diff --git a/CHANGELOG.md b/CHANGELOG.md
index ba74a57e7..cb4d83a76 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -3,6 +3,29 @@ All notable changes to this project will be documented in this file.
 
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
 
+## [Unreleased]
+
+## Libraries
+
+- Functional HashSets, aka immutable hashsets (`lib/hashset.dl`).  At the API
+  level functional hashsets behave just like regular hashsets; however their
+  internal implementation supports cloning a in time of O(1), by sharing the 
+  entire internal state between the clone and the original.  Modifying the clone
+  updates only the affected state in a copy-on-write fashion, with the
+  rest of the state still shared with the parent.
+
+  Example use case: computing the set of all unique id's that appear in a
+  stream.  At every iteration, we add all newly observed ids to the set of
+  id's computed so far.  This would normally amount to cloning and modifying a
+  potentially large set in time `O(n)`, where `n` is the size of the set.  With
+  functional sets, the cost if `O(1)`.
+
+  Functional data types are generally a great match for working with immutable
+  collections, e.g., collections stored in DDlog relations.  We therefore plan
+  to introduce more functional data types in the future, possibly even
+  replacing the standard collections (`Set`, `Map`, `Vec`) with functional
+  versions.
+
 ## [0.37.1] - Feb 23, 2021
 
 ### Optimizations
diff --git a/lib/hashset.dl b/lib/hashset.dl
new file mode 100644
index 000000000..5f7bee870
--- /dev/null
+++ b/lib/hashset.dl
@@ -0,0 +1,200 @@
+/* Immutable hash sets.
+ * This module contains bindings for the `HashSet` type
+ * from the `im` crate. */
+
+#[iterate_by_ref=iter:'A]
+extern type HashSet<'A>
+
+extern function hashset_singleton(x: 'X): HashSet<'X>
+extern function hashset_empty(): HashSet<'X>
+
+function size(s: HashSet<'X>): usize {
+    hashset_size(s)
+}
+
+function insert(s: mut HashSet<'X>, v: 'X) {
+    hashset_insert(s, v)
+}
+
+function insert_imm(s: HashSet<'X>, v: 'X): HashSet<'X> {
+    hashset_insert_imm(s, v)
+}
+
+function remove(s: mut HashSet<'X>, v: 'X) {
+    hashset_remove(s, v)
+}
+
+function remove_imm(s: HashSet<'X>, v: 'X): HashSet<'X> {
+    hashset_remove_imm(s, v)
+}
+
+function contains(s: HashSet<'X>, v: 'X): bool {
+    hashset_contains(s, v)
+}
+
+function is_empty(s: HashSet<'X>): bool {
+    hashset_is_empty(s)
+}
+
+function nth(s: HashSet<'X>, n: usize): Option<'X> {
+    hashset_nth(s, n)
+}
+
+function to_vec(s: HashSet<'A>): Vec<'A> {
+    hashset_to_vec(s)
+}
+
+function to_hashset(v: Vec<'A>): HashSet<'A> {
+    var res = hashset_empty();
+    for (x in v) {
+        res.insert(x);
+    };
+    res
+}
+
+function to_hashset(g: Group<'K, 'A>): HashSet<'A> {
+    var res = hashset_empty();
+    for ((x, _) in g) {
+        res.insert(x);
+    };
+    res
+}
+
+function to_hashset(o: Option<'X>): HashSet<'X> {
+    match (o) {
+        Some{x} -> hashset_singleton(x),
+        None -> hashset_empty()
+    }
+}
+
+function union(s1: HashSet<'X>, s2: HashSet<'X>): HashSet<'X> {
+    hashset_union(s1, s2)
+}
+
+function union(sets: Vec<HashSet<'X>>): HashSet<'X> {
+    hashset_unions(sets)
+}
+
+function union(sets: Group<'K, HashSet<'X>>): HashSet<'X> {
+    group_hashset_unions(sets)
+}
+
+function intersection(s1: HashSet<'X>, s2: HashSet<'X>): HashSet<'X> {
+    hashset_intersection(s1, s2)
+}
+
+function difference(s1: HashSet<'X>, s2: HashSet<'X>): HashSet<'X> {
+    hashset_difference(s1, s2)
+}
+
+/* Applies closure `f` to each element of the set. */
+function map(s: HashSet<'A>, f: function('A): 'B): HashSet<'B> {
+    var res = hashset_empty();
+    for (x in s) {
+        res.insert(f(x))
+    };
+    res
+}
+
+/* Returns the element that gives the minimum value from the specified function.
+ * If several elements are equally minimum, the first element is returned.
+ * If the set is empty, `None` is returned. */
+function arg_min(s: HashSet<'A>, f: function('A): 'B): Option<'A> {
+    hashset_arg_min(s, f)
+}
+
+/* Returns the element that gives the maximum value from the specified function.
+ * If several elements are equally maximum, the first element is returned.
+ * If the set is empty, `None` is returned. */
+function arg_max(s: HashSet<'A>, f: function('A): 'B): Option<'A> {
+    hashset_arg_max(s, f)
+}
+
+/* Returns the first element of the set that satisfies predicate `f` or
+ * `None` if none of the elements satisfy the predicate. */
+function find(s: HashSet<'A>, f: function('A): bool): Option<'A> {
+    for (x in s) {
+        if (f(x)) {
+            return Some{x}
+        }
+    };
+    None
+}
+
+/* Returns a vector containing only those elements in `s` that satisfy predicate
+ * `f`. */
+function filter(s: HashSet<'A>, f: function('A): bool): HashSet<'A> {
+    var res = hashset_empty();
+    for (x in s) {
+        if (f(x)) {
+            res.insert(x)
+        }
+    };
+    res
+}
+
+/* Both filters and maps the set.
+ *
+ * Calls the closure on each element of the set.  If the closure returns
+ * `Some{element}`, then that element is returned. */
+function filter_map(s: HashSet<'A>, f: function('A): Option<'B>): HashSet<'B> {
+    var res = hashset_empty();
+    for (x in s) {
+        match (f(x)) {
+            None -> (),
+            Some{y} -> res.insert(y)
+        }
+    };
+    res
+}
+
+/* Returnds `true` iff all elements of the set satisfy predicate `f`. */
+function all(s: HashSet<'A>, f: function('A): bool): bool {
+    for (x in s) {
+        if (not f(x)) {
+            return false
+        }
+    };
+    true
+}
+
+/* Returnds `true` iff at least one element of the set satisfies predicate `f`. */
+function any(s: HashSet<'A>, f: function('A): bool): bool {
+    for (x in s) {
+        if (f(x)) {
+            return true
+        }
+    };
+    false
+}
+
+/* Iterates over the set is ascending order, aggregating its contents using `f`.
+ *
+ * `f` - takes the previous value of the accumulator and the next element in the
+ * set and returns the new value of the accumulator.
+ *
+ * `initializer` - initial value of the accumulator. */
+function fold(s: HashSet<'A>, f: function('B, 'A): 'B, initializer: 'B): 'B {
+    var res = initializer;
+    for (x in s) {
+        res = f(res, x)
+    };
+    res
+}
+
+extern function hashset_arg_min(s: HashSet<'A>, f: function('A): 'B): Option<'A>
+extern function hashset_arg_max(s: HashSet<'A>, f: function('A): 'B): Option<'A>
+extern function hashset_size(s: HashSet<'X>): usize
+extern function hashset_insert(s: mut HashSet<'X>, v: 'X)
+extern function hashset_remove(s: mut HashSet<'X>, v: 'X)
+extern function hashset_insert_imm(s: HashSet<'X>, v: 'X): HashSet<'X>
+extern function hashset_remove_imm(s: HashSet<'X>, v: 'X): HashSet<'X>
+extern function hashset_contains(s: HashSet<'X>, v: 'X): bool
+extern function hashset_is_empty(s: HashSet<'X>): bool
+extern function hashset_nth(s: HashSet<'X>, n: usize): Option<'X>
+extern function hashset_to_vec(s: HashSet<'A>): Vec<'A>
+extern function hashset_union(s1: HashSet<'X>, s2: HashSet<'X>): HashSet<'X>
+extern function hashset_unions(sets: Vec<HashSet<'X>>): HashSet<'X>
+extern function group_hashset_unions(sets: Group<'K, HashSet<'X>>): HashSet<'X>
+extern function hashset_intersection(s1: HashSet<'X>, s2: HashSet<'X>): HashSet<'X>
+extern function hashset_difference(s1: HashSet<'X>, s2: HashSet<'X>): HashSet<'X>
diff --git a/lib/hashset.flatbuf.rs b/lib/hashset.flatbuf.rs
new file mode 100644
index 000000000..dcd7f7d30
--- /dev/null
+++ b/lib/hashset.flatbuf.rs
@@ -0,0 +1,42 @@
+impl<'a, T, F> FromFlatBuffer<fbrt::Vector<'a, F>> for typedefs::hashset::HashSet<T>
+where
+    T: Hash + Eq + Clone + FromFlatBuffer<F::Inner>,
+    F: fbrt::Follow<'a> + 'a,
+{
+    fn from_flatbuf(fb: fbrt::Vector<'a, F>) -> ::std::result::Result<Self, String> {
+        let mut set = typedefs::hashset::HashSet::new();
+        for x in FBIter::from_vector(fb) {
+            set.insert(T::from_flatbuf(x)?);
+        }
+        Ok(set)
+    }
+}
+
+// For scalar types, the FlatBuffers API returns slice instead of 'Vector'.
+impl<'a, T> FromFlatBuffer<&'a [T]> for typedefs::hashset::HashSet<T>
+where
+    T: Hash + Eq + Clone,
+{
+    fn from_flatbuf(fb: &'a [T]) -> ::std::result::Result<Self, String> {
+        let mut set = typedefs::hashset::HashSet::new();
+        for x in fb.iter() {
+            set.insert(x.clone());
+        }
+        Ok(set)
+    }
+}
+
+impl<'b, T> ToFlatBuffer<'b> for typedefs::hashset::HashSet<T>
+where
+    T: Hash + Eq + Clone + Ord + ToFlatBufferVectorElement<'b>,
+{
+    type Target = fbrt::WIPOffset<fbrt::Vector<'b, <T::Target as fbrt::Push>::Output>>;
+
+    fn to_flatbuf(&self, fbb: &mut fbrt::FlatBufferBuilder<'b>) -> Self::Target {
+        let vec: ::std::vec::Vec<T::Target> = self
+            .iter()
+            .map(|x| x.to_flatbuf_vector_element(fbb))
+            .collect();
+        fbb.create_vector(vec.as_slice())
+    }
+}
diff --git a/lib/hashset.rs b/lib/hashset.rs
new file mode 100644
index 000000000..43dfbb940
--- /dev/null
+++ b/lib/hashset.rs
@@ -0,0 +1,387 @@
+use ddlog_rt::Closure;
+use ddlog_std::{option2std, tuple2, Group, Option as DDOption, Vec as DDVec};
+
+use differential_datalog::record::{CollectionKind, Record};
+use im::hashset::{ConsumingIter, HashSet as IMHashSet, OrderedConsumingIter, OrderedIter};
+use serde::{
+    de::Deserializer,
+    ser::{SerializeSeq, Serializer},
+};
+use std::{
+    borrow::Borrow,
+    cmp::Ordering,
+    collections::hash_map::DefaultHasher,
+    fmt::{Debug, Formatter, Result as FmtResult},
+    hash::{BuildHasherDefault, Hash, Hasher},
+    iter::FromIterator,
+    ops::DerefMut,
+    result::Result as StdResult,
+};
+
+#[derive(Clone)]
+pub struct HashSet<T> {
+    // We must use a deterministic hasher here instead of the default `RandomState`
+    // to ensure that hashset iterators yield elements in a consistent order.
+    set: IMHashSet<T, BuildHasherDefault<DefaultHasher>>,
+}
+
+impl<T> Default for HashSet<T> {
+    fn default() -> Self {
+        HashSet {
+            set: IMHashSet::with_hasher(<BuildHasherDefault<DefaultHasher>>::default()),
+        }
+    }
+}
+
+impl<T: Hash + Eq + Ord> Hash for HashSet<T> {
+    fn hash<H: Hasher>(&self, state: &mut H) {
+        // Our modified `im::HashSet` implementation ensures that `hash` is
+        // deterministic, i.e., given the same hasher and two sets with the
+        // same elements it returns the same hash value.  In contrast, the
+        // original `im` crate currently violates this property.
+        self.set.hash(state);
+    }
+}
+
+impl<T: Hash + Eq + Ord> PartialEq for HashSet<T> {
+    fn eq(&self, other: &Self) -> bool {
+        // The `Eq` implementation in `im::HashSet` is unable to rely on the
+        // ordered iterator (which requires the `Ord` trait) and is therefore
+        // inefficient compared to this.
+
+        // Check if `other` is a clone of `self`.
+        if self.set.ptr_eq(&other.set) {
+            return true;
+        }
+        if self.len() != other.len() {
+            return false;
+        }
+        self.iter().eq(other.iter())
+    }
+}
+
+impl<T: Hash + Eq + Ord> Eq for HashSet<T> {}
+
+impl<T: Hash + Eq + Clone + PartialOrd + Ord> PartialOrd for HashSet<T> {
+    fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
+        if self.set.ptr_eq(&other.set) {
+            return Some(Ordering::Equal);
+        }
+        // We don't need to implement lexicographical ordering.  If the two
+        // sets have different sizes, just compare the sizes.
+        match self.len().cmp(&other.len()) {
+            Ordering::Equal => (),
+            ord => return Some(ord),
+        }
+        // Our modified `im::HashSet` implementation ensures that `partial_cmp`
+        // is consistent: given the same hasher and two sets with the
+        // same elements, it returns `Ordering::Equal`.  In contrast, the
+        // original `im` crate currently violates this property.
+        self.set.partial_cmp(&other.set)
+    }
+}
+
+impl<T: Hash + Eq + Clone + Ord> Ord for HashSet<T> {
+    fn cmp(&self, other: &Self) -> Ordering {
+        if self.set.ptr_eq(&other.set) {
+            return Ordering::Equal;
+        }
+        match self.len().cmp(&other.len()) {
+            Ordering::Equal => (),
+            ord => return ord,
+        }
+
+        // Our modified `IMHashSet` implementation ensures that `cmp`
+        // is consistent: given the same hasher and two sets with the
+        // same elements it returns `Ordering::Equal`.  In contrast, the
+        // original `im` crate currently violates this property.
+        self.set.cmp(&other.set)
+    }
+}
+
+impl<T: Serialize + Hash + Eq + Clone + Ord> Serialize for HashSet<T> {
+    fn serialize<S>(&self, serializer: S) -> StdResult<S::Ok, S::Error>
+    where
+        S: Serializer,
+    {
+        // Don't use IMHashSet's implementation of `serialize` to
+        // ensure deterministic order.
+        let mut s = serializer.serialize_seq(Some(self.len()))?;
+        for i in self.iter() {
+            s.serialize_element(i)?;
+        }
+        s.end()
+    }
+}
+
+impl<'de, T: Deserialize<'de> + Hash + Eq + Clone> Deserialize<'de> for HashSet<T> {
+    fn deserialize<D>(deserializer: D) -> StdResult<Self, D::Error>
+    where
+        D: Deserializer<'de>,
+    {
+        IMHashSet::deserialize(deserializer).map(HashSet::from)
+    }
+}
+
+impl<T> HashSet<T> {
+    pub fn len(&self) -> usize {
+        self.set.len()
+    }
+}
+
+impl<'a, T: Hash + Ord> HashSet<T> {
+    // Always use this iterator over `im::HashSet::iter` in scenarios where
+    // order matters (serialization, formatting, etc.).
+    pub fn iter(&'a self) -> OrderedIter<'a, T> {
+        // The default IMHashSet iterator does not guarantee consistent
+        // ordering: two sets with the same elements can iterate over them
+        // in different order even when using the same hasher.  This can
+        // lead to non-deterministic behavior in DDlog code that iterates
+        // over hashsets.  We must therefore use a deterministic iterator.
+        self.set.ordered_iter()
+    }
+}
+
+impl<T: Hash + Eq + Clone + Ord> IntoIterator for HashSet<T> {
+    type Item = T;
+    type IntoIter = OrderedConsumingIter<T>;
+
+    fn into_iter(self) -> Self::IntoIter {
+        // Use ordered iterator that guarantees consistent ordering.
+        self.set.into_ordered_iter()
+    }
+}
+
+impl<T: Hash + Eq + Clone + From<RT>, RT> FromIterator<RT> for HashSet<T> {
+    fn from_iter<I>(iter: I) -> Self
+    where
+        I: IntoIterator<Item = RT>,
+    {
+        HashSet {
+            set: IMHashSet::from_iter(iter),
+        }
+    }
+}
+
+impl<T> HashSet<T> {
+    pub fn new() -> Self {
+        Self::default()
+    }
+    pub fn is_empty(&self) -> bool {
+        self.set.is_empty()
+    }
+}
+
+impl<T> From<IMHashSet<T, BuildHasherDefault<DefaultHasher>>> for HashSet<T> {
+    fn from(set: IMHashSet<T, BuildHasherDefault<DefaultHasher>>) -> Self {
+        HashSet { set }
+    }
+}
+
+impl<T: Hash + Eq> HashSet<T> {
+    pub fn contains<BT: ?Sized>(&self, x: &BT) -> bool
+    where
+        BT: Hash + Eq,
+        T: Borrow<BT>,
+    {
+        self.set.contains(x)
+    }
+}
+
+impl<T: Hash + Eq + Clone> HashSet<T> {
+    pub fn unit(x: T) -> Self {
+        let mut set = IMHashSet::default();
+        set.insert(x);
+        HashSet::from(set)
+    }
+    pub fn insert(&mut self, x: T) -> Option<T> {
+        self.set.insert(x)
+    }
+    pub fn remove<BT: ?Sized>(&mut self, x: &BT) -> Option<T>
+    where
+        BT: Hash + Eq,
+        T: Borrow<BT>,
+    {
+        self.set.remove(x)
+    }
+    pub fn without(&self, x: &T) -> Self {
+        HashSet::from(self.set.without(x))
+    }
+    pub fn update(&self, x: T) -> Self {
+        HashSet::from(self.set.update(x))
+    }
+    pub fn union(self, other: Self) -> Self {
+        // `im::HashSet` implements union by adding elements from `other` to
+        // `self`.  This is inefficient when `other` is much
+        // larger than `self`.  The following optimization will become
+        // unnecessary once this PR or something similar has landed:
+        // https://github.com/bodil/im-rs/pull/163.
+        if self.len() >= other.len() {
+            HashSet::from(self.set.union(other.set))
+        } else {
+            HashSet::from(other.set.union(self.set))
+        }
+    }
+    pub fn unions<I>(i: I) -> Self
+    where
+        I: IntoIterator<Item = Self>,
+    {
+        let mut sets: Vec<_> = i.into_iter().collect();
+
+        // Start with the largest set.
+        if let Some((largest_idx, _)) = sets.iter().enumerate().max_by_key(|(_, s)| s.len()) {
+            let mut largest_set = Self::default();
+            std::mem::swap(&mut largest_set, &mut sets[largest_idx]);
+
+            sets.into_iter().fold(largest_set, Self::union)
+        } else {
+            Self::default()
+        }
+    }
+    pub fn intersection(self, other: Self) -> Self {
+        HashSet::from(self.set.intersection(other.set))
+    }
+    pub fn difference(self, other: Self) -> Self {
+        HashSet::from(self.set.difference(other.set))
+    }
+}
+
+// I don't want to implement `Deref` for `HashSet` to prevent
+// accidentally calling `im::HashSet` methods.  For example,
+// `im::HashSet::iter` returns the non-deterministic iterator (which can
+// mess up DDlog in ways one can easily miss unless they test on big
+// enough sets).
+
+// impl<T> Deref for HashSet<T> {
+//     type Target = IMHashSet<T>;
+//
+//     fn deref(//self) -> //Self::Target {
+//         //self.set
+//     }
+// }
+//
+// impl<T> DerefMut for HashSet<T> {
+//     fn deref_mut(//mut self) -> //mut Self::Target {
+//         //mut self.set
+//     }
+// }
+
+impl<T: FromRecord + Hash + Eq + Clone + Ord> FromRecord for HashSet<T> {
+    fn from_record(val: &Record) -> StdResult<Self, String> {
+        match val {
+            Record::Array(_, args) => StdResult::from_iter(args.iter().map(T::from_record)),
+            v => T::from_record(v).map(Self::unit),
+        }
+    }
+}
+
+impl<T: IntoRecord + Hash + Eq + Clone + Ord> IntoRecord for HashSet<T> {
+    fn into_record(self) -> Record {
+        Record::Array(
+            CollectionKind::Set,
+            self.into_iter().map(|x| x.into_record()).collect(),
+        )
+    }
+}
+
+// Set update semantics: update contains values that are in one of the sets
+// but not the other.
+impl<T: FromRecord + Hash + Eq + Clone + Ord> Mutator<HashSet<T>> for Record {
+    fn mutate(&self, set: &mut HashSet<T>) -> StdResult<(), String> {
+        let upd = <HashSet<T>>::from_record(self)?;
+        for v in upd.into_iter() {
+            if set.remove(&v).is_none() {
+                set.insert(v);
+            }
+        }
+        Ok(())
+    }
+}
+
+impl<T: Hash + Eq + Debug + Ord> Debug for HashSet<T> {
+    fn fmt(&self, f: &mut Formatter) -> FmtResult {
+        f.debug_set().entries(self.iter()).finish()
+    }
+}
+
+pub fn hashset_size<T>(s: &HashSet<T>) -> std_usize {
+    s.len() as std_usize
+}
+
+pub fn hashset_empty<T>() -> HashSet<T> {
+    HashSet::new()
+}
+
+pub fn hashset_singleton<T: Hash + Eq + Clone>(v: &T) -> HashSet<T> {
+    HashSet::unit((*v).clone())
+}
+
+pub fn hashset_insert<T: Hash + Eq + Clone>(s: &mut HashSet<T>, v: &T) {
+    s.insert(v.clone());
+}
+
+pub fn hashset_insert_imm<T: Hash + Eq + Clone>(s: &HashSet<T>, v: &T) -> HashSet<T> {
+    s.update((*v).clone())
+}
+
+pub fn hashset_remove<T: Hash + Eq + Clone>(s: &mut HashSet<T>, v: &T) {
+    s.remove(v);
+}
+
+pub fn hashset_remove_imm<T: Hash + Eq + Clone>(s: &HashSet<T>, v: &T) -> HashSet<T> {
+    s.without(v)
+}
+
+pub fn hashset_contains<T: Hash + Eq>(s: &HashSet<T>, v: &T) -> bool {
+    s.contains(v)
+}
+
+pub fn hashset_is_empty<T>(s: &HashSet<T>) -> bool {
+    s.is_empty()
+}
+
+pub fn hashset_nth<T: Hash + Clone + Ord>(s: &HashSet<T>, n: &std_usize) -> DDOption<T> {
+    option2std(s.iter().nth(*n as usize).cloned())
+}
+
+pub fn hashset_to_vec<T: Hash + Clone + Ord>(s: &HashSet<T>) -> DDVec<T> {
+    DDVec {
+        vec: s.iter().cloned().collect(),
+    }
+}
+
+pub fn hashset_union<T: Hash + Eq + Clone>(s1: &HashSet<T>, s2: &HashSet<T>) -> HashSet<T> {
+    s1.clone().union(s2.clone())
+}
+
+pub fn hashset_unions<T: Hash + Eq + Clone + Ord>(sets: &Vec<HashSet<T>>) -> HashSet<T> {
+    HashSet::unions(sets.iter().cloned())
+}
+
+pub fn group_hashset_unions<K, T: Hash + Eq + Clone + Ord>(
+    sets: &Group<K, HashSet<T>>,
+) -> HashSet<T> {
+    HashSet::unions(sets.iter().map(|tuple2(x, _)| x))
+}
+
+pub fn hashset_intersection<T: Hash + Eq + Clone>(s1: &HashSet<T>, s2: &HashSet<T>) -> HashSet<T> {
+    s1.clone().intersection(s2.clone())
+}
+
+pub fn hashset_difference<T: Hash + Eq + Clone>(s1: &HashSet<T>, s2: &HashSet<T>) -> HashSet<T> {
+    s1.clone().difference(s2.clone())
+}
+
+pub fn hashset_arg_min<T: Hash + Clone + Ord, B: Ord>(
+    s: &HashSet<T>,
+    f: &Box<dyn Closure<*const T, B>>,
+) -> DDOption<T> {
+    DDOption::from(s.iter().min_by_key(|x| f.call(*x)).map(|x| (*x).clone()))
+}
+
+pub fn hashset_arg_max<T: Hash + Clone + Ord, B: Ord>(
+    s: &HashSet<T>,
+    f: &Box<dyn Closure<*const T, B>>,
+) -> DDOption<T> {
+    DDOption::from(s.iter().max_by_key(|x| f.call(*x)).map(|x| (*x).clone()))
+}
diff --git a/lib/hashset.toml b/lib/hashset.toml
new file mode 100644
index 000000000..bf8e5459e
--- /dev/null
+++ b/lib/hashset.toml
@@ -0,0 +1,4 @@
+[dependencies.im]
+git = "https://github.com/ddlog-dev/im-rs"
+branch = "ddlog-1"
+features = ["serde"]
diff --git a/rust/template/differential_datalog/src/program/worker.rs b/rust/template/differential_datalog/src/program/worker.rs
index 0d2e13705..a5cc3948d 100644
--- a/rust/template/differential_datalog/src/program/worker.rs
+++ b/rust/template/differential_datalog/src/program/worker.rs
@@ -648,7 +648,7 @@ impl<'a> DDlogWorker<'a> {
             };
 
             for (id, (relid, v)) in delayed_vars.into_iter() {
-                v.set(collections.get(&relid).ok_or_else(|| format!("delayed variable {} refers to unknown base relation {}", id, relid))?);
+                v.set(&collections.get(&relid).ok_or_else(|| format!("delayed variable {} refers to unknown base relation {}", id, relid))?.consolidate());
             };
 
             for (relid, collection) in collections {
diff --git a/src/Language/DifferentialDatalog/Validate.hs b/src/Language/DifferentialDatalog/Validate.hs
index 1231035ed..eb0b4a1b0 100644
--- a/src/Language/DifferentialDatalog/Validate.hs
+++ b/src/Language/DifferentialDatalog/Validate.hs
@@ -359,7 +359,10 @@ ruleValidateExpressions d rl = do
 
 atomValidate :: (MonadError String me) => DatalogProgram -> ECtx -> Atom -> me ()
 atomValidate d ctx atom = do
-    rel <- checkRelation (pos atom) d $ atomRelation atom
+    -- Disabling the following check, as it prevents meaningful use cases where
+    -- we want to use delayed streams.  See, e.g., the `UniqueUsers` example in
+    -- `streams.dl`.
+
     -- This constraint is meant to reduce the risk of divergent programs.
     -- For example, the following program diverges if 'S1', 'S2' are streams
     -- (specifically, it will continue spitting out the same value of 'Sum' for
@@ -372,8 +375,9 @@ atomValidate d ctx atom = do
     -- TODO: It does not however guarantee convergence, e.g., this will diverge
     -- even with relations: 'R1(x) :- R1-1(x)'.  We may need a stronger check
     -- to prevent such situations.
-    when (atomIsDelayed atom)
-        $ check d (relSemantics rel /= RelStream) (pos $ atomDelay atom) "Cannot apply the delay operator to a stream."
+    --rel <- checkRelation (pos atom) d $ atomRelation atom
+    --when (atomIsDelayed atom)
+    --    $ check d (relSemantics rel /= RelStream) (pos $ atomDelay atom) "Cannot apply the delay operator to a stream."
     -- variable cannot be declared and used in the same atom
     uniqNames (Just d) (\v -> "Variable " ++ show v ++ " is both declared and used inside relational atom " ++ show atom)
         $ exprVarDecls d ctx $ atomVal atom
diff --git a/test/datalog_tests/hashset_test.dat b/test/datalog_tests/hashset_test.dat
new file mode 100644
index 000000000..1f240db2b
--- /dev/null
+++ b/test/datalog_tests/hashset_test.dat
@@ -0,0 +1,2 @@
+dump hashset_test::SetTransforms;
+dump hashset_test::SetFolds;
diff --git a/test/datalog_tests/hashset_test.dl b/test/datalog_tests/hashset_test.dl
new file mode 100644
index 000000000..f73c3f5f8
--- /dev/null
+++ b/test/datalog_tests/hashset_test.dl
@@ -0,0 +1,82 @@
+import hashset
+import vec
+
+typedef TestSet = HashSet<(s64, Vec<s64>)>
+
+function test_set(): TestSet {
+    [ (0, [0,1,2])
+    , (1, [2,3,4])
+    , (2, [4,5,6])
+    , (3, [6,7,8])
+    , (4, [8,9,10])
+    ].to_hashset()
+}
+
+
+output relation SetTransforms(description: string, s: TestSet)
+
+// map.
+SetTransforms(
+    "map(push 100)",
+    test_set().map(|x| { var y = x; y.1.push(100); y } )).
+
+// filter.
+SetTransforms(
+    "filter(contains 2)",
+    test_set().filter(|x| x.1.any(|y| y == 2))).
+
+// filter_map.
+SetTransforms(
+    "filter_map(==1, :=100)",
+    test_set().filter_map(|x| if (x.0 == 1) {
+        Some{ {var y = x; y.0 = 100; y} }
+    } else {
+        None
+    })).
+
+// arg_min.
+SetTransforms(
+    "arg_min(min)",
+    hashset_singleton(test_set().arg_min(|x| x.1.arg_min(|x|x)).unwrap_or_default())).
+
+// arg_max.
+SetTransforms(
+    "arg_max(max)",
+    hashset_singleton(test_set().arg_max(|x| x.1.arg_max(|x|x)).unwrap_or_default())).
+
+// find.
+SetTransforms(
+    "find(contains(3))",
+    test_set().find(|x| x.1.any(|y|y==3)).to_hashset()).
+
+// any.
+SetTransforms(
+    "any(contains(3))",
+    if (test_set().any(|x| x.1.any(|y|y==3))) {
+        test_set()
+    } else {
+        hashset_empty()
+    }).
+
+// all.
+SetTransforms(
+    "all(contains(3))",
+    if (test_set().all(|x| x.1.any(|y|y==3))) {
+        test_set()
+    } else {
+        hashset_empty()
+    }).
+
+// fold
+output relation SetFolds(description: string, a: s64)
+
+SetFolds(
+    "fold(+)",
+    test_set().fold(|a, x| a + x.0, 0)
+).
+
+SetFolds(
+    "fold(fold(+))",
+    test_set().fold(|a, x| a + x.1.fold(|b,y| b + y, 0), 0)
+).
+
diff --git a/test/datalog_tests/hashset_test.dump.expected b/test/datalog_tests/hashset_test.dump.expected
new file mode 100644
index 000000000..7d1f9a333
--- /dev/null
+++ b/test/datalog_tests/hashset_test.dump.expected
@@ -0,0 +1,10 @@
+hashset_test::SetTransforms{.description = "all(contains(3))", .s = []}
+hashset_test::SetTransforms{.description = "any(contains(3))", .s = [(2, [4, 5, 6]), (4, [8, 9, 10]), (3, [6, 7, 8]), (1, [2, 3, 4]), (0, [0, 1, 2])]}
+hashset_test::SetTransforms{.description = "arg_max(max)", .s = [(4, [8, 9, 10])]}
+hashset_test::SetTransforms{.description = "arg_min(min)", .s = [(0, [0, 1, 2])]}
+hashset_test::SetTransforms{.description = "filter(contains 2)", .s = [(1, [2, 3, 4]), (0, [0, 1, 2])]}
+hashset_test::SetTransforms{.description = "filter_map(==1, :=100)", .s = [(100, [2, 3, 4])]}
+hashset_test::SetTransforms{.description = "find(contains(3))", .s = [(1, [2, 3, 4])]}
+hashset_test::SetTransforms{.description = "map(push 100)", .s = [(1, [2, 3, 4, 100]), (3, [6, 7, 8, 100]), (2, [4, 5, 6, 100]), (0, [0, 1, 2, 100]), (4, [8, 9, 10, 100])]}
+hashset_test::SetFolds{.description = "fold(+)", .a = 10}
+hashset_test::SetFolds{.description = "fold(fold(+))", .a = 75}
diff --git a/test/datalog_tests/lib_test.dl b/test/datalog_tests/lib_test.dl
index c4dea9216..0ade4ba85 100644
--- a/test/datalog_tests/lib_test.dl
+++ b/test/datalog_tests/lib_test.dl
@@ -10,5 +10,6 @@ import url_test
 import vec_test
 import map_test
 import set_test
+import hashset_test
 import group_test
-import base64_test
\ No newline at end of file
+import base64_test
diff --git a/test/datalog_tests/streams.dl b/test/datalog_tests/streams.dl
index fd083336a..bb547c358 100644
--- a/test/datalog_tests/streams.dl
+++ b/test/datalog_tests/streams.dl
@@ -1,6 +1,7 @@
 /* Test "stream" relations.  They should take no memory.  */
 
 import json
+import hashset
 
 typedef Object = Object {
     field: u128
@@ -255,3 +256,56 @@ DataUniqueFold(window, unique) :-
 DataUnique(window, unique) :-
     DataUniqueFold(window, unique_vals),
     var unique = unique_vals.group_by(window).group_set_unions().
+
+/* Count the number of unique values in a stream using regular sets
+ * and immutable HashSet. */
+
+typedef user_id = u128
+
+/* This relation controls the computation.  Inserting a record in
+ * `EnableAggregation` triggers the output of unique users count.  If the
+ * record is never deleted, the program will continue producing outputs for
+ * all future timestamps and never terminate.  This is a great way to shoot
+ * oneself in the foot, and we should find a better solution. */
+input relation EnableAggregation()
+
+/* Regular sets */
+
+input stream UserSession1(user: user_id)
+
+stream UniqueUsersFold1(users: Set<user_id>)
+UniqueUsersFold1(set_singleton(user)) :-
+    UserSession1(user).
+
+UniqueUsersFold1(old_users) :-
+    UniqueUsers1-1(old_users).
+
+stream UniqueUsers1(users: Set<user_id>)
+
+UniqueUsers1(all_users) :-
+    EnableAggregation(),
+    UniqueUsersFold1(users),
+    var all_users = users.group_by(()).union().
+
+output stream UniqueUserCount1(num_unique: usize)
+UniqueUserCount1(users.size()) :- UniqueUsers1(users).
+
+/* Implementation using immutable sets. */
+input stream UserSession2(user: user_id)
+
+stream UniqueUsersFold2(users: HashSet<user_id>)
+UniqueUsersFold2(hashset_singleton(user)) :-
+    UserSession2(user).
+
+UniqueUsersFold2(old_users) :-
+    UniqueUsers2-1(old_users).
+
+stream UniqueUsers2(users: HashSet<user_id>)
+
+UniqueUsers2(all_users) :-
+    EnableAggregation(),
+    UniqueUsersFold2(users),
+    var all_users = users.group_by(()).union().
+
+output stream UniqueUserCount2(num_unique: usize)
+UniqueUserCount2(users.size()) :- UniqueUsers2(users).
diff --git a/test/datalog_tests/test-libs.sh b/test/datalog_tests/test-libs.sh
index 9ca9261b9..c8c6729f6 100755
--- a/test/datalog_tests/test-libs.sh
+++ b/test/datalog_tests/test-libs.sh
@@ -25,6 +25,7 @@ test_lib url_test
 test_lib vec_test
 test_lib map_test
 test_lib set_test
+test_lib hashset_test
 test_lib group_test
 test_lib base64_test
 
diff --git a/test/datalog_tests/test-stream.sh b/test/datalog_tests/test-stream.sh
index ae9bbbabc..dbd18c4f9 100755
--- a/test/datalog_tests/test-stream.sh
+++ b/test/datalog_tests/test-stream.sh
@@ -4,6 +4,8 @@ set -e
 
 ./run-test.sh streams release
 
+DIFFERENTIAL_EAGER_MERGE=100
+
 run_test() {
     echo Running mem leak test for $1 iterations.
     ( for (( i=1; i<=$1; i++ ))
@@ -86,6 +88,35 @@ run_rel_query_test() {
 
 }
 
+run_count_unique_test() {
+    echo Running unique user count test $1 for $2 batches of $3 events;
+
+    (
+    echo "start;"
+    echo "insert EnableAggregation(),"
+    echo "commit;"
+    for (( i=1; i<=$2; i++ ))
+    do
+        echo "echo Transaction $i;"
+        echo "start;"
+        for (( j=1; j<=$3; j++ ))
+        do
+            echo "insert UserSession$1($(($i * $2 + $j))),"
+            #echo "insert UserSession$1($j),"
+        done
+        echo "commit dump_changes;"
+    done
+    echo "start;"
+    echo "delete EnableAggregation(),"
+    echo "commit;"
+    ) > unique_bench$1.dat
+    /usr/bin/time ./streams_ddlog/target/release/streams_cli -w 1 --no-store < unique_bench$1.dat > unique_bench$1.dump
+    diff -q unique_bench$1.dump unique_bench$1.dump.expected
+}
+
+run_count_unique_test 1 1000 100
+run_count_unique_test 2 1000 100
+
 run_stream_query_test 1000 1000 1
 run_stream_query_test 1000 1000 2
 run_stream_query_test 1000 1000 4
diff --git a/test/datalog_tests/unique_bench1.dump.expected b/test/datalog_tests/unique_bench1.dump.expected
new file mode 100644
index 000000000..b65f3e28e
--- /dev/null
+++ b/test/datalog_tests/unique_bench1.dump.expected
@@ -0,0 +1,3000 @@
+Transaction 1
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 100}: +1
+Transaction 2
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 200}: +1
+Transaction 3
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 300}: +1
+Transaction 4
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 400}: +1
+Transaction 5
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 500}: +1
+Transaction 6
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 600}: +1
+Transaction 7
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 700}: +1
+Transaction 8
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 800}: +1
+Transaction 9
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 900}: +1
+Transaction 10
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 1000}: +1
+Transaction 11
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 1100}: +1
+Transaction 12
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 1200}: +1
+Transaction 13
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 1300}: +1
+Transaction 14
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 1400}: +1
+Transaction 15
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 1500}: +1
+Transaction 16
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 1600}: +1
+Transaction 17
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 1700}: +1
+Transaction 18
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 1800}: +1
+Transaction 19
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 1900}: +1
+Transaction 20
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 2000}: +1
+Transaction 21
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 2100}: +1
+Transaction 22
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 2200}: +1
+Transaction 23
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 2300}: +1
+Transaction 24
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 2400}: +1
+Transaction 25
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 2500}: +1
+Transaction 26
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 2600}: +1
+Transaction 27
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 2700}: +1
+Transaction 28
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 2800}: +1
+Transaction 29
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 2900}: +1
+Transaction 30
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 3000}: +1
+Transaction 31
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 3100}: +1
+Transaction 32
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 3200}: +1
+Transaction 33
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 3300}: +1
+Transaction 34
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 3400}: +1
+Transaction 35
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 3500}: +1
+Transaction 36
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 3600}: +1
+Transaction 37
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 3700}: +1
+Transaction 38
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 3800}: +1
+Transaction 39
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 3900}: +1
+Transaction 40
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 4000}: +1
+Transaction 41
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 4100}: +1
+Transaction 42
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 4200}: +1
+Transaction 43
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 4300}: +1
+Transaction 44
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 4400}: +1
+Transaction 45
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 4500}: +1
+Transaction 46
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 4600}: +1
+Transaction 47
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 4700}: +1
+Transaction 48
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 4800}: +1
+Transaction 49
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 4900}: +1
+Transaction 50
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 5000}: +1
+Transaction 51
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 5100}: +1
+Transaction 52
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 5200}: +1
+Transaction 53
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 5300}: +1
+Transaction 54
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 5400}: +1
+Transaction 55
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 5500}: +1
+Transaction 56
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 5600}: +1
+Transaction 57
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 5700}: +1
+Transaction 58
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 5800}: +1
+Transaction 59
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 5900}: +1
+Transaction 60
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 6000}: +1
+Transaction 61
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 6100}: +1
+Transaction 62
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 6200}: +1
+Transaction 63
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 6300}: +1
+Transaction 64
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 6400}: +1
+Transaction 65
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 6500}: +1
+Transaction 66
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 6600}: +1
+Transaction 67
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 6700}: +1
+Transaction 68
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 6800}: +1
+Transaction 69
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 6900}: +1
+Transaction 70
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 7000}: +1
+Transaction 71
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 7100}: +1
+Transaction 72
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 7200}: +1
+Transaction 73
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 7300}: +1
+Transaction 74
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 7400}: +1
+Transaction 75
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 7500}: +1
+Transaction 76
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 7600}: +1
+Transaction 77
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 7700}: +1
+Transaction 78
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 7800}: +1
+Transaction 79
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 7900}: +1
+Transaction 80
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 8000}: +1
+Transaction 81
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 8100}: +1
+Transaction 82
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 8200}: +1
+Transaction 83
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 8300}: +1
+Transaction 84
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 8400}: +1
+Transaction 85
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 8500}: +1
+Transaction 86
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 8600}: +1
+Transaction 87
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 8700}: +1
+Transaction 88
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 8800}: +1
+Transaction 89
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 8900}: +1
+Transaction 90
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 9000}: +1
+Transaction 91
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 9100}: +1
+Transaction 92
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 9200}: +1
+Transaction 93
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 9300}: +1
+Transaction 94
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 9400}: +1
+Transaction 95
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 9500}: +1
+Transaction 96
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 9600}: +1
+Transaction 97
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 9700}: +1
+Transaction 98
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 9800}: +1
+Transaction 99
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 9900}: +1
+Transaction 100
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 10000}: +1
+Transaction 101
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 10100}: +1
+Transaction 102
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 10200}: +1
+Transaction 103
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 10300}: +1
+Transaction 104
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 10400}: +1
+Transaction 105
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 10500}: +1
+Transaction 106
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 10600}: +1
+Transaction 107
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 10700}: +1
+Transaction 108
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 10800}: +1
+Transaction 109
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 10900}: +1
+Transaction 110
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 11000}: +1
+Transaction 111
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 11100}: +1
+Transaction 112
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 11200}: +1
+Transaction 113
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 11300}: +1
+Transaction 114
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 11400}: +1
+Transaction 115
+UniqueUserCount1:
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+Transaction 916
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 91600}: +1
+Transaction 917
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 91700}: +1
+Transaction 918
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 91800}: +1
+Transaction 919
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 91900}: +1
+Transaction 920
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 92000}: +1
+Transaction 921
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 92100}: +1
+Transaction 922
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 92200}: +1
+Transaction 923
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 92300}: +1
+Transaction 924
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 92400}: +1
+Transaction 925
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 92500}: +1
+Transaction 926
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 92600}: +1
+Transaction 927
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 92700}: +1
+Transaction 928
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 92800}: +1
+Transaction 929
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 92900}: +1
+Transaction 930
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 93000}: +1
+Transaction 931
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 93100}: +1
+Transaction 932
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 93200}: +1
+Transaction 933
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 93300}: +1
+Transaction 934
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 93400}: +1
+Transaction 935
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 93500}: +1
+Transaction 936
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 93600}: +1
+Transaction 937
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 93700}: +1
+Transaction 938
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 93800}: +1
+Transaction 939
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 93900}: +1
+Transaction 940
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 94000}: +1
+Transaction 941
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 94100}: +1
+Transaction 942
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 94200}: +1
+Transaction 943
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 94300}: +1
+Transaction 944
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 94400}: +1
+Transaction 945
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 94500}: +1
+Transaction 946
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 94600}: +1
+Transaction 947
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 94700}: +1
+Transaction 948
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 94800}: +1
+Transaction 949
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 94900}: +1
+Transaction 950
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 95000}: +1
+Transaction 951
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 95100}: +1
+Transaction 952
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 95200}: +1
+Transaction 953
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 95300}: +1
+Transaction 954
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 95400}: +1
+Transaction 955
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 95500}: +1
+Transaction 956
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 95600}: +1
+Transaction 957
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 95700}: +1
+Transaction 958
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 95800}: +1
+Transaction 959
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 95900}: +1
+Transaction 960
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 96000}: +1
+Transaction 961
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 96100}: +1
+Transaction 962
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 96200}: +1
+Transaction 963
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 96300}: +1
+Transaction 964
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 96400}: +1
+Transaction 965
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 96500}: +1
+Transaction 966
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 96600}: +1
+Transaction 967
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 96700}: +1
+Transaction 968
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 96800}: +1
+Transaction 969
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 96900}: +1
+Transaction 970
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 97000}: +1
+Transaction 971
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 97100}: +1
+Transaction 972
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 97200}: +1
+Transaction 973
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 97300}: +1
+Transaction 974
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 97400}: +1
+Transaction 975
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 97500}: +1
+Transaction 976
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 97600}: +1
+Transaction 977
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 97700}: +1
+Transaction 978
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 97800}: +1
+Transaction 979
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 97900}: +1
+Transaction 980
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 98000}: +1
+Transaction 981
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 98100}: +1
+Transaction 982
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 98200}: +1
+Transaction 983
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 98300}: +1
+Transaction 984
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 98400}: +1
+Transaction 985
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 98500}: +1
+Transaction 986
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 98600}: +1
+Transaction 987
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 98700}: +1
+Transaction 988
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 98800}: +1
+Transaction 989
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 98900}: +1
+Transaction 990
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 99000}: +1
+Transaction 991
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 99100}: +1
+Transaction 992
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 99200}: +1
+Transaction 993
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 99300}: +1
+Transaction 994
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 99400}: +1
+Transaction 995
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 99500}: +1
+Transaction 996
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 99600}: +1
+Transaction 997
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 99700}: +1
+Transaction 998
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 99800}: +1
+Transaction 999
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 99900}: +1
+Transaction 1000
+UniqueUserCount1:
+UniqueUserCount1{.num_unique = 100000}: +1
diff --git a/test/datalog_tests/unique_bench2.dump.expected b/test/datalog_tests/unique_bench2.dump.expected
new file mode 100644
index 000000000..9ae9cc85c
--- /dev/null
+++ b/test/datalog_tests/unique_bench2.dump.expected
@@ -0,0 +1,3000 @@
+Transaction 1
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 100}: +1
+Transaction 2
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 200}: +1
+Transaction 3
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 300}: +1
+Transaction 4
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 400}: +1
+Transaction 5
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 500}: +1
+Transaction 6
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 600}: +1
+Transaction 7
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 700}: +1
+Transaction 8
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 800}: +1
+Transaction 9
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 900}: +1
+Transaction 10
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 1000}: +1
+Transaction 11
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 1100}: +1
+Transaction 12
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 1200}: +1
+Transaction 13
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 1300}: +1
+Transaction 14
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 1400}: +1
+Transaction 15
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 1500}: +1
+Transaction 16
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 1600}: +1
+Transaction 17
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 1700}: +1
+Transaction 18
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 1800}: +1
+Transaction 19
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 1900}: +1
+Transaction 20
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 2000}: +1
+Transaction 21
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 2100}: +1
+Transaction 22
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 2200}: +1
+Transaction 23
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 2300}: +1
+Transaction 24
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 2400}: +1
+Transaction 25
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 2500}: +1
+Transaction 26
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 2600}: +1
+Transaction 27
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 2700}: +1
+Transaction 28
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 2800}: +1
+Transaction 29
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 2900}: +1
+Transaction 30
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 3000}: +1
+Transaction 31
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 3100}: +1
+Transaction 32
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 3200}: +1
+Transaction 33
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 3300}: +1
+Transaction 34
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 3400}: +1
+Transaction 35
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 3500}: +1
+Transaction 36
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 3600}: +1
+Transaction 37
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 3700}: +1
+Transaction 38
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 3800}: +1
+Transaction 39
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 3900}: +1
+Transaction 40
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 4000}: +1
+Transaction 41
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 4100}: +1
+Transaction 42
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 4200}: +1
+Transaction 43
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 4300}: +1
+Transaction 44
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 4400}: +1
+Transaction 45
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 4500}: +1
+Transaction 46
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 4600}: +1
+Transaction 47
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 4700}: +1
+Transaction 48
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 4800}: +1
+Transaction 49
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 4900}: +1
+Transaction 50
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 5000}: +1
+Transaction 51
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 5100}: +1
+Transaction 52
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 5200}: +1
+Transaction 53
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 5300}: +1
+Transaction 54
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 5400}: +1
+Transaction 55
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 5500}: +1
+Transaction 56
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 5600}: +1
+Transaction 57
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 5700}: +1
+Transaction 58
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 5800}: +1
+Transaction 59
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 5900}: +1
+Transaction 60
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 6000}: +1
+Transaction 61
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 6100}: +1
+Transaction 62
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 6200}: +1
+Transaction 63
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 6300}: +1
+Transaction 64
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 6400}: +1
+Transaction 65
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 6500}: +1
+Transaction 66
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 6600}: +1
+Transaction 67
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 6700}: +1
+Transaction 68
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 6800}: +1
+Transaction 69
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 6900}: +1
+Transaction 70
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 7000}: +1
+Transaction 71
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 7100}: +1
+Transaction 72
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 7200}: +1
+Transaction 73
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 7300}: +1
+Transaction 74
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 7400}: +1
+Transaction 75
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 7500}: +1
+Transaction 76
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 7600}: +1
+Transaction 77
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 7700}: +1
+Transaction 78
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 7800}: +1
+Transaction 79
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 7900}: +1
+Transaction 80
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 8000}: +1
+Transaction 81
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 8100}: +1
+Transaction 82
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 8200}: +1
+Transaction 83
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 8300}: +1
+Transaction 84
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 8400}: +1
+Transaction 85
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 8500}: +1
+Transaction 86
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 8600}: +1
+Transaction 87
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 8700}: +1
+Transaction 88
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 8800}: +1
+Transaction 89
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 8900}: +1
+Transaction 90
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 9000}: +1
+Transaction 91
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 9100}: +1
+Transaction 92
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 9200}: +1
+Transaction 93
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 9300}: +1
+Transaction 94
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 9400}: +1
+Transaction 95
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 9500}: +1
+Transaction 96
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 9600}: +1
+Transaction 97
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 9700}: +1
+Transaction 98
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 9800}: +1
+Transaction 99
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 9900}: +1
+Transaction 100
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 10000}: +1
+Transaction 101
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 10100}: +1
+Transaction 102
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 10200}: +1
+Transaction 103
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 10300}: +1
+Transaction 104
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 10400}: +1
+Transaction 105
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 10500}: +1
+Transaction 106
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 10600}: +1
+Transaction 107
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 10700}: +1
+Transaction 108
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 10800}: +1
+Transaction 109
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 10900}: +1
+Transaction 110
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 11000}: +1
+Transaction 111
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 11100}: +1
+Transaction 112
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 11200}: +1
+Transaction 113
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 11300}: +1
+Transaction 114
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 11400}: +1
+Transaction 115
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 11500}: +1
+Transaction 116
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 11600}: +1
+Transaction 117
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 11700}: +1
+Transaction 118
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 11800}: +1
+Transaction 119
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 11900}: +1
+Transaction 120
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 12000}: +1
+Transaction 121
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 12100}: +1
+Transaction 122
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 12200}: +1
+Transaction 123
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 12300}: +1
+Transaction 124
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 12400}: +1
+Transaction 125
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 12500}: +1
+Transaction 126
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 12600}: +1
+Transaction 127
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 12700}: +1
+Transaction 128
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 12800}: +1
+Transaction 129
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 12900}: +1
+Transaction 130
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 13000}: +1
+Transaction 131
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 13100}: +1
+Transaction 132
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 13200}: +1
+Transaction 133
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 13300}: +1
+Transaction 134
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 13400}: +1
+Transaction 135
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 13500}: +1
+Transaction 136
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 13600}: +1
+Transaction 137
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 13700}: +1
+Transaction 138
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 13800}: +1
+Transaction 139
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 13900}: +1
+Transaction 140
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 14000}: +1
+Transaction 141
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 14100}: +1
+Transaction 142
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 14200}: +1
+Transaction 143
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 14300}: +1
+Transaction 144
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 14400}: +1
+Transaction 145
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 14500}: +1
+Transaction 146
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 14600}: +1
+Transaction 147
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 14700}: +1
+Transaction 148
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 14800}: +1
+Transaction 149
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 14900}: +1
+Transaction 150
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 15000}: +1
+Transaction 151
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 15100}: +1
+Transaction 152
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 15200}: +1
+Transaction 153
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 15300}: +1
+Transaction 154
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 15400}: +1
+Transaction 155
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 15500}: +1
+Transaction 156
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 15600}: +1
+Transaction 157
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 15700}: +1
+Transaction 158
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 15800}: +1
+Transaction 159
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 15900}: +1
+Transaction 160
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 16000}: +1
+Transaction 161
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 16100}: +1
+Transaction 162
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 16200}: +1
+Transaction 163
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 16300}: +1
+Transaction 164
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 16400}: +1
+Transaction 165
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 16500}: +1
+Transaction 166
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 16600}: +1
+Transaction 167
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 16700}: +1
+Transaction 168
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 16800}: +1
+Transaction 169
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 16900}: +1
+Transaction 170
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 17000}: +1
+Transaction 171
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 17100}: +1
+Transaction 172
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 17200}: +1
+Transaction 173
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 17300}: +1
+Transaction 174
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 17400}: +1
+Transaction 175
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 17500}: +1
+Transaction 176
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 17600}: +1
+Transaction 177
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 17700}: +1
+Transaction 178
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 17800}: +1
+Transaction 179
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 17900}: +1
+Transaction 180
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 18000}: +1
+Transaction 181
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 18100}: +1
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+Transaction 979
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 97900}: +1
+Transaction 980
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 98000}: +1
+Transaction 981
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 98100}: +1
+Transaction 982
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 98200}: +1
+Transaction 983
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 98300}: +1
+Transaction 984
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 98400}: +1
+Transaction 985
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 98500}: +1
+Transaction 986
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 98600}: +1
+Transaction 987
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 98700}: +1
+Transaction 988
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 98800}: +1
+Transaction 989
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 98900}: +1
+Transaction 990
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 99000}: +1
+Transaction 991
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 99100}: +1
+Transaction 992
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 99200}: +1
+Transaction 993
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 99300}: +1
+Transaction 994
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 99400}: +1
+Transaction 995
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 99500}: +1
+Transaction 996
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 99600}: +1
+Transaction 997
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 99700}: +1
+Transaction 998
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 99800}: +1
+Transaction 999
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 99900}: +1
+Transaction 1000
+UniqueUserCount2:
+UniqueUserCount2{.num_unique = 100000}: +1