancy: usize,
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) -> Result<Graph<FlowEdge>, Error> {
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// We list the (partition,node) associations that are not used in the
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// previous assignment
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@ -846,7 +901,12 @@ impl ClusterLayout {
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}
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// We compute the best flow using only the edges used in the previous assignment
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let mut g = self.generate_flow_graph(self.partition_size, zone_to_id, &exclude_edge)?;
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let mut g = self.generate_flow_graph(
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self.partition_size,
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zone_to_id,
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&exclude_edge,
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zone_redundancy,
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)?;
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g.compute_maximal_flow()?;
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// We add the excluded edges and compute the maximal flow with the full graph.
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@ -997,7 +1057,7 @@ impl ClusterLayout {
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if *prev_assign_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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//new_partitions_zone = stored_partitions_zone.clone();
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}
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// We display the statistics
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@ -1124,7 +1184,7 @@ mod tests {
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let mut curr_zone = 0;
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let redundancy = cl.parameters.zone_redundancy;
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let redundancy = cl.effective_zone_redundancy();
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for replic in 0..cl.replication_factor {
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for p in 0..NB_PARTITIONS {
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@ -1176,8 +1236,9 @@ mod tests {
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);
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cl.staging_roles.merge(&update);
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}
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cl.staging_parameters
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.update(LayoutParameters { zone_redundancy });
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cl.staging_parameters.update(LayoutParameters {
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zone_redundancy: ZoneRedundancy::AtLeast(zone_redundancy),
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});
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cl.staging_hash = cl.calculate_staging_hash();
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}
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