Refactor model stuff, including cleaner CRDTs

9 files changed, 475 insertions, 330 deletions

diff --git a/src/table/crdt.rs b/src/table/crdt.rs
deleted file mode 100644
index 4cba10ce..00000000
--- a/src/table/crdt.rs
+++ /dev/null
@@ -1,327 +0,0 @@
-//! This package provides a simple implementation of conflict-free replicated data types (CRDTs)
-//!
-//! CRDTs are a type of data structures that do not require coordination.  In other words, we can
-//! edit them in parallel, we will always find a way to merge it.
-//!
-//! A general example is a counter. Its initial value is 0.  Alice and Bob get a copy of the
-//! counter.  Alice does +1 on her copy, she reads 1.  Bob does +3 on his copy, he reads 3.  Now,
-//! it is easy to merge their counters, order does not count: we always get 4.
-//!
-//! Learn more about CRDT [on Wikipedia](https://en.wikipedia.org/wiki/Conflict-free_replicated_data_type)
-
-use serde::{Deserialize, Serialize};
-
-use garage_util::data::*;
-
-/// Definition of a CRDT - all CRDT Rust types implement this.
-///
-/// A CRDT is defined as a merge operator that respects a certain set of axioms.
-///
-/// In particular, the merge operator must be commutative, associative,
-/// idempotent, and monotonic.
-/// In other words, if `a`, `b` and `c` are CRDTs, and `⊔` denotes the merge operator,
-/// the following axioms must apply:
-///
-/// ```text
-/// a ⊔ b = b ⊔ a                   (commutativity)
-/// (a ⊔ b) ⊔ c = a ⊔ (b ⊔ c)       (associativity)
-/// (a ⊔ b) ⊔ b = a ⊔ b             (idempotence)
-/// ```
-///
-/// Moreover, the relationship `≥` defined by `a ≥ b ⇔ ∃c. a = b ⊔ c` must be a partial order.
-/// This implies a few properties such as: if `a ⊔ b ≠ a`, then there is no `c` such that `(a ⊔ b) ⊔ c = a`,
-/// as this would imply a cycle in the partial order.
-pub trait CRDT {
-	/// Merge the two datastructures according to the CRDT rules.
-	/// `self` is modified to contain the merged CRDT value. `other` is not modified.
-	///
-	/// # Arguments
-	///
-	/// * `other` - the other CRDT we wish to merge with
-	fn merge(&mut self, other: &Self);
-}
-
-/// All types that implement `Ord` (a total order) also implement a trivial CRDT
-/// defined by the merge rule: `a ⊔ b = max(a, b)`.
-impl<T> CRDT for T
-where
-	T: Ord + Clone,
-{
-	fn merge(&mut self, other: &Self) {
-		if other > self {
-			*self = other.clone();
-		}
-	}
-}
-
-// ---- LWW Register ----
-
-/// Last Write Win (LWW)
-///
-/// An LWW CRDT associates a timestamp with a value, in order to implement a
-/// time-based reconciliation rule: the most recent write wins.
-/// For completeness, the LWW reconciliation rule must also be defined for two LWW CRDTs
-/// with the same timestamp but different values.
-///
-/// In our case, we add the constraint that the value that is wrapped inside the LWW CRDT must
-/// itself be a CRDT: in the case when the timestamp does not allow us to decide on which value to
-/// keep, the merge rule of the inner CRDT is applied on the wrapped values.  (Note that all types
-/// that implement the `Ord` trait get a default CRDT implemetnation that keeps the maximum value.
-/// This enables us to use LWW directly with primitive data types such as numbers or strings. It is
-/// generally desirable in this case to never explicitly produce LWW values with the same timestamp
-/// but different inner values, as the rule to keep the maximum value isn't generally the desired
-/// semantics.)
-///
-/// As multiple computers clocks are always desynchronized,
-/// when operations are close enough, it is equivalent to
-/// take one copy and drop the other one.
-///
-/// Given that clocks are not too desynchronized, this assumption
-/// is enough for most cases, as there is few chance that two humans
-/// coordonate themself faster than the time difference between two NTP servers.
-///
-/// As a more concret example, let's suppose you want to upload a file
-/// with the same key (path) in the same bucket at the very same time.
-/// For each request, the file will be timestamped by the receiving server
-/// and may differ from what you observed with your atomic clock!
-///
-/// This scheme is used by AWS S3 or Soundcloud and often without knowing
-/// in entreprise when reconciliating databases with ad-hoc scripts.
-#[derive(Clone, Debug, Serialize, Deserialize, PartialEq)]
-pub struct LWW<T> {
-	ts: u64,
-	v: T,
-}
-
-impl<T> LWW<T>
-where
-	T: CRDT,
-{
-	/// Creates a new CRDT
-	///
-	/// CRDT's internal timestamp is set with current node's clock.
-	pub fn new(value: T) -> Self {
-		Self {
-			ts: now_msec(),
-			v: value,
-		}
-	}
-
-	/// Build a new CRDT from a previous non-compatible one
-	///
-	/// Compared to new, the CRDT's timestamp is not set to now
-	/// but must be set to the previous, non-compatible, CRDT's timestamp.
-	pub fn migrate_from_raw(ts: u64, value: T) -> Self {
-		Self { ts, v: value }
-	}
-
-	/// Update the LWW CRDT while keeping some causal ordering.
-	///
-	/// The timestamp of the LWW CRDT is updated to be the current node's clock
-	/// at time of update, or the previous timestamp + 1 if that's bigger,
-	/// so that the new timestamp is always strictly larger than the previous one.
-	/// This ensures that merging the update with the old value will result in keeping
-	/// the updated value.
-	pub fn update(&mut self, new_value: T) {
-		self.ts = std::cmp::max(self.ts + 1, now_msec());
-		self.v = new_value;
-	}
-
-	/// Get the CRDT value
-	pub fn get(&self) -> &T {
-		&self.v
-	}
-
-	/// Get a mutable reference to the CRDT's value
-	///
-	/// This is usefull to mutate the inside value without changing the LWW timestamp.
-	/// When such mutation is done, the merge between two LWW values is done using the inner
-	/// CRDT's merge operation. This is usefull in the case where the inner CRDT is a large
-	/// data type, such as a map, and we only want to change a single item in the map.
-	/// To do this, we can produce a "CRDT delta", i.e. a LWW that contains only the modification.
-	/// This delta consists in a LWW with the same timestamp, and the map
-	/// inside only contains the updated value.
-	/// The advantage of such a delta is that it is much smaller than the whole map.
-	///
-	/// Avoid using this if the inner data type is a primitive type such as a number or a string,
-	/// as you will then rely on the merge function defined on `Ord` types by keeping the maximum
-	/// of both values.
-	pub fn get_mut(&mut self) -> &mut T {
-		&mut self.v
-	}
-}
-
-impl<T> CRDT for LWW<T>
-where
-	T: Clone + CRDT,
-{
-	fn merge(&mut self, other: &Self) {
-		if other.ts > self.ts {
-			self.ts = other.ts;
-			self.v = other.v.clone();
-		} else if other.ts == self.ts {
-			self.v.merge(&other.v);
-		}
-	}
-}
-
-/// Boolean, where `true` is an absorbing state
-#[derive(Clone, Copy, Debug, Serialize, Deserialize, PartialEq)]
-pub struct Bool(bool);
-
-impl Bool {
-	/// Create a new boolean with the specified value
-	pub fn new(b: bool) -> Self {
-		Self(b)
-	}
-	/// Set the boolean to true
-	pub fn set(&mut self) {
-		self.0 = true;
-	}
-	/// Get the boolean value
-	pub fn get(&self) -> bool {
-		self.0
-	}
-}
-
-impl CRDT for Bool {
-	fn merge(&mut self, other: &Self) {
-		self.0 = self.0 || other.0;
-	}
-}
-
-/// Last Write Win Map
-///
-/// This types defines a CRDT for a map from keys to values.
-/// The values have an associated timestamp, such that the last written value
-/// takes precedence over previous ones. As for the simpler `LWW` type, the value
-/// type `V` is also required to implement the CRDT trait.
-/// We do not encourage mutating the values associated with a given key
-/// without updating the timestamp, in fact at the moment we do not provide a `.get_mut()`
-/// method that would allow that.
-///
-/// Internally, the map is stored as a vector of keys and values, sorted by ascending key order.
-/// This is why the key type `K` must implement `Ord` (and also to ensure a unique serialization,
-/// such that two values can be compared for equality based on their hashes). As a consequence,
-/// insertions take `O(n)` time. This means that LWWMap should be used for reasonably small maps.
-/// However, note that even if we were using a more efficient data structure such as a `BTreeMap`,
-/// the serialization cost `O(n)` would still have to be paid at each modification, so we are
-/// actually not losing anything here.
-#[derive(Clone, Debug, Serialize, Deserialize, PartialEq)]
-pub struct LWWMap<K, V> {
-	vals: Vec<(K, u64, V)>,
-}
-
-impl<K, V> LWWMap<K, V>
-where
-	K: Ord,
-	V: CRDT,
-{
-	/// Create a new empty map CRDT
-	pub fn new() -> Self {
-		Self { vals: vec![] }
-	}
-	/// Used to migrate from a map defined in an incompatible format. This produces
-	/// a map that contains a single item with the specified timestamp (copied from
-	/// the incompatible format). Do this as many times as you have items to migrate,
-	/// and put them all together using the CRDT merge operator.
-	pub fn migrate_from_raw_item(k: K, ts: u64, v: V) -> Self {
-		Self {
-			vals: vec![(k, ts, v)],
-		}
-	}
-	/// Returns a map that contains a single mapping from the specified key to the specified value.
-	/// This map is a mutator, or a delta-CRDT, such that when it is merged with the original map,
-	/// the previous value will be replaced with the one specified here.
-	/// The timestamp in the provided mutator is set to the maximum of the current system's clock
-	/// and 1 + the previous value's timestamp (if there is one), so that the new value will always
-	/// take precedence (LWW rule).
-	///
-	/// Typically, to update the value associated to a key in the map, you would do the following:
-	///
-	/// ```ignore
-	/// let my_update = my_crdt.update_mutator(key_to_modify, new_value);
-	/// my_crdt.merge(&my_update);
-	/// ```
-	///
-	/// However extracting the mutator on its own and only sending that on the network is very
-	/// interesting as it is much smaller than the whole map.
-	pub fn update_mutator(&self, k: K, new_v: V) -> Self {
-		let new_vals = match self.vals.binary_search_by(|(k2, _, _)| k2.cmp(&k)) {
-			Ok(i) => {
-				let (_, old_ts, _) = self.vals[i];
-				let new_ts = std::cmp::max(old_ts + 1, now_msec());
-				vec![(k, new_ts, new_v)]
-			}
-			Err(_) => vec![(k, now_msec(), new_v)],
-		};
-		Self { vals: new_vals }
-	}
-	/// Takes all of the values of the map and returns them. The current map is reset to the
-	/// empty map. This is very usefull to produce in-place a new map that contains only a delta
-	/// that modifies a certain value:
-	///
-	/// ```ignore
-	/// let mut a = get_my_crdt_value();
-	/// let old_a = a.take_and_clear();
-	/// a.merge(&old_a.update_mutator(key_to_modify, new_value));
-	/// put_my_crdt_value(a);
-	/// ```
-	///
-	/// Of course in this simple example we could have written simply
-	/// `pyt_my_crdt_value(a.update_mutator(key_to_modify, new_value))`,
-	/// but in the case where the map is a field in a struct for instance (as is always the case),
-	/// this becomes very handy:
-	///
-	/// ```ignore
-	/// let mut a = get_my_crdt_value();
-	/// let old_a_map = a.map_field.take_and_clear();
-	/// a.map_field.merge(&old_a_map.update_mutator(key_to_modify, new_value));
-	/// put_my_crdt_value(a);
-	/// ```
-	pub fn take_and_clear(&mut self) -> Self {
-		let vals = std::mem::replace(&mut self.vals, vec![]);
-		Self { vals }
-	}
-	/// Removes all values from the map
-	pub fn clear(&mut self) {
-		self.vals.clear();
-	}
-	/// Get a reference to the value assigned to a key
-	pub fn get(&self, k: &K) -> Option<&V> {
-		match self.vals.binary_search_by(|(k2, _, _)| k2.cmp(&k)) {
-			Ok(i) => Some(&self.vals[i].2),
-			Err(_) => None,
-		}
-	}
-	/// Gets a reference to all of the items, as a slice. Usefull to iterate on all map values.
-	/// In most case you will want to ignore the timestamp (second item of the tuple).
-	pub fn items(&self) -> &[(K, u64, V)] {
-		&self.vals[..]
-	}
-}
-
-impl<K, V> CRDT for LWWMap<K, V>
-where
-	K: Clone + Ord,
-	V: Clone + CRDT,
-{
-	fn merge(&mut self, other: &Self) {
-		for (k, ts2, v2) in other.vals.iter() {
-			match self.vals.binary_search_by(|(k2, _, _)| k2.cmp(&k)) {
-				Ok(i) => {
-					let (_, ts1, _v1) = &self.vals[i];
-					if ts2 > ts1 {
-						self.vals[i].1 = *ts2;
-						self.vals[i].2 = v2.clone();
-					} else if ts1 == ts2 {
-						self.vals[i].2.merge(&v2);
-					}
-				}
-				Err(i) => {
-					self.vals.insert(i, (k.clone(), *ts2, v2.clone()));
-				}
-			}
-		}
-	}
-}
diff --git a/src/table/crdt/bool.rs b/src/table/crdt/bool.rs
new file mode 100644
index 00000000..1989c92e
--- /dev/null
+++ b/src/table/crdt/bool.rs
@@ -0,0 +1,34 @@
+use serde::{Deserialize, Serialize};
+
+use crate::crdt::crdt::*;
+
+/// Boolean, where `true` is an absorbing state
+#[derive(Clone, Copy, Debug, Serialize, Deserialize, PartialEq)]
+pub struct Bool(bool);
+
+impl Bool {
+	/// Create a new boolean with the specified value
+	pub fn new(b: bool) -> Self {
+		Self(b)
+	}
+	/// Set the boolean to true
+	pub fn set(&mut self) {
+		self.0 = true;
+	}
+	/// Get the boolean value
+	pub fn get(&self) -> bool {
+		self.0
+	}
+}
+
+impl From<bool> for Bool {
+	fn from(b: bool) -> Bool {
+		Bool::new(b)
+	}
+}
+
+impl CRDT for Bool {
+	fn merge(&mut self, other: &Self) {
+		self.0 = self.0 || other.0;
+	}
+}
diff --git a/src/table/crdt/crdt.rs b/src/table/crdt/crdt.rs
new file mode 100644
index 00000000..636b6df6
--- /dev/null
+++ b/src/table/crdt/crdt.rs
@@ -0,0 +1,73 @@
+use garage_util::data::*;
+
+/// Definition of a CRDT - all CRDT Rust types implement this.
+///
+/// A CRDT is defined as a merge operator that respects a certain set of axioms.
+///
+/// In particular, the merge operator must be commutative, associative,
+/// idempotent, and monotonic.
+/// In other words, if `a`, `b` and `c` are CRDTs, and `⊔` denotes the merge operator,
+/// the following axioms must apply:
+///
+/// ```text
+/// a ⊔ b = b ⊔ a                   (commutativity)
+/// (a ⊔ b) ⊔ c = a ⊔ (b ⊔ c)       (associativity)
+/// (a ⊔ b) ⊔ b = a ⊔ b             (idempotence)
+/// ```
+///
+/// Moreover, the relationship `≥` defined by `a ≥ b ⇔ ∃c. a = b ⊔ c` must be a partial order.
+/// This implies a few properties such as: if `a ⊔ b ≠ a`, then there is no `c` such that `(a ⊔ b) ⊔ c = a`,
+/// as this would imply a cycle in the partial order.
+pub trait CRDT {
+	/// Merge the two datastructures according to the CRDT rules.
+	/// `self` is modified to contain the merged CRDT value. `other` is not modified.
+	///
+	/// # Arguments
+	///
+	/// * `other` - the other CRDT we wish to merge with
+	fn merge(&mut self, other: &Self);
+}
+
+/// All types that implement `Ord` (a total order) can also implement a trivial CRDT
+/// defined by the merge rule: `a ⊔ b = max(a, b)`. Implement this trait for your type
+/// to enable this behavior.
+pub trait AutoCRDT: Ord + Clone + std::fmt::Debug {
+	/// WARN_IF_DIFFERENT: emit a warning when values differ. Set this to true if
+	/// different values in your application should never happen. Set this to false
+	/// if you are actually relying on the semantics of `a ⊔ b = max(a, b)`.
+	const WARN_IF_DIFFERENT: bool;
+}
+
+impl<T> CRDT for T
+where
+	T: AutoCRDT,
+{
+	fn merge(&mut self, other: &Self) {
+		if Self::WARN_IF_DIFFERENT && self != other {
+			warn!(
+				"Different CRDT values should be the same (logic error!): {:?} vs {:?}",
+				self, other
+			);
+			if other > self {
+				*self = other.clone();
+			}
+			warn!("Making an arbitrary choice: {:?}", self);
+		} else {
+			if other > self {
+				*self = other.clone();
+			}
+		}
+	}
+}
+
+impl AutoCRDT for String {
+	const WARN_IF_DIFFERENT: bool = true;
+}
+
+impl AutoCRDT for bool {
+	const WARN_IF_DIFFERENT: bool = true;
+}
+
+impl AutoCRDT for FixedBytes32 {
+	const WARN_IF_DIFFERENT: bool = true;
+}
diff --git a/src/table/crdt/lww.rs b/src/table/crdt/lww.rs
new file mode 100644
index 00000000..9a3ab671
--- /dev/null
+++ b/src/table/crdt/lww.rs
@@ -0,0 +1,114 @@
+use serde::{Deserialize, Serialize};
+
+use garage_util::data::now_msec;
+
+use crate::crdt::crdt::*;
+
+/// Last Write Win (LWW)
+///
+/// An LWW CRDT associates a timestamp with a value, in order to implement a
+/// time-based reconciliation rule: the most recent write wins.
+/// For completeness, the LWW reconciliation rule must also be defined for two LWW CRDTs
+/// with the same timestamp but different values.
+///
+/// In our case, we add the constraint that the value that is wrapped inside the LWW CRDT must
+/// itself be a CRDT: in the case when the timestamp does not allow us to decide on which value to
+/// keep, the merge rule of the inner CRDT is applied on the wrapped values.  (Note that all types
+/// that implement the `Ord` trait get a default CRDT implemetnation that keeps the maximum value.
+/// This enables us to use LWW directly with primitive data types such as numbers or strings. It is
+/// generally desirable in this case to never explicitly produce LWW values with the same timestamp
+/// but different inner values, as the rule to keep the maximum value isn't generally the desired
+/// semantics.)
+///
+/// As multiple computers clocks are always desynchronized,
+/// when operations are close enough, it is equivalent to
+/// take one copy and drop the other one.
+///
+/// Given that clocks are not too desynchronized, this assumption
+/// is enough for most cases, as there is few chance that two humans
+/// coordonate themself faster than the time difference between two NTP servers.
+///
+/// As a more concret example, let's suppose you want to upload a file
+/// with the same key (path) in the same bucket at the very same time.
+/// For each request, the file will be timestamped by the receiving server
+/// and may differ from what you observed with your atomic clock!
+///
+/// This scheme is used by AWS S3 or Soundcloud and often without knowing
+/// in entreprise when reconciliating databases with ad-hoc scripts.
+#[derive(Clone, Debug, Serialize, Deserialize, PartialEq)]
+pub struct LWW<T> {
+	ts: u64,
+	v: T,
+}
+
+impl<T> LWW<T>
+where
+	T: CRDT,
+{
+	/// Creates a new CRDT
+	///
+	/// CRDT's internal timestamp is set with current node's clock.
+	pub fn new(value: T) -> Self {
+		Self {
+			ts: now_msec(),
+			v: value,
+		}
+	}
+
+	/// Build a new CRDT from a previous non-compatible one
+	///
+	/// Compared to new, the CRDT's timestamp is not set to now
+	/// but must be set to the previous, non-compatible, CRDT's timestamp.
+	pub fn migrate_from_raw(ts: u64, value: T) -> Self {
+		Self { ts, v: value }
+	}
+
+	/// Update the LWW CRDT while keeping some causal ordering.
+	///
+	/// The timestamp of the LWW CRDT is updated to be the current node's clock
+	/// at time of update, or the previous timestamp + 1 if that's bigger,
+	/// so that the new timestamp is always strictly larger than the previous one.
+	/// This ensures that merging the update with the old value will result in keeping
+	/// the updated value.
+	pub fn update(&mut self, new_value: T) {
+		self.ts = std::cmp::max(self.ts + 1, now_msec());
+		self.v = new_value;
+	}
+
+	/// Get the CRDT value
+	pub fn get(&self) -> &T {
+		&self.v
+	}
+
+	/// Get a mutable reference to the CRDT's value
+	///
+	/// This is usefull to mutate the inside value without changing the LWW timestamp.
+	/// When such mutation is done, the merge between two LWW values is done using the inner
+	/// CRDT's merge operation. This is usefull in the case where the inner CRDT is a large
+	/// data type, such as a map, and we only want to change a single item in the map.
+	/// To do this, we can produce a "CRDT delta", i.e. a LWW that contains only the modification.
+	/// This delta consists in a LWW with the same timestamp, and the map
+	/// inside only contains the updated value.
+	/// The advantage of such a delta is that it is much smaller than the whole map.
+	///
+	/// Avoid using this if the inner data type is a primitive type such as a number or a string,
+	/// as you will then rely on the merge function defined on `Ord` types by keeping the maximum
+	/// of both values.
+	pub fn get_mut(&mut self) -> &mut T {
+		&mut self.v
+	}
+}
+
+impl<T> CRDT for LWW<T>
+where
+	T: Clone + CRDT,
+{
+	fn merge(&mut self, other: &Self) {
+		if other.ts > self.ts {
+			self.ts = other.ts;
+			self.v = other.v.clone();
+		} else if other.ts == self.ts {
+			self.v.merge(&other.v);
+		}
+	}
+}
diff --git a/src/table/crdt/lww_map.rs b/src/table/crdt/lww_map.rs
new file mode 100644
index 00000000..bd40f368
--- /dev/null
+++ b/src/table/crdt/lww_map.rs
@@ -0,0 +1,145 @@
+use serde::{Deserialize, Serialize};
+
+use garage_util::data::now_msec;
+
+use crate::crdt::crdt::*;
+
+/// Last Write Win Map
+///
+/// This types defines a CRDT for a map from keys to values.
+/// The values have an associated timestamp, such that the last written value
+/// takes precedence over previous ones. As for the simpler `LWW` type, the value
+/// type `V` is also required to implement the CRDT trait.
+/// We do not encourage mutating the values associated with a given key
+/// without updating the timestamp, in fact at the moment we do not provide a `.get_mut()`
+/// method that would allow that.
+///
+/// Internally, the map is stored as a vector of keys and values, sorted by ascending key order.
+/// This is why the key type `K` must implement `Ord` (and also to ensure a unique serialization,
+/// such that two values can be compared for equality based on their hashes). As a consequence,
+/// insertions take `O(n)` time. This means that LWWMap should be used for reasonably small maps.
+/// However, note that even if we were using a more efficient data structure such as a `BTreeMap`,
+/// the serialization cost `O(n)` would still have to be paid at each modification, so we are
+/// actually not losing anything here.
+#[derive(Clone, Debug, Serialize, Deserialize, PartialEq)]
+pub struct LWWMap<K, V> {
+	vals: Vec<(K, u64, V)>,
+}
+
+impl<K, V> LWWMap<K, V>
+where
+	K: Ord,
+	V: CRDT,
+{
+	/// Create a new empty map CRDT
+	pub fn new() -> Self {
+		Self { vals: vec![] }
+	}
+	/// Used to migrate from a map defined in an incompatible format. This produces
+	/// a map that contains a single item with the specified timestamp (copied from
+	/// the incompatible format). Do this as many times as you have items to migrate,
+	/// and put them all together using the CRDT merge operator.
+	pub fn migrate_from_raw_item(k: K, ts: u64, v: V) -> Self {
+		Self {
+			vals: vec![(k, ts, v)],
+		}
+	}
+	/// Returns a map that contains a single mapping from the specified key to the specified value.
+	/// This map is a mutator, or a delta-CRDT, such that when it is merged with the original map,
+	/// the previous value will be replaced with the one specified here.
+	/// The timestamp in the provided mutator is set to the maximum of the current system's clock
+	/// and 1 + the previous value's timestamp (if there is one), so that the new value will always
+	/// take precedence (LWW rule).
+	///
+	/// Typically, to update the value associated to a key in the map, you would do the following:
+	///
+	/// ```ignore
+	/// let my_update = my_crdt.update_mutator(key_to_modify, new_value);
+	/// my_crdt.merge(&my_update);
+	/// ```
+	///
+	/// However extracting the mutator on its own and only sending that on the network is very
+	/// interesting as it is much smaller than the whole map.
+	pub fn update_mutator(&self, k: K, new_v: V) -> Self {
+		let new_vals = match self.vals.binary_search_by(|(k2, _, _)| k2.cmp(&k)) {
+			Ok(i) => {
+				let (_, old_ts, _) = self.vals[i];
+				let new_ts = std::cmp::max(old_ts + 1, now_msec());
+				vec![(k, new_ts, new_v)]
+			}
+			Err(_) => vec![(k, now_msec(), new_v)],
+		};
+		Self { vals: new_vals }
+	}
+	/// Takes all of the values of the map and returns them. The current map is reset to the
+	/// empty map. This is very usefull to produce in-place a new map that contains only a delta
+	/// that modifies a certain value:
+	///
+	/// ```ignore
+	/// let mut a = get_my_crdt_value();
+	/// let old_a = a.take_and_clear();
+	/// a.merge(&old_a.update_mutator(key_to_modify, new_value));
+	/// put_my_crdt_value(a);
+	/// ```
+	///
+	/// Of course in this simple example we could have written simply
+	/// `pyt_my_crdt_value(a.update_mutator(key_to_modify, new_value))`,
+	/// but in the case where the map is a field in a struct for instance (as is always the case),
+	/// this becomes very handy:
+	///
+	/// ```ignore
+	/// let mut a = get_my_crdt_value();
+	/// let old_a_map = a.map_field.take_and_clear();
+	/// a.map_field.merge(&old_a_map.update_mutator(key_to_modify, new_value));
+	/// put_my_crdt_value(a);
+	/// ```
+	pub fn take_and_clear(&mut self) -> Self {
+		let vals = std::mem::replace(&mut self.vals, vec![]);
+		Self { vals }
+	}
+	/// Removes all values from the map
+	pub fn clear(&mut self) {
+		self.vals.clear();
+	}
+	/// Get a reference to the value assigned to a key
+	pub fn get(&self, k: &K) -> Option<&V> {
+		match self.vals.binary_search_by(|(k2, _, _)| k2.cmp(&k)) {
+			Ok(i) => Some(&self.vals[i].2),
+			Err(_) => None,
+		}
+	}
+	/// Gets a reference to all of the items, as a slice. Usefull to iterate on all map values.
+	/// In most case you will want to ignore the timestamp (second item of the tuple).
+	pub fn items(&self) -> &[(K, u64, V)] {
+		&self.vals[..]
+	}
+	/// Returns the number of items in the map
+	pub fn len(&self) -> usize {
+		self.vals.len()
+	}
+}
+
+impl<K, V> CRDT for LWWMap<K, V>
+where
+	K: Clone + Ord,
+	V: Clone + CRDT,
+{
+	fn merge(&mut self, other: &Self) {
+		for (k, ts2, v2) in other.vals.iter() {
+			match self.vals.binary_search_by(|(k2, _, _)| k2.cmp(&k)) {
+				Ok(i) => {
+					let (_, ts1, _v1) = &self.vals[i];
+					if ts2 > ts1 {
+						self.vals[i].1 = *ts2;
+						self.vals[i].2 = v2.clone();
+					} else if ts1 == ts2 {
+						self.vals[i].2.merge(&v2);
+					}
+				}
+				Err(i) => {
+					self.vals.insert(i, (k.clone(), *ts2, v2.clone()));
+				}
+			}
+		}
+	}
+}
diff --git a/src/table/crdt/map.rs b/src/table/crdt/map.rs
new file mode 100644
index 00000000..1193e6db
--- /dev/null
+++ b/src/table/crdt/map.rs
@@ -0,0 +1,83 @@
+use serde::{Deserialize, Serialize};
+
+use crate::crdt::crdt::*;
+
+/// Simple CRDT Map
+///
+/// This types defines a CRDT for a map from keys to values. Values are CRDT types which
+/// can have their own updating logic.
+///
+/// Internally, the map is stored as a vector of keys and values, sorted by ascending key order.
+/// This is why the key type `K` must implement `Ord` (and also to ensure a unique serialization,
+/// such that two values can be compared for equality based on their hashes). As a consequence,
+/// insertions take `O(n)` time. This means that Map should be used for reasonably small maps.
+/// However, note that even if we were using a more efficient data structure such as a `BTreeMap`,
+/// the serialization cost `O(n)` would still have to be paid at each modification, so we are
+/// actually not losing anything here.
+#[derive(Clone, Debug, Serialize, Deserialize, PartialEq)]
+pub struct Map<K, V> {
+	vals: Vec<(K, V)>,
+}
+
+impl<K, V> Map<K, V>
+where
+	K: Clone + Ord,
+	V: Clone + CRDT,
+{
+	/// Create a new empty map CRDT
+	pub fn new() -> Self {
+		Self { vals: vec![] }
+	}
+
+	/// Returns a map that contains a single mapping from the specified key to the specified value.
+	/// This can be used to build a delta-mutator:
+	/// when merged with another map, the value will be added or CRDT-merged if a previous
+	/// value already exists.
+	pub fn put_mutator(k: K, v: V) -> Self {
+		Self { vals: vec![(k, v)] }
+	}
+
+	pub fn put(&mut self, k: K, v: V) {
+		self.merge(&Self::put_mutator(k, v));
+	}
+
+	/// Removes all values from the map
+	pub fn clear(&mut self) {
+		self.vals.clear();
+	}
+
+	/// Get a reference to the value assigned to a key
+	pub fn get(&self, k: &K) -> Option<&V> {
+		match self.vals.binary_search_by(|(k2, _)| k2.cmp(&k)) {
+			Ok(i) => Some(&self.vals[i].1),
+			Err(_) => None,
+		}
+	}
+	/// Gets a reference to all of the items, as a slice. Usefull to iterate on all map values.
+	pub fn items(&self) -> &[(K, V)] {
+		&self.vals[..]
+	}
+	/// Returns the number of items in the map
+	pub fn len(&self) -> usize {
+		self.vals.len()
+	}
+}
+
+impl<K, V> CRDT for Map<K, V>
+where
+	K: Clone + Ord,
+	V: Clone + CRDT,
+{
+	fn merge(&mut self, other: &Self) {
+		for (k, v2) in other.vals.iter() {
+			match self.vals.binary_search_by(|(k2, _)| k2.cmp(&k)) {
+				Ok(i) => {
+					self.vals[i].1.merge(&v2);
+				}
+				Err(i) => {
+					self.vals.insert(i, (k.clone(), v2.clone()));
+				}
+			}
+		}
+	}
+}
diff --git a/src/table/crdt/mod.rs b/src/table/crdt/mod.rs
new file mode 100644
index 00000000..eb75d061
--- /dev/null
+++ b/src/table/crdt/mod.rs
@@ -0,0 +1,22 @@
+//! This package provides a simple implementation of conflict-free replicated data types (CRDTs)
+//!
+//! CRDTs are a type of data structures that do not require coordination.  In other words, we can
+//! edit them in parallel, we will always find a way to merge it.
+//!
+//! A general example is a counter. Its initial value is 0.  Alice and Bob get a copy of the
+//! counter.  Alice does +1 on her copy, she reads 1.  Bob does +3 on his copy, he reads 3.  Now,
+//! it is easy to merge their counters, order does not count: we always get 4.
+//!
+//! Learn more about CRDT [on Wikipedia](https://en.wikipedia.org/wiki/Conflict-free_replicated_data_type)
+
+mod bool;
+mod crdt;
+mod lww;
+mod lww_map;
+mod map;
+
+pub use self::bool::*;
+pub use crdt::*;
+pub use lww::*;
+pub use lww_map::*;
+pub use map::*;
diff --git a/src/table/schema.rs b/src/table/schema.rs
index edd04000..5b789a02 100644
--- a/src/table/schema.rs
+++ b/src/table/schema.rs
@@ -2,6 +2,8 @@ use serde::{Deserialize, Serialize};
 
 use garage_util::data::*;
 
+use crate::crdt::CRDT;
+
 pub trait PartitionKey {
 	fn hash(&self) -> Hash;
 }
@@ -35,12 +37,10 @@ impl SortKey for Hash {
 }
 
 pub trait Entry<P: PartitionKey, S: SortKey>:
-	PartialEq + Clone + Serialize + for<'de> Deserialize<'de> + Send + Sync
+	CRDT + PartialEq + Clone + Serialize + for<'de> Deserialize<'de> + Send + Sync
 {
 	fn partition_key(&self) -> &P;
 	fn sort_key(&self) -> &S;
-
-	fn merge(&mut self, other: &Self);
 }
 
 pub trait TableSchema: Send + Sync {
diff --git a/src/table/table.rs b/src/table/table.rs
index 1f6b7d25..366ce925 100644
--- a/src/table/table.rs
+++ b/src/table/table.rs
@@ -17,6 +17,7 @@ use garage_rpc::ring::Ring;
 use garage_rpc::rpc_client::*;
 use garage_rpc::rpc_server::*;
 
+use crate::crdt::CRDT;
 use crate::schema::*;
 use crate::table_sync::*;