A lightweight, embedded, LSM-tree database for Elixir.
- ACID transactions with serial write execution
- Concurrent readers that do not block each other
- Crash recovery via write-ahead logging
- Automatic background compaction
- Bloom filters for fast negative lookups
- Any Elixir term as key or value
Install by adding :goblin as a dependency:
def deps do
[
{:goblin, "~> 0.10.0"}
]
endThen run mix deps.get.
{:ok, db} = Goblin.start_link(
name: MyApp.DB,
data_dir: "/path/to/db"
)Options:
:name- Registered name for the database (optional, defaults toGoblin):data_dir- Directory path for database files (required):mem_limit- Bytes to buffer in memory before flushing to disk (default: 64 MB):bf_fpp- Bloom filter false positive probability (default: 0.01)
Goblin.put(db, :alice, "Alice")
# => :ok
Goblin.get(db, :alice)
# => "Alice"
Goblin.get(db, :nonexistent)
# => nil
Goblin.get(db, :nonexistent, default: :not_found)
# => :not_found
Goblin.remove(db, :alice)
# => :okA key can be any Elixir term, but mixing floats and integers with the same numeric value (e.g. both
1and1.0) is undefined behaviour. Goblin uses ETS:ordered_setinternally, which considers1and1.0as equal (1 == 1.0), while the Bloom filters use exact equality (1 === 1.0isfalse). This mismatch can cause keys to not be found or old versions to not be garbage collected during compaction. To avoid issues, use a consistent numeric type for your keys (e.g. always integers or always floats).
Goblin.put_multi(db, [{:alice, "Alice"}, {:bob, "Bob"}, {:charlie, "Charlie"}])
# => :ok
Goblin.get_multi(db, [:alice, :bob, :charlie])
# => [{:alice, "Alice"}, {:bob, "Bob"}, {:charlie, "Charlie"}]
Goblin.remove_multi(db, [:bob, :charlie])
# => :okGoblin.scan(db) |> Enum.to_list()
# => [{:alice, "Alice"}, {:bob, "Bob"}, {:charlie, "Charlie"}]
Goblin.scan(db, min: :bob) |> Enum.to_list()
# => [{:bob, "Bob"}, {:charlie, "Charlie"}]
Goblin.scan(db, min: :alice, max: :bob) |> Enum.to_list()
# => [{:alice, "Alice"}, {:bob, "Bob"}]There are two types of transactions: write and read.
Write transactions (Goblin.transaction/2) are executed serially.
The function must return {:commit, tx, reply} to commit or {:abort, reply} to abort.
Goblin.transaction(db, fn tx ->
counter = Goblin.Tx.get(tx, :counter, default: 0)
tx
|> Goblin.Tx.put(:counter, counter + 1)
|> Goblin.Tx.commit()
end)
# => :ok
Goblin.transaction(db, fn tx ->
counter = Goblin.Tx.get(tx, :counter, default: 0)
if counter < 100 do
tx
|> Goblin.Tx.put(:counter, counter + 1)
|> Goblin.Tx.commit()
else
Goblin.Tx.abort(tx)
end
end)
# => :ok (if committed) or :error (if aborted)Read transactions (Goblin.read/2) take a snapshot and do not block each other.
Attempting to write within a read transaction raises.
Goblin.read(db, fn tx ->
alice = Goblin.Tx.get(tx, :alice)
bob = Goblin.Tx.get(tx, :bob)
{alice, bob}
end)
# => {"Alice", "Bob"}Keys can be namespaced under a tag. Tagged and untagged data are separate: reading without a tag returns only untagged data, and reading with a tag returns only data under that tag.
Goblin.put(db, :alice, "Alice", tag: :admins)
# => :ok
Goblin.get(db, :alice)
# => nil
Goblin.get(db, :alice, tag: :admins)
# => "Alice"
Goblin.scan(db, tag: :admins) |> Enum.to_list()
# => [{:alice, "Alice"}]
# Removing without a tag does not affect tagged data
Goblin.remove(db, :alice)
Goblin.get(db, :alice, tag: :admins)
# => "Alice"
# Remove with the matching tag
Goblin.remove(db, :alice, tag: :admins)
Goblin.get(db, :alice, tag: :admins)
# => nilA snapshot of the database can be exported as a .tar.gz archive.
The archive can be unpacked and used as the data_dir for a new instance.
Goblin.export(db, "/backups")
# => {:ok, "/backups/goblin_20260220T120000Z.tar.gz"}defmodule MyApp.Application do
use Application
def start(_type, _args) do
children = [
{Goblin, name: MyApp.DB, data_dir: "/var/lib/myapp/db"}
]
Supervisor.start_link(children, strategy: :one_for_one)
end
end
Goblin.put(MyApp.DB, :alice, "Alice")
# => :ok
Goblin.get(MyApp.DB, :alice)
# => "Alice"Goblin uses multi-version concurrency control (MVCC).
A new snapshot of the database is published after every commit, flush, and compaction.
Reads (Goblin.get/3, Goblin.read/2, Goblin.scan/2, and reads within transactions) attach to the latest snapshot when they start and use it for their entire duration.
Readers do not block each other or writers.
Goblin.scan/2 takes its snapshot at enumeration, not at creation.
Write transactions are executed serially. On commit, writes are appended to the write-ahead log and the in-memory table, and a new snapshot is published. Writes are serializable, reads have snapshot isolation.
Files belonging to old snapshots are deleted once no reader uses them. A crashed reader releases its snapshot automatically. A long-running read or scan delays deletion of compacted files, temporarily increasing disk usage.
Goblin does not perform automatic data migration between versions. To upgrade, stream entries from the old database into a new instance running the newer version.
See BENCHMARKS.md for benchmark results comparing Goblin against CubDB.
Goblin is checked for transactional consistency via Elle in GoblinKVStore.
If you see :emfile errors, the file descriptor limit has been reached.
Increase it with ulimit -n <limit>.
- CubDB - Embedded COW B+Tree database
- RocksDB Documentation - Facebook's LSM key-value store