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You're reading from  Apache Hive Essentials

Product typeBook
Published inFeb 2015
Reading LevelIntermediate
PublisherPackt
ISBN-139781783558575
Edition1st Edition
Languages
SQL
Tools
HiveHadoop
Concepts
Data Processing
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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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Transactions

Before Hive version 0.13.0, Hive does not support row-level transactions. As a result, there is no way to update, insert, or delete rows of data. Hence, data overwrite can only happen on tables or partitions. This makes Hive very difficult when dealing with concurrent read/write and data-cleaning use cases.

Since Hive version 0.13.0, Hive fully supports row-level transactions by offering full Atomicity, Consistency, Isolation, and Durability (ACID) to Hive. For now, all the transactions are autocommuted and only support data in the Optimized Row Columnar (ORC) file (available since Hive 0.11.0) format and in bucketed tables.

The following configuration parameters must be set appropriately to turn on transaction support in Hive:

SET hive.support.concurrency = true;
SET hive.enforce.bucketing = true;
SET hive.exec.dynamic.partition.mode = nonstrict;
SET hive.txn.manager = org.apache.hadoop.hive.ql.lockmgr.DbTxnManager;
SET hive.compactor.initiator.on = true;
SET hive.compactor.worker...
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Apache Hive Essentials
Published in: Feb 2015Publisher: PacktISBN-13: 9781783558575
© 2015 Packt Publishing Limited All Rights Reserved

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

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