Showing posts with the label UnboundLocalError

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8 Ways to Optimize AWS Glue Jobs in a Nutshell

  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

The Quick and Easy Way to Fix Python UnboundLocalError

Here is the easy way to fix the issue of the Python UnboundLocalError, allowing users to resolve any problems quickly. Python UnboundLocalError While the variable in the function has already been defined, during execution, the result prints with an error of UnboundLocalError. Below, you will find an example that explains the issue and resolution. Error: file 'example.txt' not found Traceback (most recent call last): File "", line 16, in <module> open_file("example.txt") File "", line 11, in open_file if f: UnboundLocalError: local variable 'f' referenced before assignment ** Process exited - Return Code: 1 ** Press Enter to exit terminal Python program using try, except and finally Below program explains how to use try, except and finally blocks in python. But during the execution, it prints UnboundLocalError. Program using try, except and finally # Define a function that may raise an exception def open_file(filename):