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You're reading from  Mastering Apache Storm

Product typeBook
Published inAug 2017
Reading LevelExpert
Publisher
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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Tick tuple


In some use cases, a bolt needs to cache the data for a few seconds before performing some operation, such as cleaning the cache after every 5 seconds or inserting a batch of records into a database in a single request.

The tick tuple is the system-generated (Storm-generated) tuple that we can configure at each bolt level. The developer can configure the tick tuple at the code level while writing a bolt.

We need to overwrite the following method in the bolt to enable the tick tuple:

@Override 
public Map<String, Object> getComponentConfiguration() { 
  Config conf = new Config(); 
  int tickFrequencyInSeconds = 10; 
  conf.put(Config.TOPOLOGY_TICK_TUPLE_FREQ_SECS, 
  tickFrequencyInSeconds); 
  return conf; 
} 

In the preceding code, we have configured the tick tuple time to 10 seconds. Now, Storm will start generating a tick tuple after every 10 seconds.

Also, we need to add the following code in the execute method of the bolt to identify the type of tuple:

@Override 
public...
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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