Vertica Blog

OpenText Vertica 23.3 – the Smarter Data Lakehouse

Posted July 31, 2023 by Paige Roberts, Vertica Open Source Relations Manager

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Unveiling the Most Recent Version of the Vertica Grafana Data Source Plugin

Amrita Akshay, Information Developer
October 12, 2023

With over 380K downloads, the Vertica Grafana Data Source plugin just got an upgrade! The plugin was migrated from the deprecated older Grafana toolkit to align with Grafana's new Create-Plugin tool. This accelerates the plugin development with their modern build set up that requires no additional configuration. Additionally, the Vertica SQL Go driver received an...
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Setting Session Authorization to Troubleshoot

Sruthi Anumula, Senior Database Support Engineer
September 29, 2023

There are possible scenarios in which a dbadmin would want to run queries as another user to troubleshoot or test. You can use SET SESSION AUTHORIZATION to impersonate another user and run queries. Let's understand this with an example. Here we create a user named test, resource pool named userpool, and make this a default...
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Diving into Disk Usage

Bryan Herger, Vertica Big Data Solution Architect at Micro Focus
August 6, 2019

Would you like to know how much disk space Vertica is using as it runs? This could be useful for capacity planning, monitoring trends, or debugging. Here are some ways to follow disk usage trends and also look at temporary events like Tuple Mover and Join Spills: Helpful Link: https://www.vertica.com/docs/latest/HTML/Content/Authoring/AdministratorsGuide/ManageDiskSpace/ManagingDiskSpace.htm Have fun!
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Find and Fix Issues from Vertica Query Events

Bryan Herger, Vertica Big Data Solution Architect at Micro Focus
August 5, 2019

Vertica offers tools like the Workload Analyzer in Management Console (MC) to tune up a Vertica Cluster, but there's a simple way to find and fix issues that Vertica observes and records if you aren't using MC. The query_events table captures optimization issues and suggests fixes. Let's take a look at my demo cluster, checking...
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Evaluating Classifier Models in Vertica

Arash Fard, Senior Software Engineer at Vertica
August 2, 2019

Co-authored by Elizabeth Michaud Vertica provides an out-of-the box machine learning toolset that covers a complete data science workflow. The toolset includes several distributed functions for evaluating both classifier and regressor machine learning models. The goal of this blog post is to demonstrate how you can use the built-in functions for evaluating the prediction performance...

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Find the Busiest Hour in the Day for I/O

James Knicely, Vertica Field Chief Technologist
August 2, 2019

The IO_USAGE system table provides disk I/O bandwidth usage history for the system. You can query it to find out interesting IO statistics like which hour of the day has the most IO usage on your Vertica cluster! Helpful Link: https://www.vertica.com/docs/latest/HTML/Content/Authoring/SQLReferenceManual/SystemTables/MONITOR/IO_USAGE.htm Have fun!
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Theoretical Maximum Number of Rows Per Table Per Node

James Knicely, Vertica Field Chief Technologist
August 1, 2019

The Vertica Table size limit is documented to be 2^64 rows per node. Just how big is that number? That’s 18+ Sextillion rows! I’ve been tracking in a Vertica table, the number of text messages my daughter has sent/received since she first got a cell phone at the age of twelve. Now twelve years later,...
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Vertica Test Results for MDS Security Patches

Gary Gray, Principal Information Developer
August 1, 2019

Several customers have asked us how Intel's recent MDS vulnerability patches will impact the performance of their Vertica databases. Vertica is known for its performance. So, anything that may impact its speed is a major concern for both us and our customers. Vertica engineers have finished a round of testing the OS and microcode fixes...

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Streaming Data in One Line!

Bryan Herger, Vertica Big Data Solution Architect at Micro Focus
July 31, 2019

Remember that game show, "Name That Tune", where contestants were challenged to name a tune in as few notes as possible? Today's tip converts that for Vertica Big Data, showing how we can ingest streaming data in just one line! A simple way to stream data is to write CSV rows to a network socket....
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Delivering personalized retail promotions using AI and predictive analytics

Ben Smith, Senior Product Marketing Manager
July 31, 2019

SO1.ai helps retailers leverage customer basket and loyalty data to deliver smart, automated promotional decisions at scale across millions of customers. The solution is fully automated and designed to fit a retailer’s specific business goals (i.e. revenues, profit optimization, customer satisfaction or brand sales). Want to learn more about the S01.ai solution?
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Vertica Ranked #1 Cloud Data Warehouse

Jeff Healey, Vice President of Marketing, Vertica Product Group in Micro Focus
July 30, 2019

July has been quite an exciting month for Vertica. Our three keynote presenters are now confirmed for the Vertica Big Data Conference 2020 – Vertica founder and Turing Award winner Dr. Michael Stonebraker, kingpin of the famous MIT blackjack team Jeffrey Ma, and renowned analyst Ray Wang of Constellation Research. And, in addition to receiving...
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Watch those Delete Vectors!

Bryan Herger, Vertica Big Data Solution Architect at Micro Focus
July 30, 2019

Vertica is very good at ingesting data, compressing it, and querying at high speed. The trade-off here is that the data is stored in large block files called ROS containers. These containers can grow to large sizes, sometimes over 10 GB, and this makes it impractical to decompress and edit the files during updates and...
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Restore a Single Database View from a Backup

James Knicely, Vertica Field Chief Technologist
July 29, 2019

The Vertica Backup and Recovery (vbr) utility allows you to back up and restore either the full database, or one or more schema and table objects of interest. It’s a great tool for restoring a table if someone accidentally dropped it or deleted a significant amount of data by mistake. But what about a database...
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Avoid 1:1 Relationships in Your Data Model

James Knicely, Vertica Field Chief Technologist
July 24, 2019

1:1 relationships exist in row-oriented databases because of performance concerns. As a columnar database, there is no reason in Vertica to separate large tables out into separate structures. That is, instead of joining two large fact tables together, combine them into a single table! Helpful Links: https://www.vertica.com/docs/latest/HTML/Content/Authoring/AnalyzingData/FlattenedTables/FlattenedTables.htm Have fun!