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You're reading from  Mastering Apache Storm

Product typeBook
Published inAug 2017
Reading LevelExpert
Publisher
ISBN-139781787125636
Edition1st Edition
Languages
Java
Tools
StormHadoop
Concepts
Data Processing
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Author (1)
Ankit Jain
Ankit Jain
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Ankit Jain

Ankit Jain holds a bachelor's degree in computer science and engineering. He has 6 years, experience in designing and architecting solutions for the big data domain and has been involved with several complex engagements. His technical strengths include Hadoop, Storm, S4, HBase, Hive, Sqoop, Flume, Elasticsearch, machine learning, Kafka, Spring, Java, and J2EE. He also shares his thoughts on his personal blog. You can follow him on Twitter at @mynameisanky. He spends most of his time reading books and playing with different technologies. When not at work, he spends time with his family and friends watching movies and playing games.
Read more about Ankit Jain

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Utilizing the groupBy operation

The groupBy operation doesn't involve any repartitioning. The groupBy operation converts the input stream into a grouped stream. The main function of the groupBy operation is to modify the behavior of the subsequent aggregate function. The following diagram shows how the groupBy operation groups the tuples of a single partition:

The behavior of groupBy is dependent on a position where it is used. The following behavior is possible:

  • If the groupBy operation is used before a partitionAggregate, then the partitionAggregate will run the aggregate on each group created within the partition.
  • If the groupBy operation is used before an aggregate, the tuples of the same batch are first repartitioned into a single partition, then groupBy is applied to each single partition, and at the end it will perform the aggregate operation on each group.
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Mastering Apache Storm
Published in: Aug 2017Publisher: ISBN-13: 9781787125636
© 2017 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Ankit Jain

Ankit Jain holds a bachelor's degree in computer science and engineering. He has 6 years, experience in designing and architecting solutions for the big data domain and has been involved with several complex engagements. His technical strengths include Hadoop, Storm, S4, HBase, Hive, Sqoop, Flume, Elasticsearch, machine learning, Kafka, Spring, Java, and J2EE. He also shares his thoughts on his personal blog. You can follow him on Twitter at @mynameisanky. He spends most of his time reading books and playing with different technologies. When not at work, he spends time with his family and friends watching movies and playing games.
Read more about Ankit Jain

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