Vertica Blog

Vertica Blog

Quick Tips

Load Balancing on Elastic Kubernetes Clusters

Sruthi Anumula, Senior Database Support Engineer
March 7, 2023

Your long-running sessions could fail after you deployed Vertica on Elastic Kubernetes Cluster (EKS) with Load Balancer as the service type. When the load balancer type is not specified in yaml, by default, EKS generates a classic load balancer with a default connection idle timeout of 60 seconds. The aws-load-balancer-connection-idle-timeout can be set up to...
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Restrict Modifying Table Rows (UPDATE/DELETE) Irrespective of User Privileges

Sruthi Anumula, Senior Database Support Engineer
February 14, 2023

Do you have a table with critical information such as SIEM events or credit card transactions? Do you want to be able to block user access to UPDATE/DELETE rows in those tables? From version 12.0.0, you can do this by setting the tables as IMMUTABLE. This means you can only insert data and not modify...
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High Availability for a Vertica in Eon Mode Database with Read-Only Mode

Sruthi Anumula, Senior Database Support Engineer
January 9, 2023

When Vertica is deployed in Eon Mode, there are two major requirements for high availability: maintaining quorum and shard coverage. If either of them is lost, the whole cluster goes down. Before going into details, let us understand what quorum and shard coverage mean. Quorum: In Eon Mode, more than half of the primary nodes...

How to Quickly Install Vertica on Large Clusters

Sruthi Anumula, Senior Database Support Engineer
December 19, 2022

Vertica 12.0.2 introduces a new feature that allows you to install Vertica in parallel on all hosts rather than one at a time as in earlier releases. This reduces the installation time in large clusters. To use this feature, run the --parallel-no-prompts flag with the install_vertica command. This flag can be used only when passwordless...
SQL Query Optimization

Improving COUNT DISTINCT Performance with Approximate Functions

Bryan Herger, Vertica Big Data Solution Architect at Micro Focus
November 16, 2022

A common analytic use case is to find the number of distinct items in a data set. Vertica performs well at solving COUNT DISTINCT in a few ways. Since Vertica stores all data in columns, it is possible to optimize for COUNT DISTINCT by building a projection that is tuned for this use case. Vertica...