使用 Streams API 处理若完全缓冲会超出 Worker 128 MB 内存限制的 JSON 载荷。流式传输允许你在数据到达时增量解析和转换 JSON。这比将整个载荷缓冲到内存中更快,Worker 可以立即开始处理数据,并能在内存限制内处理 GB 级载荷或文件。
@streamparser/json-whatwg ↗ 库提供与 Web Streams API 兼容的流式 JSON 解析器。
安装依赖:
npm install @streamparser/json-whatwg此示例解析大型 JSON 请求体,并在不将整个载荷加载到内存的情况下提取特定字段。
import { JSONParser } from "@streamparser/json-whatwg";
export default {
async fetch(request): Promise<Response> {
const parser = new JSONParser({ paths: ["$.users.*"] });
const users: string[] = [];
// Pipe the request body through the JSON parser
const reader = request.body
.pipeThrough(parser)
.getReader();
// Process matching JSON values as they stream in
while (true) {
const { done, value } = await reader.read();
if (done) break;
// Extract only the name field from each user object
if (value.value?.name) {
users.push(value.value.name);
}
}
return Response.json({ userNames: users });
},
} satisfies ExportedHandler;import { JSONParser } from "@streamparser/json-whatwg";
export default {
async fetch(request) {
const parser = new JSONParser({ paths: ["$.users.*"] });
const users = [];
// Pipe the request body through the JSON parser
const reader = request.body
.pipeThrough(parser)
.getReader();
// Process matching JSON values as they stream in
while (true) {
const { done, value } = await reader.read();
if (done) break;
// Extract only the name field from each user object
if (value.value?.name) {
users.push(value.value.name);
}
}
return Response.json({ userNames: users });
},
};此示例从上游 API 获取大型 JSON 响应,转换特定字段,并将修改后的响应流式传输给客户端。
import { JSONParser } from "@streamparser/json-whatwg";
export default {
async fetch(request): Promise<Response> {
const response = await fetch("https://api.example.com/large-dataset.json");
const parser = new JSONParser({ paths: ["$.items.*"] });
const { readable, writable } = new TransformStream();
const writer = writable.getWriter();
const encoder = new TextEncoder();
// Process the upstream response in the background
(async () => {
const reader = response.body
.pipeThrough(parser)
.getReader();
await writer.write(encoder.encode('{"processedItems":['));
let first = true;
while (true) {
const { done, value } = await reader.read();
if (done) break;
// Transform each item as it streams through
const item = value.value;
const transformed = {
id: item.id,
title: item.title.toUpperCase(),
processed: true,
};
if (!first) await writer.write(encoder.encode(","));
first = false;
await writer.write(encoder.encode(JSON.stringify(transformed)));
}
await writer.write(encoder.encode("]}"));
await writer.close();
})();
return new Response(readable, {
headers: { "Content-Type": "application/json" },
});
},
} satisfies ExportedHandler;import { JSONParser } from "@streamparser/json-whatwg";
export default {
async fetch(request) {
const response = await fetch("https://api.example.com/large-dataset.json");
const parser = new JSONParser({ paths: ["$.items.*"] });
const { readable, writable } = new TransformStream();
const writer = writable.getWriter();
const encoder = new TextEncoder();
// Process the upstream response in the background
(async () => {
const reader = response.body
.pipeThrough(parser)
.getReader();
await writer.write(encoder.encode('{"processedItems":['));
let first = true;
while (true) {
const { done, value } = await reader.read();
if (done) break;
// Transform each item as it streams through
const item = value.value;
const transformed = {
id: item.id,
title: item.title.toUpperCase(),
processed: true,
};
if (!first) await writer.write(encoder.encode(","));
first = false;
await writer.write(encoder.encode(JSON.stringify(transformed)));
}
await writer.write(encoder.encode("]}"));
await writer.close();
})();
return new Response(readable, {
headers: { "Content-Type": "application/json" },
});
},
};- Streams API — 了解 Workers 中的流式传输
- TransformStream — 创建自定义流转换
- @streamparser/json-whatwg ↗ — 流式 JSON 解析器文档