Crates.io | dge-gen |
lib.rs | dge-gen |
version | 0.2.0 |
source | src |
created_at | 2021-08-16 09:31:52.692106 |
updated_at | 2021-08-17 13:00:37.347237 |
description | Crate for building a computational graph to be executed distributely |
homepage | |
repository | https://github.com/qwfy/dge |
max_upload_size | |
id | 437826 |
size | 42,480 |
Conceptually:
It provides building blocks to build a computational graph, and generates the corresponding rust codes to execute the graph
The nodes in the graph represent heterogeneous computations
The edges represent data flow between nodes
The computational graph is static, meaning it cannot be changed once defined
The execution is distributed, meaning that the nodes can be executed on different machines
Concretely:
You define the graph via crate dge-gen
in a .rs
file,
compile & run it to generate the codes (including main.rs
, depends on dge-runtime
)
that when compiled, can be used to execute the graph
You compile the main.rs
to an executable binary,
each subcommand in this binary corresponds to a node in the graph.
You are responsible to launch the binary with appropriate subcommands. (i.e. DGE does not handle the deployment and launching of the binary)
You can launch arbitrary amounts (>= 1
) of instances of the same subcommand,
potentially on different machines
Each edge is backed by exactly one RabbitMQ queue, the nodes are consumers of this queue
At-least-once delivery is used, meaning that the business code your wrote for the node should be able to handle duplicate messages
The following graph corresponds to the computation (2 * x) * (x * x)
:
It is generated with code in dge-example/src/main_generate_code.rs
:
use dge_gen;
fn main() {
let mut graph = dge_gen::Graph::new(
"dge_example::behaviour::accept_failure::accept_failure",
"dge_example::behaviour::error::Error",
);
let start = graph.start("start");
let fan_out = graph.fan_out(
start,
"input",
"dge_example::behaviour::data::Integer",
"duplicate_input",
10
);
// ... some code omitted for brevity ...
graph
.generate(
"dge-example/src/generated",
"dge_example::behaviour::get_rmq_uri",
"dge_example_work_exchange",
"dge_example_retry_exchange",
"retry_",
"",
)
.unwrap()
}
When the above code is compiled and run, a main.rs
will be generated,
when the main.rs
is compiled, you get an executable with these subcommands:
dge-example
USAGE:
example <SUBCOMMAND>
FLAGS:
-h, --help Prints help information
-V, --version Prints version information
SUBCOMMANDS:
double # when executed, it creates an OS process that doubles the input
duplicate-input # send x to node double and square
init-exchanges-and-queues # initialize necessary RabbitMQ entities
multiply # creates a node that does multiplication
square # creates a node that calculates the square
These source files are generated for the above graph:
dge-example/src/generated/
├── double.rs
├── duplicate_input.rs
├── graph.dot
├── graph.svg
├── init_exchanges_and_queues.rs
├── main.rs
├── multiply.rs
└── square.rs