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Citus 10.1 is out! In this latest release to the Citus extension to Postgres, our team focused on improving your user experience. Some of the 10.1 fixes are operational improvements—such as with the shard rebalancer, or with citus_update_node. Some are performance improvements—such as for multi-row INSERTs or with citus_shards. And some are fixes you’ll appreciate if you use Citus with lots of Postgres partitions.
Understanding query performance patterns is essentially the foundation for query performance tuning. It, in many ways, dictates how a database cluster evolves. And then there are obviously direct and indirect cost connotations as well.
Hardening PostgreSQL has become ever more important. Security is king these days and people want to know how to make PostgreSQL safe. Some of us might still remember what happened to MongoDB in recent years and we certainly want to avoid similar security problems in the PostgreSQL world.
The following discussion of locks in RAM finishes this series of articles. We will consider spinlocks, lightweight locks and buffer pins, as well as events monitoring tools and sampling.
Over the past 5 years, new Postgres versions have been getting better and better at running operations in parallel.
This is especially useful for analytical queries, which can sometimes speed up massively by fully utilising a large server (with lots of cores).
However, for fast, transactional queries, the overhead of starting and managing processes is almost always undesirable. As such, the default settings in Postgres are on the conservative side.
pgbackrest can work in asynchronous way in order to improve the resource usage.
There are only two, but I hope important, features.
First feature is "progressive data load". Before this release, pspg loaded all rows before first print to screen. Now, with progressive data load, only 500 rows are loaded, these rows are printed to screen, and repeatedly next 2000 rows are loaded. Although the load should not be complete, almost all pspg commands can be used.
Earlier this year, Christos Christoudias – an Engineer from Instacart – published an article on Medium about Creating a Logical Replica from a Snapshot in RDS Postgres. Recently I’ve seen discussions about this article a few times, in a few different places. Is it safe? Is it ok to do this?
As North America starts to reopen, the PostgresWorld webinar series continues to provide exceptional free content to the community. See below for the August webinars.
I was working on the PostgreSQL storage related features recently, and I found PostgreSQL has designed an amazing storage addressing mechanism, i.e. Buffer Tag. In this blog, I want to share with you my understanding about the Buffer Tag and some potential usage of it.
One theme of the 3.2 release is new analytical functionality in the raster module, and access to cloud-based rasters via the "out-db" option for rasters. Let's explore two new functions and exercise cloud raster support at the same time.
zheap has been designed as a new storage engine to handle UPDATE in PostgreSQL more efficiently. A lot has happened since my last report on this important topic, and I thought it would make sense to give readers a bit of a status update – to see how things are going, and what the current status is.
How to see the available and/or installed extensions?PostgreSQL Extension Catalogs
There are three main catalogs that can be useful when dealing with extensions: