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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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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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Cluster statistics using the Nimbus thrift client


This section covers how we can collect cluster details (similar to the details shown on the Storm UI page) using the Nimbus thrift client. Extracting/collecting information through the Nimbus thrift client allows us to visualize the data.

The Nimbus thrift API is very rich, and exposes all the necessary information required to monitor the Storm cluster.

Fetching information with Nimbus thrift

In this section, we will be creating a Java project that will contain classes that will perform the following operations using the Nimbus thrift client:

  • Collect the Nimbus configuration
  • Collect the supervisor statistics
  • Collect the topology statistics
  • Collect the spout statistics for a given topology
  • Collect the bolt statistics for a given topology
  • Kill the given topology

The following are the steps to fetch the cluster details using the Nimbus thrift client:

  1. Create a Maven project by using com.stormadvance as groupId and stormmonitoring as artifactId.
  2. Add the following...
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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