forked from Deuxfleurs/garage
171 lines
5.6 KiB
Rust
171 lines
5.6 KiB
Rust
use std::cmp::Ordering;
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use serde::{Deserialize, Serialize};
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use crate::time::now_msec;
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use crate::crdt::crdt::*;
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/// Last Write Win Map
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///
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/// This types defines a CRDT for a map from keys to values.
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/// The values have an associated timestamp, such that the last written value
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/// takes precedence over previous ones. As for the simpler `LWW` type, the value
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/// type `V` is also required to implement the CRDT trait.
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/// We do not encourage mutating the values associated with a given key
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/// without updating the timestamp, in fact at the moment we do not provide a `.get_mut()`
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/// method that would allow that.
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///
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/// Internally, the map is stored as a vector of keys and values, sorted by ascending key order.
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/// This is why the key type `K` must implement `Ord` (and also to ensure a unique serialization,
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/// such that two values can be compared for equality based on their hashes). As a consequence,
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/// insertions take `O(n)` time. This means that LWWMap should be used for reasonably small maps.
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/// However, note that even if we were using a more efficient data structure such as a `BTreeMap`,
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/// the serialization cost `O(n)` would still have to be paid at each modification, so we are
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/// actually not losing anything here.
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#[derive(Clone, Debug, Serialize, Deserialize, PartialEq)]
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pub struct LwwMap<K, V> {
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vals: Vec<(K, u64, V)>,
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}
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impl<K, V> LwwMap<K, V>
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where
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K: Clone + Ord,
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V: Clone + Crdt,
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{
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/// Create a new empty map CRDT
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pub fn new() -> Self {
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Self { vals: vec![] }
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}
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/// Used to migrate from a map defined in an incompatible format. This produces
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/// a map that contains a single item with the specified timestamp (copied from
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/// the incompatible format). Do this as many times as you have items to migrate,
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/// and put them all together using the CRDT merge operator.
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pub fn migrate_from_raw_item(k: K, ts: u64, v: V) -> Self {
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Self {
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vals: vec![(k, ts, v)],
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}
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}
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/// Returns a map that contains a single mapping from the specified key to the specified value.
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/// This map is a mutator, or a delta-CRDT, such that when it is merged with the original map,
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/// the previous value will be replaced with the one specified here.
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/// The timestamp in the provided mutator is set to the maximum of the current system's clock
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/// and 1 + the previous value's timestamp (if there is one), so that the new value will always
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/// take precedence (LWW rule).
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///
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/// Typically, to update the value associated to a key in the map, you would do the following:
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///
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/// ```ignore
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/// let my_update = my_crdt.update_mutator(key_to_modify, new_value);
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/// my_crdt.merge(&my_update);
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/// ```
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///
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/// However extracting the mutator on its own and only sending that on the network is very
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/// interesting as it is much smaller than the whole map.
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pub fn update_mutator(&self, k: K, new_v: V) -> Self {
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let new_vals = match self.vals.binary_search_by(|(k2, _, _)| k2.cmp(&k)) {
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Ok(i) => {
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let (_, old_ts, _) = self.vals[i];
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let new_ts = std::cmp::max(old_ts + 1, now_msec());
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vec![(k, new_ts, new_v)]
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}
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Err(_) => vec![(k, now_msec(), new_v)],
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};
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Self { vals: new_vals }
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}
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pub fn update_in_place(&mut self, k: K, new_v: V) {
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self.merge(&self.update_mutator(k, new_v));
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}
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/// Takes all of the values of the map and returns them. The current map is reset to the
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/// empty map. This is very usefull to produce in-place a new map that contains only a delta
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/// that modifies a certain value:
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///
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/// ```ignore
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/// let mut a = get_my_crdt_value();
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/// let old_a = a.take_and_clear();
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/// a.merge(&old_a.update_mutator(key_to_modify, new_value));
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/// put_my_crdt_value(a);
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/// ```
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///
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/// Of course in this simple example we could have written simply
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/// `pyt_my_crdt_value(a.update_mutator(key_to_modify, new_value))`,
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/// but in the case where the map is a field in a struct for instance (as is always the case),
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/// this becomes very handy:
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///
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/// ```ignore
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/// let mut a = get_my_crdt_value();
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/// let old_a_map = a.map_field.take_and_clear();
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/// a.map_field.merge(&old_a_map.update_mutator(key_to_modify, new_value));
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/// put_my_crdt_value(a);
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/// ```
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pub fn take_and_clear(&mut self) -> Self {
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let vals = std::mem::take(&mut self.vals);
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Self { vals }
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}
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/// Removes all values from the map
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pub fn clear(&mut self) {
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self.vals.clear();
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}
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/// Get a reference to the value assigned to a key
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pub fn get(&self, k: &K) -> Option<&V> {
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match self.vals.binary_search_by(|(k2, _, _)| k2.cmp(k)) {
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Ok(i) => Some(&self.vals[i].2),
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Err(_) => None,
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}
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}
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/// Gets a reference to all of the items, as a slice. Usefull to iterate on all map values.
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/// In most case you will want to ignore the timestamp (second item of the tuple).
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pub fn items(&self) -> &[(K, u64, V)] {
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&self.vals[..]
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}
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/// Returns the number of items in the map
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pub fn len(&self) -> usize {
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self.vals.len()
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}
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/// Returns true if the map is empty
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pub fn is_empty(&self) -> bool {
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self.len() == 0
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}
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}
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impl<K, V> Crdt for LwwMap<K, V>
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where
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K: Clone + Ord,
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V: Clone + Crdt,
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{
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fn merge(&mut self, other: &Self) {
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for (k, ts2, v2) in other.vals.iter() {
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match self.vals.binary_search_by(|(k2, _, _)| k2.cmp(k)) {
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Ok(i) => {
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let (_, ts1, _v1) = &self.vals[i];
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match ts2.cmp(ts1) {
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Ordering::Greater => {
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self.vals[i].1 = *ts2;
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self.vals[i].2 = v2.clone();
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}
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Ordering::Equal => {
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self.vals[i].2.merge(v2);
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}
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Ordering::Less => (),
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}
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}
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Err(i) => {
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self.vals.insert(i, (k.clone(), *ts2, v2.clone()));
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}
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}
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}
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}
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}
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impl<K, V> Default for LwwMap<K, V>
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where
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K: Clone + Ord,
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V: Clone + Crdt,
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{
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fn default() -> Self {
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Self::new()
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}
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}
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