Using Queues to Avoid Race Conditions

This article explores how using queues can prevent race conditions in concurrent programming by ensuring orderly access to shared resources, enhancing data integrity and application reliability.

import { assertEquals } from "@app/core/server/deps.ts";
import { createTaskQueue } from "@app/utils/queue.ts";

Deno.test("Queue: create message", async () => {
  const q = createTaskQueue();
  const x = await q.process(() => "x");
  const y = await q.process(() => 1);
  const z = await q.process(() => true);
  const o = await q.process(() => ({}));
  const v = await q.process(() => {});
  assertEquals(x, "x");
  assertEquals(y, 1);
  assertEquals(z, true);
  assertEquals(o, {});
  assertEquals(v, undefined);
});

We have already implemented queue mechanisms in our store to effectively manage concurrent access to shared resources, allowing you to commit multiple data entries in parallel.

Deno.test("Store: sync, same size after multiple commit", async () => {
  const newStore = new Store({
    owner: "fastrodev",
    repo: "fastro",
    path: "modules/store/map.json",
    branch: "store",
    token,
  });
  await Promise.all([
    newStore.set("user", "zaid").commit(),
    newStore.set("gender", "male").commit(),
    newStore.set("city", "pare").commit(),
    newStore.set("country", "indonesia").commit(),
  ]);
  assertEquals(newStore.size(), 4);
});

This approach has allowed us to:

• Enhance Performance: By organizing requests in a queue, we can process them sequentially, reducing the likelihood of conflicts and improving overall system performance.
• Maintain Data Integrity: With controlled access to shared resources, we minimize the risk of data corruption, ensuring that transactions are completed accurately.
• Improve User Experience: Customers experience smoother interactions as their requests are handled in an orderly fashion, leading to faster response times and increased satisfaction.
• Scalability: Our queue system allows us to scale operations efficiently, accommodating higher volumes of transactions without compromising performance.

By leveraging this strategy, we have successfully mitigated race conditions, resulting in a more reliable and efficient store environment.