Apache Doris’ Post

You might have come across when a query is underperforming and you want to validate if adding a specific new index will improve the performance or not. However adding a new index requires resources, CPU, storage and can take time to be created if the table is large. Postgres has an extension HypoPG using which you can create virtual indexes without using any resource; this index does not exist. It is useful to know if a specific index would improve the performance of your query. Check this to know more about HypoPG: https://lnkd.in/efXjPewN Check this to know more about all Postgres extensions : https://pgxn.org/ #databases #postgres

🚀 A cloud-native Apache Spark® solution on Kubernetes with 10 years of support, compliance, and security maintenance, Charmed Spark® is now available! Enterprise data engineers want Apache Spark® with the ease and long-term security commitment of Ubuntu, and Charmed Spark is the first of many Canonical open-source data solutions designed for reliability and multi-cloud operations. Learn more about Charmed Spark: https://lnkd.in/gE55PBas #Spark #ApacheSpark #Kubernetes #BigData

A helpful post on how to reduce CPU usage in #postgresql and #cockroachdb Enjoy. https://lnkd.in/eVTqm_2d

Check this out: Bruce Momjian: Specialized CPU Instructions Did you know that Postgres has been taking full advantage of highly specialized CPU instructions for decades? Such instructions help ensure good performance and high concurrency for database workloads. Recently, Postgres 16 has been using single instruction, multiple data

Postgres with performance enhancements in V16 ✨ 🚀 - performance of the vacuum process has been improved, eliminating the need for full-table freezes - support for CPU acceleration using SIMD in both x86 and ARM architectures - starts support for direct I/O https://lnkd.in/dS2d8eUC #postgresql #rdbms #bigdata

Attention CIOs and IT Directors: Are you running MongoDB on x86? Is scalability an issue? Consider LinuxONE for data center consolidation, better performance and scalability! Direct message me for more information today. •Better Performance: Get 1.8x more throughput per core on an IBM LinuxONE Emperor 4 LPAR versus a compared x86 platform. •Better Scalability: LinuxONE, with its scale-up architecture and the ability to allocate resources, allows you to scale up a single MongoDB instance to 17 TB in a single system without sharding. • •MongoDB Consolidation: Run 1344 concurrent databases executing a total of 377 billion transactions per day on a single IBM LinuxONE Emperor III server. #mongodb #linuxONE #security #scalability

Check out our #Azure #Database for #MySQL #Troubleshooting Series on YouTube, which currently includes eight videos with tips and tricks for addressing connectivity issues, high CPU utilization, low memory issues, query #performance, and more! Be sure to take advantage of this valuable information! #AzureDBforMySQL #opensource #microsoft #data #flexibleserver #video https://msft.it/6045irRhT

Postgres as a Vector Database: Part 3, Going Distributed A single embedding generated by OpenAI needs approximately 6KB of memory/disk space. If you store 10 million embeddings, then get ready to allocate 57 GB of storage. If your table stores 1 billion records, then we’re talking about 5 TB for embeddings alone. How can you scale Postgres when storage, memory, and CPUs become scarce resources? Should we migrate to a pure distributed vector database? No! Even though Postgres is designed for single-server deployments, its rich ecosystem offers solutions for making Postgres truly distributed: https://lnkd.in/gycjSk5x

Are you debugging a Neutron ML2/OVN deployment? Dump the databases (Neutron and OVN) and build three easy to deploy containers running them locally in your laptop. You'll be able to use mysql, ovn-nbctl and ovn-sbctl, and find any discrepancy between the Neutron and the OVN databases. Once finished you can just delete the containers leaving no leftovers. https://lnkd.in/dSqrXSZq

Our favorite content for this week! Reduce SQL Server Blocking with READ_COMMITTED_SNAPSHOT by Jared Westover https://buff.ly/4c0Palr Terraform Elastic Jobs by Josephine (Branch) Bush https://buff.ly/4c0FDKU What Causes Locking and Blocking and When to Take Action by Amy Abel https://buff.ly/3WF9cxt Strategies for Optimizing Version Ghost Record Cleanup in SQL Server by Stephen Planck https://buff.ly/3YfZh2B parallelism - Tale of two servers. What could be limiting queries to running on two cores? https://buff.ly/4bZVlWH More info: https://buff.ly/3WkvWRS #ladataplatform #sqlserver #terraform #elasticjobs #lockingandblocking #ghostrecordcleanup #parallelism