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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
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Scraping Website: How to Write a Script in Python

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Here's a python model script to scrape a website using the BeautifulSoup.


Scrapping website

Python script

The logic below uses BeautifulSoup Package for web scraping.


import requests

from bs4 import BeautifulSoup

url = "https://www.example.com"

response = requests.get(url)

soup = BeautifulSoup(response.text, "html.parser")

# Print the title of the webpage

print(soup.title.text)

# Print all the links in the webpage

for link in soup.find_all("a"):

    print(link.get("href"))



In this script, we first import the Requests and Beautiful Soup libraries. We then define the URL we want to scrape and use the Requests library to send a GET request to that URL. We then pass the response text to Beautiful Soup to parse the HTML contents of the webpage.

We then use Beautiful Soup to extract the title of the webpage and print it to the console. We also use a for loop to find all the links in the webpage and print their href attributes to the console.

This is just a basic example, but you can use Beautiful Soup to extract any other HTML elements you want from the webpage.

References

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