Comments on: Mike Stonebraker explains column-store data compression

By: 列数据库特点 | Alex的个人Blog

列数据库特点 | Alex的个人Blog — Mon, 07 Nov 2011 14:32:31 +0000

[...] http://www.dbms2.com/2007/03/24/mike-stonebraker-explains-column-store-data-compression/ [...]

By: Huh?

Huh? — Tue, 12 Apr 2011 15:31:24 +0000

You talk about efficent storage, but it sounds like a recipie for disaster if you have to recover from a failure. Of course, things like a haywire hardware never happen, and things are always properly written and read from disk… yikes. Storage is a commodity. Use it to build in fault tollerance.

By: Infology.Ru » Blog Archive » Сжатие данных в СУБД выходит на первый план

Sun, 05 Oct 2008 21:08:43 +0000

[...] клиентам. Наиболее примечательной, вероятно, является короткая статья, которую Майк Стоунбрейкер (Mike Stonebraker) …, о тех преимуществах в области компрессии, которыми [...]

By: Database compression coming to the fore | DBMS2 -- DataBase Management System Services

Fri, 08 Aug 2008 04:57:47 +0000

[...] compression, which can be a major part of their value proposition. Most notable, perhaps, is a short paper Mike Stonebraker wrote for this blog — before he and his fellow researchers started their own blog — on column-stores’ [...]

By: Mark

Mark — Sun, 25 Mar 2007 11:06:23 +0000

Teradata is a row store, yet it compresses by column domain (dictionary compression) and does not do block decompression on access. Access to the field is more efficient with compression because the CPU savings for IO is greater than the indirection to the value dictionary. There is a slight CPU overhead on the update side to search the value dictionary for the index to put in the row header, but this is minor in comparison to the overall win in space savings and scan rate.

By: DBMS2 — DataBase Management System Services»Blog Archive » Will database compression change the hardware game?

Sat, 24 Mar 2007 08:43:36 +0000

[...] I’ve recently made a lot of posts about database compression. 3X or more compression is rapidly becoming standard; 5X+ is coming soon as processor power increases; 10X or more is not unrealistic. True, this applies mainly to data warehouses, but that’s where the big database growth is happening. And new kinds of data — geospatial, telemetry, document, video, whatever — are highly compressible as well. [...]

By: DBMS2 — DataBase Management System Services»Blog Archive » Mike Stonebraker on data compression — comments

Sat, 24 Mar 2007 05:19:37 +0000

[...] In my opinion, the key part of Mike Stonebraker’s fascinating note on data compression was (emphasis mine): [...]