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返回的行数过多

Optimize 提供的建议可帮助你识别和解决由查询返回的行数过多引起的性能问题。

¥Optimize provides recommendations to help you identify and resolve performance issues caused by excessive number of rows returned from a query.

以下针对 User 模型的查询不提供 take 选项：

¥The following query targeting a User model does not provide a take option:

await prisma.user.findMany({ where: { email: "janedoe@gmail.com" }})

问题是什么？​

¥What is the problem?

如果执行查询时未指定限制，它将返回所有相关行，这可能会导致以下几个问题：

¥When a query is executed without specifying a limit, it will return all relevant rows, which can lead to several issues:

用户体验​

¥User experience

  • 查看数据：用户通常在任何给定时间只需要一部分数据，而不是一次性获取全部数据。

    ¥Viewing data: Users typically need only a portion of the data at any given time, not all of it at once.

  • 对用户设备的影响：一次性显示所有数据可能会给用户的设备资源带来压力。例如，在 Web 应用中加载数千行数据可能会降低浏览器速度或使其卡死，从而消耗大量内存和 CPU 资源。

    ¥Impact on the user's device: Displaying all the data at once can strain the user's device resources. For example, loading thousands of rows in a web application can slow down or freeze the browser, consuming significant memory and CPU resources.

  • 等待时间：检索大量行会显著增加将数据从数据库传输到用户设备所需的时间。

    ¥Waiting time: Retrieving a large number of rows can significantly increase the time it takes to get the data from the database to the user's device.

资源利用率​

¥Resource Utilization

  • 不必要的数据加载：处理超出需求的数据会浪费宝贵的资源。

    ¥Unnecessary data load: Processing more data than required wastes valuable resources.

  • 内存使用情况：过多的内存消耗会导致效率低下，在严重的情况下，会导致系统内存耗尽，从而中断服务。

    ¥Memory usage: Excessive memory consumption can lead to inefficiency and, in severe cases, cause the system to run out of memory, disrupting the service.