Files
runc/events.go
T
Xiaochen Shen 27560ace2f libcontainer: intelrdt: add support for Intel RDT/MBA in runc
Memory Bandwidth Allocation (MBA) is a resource allocation sub-feature
of Intel Resource Director Technology (RDT) which is supported on some
Intel Xeon platforms. Intel RDT/MBA provides indirect and approximate
throttle over memory bandwidth for the software. A user controls the
resource by indicating the percentage of maximum memory bandwidth.

Hardware details of Intel RDT/MBA can be found in section 17.18 of
Intel Software Developer Manual:
https://software.intel.com/en-us/articles/intel-sdm

In Linux 4.12 kernel and newer, Intel RDT/MBA is enabled by kernel
config CONFIG_INTEL_RDT. If hardware support, CPU flags `rdt_a` and
`mba` will be set in /proc/cpuinfo.

Intel RDT "resource control" filesystem hierarchy:
mount -t resctrl resctrl /sys/fs/resctrl
tree /sys/fs/resctrl
/sys/fs/resctrl/
|-- info
|   |-- L3
|   |   |-- cbm_mask
|   |   |-- min_cbm_bits
|   |   |-- num_closids
|   |-- MB
|       |-- bandwidth_gran
|       |-- delay_linear
|       |-- min_bandwidth
|       |-- num_closids
|-- ...
|-- schemata
|-- tasks
|-- <container_id>
    |-- ...
    |-- schemata
    |-- tasks

For MBA support for `runc`, we will reuse the infrastructure and code
base of Intel RDT/CAT which implemented in #1279. We could also make
use of `tasks` and `schemata` configuration for memory bandwidth
resource constraints.

The file `tasks` has a list of tasks that belongs to this group (e.g.,
<container_id>" group). Tasks can be added to a group by writing the
task ID to the "tasks" file (which will automatically remove them from
the previous group to which they belonged). New tasks created by
fork(2) and clone(2) are added to the same group as their parent.

The file `schemata` has a list of all the resources available to this
group. Each resource (L3 cache, memory bandwidth) has its own line and
format.

Memory bandwidth schema:
It has allocation values for memory bandwidth on each socket, which
contains L3 cache id and memory bandwidth percentage.
    Format: "MB:<cache_id0>=bandwidth0;<cache_id1>=bandwidth1;..."

The minimum bandwidth percentage value for each CPU model is predefined
and can be looked up through "info/MB/min_bandwidth". The bandwidth
granularity that is allocated is also dependent on the CPU model and
can be looked up at "info/MB/bandwidth_gran". The available bandwidth
control steps are: min_bw + N * bw_gran. Intermediate values are
rounded to the next control step available on the hardware.

For more information about Intel RDT kernel interface:
https://www.kernel.org/doc/Documentation/x86/intel_rdt_ui.txt

An example for runc:
Consider a two-socket machine with two L3 caches where the minimum
memory bandwidth of 10% with a memory bandwidth granularity of 10%.
Tasks inside the container may use a maximum memory bandwidth of 20%
on socket 0 and 70% on socket 1.

"linux": {
    "intelRdt": {
        "memBwSchema": "MB:0=20;1=70"
    }
}

Signed-off-by: Xiaochen Shen <xiaochen.shen@intel.com>
2018-10-16 14:29:29 +08:00

328 lines
9.4 KiB
Go

// +build linux
package main
import (
"encoding/json"
"fmt"
"os"
"sync"
"time"
"github.com/opencontainers/runc/libcontainer"
"github.com/opencontainers/runc/libcontainer/cgroups"
"github.com/opencontainers/runc/libcontainer/intelrdt"
"github.com/sirupsen/logrus"
"github.com/urfave/cli"
)
// event struct for encoding the event data to json.
type event struct {
Type string `json:"type"`
ID string `json:"id"`
Data interface{} `json:"data,omitempty"`
}
// stats is the runc specific stats structure for stability when encoding and decoding stats.
type stats struct {
CPU cpu `json:"cpu"`
Memory memory `json:"memory"`
Pids pids `json:"pids"`
Blkio blkio `json:"blkio"`
Hugetlb map[string]hugetlb `json:"hugetlb"`
IntelRdt intelRdt `json:"intel_rdt"`
}
type hugetlb struct {
Usage uint64 `json:"usage,omitempty"`
Max uint64 `json:"max,omitempty"`
Failcnt uint64 `json:"failcnt"`
}
type blkioEntry struct {
Major uint64 `json:"major,omitempty"`
Minor uint64 `json:"minor,omitempty"`
Op string `json:"op,omitempty"`
Value uint64 `json:"value,omitempty"`
}
type blkio struct {
IoServiceBytesRecursive []blkioEntry `json:"ioServiceBytesRecursive,omitempty"`
IoServicedRecursive []blkioEntry `json:"ioServicedRecursive,omitempty"`
IoQueuedRecursive []blkioEntry `json:"ioQueueRecursive,omitempty"`
IoServiceTimeRecursive []blkioEntry `json:"ioServiceTimeRecursive,omitempty"`
IoWaitTimeRecursive []blkioEntry `json:"ioWaitTimeRecursive,omitempty"`
IoMergedRecursive []blkioEntry `json:"ioMergedRecursive,omitempty"`
IoTimeRecursive []blkioEntry `json:"ioTimeRecursive,omitempty"`
SectorsRecursive []blkioEntry `json:"sectorsRecursive,omitempty"`
}
type pids struct {
Current uint64 `json:"current,omitempty"`
Limit uint64 `json:"limit,omitempty"`
}
type throttling struct {
Periods uint64 `json:"periods,omitempty"`
ThrottledPeriods uint64 `json:"throttledPeriods,omitempty"`
ThrottledTime uint64 `json:"throttledTime,omitempty"`
}
type cpuUsage struct {
// Units: nanoseconds.
Total uint64 `json:"total,omitempty"`
Percpu []uint64 `json:"percpu,omitempty"`
Kernel uint64 `json:"kernel"`
User uint64 `json:"user"`
}
type cpu struct {
Usage cpuUsage `json:"usage,omitempty"`
Throttling throttling `json:"throttling,omitempty"`
}
type memoryEntry struct {
Limit uint64 `json:"limit"`
Usage uint64 `json:"usage,omitempty"`
Max uint64 `json:"max,omitempty"`
Failcnt uint64 `json:"failcnt"`
}
type memory struct {
Cache uint64 `json:"cache,omitempty"`
Usage memoryEntry `json:"usage,omitempty"`
Swap memoryEntry `json:"swap,omitempty"`
Kernel memoryEntry `json:"kernel,omitempty"`
KernelTCP memoryEntry `json:"kernelTCP,omitempty"`
Raw map[string]uint64 `json:"raw,omitempty"`
}
type l3CacheInfo struct {
CbmMask string `json:"cbm_mask,omitempty"`
MinCbmBits uint64 `json:"min_cbm_bits,omitempty"`
NumClosids uint64 `json:"num_closids,omitempty"`
}
type memBwInfo struct {
BandwidthGran uint64 `json:"bandwidth_gran,omitempty"`
DelayLinear uint64 `json:"delay_linear,omitempty"`
MinBandwidth uint64 `json:"min_bandwidth,omitempty"`
NumClosids uint64 `json:"num_closids,omitempty"`
}
type intelRdt struct {
// The read-only L3 cache information
L3CacheInfo *l3CacheInfo `json:"l3_cache_info,omitempty"`
// The read-only L3 cache schema in root
L3CacheSchemaRoot string `json:"l3_cache_schema_root,omitempty"`
// The L3 cache schema in 'container_id' group
L3CacheSchema string `json:"l3_cache_schema,omitempty"`
// The read-only memory bandwidth information
MemBwInfo *memBwInfo `json:"mem_bw_info,omitempty"`
// The read-only memory bandwidth schema in root
MemBwSchemaRoot string `json:"mem_bw_schema_root,omitempty"`
// The memory bandwidth schema in 'container_id' group
MemBwSchema string `json:"mem_bw_schema,omitempty"`
}
var eventsCommand = cli.Command{
Name: "events",
Usage: "display container events such as OOM notifications, cpu, memory, and IO usage statistics",
ArgsUsage: `<container-id>
Where "<container-id>" is the name for the instance of the container.`,
Description: `The events command displays information about the container. By default the
information is displayed once every 5 seconds.`,
Flags: []cli.Flag{
cli.DurationFlag{Name: "interval", Value: 5 * time.Second, Usage: "set the stats collection interval"},
cli.BoolFlag{Name: "stats", Usage: "display the container's stats then exit"},
},
Action: func(context *cli.Context) error {
if err := checkArgs(context, 1, exactArgs); err != nil {
return err
}
container, err := getContainer(context)
if err != nil {
return err
}
duration := context.Duration("interval")
if duration <= 0 {
return fmt.Errorf("duration interval must be greater than 0")
}
status, err := container.Status()
if err != nil {
return err
}
if status == libcontainer.Stopped {
return fmt.Errorf("container with id %s is not running", container.ID())
}
var (
stats = make(chan *libcontainer.Stats, 1)
events = make(chan *event, 1024)
group = &sync.WaitGroup{}
)
group.Add(1)
go func() {
defer group.Done()
enc := json.NewEncoder(os.Stdout)
for e := range events {
if err := enc.Encode(e); err != nil {
logrus.Error(err)
}
}
}()
if context.Bool("stats") {
s, err := container.Stats()
if err != nil {
return err
}
events <- &event{Type: "stats", ID: container.ID(), Data: convertLibcontainerStats(s)}
close(events)
group.Wait()
return nil
}
go func() {
for range time.Tick(context.Duration("interval")) {
s, err := container.Stats()
if err != nil {
logrus.Error(err)
continue
}
stats <- s
}
}()
n, err := container.NotifyOOM()
if err != nil {
return err
}
for {
select {
case _, ok := <-n:
if ok {
// this means an oom event was received, if it is !ok then
// the channel was closed because the container stopped and
// the cgroups no longer exist.
events <- &event{Type: "oom", ID: container.ID()}
} else {
n = nil
}
case s := <-stats:
events <- &event{Type: "stats", ID: container.ID(), Data: convertLibcontainerStats(s)}
}
if n == nil {
close(events)
break
}
}
group.Wait()
return nil
},
}
func convertLibcontainerStats(ls *libcontainer.Stats) *stats {
cg := ls.CgroupStats
if cg == nil {
return nil
}
var s stats
s.Pids.Current = cg.PidsStats.Current
s.Pids.Limit = cg.PidsStats.Limit
s.CPU.Usage.Kernel = cg.CpuStats.CpuUsage.UsageInKernelmode
s.CPU.Usage.User = cg.CpuStats.CpuUsage.UsageInUsermode
s.CPU.Usage.Total = cg.CpuStats.CpuUsage.TotalUsage
s.CPU.Usage.Percpu = cg.CpuStats.CpuUsage.PercpuUsage
s.CPU.Throttling.Periods = cg.CpuStats.ThrottlingData.Periods
s.CPU.Throttling.ThrottledPeriods = cg.CpuStats.ThrottlingData.ThrottledPeriods
s.CPU.Throttling.ThrottledTime = cg.CpuStats.ThrottlingData.ThrottledTime
s.Memory.Cache = cg.MemoryStats.Cache
s.Memory.Kernel = convertMemoryEntry(cg.MemoryStats.KernelUsage)
s.Memory.KernelTCP = convertMemoryEntry(cg.MemoryStats.KernelTCPUsage)
s.Memory.Swap = convertMemoryEntry(cg.MemoryStats.SwapUsage)
s.Memory.Usage = convertMemoryEntry(cg.MemoryStats.Usage)
s.Memory.Raw = cg.MemoryStats.Stats
s.Blkio.IoServiceBytesRecursive = convertBlkioEntry(cg.BlkioStats.IoServiceBytesRecursive)
s.Blkio.IoServicedRecursive = convertBlkioEntry(cg.BlkioStats.IoServicedRecursive)
s.Blkio.IoQueuedRecursive = convertBlkioEntry(cg.BlkioStats.IoQueuedRecursive)
s.Blkio.IoServiceTimeRecursive = convertBlkioEntry(cg.BlkioStats.IoServiceTimeRecursive)
s.Blkio.IoWaitTimeRecursive = convertBlkioEntry(cg.BlkioStats.IoWaitTimeRecursive)
s.Blkio.IoMergedRecursive = convertBlkioEntry(cg.BlkioStats.IoMergedRecursive)
s.Blkio.IoTimeRecursive = convertBlkioEntry(cg.BlkioStats.IoTimeRecursive)
s.Blkio.SectorsRecursive = convertBlkioEntry(cg.BlkioStats.SectorsRecursive)
s.Hugetlb = make(map[string]hugetlb)
for k, v := range cg.HugetlbStats {
s.Hugetlb[k] = convertHugtlb(v)
}
if is := ls.IntelRdtStats; is != nil {
if intelrdt.IsCatEnabled() {
s.IntelRdt.L3CacheInfo = convertL3CacheInfo(is.L3CacheInfo)
s.IntelRdt.L3CacheSchemaRoot = is.L3CacheSchemaRoot
s.IntelRdt.L3CacheSchema = is.L3CacheSchema
}
if intelrdt.IsMbaEnabled() {
s.IntelRdt.MemBwInfo = convertMemBwInfo(is.MemBwInfo)
s.IntelRdt.MemBwSchemaRoot = is.MemBwSchemaRoot
s.IntelRdt.MemBwSchema = is.MemBwSchema
}
}
return &s
}
func convertHugtlb(c cgroups.HugetlbStats) hugetlb {
return hugetlb{
Usage: c.Usage,
Max: c.MaxUsage,
Failcnt: c.Failcnt,
}
}
func convertMemoryEntry(c cgroups.MemoryData) memoryEntry {
return memoryEntry{
Limit: c.Limit,
Usage: c.Usage,
Max: c.MaxUsage,
Failcnt: c.Failcnt,
}
}
func convertBlkioEntry(c []cgroups.BlkioStatEntry) []blkioEntry {
var out []blkioEntry
for _, e := range c {
out = append(out, blkioEntry{
Major: e.Major,
Minor: e.Minor,
Op: e.Op,
Value: e.Value,
})
}
return out
}
func convertL3CacheInfo(i *intelrdt.L3CacheInfo) *l3CacheInfo {
return &l3CacheInfo{
CbmMask: i.CbmMask,
MinCbmBits: i.MinCbmBits,
NumClosids: i.NumClosids,
}
}
func convertMemBwInfo(i *intelrdt.MemBwInfo) *memBwInfo {
return &memBwInfo{
BandwidthGran: i.BandwidthGran,
DelayLinear: i.DelayLinear,
MinBandwidth: i.MinBandwidth,
NumClosids: i.NumClosids,
}
}