Implement podman-remote rm

* refactor command output to use one function
* Add new worker pool parallel operations
* Implement podman-remote umount
* Refactored podman wait to use printCmdOutput()

Signed-off-by: Jhon Honce <jhonce@redhat.com>

1 files changed, 133 insertions, 0 deletions

diff --git a/cmd/podman/shared/workers.go b/cmd/podman/shared/workers.go
new file mode 100644
index 000000000..112af89cc
--- /dev/null
+++ b/cmd/podman/shared/workers.go
@@ -0,0 +1,133 @@
+package shared
+
+import (
+	"reflect"
+	"runtime"
+	"strings"
+	"sync"
+
+	"github.com/sirupsen/logrus"
+)
+
+// JobFunc provides the function signature for the pool'ed functions
+type JobFunc func() error
+
+// Job defines the function to run
+type Job struct {
+	ID string
+	Fn JobFunc
+}
+
+// JobResult defines the results from the function ran
+type JobResult struct {
+	Job Job
+	Err error
+}
+
+// Pool defines the worker pool and queues
+type Pool struct {
+	id       string
+	wg       *sync.WaitGroup
+	jobs     chan Job
+	results  chan JobResult
+	size     int
+	capacity int
+}
+
+// NewPool creates and initializes a new Pool
+func NewPool(id string, size int, capacity int) *Pool {
+	var wg sync.WaitGroup
+
+	// min for int...
+	s := size
+	if s > capacity {
+		s = capacity
+	}
+
+	return &Pool{
+		id,
+		&wg,
+		make(chan Job, capacity),
+		make(chan JobResult, capacity),
+		s,
+		capacity,
+	}
+}
+
+// Add Job to pool for parallel processing
+func (p *Pool) Add(job Job) {
+	p.wg.Add(1)
+	p.jobs <- job
+}
+
+// Run the Job's in the pool, gather and return results
+func (p *Pool) Run() ([]string, map[string]error, error) {
+	var (
+		ok       = []string{}
+		failures = map[string]error{}
+	)
+
+	for w := 0; w < p.size; w++ {
+		w := w
+		go p.newWorker(w)
+	}
+	close(p.jobs)
+	p.wg.Wait()
+
+	close(p.results)
+	for r := range p.results {
+		if r.Err == nil {
+			ok = append(ok, r.Job.ID)
+		} else {
+			failures[r.Job.ID] = r.Err
+		}
+	}
+
+	if logrus.GetLevel() == logrus.DebugLevel {
+		for i, f := range failures {
+			logrus.Debugf("Pool[%s, %s: %s]", p.id, i, f.Error())
+		}
+	}
+
+	return ok, failures, nil
+}
+
+// newWorker creates new parallel workers to monitor jobs channel from Pool
+func (p *Pool) newWorker(slot int) {
+	for job := range p.jobs {
+		err := job.Fn()
+		p.results <- JobResult{job, err}
+		if logrus.GetLevel() == logrus.DebugLevel {
+			n := strings.Split(runtime.FuncForPC(reflect.ValueOf(job.Fn).Pointer()).Name(), ".")
+			logrus.Debugf("Worker#%d finished job %s/%s (%v)", slot, n[2:], job.ID, err)
+		}
+		p.wg.Done()
+	}
+}
+
+// DefaultPoolSize provides the maximum number of parallel workers (int) as calculated by a basic
+// heuristic. This can be overriden by the --max-workers primary switch to podman.
+func DefaultPoolSize(name string) int {
+	numCpus := runtime.NumCPU()
+	switch name {
+	case "kill":
+	case "pause":
+	case "rm":
+	case "unpause":
+		if numCpus <= 3 {
+			return numCpus * 3
+		}
+		return numCpus * 4
+	case "ps":
+		return 8
+	case "restart":
+		return numCpus * 2
+	case "stop":
+		if numCpus <= 2 {
+			return 4
+		} else {
+			return numCpus * 3
+		}
+	}
+	return 3
+}