Re: replication docs: split single vs. multi-master - Mailing list pgsql-patches
From | Markus Schiltknecht |
---|---|
Subject | Re: replication docs: split single vs. multi-master |
Date | |
Msg-id | 455CCE3B.4080809@bluegap.ch Whole thread Raw |
In response to | Re: replication docs: split single vs. multi-master (Bruce Momjian <bruce@momjian.us>) |
List | pgsql-patches |
Hello Bruce, Bruce Momjian wrote: > Actually the patch moves down data paritioning. I am confused. Uh.. yeah, sorry, that's what I meant. > I thought a long time about this. I have always liked splitting the > solutions up into single and multi-master, but in doing this > documentation section, I realized that the split isn't all that helpful, > and can be confusing. Not mentioning that categorization doesn't help in clearing the confusion. Just look around, most people use these terms. They're used by MySQL and Oracle. Even Microsofts ActiveDirectory seems to have a multi-master operation mode. > For example, Slony is clearly single-master, Agreed. > but > what about data partitioning? That is multi-master, in that there is > more than one master, but only one master per data set. Data Partitioning is a way to work around the trouble of database replication in the application layer. Instead of trying to categorize it like a replication algorithm, we should explain that working around the trouble may be worthwhile in many cases. > And for > multi-master, Oracle RAC is clearly multi master, Yes. > and I can see pgpool > as multi-master, or as several single-master systems, in that they > operate independently. Several single-master systems? C'mon! Pgpool simply implements the most simplistic form of multi-master replication. Just because you can access the single databases inside the cluster doesn't make it less Multi-Master, does it? > After much thought, it seems that putting things > into single/multi-master categories just adds more confusion, because > several solutions just aren't clear Agreed, I'm not saying you must categorize all solutions you describe. But please do categorize the ones which can be (and have so often been) categorized. > or fall into neither, e.g. Shared Disk Failover. Oh, yes, this reminds me of Brad Nicholson's suggestion in [1] to add a warning "about the risk of having two postmaster come up...". What about other means of sharing disks or filesystems? NBDs or even worse: NFS? > Another issue is that you mentioned heavly locking for > multi-master, when in fact pgpool doesn't do any special inter-server > locking, so it just doesn't apply. Sure it does apply, in the sense that *every* single lock is granted and released on *every* node. The total amount of locks scales linearly with the amount of nodes in the cluster. > In summary, it just seemed clearer to talk about each item and how it > works, rather than try to categorize them. The categorization just > seems to do more harm than good. > > Of course, I might be totally wrong, and am still looking for feedback, > but these are my current thoughts. Feedback? AFAICT, the categorization in Single- and Multi-Master replication is very common. I think that's partly because it's focused on the solution. One can ask: do I want to write on all nodes or is a failover solution sufficient? Or can I probably get away with a read-only Slave? It's a categorization the user does, often before having a glimpse about how complicated database replication really is. Thus, IMO, it would make sense to help the user and allow him to quickly find answers. (And we can still tell them that it's not easy or even possible to categorize all the solutions.) > I didn't mention distributed shared memory as a separate item because I > felt it was an implementation detail of clustering, rather than > something separate. I kept two-phase in the cluster item for the same > reason. Why is pgpool not an implementation detail of clustering, then? > Current version at: > > http://momjian.us/main/writings/pgsql/sgml/failover.html That somehow doesn't work for me: --- momjian.us ping statistics --- 15 packets transmitted, 0 received, 100% packet loss, time 14011ms Just my 2 cents, in the hope to be of help. Regards Markus [1]: Brad Nicholson's suggestion: http://archives.postgresql.org/pgsql-admin/2006-11/msg00154.php
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