我正在尝试将文件上传到awsin rust，因为我正在使用 s3 rust 客户端，当这些部分是从单个rusoto_s3线程发送时，我设法让多部分上传代码工作，但是，这不是我想要的，我想上传大文件，我希望能够在多个线程中发送这些部分，为此，我做了一点谷歌搜索，我遇到了rayon。
有关信息，分段上传的工作方式如下：
- 启动多部分 -> aws 将返回一个 ID
- 使用这个ID发送不同的part，传递文件chunk，part number -> aws会返回一个
Etag - 发送所有部分后，发送一个完整的上传请求，其中包含所有已完成的部分，因为数组包含
Etag和 部分编号。
我是 rust 新手，来自 C++ 和 Java 背景，这是我的代码：
#[tokio::test]
async fn if_multipart_then_upload_multiparts_dicom() {
let now = Instant::now();
dotenv().ok();
let local_filename = "./files/test_big.DCM";
let destination_filename = "24_time_test.dcm";
let mut file = std::fs::File::open(local_filename).unwrap();
const CHUNK_SIZE: usize = 7_000_000;
let mut buffer = Vec::with_capacity(CHUNK_SIZE);
let client = super::get_client().await;
let create_multipart_request = CreateMultipartUploadRequest {
bucket: client.bucket_name.to_owned(),
key: destination_filename.to_owned(),
..Default::default()
};
// Start the multipart upload and note the upload_id generated
let response = client
.s3
.create_multipart_upload(create_multipart_request)
.await
.expect("Couldn't create multipart upload");
let upload_id = response.upload_id.unwrap();
// Create upload parts
let create_upload_part = |body: Vec<u8>, part_number: i64| -> UploadPartRequest {
UploadPartRequest {
body: Some(body.into()),
bucket: client.bucket_name.to_owned(),
key: destination_filename.to_owned(),
upload_id: upload_id.to_owned(),
part_number: part_number,
..Default::default()
}
};
let completed_parts = Arc::new(Mutex::new(vec![]));
rayon::scope(|scope| {
let mut part_number = 1;
loop {
let maximum_bytes_to_read = CHUNK_SIZE - buffer.len();
println!("maximum_bytes_to_read: {}", maximum_bytes_to_read);
file.by_ref()
.take(maximum_bytes_to_read as u64)
.read_to_end(&mut buffer)
.unwrap();
println!("length: {}", buffer.len());
println!("part_number: {}", part_number);
if buffer.len() == 0 {
// The file has ended.
break;
}
let next_buffer = Vec::with_capacity(CHUNK_SIZE);
let data_to_send = buffer;
let completed_parts_cloned = completed_parts.clone();
scope.spawn(move |_| {
let part = create_upload_part(data_to_send.to_vec(), part_number);
{
let part_number = part.part_number;
let client = executor::block_on(super::get_client());
let response = executor::block_on(client.s3.upload_part(part));
completed_parts_cloned.lock().unwrap().push(CompletedPart {
e_tag: response
.expect("Couldn't complete multipart upload")
.e_tag
.clone(),
part_number: Some(part_number),
});
}
});
buffer = next_buffer;
part_number = part_number + 1;
}
});
let completed_upload = CompletedMultipartUpload {
parts: Some(completed_parts.lock().unwrap().to_vec()),
};
let complete_req = CompleteMultipartUploadRequest {
bucket: client.bucket_name.to_owned(),
key: destination_filename.to_owned(),
upload_id: upload_id.to_owned(),
multipart_upload: Some(completed_upload),
..Default::default()
};
client
.s3
.complete_multipart_upload(complete_req)
.await
.expect("Couldn't complete multipart upload");
println!(
"time taken: {}, with chunk:: {}",
now.elapsed().as_secs(),
CHUNK_SIZE
);
}
这是我得到的输出和错误示例：
maximum_bytes_to_read: 7000000
length: 7000000
part_number: 1
maximum_bytes_to_read: 7000000
length: 7000000
part_number: 2
maximum_bytes_to_read: 7000000
thread '<unnamed>' panicked at 'there is no reactor running, must be called from the context of a Tokio 1.x runtime', C:\Users\DNDT\.cargo\registry\src\github.com-1ecc6299db9ec823\tokio-1.2.0\src\runtime\blocking\pool.rs:85:33
note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace
thread '<unnamed>' panicked at 'there is no reactor running, must be called from the context of a Tokio 1.x runtime', C:\Users\DNDT\.cargo\registry\src\github.com-1ecc6299db9ec823\tokio-1.2.0\src\runtime\blocking\pool.rs:85:33
length: 7000000
我用谷歌搜索了这个错误，但我并不清楚它的实际含义：
there is no reactor running, must be called from the context of Tokio runtime”
这是我发现的： another question with the same error
这似乎是一些兼容性问题，因为 s3 可能使用的某些版本tokio与我拥有的 tokio 版本不兼容。
以下是一些相关的依赖项：
tokio = { version = "1", features = ["full"] }
tokio-compat-02 = "0.1.2"
rusoto_s3 = "0.46.0"
rusoto_core = "0.46.0"
rusoto_credential = "0.46.0"
rayon = "1.5.0"
我认为主要问题在于实际上想要在线程中运行async代码。rayon我尝试async使用 将我的代码更改为阻塞代码executor::block_on，我还花了一些时间试图让编译器满意，我有多个线程都想写入，let completed_parts = Arc::new(Mutex::new(vec![]));所以我在这里做了一些克隆以使编译器满意。
另外，如果我用过的craes很重要，那么它们是：
extern crate dotenv;
extern crate tokio;
use bytes::Bytes;
use dotenv::dotenv;
use futures::executor;
use futures::*;
use rusoto_core::credential::{EnvironmentProvider, ProvideAwsCredentials};
use rusoto_s3::util::{PreSignedRequest, PreSignedRequestOption};
use rusoto_s3::PutObjectRequest;
use rusoto_s3::StreamingBody;
use rusoto_s3::{
CompleteMultipartUploadRequest, CompletedMultipartUpload, CompletedPart,
CreateMultipartUploadRequest, UploadPartRequest, S3,
};
use std::io::Read;
use std::sync::{Arc, Mutex};
use std::time::Duration;
use std::time::Instant;
use tokio::fs;
生锈的新手，所以有很多移动部件可以让这个正确！