It would be interesting to see a cloudbase vs hive
benchmark/comparison. Has anyone ever ran the two side by side?

2009/6/21 imcaptor <imcap...@gmail.com>:
> When you use cloudbase, you can create different table for different
> daily files.
>
> For example, your directory will like this.
>
> logs
>      /200905
>                 /20090501.log.gz
>                 /20090502.log.gz
>      /200906
>                 /20090601.log.gz
>                 /20090602.log.gz
>
> You will create 7 tables, four for daily, two for month, one for all.
>
> 2009/6/20 Edisonxp <ediso...@gmail.com>:
>> I've used cloudbase for several months,since version 1.1 .it's a good
>> thing,your team did a great job.
>> These days, I'm annoying with a problem:with the increasing of data,the my
>> daily queries become more and more slow.i hope that cloudbase should have a
>> 'partition' feature with the creation of table.I used to try 'index', but it
>> seems nothing changed.
>>
>> 发自我的 iPhone
>>
>> 在 2009-6-20,3:19,Leo Dagum <leo_da...@yahoo.com> 写到:
>>
>>> CloudBase is a data warehouse system for Terabyte & Petabyte scale
>>> analytics. It is built on top of hadoop. It allows you
>>> to query flat files using ANSI SQL.
>>>
>>>
>>> We have released 1.3.1 version of CloudBase on sourceforge-
>>> https://sourceforge.net/projects/cloudbase
>>>
>>> Please give it a try and send us your feedback.
>>>
>>> You can follow CloudBase related discussion in the google mail list:
>>>
>>> cloudbase-us...@googlegroups.com
>>>
>>>
>>>
>>> Release notes -
>>>
>>> New Features:
>>> * CREATE CSV tables - One can create tables on top of data in CSV
>>> (Comma Separated Values) format and query them using SQL. Current
>>> implementation doesn't accept CSV records which span multiple lines.
>>> Data may not be processed correctly if a field contains embedded line-
>>> breaks. Please visit http://cloudbase.sourceforge.net/index.html#userDoc
>>> for detailed specification of the CSV format.
>>>
>>> Bug fixes:
>>> * Aggregate function 'AVG' returns the same value as 'SUM' function
>>> * If a query has multiple aliases, only the last alias works
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>>
>

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