hivetable.sql

-- Summary: This sample shows you how to analyze CloudFront logs stored in S3 using Hive


-- Create table using sample data in S3.  Note: you can replace this S3 path with your own.
CREATE EXTERNAL TABLE IF NOT EXISTS cloudfront_logs (
  DateObject Date,
  Time STRING,
  Location STRING,
  Bytes INT,
  RequestIP STRING,
  Method STRING,
  Host STRING,
  Uri STRING,
  Status INT,
  Referrer STRING,
  OS String,
  Browser String, 
  BrowserVersion String
)
ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.RegexSerDe'
WITH SERDEPROPERTIES (
  "input.regex" = "^(?!#)([^ ]+)\\s+([^ ]+)\\s+([^ ]+)\\s+([^ ]+)\\s+([^ ]+)\\s+([^ ]+)\\s+([^ ]+)\\s+([^ ]+)\\s+([^ ]+)\\s+([^ ]+)\\s+[^\(]+[\(]([^\;]+).*\%20([^\/]+)[\/](.*)$"
) LOCATION '${INPUT}/cloudfront/data';

-- Total requests per operating system for a given time frame
INSERT OVERWRITE DIRECTORY '${OUTPUT}/os_requests/' SELECT os, COUNT(*) count FROM cloudfront_logs WHERE dateobject BETWEEN '2014-07-05' AND '2014-08-05' GROUP BY os;