October 2013
Intermediate to advanced
172 pages
3h 51m
English
Content preview from Getting Started with Greenplum for Big Data AnalyticsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Greenplum table distribution and partitioning
In the following section, we will define table distribution in Greenplum context and detail the other related aspects of distribution, like data skew.
Distribution
Greenplum is a massive parallel processing data store, and data is distributed across segments as per the definition of the distribution strategy.
Every table in Greenplum has a data distribution method, the DISTRIBUTED BY clause helps define the distribution strategy. We need to ensure that there is no data skew introduced on any of the segment hosts as a result of the distribution key defined.
There are two methods of distributing table data across segment hosts:
- Column oriented/Hash distribution: This is a distribution mechanism that considers ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.