GitHub - protegrity/DataBatchProtectionService: Service that implements data protection and encryption of data batches sent from data processing framework like Apache Arrow

API server

Development Dockerfile

Dockerfile is configured for development. Although Docker is mostly used for production deployments, it can also provide a stable environment during development.
Docker images can be created but these are primarily for testing. In these cases, code on the local development environment is copied to the Docker container and built.
For faster development the local directories can be mounted on the docker container to be built.

Building the server docker image

$ docker build -t dbps_server .

or with no cache

$ docker build --no-cache -t dbps_server .

This compiles the dbps_api_server binary and builds the image using the Dockerfile.

Running the server locally from the docker image

$ docker run -it --rm -p 18080:18080 dbps_server

then open a browser to check: http://localhost:18080/statusz

For development

Build the image once:

$ docker build --no-cache -t dbps_server .

Run docker container with source files mounted and open up a shell:

$ docker run -it --rm  -v $(pwd):/app  -p 18080:18080  dbps_server /bin/bash

Make changes to source files as needed.

Then build and run manually from inside the docker container bash

# Build server
$ cmake -B build -S . -G Ninja && cmake --build build --target dbps_api_server

# then run it interactively
$ ./build/dbps_api_server

# .. or in the background with a logfile output
$ ./build/dbps_api_server > dbps_api_server_RUN.log 2>&1 &

Running Unittests

The project includes unit tests. To run the tests:

Build and running the tests

# First, open up a shell within the docker container with source files mounted (instructions above)
# Second, inside the container, build the tests

$ cd /app
$ cmake --build build --target tests

# Third, run the tests (the -j parameter indicates parallelism)
$ ctest --test-dir build -j 8

Running DBPA remote testing app

# First, run docker container with source files mounted (instructions above)
# Then, inside the container...

# Build the application
$ cd /app
$ cmake -B build -S . -G Ninja && cmake --build build --target dbpa_remote_testapp

# Run the application
$ ./build/dbpa_remote_testapp
$ ./build/dbpa_remote_testapp --server_url=http://18.222.202.51:45001
$ ./build/dbpa_remote_testapp --help

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