POSETTE 2024 is a wrap! 💯 Thanks for joining the fun! Missed it? Watch all 42 talks online 🍿
POSETTE 2024 is a wrap! 💯 Thanks for joining the fun! Missed it? Watch all 42 talks online 🍿
Archive for September 2021
Made with from the Postgres team at Microsoft
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What’s new in the Citus 10.2 extension to PostgresDefinitive release notes blog post about Citus 10.2, which is ready for PostgreSQL 14. This post also covers new Citus 10.2 capabilities for sharding time series data and for using columnar storage in PostgreSQL. |
Shard rebalancing in the Citus 10.1 extension to PostgresAbout the new shard rebalancer capabilities added in Citus 10.1, including ways to monitor the progress of the rebalancer, as well as performance optimizations when Citus is used in combination with Postgres partitioning. Also, space checks. |
PostgreSQL 14 is out!PostgreSQL 14 improves high performance and distributed workloads with advances in connection concurrency, high-write workloads, query parallelism and logical replication. You’ll also find innovations on complex data types, including more convenient access for JSON and support for noncontiguous ranges of data. More detail in the release notes. |
Data Exposed: How to Use Citus to Shard Postgres, for Performance & ScaleIn this episode of Data Exposed, Claire shares how Citus uses the Postgres extension APIs to shard Postgres—and the best way to get started with Citus. |
Customer Story: ÖBB uses Azure Database for PostgreSQL to expand its business and improve time to marketIn this compelling technical story, you’ll learn how ÖBB, Austria’s largest mobility service provider, decomposed their TicketShop app to 50 containerized microservices and migrated 11TB of data from Oracle to Azure Database for PostgreSQL – Flexible Server. ÖBB is evaluating Hyperscale (Citus) to provide better scale as ÖBB’s applications grow. |
Useful Diagnostic QueriesRecently updated with more useful queries this doc includes diagnostic queries for: finding which shard contains data for a specific tenant, finding the distribution column for a table, detecting locks, querying the size of your shards or distributed tables—and so much more. |
Logs in Azure Database for PostgreSQL - Hyperscale (Citus)PostgreSQL database server logs are available for every node of a Hyperscale (Citus) server group. You can ship logs to a storage server or to an analytics service. The logs can be used to identify, troubleshoot, and repair configuration errors and suboptimal performance. |
Fan of Citus? Star us on GitHubIf you’re an advocate for Citus and how Citus helps developers scale out performance, give us a star. And if you’re new, check out the README.md for an overview…and then give us a star. |
Postgres: Boundless `text` and Back AgainBrandur shares why, through experience, he’s returned to using constraints on text fields. While boundless text might be freeing, some problems can arise. |
Use PGLoader to migrate to CitusWant to migrate a PostgreSQL database to Citus? This doc explains how you can use PGLoader to implement continuous migration from your PostgreSQL database to Citus. |
ICYMI: What’s new in the Citus 10.1 extension to PostgresClaire explores the operational, performance, and UX improvements in Citus to the shard rebalancer, multi-row INSERTs, adaptive executor, inline VALUES in CTEs, how Citus works with Postgres native partitioning, and more—essentially release notes for the Citus 10.1 extension to Postgres. |
You May Also Like |
Jeff Davis: Postgres person of the week PostgreSQL Committer, Family Man |
Principles of Sharding for Relational Databases by Ozgun Erdogan on the Citus Blog |
What it means to be a Postgres extension by Jason Petersen on the Citus Blog |
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Events & Conference Talks |
Postgres Build 2021 CFP open through Oct 4 CFP | Postgres Build 2021| Nov 30-Dec 1, 2021 |
Tweet | PGCon 2022 | May 24-27, 2022 |
PGConf NYC returns in December PGConf NYC | Dec 2-3, 2021 | Community Conference |
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Is Citus right for you? |
Ways to get started: download Citus, check out the inspired Citus documentation, visit our open source repo on GitHub, or watch Marco’s SIGMOD demo using HammerDB to measure the performance of Hyperscale (Citus) in Azure Database for PostgreSQL. |
A monthly email with the latest posts about Postgres & the Citus database extension
Made with from the Postgres team at Microsoft
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