This Ruby gem manages an in-memory database of facts. A fact is simply an associative array of properties and their values. The values are either atomic literals or non-empty sets of literals. It is possible to delete a fact, but impossible to delete a property from a fact.

Here is how you use it (it's thread-safe, by the way):

fb = Factbase.new
f = fb.insert
f.kind = 'book'
f.title = 'Object Thinking'
fb.query('(eq kind "book")').each do |f|
  f.seen = true
end
fb.insert
fb.query('(not (exists seen))').each do |f|
  f.title = 'Elegant Objects'
end

You can save the factbase to the disk and then load it back:

file = '/tmp/simple.fb'
f1 = Factbase.new
f = f1.insert
f.foo = 42
File.save(file, f1.export)
f2 = Factbase.new
f2.import(File.read(file))
assert(f2.query('(eq foo 42)').each.to_a.size == 1)

You can check the presence of an attribute by name and then set it, also by name:

n = 'foo'
if f[n].nil?
  f.send("#{n}=", 'Hello, world!')
end

You can make a factbase log all operations:

require 'loog'
require 'factbase/logged'
log = Loog::VERBOSE
fb = Factbase::Logged.new(Factbase.new, log)
f = fb.insert

You can also count the amount of changes made to a factbase:

require 'loog'
require 'factbase/tallied'
log = Loog::VERBOSE
fb = Factbase::Tallied.new(Factbase.new, log)
f = fb.insert
churn = fb.churn
assert churn.inserted == 1

There are some boolean terms available in a query (they return either true or false):

• (always) and (never) are true and false
• (nil v) is true if v is nil
• (not b) is the inverse of b
• (or b1 b2 ...) is true if at least one argument is true
• (and b1 b2 ...) — if all arguments are true
• (when b1 b2) — if b1 is true and b2 is true or b1 is false
• (exists p) — if p property exists
• (absent p) — if p property is absent
• (zero v) — if any v equals to zero
• (eq v1 v2) — if any v1 equals to any v2
• (lt v1 v2) — if any v1 is less than any v2
• (gt v1 v2) — if any v1 is greater than any v2
• (many v) — if v has many values
• (one v) — if v has one value

There are string manipulators:

• (concat v1 v2 v3 ...) — concatenates all v
• (sprintf v v1 v2 ...) — creates a string by v format with params
• (matches v s) — if any v matches the s regular expression

There are a few terms that return non-boolean values:

• (at i v) is the i-th value of v
• (size v) is the cardinality of v (zero if v is nil)
• (type v) is the type of v ("String", "Integer", "Float", "Time", or "Array")
• (either v1 v1) is v2 if v1 is nil

It's possible to modify the facts retrieved, on fly:

• (as p v) adds property p with the value v
• (join s t) adds properties named by the s mask with the values retrieved by the t term, for example, (join "x<=foo,y<=bar" (gt x 5)) will add x and y properties, setting them to values found in the foo and bar properties in the facts that match (gt x 5)

Also, some simple arithmetic:

• (plus v1 v2) is a sum of ∑v1 and ∑v2
• (minus v1 v2) is a deduction of ∑v2 from ∑v1
• (times v1 v2) is a multiplication of ∏v1 and ∏v2
• (div v1 v2) is a division of ∏v1 by ∏v2

It's possible to add and deduct string values to time values, like (plus t '2 days') or (minus t '14 hours').

Types may be converted:

• (to_int v) is an integer of v
• (to_str v) is a string of v
• (to_float v) is a float of v

One term is for meta-programming:

• (defn f "self.to_s") defines a new term using Ruby syntax and returns true
• (undef f) undefines a term (nothing happens if it's not defined yet), returns true

There are terms that are history of search aware:

• (prev p) returns the value of p property in the previously seen fact
• (unique p1 p2 ...) returns true if at least one property value hasn't been seen yet; returns false when all specified properties have duplicate values in this particular combination

The agg term enables sub-queries by evaluating the first argument (term) over all available facts, passing the entire subset to the second argument, and then returning the result as an atomic value:

• (lt age (agg (eq gender 'F') (max age))) selects all facts where the age is smaller than the maximum age of all women
• (eq id (agg (always) (max id))) selects the fact with the largest id
• (eq salary (agg (eq dept $dept) (avg salary))) selects the facts with the salary average in their departments

There are also terms that match the entire factbase and must be used primarily inside the (agg ..) term:

• (nth v p) returns the p property of the v-th fact (must be a positive integer)
• (first p) returns the p property of the first fact
• (count) returns the tally of facts
• (max p) returns the maximum value of the p property in all facts
• (min p) returns the minimum
• (sum p) returns the arithmetic sum of all values of the p property

It's also possible to use a sub-query in a shorter form than with the agg:

• (empty q) is true if the subquery q is empty

It's possible to post-process a list of facts, for agg and join:

• (sorted p expr) sorts them by the value of p property
• (inverted expr) reverses them
• (head n expr) takes only n facts from the head of the list

There are some system-level terms:

• (env v1 v2) returns the value of environment variable v1 or the string v2 if it's not set

Read these guidelines. Make sure your build is green before you contribute your pull request. You will need to have Ruby 3.2+ and Bundler installed. Then:

bundle update
bundle exec rake

If it's clean and you don't see any error messages, submit your pull request.

This is the result of the benchmark:

                                                                   user
insert 20000 facts                                             0.637574
export 20000 facts                                             0.019855
import 410750 bytes (20000 facts)                              0.035065
insert 10 facts                                                0.044615
query 10 times w/txn                                           2.455739
query 10 times w/o txn                                         0.050423
modify 10 attrs w/txn                                          1.894240
delete 10 facts w/txn                                          1.043079
(and (eq what 'issue-was-closed') (exists... -> 200            1.279827
(and (eq what 'issue-was-closed') (exists... -> 200/txn        1.263302
(and (eq what 'issue-was-closed') (exists... -> zero           1.253773
(and (eq what 'issue-was-closed') (exists... -> zero/txn       1.292489
(gt time '2024-03-23T03:21:43Z')                               0.398074
(gt cost 50)                                                   0.254020
(eq title 'Object Thinking 5000')                              0.037238
(and (eq foo 42.998) (or (gt bar 200) (absent z...             0.047599
(and (exists foo) (not (exists blue)))                         1.115156
(eq id (agg (always) (max id)))                                0.711832
(join "c<=cost,b<=bar" (eq id (agg (always) (ma...             1.393622
(and (eq what "foo") (join "w<=what" (and (eq i...             7.428505
delete!                                                        0.272962
Taped.append() x50000                                          0.020619
Taped.each() x125                                              1.721876
Taped.delete_if() x375                                         0.844673

The results were calculated in this GHA job on 2025-10-15 at 14:53, on Linux with 4 CPUs.