https://github.com/balshor/gdata-storagehandler

A Hive StorageHandler that uses a Google Spreadsheet as a backend.
https://github.com/balshor/gdata-storagehandler

Last synced: about 1 month ago
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A Hive StorageHandler that uses a Google Spreadsheet as a backend.

• Host: GitHub
• URL: https://github.com/balshor/gdata-storagehandler
• Owner: balshor
• License: other
• Created: 2011-08-19T02:40:36.000Z (almost 13 years ago)
• Default Branch: master
• Last Pushed: 2011-08-19T18:25:00.000Z (almost 13 years ago)
• Last Synced: 2024-02-15T04:35:07.239Z (4 months ago)
• Language: Java
• Homepage:
• Size: 8.6 MB
• Stars: 14
• Watchers: 3
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.markdown
  • License: LICENSE

Lists

• awesome-hive - Google Spreadsheet

README

        
gdata-storagehandler

This project implements a HiveStorageHandler that allows Hive to read and write data from a Google spreadsheet.

Although Hive/Hadoop are geared towards processing big data, this storage handler implementation is geared towards 

"Small Data".  The original use case was for writing around a dozen lines of data containing the final output of a 

report into a Google spreadsheet.

Because of the small data orientation, it is recommended to read or write data from tables backed by this StorageHandler

from only a single mapper or reducer.  Using multiple mappers or reducers can result in duplicate data being read or

written to the spreadsheet.

Some other notes:

* The spreadsheet must be writable by the specified user.

* We use 2-legged OAuth.  See http://code.google.com/apis/gdata/docs/auth/oauth.html#2LeggedOAuth and 

  http://www.google.com/support/a/bin/answer.py?hl=en&answer=162105. 

* The spreadsheet must exist and have the correct headers.  Any Hive columns that do not map to a column header will not

  be written to the spreadsheet.  

* All writes are appends.

Sample usage:

    add jar gdata-storagehandler.jar ;

    create external table output(day string, cnt int, source_class string, source_method string, thrown_class string)

    stored by 'com.bizo.hive.gdata.GDataStorageHandler'

    with serdeproperties (

      "gdata.user" = "[email protected]",

      "gdata.consumer.key" = "bizo.com",

      "gdata.consumer.secret" = "...",

      "gdata.spreadsheet.name" = "Daily Exception Summary",

      "gdata.worksheet.name" = "First Worksheet",

      "gdata.columns.mapping" = "day,count,class,method,thrown"

    )

    ;

If you are using Amazon's Elastic Mapreduce, you can add the jar file as follows:

    add jar s3://com-bizo-public/hive/storagehandler/gdata-storagehandler-0.1.jar ;