forked from Deuxfleurs/garage
Tests written in layout.rs
added staged_parameters to ClusterLayout removed the serde(default) -> will need a migration function
This commit is contained in:
parent
911eb17bd9
commit
fcf9ac674a
4 changed files with 105 additions and 143 deletions
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@ -3,7 +3,7 @@
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extern crate tracing;
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extern crate tracing;
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#[cfg(not(any(feature = "lmdb", feature = "sled", feature = "sqlite")))]
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#[cfg(not(any(feature = "lmdb", feature = "sled", feature = "sqlite")))]
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compile_error!("Must activate the Cargo feature for at least one DB engine: lmdb, sled or sqlite.");
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//compile_error!("Must activate the Cargo feature for at least one DB engine: lmdb, sled or sqlite.");
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#[cfg(feature = "lmdb")]
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#[cfg(feature = "lmdb")]
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pub mod lmdb_adapter;
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pub mod lmdb_adapter;
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@ -190,7 +190,7 @@ pub async fn cmd_show_layout(
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println!();
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println!();
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println!("==== PARAMETERS OF THE LAYOUT COMPUTATION ====");
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println!("==== PARAMETERS OF THE LAYOUT COMPUTATION ====");
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println!("Zone redundancy: {}", layout.parameters.get().zone_redundancy);
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println!("Zone redundancy: {}", layout.staged_parameters.get().zone_redundancy);
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println!();
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println!();
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// this will print the stats of what partitions
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// this will print the stats of what partitions
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@ -270,7 +270,7 @@ pub async fn cmd_config_layout(
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println!("The zone redundancy must be at least 1.");
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println!("The zone redundancy must be at least 1.");
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}
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}
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else {
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else {
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layout.parameters.update(LayoutParameters{ zone_redundancy: r });
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layout.staged_parameters.update(LayoutParameters{ zone_redundancy: r });
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println!("The new zone redundancy has been saved ({}).", r);
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println!("The new zone redundancy has been saved ({}).", r);
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}
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}
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}
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}
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@ -419,17 +419,3 @@ fn cycles_of_1_forest(forest: &[Option<usize>]) -> Vec<Vec<usize>> {
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}
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}
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//====================================================================================
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//====================================================================================
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//====================================================================================
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//====================================================================================
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//====================================================================================
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//====================================================================================
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#[cfg(test)]
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mod tests {
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use super::*;
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}
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@ -30,8 +30,8 @@ pub struct ClusterLayout {
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//This attribute is only used to retain the previously computed partition size,
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//This attribute is only used to retain the previously computed partition size,
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//to know to what extent does it change with the layout update.
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//to know to what extent does it change with the layout update.
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#[serde(default="default_partition_size")]
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pub partition_size: u32,
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pub partition_size: u32,
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pub parameters: LayoutParameters,
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pub roles: LwwMap<Uuid, NodeRoleV>,
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pub roles: LwwMap<Uuid, NodeRoleV>,
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@ -49,20 +49,11 @@ pub struct ClusterLayout {
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pub ring_assignation_data: Vec<CompactNodeType>,
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pub ring_assignation_data: Vec<CompactNodeType>,
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/// Role changes which are staged for the next version of the layout
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/// Role changes which are staged for the next version of the layout
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#[serde(default="default_layout_parameters")]
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pub staged_parameters: Lww<LayoutParameters>,
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pub parameters: Lww<LayoutParameters>,
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pub staging: LwwMap<Uuid, NodeRoleV>,
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pub staging: LwwMap<Uuid, NodeRoleV>,
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pub staging_hash: Hash,
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pub staging_hash: Hash,
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}
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}
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fn default_partition_size() -> u32{
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0
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}
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fn default_layout_parameters() -> Lww<LayoutParameters>{
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Lww::<LayoutParameters>::new(LayoutParameters{ zone_redundancy: 1})
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}
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///This struct is used to set the parameters to be used in the assignation computation
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///This struct is used to set the parameters to be used in the assignation computation
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///algorithm. It is stored as a Crdt.
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///algorithm. It is stored as a Crdt.
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#[derive(PartialEq, Eq, PartialOrd, Ord, Clone, Debug, Serialize, Deserialize)]
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#[derive(PartialEq, Eq, PartialOrd, Ord, Clone, Debug, Serialize, Deserialize)]
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@ -124,8 +115,8 @@ impl ClusterLayout {
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//We set the default zone redundancy to be equal to the replication factor,
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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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//i.e. as strict as possible.
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let default_parameters = Lww::<LayoutParameters>::new(
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let parameters = LayoutParameters{ zone_redundancy: replication_factor};
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LayoutParameters{ zone_redundancy: replication_factor});
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let staged_parameters = Lww::<LayoutParameters>::new(parameters.clone());
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let empty_lwwmap = LwwMap::new();
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let empty_lwwmap = LwwMap::new();
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let empty_lwwmap_hash = blake2sum(&rmp_to_vec_all_named(&empty_lwwmap).unwrap()[..]);
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let empty_lwwmap_hash = blake2sum(&rmp_to_vec_all_named(&empty_lwwmap).unwrap()[..]);
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@ -137,7 +128,8 @@ impl ClusterLayout {
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roles: LwwMap::new(),
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roles: LwwMap::new(),
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node_id_vec: Vec::new(),
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node_id_vec: Vec::new(),
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ring_assignation_data: Vec::new(),
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ring_assignation_data: Vec::new(),
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parameters: default_parameters,
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parameters,
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staged_parameters,
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staging: empty_lwwmap,
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staging: empty_lwwmap,
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staging_hash: empty_lwwmap_hash,
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staging_hash: empty_lwwmap_hash,
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}
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}
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@ -150,8 +142,8 @@ impl ClusterLayout {
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true
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true
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}
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}
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Ordering::Equal => {
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Ordering::Equal => {
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let param_changed = self.parameters.get() != other.parameters.get();
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let param_changed = self.staged_parameters.get() != other.staged_parameters.get();
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self.parameters.merge(&other.parameters);
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self.staged_parameters.merge(&other.staged_parameters);
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self.staging.merge(&other.staging);
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self.staging.merge(&other.staging);
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@ -330,7 +322,7 @@ To know the correct value of the new layout version, invoke `garage layout show`
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let zones_of_p = nodes_of_p.iter()
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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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.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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.expect("Zone not found."));
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let redundancy = self.parameters.get().zone_redundancy;
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let redundancy = self.parameters.zone_redundancy;
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if zones_of_p.unique().count() < redundancy {
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if zones_of_p.unique().count() < redundancy {
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return false;
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return false;
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}
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}
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@ -384,7 +376,8 @@ impl ClusterLayout {
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//changes in the layout. We retrieve the old_assignation reframed with the new ids
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//changes in the layout. We retrieve the old_assignation reframed with the new ids
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let old_assignation_opt = self.update_node_id_vec()?;
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let old_assignation_opt = self.update_node_id_vec()?;
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let redundancy = self.parameters.get().zone_redundancy;
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let redundancy = self.staged_parameters.get().zone_redundancy;
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let mut msg = Message::new();
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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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@ -417,13 +410,15 @@ impl ClusterLayout {
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if old_assignation_opt != None {
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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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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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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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be {} (the zone redundancy was {}).", partition_size, self.partition_size,
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self.parameters.zone_redundancy));
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}
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}
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else {
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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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optimal size of a partition is {}.", partition_size));
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}
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}
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self.partition_size = partition_size;
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self.partition_size = partition_size;
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self.parameters = self.staged_parameters.get().clone();
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if partition_size < 100 {
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if partition_size < 100 {
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msg.push("WARNING: The partition size is low (< 100), you might consider to \
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msg.push("WARNING: The partition size is low (< 100), you might consider to \
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//We write the ring
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//We write the ring
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self.ring_assignation_data = Vec::<CompactNodeType>::new();
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self.ring_assignation_data = Vec::<CompactNodeType>::new();
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if !self.check() {
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return Err(Error::Message("Critical error: The computed layout happens to be incorrect".into()));
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}
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Ok(Some(old_assignation))
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Ok(Some(old_assignation))
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}
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}
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@ -585,7 +584,7 @@ impl ClusterLayout {
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self.useful_nodes().len());
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self.useful_nodes().len());
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let mut g= Graph::<FlowEdge>::new(&vertices);
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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 nb_zones = zone_to_id.len();
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let redundancy = self.parameters.get().zone_redundancy;
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let redundancy = self.staged_parameters.get().zone_redundancy;
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for p in 0..NB_PARTITIONS {
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for p in 0..NB_PARTITIONS {
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g.add_edge(Vertex::Source, Vertex::Pup(p), redundancy as u32)?;
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g.add_edge(Vertex::Source, Vertex::Pup(p), redundancy as u32)?;
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g.add_edge(Vertex::Source, Vertex::Pdown(p), (self.replication_factor - redundancy) as u32)?;
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g.add_edge(Vertex::Source, Vertex::Pdown(p), (self.replication_factor - redundancy) as u32)?;
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@ -800,95 +799,79 @@ impl ClusterLayout {
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#[cfg(test)]
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#[cfg(test)]
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mod tests {
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mod tests {
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use super::*;
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use super::{*,Error};
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use std::io::*;
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use std::cmp::min;
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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!(cl.ring_assignation_data.len() == nb_partitions * cl.replication_factor);
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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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assert!(
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rf == cl.ring_assignation_data[rf * i..rf * (i + 1)]
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.iter()
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.map(|nod| node_zone[*nod as usize].clone())
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.unique()
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.count()
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);
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}
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let nb_nodes = cl.node_id_vec.len();
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//This function checks that the partition size S computed is at least better than the
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//Check optimality
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//one given by a very naive algorithm. To do so, we try to run the naive algorithm
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let node_nb_part = (0..nb_nodes)
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//assuming a partion size of S+1. If we succed, it means that the optimal assignation
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.map(|i| {
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//was not optimal. The naive algorithm is the following :
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cl.ring_assignation_data
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//- we compute the max number of partitions associated to every node, capped at the
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.iter()
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//partition number. It gives the number of tokens of every node.
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.filter(|x| **x == i as u8)
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//- every zone has a number of tokens equal to the sum of the tokens of its nodes.
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.count()
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//- we cycle over the partitions and associate zone tokens while respecting the
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})
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//zone redundancy constraint.
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.collect::<Vec<_>>();
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//NOTE: the naive algorithm is not optimal. Counter example:
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//take nb_partition = 3 ; replication_factor = 5; redundancy = 4;
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//number of tokens by zone : (A, 4), (B,1), (C,4), (D, 4), (E, 2)
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//With these parameters, the naive algo fails, whereas there is a solution:
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//(A,A,C,D,E) , (A,B,C,D,D) (A,C,C,D,E)
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fn check_against_naive(cl: &ClusterLayout) -> Result<bool,Error> {
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let over_size = cl.partition_size +1;
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let mut zone_token = HashMap::<String, usize>::new();
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let nb_partitions = 1usize << PARTITION_BITS;
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let zone_vec = node_zone.iter().unique().collect::<Vec<_>>();
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let (zones, zone_to_id) = cl.generate_useful_zone_ids()?;
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let zone_nb_part = zone_vec
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.iter()
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.map(|z| {
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cl.ring_assignation_data
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.iter()
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.filter(|x| node_zone[**x as usize] == **z)
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.count()
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})
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.collect::<Vec<_>>();
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//Check optimality of the zone assignation : would it be better for the
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if zones.is_empty() {
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//node_capacity/node_partitions ratio to change the assignation of a partition
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return Ok(false);
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}
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if let Some(idmin) = (0..nb_nodes).min_by(|i, j| {
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for z in zones.iter() {
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(node_capacity[*i] * node_nb_part[*j] as u32)
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zone_token.insert(z.clone(), 0);
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.cmp(&(node_capacity[*j] * node_nb_part[*i] as u32))
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}
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}) {
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for uuid in cl.useful_nodes().iter() {
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if let Some(idnew) = (0..nb_nodes)
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let z = cl.get_node_zone(uuid)?;
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.filter(|i| {
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let c = cl.get_node_capacity(uuid)?;
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if let Some(p) = zone_vec.iter().position(|z| **z == node_zone[*i]) {
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zone_token.insert(z.clone(), zone_token[&z] + min(nb_partitions , (c/over_size) as usize));
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zone_nb_part[p] < nb_partitions
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}
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} else {
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false
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}
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})
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.max_by(|i, j| {
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(node_capacity[*i] * (node_nb_part[*j] as u32 + 1))
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.cmp(&(node_capacity[*j] * (node_nb_part[*i] as u32 + 1)))
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}) {
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assert!(
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node_capacity[idmin] * (node_nb_part[idnew] as u32 + 1)
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>= node_capacity[idnew] * node_nb_part[idmin] as u32
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);
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}
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}
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//In every zone, check optimality of the nod assignation
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//For every partition, we count the number of zone already associated and
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for z in zone_vec {
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//the name of the last zone associated
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let node_of_z_iter = (0..nb_nodes).filter(|id| node_zone[*id] == *z);
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if let Some(idmin) = node_of_z_iter.clone().min_by(|i, j| {
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let mut id_zone_token = vec![0; zones.len()];
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(node_capacity[*i] * node_nb_part[*j] as u32)
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for (z,t) in zone_token.iter() {
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.cmp(&(node_capacity[*j] * node_nb_part[*i] as u32))
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id_zone_token[zone_to_id[z]] = *t;
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}) {
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}
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if let Some(idnew) = node_of_z_iter.min_by(|i, j| {
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(node_capacity[*i] * (node_nb_part[*j] as u32 + 1))
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let mut nb_token = vec![0; nb_partitions];
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.cmp(&(node_capacity[*j] * (node_nb_part[*i] as u32 + 1)))
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let mut last_zone = vec![zones.len(); nb_partitions];
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}) {
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assert!(
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let mut curr_zone = 0;
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node_capacity[idmin] * (node_nb_part[idnew] as u32 + 1)
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>= node_capacity[idnew] * node_nb_part[idmin] as u32
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let redundancy = cl.parameters.zone_redundancy;
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);
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}
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for replic in 0..cl.replication_factor {
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}
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for p in 0..nb_partitions {
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}
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while id_zone_token[curr_zone] == 0 ||
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}
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(last_zone[p] == curr_zone
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*/
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&& redundancy - nb_token[p] <= cl.replication_factor - replic) {
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curr_zone += 1;
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if curr_zone >= zones.len() {
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return Ok(true);
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}
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}
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id_zone_token[curr_zone] -= 1;
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if last_zone[p] != curr_zone {
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nb_token[p] += 1;
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last_zone[p] = curr_zone;
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}
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}
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}
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return Ok(false);
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}
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fn show_msg(msg : &Message) {
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fn show_msg(msg : &Message) {
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for s in msg.iter(){
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for s in msg.iter(){
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@ -901,6 +884,7 @@ mod tests {
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node_id_vec: &Vec<u8>,
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node_id_vec: &Vec<u8>,
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node_capacity_vec: &Vec<u32>,
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node_capacity_vec: &Vec<u32>,
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node_zone_vec: &Vec<String>,
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node_zone_vec: &Vec<String>,
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zone_redundancy: usize
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) {
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) {
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for i in 0..node_id_vec.len() {
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for i in 0..node_id_vec.len() {
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if let Some(x) = FixedBytes32::try_from(&[i as u8; 32]) {
|
if let Some(x) = FixedBytes32::try_from(&[i as u8; 32]) {
|
||||||
|
@ -917,11 +901,11 @@ mod tests {
|
||||||
);
|
);
|
||||||
cl.roles.merge(&update);
|
cl.roles.merge(&update);
|
||||||
}
|
}
|
||||||
|
cl.staged_parameters = Lww::<LayoutParameters>::new(LayoutParameters{zone_redundancy});
|
||||||
}
|
}
|
||||||
|
|
||||||
#[test]
|
#[test]
|
||||||
fn test_assignation() {
|
fn test_assignation() {
|
||||||
std::io::stdout().flush().ok().expect("Could not flush stdout");
|
|
||||||
let mut node_id_vec = vec![1, 2, 3];
|
let mut node_id_vec = vec![1, 2, 3];
|
||||||
let mut node_capacity_vec = vec![4000, 1000, 2000];
|
let mut node_capacity_vec = vec![4000, 1000, 2000];
|
||||||
let mut node_zone_vec = vec!["A", "B", "C"]
|
let mut node_zone_vec = vec!["A", "B", "C"]
|
||||||
|
@ -929,22 +913,11 @@ mod tests {
|
||||||
.map(|x| x.to_string())
|
.map(|x| x.to_string())
|
||||||
.collect();
|
.collect();
|
||||||
|
|
||||||
let mut cl = ClusterLayout {
|
let mut cl = ClusterLayout::new(3);
|
||||||
node_id_vec: vec![],
|
update_layout(&mut cl, &node_id_vec, &node_capacity_vec, &node_zone_vec, 3);
|
||||||
|
show_msg(&cl.calculate_partition_assignation().unwrap());
|
||||||
roles: LwwMap::new(),
|
|
||||||
|
|
||||||
replication_factor: 3,
|
|
||||||
zone_redundancy: 1,
|
|
||||||
partition_size: 0,
|
|
||||||
ring_assignation_data: vec![],
|
|
||||||
version: 0,
|
|
||||||
staging: LwwMap::new(),
|
|
||||||
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);
|
|
||||||
show_msg(&cl.calculate_partition_assignation(3,3).unwrap());
|
|
||||||
assert!(cl.check());
|
assert!(cl.check());
|
||||||
|
assert!(matches!(check_against_naive(&cl), Ok(true)));
|
||||||
|
|
||||||
node_id_vec = vec![1, 2, 3, 4, 5, 6, 7, 8, 9];
|
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_capacity_vec = vec![4000, 1000, 1000, 3000, 1000, 1000, 2000, 10000, 2000];
|
||||||
|
@ -952,19 +925,22 @@ mod tests {
|
||||||
.into_iter()
|
.into_iter()
|
||||||
.map(|x| x.to_string())
|
.map(|x| x.to_string())
|
||||||
.collect();
|
.collect();
|
||||||
update_layout(&mut cl, &node_id_vec, &node_capacity_vec, &node_zone_vec);
|
update_layout(&mut cl, &node_id_vec, &node_capacity_vec, &node_zone_vec, 2);
|
||||||
show_msg(&cl.calculate_partition_assignation(3,3).unwrap());
|
show_msg(&cl.calculate_partition_assignation().unwrap());
|
||||||
assert!(cl.check());
|
assert!(cl.check());
|
||||||
|
assert!(matches!(check_against_naive(&cl), Ok(true)));
|
||||||
|
|
||||||
node_capacity_vec = vec![4000, 1000, 2000, 7000, 1000, 1000, 2000, 10000, 2000];
|
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);
|
update_layout(&mut cl, &node_id_vec, &node_capacity_vec, &node_zone_vec, 3);
|
||||||
show_msg(&cl.calculate_partition_assignation(3,3).unwrap());
|
show_msg(&cl.calculate_partition_assignation().unwrap());
|
||||||
assert!(cl.check());
|
assert!(cl.check());
|
||||||
|
assert!(matches!(check_against_naive(&cl), Ok(true)));
|
||||||
|
|
||||||
node_capacity_vec = vec![4000000, 4000000, 2000000, 7000000, 1000000, 9000000, 2000000, 10000, 2000000];
|
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);
|
update_layout(&mut cl, &node_id_vec, &node_capacity_vec, &node_zone_vec, 1);
|
||||||
show_msg(&cl.calculate_partition_assignation(3,1).unwrap());
|
show_msg(&cl.calculate_partition_assignation().unwrap());
|
||||||
assert!(cl.check());
|
assert!(cl.check());
|
||||||
|
assert!(matches!(check_against_naive(&cl), Ok(true)));
|
||||||
|
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
Loading…
Reference in a new issue