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315 changes: 315 additions & 0 deletions docs/quick-start.md
Original file line number Diff line number Diff line change
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# Quick start

Spider is a distributed system for executing user-defined tasks. It is designed to achieve low
latency, high throughput, and robust fault tolerance.

The guide below briefly describes how to get started with running a task on Spider.

To get started with Spider, you’ll need to:

* Write a task
* Build the task into a shared library
* Write a client to manage the task
* Build the client
* Set up a Spider cluster
* Run the client

# Requirements

To run through the guide below, you'll need:

* CMake
* GCC 10+ or Clang 7+
* [Docker]
* If you're not running as root, ensure `docker` can be run
[without superuser privileges][docker-non-root].

# Writing a task

In Spider, a task is C++ function that satisfies the following conditions:
* It is a non-member function.
* It takes one or more parameters:
* the first parameter must be a `TaskContext`.
* all other parameters must have types that conform to the `Serializable` or `Data` interfaces.
* It returns a value that conforms to the `Serializable` or `Data` interfaces.

> [!NOTE]
> You don’t immediately need to understand the TaskContext, Serializable, or Data types as we'll
> explain them in later sections.

For example, the task below computes and returns the sum of two integers.

> [!NOTE]
> The task is split into a header file and an implementation file so that it can be loaded as a
> library in the worker, as we'll see in later sections.

_tasks.hpp_

```c++
#include <spider/client/spider.hpp>

// Task function prototype
/**
* @param context
* @param x
* @param y
* @return The sum of x and y.
*/
auto sum(spider::TaskContext& context, int x, int y) -> int;

```

_tasks.cpp_

```c++
#include "tasks.hpp"

#include <spider/client/spider.hpp>

// Task function implementation
auto sum(spider::TaskContext& context, int x, int y) -> int {
return x + y;
}

// Register the task with Spider
SPIDER_REGISTER_TASK(sum);

```

The integer parameters and return value are `Serializable` values.
The `SPIDER_REGISTER_TASK` macro at the bottom of `tasks.cpp` is how we inform Spider that a
function should be treated as a task.

# Building the task into a shared library

In order for Spider to run a task, the task needs to be compiled into a shared library that Spider
can load.

Suppose that spider is added in subdirectory `spider`, we can set up the following `CMakeLists.txt`
to build the task library:

```cmake
cmake_minimum_required(VERSION 3.22.1)
project(spider_example)

# Add spider library
add_subdirectory(spider)

# Add the task library
add_library(tasks SHARED tasks.cpp tasks.hpp)
# Link the spider library to the task library
target_link_libraries(tasks PRIVATE spider::spider)
```

To build the shared library, run the following from the root of the project:

```shell
cmake -S . -B build
cmake --build build --parallel $(nproc) --target tasks
```

# Writing a client to manage the task

To make Spider to run a task, we first need to write a client application. Generally, a client:

1. connects to Spider;
2. submits the task for execution;
3. waits for its completion—whether it succeeds or fails;
4. and then handles the result.

For example, the client below runs the `sum` task from the previous section and verifies its result.

_client.cpp_

```c++
#include <iostream>
#include <string>

#include <spider/client/spider.hpp>

#include "tasks.hpp"

auto main(int argc, char const* argv[]) -> int {
// Parse the storage backend URL from the command line arguments
if (argc < 2) {
std::cerr << "Usage: ./client <storage-backend-url>" << '\n';
return 1;
}
std::string storage_url{argv[1]};
if (storage_url.empty()) {
std::cerr << "storage-backend-url cannot be empty." << '\n';
}

// Create a driver that connects to the Spider cluster
spider::Driver driver{storage_url};

// Submit the task for execution
spider::Job<int> job = driver.start(sum, 2, 3);

// Wait for the job to complete
job.wait_complete();

// Handle the job's success/failure
auto job_status = job.get_status();
switch (job_status) {
case JobStatus::Succeeded: {
auto result = job_status.get_result();
if (result == job_status.get_result()) {
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⚠️ Potential issue

Fix the result comparison logic

The condition is comparing the result with itself, which will always be true:

if (result == job_status.get_result())

Should be:

-if (result == job_status.get_result())
+if (result == 5)  // Expected sum of 2 + 3

return 0;
} else {
std::cerr << "`sum` returned unexpected result. Expected: 5. Actual: " << result
<< '\n'.
return 1;
Comment on lines +160 to +162
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⚠️ Potential issue

Fix syntax error in error message

There's an invalid period after the string concatenation.

-                            << '\n'.
+                            << '\n';
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
std::cerr << "`sum` returned unexpected result. Expected: 5. Actual: " << result
<< '\n'.
return 1;
std::cerr << "`sum` returned unexpected result. Expected: 5. Actual: " << result
<< '\n';
return 1;

}
}
case JobStatus::Failed:
std::pair<std::string, std::string> error_and_fn_name = job.get_error();
std::cerr << "Job failed in function " << error_and_fn_name.second << " - "
<< error_and_fn_name.first << '\n';
return 1;
default:
std::cerr << "Job is in unexpected state - " << job_status << '\n';
return 1;
}
}

```

When we submit a task to Spider, Spider returns a `Job` , which represents a scheduled, running, or
completed task (or `TaskGraph`) in a Spider cluster.

> [!NOTE]
> `Job`s and `TaskGraph`s will be explained in another guide.

# Building the client

The client can be compiled like any normal C++ application except that we need to link it to the
Spider client library.

Again, suppose that spider is added in subdirectory `spider`, we can set up the following
`CMakeLists.txt` to build the client program:

```cmake
cmake_minimum_required(VERSION 3.22.1)
project(spider_example)

# Add spider library
add_subdirectory(spider)

# Add the client
add_executable(client client.cpp)
# Link the spider library to the client
target_link_libraries(client PRIVATE spider::spider)
```

To build the client executable, run the following from the root of the spider project:

```shell
cmake -S . -B build
cmake --build build --parallel $(nproc) --target client
```

# Setting up a Spider cluster

Before we can run the client, we need to start a Spider cluster. The simplest Spider cluster
consists of:

* a storage backend;
* a scheduler instance;
* and a worker instance.

## Setting up a storage backend

Spider currently supports using MySQL or MariaDB as a storage backend. In this guide, we'll start
MariaDB in a Docker container:

```shell
docker run \
--detach \
--rm \
--name spider-storage \
--env MARIADB_USER=spider \
--env MARIADB_PASSWORD=password \
--env MARIADB_DATABASE=spider-storage \
--env MARIADB_ALLOW_EMPTY_ROOT_PASSWORD=true \
--publish 3306:3306 mariadb:latest
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🛠️ Refactor suggestion

Add security warning for credentials

The example uses hardcoded credentials in plain text. Consider adding a security note about:

  • Using environment variables for credentials
  • Implementing proper authentication in production
  • Using secure password practices

```

> [!WARNING]
> When the container above is stopped, the database will be deleted. In production, you should set
> up a database instance with some form of data persistence.

Alternatively, if you have an existing MySQL/MariaDB instance, you can use that as well. Simply
create a database and authorize a user to access it.

## Setting up the scheduler

To build the scheduler, run the following from the root of the project:

```shell
cmake -S . -B build
cmake --build build --parallel $(nproc) --target spider_scheduler
```

To start the scheduler, run:

```shell
build/src/spider/spider_schdeuler \
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⚠️ Potential issue

Fix typo in scheduler command

There's a typo in the executable name.

-build/src/spider/spider_schdeuler \
+build/src/spider/spider_scheduler \
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
build/src/spider/spider_schdeuler \
build/src/spider/spider_scheduler \

--storage_url \
"jdbc:mariadb://localhost:3306/spider-storage?user=spider&password=password" \
--port 6000
```

NOTE:

* If you used a different set of arguments to set up the storage backend, ensure you update the
`storage_url` argument ihn the command.
* If the scheduler fails to bind to port `6000`, change the port in the command and try again.

## Setting up a worker

To build the worker, run the following from the root of the project:

```shell
cmake -S . -B build
cmake --build build --parallel $(nproc) --target spider_worker
```

To start a worker, run:

```shell
build/src/spider/spider_worker \
--storage_url \
"jdbc:mariadb://localhost:3306/spider-storage?user=spider&password=password" \
--port 6000
```

NOTE:

If you used a different set of arguments to set up the storage backend, ensure you update the
`storage_url` argument in the command.

> [!TIP]
> You can start multiple workers to increase the number of concurrent tasks that can be run on the
> cluster.

# Running the client

To run the client:

```shell
./client "jdbc:mariadb://localhost:3306/spider-storage?user=spider&password=password"
```

NOTE:

If you used a different set of arguments to set up the storage backend, ensure you update the
storage backend URL in the command.

# Next steps

In future guides, we'll explain how to write more complex tasks as well as how to leverage Spider's
support for fault tolerance.

[Docker]: https://docs.docker.com/engine/install/
[docker-non-root]: https://docs.docker.com/engine/install/linux-postinstall/#manage-docker-as-a-non-root-user
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