redb：嵌入式DB

use redb::{Database, Error, ReadableTable, TableDefinition};

const TABLE: TableDefinition<str, u64> = TableDefinition::new("my_data");

let main() -> Result<(), Error> {
let db = unsafe {Database::create("my_db.redb", 1024 * 1024)? };
let write_txn = db.begin_writer()?;
    {
let mut talbe = write_txt.open_table(TABLE)?;
        table.insert("my_key", &123)?;
    }
    write_txt.commit()?;

let read_txt = db.begin_read()?;
let table = read_txn.open_table(TABLE)?;
assert_eq!(table.get("my_key")?.unwrap(), 123);

Ok(())
}

+--------------------+--------+--------+--------+
|                    | redb   | lmdb   | sled   |
+===============================================+
| bulk load          | 1605ms | 1294ms | 4642ms |
|--------------------+--------+--------+--------|
| individual writes  | 516ms  | 411ms  | 527ms  |
|--------------------+--------+--------+--------|
| batch writes       | 7444ms | 3938ms | 1465ms |
|--------------------+--------+--------+--------|
| large writes       |  12s   |  11s   |  315s  |
|--------------------+--------+--------+--------|
| random reads       | 716ms  | 649ms  | 1552ms |
|--------------------+--------+--------+--------|
| removals           | 1282ms | 1012ms | 1911ms |
+--------------------+--------+--------+--------+

Rust异步框架评测

• async_std 和 smol 非常接近标准库，并在某些负载上更优。
• Tokio 似乎受到 CPU-bound（Rust）异步任务的不利影响。
• Tokio 在 localhost 引入 8µs、在网络上引入 10 µs 的延迟。

Passerine：小巧简洁可扩展的功能脚本语言

rust-apache-age：AGE连接器

use apache_age::{AgeClient, Client, NoTls, AgType};
use serde::{Deserialize, Serialize};

let mut client = Client::connect_age(
"host=localhost user=postgres password=passwd port=8081",
  NoTls
).unwrap();

client.create_graph("my_apache_graph");

#[derive(Debug, Serialize, Deserialize, Clone)]
struct Person {
pub name: String,
pub surname: String,
}

match client.query_cypher::<()>(
"my_apache_graph",
"MATCH (n: Person) WHERE n.name = 'Alfred' RETURN {name: n.name, surname: n.surname}",
None,
) {
Ok(rows) => {
let x: AgType<Person> = rows[0].get(0);
// do whatever you need
    }
Err(e) => {
// handle error
    }
}

client.drop_graph("my_apache_graph");

ripsecrets：防止密钥提交

• 关注预提交：从一开始就防止密钥被提交比后面处理要容易的多。
• 速度极快：比其他工具快 95 倍。
• 始终本地操作：仅本地执行，永远不会发送数据。
• 误报率低：基于概率方法，比其他工具更准确。
• 没有依赖的单个二进制文件。

stevedore：Win下更好地使用的Docker

pydantic-core：pydantic验证

from pydantic_core import SchemaValidator, ValidationError

v = SchemaValidator({
'title': 'MyModel',
'type': 'model',
'fields': {
'name': {
'type': 'str',
        },
'age': {
'type': 'int-constrained',
'ge': 18,
        },
'is_developer': {
'type': 'bool',
'default': True,
        },
    },
})
print(v)
"""
SchemaValidator(title="MyModel", validator=ModelValidator ...
"""

r1 = v.validate_python({'name': 'Samuel', 'age': 35})
print(r1)
"""
(
  {'name': 'Samuel', 'age': 35, 'is_developer': True}, <- validated data
  {'age', 'name'} <- fields set
)
"""

# pydantic-core can also validate JSON directly
r2 = v.validate_json('{"name": "Samuel", "age": 35}')
assert r1 == r2

try:
    v.validate_python({'name': 'Samuel', 'age': 11})
except ValidationError as e:
    print(e)
"""
    1 validation error for MyModel
    age
      Value must be greater than or equal to 18
      [kind=int_greater_than_equal, context={ge: 18}, input_value=11, input_type=int]
    """

Rust平台crate

pg2rs：pg到rust源码

mod structs;
use structs::{User};
let result = client.query("SELECT * FROM \"Users\"", &[]).await.unwrap();
let users: Vec<User> = result.into_iter().map(|row| User::from(row)).collect();
println!("{:#?}", users);

资源和教程

• 新手资源：https://apollolabsblog.hashnode.dev/35-rust-learning-resources-every-beginner-should-know-in-2022
• Nim，Zig，Rust，C++编译时间评测：https://castillodel.github.io/compile-time-evaluation/
• 一个项目中引入两个不同版本的 crates：https://reltech.substack.com/p/including-two-versions-of-a-rust?s=r
• 对 DynamoDB 全文检索：https://jakejscott.com/full-text-search-for-dynamodb-using-lambda-efs-tantivy-and-rust
• 命令行参数解析工具 clap 使用：https://blog.logrocket.com/command-line-argument-parsing-rust-using-clap/

From 日报小组 长琴

• Rustcc 论坛：支持 rss
• 微信公众号：Rust 语言中文社区