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Garage v1.0 #683

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lx merged 119 commits from next-0.10 into main 2024-04-10 15:23:13 +00:00
Conversation 0 Commits 119 Files changed 124 +174 -169
4 changed files with 174 additions and 169 deletions
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9
src/rpc/layout/history.rs
View file

@ -18,7 +18,7 @@ impl LayoutHistory {
};
let mut ret = LayoutHistory {
versions: vec![version].into_boxed_slice().into(),
versions: vec![version],
update_trackers: Default::default(),
trackers_hash: [0u8; 32].into(),
staging: Lww::raw(0, staging),
@ -211,6 +211,11 @@ To know the correct value of the new layout version, invoke `garage layout show`
let msg = new_version.calculate_partition_assignment()?;
self.versions.push(new_version);
if self.current().check().is_ok() {
while self.versions.first().unwrap().check().is_err() {
self.versions.remove(0);
}
}
// Reset the staged layout changes
self.staging.update(LayoutStaging {
@ -245,7 +250,7 @@ To know the correct value of the new layout version, invoke `garage layout show`
version.check()?;
}
// TODO: anythign more ?
// TODO: anything more ?
Ok(())
}
}

3
src/rpc/layout/mod.rs
View file

@ -3,6 +3,9 @@ mod history;
mod schema;
mod version;
#[cfg(test)]
mod test;
pub mod manager;
// ---- re-exports ----

159
src/rpc/layout/test.rs Normal file
View file

@ -0,0 +1,159 @@
use std::cmp::min;
use std::collections::HashMap;
use garage_util::crdt::Crdt;
use garage_util::error::*;
use crate::layout::*;
// 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 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.
// - every zone has a number of tokens equal to the sum of the tokens of its nodes.
// - we cycle over the partitions and associate zone tokens while respecting the
// zone redundancy constraint.
// NOTE: the naive algorithm is not optimal. Counter example:
// take nb_partition = 3 ; replication_factor = 5; redundancy = 4;
// number of tokens by zone : (A, 4), (B,1), (C,4), (D, 4), (E, 2)
// With these parameters, the naive algo fails, whereas there is a solution:
// (A,A,C,D,E) , (A,B,C,D,D) (A,C,C,D,E)
fn check_against_naive(cl: &LayoutVersion) -> Result<bool, Error> {
let over_size = cl.partition_size + 1;
let mut zone_token = HashMap::<String, usize>::new();
let (zones, zone_to_id) = cl.generate_nongateway_zone_ids()?;
if zones.is_empty() {
return Ok(false);
}
for z in zones.iter() {
zone_token.insert(z.clone(), 0);
}
for uuid in cl.nongateway_nodes() {
let z = cl.get_node_zone(&uuid)?;
let c = cl.get_node_capacity(&uuid)?;
zone_token.insert(
z.to_string(),
zone_token[z] + min(NB_PARTITIONS, (c / over_size) as usize),
);
}
// For every partition, we count the number of zone already associated and
// the name of the last zone associated
let mut id_zone_token = vec![0; zones.len()];
for (z, t) in zone_token.iter() {
id_zone_token[zone_to_id[z]] = *t;
}
let mut nb_token = vec![0; NB_PARTITIONS];
let mut last_zone = vec![zones.len(); NB_PARTITIONS];
let mut curr_zone = 0;
let redundancy = cl.effective_zone_redundancy();
for replic in 0..cl.replication_factor {
for p in 0..NB_PARTITIONS {
while id_zone_token[curr_zone] == 0
|| (last_zone[p] == curr_zone
&& redundancy - nb_token[p] <= cl.replication_factor - replic)
{
curr_zone += 1;
if curr_zone >= zones.len() {
return Ok(true);
}
}
id_zone_token[curr_zone] -= 1;
if last_zone[p] != curr_zone {
nb_token[p] += 1;
last_zone[p] = curr_zone;
}
}
}
return Ok(false);
}
fn show_msg(msg: &Message) {
for s in msg.iter() {
println!("{}", s);
}
}
fn update_layout(
cl: &mut LayoutHistory,
node_capacity_vec: &[u64],
node_zone_vec: &[&'static str],
zone_redundancy: usize,
) {
let staging = cl.staging.get_mut();
for (i, (capacity, zone)) in node_capacity_vec
.iter()
.zip(node_zone_vec.iter())
.enumerate()
{
let node_id = [i as u8; 32].into();
let update = staging.roles.update_mutator(
node_id,
NodeRoleV(Some(NodeRole {
zone: zone.to_string(),
capacity: Some(*capacity),
tags: (vec![]),
})),
);
staging.roles.merge(&update);
}
staging.parameters.update(LayoutParameters {
zone_redundancy: ZoneRedundancy::AtLeast(zone_redundancy),
});
cl.update_hashes();
}
#[test]
fn test_assignment() {
let mut node_capacity_vec = vec![4000, 1000, 2000];
let mut node_zone_vec = vec!["A", "B", "C"];
let mut cl = LayoutHistory::new(3);
update_layout(&mut cl, &node_capacity_vec, &node_zone_vec, 3);
let v = cl.current().version;
let (mut cl, msg) = cl.apply_staged_changes(Some(v + 1)).unwrap();
show_msg(&msg);
assert_eq!(cl.check(), Ok(()));
assert!(check_against_naive(cl.current()).unwrap());
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"];
update_layout(&mut cl, &node_capacity_vec, &node_zone_vec, 2);
let v = cl.current().version;
let (mut cl, msg) = cl.apply_staged_changes(Some(v + 1)).unwrap();
show_msg(&msg);
assert_eq!(cl.check(), Ok(()));
assert!(check_against_naive(cl.current()).unwrap());
node_capacity_vec = vec![4000, 1000, 2000, 7000, 1000, 1000, 2000, 10000, 2000];
update_layout(&mut cl, &node_capacity_vec, &node_zone_vec, 3);
let v = cl.current().version;
let (mut cl, msg) = cl.apply_staged_changes(Some(v + 1)).unwrap();
show_msg(&msg);
assert_eq!(cl.check(), Ok(()));
assert!(check_against_naive(cl.current()).unwrap());
node_capacity_vec = vec![
4000000, 4000000, 2000000, 7000000, 1000000, 9000000, 2000000, 10000, 2000000,
];
update_layout(&mut cl, &node_capacity_vec, &node_zone_vec, 1);
let v = cl.current().version;
let (cl, msg) = cl.apply_staged_changes(Some(v + 1)).unwrap();
show_msg(&msg);
assert_eq!(cl.check(), Ok(()));
assert!(check_against_naive(cl.current()).unwrap());
}

172
src/rpc/layout/version.rs
View file

@ -143,7 +143,7 @@ impl LayoutVersion {
}
/// Given a node uuids, this function returns the label of its zone
fn get_node_zone(&self, uuid: &Uuid) -> Result<&str, Error> {
pub(crate) fn get_node_zone(&self, uuid: &Uuid) -> Result<&str, Error> {
match self.node_role(uuid) {
Some(role) => Ok(&role.zone),
_ => Err(Error::Message(
@ -162,7 +162,7 @@ impl LayoutVersion {
}
/// Returns the effective value of the zone_redundancy parameter
fn effective_zone_redundancy(&self) -> usize {
pub(crate) fn effective_zone_redundancy(&self) -> usize {
match self.parameters.zone_redundancy {
ZoneRedundancy::AtLeast(v) => v,
ZoneRedundancy::Maximum => {
@ -472,7 +472,9 @@ impl LayoutVersion {
/// This function generates ids for the zone of the nodes appearing in
/// self.node_id_vec.
fn generate_nongateway_zone_ids(&self) -> Result<(Vec<String>, HashMap<String, usize>), Error> {
pub(crate) fn generate_nongateway_zone_ids(
&self,
) -> Result<(Vec<String>, HashMap<String, usize>), Error> {
let mut id_to_zone = Vec::<String>::new();
let mut zone_to_id = HashMap::<String, usize>::new();
@ -838,167 +840,3 @@ impl LayoutVersion {
Ok(msg)
}
}
// ====================================================================================
#[cfg(test)]
mod tests {
use super::{Error, *};
use std::cmp::min;
// 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 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.
// - every zone has a number of tokens equal to the sum of the tokens of its nodes.
// - we cycle over the partitions and associate zone tokens while respecting the
// zone redundancy constraint.
// NOTE: the naive algorithm is not optimal. Counter example:
// take nb_partition = 3 ; replication_factor = 5; redundancy = 4;
// number of tokens by zone : (A, 4), (B,1), (C,4), (D, 4), (E, 2)
// With these parameters, the naive algo fails, whereas there is a solution:
// (A,A,C,D,E) , (A,B,C,D,D) (A,C,C,D,E)
fn check_against_naive(cl: &LayoutVersion) -> Result<bool, Error> {
let over_size = cl.partition_size + 1;
let mut zone_token = HashMap::<String, usize>::new();
let (zones, zone_to_id) = cl.generate_nongateway_zone_ids()?;
if zones.is_empty() {
return Ok(false);
}
for z in zones.iter() {
zone_token.insert(z.clone(), 0);
}
for uuid in cl.nongateway_nodes() {
let z = cl.get_node_zone(&uuid)?;
let c = cl.get_node_capacity(&uuid)?;
zone_token.insert(
z.clone(),
zone_token[&z] + min(NB_PARTITIONS, (c / over_size) as usize),
);
}
// For every partition, we count the number of zone already associated and
// the name of the last zone associated
let mut id_zone_token = vec![0; zones.len()];
for (z, t) in zone_token.iter() {
id_zone_token[zone_to_id[z]] = *t;
}
let mut nb_token = vec![0; NB_PARTITIONS];
let mut last_zone = vec![zones.len(); NB_PARTITIONS];
let mut curr_zone = 0;
let redundancy = cl.effective_zone_redundancy();
for replic in 0..cl.replication_factor {
for p in 0..NB_PARTITIONS {
while id_zone_token[curr_zone] == 0
|| (last_zone[p] == curr_zone
&& redundancy - nb_token[p] <= cl.replication_factor - replic)
{
curr_zone += 1;
if curr_zone >= zones.len() {
return Ok(true);
}
}
id_zone_token[curr_zone] -= 1;
if last_zone[p] != curr_zone {
nb_token[p] += 1;
last_zone[p] = curr_zone;
}
}
}
return Ok(false);
}
fn show_msg(msg: &Message) {
for s in msg.iter() {
println!("{}", s);
}
}
fn update_layout(
cl: &mut LayoutVersion,
node_id_vec: &Vec<u8>,
node_capacity_vec: &Vec<u64>,
node_zone_vec: &Vec<String>,
zone_redundancy: usize,
) {
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.staging_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.staging_roles.merge(&update);
}
cl.staging_parameters.update(LayoutParameters {
zone_redundancy: ZoneRedundancy::AtLeast(zone_redundancy),
});
cl.staging_hash = cl.calculate_staging_hash();
}
#[test]
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"]
.into_iter()
.map(|x| x.to_string())
.collect();
let mut cl = LayoutVersion::new(3);
update_layout(&mut cl, &node_id_vec, &node_capacity_vec, &node_zone_vec, 3);
let v = cl.version;
let (mut cl, msg) = cl.apply_staged_changes(Some(v + 1)).unwrap();
show_msg(&msg);
assert_eq!(cl.check(), Ok(()));
assert!(matches!(check_against_naive(&cl), Ok(true)));
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, 2);
let v = cl.version;
let (mut cl, msg) = cl.apply_staged_changes(Some(v + 1)).unwrap();
show_msg(&msg);
assert_eq!(cl.check(), Ok(()));
assert!(matches!(check_against_naive(&cl), Ok(true)));
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, 3);
let v = cl.version;
let (mut cl, msg) = cl.apply_staged_changes(Some(v + 1)).unwrap();
show_msg(&msg);
assert_eq!(cl.check(), Ok(()));
assert!(matches!(check_against_naive(&cl), Ok(true)));
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, 1);
let v = cl.version;
let (cl, msg) = cl.apply_staged_changes(Some(v + 1)).unwrap();
show_msg(&msg);
assert_eq!(cl.check(), Ok(()));
assert!(matches!(check_against_naive(&cl), Ok(true)));
}
}