"Everything after "Basically" is misleading and inaccurate.
The conclusions here are not logical: The existence of some restrictions does not imply "Transactions are a lie", since that makes us think ALL transaction semantics are suspended, which is very far from the case.
There are good reasons for the design and restrictions in the BDR design, offering performance about x100 what is possible with eager consensus. Real world pragmatism, with production tools to ensure no inconsistencies exist in the database. The BDR tools allow you to trap and handle run-time issues, so it is not a theoretical debate or a mysterious issue, just a practical task for application authors to check their apps work.
"Consistent reads are a lie". Reads from multiple nodes at the same time are not guaranteed to be consistent - but this is multi-master - why would you read two nodes when all the data is on one node? The whole point is to put the data you need near the users who need it, so this is designed to avoid multiple node reads.
I could go on, and will do in a longer post elsewhere, but the main purpose of my retort is to show that the conclusions drawn here are not valid. Let's see how the hacker news method of consensus decides what is correct in this case.
Postgres-BDR works very well for its intended business use case, which is geographically distributed multiple master database. Master-slave replication is not comparable cos there is only one master. You should use as few masters as your business case requires, so it is possible you don't need BDR at all. The underlying technology is roughly the same between master-slave and master-master, so that is not a big distinction and not the key point.
Postgres-BDR is designed to solve a common problem: access to a database from users all around the world. In cases where you have a single master and multiple standbys then all write transactions must be routed globally to the same location, adding 100s of milliseconds latency and in many cases making applications unusable.
Postgres-BDR offers the opportunity to make those writes to multiple copies of the database in different locations, significantly reducing the latency for users.
What BDR doesn't solve is what you do if all your users want to update the same data at the same time. But that type of application is just not scalable. If you run such an application on any database that gives you perfect consistency and lots of other shiny buzzwords, all you get is a really, really slow application, just like you had in the first place. But it will tick all the keywords.
All distributed systems require you to understand the business case and the trade-offs required to make it work. This is not fancy technology to use because you think its cool, its for use where it is useful and important to do so. BDR gives you the tools to know whether your application will work in a distributed manner and to keep it working in production without fear.
I could'n agree more. Be _very_ careful with this illusion. Multi-master replication implementation like this makes sense for very few use cases and even then the development team better know what the hell are they doing or a lot of unwanted/unaccounted things will show up in production
The conclusions here are not logical: The existence of some restrictions does not imply "Transactions are a lie", since that makes us think ALL transaction semantics are suspended, which is very far from the case.
There are good reasons for the design and restrictions in the BDR design, offering performance about x100 what is possible with eager consensus. Real world pragmatism, with production tools to ensure no inconsistencies exist in the database. The BDR tools allow you to trap and handle run-time issues, so it is not a theoretical debate or a mysterious issue, just a practical task for application authors to check their apps work.
"Consistent reads are a lie". Reads from multiple nodes at the same time are not guaranteed to be consistent - but this is multi-master - why would you read two nodes when all the data is on one node? The whole point is to put the data you need near the users who need it, so this is designed to avoid multiple node reads.
I could go on, and will do in a longer post elsewhere, but the main purpose of my retort is to show that the conclusions drawn here are not valid. Let's see how the hacker news method of consensus decides what is correct in this case.