Your journey to database proficiency
Tips and tricks on operational aspects of Vertica. Import, Export, Backup, Recovery, Logs, etc.
After publishing the “Loading data from AWS S3 bucket to Vertica made easy” post I had people asking me about the possibility of using the S3 function to load data in different formats. The most frequently asked question was about loading GZipped files from the S3 bucket. Vertica COPY command expects an uncompressed CSV input Read More …
The COPY command is an obvious choice when you need to load a significant amount of data into a Vertica database. In the past a lot of people have run into difficulties when their data was stored in an AWS S3 bucket. At that time, the COPY command assumed that all the file(s) with data Read More …
HPE Vertica 8 was released back in August. This post will cover basic installation of single-node Vertica 8.0.0 cluster on Ubuntu Server. My assumptions this is minimal install, which is not intended for production use I am not worried about redundancy, so I can do a single-node cluster I am not planning to do benchmarking Read More …
Vertica.log is the main log file of the Vertica database. After reading my previous post, HP Vertica Database Log Files and Their Locations, you know how to locate vertica.log on each node. In this post we will examine the content of this log file and will use it for different operational scenarios. Each node in the Read More …
An HP Vertica database has 2 main log files. Their names are dbLog and vertica.log. In the majority of cases you will be working with vertica.log. The dbLog file is used by Vertica during database startup. If you have issues starting the database then check dbLog for any recent messages. If the database started successfully Read More …
Sometimes you can find yourself in a position in which you need to export data out of Vertica. It is not a problem for small data sets, but could be challenging if you have millions of records. If you try to use vsql for this purpose you will be doing the export through a single Read More …
