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Showing posts with the label Syntax Errors

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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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How to Fix Python Syntax Errors Quickly

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In Python, you can call parsing errors Syntax errors. How to fix the syntax errors quickly, I can show in this post. Also, check Python Syntax Errors Cheat Sheet. Python Syntax Error. If you run the Python code, the interpreter first parses the logic. If any errors are found, it is the developer's responsibility to fix them. Courtesy: Python documentation.   >>> while True print ( 'Hello world' ) File "<stdin>" , line 1 while True print ( 'Hello world' ) ^ SyntaxError : invalid syntax How to Fix the Syntax Error First, check for the line number. In the above case, it is '1'. Then look for the symbol '^'. The issue is at the PRINT function. The reason is before the PRINT function you need a colon ':'. That is the reason, you are getting errors. This is a syntax error. Find below the corrected logic: >>> while True : print ( 'Hello world' ) File "&l
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