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-0.11.25.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-0.11.25-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.6 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ x86-64

doltlite-0.11.25-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (5.0 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ ARM64

doltlite-0.11.25-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-0.11.25.tar.gz.

File metadata

  • Download URL: doltlite-0.11.25.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-0.11.25.tar.gz
Algorithm Hash digest
SHA256 cb22ef20a4d97397dc8542c5a2d4053f50eef98507667d59694e019d25eb5162
MD5 04796ddbfa90ff83fba8eda513ef4f97
BLAKE2b-256 956e62c33da6459aef2fe01040fd2f26df53cd6b13bf7537c5475616250ef488

See more details on using hashes here.

Provenance

The following attestation bundles were made for doltlite-0.11.25.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-0.11.25-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for doltlite-0.11.25-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9845c77225e35be3b28f02e86e18343b50bfea04c2a54647d90e7d6ef6f9bebd
MD5 1eb88f1dd8a7ee392e0103a9740fa484
BLAKE2b-256 144d9f8418a5d281fb58dad2b5e30f6e991de53ee3ec48e8d1ae4f8a094279c1

See more details on using hashes here.

Provenance

The following attestation bundles were made for doltlite-0.11.25-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-0.11.25-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for doltlite-0.11.25-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 48b3dde23f6a5deeabfb4ccb2918ae7a219e69376731ba393101231899c5301c
MD5 faa81c158b119e00c671bb8a336670da
BLAKE2b-256 5da9ba54ae07decedc313902508186cc5d39b6138e7e49eca7e874a52710830f

See more details on using hashes here.

Provenance

The following attestation bundles were made for doltlite-0.11.25-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-0.11.25-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for doltlite-0.11.25-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 8203b6b849935d74f549e819f3fcadb22ef14507decfc88683f23fb01fe6bf88
MD5 6083e8883ff041a02d027bea2652af69
BLAKE2b-256 54952d32d400b59f3f8d3a31a83eafa92648115826e7d67aedfe464a9583ab6e

See more details on using hashes here.

Provenance

The following attestation bundles were made for doltlite-0.11.25-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