This is the Java implementation of ua-parser. The implementation uses the shared regex patterns and overrides from regexes.yaml.
mvn package
import ua_parser.Parser;
import ua_parser.Client;
...
String uaString = "Mozilla/5.0 (iPhone; CPU iPhone OS 5_1_1 like Mac OS X) AppleWebKit/534.46 (KHTML, like Gecko) Version/5.1 Mobile/9B206 Safari/7534.48.3";
Parser uaParser = new Parser();
Client c = uaParser.parse(uaString);
System.out.println(c.userAgent.family); // => "Mobile Safari"
System.out.println(c.userAgent.major); // => "5"
System.out.println(c.userAgent.minor); // => "1"
System.out.println(c.os.family); // => "iOS"
System.out.println(c.os.major); // => "5"
System.out.println(c.os.minor); // => "1"
System.out.println(c.device.family); // => "iPhone"in Hive: (copy ua-parser.jar into your CLASSPATH, and create function)
-- add jar to classpath
add jar ua-parser.jar;
-- create function
CREATE TEMPORARY FUNCTION parse_agent as 'ua_parser.hive.ParseAgent';
-- count visits
SELECT parsed_agent['os_family'] AS os_family, COUNT(*) AS cnt
FROM (
SELECT parse_agent(user_agent) AS parsed_agent
FROM table_name
WHERE date='today'
) x
GROUP BY parsed_agent['os_family']
ORDER BY cnt DESC LIMIT 1000;- Steve Jiang @sjiang
Based on the python implementation by Lindsey Simon and using agent data from BrowserScope