Book Image

HP Vertica Essentials

By : Rishabh Agrawal
Book Image

HP Vertica Essentials

By: Rishabh Agrawal

Overview of this book

<p>With the rise of Massively Parallel Processing (MPP) and NewSQL databases, many users are confused about which MPP technology to opt for. Today, HP Vertica is gaining a lot of traction as a major MPP technology. Vertica's distributed architecture allows fast query processing, and it is a highly fault-tolerant architecture, thus making it one of the most sought-after MPP databases today.</p> <p>HP Vertica Essentials will help you to learn day-to-day administration activities in a step-by-step format. You will start by learning how to install Vertica, followed by its management and monitoring. You will learn about the different backup and restore techniques, including the concept of projections in Vertica. Finally, you will explore the various techniques to improve performance and bulk loading in Vertica. By the end of this book, you will be able to install, manage, and monitor Vertica efficiently.</p>
Table of Contents (13 chapters)

Monitoring data collection components


As discussed earlier, when the DATA_COLLECTOR system table is queried, we are presented with a list of Data Collector components, their current retention policies, and statistics about how much data is retained and how much has been discarded. DATA_COLLECTOR also calculates the approximate collection rate to aid in sizing calculations. The following is a simple query that returns all the columns in this system table:

km=> \x
Expanded display is on.
km=> SELECT * FROM data_collector;
-[ RECORD 1 ]----------+-------------------------------------------------------------------------------------------------------------------
node_name              | v_km_node0001
component              | AllocationPoolStatistics
table_name             | dc_allocation_pool_statistics
description            | Information about global memory pools, which generally cannot be recovered without restart
access_restricted      | t
in_db_log              | f
in_vertica_log ...