Cloudflare Docs
Edit this page
Report an issue with this page
Log into the Cloudflare dashboard
Set theme to dark (⇧+D)

Querying Workers Analytics Engine from a Worker

If you want to access Analytics Engine data from within a Worker you can use fetch to access the SQL API. The API can return JSON data that is easy to interact with in JavaScript.

​​ Authentication

In order that your Worker can authenticate with the API you will need your account ID and an API token.

  • Your 32 character account ID can be obtained from the Cloudflare dashboard.
  • An API token can also be generated in the dashboard. Refer to the SQL API docs for more information on this.

We recommend storing the account ID as an environment variable and the API token as a secret in your worker. This can be done through the dashboard or through Wrangler. Refer to the Workers documentation for more details on this.

​​ Querying

Use the JavaScript fetch API as follows to execute a query:

const query = 'SELECT * FROM my_dataset'
const API = `${env.ACCOUNT_ID}/analytics_engine/sql`;
const response = await fetch(API, {
method: 'POST',
headers: {
'Authorization': `Bearer ${env.API_TOKEN}`,
body: query,
const responseJSON = await response.json();

The data will be returned in the format described in the FORMAT section of the API docs allowing you to extract meta information about the names and types of returned columns in addition to the data itself and a row count.

​​ Example Worker

The following is a sample Worker which executes a query against a dataset of weather readings and displays minimum and maximum values for each city.

​​ Environment variable setup

First the environment variables are set up with the account ID and API token.

The account ID is set in wrangler.toml:

ACCOUNT_ID = "<account_id>"

The API_TOKEN can be set as a secret, using the wrangler command line tool, by running the following and entering your token string:

$ npx wrangler secret put API_TOKEN

​​ Worker script

The worker script itself executes a query and formats the result:

export default {
async fetch(request, env) {
// This worker only responds to requests at the root.
if (new URL(request.url).pathname != '/') {
return new Response('Not found', {status: 404});
// SQL string to be executed.
const query = `
blob1 AS city,
max(double1) as max_temp,
min(double1) as min_temp
FROM weather
WHERE timestamp > NOW() - INTERVAL '1' DAY
ORDER BY city`;
// Build the API endpoint URL and make a POST request with the query string
const API = `${env.ACCOUNT_ID}/analytics_engine/sql`;
const queryResponse = await fetch(API, {
method: 'POST',
headers: {
'Authorization': `Bearer ${env.API_TOKEN}`,
body: query,
// The API will return a 200 status code if the query succeeded.
// In case of failure we log the error message and return a failure message.
if (queryResponse.status != 200) {
console.error('Error querying:', await queryResponse.text());
return new Response('An error occurred!', {status: 500});
// Read the JSON data from the query response and render the data as HTML.
const queryJSON = await queryResponse.json();
return new Response(
headers: {'content-type': 'text/html'},
// renderCity renders a table row as HTML from a data row.
function renderCity(row) {
return `<tr><td>${}</td><td>${row.min_temp}</td><td>${row.max_temp}</td></tr>`;
// renderResponse renders a simple HTML table of results.
function renderResponse(data) {
return `<!DOCTYPE html>
<tr><th>City</th><th>Min Temp</th><th>Max Temp</th></tr>