telegraf: inputs.vsphere, reports duplicate points

Relevant telegraf.conf

[agent]
  ## Default data collection interval for all inputs
  interval = "60s"

# Read metrics from one or many vCenters
[[inputs.vsphere]]
    ## List of vCenter URLs to be monitored. These three lines must be uncommented
  ## and edited for the plugin to work.
  vcenters = [ "https://vcenter.local/sdk" ]
  username = "user@corp.local"
  password = "secret"

  ## VMs
  ## Typical VM metrics (if omitted or empty, all metrics are collected)
  # vm_include = [ "/*/vm/**"] # Inventory path to VMs to collect (by default all are collected)
  # vm_exclude = [] # Inventory paths to exclude
  vm_metric_include = [
    "cpu.demand.average",
    "cpu.idle.summation",
    "cpu.latency.average",
    "cpu.readiness.average",
    "cpu.ready.summation",
    "cpu.run.summation",
    "cpu.usagemhz.average",
    "cpu.used.summation",
    "cpu.wait.summation",
    "mem.active.average",
    "mem.granted.average",
    "mem.latency.average",
    "mem.swapin.average",
    "mem.swapinRate.average",
    "mem.swapout.average",
    "mem.swapoutRate.average",
    "mem.usage.average",
    "mem.vmmemctl.average",
    "net.bytesRx.average",
    "net.bytesTx.average",
    "net.droppedRx.summation",
    "net.droppedTx.summation",
    "net.usage.average",
    "power.power.average",
    "virtualDisk.numberReadAveraged.average",
    "virtualDisk.numberWriteAveraged.average",
    "virtualDisk.read.average",
    "virtualDisk.readOIO.latest",
    "virtualDisk.throughput.usage.average",
    "virtualDisk.totalReadLatency.average",
    "virtualDisk.totalWriteLatency.average",
    "virtualDisk.write.average",
    "virtualDisk.writeOIO.latest",
    "sys.uptime.latest",
  ]
  # vm_metric_exclude = [] ## Nothing is excluded by default
  # vm_instances = true ## true by default

  ## Hosts
  ## Typical host metrics (if omitted or empty, all metrics are collected)
  # host_include = [ "/*/host/**"] # Inventory path to hosts to collect (by default all are collected)
  # host_exclude [] # Inventory paths to exclude
  host_metric_include = [
    "cpu.coreUtilization.average",
    "cpu.costop.summation",
    "cpu.demand.average",
    "cpu.idle.summation",
    "cpu.latency.average",
    "cpu.readiness.average",
    "cpu.ready.summation",
    "cpu.swapwait.summation",
    "cpu.usage.average",
    "cpu.usagemhz.average",
    "cpu.used.summation",
    "cpu.utilization.average",
    "cpu.wait.summation",
    "disk.deviceReadLatency.average",
    "disk.deviceWriteLatency.average",
    "disk.kernelReadLatency.average",
    "disk.kernelWriteLatency.average",
    "disk.numberReadAveraged.average",
    "disk.numberWriteAveraged.average",
    "disk.read.average",
    "disk.totalReadLatency.average",
    "disk.totalWriteLatency.average",
    "disk.write.average",
    "mem.active.average",
    "mem.latency.average",
    "mem.state.latest",
    "mem.swapin.average",
    "mem.swapinRate.average",
    "mem.swapout.average",
    "mem.swapoutRate.average",
    "mem.totalCapacity.average",
    "mem.usage.average",
    "mem.vmmemctl.average",
    "net.bytesRx.average",
    "net.bytesTx.average",
    "net.droppedRx.summation",
    "net.droppedTx.summation",
    "net.errorsRx.summation",
    "net.errorsTx.summation",
    "net.usage.average",
    "power.power.average",
    "storageAdapter.numberReadAveraged.average",
    "storageAdapter.numberWriteAveraged.average",
    "storageAdapter.read.average",
    "storageAdapter.write.average",
    "sys.uptime.latest",
  ]
    ## Collect IP addresses? Valid values are "ipv4" and "ipv6"
  # ip_addresses = ["ipv6", "ipv4" ]

  # host_metric_exclude = [] ## Nothing excluded by default
  # host_instances = true ## true by default


  ## Clusters
  # cluster_include = [ "/*/host/**"] # Inventory path to clusters to collect (by default all are collected)
  # cluster_exclude = [] # Inventory paths to exclude
  # cluster_metric_include = [] ## if omitted or empty, all metrics are collected
  # cluster_metric_exclude = [] ## Nothing excluded by default
  # cluster_instances = false ## false by default

  ## Resource Pools
  # datastore_include = [ "/*/host/**"] # Inventory path to datastores to collect (by default all are collected)
  # datastore_exclude = [] # Inventory paths to exclude
  # datastore_metric_include = [] ## if omitted or empty, all metrics are collected
  # datastore_metric_exclude = [] ## Nothing excluded by default
  # datastore_instances = false ## false by default

    ## Datastores
  # datastore_include = [ "/*/datastore/**"] # Inventory path to datastores to collect (by default all are collected)
  # datastore_exclude = [] # Inventory paths to exclude
  # datastore_metric_include = [] ## if omitted or empty, all metrics are collected
  # datastore_metric_exclude = [] ## Nothing excluded by default
  # datastore_instances = false ## false by default

  ## Datacenters
  # datacenter_include = [ "/*/host/**"] # Inventory path to clusters to collect (by default all are collected)
  # datacenter_exclude = [] # Inventory paths to exclude
  datacenter_metric_include = [] ## if omitted or empty, all metrics are collected
  datacenter_metric_exclude = [ "*" ] ## Datacenters are not collected by default.
  # datacenter_instances = false ## false by default

  ## Plugin Settings
  ## separator character to use for measurement and field names (default: "_")
  # separator = "_"

  ## number of objects to retrieve per query for realtime resources (vms and hosts)
  ## set to 64 for vCenter 5.5 and 6.0 (default: 256)
  # max_query_objects = 256

  ## number of metrics to retrieve per query for non-realtime resources (clusters and datastores)
  ## set to 64 for vCenter 5.5 and 6.0 (default: 256)
  # max_query_metrics = 256

  ## number of go routines to use for collection and discovery of objects and metrics
  # collect_concurrency = 1
  # discover_concurrency = 1

  ## the interval before (re)discovering objects subject to metrics collection (default: 300s)
  # object_discovery_interval = "300s"

  ## timeout applies to any of the api request made to vcenter
  # timeout = "60s"

  ## When set to true, all samples are sent as integers. This makes the output
  ## data types backwards compatible with Telegraf 1.9 or lower. Normally all
  ## samples from vCenter, with the exception of percentages, are integer
  ## values, but under some conditions, some averaging takes place internally in
  ## the plugin. Setting this flag to "false" will send values as floats to
  ## preserve the full precision when averaging takes place.
  # use_int_samples = true

  ## The number of vSphere 5 minute metric collection cycles to look back for non-realtime metrics. In 
  ## some versions (6.7, 7.0 and possible more), certain metrics, such as cluster metrics, may be reported
  ## with a significant delay (>30min). If this happens, try increasing this number. Please note that increasing
  ## it too much may cause performance issues.
  # metric_lookback = 3

  ## Custom attributes from vCenter can be very useful for queries in order to slice the
  ## metrics along different dimension and for forming ad-hoc relationships. They are disabled
  ## by default, since they can add a considerable amount of tags to the resulting metrics. To
  ## enable, simply set custom_attribute_exclude to [] (empty set) and use custom_attribute_include
  ## to select the attributes you want to include.
  ## By default, since they can add a considerable amount of tags to the resulting metrics. To
  ## enable, simply set custom_attribute_exclude to [] (empty set) and use custom_attribute_include
  ## to select the attributes you want to include.
  # custom_attribute_include = []
  # custom_attribute_exclude = ["*"]

  ## Optional SSL Config
  # ssl_ca = "/path/to/cafile"
  # ssl_cert = "/path/to/certfile"
  # ssl_key = "/path/to/keyfile"
  ## Use SSL but skip chain & host verification
  # insecure_skip_verify = false

Logs from Telegraf

No relevant logs

System info

Telegraf v1.22.4

Docker

No response

Steps to reproduce

1. Set interval = “60s” in agent
2. Enable the Vsphere input plugin with default settings
3. Run the telegraf for 5 min

Expected behavior

There should not be any duplicate points

Actual behavior

Nearly 10 % of points are being duplicate

Additional info

This is the function which creates duplicate points as we are adjusting the time here. https://github.com/influxdata/telegraf/blob/master/plugins/inputs/vsphere/endpoint.go#L1104