May 2017
Intermediate to advanced
348 pages
7h 8m
English
Content preview from Hadoop 2.x Administration CookbookBecome 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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Partitioning and Bucketing in Hive
In this recipe, we will look at Partitioning and Bucketing concepts in Hive. Partitioning is a scheme by which we reduce the amount of a dataset to be queried for a result.
For example, let's say we keep a record of the entire population in a Hive table, and when someone asks for a person's details, we query it based on the name and gender. This will take a lot of time, as it has to go though many records. Instead, a better approach would be to partition it by country and then query only the specific subset of records. In the RDBMS world, this is known as sharding. Partitioning lets you organize the data in a logical fashion and skip all but the data you need.
Bucketing is a concept of hashing, and based, upon ...
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