containerd/vendor/github.com/opencontainers/runc/libcontainer/cgroups/fs/cpuacct.go
Markus Lehtonen ed47d6ba76 cri: implement RuntimeConfig rpc
The rpc only reports one field, i.e. the cgroup driver, to kubelet.
Containerd determines the effective cgroup driver by looking at all
runtime handlers, starting from the default runtime handler (the rest in
alphabetical order), and returning the cgroup driver setting of the
first runtime handler that supports one. If no runtime handler supports
cgroup driver (i.e. has a config option for it) containerd falls back to
auto-detection, returning systemd if systemd is running and cgroupfs
otherwise.

This patch implements the CRI server side of Kubernetes KEP-4033:
https://github.com/kubernetes/enhancements/tree/master/keps/sig-node/4033-group-driver-detection-over-cri

Signed-off-by: Markus Lehtonen <markus.lehtonen@intel.com>
2023-07-28 13:50:43 +03:00

167 lines
4.5 KiB
Go

package fs
import (
"bufio"
"os"
"strconv"
"strings"
"github.com/opencontainers/runc/libcontainer/cgroups"
"github.com/opencontainers/runc/libcontainer/cgroups/fscommon"
"github.com/opencontainers/runc/libcontainer/configs"
)
const (
cgroupCpuacctStat = "cpuacct.stat"
cgroupCpuacctUsageAll = "cpuacct.usage_all"
nanosecondsInSecond = 1000000000
userModeColumn = 1
kernelModeColumn = 2
cuacctUsageAllColumnsNumber = 3
// The value comes from `C.sysconf(C._SC_CLK_TCK)`, and
// on Linux it's a constant which is safe to be hard coded,
// so we can avoid using cgo here. For details, see:
// https://github.com/containerd/cgroups/pull/12
clockTicks uint64 = 100
)
type CpuacctGroup struct{}
func (s *CpuacctGroup) Name() string {
return "cpuacct"
}
func (s *CpuacctGroup) Apply(path string, _ *configs.Resources, pid int) error {
return apply(path, pid)
}
func (s *CpuacctGroup) Set(_ string, _ *configs.Resources) error {
return nil
}
func (s *CpuacctGroup) GetStats(path string, stats *cgroups.Stats) error {
if !cgroups.PathExists(path) {
return nil
}
userModeUsage, kernelModeUsage, err := getCpuUsageBreakdown(path)
if err != nil {
return err
}
totalUsage, err := fscommon.GetCgroupParamUint(path, "cpuacct.usage")
if err != nil {
return err
}
percpuUsage, err := getPercpuUsage(path)
if err != nil {
return err
}
percpuUsageInKernelmode, percpuUsageInUsermode, err := getPercpuUsageInModes(path)
if err != nil {
return err
}
stats.CpuStats.CpuUsage.TotalUsage = totalUsage
stats.CpuStats.CpuUsage.PercpuUsage = percpuUsage
stats.CpuStats.CpuUsage.PercpuUsageInKernelmode = percpuUsageInKernelmode
stats.CpuStats.CpuUsage.PercpuUsageInUsermode = percpuUsageInUsermode
stats.CpuStats.CpuUsage.UsageInUsermode = userModeUsage
stats.CpuStats.CpuUsage.UsageInKernelmode = kernelModeUsage
return nil
}
// Returns user and kernel usage breakdown in nanoseconds.
func getCpuUsageBreakdown(path string) (uint64, uint64, error) {
var userModeUsage, kernelModeUsage uint64
const (
userField = "user"
systemField = "system"
file = cgroupCpuacctStat
)
// Expected format:
// user <usage in ticks>
// system <usage in ticks>
data, err := cgroups.ReadFile(path, file)
if err != nil {
return 0, 0, err
}
// TODO: use strings.SplitN instead.
fields := strings.Fields(data)
if len(fields) < 4 || fields[0] != userField || fields[2] != systemField {
return 0, 0, malformedLine(path, file, data)
}
if userModeUsage, err = strconv.ParseUint(fields[1], 10, 64); err != nil {
return 0, 0, &parseError{Path: path, File: file, Err: err}
}
if kernelModeUsage, err = strconv.ParseUint(fields[3], 10, 64); err != nil {
return 0, 0, &parseError{Path: path, File: file, Err: err}
}
return (userModeUsage * nanosecondsInSecond) / clockTicks, (kernelModeUsage * nanosecondsInSecond) / clockTicks, nil
}
func getPercpuUsage(path string) ([]uint64, error) {
const file = "cpuacct.usage_percpu"
percpuUsage := []uint64{}
data, err := cgroups.ReadFile(path, file)
if err != nil {
return percpuUsage, err
}
// TODO: use strings.SplitN instead.
for _, value := range strings.Fields(data) {
value, err := strconv.ParseUint(value, 10, 64)
if err != nil {
return percpuUsage, &parseError{Path: path, File: file, Err: err}
}
percpuUsage = append(percpuUsage, value)
}
return percpuUsage, nil
}
func getPercpuUsageInModes(path string) ([]uint64, []uint64, error) {
usageKernelMode := []uint64{}
usageUserMode := []uint64{}
const file = cgroupCpuacctUsageAll
fd, err := cgroups.OpenFile(path, file, os.O_RDONLY)
if os.IsNotExist(err) {
return usageKernelMode, usageUserMode, nil
} else if err != nil {
return nil, nil, err
}
defer fd.Close()
scanner := bufio.NewScanner(fd)
scanner.Scan() // skipping header line
for scanner.Scan() {
lineFields := strings.SplitN(scanner.Text(), " ", cuacctUsageAllColumnsNumber+1)
if len(lineFields) != cuacctUsageAllColumnsNumber {
continue
}
usageInKernelMode, err := strconv.ParseUint(lineFields[kernelModeColumn], 10, 64)
if err != nil {
return nil, nil, &parseError{Path: path, File: file, Err: err}
}
usageKernelMode = append(usageKernelMode, usageInKernelMode)
usageInUserMode, err := strconv.ParseUint(lineFields[userModeColumn], 10, 64)
if err != nil {
return nil, nil, &parseError{Path: path, File: file, Err: err}
}
usageUserMode = append(usageUserMode, usageInUserMode)
}
if err := scanner.Err(); err != nil {
return nil, nil, &parseError{Path: path, File: file, Err: err}
}
return usageKernelMode, usageUserMode, nil
}