To dig a bit deeper into zheap and PostgreSQL storage technology in general I decided to provide some more empirical information about space consumption. As stated in my previous blog post about zheap is more efficient in terms of storage consumption. The reasons are: The tuple header is much smaller Alignment has been improved The […]

In PostgreSQL table bloat has been a primary concern since the original MVCC model was conceived. Therefore we have decided to do a series of blog posts discussing this issue in more detail. What is table bloat in the first place? Table bloat means that a table and/or indexes are growing in size even if […]

© Laurenz Albe 2019   Many people know that explicit table locks with LOCK TABLE are bad style and usually a consequence of bad design. The main reason is that they hamper concurrency and hence performance. Through a recent support case I learned that there are even worse effects of explicit table locks. Table locks […]

Looking at the type of PostgreSQL support requests, we have received recently, it is striking to see, how many of them are basically related to autovacuum and UPDATE in particular. Compared to other databases such as Oracle, PostgreSQL’s way of handling UPDATE and storage in general is quite different. Therefore people moving from Oracle to […]

Why VACUUM? Whenever rows in a PostgreSQL table are updated or deleted, dead rows are left behind. VACUUM gets rid of them so that the space can be reused. If a table doesn’t get vacuumed, it will get bloated, which wastes disk space and slows down sequential table scans (and – to a smaller extent […]

I recently had an interesting support case that shows how the cause of a problem can sometimes be where you would least suspect it. About table bloat After an UPDATE or DELETE, PostgreSQL keeps old versions of a table row around. This way, concurrent sessions that want to read the row don’t have to wait. […]