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cary huang: Vancouver Postgres Group Meetup Event – Kubernetes Best Practices for Distributed SQL databases
Date: October 24, 2019
Guest Speaker: Andrew Nelson, Developer Advocate from YugaByteAbout Vancouver Postgres User Meetup Group
Vancouver Postgres is a Postgres user meetup group based in Vancouver, Canada. It specializes in building Postgres users to the related ecosystem including but not limited to technologies such as RDS Postgres, Aurora for Postgres, Google Postgres, PostgreSQL.Org Postgres, Greenplum, Timescale and ZomboDB.
A few days ago we added the option to suggest you changes to your PATH to prevent version clashes.pgenv: adjust your PATH!
In the following you can find another quick video that demonstrate how easy it is to get, almost automtically, a PostgreSQL 12 instance up and running on your local machine using pgenv.
To use these, copy the files into your PostgreSQL 12 Windows 64-bit install folders in same named folders and then run CREATE EXTENSION as usual in the databases of your choice. More details in the packaged README.txt
When you build replication in PostgreSQL using Streaming replication, you cannot perform writes to a standby node; only reads. This way, you could offload reads or reporting queries to standby servers and send writes to master. Additionally, starting from PostgreSQL 10,
Registration for pgDay Paris 2020 is now open.
We have some new ticket types this year, including a very cheap BLIND ticket that is only sold until the schedule is published. If you know you are coming to the conference no matter what, hurry up and grab one of these!
We also have cheap tickets this year for students and the unemployed. Valid proof is required.
© Laurenz Albe 2019
“Durability”, the D of ACID, demands that a committed database transaction remains committed, no matter what. For normal outages like a power failure, this is guaranteed by the transaction log (WAL). However, if we want to guarantee durability even in the face of more catastrophic outages that destroy the WAL, we need more advanced methods.
This article discusses how to use pg_receivewal to maintain durability even under dire circumstances.
The call for papers for pgDay Paris 2020 is now open. Submit your proposals for interesting talks about all things PostgreSQL, and join us in March!
The call for papers for Nordic PGDay 2020 in Helsinki, Finland, is now open. Submit your proposals for interesting talks about all things PostgreSQL, and join us in March.
Just like two years ago, the conference is held in cooperation with pgDay.paris which is held two days later. So if you are interested in both, you can submit the same proposal to both conferences at once!
PostGIS 3.0.0 is planned for release early next week. In the meantime you will find PostGIS 3.0.0rc1 or rc2 available via yum.postgresql.org, apt.postgresql.org, and EDB Windows 64-bit stackbuilder for PostgreSQL 12.Continue reading "PostGIS 3.0.0 coming soon - Try 3.0.0rc2 at a package repo near you"
Let's start with how things roughly work.
Postgres smallest IO unit is a disk block that is 8kb (by default). Each time postgres needs a new block it will fetch it from the disks and load it to an area in RAM called shared_buffers.
When postgres needs to write, it does it in the same manner:
All modern database system supports a Query Optimizer module to automatically identify the most efficient strategy for executing the SQL queries. The efficient strategy is called “Plan” and it is measured in terms of cost which is directly proportional to “Query Execution/Response Time”. The plan is represented in the form of a tree output from the Query Optimizer. The plan tree nodes can be majorly divided into the following 3 categories:
PostgreSQL uses shared_buffers to cache blocks in memory. The idea is to reduce
disk I/O and to speed up the database in the most efficient way
possible. During normal operations your database cache will be pretty useful and
ensure good response times. However, what happens if your database instance is
restarted – for whatever reason? Your PostgreSQL database performance will suffer
until your I/O caches have filled up again. This takes some time and it can
be pretty damaging to your query response times.