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You're reading from  Apache Hive Essentials

Product typeBook
Published inFeb 2015
Reading LevelIntermediate
PublisherPackt
ISBN-139781783558575
Edition1st Edition
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Author (1)
Dayong Du
Dayong Du
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Dayong Du

Dayong Du has all his career dedicated to enterprise data and analytics for more than 10 years, especially on enterprise use case with open source big data technology, such as Hadoop, Hive, HBase, Spark, etc. Dayong is a big data practitioner as well as author and coach. He has published the 1st and 2nd edition of Apache Hive Essential and coached lots of people who are interested to learn and use big data technology. In addition, he is a seasonal blogger, contributor, and advisor for big data start-ups, co-founder of Toronto big data professional association.
Read more about Dayong Du

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ZooKeeper


ZooKeeper (see http://zookeeper.apache.org/) is a centralized service for configuration management and the synchronization of various aspects of naming and coordination. It manages a naming registry and effectively implements a system for managing the various statically and dynamically named objects in a hierarchical system. It also enables coordination and control to the shared resources, such as files and data, which are manipulated by multiple concurrent processes.

Unlike RDBMS, Hive does not natively support concurrency access and locking mechanisms. Hive relies on ZooKeeper for locking the shared resources since Hive 0.7.0. There are two types of locks provided by Hive through Zookeeper and they are as follows:

  • Shared lock: This is acquired when a table/partition is read. The concurrent shared locks are allowed in Hive.

  • Exclusive lock: This is acquired for all other operations that modify the table. For partition tables, only a shared lock is acquired if the change is only...

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Apache Hive Essentials
Published in: Feb 2015Publisher: PacktISBN-13: 9781783558575

Author (1)

author image
Dayong Du

Dayong Du has all his career dedicated to enterprise data and analytics for more than 10 years, especially on enterprise use case with open source big data technology, such as Hadoop, Hive, HBase, Spark, etc. Dayong is a big data practitioner as well as author and coach. He has published the 1st and 2nd edition of Apache Hive Essential and coached lots of people who are interested to learn and use big data technology. In addition, he is a seasonal blogger, contributor, and advisor for big data start-ups, co-founder of Toronto big data professional association.
Read more about Dayong Du