docker 的 python sdk 如何计算docker 容器的 res 内存使用量？-灵析社区

起了一个 mysql 的 docker 容器 version: "3" services: mysql8: container_name: mysql8 image: mysql:8 restart: always ports: - "3306:3306" environment: - MYSQL_ROOT_PASSWORD=123456 volumes: - ./volumes/:/var/lib/mysql - ./my-custom.cnf:/etc/mysql/conf.d/my-custom.cnf 然后使用 htop 看到 mysql8 容器占用的 res 内存是 556MB  使用 docker stats 看到的内存使用量是 739.5MB，和 htop 不一致  使用 [docker 的 python sdk](https://link.segmentfault.com/?enc=ksnkIxkjQttNM5iwRCd84g%3D%3D.l2VSPz5X9oZ8W8VtJAxCifOaRz2LnKFoeCxmCEyXDBAiaTpEMV3TWtA9iy%2BoTw8X) 读取 mysql8 容器的信息 代码如下 from typing import List, Dict, Optional from concurrent.futures.thread import ThreadPoolExecutor import click import docker from rich.console import Console from docker.models.containers import Container import json def get_container_info(container: Container): short_id: str = container.short_id status: str = container.attrs['State']['Status'] name: str = container.attrs['Name'] from docker.models.images import Image image: Image = container.image image_name = image.tags[0] if image.tags else image.short_id container_stats: Dict = container.stats(decode=True).__next__() print(json.dumps(container_stats,indent=4)) client = docker.from_env() container = client.containers.get('c50ca07d3d41') get_container_info(container) 输出内容: { "read": "2023-10-03T03:27:20.913142192Z", "preread": "0001-01-01T00:00:00Z", "pids_stats": { "current": 47, "limit": 33438 }, "blkio_stats": { "io_service_bytes_recursive": [ { "major": 259, "minor": 0, "op": "read", "value": 301391872 }, { "major": 259, "minor": 0, "op": "write", "value": 1556733952 } ], "io_serviced_recursive": null, "io_queue_recursive": null, "io_service_time_recursive": null, "io_wait_time_recursive": null, "io_merged_recursive": null, "io_time_recursive": null, "sectors_recursive": null }, "num_procs": 0, "storage_stats": {}, "cpu_stats": { "cpu_usage": { "total_usage": 114408426000, "usage_in_kernelmode": 37930579000, "usage_in_usermode": 76477847000 }, "system_cpu_usage": 105739260000000, "online_cpus": 16, "throttling_data": { "periods": 0, "throttled_periods": 0, "throttled_time": 0 } }, "precpu_stats": { "cpu_usage": { "total_usage": 0, "usage_in_kernelmode": 0, "usage_in_usermode": 0 }, "throttling_data": { "periods": 0, "throttled_periods": 0, "throttled_time": 0 } }, "memory_stats": { "usage": 1346535424, "stats": { "active_anon": 4096, "active_file": 208646144, "anon": 546168832, "anon_thp": 0, "file": 779718656, "file_dirty": 0, "file_mapped": 36380672, "file_writeback": 0, "inactive_anon": 546164736, "inactive_file": 571072512, "kernel_stack": 770048, "pgactivate": 50248, "pgdeactivate": 0, "pgfault": 213604, "pglazyfree": 0, "pglazyfreed": 0, "pgmajfault": 453, "pgrefill": 0, "pgscan": 0, "pgsteal": 0, "shmem": 0, "slab": 17898776, "slab_reclaimable": 17314312, "slab_unreclaimable": 584464, "sock": 0, "thp_collapse_alloc": 0, "thp_fault_alloc": 0, "unevictable": 0, "workingset_activate": 0, "workingset_nodereclaim": 0, "workingset_refault": 0 }, "limit": 29296934912 }, "name": "/mysql8", "id": "c50ca07d3d41b26b9fca21bb90b942919066352c0f1866750afb7f2ab611d5ea", "networks": { "eth0": { "rx_bytes": 169903746, "rx_packets": 423759, "rx_errors": 0, "rx_dropped": 0, "tx_bytes": 18029112, "tx_packets": 228139, "tx_errors": 0, "tx_dropped": 0 } } } 可以看到 memory_stats 的 usage 是 1346535424，换算一下就是 1346535424/1024/1024/1024=1.25GB，这个结果和 htop 和 docker stats 都不一样 所以有两个问题： 问题一：看来需要组合计算 memory_stats 下面的 stats 中的某些参数才能获取和 htop 和 docker stats 一致的结果，但是我不知道该用哪些参数 问题二：为什么 htop 和 docker stats 的结果不一样