Use this template repo as an example to build your own C++ application and run on GraphScope!
Please note that this template is designed for applications with a scalar result for each vertex, e.g. the rank value on each vertex for PageRank algorithm.
pip3 install graphscope Click "Use this template" button up-right.t to create your own repository, clone it to local.
# Make sure to replace the <username> and <repo-name> to the right values.
git clone https://github.com/<username>/<repo-name>.git
cd <repo-name>If you want to build and run the example app, skip this step below and go to Step 3.
Otherwise, develop your own application by revising files in src.
my_app.h: Implement your algorithm logic here, e.g.,PEvalandIncEvalin PIE model.my_app_context.h: Auxiliary data structures for the intermediate data across iterations.
make build & cd build
cmake .. && make # build the application.
make package # package as a graphscope-recognized resource (.gar)
make test # run a simple test. Here is an example to run the packaged gar file in GraphScope Python interface.
import graphscope
from graphscope.framework.app import load_app
from graphscope.dataset import load_p2p_network
sess = graphscope.session()
simple_graph = load_p2p_network(sess)._project_to_simple()
my_app = load_app('<path_to_your_gar_resource>')
result = my_app(simple_graph, 10) # pass 10 as param1 defined in 'MyAppContext.h'
print(result.to_numpy('r'))In the src folder, we provide a simple example of my_app, which computing the degree for each vertex.
.
├── CMakeLists.txt
├── FindGraphScope.cmake ➝ find graphscope module
├── README.md
└── src
├── my_app.h ➝ algorithm logics
└── my_app_context.h ➝ context with auxiliary data for the algorithm