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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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Here is Sample Logic to get Random numbers in Bash

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How to generate random number



Here's a bash script to generate a random number. You can use this logic to generate a random number, and it is useful for AWS engineers.

Random number


Script - Here's sample logic to get a random number



RANDOM=$$ # Set the seed to the PID of the script
UPPER_LIMIT=$1
RANDOM_NUMBER=$(($RANDOM % $UPPER_LIMIT + 1))
echo "$RANDOM_NUMBER"



If you select UPPER_LIMIT as 100, then the result would be a pseudo-random number between 1 and 100.

Her is the output after executing the script





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