This short challenge introduces you to handling control flow while making asynchronous HTTP requests to major search engines.
Be careful which files you open, as all the solutions are already present in this repository.
The file setup.js contains a short bit of bootstrap which will time your
script and also provides the search URLs.
> node setup
{ google: 'http://google.com/search?q=',
bing: 'http://www.bing.com/search?q=',
yahoo: 'http://search.yahoo.com/search?p=',
ask: 'http://www.ask.com/web?q=',
duck: 'http://duckduckgo.com/?q=' }
Start with challenge.js, which requires the URL list and takes the search
terms from the command line.
Useful Links: http://nodejs.org/docs/latest/api/http.html http://nodejs.org/docs/latest/api/url.html
Use node's stdlib HTTP client to make a request to each of the search engines and then print the first 100 characters of the response to the console.
Solution: challenge-parallel.js
To demonstrate the complexities of control flow with async, now modify your previous solution to make the requests one-at-a-time.
You can try and do this by hand, or use the async library.
Solutions: challenge-series.js challenge-series-async.js
Firing stuff off in parallel is easy enough, but knowing when asynchronous tasks have completed is less so. Combine the results of all of the queries into a single object keyed by engine name that contains the time taken to process the request and the data.
{
google: {time: 1.34, data: '<html>...' },
yahoo: {time: 1.34, data: '<html>...' },
bing: {time: 1.34, data: '<html>...' },
...
}
Again, you can try and do this by hand, or use the async library.
Solutions: challenge-summary.js challenge-summary-async.js
For bonus points pull the URL to the first result out of the data and include that in the returned object.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent