Type: Performance Issue Behaviour CPU usage should be minimal. Ideally less than 5%. These pyenv-which and pyenv-exec processes are spawned as soon as VSCode is opened. Takes a few minutes before they start hitting 100%. They also never ...
When closed: Obviously, when Pylance is turned on, more white icon Python processes will appear, and CPU continue to be highly occupied, but these white icon Python processes can all be manually terminated. Regardless of whether Pylance is enabled or not, the white icon Python processes those ...
def get_cpu_usage(): return psutil.cpu_percent(interval=1. percpu=True) # 绘制实时CPU使用率曲线 def plot_cpu_usage(i): usage_percent = get_cpu_usage() plt.cla() plt.plot(range(len(usage_percent)), usage_percent, marker='o', linestyle='-', color='b') plt.ylim(0. 100) plt....
https://github.com/dpkp/kafka-python/issues/1315 High CPU usage in KafkaConsumer.poll() when subscribed to many topics with no new messages (possibly SSL related)
https://github.com/dpkp/kafka-python/issues/1033KafkaConsumer Fails to Report Problem with Compression https://github.com/dpkp/kafka-python/issues/1315 High CPU usage in KafkaConsumer.poll() when subscribed to many topics with no new messages (possibly SSL related)...
cpuHigh.py def condition(): e1 = eva.Event() kpi1 = e1.addkpi("huawei-cpu-memory:cpu-memory/board-cpu-infos/board-cpu-info/system-cpu-usage") e1.ret = eva.avg(kpi1, 3) > 90 s1 = eva.Strategy() s1.formula = e1 action1 = eva.log("board ${e1.slot-id}--${e1.cpu-id...
import eva def condition(): e1 = eva.Event() kpi1 = e1.addkpi("huawei-cpu-memory:cpu-memory/board-cpu-infos/board-cpu-info/system-cpu-usage") e1.ret = eva.avg(kpi1, 10) > 90 e2 = eva.Event() kpi2 = e2.addkpi("huawei-cpu-memory:cpu-memory/board-memory-infos/board-memory...
- alert: "Memory Usage" expr: round((1-(node_memory_MemAvailable_bytes{job='sentry'} / (node_memory_MemTotal_bytes{job='sentry'})))* 100) > 85 for: 5m labels: team: ops severity: warning cloud: yizhuang annotations: summary: "Memory usage is too high and over 85% for 5min" ...
- alert: "Memory Usage" expr: round((1-(node_memory_MemAvailable_bytes{job='sentry'} / (node_memory_MemTotal_bytes{job='sentry'})))* 100) > 85 for: 5m labels: team: ops severity: warning cloud: yizhuang annotations: summary: "Memory usage is too high and over 85% for 5min" ...
Scalene是一个针对Python脚本的CPU和内存剖析工具,它能够正确处理多线程代码,并区分运行Python和本地代码的时间。 你不需要修改你的代码,你只需要用scalene从命令行运行你的脚本,它就会为你生成一个文本或HTML报告,显示每行代码的CPU和内存使用情况。 结语 一款好用的工具,能够让开发者事半功倍。 对于Python这种极度...