Re: pg data backup from vps - Mailing list pgsql-general
From | Rory Campbell-Lange |
---|---|
Subject | Re: pg data backup from vps |
Date | |
Msg-id | 20171201204650.ayigjsypuw3gbfem@campbell-lange.net Whole thread Raw |
In response to | pg data backup from vps (support-tiger <support@tigernassau.com>) |
List | pgsql-general |
On 01/12/17, support-tiger (support@tigernassau.com) wrote: > To diversify risk, we would like to have a daily or weekly data backup > stored in another location besides the VPS service we are using - pg_dump is > great for the backup but transferring a growing db across the internet to a > local machine disk seems slow - how are others handling this with postgresql > ? Thks. Speed is related to size. If you have a problem with the speed of data transfer, you really might want to look at different ways of backing up. Here is one pretty straightforward strategy based on both pg_dump and streaming replication: 1. pg_dump use the -Fc flags for compression use the -j option to parallelize the dumps consider adding an audit schema and inserting a row just before the dump to make it easy to check the dump worked with pg_restore (you can grep pg_restore output) consider dumping twice a day and then rsync those files to nearby machines and offsite. 'nearby machines' is in case we have to restore quickly and it can take a lot of time to get big files back into production. 'offsite' because the place you have your database server might evaporate 2. streaming replication keep streaming changes to other servers https://www.postgresql.org/docs/current/static/warm-standby.html again you might want local and remote servers to the existing main database 'local' so if you have other servers using the database they can switch over to another server in the same space 'remote' so you have pretty up-to-date information on a remote server that you can use if the place where your main database server evaporates a cool thing is you can play with the WAL file replay mechanisms so that you can keep a slave roughly an hour behind the main database server, for example, which can be nice if someone just did something really bad in production. These two approaches serve different purposes. Generally having a live, up-to-date version of your database elsewhere based on streaming replication is the most valuable thing to have if your main database server goes down, and it can be brilliant having those other servers for read-only tests and - if you are careful about offlining them and making them masters - upgrade testing. But if a data bug or some other issue started affecting data over time, or you need to retrieve the state of something a month ago, you really might need dumps too. I'm sure others will have much more sage advice, but that is a starter for 10. Rory
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