from sqlalchemy import select
from sqlalchemy.orm import Session
from .models import User
BATCH_SIZE = 1000
use std::time::Instant;
use axum::{
extract::Request,
http::HeaderValue,
middleware::Next,
package com.example.demo.config;
import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.annotation.EnableAsync;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
import org.springframework.context.annotation.Bean;
import json
from channels.generic.websocket import AsyncWebsocketConsumer
class ChatConsumer(AsyncWebsocketConsumer):
async def connect(self):
use sqlx::PgPool;
#[derive(sqlx::FromRow)]
struct User {
id: i32,
name: String,
'use strict';
const sleep = (ms) => new Promise((resolve) => setTimeout(resolve, ms));
function backoffDelay(attempt, baseMs, maxDelayMs) {
const exponential = baseMs * 2 ** attempt;
use tokio::time::{sleep, Duration};
#[tokio::main]
async fn main() {
let handle = tokio::spawn(async {
sleep(Duration::from_millis(100)).await;
import { EventEmitter } from "events";
export interface Job<T> {
id: string;
payload: T;
attempts: number;
use sqlx::PgPool;
use std::time::Duration;
use tokio::sync::mpsc;
#[derive(Debug, Clone)]
pub struct MetricPoint {
package com.example.myapp.data
import kotlinx.coroutines.*
import kotlinx.coroutines.flow.*
import retrofit2.http.GET
import retrofit2.http.POST
use std::time::Duration;
use rand::Rng;
#[derive(Clone, Debug)]
pub struct BackoffPolicy {
pub base_delay: Duration,
import { useEffect, useState } from "react";
export function useDebouncedValue<T>(value: T, delay = 300): T {
const [debounced, setDebounced] = useState<T>(value);
useEffect(() => {