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8 Ways to Optimize AWS Glue Jobs in a Nutshell

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  Improving the performance of AWS Glue jobs involves several strategies that target different aspects of the ETL (Extract, Transform, Load) process. Here are some key practices. 1. Optimize Job Scripts Partitioning : Ensure your data is properly partitioned. Partitioning divides your data into manageable chunks, allowing parallel processing and reducing the amount of data scanned. Filtering : Apply pushdown predicates to filter data early in the ETL process, reducing the amount of data processed downstream. Compression : Use compressed file formats (e.g., Parquet, ORC) for your data sources and sinks. These formats not only reduce storage costs but also improve I/O performance. Optimize Transformations : Minimize the number of transformations and actions in your script. Combine transformations where possible and use DataFrame APIs which are optimized for performance. 2. Use Appropriate Data Formats Parquet and ORC : These columnar formats are efficient for storage and querying, signif

How to Find Factorial in Python for Any Number

I have explained how to find factorial for a given number in Python using my own script fact.fy.
A module is created as a script file, which contains function definitions that can be called in two ways:

  • From the interpreter
  • From another script file or from another function

python factorial logic

How to import a Script from Linux to Python Console

I have written a script fact.fy

# This program illustrates the designing/creation of a module

def factorial(n):
        "This module computes factorial"
        f=1;
        for i in range (1, n+1):
                  f=f*i;
        print(f)
        return 

In interpreter...
>>> import fact       ==> Import from Linux
>>>fact.factorial(5)
120

What is script reloading?

The Python interpreter imports a module only once in a session. 

If some modifications are performed in the script, then it must be reloaded (imported) again in the interpreter for future use.

A script is a reusable component and you can add n number of functions inside of it.

Directory function in Python.

In order to see the list of function names defined in a module, Python is provided with a built-in function called dir().

It displays the list of all the function definition names as follows:

>>>dir()

['__builtins__', '__cached__', '__doc__', '__file__', 
'__loader__','__name__', '__package__','__spec__',
'fib']

Another way if we give 'module' name in dir(), you will get a list of all functions inside of it.

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