Skip to main content

A procedural sql parser, written in Antlr4

Project description

antlr-plsql

Build Status PyPI version

Development

ANTLR requires Java, so we suggest you use Docker when building grammars. The Makefile contains directives to clean, build, test and deploy the ANTLR grammar. It does not run Docker itself, so run make inside Docker.

Build the grammar

docker build -t antlr_plsql .
docker run -it -v ${PWD}:/usr/src/app antlr_plsql make build

Develop

ANTLR requires Java, so we suggest you use Docker when building grammars. The Makefile contains directives to clean, build, test and deploy the ANTLR grammar. It does not run Docker itself, so run make inside Docker.

# Build the docker container
docker build -t antlr_plsql .

# Run the container to build the python and js grammars
# Write parser files to local file system through volume mounting
docker run -it -v ${PWD}:/usr/src/app antlr_plsql make build

Now that the Python parsing files are available, you can install them with pip:

pip install -r requirements.txt
pip install -e .

And parse SQL code in Python:

from antlr_plsql import ast
ast.parse("SELECT a from b")

If you're actively developing on the ANLTR grammar or the tree shaping, it's a good idea to set up the AST viewer locally so you can immediately see the impact of your changes in a visual way.

  • Clone the ast-viewer repo and build the Docker image according to the instructions.
  • Spin up a docker container that volume mounts the Python package, symlink-installs the package and runs the server on port 3000:
docker run -it \
  -u root \
  -v ~/workspace/antlr-plsql:/app/app/antlr-plsql \
  -p 3000:3000 \
  ast-viewer \
  /bin/bash -c "echo 'Install development requirements in development:' \
    && pip install --no-deps -e app/antlr-plsql \
    && python3 run.py"

When simultaneously developing other packages, volume mount and install those too:

docker run -it \
  -u root \
  -v ~/workspace/antlr-ast:/app/app/antlr-ast \
  -v ~/workspace/antlr-plsql:/app/app/antlr-plsql \
  -v ~/workspace/antlr-tsql:/app/app/antlr-tsql \
  -p 3000:3000 \
  ast-viewer \
  /bin/bash -c "echo 'Install development requirements in development:' \
    && pip install --no-deps -e app/antlr-ast \
    && pip install --no-deps -e app/antlr-plsql \
    && pip install --no-deps -e app/antlr-tsql \
    && python3 run.py"
  • If you update the tree shaping logic in this repo, the app will auto-update.
  • If you change the grammar, you will have to first rebuild the grammar (with the antlr_plsql docker image) and restart the ast-viewer container.

Travis deployment

  • Builds the Docker image
  • Runs the Docker image to build the grammar, run the unit tests
  • Commits the generated grammar files to the builds (for master) and builds-dev (for dev) branches.
  • Builds the grammar and deploys the resulting python and js files to PyPi when a new release is made.

Project details


Download files

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

Source Distribution

antlr-plsql-0.7.0.tar.gz (408.6 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page