DGraph

DGraph is a large-scale graph processing system.

It gives you simple APIs and very fast computing speed.

Its core algorithm is SCC-DAG execution model.

Start Up

Install

mkdir DGraph
cd DGraph
mkdir bin
mkdir source
cd source
git clone <DGraph git URL>
make
make install

After install, the execute files are in bin dir

Run

First, we need to generate DGraph files(preprocessing) from a certain original graph dataset. After that, we can run many algortihm on the DGraph files.

Preprocessing graph dataset

1. Prepare a dataset

You can get dataset from SNAP

Dataset format that DGraph support:

(1) Adj-format: 

    0 232 3423 324
    1 100 234 232 3324
    2 324 45 65 2324
    ...
    
(2) Edge-list:

    0 232
    0 3423
    0 324
    1 100
    1 234
    1 232
    ...

2. Generate DGraph files

cd DGraph
mkdir test
./bin/build.sh <dataset.txt> test

And this dataset's DGraph files are:

bor_pg_vtxs_in.bin
bor_pg_vtxs_out.bin
calc_vid_order.bin
degree_pg_vtxs_in.bin
degree_pg_vtxs_out.bin
index_pg_vtxs_in.bin
index_pg_vtxs_out.bin
pg_id_to_vid.bin
pg_vid_to_id.bin
scc_group.bin
scc_topo_level.bin

Run algorithm

Eg: PageRank

#See Usage:
./bin/pagerank

You get

Usage ./pagerank <data dir> <generate value to dir> <thread num(default processor num)><print top(default 10)>

Run PageRank

./bin/pagerank test test

And you get results like

Loading SCC DAG data...
initialize vtxs data (vtxs num: 735322)
Initialize value container
Initialize scc data
Load success.
Thread num: 16
asyn para run

(Time: 1473046251624 delta: 363)
Top value:
0:	0.0418388
73532:	0.0838599
147064:	0.118305
220596:	0.273202
294128:	0.037107
367660:	0.0410002
441192:	0.210406
514724:	0.0498573
588256:	0.120761
661788:	0.0442025

Implement a self-designed graph algorithm

DGraph Implementation