Handling multiple concurrent optimistic updates

Illustrate a strategy for managing and synchronizing multiple concurrent optimistic updates in a component, ensuring that the user interface reflects a consistent and up-to-date state.
let optimisticUpdates = [];

function addOptimisticUpdate(update) {
Define a global array to track optimistic updates and a function to add updates to this array.
function rollbackOptimisticUpdate(id) {
  optimisticUpdates = optimisticUpdates.filter(update => !== id);
Function to roll back an optimistic update by ID, removing the update from the tracking array.
function applyOptimisticUpdate(data) {
  // Assume data is an object representing the new state
  optimisticUpdates.forEach(update => {
    // Apply each optimistic update to the data
    data = update.applyUpdate(data);
  return data;
Function to apply all tracked optimistic updates to the current state of data, ensuring the UI reflects these changes.
function handleMultipleConcurrentUpdates(updates) {
  updates.forEach(update => {
    // Apply optimistic update immediately to UI
    let tempData = applyOptimisticUpdate(;
    // Update UI with tempData
    // Simulate sending update to server
      .then(response => {
        // Success, remove optimistic update from tracking
      .catch(error => {
        // Rollback optimistic update if error
        // Optionally, restore UI to previous state
Function to handle and synchronize multiple concurrent optimistic updates. Applies each update to the UI, sends the update to the server, and rolls back if necessary.
function simulateServerRequest(update) {
  return new Promise((resolve, reject) => {
    // Simulate network request
    setTimeout(() => {
      if (Math.random() > 0.5) {
      } else {
    }, 1000);
Simulates a server request with a 50% chance of success or failure. Used to demonstrate handling of updates.