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Python Set Operations Explained: From Theory to Real-Time Applications

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A  set  in Python is an unordered collection of unique elements. It is useful when storing distinct values and performing operations like union, intersection, or difference. Real-Time Example: Removing Duplicate Customer Emails in a Marketing Campaign Imagine you are working on an email marketing campaign for your company. You have a list of customer emails, but some are duplicated. Using a set , you can remove duplicates efficiently before sending emails. Code Example: # List of customer emails (some duplicates) customer_emails = [ "alice@example.com" , "bob@example.com" , "charlie@example.com" , "alice@example.com" , "david@example.com" , "bob@example.com" ] # Convert list to a set to remove duplicates unique_emails = set (customer_emails) # Convert back to a list (if needed) unique_email_list = list (unique_emails) # Print the unique emails print ( "Unique customer emails:" , unique_email_list) Ou...

How to Check Kafka Available Brokers

Brokers


Here's the command to check the list of brokers present in a Kafka Cluster. You can say the Broker is the heart of the Kafka cluster. In simple terms, it works as a process.

The main function is to receive messages from publishers and gives permission to access messages by consumers.

How to Check Available Brokers in Kafka

Here is the command:

linux$ ./zookeeper-shell.sh zookeeper-IPaddress:2181 | "ls /brokers/ids"

Just use the above command to get the number of brokers present in your host (Kafka Cluster).

What is Default Broker-id in Kafka 

The default broker id is -1. When you create a new broker, it adds to -1. Then, it gives a new broker id. The broker ids will be generated from reserved.broker.max.id + 1.


Types of broker ids.

  1. Use assigned
  2. Zookeeper generated broker id.


According to Wiki:

Kafka runs on a cluster of one or more servers (called brokers), and the partitions of all topics are distributed across the cluster nodes. 


Overview of Kafka

Additionally, partitions are replicated to multiple brokers. This architecture allows Kafka to deliver massive streams of messages in a fault-tolerant fashion and has allowed it to replace some of the conventional messaging systems like Java Message Service (JMS), Advanced Message Queuing Protocol (AMQP), etc. Since the 0.11.0.0 release, Kafka offers transactional writes, which provide an exactly-once stream.


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