Showing posts with the label Partition

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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 Easy Way to Split String Python Partition Method

Here's a way without the Split function you can split (or extract) a substring. In Python the method is Partition. You'll find here how to use this method with an example.  How to Split the string using Partition method   Returns Left side part Example-1 my_string='ABCDEFGH||10||123456.25|' my_partition=my_string.partition('|')[0] print(my_partition) Output |10||123456.25| ** Process exited - Return Code: 0 ** Press Enter to exit terminal Example-2 Returns from the separator to last of the string. my_string='ABCDEFGH||10||123456.25|' my_partition=my_string.partition('|')[-1] print(my_partition) Output |10||123456.25| ** Process exited - Return Code: 0 ** Press Enter to exit terminal The use of Rpartition to split a string in Python Example-1 Returns except right side last separator. my_string='ABCDEFGH||10||123456.25|' my_partition=my_string.rpartition('|')[0] print(my_partition) Output ABCDEFGH||10||123456.25 ** Process exited -