247 lines
8.3 KiB
Go
247 lines
8.3 KiB
Go
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package vsphere
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import (
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"context"
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"crypto/tls"
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"fmt"
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"regexp"
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"sort"
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"testing"
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"time"
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"github.com/influxdata/telegraf/internal"
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itls "github.com/influxdata/telegraf/internal/tls"
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"github.com/influxdata/telegraf/testutil"
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"github.com/influxdata/toml"
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"github.com/stretchr/testify/require"
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"github.com/vmware/govmomi/simulator"
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)
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var configHeader = `
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# Telegraf Configuration
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#
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# Telegraf is entirely plugin driven. All metrics are gathered from the
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# declared inputs, and sent to the declared outputs.
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#
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# Plugins must be declared in here to be active.
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# To deactivate a plugin, comment out the name and any variables.
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#
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# Use 'telegraf -config telegraf.conf -test' to see what metrics a config
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# file would generate.
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#
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# Environment variables can be used anywhere in this config file, simply prepend
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# them with $. For strings the variable must be within quotes (ie, "$STR_VAR"),
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# for numbers and booleans they should be plain (ie, $INT_VAR, $BOOL_VAR)
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# Global tags can be specified here in key="value" format.
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[global_tags]
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# dc = "us-east-1" # will tag all metrics with dc=us-east-1
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# rack = "1a"
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## Environment variables can be used as tags, and throughout the config file
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# user = "$USER"
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# Configuration for telegraf agent
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[agent]
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## Default data collection interval for all inputs
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interval = "10s"
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## Rounds collection interval to 'interval'
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## ie, if interval="10s" then always collect on :00, :10, :20, etc.
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round_interval = true
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## Telegraf will send metrics to outputs in batches of at most
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## metric_batch_size metrics.
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## This controls the size of writes that Telegraf sends to output plugins.
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metric_batch_size = 1000
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## For failed writes, telegraf will cache metric_buffer_limit metrics for each
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## output, and will flush this buffer on a successful write. Oldest metrics
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## are dropped first when this buffer fills.
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## This buffer only fills when writes fail to output plugin(s).
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metric_buffer_limit = 10000
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## Collection jitter is used to jitter the collection by a random amount.
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## Each plugin will sleep for a random time within jitter before collecting.
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## This can be used to avoid many plugins querying things like sysfs at the
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## same time, which can have a measurable effect on the system.
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collection_jitter = "0s"
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## Default flushing interval for all outputs. You shouldn't set this below
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## interval. Maximum flush_interval will be flush_interval + flush_jitter
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flush_interval = "10s"
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## Jitter the flush interval by a random amount. This is primarily to avoid
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## large write spikes for users running a large number of telegraf instances.
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## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s
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flush_jitter = "0s"
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## By default or when set to "0s", precision will be set to the same
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## timestamp order as the collection interval, with the maximum being 1s.
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## ie, when interval = "10s", precision will be "1s"
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## when interval = "250ms", precision will be "1ms"
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## Precision will NOT be used for service inputs. It is up to each individual
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## service input to set the timestamp at the appropriate precision.
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## Valid time units are "ns", "us" (or "µs"), "ms", "s".
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precision = ""
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## Logging configuration:
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## Run telegraf with debug log messages.
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debug = false
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## Run telegraf in quiet mode (error log messages only).
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quiet = false
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## Specify the log file name. The empty string means to log to stderr.
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logfile = ""
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## Override default hostname, if empty use os.Hostname()
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hostname = ""
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## If set to true, do no set the "host" tag in the telegraf agent.
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omit_hostname = false
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`
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func defaultVSphere() *VSphere {
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return &VSphere{
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ClusterMetricInclude: []string{
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"cpu.usage.*",
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"cpu.usagemhz.*",
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"mem.usage.*",
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"mem.active.*"},
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ClusterMetricExclude: nil,
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HostMetricInclude: []string{
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"cpu.ready.summation.delta.millisecond",
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"cpu.latency.average.rate.percent",
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"cpu.coreUtilization.average.rate.percent",
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"mem.usage.average.absolute.percent",
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"mem.swapinRate.average.rate.kiloBytesPerSecond",
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"mem.state.latest.absolute.number",
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"mem.latency.average.absolute.percent",
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"mem.vmmemctl.average.absolute.kiloBytes",
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"disk.read.average.rate.kiloBytesPerSecond",
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"disk.write.average.rate.kiloBytesPerSecond",
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"disk.numberReadAveraged.average.rate.number",
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"disk.numberWriteAveraged.average.rate.number",
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"disk.deviceReadLatency.average.absolute.millisecond",
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"disk.deviceWriteLatency.average.absolute.millisecond",
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"disk.totalReadLatency.average.absolute.millisecond",
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"disk.totalWriteLatency.average.absolute.millisecond",
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"storageAdapter.read.average.rate.kiloBytesPerSecond",
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"storageAdapter.write.average.rate.kiloBytesPerSecond",
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"storageAdapter.numberReadAveraged.average.rate.number",
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"storageAdapter.numberWriteAveraged.average.rate.number",
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"net.errorsRx.summation.delta.number",
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"net.errorsTx.summation.delta.number",
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"net.bytesRx.average.rate.kiloBytesPerSecond",
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"net.bytesTx.average.rate.kiloBytesPerSecond",
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"cpu.used.summation.delta.millisecond",
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"cpu.usage.average.rate.percent",
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"cpu.utilization.average.rate.percent",
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"cpu.wait.summation.delta.millisecond",
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"cpu.idle.summation.delta.millisecond",
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"cpu.readiness.average.rate.percent",
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"cpu.costop.summation.delta.millisecond",
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"cpu.swapwait.summation.delta.millisecond",
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"mem.swapoutRate.average.rate.kiloBytesPerSecond",
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"disk.kernelReadLatency.average.absolute.millisecond",
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"disk.kernelWriteLatency.average.absolute.millisecond"},
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HostMetricExclude: nil,
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VMMetricInclude: []string{
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"cpu.ready.summation.delta.millisecond",
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"mem.swapinRate.average.rate.kiloBytesPerSecond",
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"virtualDisk.numberReadAveraged.average.rate.number",
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"virtualDisk.numberWriteAveraged.average.rate.number",
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"virtualDisk.totalReadLatency.average.absolute.millisecond",
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"virtualDisk.totalWriteLatency.average.absolute.millisecond",
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"virtualDisk.readOIO.latest.absolute.number",
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"virtualDisk.writeOIO.latest.absolute.number",
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"net.bytesRx.average.rate.kiloBytesPerSecond",
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"net.bytesTx.average.rate.kiloBytesPerSecond",
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"net.droppedRx.summation.delta.number",
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"net.droppedTx.summation.delta.number",
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"cpu.run.summation.delta.millisecond",
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"cpu.used.summation.delta.millisecond",
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"mem.swapoutRate.average.rate.kiloBytesPerSecond",
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"virtualDisk.read.average.rate.kiloBytesPerSecond",
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"virtualDisk.write.average.rate.kiloBytesPerSecond"},
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VMMetricExclude: nil,
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DatastoreMetricInclude: []string{
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"disk.used.*",
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"disk.provsioned.*"},
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DatastoreMetricExclude: nil,
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ClientConfig: itls.ClientConfig{InsecureSkipVerify: true},
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MaxQueryObjects: 256,
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ObjectDiscoveryInterval: internal.Duration{Duration: time.Second * 300},
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Timeout: internal.Duration{Duration: time.Second * 20},
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ForceDiscoverOnInit: true,
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}
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}
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func createSim() (*simulator.Model, *simulator.Server, error) {
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model := simulator.VPX()
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err := model.Create()
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if err != nil {
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return nil, nil, err
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}
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model.Service.TLS = new(tls.Config)
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s := model.Service.NewServer()
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//fmt.Printf("Server created at: %s\n", s.URL)
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return model, s, nil
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}
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func TestParseConfig(t *testing.T) {
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v := VSphere{}
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c := v.SampleConfig()
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p := regexp.MustCompile("\n#")
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fmt.Printf("Source=%s", p.ReplaceAllLiteralString(c, "\n"))
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c = configHeader + "\n[[inputs.vsphere]]\n" + p.ReplaceAllLiteralString(c, "\n")
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fmt.Printf("Source=%s", c)
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tab, err := toml.Parse([]byte(c))
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require.NoError(t, err)
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require.NotNil(t, tab)
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}
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func TestWorkerPool(t *testing.T) {
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wp := NewWorkerPool(100)
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ctx := context.Background()
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wp.Run(ctx, func(ctx context.Context, p interface{}) interface{} {
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return p.(int) * 2
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}, 10)
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n := 100000
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wp.Fill(ctx, func(ctx context.Context, f PushFunc) {
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for i := 0; i < n; i++ {
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f(ctx, i)
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}
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})
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results := make([]int, n)
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i := 0
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wp.Drain(ctx, func(ctx context.Context, p interface{}) bool {
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results[i] = p.(int)
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i++
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return true
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})
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sort.Ints(results)
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for i := 0; i < n; i++ {
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require.Equal(t, results[i], i*2)
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}
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}
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func TestAll(t *testing.T) {
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m, s, err := createSim()
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if err != nil {
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t.Fatal(err)
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}
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defer m.Remove()
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defer s.Close()
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var acc testutil.Accumulator
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v := defaultVSphere()
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v.Vcenters = []string{s.URL.String()}
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v.Start(nil) // We're not using the Accumulator, so it can be nil.
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defer v.Stop()
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require.NoError(t, v.Gather(&acc))
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}
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