因此,当我的网站看到大量传入流量时,我经常会遇到托管MySQL数据库的服务器的性能问题。
我刚刚在mysqltuner结果中看到了这一点:
Total buffers: 4.1G global + 1.0G per thread (500 max threads)
[!!] Maximum reached memory usage: 188.4G (299.43% of installed RAM)
[!!] Maximum possible memory usage: 2002.3G (3182.59% of installed RAM)
我是如何设法为每个线程预留1G的?更重要的是:我如何
您可以设置如下所述的spark.driver.memory和spark.executor.memory:
spark.driver.memory 1g Amount of memory to use for the driver process
spark.executor.memory 1g Amount of memory to use per executor process (e.g. 2g, 8g).
上面的配置显示内存。那么它是内存内存还是磁盘?
在运行我的getting服务时,我会收到以下消息:
Exceeded soft memory limit of 256 MB with 257 MB after servicing 0 requests total.
Consider setting a larger instance class in app.yaml.
奇怪的是我增加了app.yaml内存约束
runtime: java11
instance_class: F1
handlers:
- url: /.*
script: this field is required, but ignored
env_varia