Sorry for my mistake... > If you mistake that standard sql is all of A-DBMS capacity, > I think you don't want to studies about database structure, access > algorithms, philosophies,.., etc of A-DBMS. > > Then, Can i make you use the A-DBMS's 100% Full capacity by force? > > Or.... > > Let's assume the A-DBMS didn't provide standard sql. > Are you want to use the A-DBMS?
>> Do you want to use the A-DBMS? > > Ok.. > If you want to use the A-DBMS, you already didn't thought the sql isn't all > of A-DBMS. >> If you want to use the A-DBMS, you already thought the sql isn't all of >> A-DBMS. > So, conclusion? > The more affluent the hbase shell, the use of hbase will be growing very > rapidly. ------------------------------ B. Regards, Edward yoon @ NHN, corp. Home : http://www.udanax.org > From: [EMAIL PROTECTED] > To: hadoop-dev@lucene.apache.org > Subject: RE: [jira] Commented: (HADOOP-2006) Aggregate Functions in select > statement > Date: Thu, 6 Dec 2007 01:10:14 +0000 > > >>> it will encourage people to think that the shell is a good way to interact >>> with HBase in general... > > I think this is a key point. :) > > The Hbase Shell aim is to improve the work's efficiency, without research of > specified knowledge. > I'll makes an accessory for database access methods on Hbase. > Also, i'm thinking about Matrix operations on Hbase. > > But, ... Hbase Shell just a one of applications on Hbase. > > ... > Let's think. > > If you mistake that standard sql is all of A-DBMS capacity, > I think you don't want to studies about database structure, access > algorithms, philosophies,.., etc of A-DBMS. > > Then, Can i make you use the A-DBMS's 100% Full capacity by force? > > Or.... > > Let's assume the A-DBMS didn't provide standard sql. > Are you want to use the A-DBMS? > > Ok.. > If you want to use the A-DBMS, you already didn't thought the sql isn't all > of A-DBMS. > > So, conclusion? > The more affluent the hbase shell, the use of hbase will be growing very > rapidly. > > > ------------------------------ > > B. Regards, > > Edward yoon @ NHN, corp. > Home : http://www.udanax.org > > >> From: [EMAIL PROTECTED] >> Subject: Re: [jira] Commented: (HADOOP-2006) Aggregate Functions in select >> statement >> Date: Wed, 5 Dec 2007 15:50:50 -0800 >> To: hadoop-dev@lucene.apache.org >> >> If you have a table with something like a billion rows, and do an >> aggregate function on the table from the shell, you will end up >> reading all billion rows through a single machine, essentially >> aggregating the entire dataset locally. This defeats the purpose of >> having a massively distributed database like HBase. To do this more >> efficiently, you'd ideally kick of a Map Reduce job that can perform >> the various aggregation function on the dataset in parallel, >> harnessing the power of the distributed dataset, and then returning >> the results to a central location once they are calculated. >> >> I think putting this option into the shell is risky, because it will >> encourage people to think that the shell is a good way to interact >> with HBase in general, which it isn't. We want people to understand >> HBase is best consumed in parallel and discourage solutions that >> aggregate access through a single point. As such, we shouldn't build >> features that allow people to inadvertently use the wrong access >> patterns. >> >> On Dec 5, 2007, at 3:38 PM, Edward Yoon (JIRA) wrote: >> >>> >>> [ https://issues.apache.org/jira/browse/HADOOP-2006? >>> page=com.atlassian.jira.plugin.system.issuetabpanels:comment- >>> tabpanel#action_12548879 ] >>> >>> Edward Yoon commented on HADOOP-2006: >>> ------------------------------------- >>> >>> I don't understand your comment. >>> Please more explanation for me. >>> >>>> Aggregate Functions in select statement >>>> --------------------------------------- >>>> >>>> Key: HADOOP-2006 >>>> URL: https://issues.apache.org/jira/browse/ >>>> HADOOP-2006 >>>> Project: Hadoop >>>> Issue Type: Sub-task >>>> Components: contrib/hbase >>>> Affects Versions: 0.14.1 >>>> Reporter: Edward Yoon >>>> Assignee: Edward Yoon >>>> Priority: Minor >>>> Fix For: 0.16.0 >>>> >>>> >>>> Aggregation functions on collections of data values: average, >>>> minimum, maximum, sum, count. >>>> Group rows by value of an columnfamily and apply aggregate >>>> function independently to each group of rows. >>>> * ƒ ~function_list~ (Relation) >>>> {code} >>>> select producer, avg(year) from movieLog_table group by producer >>>> {code} >>> >>> -- >>> This message is automatically generated by JIRA. >>> - >>> You can reply to this email to add a comment to the issue online. >>> >> > > _________________________________________________________________ > Put your friends on the big screen with Windows Vista® + Windows Live™. > http://www.microsoft.com/windows/shop/specialoffers.mspx?ocid=TXT_TAGLM_CPC_MediaCtr_bigscreen_102007 _________________________________________________________________ You keep typing, we keep giving. Download Messenger and join the i’m Initiative now. http://im.live.com/messenger/im/home/?source=TAGLM
