High Performance API Mashups with Node.js and ql.io
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High Performance API Mashups
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High Performance API Mashups with Node.js and ql.io
- 1. High Performance Mashups Using ql.io and Node.js Jonathan LeBlanc Developer Evangelist (PayPal) Twitter: @jcleblanc | @PayPalDev Github: github.com/jcleblanc
- 3. ql.io: The Problem is API Overload
- 4. ql.io: Reducing Workload + Processing Reduced Documentation Reduced Code Length Reduced Result Syncing
- 5. ql.io: Increasing Performance (Requests)
- 6. ql.io: Error Handling and Reporting
- 7. ql.io: Open Standard Foundation
- 9. ql.io: Using the System Standalone Server / Web Endpoint Node.js App
- 10. Language: Defining a Data Source Include in Request Include in .ql Table
- 11. ql.io: The Test Console Test Console: http://ql.io/console
- 12. Language: Including Script Routes user = "jcleblanc"; slides = select * from slideshare where user="{user}"; twitter = select * from github.users where user="{user}"; return { "slides": "{slides}", "twitter": "{twitter}" } via route '/social' using method post;
- 13. Language: Using Script Routes curl --header "content-type: application/x-www-form-urlencoded" -d "user=jcleblanc" http://localhost:3000/social
- 16. Example: jQuery for Cross Domain Reqs
- 17. Let’s Do It!
- 18. Tools: API Masher Visualization Engine: https://github.com/jcleblanc/api-masher Technology Backbone – ql.io – jQuery – Mustache Templates
- 20. Node.js: Installing the Package npm install ql.io-engine
- 21. Node.js: Including the Engine var Engine = require('ql.io-engine'); var engine = new Engine({ … });
- 22. Node.js: Invoking the Engine var script = "select * from …"; engine.execute(script, function(emitter){ emitter.on("end", function(err, res){ console.log(res['body'][0]); }); });
- 23. Tools: External API Tables Tables Source: https://github.com/jcleblanc/ql.io-tables https://github.com/ql-io/ql.io- site/tree/master/tables
- 24. Thank You! Any Questions? http://www.slideshare.net/jcleblanc Jonathan LeBlanc Developer Evangelist (PayPal) Twitter: @jcleblanc | @PayPalDev Github: github.com/jcleblanc
Hinweis der Redaktion
- Mashing up multiple data sourcesPerformance issues
- Language based on a SQL-like syntax which exports all data to JSON
- A create table call (to define a data source) may be included in the HTTP request to the ql.io web source or defined in a .ql file, which is added into the /tables directory of your application.
- create table slideshare on select get from "http://www.slideshare.net/rss/user/{user}" resultset "rss.channel";create table github on select get from "https://api.github.com/users/{user}";user = "jcleblanc";slides = select * from slideshare where user="{user}";person = select * from github where user="{user}";return { "slides": "{slides}", "person": "{person}"}
- Route files are also stored with the .ql extension but are placed under the routes directory
- First we need some mustache power
- Route files are also stored with the .ql extension but are placed under the routes directory
- -- http://api.hunch.com/api/v1/get-recommendations/?user_id=tw_jcleblanc&topic_id=cat_electronics&limit=5create table hunch on select get from "http://api.hunch.com/api/v1/get-recommendations/?user_id={uid}&topic_ids={tid}&limit={limit}" using defaults limit="20" resultset "recommendations";--select title from hunch where uid="tw_jcleblanc" and tid="cat_electronics";select * from finditems where keywords in (select title from hunch where uid="tw_jcleblanc" and tid="cat_electronics");