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You're reading from  Mastering Apache Storm

Product typeBook
Published inAug 2017
Reading LevelExpert
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ISBN-139781787125636
Edition1st Edition
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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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Deploy the Kafka topology on Storm cluster


The deployment of Kafka and Storm integration topology on the Storm cluster is similar to the deployment of other topologies. We need to set the number of workers and the maximum spout pending Storm config and we need to use the submitTopology method of StormSubmitter to submit the topology on the Storm cluster.

Now, we need to build the topology code as mentioned in the following steps to create a JAR of the Kafka Storm integration topology:

  1. Go to project home.
  2. Execute the command:
mvn clean install

The output of the preceding command is as follows:

------------------------------------------------------------------ -----
[INFO] ----------------------------------------------------------- -----
[INFO] BUILD SUCCESS
[INFO] ----------------------------------------------------------- -----
[INFO] Total time: 58.326s
[INFO] Finished at:
[INFO] Final Memory: 14M/116M
[INFO] ----------------------------------------------------------- -----
  1. Now, copy the Kafka...
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Mastering Apache Storm
Published in: Aug 2017Publisher: ISBN-13: 9781787125636

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