Re: Terms and Definitions for Database Replication
От | Markus Schiltknecht |
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Тема | Re: Terms and Definitions for Database Replication |
Дата | |
Msg-id | 46E00683.6070807@bluegap.ch обсуждение исходный текст |
Ответ на | Re: Terms and Definitions for Database Replication (Robert Treat <xzilla@users.sourceforge.net>) |
Ответы |
Re: Terms and Definitions for Database Replication
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Список | pgsql-www |
Hi, Robert Treat wrote: > Link added. Thank you. > 1st paragraph -> "everything less hurts ACID principles and thus isn't > transparent to the application"; ACIDity doesn't control transparancy to > application, so I would remove the "thus" Hm.. a database which isn't ACID compliant isn't "transparent" to an application which expects an ACID compliant database. But you are right, not all applications require full ACIDity. > Single Master vs. MM -> I think you should mention that single master is > commonly reffered to as "master-slave". Good tip, thanks. > Also you should add an explicit > example of what MM is. Hm.. not sure, my primary goal is giving good definitions. Examples are good for understanding, but normally aren't general enough. I'll give it a try. > Eager vs. Lazy -> these terms are pretty nebulous in the literature, and your > definitions didnt resonate with me. But I don't disagree with it either :-) Yeah, they are nebulous. The main reason for this nifty distinction is, that the Postgres-R algorithm isn't synchronous in the common sense. But it replicates data *before* committing to avoid convergence (and conflicts). So it's eager, but asynchronous. > Also, I think you need to add a section on shared nothing vs. shared > everything. Ah... at a certain point during writing that doc, that came to my mind, but then it immediately disappeared. I only remembered that there was yet another pair of terms. Thank you very much for reminding me. > And maybe also explain vertical partitioning vs. horizontal > partitioning (aka sharding). Okay, I'll add that as well, makes sense. > While the first has pretty much nothing to do > with replication, Well, you could spread the vertically partitioned tables across multiple nodes, thus requiring distributed querying. There's almost nothing which doesn't touch replication. And most things only add complexity ;-) Thank you for your review. Regards Markus
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