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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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Dynamic log level settings


The dynamic log level allows us to change the log level setting of the topology on the runtime from the Storm CLI and the Storm UI.

Updating the log level from the Storm UI

Go through the following steps to update the log level from the Storm UI:

  1. Deploy SampleStormClusterTopology again on the Storm cluster if it is not running.
  2. Browse the Storm UI at http://nimbus-node:8080/.
  3. Click on the storm_example topology.

 

  1. Now click on the Change Log Level button to change the ROOT logger of the topology, as shown in the following are the screenshots:
  1. Configure the entries mentioned in the following screenshots change the ROOT logger to ERROR:
  1. If you are planning to change the logging level to DEBUG, then you must specify the timeout (expiry time) for that log level, as shown in the following screenshots:
  1. Once the time mentioned in the expiry time is reached, the log level will go back to the default value:
  1. Clear button mentioned in the Action column will clear the log setting, and...
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You have been reading a chapter from
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