Skip to main content

doltlite (Python)

A Python loader for doltlite — Dolt's version control through SQLite's drop-in API.

import doltlite          # one-time bootstrap
import sqlite3

conn = sqlite3.connect("repo.db")
conn.execute("CREATE TABLE t(x INT)")
conn.execute("INSERT INTO t VALUES (1)")
conn.execute("SELECT dolt_commit('-A', '-m', 'init')")

import doltlite makes libdoltlite the active SQLite engine for the current interpreter, so anything that uses the standard sqlite3 module — including SQLAlchemy with sqlite:///... URLs — transparently gains dolt_commit, dolt_branch, dolt_merge, dolt_log, dolt_diff_<table>, and the other Dolt SQL functions and virtual tables.

Install

pip install doltlite

Wheels bundle a precompiled libdoltlite for macOS (arm64) and Linux (x86_64, aarch64). No system-level setup required.

Intel Mac wheels aren't shipped in v0.11.x — GitHub's free-tier macos-13 runners queue for hours and block releases. Intel Mac users should build libdoltlite locally and use the DOLTLITE_LIB path below.

For development against a local checkout of doltlite, point DOLTLITE_LIB at your built library instead:

DOLTLITE_LIB=/path/to/libdoltlite.dylib python3 your_script.py

Requirements

The package piggybacks on Python's stdlib sqlite3, which must load SQLite as a shared extension at runtime. The following Pythons work:

  • Distro / system Python (Linux)
  • Homebrew Python (macOS, Linux)
  • pyenv-built Python
  • Conda Python

These do not work because their _sqlite3 is statically linked into the interpreter:

  • python-build-standalone interpreters — the default for uv python install, mise, and Rye

If you use uv, target one of the supported Pythons explicitly:

uv venv --python /opt/homebrew/bin/python3   # or /usr/bin/python3

How the bootstrap works

Doltlite is a SQLite drop-in: it implements the same sqlite3_* C API and adds Dolt-specific functions and virtual tables on top. To use it from Python, libdoltlite has to be loaded ahead of the system libsqlite3 so its symbols win during the dynamic-link symbol-resolution pass that Python's _sqlite3 module triggers when it's first imported.

The mechanics differ by platform:

Linux

ELF flat-namespace symbol resolution: if libdoltlite is loaded into the process with RTLD_GLOBAL before _sqlite3 is loaded, its sqlite3_* symbols enter the global namespace and the later libsqlite3.so lookup finds them first.

import doltlite does ctypes.CDLL(libdoltlite_path, mode=ctypes.RTLD_GLOBAL) in this case — no re-exec required.

If sqlite3 was already imported before doltlite, that boat has sailed: we fall back to re-execing the interpreter with LD_PRELOAD set, so libdoltlite is loaded at process start.

macOS

macOS uses a two-level namespace: _sqlite3.so has an LC_LOAD_DYLIB command bound to a specific libsqlite3.dylib path (e.g. /opt/homebrew/opt/sqlite/lib/libsqlite3.dylib). Plain dlopen / ctypes.CDLL does not redirect that resolution, and DYLD_INSERT_LIBRARIES alone doesn't either — the inserted library has to have an install_name (LC_ID_DYLIB) that matches the path _sqlite3.so was linked against.

import doltlite does:

  1. Detect that path via otool -L $(python3 -c 'import _sqlite3; print(_sqlite3.__file__)').
  2. Copy libdoltlite to $TMPDIR/.../libsqlite3.dylib (cached per (lib, mtime, install_name)).
  3. Rewrite the shim's install_name with install_name_tool -id <path>.
  4. Re-exec the interpreter with DYLD_INSERT_LIBRARIES=<shim>.

The two-level lookup then accepts the shim because the install_name matches.

This requires otool and install_name_tool — install Xcode Command Line Tools (xcode-select --install) if missing.

Re-exec caveats

When a re-exec is required (macOS, or Linux-after-sqlite3-loaded), the bootstrap calls os.execvpe with sys.argv. That means the invocation must name a script file we can replay:

  • python3 my_script.py
  • python3 -m my_package
  • python3 -c "import doltlite; ..." — code string isn't in argv
  • ❌ Interactive REPL / Jupyter — there's no script to re-exec

In the unsupported cases the bootstrap raises DoltliteLoadError with a clear workaround: set DYLD_INSERT_LIBRARIES (macOS) or LD_PRELOAD (Linux) yourself before starting Python.

API

import doltlite

# Side-effect import does the bootstrap automatically. Subsequent
# imports are no-ops thanks to a process-env marker.

# If you want to bootstrap explicitly (e.g. inside a function):
doltlite.bootstrap()

# Find where the loaded libdoltlite came from:
doltlite.libdoltlite_path()  # absolute path

See also

License

Apache License 2.0. See LICENSE.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

doltlite-0.11.16.tar.gz (13.1 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

doltlite-0.11.16-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.5 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ x86-64

doltlite-0.11.16-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.9 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ ARM64

doltlite-0.11.16-py3-none-macosx_11_0_arm64.whl (1.1 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

File details

Details for the file doltlite-0.11.16.tar.gz.

File metadata

  • Download URL: doltlite-0.11.16.tar.gz
  • Upload date:
  • Size: 13.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for doltlite-0.11.16.tar.gz
Algorithm Hash digest
SHA256 5ebe254bd48d41cdca67679f72e561afa0672b2e4943845bc5ec41af0214e897
MD5 27a8fd3cde994fea4de2002d5b08fdeb
BLAKE2b-256 773c27c6e73357a16f518e79ed35c9ab8e804e003bdb33e4271639c6decd44f8

See more details on using hashes here.

Provenance

The following attestation bundles were made for doltlite-0.11.16.tar.gz:

Publisher: wheels.yml on dolthub/doltlite-python

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file doltlite-0.11.16-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for doltlite-0.11.16-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 88f471a68ef230d8974ffd179fbe5888488ada52326792f1488fb451b30cb543
MD5 6b8046496f078a5201289d53bdc18b1e
BLAKE2b-256 becbc5a99957354a0d9219b2521199079f1c1cc39ce0e2e9fb30057ea3984a4a

See more details on using hashes here.

Provenance

The following attestation bundles were made for doltlite-0.11.16-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl:

Publisher: wheels.yml on dolthub/doltlite-python

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file doltlite-0.11.16-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for doltlite-0.11.16-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a239f64f575524d14d0a7cb02314fb0675f3a91a862e5e13e8aeafc458ea6632
MD5 e19da983f65bdd996c1b0a5573335814
BLAKE2b-256 265e3f8dc54df7af67c0ab0b14d9ede5694e96ff4c4dfbc3ac3d69dceee6875a

See more details on using hashes here.

Provenance

The following attestation bundles were made for doltlite-0.11.16-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl:

Publisher: wheels.yml on dolthub/doltlite-python

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file doltlite-0.11.16-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for doltlite-0.11.16-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e7d5dfd2052716dd8b2503b406d7922fb845af3c8db9e51e5caec6d8a0e7158a
MD5 b6947d389ffab64a6481f226f16d8fae
BLAKE2b-256 1c8f22bdc1cf1206d3e1f625595c6ec1aea4970c00913fdf892dab1972878e82

See more details on using hashes here.

Provenance

The following attestation bundles were made for doltlite-0.11.16-py3-none-macosx_11_0_arm64.whl:

Publisher: wheels.yml on dolthub/doltlite-python

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page