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Optimizing Shell Scripts to Execute Complex SQL Queries in Staging Environment

πŸ‘€ Views: 133 πŸ’¬ Answers: 1 πŸ“… Created: 2025-09-21
shell mysql performance bash

I'm updating my dependencies and I'm upgrading from an older version and I'm converting an old project and I'm working on a project and hit a roadblock. During development, I've been tasked with optimizing several complex SQL queries executed from shell scripts in our staging environment... The performance of these queries is crucial as they directly impact our testing cycles and overall development speed. I've noticed that some of the queries take significantly longer to execute, particularly when the database size increases. Initially, I used `mysql` from the command line to run these queries individually: ```bash mysql --host=staging-db --user=admin --password=secret -e "SELECT * FROM large_table WHERE condition;" ``` This approach works, but it lacks efficiency for running multiple queries. I thought about wrapping my SQL commands in a single script to batch process them, which looks like this: ```bash #!/bin/bash mysql --host=staging-db --user=admin --password=secret <<EOF SELECT * FROM large_table WHERE condition; SELECT * FROM another_table WHERE condition; EOF ``` However, the performance still isn't optimal. I’ve attempted to create indexes on frequently accessed columns, but I’m not seeing any notable improvements. I've also explored using `parallel` to execute multiple queries simultaneously: ```bash seq 1 5 | parallel "mysql --host=staging-db --user=admin --password=secret -e 'SELECT * FROM large_table WHERE condition_value={}'" ``` This method improved the execution time slightly but still feels inadequate for certain heavy queries. What’s more puzzling is the memory usage during these operations. Monitoring tools show spikes that seem excessive. Is it possible that the way I'm invoking MySQL could lead to inefficient memory usage? Are there recommended practices for managing resources when executing SQL from shell scripts? Any guidance on optimizing these queries or improving the overall script performance would be appreciated. Am I missing something obvious? My development environment is Linux. Has anyone else encountered this? Any pointers in the right direction? Cheers for any assistance! Hoping someone can shed some light on this.