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MySQL QA: Analyzing and Filtering

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MySQL QA: Analyzing and Filtering

Learn how to analyze and filter your data in this episode of Percona's MySQL Quality Assurance.

· Database Zone ·
Free Resource

Compliant Database DevOps and the role of DevSecOps DevOps is becoming the new normal in application development, and DevSecOps is now entering the picture. By balancing the desire to release code faster with the need for the same code to be secure, it addresses increasing demands for data privacy. But what about the database? How can databases be included in both DevOps and DevSecOps? What additional measures should be considered to achieve truly compliant database DevOps? This whitepaper provides a valuable insight. Get the whitepaper

Today we will look into analyzing and filtering our QA run. We’ll use tools like pquery-prep-red.sh, pquery-clean-known.sh & pquery-results.sh

1. Quick re-cap and QA run setup
2. pquery-prep-red.sh
3. pquery-clean-known.sh
4. pquery-results.sh
5. Bonus: pquery reach – pquery-reach++.sh

We’ll also introduce the text_string.sh tool which extracts a most-specific text string from the error log in order to classify a bug/issue.

Full-screen viewing @ 720p resolution recommended

Compliant Database DevOps and the role of DevSecOps DevOps is becoming the new normal in application development, and DevSecOps is now entering the picture. By balancing the desire to release code faster with the need for the same code to be secure, it addresses increasing demands for data privacy. But what about the database? How can databases be included in both DevOps and DevSecOps? What additional measures should be considered to achieve truly compliant database DevOps? This whitepaper provides a valuable insight. Get the whitepaper

Topics:
qa ,database ,sql ,mysql

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