Featured Post

Python Logic to Find All Unique Pairs in an Array

-
Image
 Here's the Python logic for finding all unique pairs in an array that sum up to a target value. Python Unique Pair Problem Write a Python function that finds all unique pairs in an array whose sum equals a target value. Avoid duplicates in the result. For example: Input: arr = [2, 4, 3, 5, 7, 8, 9] , target = 9 Output: [(2, 7), (4, 5)] Hints Use a set for tracking seen numbers. Check for complements efficiently. Example def find_unique_pairs(arr, target):     """     Finds all unique pairs in the array that sum up to the target value.     Parameters:     arr (list): The input array of integers.     target (int): The target sum value.     Returns:     list: A list of unique pairs that sum to the target value.     """     seen = set()     pairs = set()     for num in arr:         complement = target - num         if complement in seen:...
Post a Comment

How to Read Kafka Logs Quickly

-
In Kafka, the log file's function is to store entries. Here, you can find entries for the producer's incoming messages. You can call these topics. And, topics are divided into partitions.


How to Read Logs in Kafka

IN THIS PAGE

  1. Kafka Logs
  2. How Producer Messages Store
  3. Benefits of Kafka Logs
  4. How to check Logs in Kafka
How to Read Kafka Logs Quickly

1. Kafka Logs

  • The mechanism underlying Kafka is the log. Most software engineers are familiar with this. It tracks what an application is doing. 
  • If you have performance issues or errors in your application, the first place to check is the application logs. But it is a different sort of log. 
  • In the context of Kafka (or any other distributed system), a log is "an append-only, totally ordered sequence of records - ordered by time.

Kafka Basics [Video]





2. How Producer Messages Store

  • The producer writes the messages to Broker, and the records are stored in a log file. The records are stored as 0,1,2,3 and so on.
  • Each record will have one unique id.

4. Benefits of Kafka Logs

  • Logs are a simple data abstraction with powerful implications. If you have records in order with time, resolving conflicts, or determining which update to apply to different machines becomes straightforward.
  • Topics in Kafka are logs that are segregated by topic name. You could almost think of topics as labeled logs. If the log is replicated among a cluster of machines, and a single machine goes down, it’s easy to bring that server back up: just replay the log file. 
  • The ability to recover from failure is precisely the role of a distributed commit log.

5. How to Read Logs in Kafka

# The directory under which to store log files 

$  log.dir=/tmp/kafka8-logs 

Comments

Post a Comment

Thanks for your message. We will get back you.

Popular posts from this blog

How to Fix datetime Import Error in Python Quickly

-
Image
Here's a quick resolution for import datetime Python error . The reason is your .py python script name and datetime  are the same. I'll show you how this error happens and its resolution.   Here's the Resolution for ImportError I've created a script called 'datetime.py.' to check whether the minute value is 'odd' or not. During the import of my python script, I got the import error cannot import name datetime. My Script: datetime.py My script's intention is to find whether the minute value is odd or not. Python Logic from datetime import datetime odds = [ 1 , 3 , 5 , 7 , 9 , 11 , 13 , 15 , 17 , 19 , 21 , 23 , 25 , 27 , 29 , 31 , 33 , 35 , 37 , 39 , 41 , 43 , 45 , 47 , 49 , 51 , 53 , 55 , 57 , 59 ] right_this_minute = datetime.today().minute if right_this_minute in odds: print ( "This minute seems a little odd." ) else : print ( "Not an odd minute." ) ImportError I have imported my datetime.py from Linux. It gives an error ...
Read more

SQL Query: 3 Methods for Calculating Cumulative SUM

-
Image
SQL provides various constructs for calculating cumulative sums, offering flexibility and efficiency in data analysis. In this article, we explore three distinct SQL queries that facilitate the computation of cumulative sums. Each query leverages different SQL constructs to achieve the desired outcome, catering to diverse analytical needs and preferences. Using Window Functions (e.g., PostgreSQL, SQL Server, Oracle) SELECT id, value, SUM(value) OVER (ORDER BY id) AS cumulative_sum  FROM your_table; This query uses the SUM() window function with the OVER clause to calculate the cumulative sum of the value column ordered by the id column. Using Subqueries (e.g., MySQL, SQLite): SELECT t1.id, t1.value, SUM(t2.value) AS cumulative_sum FROM your_table t1 JOIN your_table t2 ON t1.id >= t2.id GROUP BY t1.id, t1.value ORDER BY t1.id; This query uses a self-join to calculate the cumulative sum. It joins the table with itself, matching rows where the id in the first table is greater than...
Read more

Big Data: Top Cloud Computing Interview Questions (1 of 4)

-
Image
The below are frequently asked interview questions on Cloud computing: 1) What is the difference between Cloud and Grid? Grid: -Information service -Security Service -Data management -Execution Manageement Cloud: - Maintains up-to-date information of resources -Create VMs according to user requirement -Application deploment -User management 2) What are the different cloud standards? -Interoperability standards -Security standards -Portability Standards -Governance and Risk standards 3) What are the two different sub-systems in Cloud computing ? -Management sub system -Resource sub system 4)What is Cloud compouting? The promise of cloud computing is ubiquitous access to a broad set of applications and services, which are delivered over the network to multiple customer. 5) Why we need specialized network for Cloud services? The public Internet is the simplest choice for delivering cloud-based services. In this model, the cloud provider simply purchases Inter...
Read more