You can take the same source code package that Ubuntu uses to build jq, compile it again, and realize 90% better performance.
I use jq for processing GeoJSON files and other open data offered in JSON format. Today I am working with a 500MB GeoJSON file that contains the Alameda County Assessor's parcel map. I want to run a query that prints the city for every parcel worth more than a threshold amount. The program is
Some notes and tools for reverse engineering / deobfuscating / unminifying obfuscated web app code.
| //first read about how to do something similar here: | |
| http://atombrenner.blogspot.com/2012/09/embed-url-links-in-teamcity-build-logs.html | |
| //plugin location | |
| http://confluence.jetbrains.com/display/TW/StaticUIExtensions | |
| //download at: | |
| http://teamcity.jetbrains.com/repository/download/TeamCityPluginsByJetBrains_StaticUiExtensionsAgainstTeamCity8/latest.lastSuccessful/static-ui-extensions.zip | |
| //after downloading you can go to you team city administrator, go to plugins, and upload the one you just downloaded | |
| //restart TC web server so that it registers the plugin, once you go back you should have 1 more |
Attention: the list was moved to
https://github.com/dypsilon/frontend-dev-bookmarks
This page is not maintained anymore, please update your bookmarks.
| This playbook has been removed as it is now very outdated. |
