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Measuring Response Times of Code on Oracle Systems

机译:测量Oracle系统上代码的响应时间

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To many application developers, an Oracle database is just a "data store" with an API that they call when they need to persist an object. It's a helpful abstraction for managing functional complexity, but it can lead to some horrible performance problems. You can avoid those problems by better understanding what's going on inside the Oracle kernel. It's not that hard to do. The key is understanding how to measure how your code spends time inside Oracle. Once you've done that, your response time profile leads you exactly to your performance improvement opportunities.
机译:对于许多应用程序开发人员来说,Oracle数据库只是一个“Data Store”,其中API在需要持续一个对象时调用。这是管理功能复杂性的有用抽象,但它可能导致一些可怕的性能问题。您可以通过更好地了解Oracle内核内部发生的内容来避免这些问题。这并不难。关键是了解如何衡量您的代码在Oracle内花费的时间。完成此操作后,您的响应时间型材会导致您的性能提高机会。

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