Python Example of Listing Storage Consumption By Data Type in vCenter Server

This example shows how to use the Monitoring interface to break down database usage by data type. The example requests the individual data types that you can also query as a composite metric for all storage used by Alarms, Statistics, Events, and Tasks in the vCenter Server instance.

from com.vmware import appliance_client
import datetime

# This example assumes you have previously created a session
# and stored the session ID in my_stub_config.

# Prepare request for chosen data types.
req = appliance_client.Monitoring.MonitoredItemDataRequest()
req.interval = appliance_client.Monitoring.IntervalType.MINUTES30
req.function = appliance_client.Monitoring.FunctionType.MAX
d_now = datetime.datetime.utcnow()
req.start_time = d_now - datetime.timedelta( minutes=30 )
req.end_time = d_now
mon = {'storage.totalsize.directory.vcdb_hourly_stats' :
         'Hourly stats',
       'storage.totalsize.directory.vcdb_daily_stats' :
         'Daily stats',
       'storage.totalsize.directory.vcdb_monthly_stats' :
         'Monthly stats',
       'storage.totalsize.directory.vcdb_yearly_stats' :
         'Yearly stats',
       'storage.totalsize.directory.vcdb_events' :
         'Events',
       'storage.totalsize.directory.vcdb_alarms' :
         'Alarms',
       'storage.totalsize.directory.vcdb_tasks' :
         'Tasks'}

req.names = []
for item in mon.keys() :
   req.names.append( item )

# Issue request.
Monitoring_stub = appliance_client.Monitoring( my_stub_config )
resp = Monitoring_stub.query( req )

# Assemble data from response.
out = {}
for metric in resp :
  # Discard empty data points:
  stat = ''
  while (stat == '') :
    stat = metric.data.pop()
  stat = int(stat)
  out[mon[metric.name]] = stat

# Format and print statistics.
for label in sorted( out.keys() ) :
  print( '{0:15s}: {1:8d} KB'.format( label, out[label] ) )