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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

Python String Comparison Top Ideas

Python String Comparison Top Ideas

In Python, you can compare two strings how you would do on numbers. Python is stricter on string comparison. It identifies any small differences in strings. So Python is case sensitive while comparing it checks for identical ones.

  
Python follow-suite other languages. It compares strings for exact equals. Else, treat them as different strings.

Python String Comparison 

  • Extra spaces
  • Uppercase or Lowercase

#1 Example

>>> a = "Virginia"
>>> b = "virginia"
>>> a == b False 

The strings a and b are looking similar. But there is case sensitive difference. Python checks for extra white spaces as well as Upper or Lowe case letters.

#2 Example

>>> greet1 = "Hello "
>>> greet2 = "Hello"
>>> greet1  == greet2 False

The greet1 has space at the end whereas greet2 does not. Python looks at whitespace when comparing strings, so the two aren’t considered equal.

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