# Writing Own Executors¶

This section covers how to write a new executor, i.e. how to create a program that introduces new tasks type to Rain. A governor spawns and stops executors as needed according tasks that are assigned to it. Each tasks always specifies what kind of executor it needs.

There are generally two types of executors: Universal executors and Specialized executors. The universal one allows to execute an arbitrary code and specialized offers a fix of tasks that they provide.

The current version of Rain supports universal executor for Python. This is how @remote() decorator works. It serializes a decorated function into a data object and creates a task that needs Python executor that executes it.

For languages where code cannot be simply transferred in a portable way, Rain offers tasklibs, a libraries for writing specialized executors. The current version provides tasklibs for C++ and Rust. A tasklib allows to create a stand-alone program that know how to communicate with governor and provides a set of functions.

This sections shows how to write new tasks using tasklibs for C++ and Rust and how to create run this tasks from client.

Note: Governor itself also provides some of basic task types, that are provided through a virtual executor called buildin. You may see this “executor” in dashboard.

The documentation for writing executor in Rust can be found at https://docs.rs/rain_task/. Registration of an executor into a governor and using client API are same for all executors (Registration in governor and Client API).

Note

C++ tasklib is not fully finished. It allows to write basic task types, but some of more advanced features (e.g. working with attributes) are not implemented yet.

### Getting started¶

The following code shows how to create an executor named “example1” that provides one task type “hello”. This task takes one blob as the input, and returns one blob as the output.

#include <tasklib/executor.h>

int main()
{
// Create executor, the argument is the name of the executor

// Register task "hello"

// Check that we been called exactly with 1 argument.
// If not, the error message is set to context
if (!ctx.check_n_args(1)) {
return;
}

// This is body of our task, in our case, it reads the input data object
// inserts "Hello" before the input and appends "!"
auto& input1 = inputs[0];
std::string str = "Hello " + input1->read_as_string() + "!";

// Create new data instance and set it as one (and only) result
// of the task
});

// Connect to governor and serve registered tasks
// This function is never finished.
executor.start();
}


### Building¶

To compile the example we need to creating following file structure:

• myexecutor
• myexecutor.cpp – Source code of our example
• CMakeFile.txt – CMake configuration file. The content is below.
• tasklib – Copy of tasklib from Rain repository (located in rain/cpp/tasklib)

Content of CMakeFile.txt is following:

cmake_minimum_required(VERSION 3.1)
project(myexecutor)

myexecutor.cpp)

target_include_directories(myexecutor PUBLIC ${CBOR_INCLUDE_DIRS}${CMAKE_CURRENT_SOURCE_DIR}/src)
target_link_libraries (myexecutor tasklib ${CBOR_LIBRARIES} pthread)  Now, we can build the executor as follows: $ cd myexecutor
$mkdir _build$ cd _build
$cmake ..$ make


## Registration in governor¶

When you write your own executors, you have to registrate them in the governor. For this purpose, you have to create a configuration file for governor.

As an example, let us assume that we want to register called “example1”.

[executors.example1]
command = "/path/to/executor/binary"


The configuration is in TOML format. If we save it as /path/to/config.toml we can provide the path to the governor by starting as follows:

rain governor <SERVER_ADDRESS> --config=/path/to/config.toml


or if you are using “rain start”:

rain start --simple --governor-config=/path/to/config


More about starting Rain can be found at Starting infrastructure.

## Client API¶

This section describes how to call own tasks from Python API.

Each task contains a string value called task_type that specifies executor and function. It has format <EXECUTOR>/<FUNCTION>. So far we have created (and registered) own executor called example1 that provides task hello. The task type is example1/hello.

The followig code creates a class Hello that serves for calling our task:

from rain.client import Task

""" Task takes one blob as input and puts b"Hello " before
and "!" after the input. """

def __init__(self, obj):
# Define task with one input and one output,
# Outputs may be a (labelled) list of data objects or a number.
# If a number is used than it creates the specified number of blob outputs
super().__init__(inputs=(obj,), outputs=1)


This class can be used to create task in task graph in the same way as tasks from module rain.client.tasks, e.g.:

with client.new_session() as session:
a = blob("Hello world")
t = Hello(a)
session.submit()
print(t.output.fetch().get_bytes())  # prints b"Hello WORLD!"
`