def all(self, hostId, graph=False):
hostId, hostUiName = hosts.ensureHostIdAndUIShortname(hostId)
graph_list = None
all_sprocs = None
if not graph:
all_sprocs = sprocdata.getAllActiveSprocNames(hostId)
else:
sprocs = self.get_data(hostId)
graph_list = []
i = 0
for s in sprocs:
print ('s')
print (s)
d = sprocdata.getSingleSprocData(hostId, s, "('now'::timestamp - '4 days'::interval)")
i += 1
graph= flotgraph.TimeGraph("graph"+str(i))
graph.addSeries('Avg.', 'avg')
for p in d['avg_time']:
graph.addPoint('avg', int(time.mktime(p[0].timetuple()) * 1000) , p[1])
graph_list.append( {'graph': graph.render() , 'name': s[0:s.find("(")] , 'i': i } )
tpl = tplE.env.get_template('all_sprocs.html')
return tpl.render(graphs=graph_list,
hostuiname = hostUiName,
hostname = hosts.getHostData()[int(hostId)]['uilongname'],
all_sprocs = all_sprocs)
def allgraph(self, hostId):
hostId, hostUiName = hosts.ensureHostIdAndUIShortname(hostId)
sprocs = self.get_data(hostId)
tpl = tplE.env.get_template('all_sprocs.html')
list = []
i = 0
for s in sprocs:
d = sprocdata.getSingleSprocData(
hostId, s, "('now'::timestamp - '4 days'::interval)")
i += 1
graph = flotgraph.TimeGraph("graph" + str(i))
graph.addSeries('Avg.', 'avg')
for p in d['avg_time']:
graph.addPoint('avg',
int(time.mktime(p[0].timetuple()) * 1000), p[1])
list.append({
'graph': graph.render(),
'name': s[0:s.find("(")],
'i': i
})
return tpl.render(
graphs=list,
hostuiname=hostUiName,
hostname=hosts.getHostData()[int(hostId)]['uilongname'],
all_sprocs=None)
def raw(self, host, limit=10): # raw should contain all data to build up the page dynamically for example
hostId, host_ui_name = hosts.ensureHostIdAndUIShortname(host)
cpuload = topsprocs.getCpuLoad(hostId)
load = topsprocs.getLoad(hostId)
walvolumes = topsprocs.getWalVolumes(hostId)
blocked_processes = topsprocs.getBlockedProcessesCounts(hostId)
sizes = tabledata.getDatabaseSizes(hostId)
dbstats = reportdata.getDatabaseStatistics(hostId)
result = {'load': load, 'cpuload': cpuload, 'walvolumes': walvolumes, 'blocked_processes': blocked_processes, 'sizes': sizes, 'dbstats': dbstats}
return result
def graph(self, hostuiname, query_id, **params):
hostid, hostuiname = hosts.ensureHostIdAndUIShortname(hostuiname)
from_date = params.get('from_date', (datetime.datetime.now() - datetime.timedelta(1)).strftime('%Y-%m-%d'))
to_date = params.get('to_date', (datetime.datetime.now() + datetime.timedelta(1)).strftime('%Y-%m-%d'))
data = reportdata.getStatStatementsGraph(hostid, query_id, from_date, to_date)
graphcalls = flotgraph.Graph("graphcalls")
graphcalls.addSeries('Number of calls', 'calls')
graphavgruntime = flotgraph.Graph("graphavgruntime")
graphavgruntime.addSeries('Avg. runtime', 'avgruntime')
graphruntime = flotgraph.Graph("graphruntime")
graphruntime.addSeries('Runtime', 'runtime')
graphblocksread = flotgraph.Graph("graphblocksread")
graphblocksread.addSeries('Blocks read', 'blocksread')
graphblocksread.addSeries('Temp blocks read', 'tempblocksread', '#FFFF00')
graphblockswritten = flotgraph.Graph("graphblockswritten")
graphblockswritten.addSeries('Blocks written', 'blockswritten')
graphblockswritten.addSeries('Temp blocks written', 'tempblockswritten', '#FFFF00')
prev_row = None
for d in data:
if prev_row is None:
prev_row = d
continue
calls = d['calls'] - prev_row['calls']
graphcalls.addPoint('calls', int(time.mktime(d['timestamp'].timetuple()) * 1000), calls)
runtime = d['total_time'] - prev_row['total_time']
graphruntime.addPoint('runtime', int(time.mktime(d['timestamp'].timetuple()) * 1000), runtime)
avg_runtime = round(runtime / float(calls), 2) if calls > 0 else 0
graphavgruntime.addPoint('avgruntime', int(time.mktime(d['timestamp'].timetuple()) * 1000), avg_runtime)
graphblocksread.addPoint('blocksread', int(time.mktime(d['timestamp'].timetuple()) * 1000), d['blks_read'] - prev_row['blks_read'])
graphblocksread.addPoint('tempblocksread', int(time.mktime(d['timestamp'].timetuple()) * 1000), d['temp_blks_read'] - prev_row['temp_blks_read'])
graphblockswritten.addPoint('blockswritten', int(time.mktime(d['timestamp'].timetuple()) * 1000), d['blks_written'] - prev_row['blks_written'])
graphblockswritten.addPoint('tempblockswritten', int(time.mktime(d['timestamp'].timetuple()) * 1000), d['temp_blks_written'] - prev_row['temp_blks_written'])
prev_row = d
table = tplE.env.get_template('perf_stat_statements_detailed.html')
return table.render(hostuiname=hostuiname,
query = prev_row['query'],
query_id = prev_row['query_id'],
graphcalls=graphcalls.render(),
graphavgruntime=graphavgruntime.render(),
graphruntime=graphruntime.render(),
graphblocksread=graphblocksread.render(),
graphblockswritten=graphblockswritten.render(),
from_date=from_date, to_date=to_date)
def graph(self, hostuiname, query_id, **params):
hostid, hostuiname = hosts.ensureHostIdAndUIShortname(hostuiname)
from_date = params.get('from_date', (datetime.datetime.now() - datetime.timedelta(1)).strftime('%Y-%m-%d'))
to_date = params.get('to_date', (datetime.datetime.now() + datetime.timedelta(1)).strftime('%Y-%m-%d'))
data = reportdata.getStatStatementsGraph(hostid, query_id, from_date, to_date)
graphcalls = flotgraph.Graph("graphcalls")
graphcalls.addSeries('Number of calls', 'calls')
graphavgruntime = flotgraph.TimeGraph("graphavgruntime")
graphavgruntime.addSeries('Avg. runtime', 'avgruntime')
graphruntime = flotgraph.TimeGraph("graphruntime")
graphruntime.addSeries('Runtime', 'runtime')
graphblocksread = flotgraph.Graph("graphblocksread")
graphblocksread.addSeries('Blocks read', 'blocksread')
graphblocksread.addSeries('Temp blocks read', 'tempblocksread', '#FFFF00')
graphblockswritten = flotgraph.Graph("graphblockswritten")
graphblockswritten.addSeries('Blocks written', 'blockswritten')
graphblockswritten.addSeries('Temp blocks written', 'tempblockswritten', '#FFFF00')
prev_row = None
for d in data:
if prev_row is None:
prev_row = d
continue
calls = d['calls'] - prev_row['calls']
graphcalls.addPoint('calls', int(time.mktime(d['timestamp'].timetuple()) * 1000), calls)
runtime = d['total_time'] - prev_row['total_time']
graphruntime.addPoint('runtime', int(time.mktime(d['timestamp'].timetuple()) * 1000), runtime)
avg_runtime = round(runtime / float(calls), 2) if calls > 0 else 0
graphavgruntime.addPoint('avgruntime', int(time.mktime(d['timestamp'].timetuple()) * 1000), avg_runtime)
graphblocksread.addPoint('blocksread', int(time.mktime(d['timestamp'].timetuple()) * 1000), d['blks_read'] - prev_row['blks_read'])
graphblocksread.addPoint('tempblocksread', int(time.mktime(d['timestamp'].timetuple()) * 1000), d['temp_blks_read'] - prev_row['temp_blks_read'])
graphblockswritten.addPoint('blockswritten', int(time.mktime(d['timestamp'].timetuple()) * 1000), d['blks_written'] - prev_row['blks_written'])
graphblockswritten.addPoint('tempblockswritten', int(time.mktime(d['timestamp'].timetuple()) * 1000), d['temp_blks_written'] - prev_row['temp_blks_written'])
prev_row = d
table = tplE.env.get_template('perf_stat_statements_detailed.html')
return table.render(hostuiname=hostuiname,
query = prev_row['query'],
query_id = prev_row['query_id'],
graphcalls=graphcalls.render(),
graphavgruntime=graphavgruntime.render(),
graphruntime=graphruntime.render(),
graphblocksread=graphblocksread.render(),
graphblockswritten=graphblockswritten.render(),
from_date=from_date, to_date=to_date)
def all(self, hostId, active_days=4, graph=False):
hostId, hostUiName = hosts.ensureHostIdAndUIShortname(hostId)
graph_list = []
all_sprocs = None
if not graph:
all_sprocs = sprocdata.getAllActiveSprocNames(hostId, active_days)
else:
sprocs = self.get_data(hostId)
i = 0
for s in sprocs:
d = sprocdata.getSingleSprocData(
hostId, s,
"('now'::timestamp - '{} days'::interval)".format(
active_days))
i += 1
graph = flotgraph.TimeGraph("graph" + str(i))
graph.addSeries('Avg.', 'avg')
for p in d['avg_time']:
graph.addPoint('avg',
int(time.mktime(p[0].timetuple()) * 1000),
p[1])
graph_list.append({
'graph': graph.render(),
'name': s[0:s.find("(")],
'i': i
})
tpl = tplE.env.get_template('all_sprocs.html')
return tpl.render(
graphs=graph_list,
hostuiname=hostUiName,
hostname=hosts.getHostData()[int(hostId)]['uilongname'],
active_days=active_days,
all_sprocs=all_sprocs)
def raw(
self,
host,
limit=10
): # raw should contain all data to build up the page dynamically for example
hostId, host_ui_name = hosts.ensureHostIdAndUIShortname(host)
cpuload = topsprocs.getCpuLoad(hostId)
load = topsprocs.getLoad(hostId)
walvolumes = topsprocs.getWalVolumes(hostId)
blocked_processes = topsprocs.getBlockedProcessesCounts(hostId)
sizes = tabledata.getDatabaseSizes(hostId)
dbstats = reportdata.getDatabaseStatistics(hostId)
result = {
'load': load,
'cpuload': cpuload,
'walvolumes': walvolumes,
'blocked_processes': blocked_processes,
'sizes': sizes,
'dbstats': dbstats,
}
return result
def default(self, hostId = None):
hostId, hostUiName = hosts.ensureHostIdAndUIShortname(max(hostId, self.hostId))
days = cherrypy.request.cookie['days'].value if 'days' in cherrypy.request.cookie else '8'
sprocs_to_show = int(cherrypy.request.cookie['sprocs_to_show'].value) if 'sprocs_to_show' in cherrypy.request.cookie else 10
graph_load = None
graph_wal = None
graph_size = None
graph_dbstats = None
top_sprocs = None
if tplE._settings['show_load']:
graph_load = flotgraph.Graph("graph_load","left",30)
graph_load.addSeries('CPU Load 15min avg','acpu_15min_avg','#FF0000')
cpuload = topsprocs.getCpuLoad(hostId, days)
for p in cpuload['load_15min_avg']:
graph_load.addPoint('acpu_15min_avg', int(time.mktime(p[0].timetuple()) * 1000) , p[1])
load = topsprocs.getLoad(hostId, days)
graph_load.addSeries('Sproc Load 15 min', 'load_15min')
for p in load['load_15min']:
graph_load.addPoint('load_15min', int(time.mktime(p[0].timetuple()) * 1000) , p[1])
graph_load = graph_load.render()
if tplE._settings['show_wal']:
graph_wal = flotgraph.Graph("graph_wal", "left", 30)
graph_wal.addSeries('WAL vol. 15 min (in MB)', 'wal_15min')
walvolumes = topsprocs.getWalVolumes(hostId, days)
for p in walvolumes['wal_15min_growth']:
graph_wal.addPoint('wal_15min', int(time.mktime(p[0].timetuple()) * 1000) , p[1])
if hosts.isHostFeatureEnabled(hostId, 'blockingStatsGatherInterval'):
blocked_processes = topsprocs.getBlockedProcessesCounts(hostId, days)
graph_wal.addSeries('#Blocked processes (> 5s)', 'blocked_processes', '#FF0000', None, 2)
for p in blocked_processes:
if len(walvolumes['wal_15min_growth']) > 0 \
and p[0].timetuple() >= walvolumes['wal_15min_growth'][0][0].timetuple(): # aligning timeline with WAL data
graph_wal.addPoint('blocked_processes', int(time.mktime(p[0].timetuple()) * 1000), p[1])
graph_wal = graph_wal.render()
if tplE._settings['show_db_size']:
graph_size = flotgraph.SizeGraph("graph_size")
sizes = tabledata.getDatabaseSizes(hostId, days)
if hostId in sizes:
tabledata.fillGraph(graph_size,sizes[hostId])
graph_size = graph_size.render()
if tplE._settings['show_db_stats']:
dbstats = reportdata.getDatabaseStatistics(hostId, days)
if len(dbstats) > 0:
graph_dbstats = flotgraph.SizeGraph("graph_dbstats")
graph_dbstats.addSeries('Temp bytes written', 'temp_files_bytes')
graph_dbstats.addSeries('#Backends / 10', 'numbackends', '#C0C0C0', None, 2)
graph_dbstats.addSeries('#Deadlocks', 'deadlocks', '#FF0000', None, 2)
graph_dbstats.addSeries('#Rollbacks [incl. exceptions]', 'rollbacks', '#FFFF00', None, 2)
for d in dbstats:
timestamp = int(time.mktime(d['timestamp'].timetuple()) * 1000)
graph_dbstats.addPoint('temp_files_bytes', timestamp, d['temp_files_bytes'])
graph_dbstats.addPoint('deadlocks', timestamp, d['deadlocks'])
graph_dbstats.addPoint('numbackends', timestamp, d['numbackends'] / 10.0)
graph_dbstats.addPoint('rollbacks', timestamp, d['rollbacks'])
graph_dbstats = graph_dbstats.render()
if tplE._settings['show_top_sprocs']:
top_sprocs = {}
top_sprocs['hours1avg'] = self.renderTop10LastHours(topsprocs.avgRuntimeOrder,1, hostId, sprocs_to_show)
top_sprocs['hours3avg'] = self.renderTop10LastHours(topsprocs.avgRuntimeOrder,3, hostId, sprocs_to_show)
top_sprocs['hours1total'] = self.renderTop10LastHours(topsprocs.totalRuntimeOrder,1, hostId,sprocs_to_show)
top_sprocs['hours3total'] = self.renderTop10LastHours(topsprocs.totalRuntimeOrder,3, hostId,sprocs_to_show)
top_sprocs['hours1calls'] = self.renderTop10LastHours(topsprocs.totalCallsOrder,1, hostId,sprocs_to_show)
top_sprocs['hours3calls'] = self.renderTop10LastHours(topsprocs.totalCallsOrder,3, hostId,sprocs_to_show)
tmpl = tplE.env.get_template('index.html')
return tmpl.render(hostid=hostId,
hostname=hosts.getHostnameByHostId(hostId),
hostuiname=hostUiName,
graph_load=graph_load,
graph_wal=graph_wal,
graph_size=graph_size,
graph_dbstats=graph_dbstats,
top_sprocs=top_sprocs,
limit=sprocs_to_show,
features=hosts.getActiveFeatures(hostId),
target='World')
def default(self, *p, **params):
if len(p) == 0:
return """Error: Not enough URL parameters. Hostname needed"""
hostId, hostName = hosts.ensureHostIdAndUIShortname(p[0])
sprocName = None
if len(p) > 1:
sprocName = p[1]
if params.get('search'):
sprocName = params.get('sproc_search')
url = '/sprocs/show/' + hostName + '/' + sprocName
raise cherrypy.HTTPRedirect(cherrypy.url(url))
interval = {}
interval['from'] = params.get('from',(datetime.datetime.now() - datetime.timedelta(days=8)).strftime('%Y-%m-%d'))
interval['to'] = params.get('to',(datetime.datetime.now() + datetime.timedelta(days=1)).strftime('%Y-%m-%d'))
graphcalls= flotgraph.Graph("graphcalls")
graphcalls.addSeries('Number of calls', 'calls')
graphtime= flotgraph.TimeGraph("graphruntime")
graphtime.addSeries('Total run time', 'runtime')
graphavg= flotgraph.TimeGraph("graphavg")
graphavg.addSeries('Average run time', 'avg')
graphavgself= flotgraph.TimeGraph("graphselfavg")
graphavgself.addSeries('Average self time', 'avgself')
data = sprocdata.getSingleSprocData(hostId, sprocName, interval)
if data['name']: # None if no data for sproc found
for p in data['total_time']:
graphtime.addPoint('runtime', int(time.mktime(p[0].timetuple()) * 1000) , p[1])
for p in data['calls']:
graphcalls.addPoint('calls', int(time.mktime(p[0].timetuple()) * 1000) , p[1])
for p in data['avg_time']:
graphavg.addPoint('avg', int(time.mktime(p[0].timetuple()) * 1000) , p[1])
for p in data['avg_self_time']:
graphavgself.addPoint('avgself', int(time.mktime(p[0].timetuple()) * 1000), p[1])
sproc_name_wo_params = data['name'] if data['name'].find('(') == -1 else data['name'][0:data['name'].find('(')]
sproc_params = "" if data['name'].find('(') == -1 else data['name'][data['name'].find('(')+1:-1]
all_sprocs = sprocdata.getAllActiveSprocNames(hostId)
table = tplE.env.get_template('sproc_detail.html')
return table.render(hostid = hostId,
hostname = hosts.getHostData()[int(hostId)]['uilongname'],
hostuiname = hostName,
name_w_params = data['name'] ,
params = sproc_params if data['name'] else None,
name_wo_params = sproc_name_wo_params if data['name'] else None,
interval = interval,
sproc_name = sprocName,
all_sprocs = all_sprocs,
all_sprocs_json = json.dumps(all_sprocs),
graphavg = graphavg.render(),
graphselfavg = graphavgself.render(),
graphcalls = graphcalls.render(),
graphruntime = graphtime.render())
def default(self, *p, **params):
if len(p) == 0:
return """Error: Not enough URL parameters. Hostname needed"""
hostId, hostName = hosts.ensureHostIdAndUIShortname(p[0])
sprocName = None
if len(p) > 1:
sprocName = p[1]
if params.get('search'):
sprocName = params.get('sproc_search')
url = '/sprocs/show/' + hostName + '/' + sprocName
raise cherrypy.HTTPRedirect(cherrypy.url(url))
interval = {}
interval['from'] = params.get(
'from', (datetime.datetime.now() -
datetime.timedelta(days=8)).strftime('%Y-%m-%d'))
interval['to'] = params.get(
'to', (datetime.datetime.now() +
datetime.timedelta(days=1)).strftime('%Y-%m-%d'))
graphcalls = flotgraph.Graph("graphcalls")
graphcalls.addSeries('Number of calls', 'calls')
graphtime = flotgraph.TimeGraph("graphruntime")
graphtime.addSeries('Total run time', 'runtime')
graphavg = flotgraph.TimeGraph("graphavg")
graphavg.addSeries('Average run time', 'avg')
graphavgself = flotgraph.TimeGraph("graphselfavg")
graphavgself.addSeries('Average self time', 'avgself')
data = sprocdata.getSingleSprocData(hostId, sprocName, interval)
if data['name']: # None if no data for sproc found
for p in data['total_time']:
graphtime.addPoint('runtime',
int(time.mktime(p[0].timetuple()) * 1000),
p[1])
for p in data['calls']:
graphcalls.addPoint('calls',
int(time.mktime(p[0].timetuple()) * 1000),
p[1])
for p in data['avg_time']:
graphavg.addPoint('avg',
int(time.mktime(p[0].timetuple()) * 1000),
p[1])
for p in data['avg_self_time']:
graphavgself.addPoint(
'avgself', int(time.mktime(p[0].timetuple()) * 1000), p[1])
sproc_name_wo_params = data['name'] if data['name'].find(
'(') == -1 else data['name'][0:data['name'].find('(')]
sproc_params = "" if data['name'].find(
'(') == -1 else data['name'][data['name'].find('(') + 1:-1]
all_sprocs = sprocdata.getAllActiveSprocNames(hostId)
table = tplE.env.get_template('sproc_detail.html')
return table.render(
hostid=hostId,
hostname=hosts.getHostData()[int(hostId)]['uilongname'],
hostuiname=hostName,
name_w_params=data['name'],
params=sproc_params if data['name'] else None,
name_wo_params=sproc_name_wo_params if data['name'] else None,
interval=interval,
sproc_name=sprocName,
all_sprocs=all_sprocs,
all_sprocs_json=json.dumps(all_sprocs),
graphavg=graphavg.render(),
graphselfavg=graphavgself.render(),
graphcalls=graphcalls.render(),
graphruntime=graphtime.render())
def default(self, hostId):
hostId, hostUiName = hosts.ensureHostIdAndUIShortname(
max(hostId, hostId))
days = (cherrypy.request.cookie['days'].value
if 'days' in cherrypy.request.cookie else '8')
sprocs_to_show = (int(cherrypy.request.cookie['sprocs_to_show'].value)
if 'sprocs_to_show' in cherrypy.request.cookie else
10)
graph_load = None
graph_wal = None
graph_size = None
graph_dbstats = None
top_sprocs = None
top_statements = None
graph_checkpoint = None
global_announcement = reportdata.getGetActiveFrontendAnnouncementIfAny(
) # fyi - no escaping is performed deliberately
if tplE._settings.get('show_load', True):
graph_load = flotgraph.Graph('graph_load', 'left', 30)
graph_load.addSeries('CPU Load 15min avg', 'acpu_15min_avg',
'#FF0000')
cpuload = topsprocs.getCpuLoad(hostId, days)
for p in cpuload['load_15min_avg']:
graph_load.addPoint('acpu_15min_avg',
int(time.mktime(p[0].timetuple()) * 1000),
p[1])
load = topsprocs.getLoad(hostId, days)
graph_load.addSeries('Sproc Load 15 min', 'load_15min')
for p in load['load_15min']:
graph_load.addPoint('load_15min',
int(time.mktime(p[0].timetuple()) * 1000),
p[1])
graph_load = graph_load.render()
if tplE._settings.get('show_wal', True):
graph_wal = flotgraph.Graph('graph_wal', 'left', 30)
graph_wal.addSeries('WAL vol. 15 min (in MB)', 'wal_15min')
walvolumes = topsprocs.getWalVolumes(hostId, days)
for p in walvolumes['wal_15min_growth']:
graph_wal.addPoint('wal_15min',
int(time.mktime(p[0].timetuple()) * 1000),
p[1])
if hosts.isHostFeatureEnabled(hostId,
'blockingStatsGatherInterval'):
blocked_processes = topsprocs.getBlockedProcessesCounts(
hostId, days)
graph_wal.addSeries('#Blocked processes (> 5s)',
'blocked_processes', '#FF0000', None, 2)
for p in blocked_processes:
if len(walvolumes['wal_15min_growth']
) > 0 and p[0].timetuple(
) >= walvolumes['wal_15min_growth'][0][0].timetuple(
): # aligning timeline with WAL data
graph_wal.addPoint(
'blocked_processes',
int(time.mktime(p[0].timetuple()) * 1000), p[1])
graph_wal = graph_wal.render()
if tplE._settings.get('show_db_size', True):
graph_size = flotgraph.SizeGraph('graph_size')
sizes = tabledata.getDatabaseSizes(hostId, days)
if hostId in sizes:
tabledata.fillGraph(graph_size, sizes[hostId])
graph_size = graph_size.render()
if tplE._settings.get('show_db_stats', True):
dbstats = reportdata.getDatabaseStatistics(hostId, days)
if len(dbstats) > 0:
graph_dbstats = flotgraph.SizeGraph('graph_dbstats')
graph_dbstats.addSeries('Temp bytes written',
'temp_files_bytes')
graph_dbstats.addSeries('#Backends / 10', 'numbackends',
'#C0C0C0', None, 2)
graph_dbstats.addSeries('#Deadlocks', 'deadlocks', '#FF0000',
None, 2)
graph_dbstats.addSeries('#Rollbacks [incl. exceptions]',
'rollbacks', '#FFFF00', None, 2)
for d in dbstats:
timestamp = int(
time.mktime(d['timestamp'].timetuple()) * 1000)
graph_dbstats.addPoint('temp_files_bytes', timestamp,
d['temp_files_bytes'])
graph_dbstats.addPoint('deadlocks', timestamp,
d['deadlocks'])
graph_dbstats.addPoint('numbackends', timestamp,
d['numbackends'] / 10.0)
graph_dbstats.addPoint('rollbacks', timestamp,
d['rollbacks'])
graph_dbstats = graph_dbstats.render()
if tplE._settings.get('show_top_sprocs', True):
top_sprocs = {}
top_sprocs['hours1avg'] = self.renderTop10LastHours(
topsprocs.avgRuntimeOrder, 1, hostId, sprocs_to_show)
top_sprocs['hours3avg'] = self.renderTop10LastHours(
topsprocs.avgRuntimeOrder, 3, hostId, sprocs_to_show)
top_sprocs['hours1total'] = self.renderTop10LastHours(
topsprocs.totalRuntimeOrder, 1, hostId, sprocs_to_show)
top_sprocs['hours3total'] = self.renderTop10LastHours(
topsprocs.totalRuntimeOrder, 3, hostId, sprocs_to_show)
top_sprocs['hours1calls'] = self.renderTop10LastHours(
topsprocs.totalCallsOrder, 1, hostId, sprocs_to_show)
top_sprocs['hours3calls'] = self.renderTop10LastHours(
topsprocs.totalCallsOrder, 3, hostId, sprocs_to_show)
if tplE._settings.get('show_top_statements', False):
top_statements = {}
tsd = topstatements.getTopStatementsData(hostId,
interval1='3hours',
interval2='1hours',
limit=sprocs_to_show)
if tsd:
top_statements[
'hours1avg'] = self.renderTop10StatementsLastHours(
hostId, tsd.get('avg_int2', []))
top_statements[
'hours3avg'] = self.renderTop10StatementsLastHours(
hostId, tsd.get('avg_int1', []))
top_statements[
'hours1total'] = self.renderTop10StatementsLastHours(
hostId, tsd.get('total_int2', []))
top_statements[
'hours3total'] = self.renderTop10StatementsLastHours(
hostId, tsd.get('total_int1', []))
top_statements[
'hours1calls'] = self.renderTop10StatementsLastHours(
hostId, tsd.get('calls_int2', []))
top_statements[
'hours3calls'] = self.renderTop10StatementsLastHours(
hostId, tsd.get('calls_int1', []))
if tplE._settings.get('show_bgwriter_stats', True):
graph_checkpoint = self.get_rendered_bgwriter_graph(
hostId, int(days))
tmpl = tplE.env.get_template('index.html')
return tmpl.render(
hostid=hostId,
hostname=hosts.getHostnameByHostId(hostId),
hostuiname=hostUiName,
graph_load=graph_load,
graph_wal=graph_wal,
graph_size=graph_size,
graph_dbstats=graph_dbstats,
graph_checkpoint=graph_checkpoint,
top_sprocs=top_sprocs,
top_statements=top_statements,
limit=sprocs_to_show,
features=hosts.getActiveFeatures(hostId),
global_announcement=global_announcement,
target='World',
)
def default(self, hostId):
hostId, hostUiName = hosts.ensureHostIdAndUIShortname(max(hostId, hostId))
days = cherrypy.request.cookie["days"].value if "days" in cherrypy.request.cookie else "8"
sprocs_to_show = (
int(cherrypy.request.cookie["sprocs_to_show"].value) if "sprocs_to_show" in cherrypy.request.cookie else 10
)
graph_load = None
graph_wal = None
graph_size = None
graph_dbstats = None
top_sprocs = None
top_statements = None
graph_checkpoint = None
global_announcement = (
reportdata.getGetActiveFrontendAnnouncementIfAny()
) # fyi - no escaping is performed deliberately
if tplE._settings.get("show_load", True):
graph_load = flotgraph.Graph("graph_load", "left", 30)
graph_load.addSeries("CPU Load 15min avg", "acpu_15min_avg", "#FF0000")
cpuload = topsprocs.getCpuLoad(hostId, days)
for p in cpuload["load_15min_avg"]:
graph_load.addPoint("acpu_15min_avg", int(time.mktime(p[0].timetuple()) * 1000), p[1])
load = topsprocs.getLoad(hostId, days)
graph_load.addSeries("Sproc Load 15 min", "load_15min")
for p in load["load_15min"]:
graph_load.addPoint("load_15min", int(time.mktime(p[0].timetuple()) * 1000), p[1])
graph_load = graph_load.render()
if tplE._settings.get("show_wal", True):
graph_wal = flotgraph.Graph("graph_wal", "left", 30)
graph_wal.addSeries("WAL vol. 15 min (in MB)", "wal_15min")
walvolumes = topsprocs.getWalVolumes(hostId, days)
for p in walvolumes["wal_15min_growth"]:
graph_wal.addPoint("wal_15min", int(time.mktime(p[0].timetuple()) * 1000), p[1])
if hosts.isHostFeatureEnabled(hostId, "blockingStatsGatherInterval"):
blocked_processes = topsprocs.getBlockedProcessesCounts(hostId, days)
graph_wal.addSeries("#Blocked processes (> 5s)", "blocked_processes", "#FF0000", None, 2)
for p in blocked_processes:
if (
len(walvolumes["wal_15min_growth"]) > 0
and p[0].timetuple() >= walvolumes["wal_15min_growth"][0][0].timetuple()
): # aligning timeline with WAL data
graph_wal.addPoint("blocked_processes", int(time.mktime(p[0].timetuple()) * 1000), p[1])
graph_wal = graph_wal.render()
if tplE._settings.get("show_db_size", True):
graph_size = flotgraph.SizeGraph("graph_size")
sizes = tabledata.getDatabaseSizes(hostId, days)
if hostId in sizes:
tabledata.fillGraph(graph_size, sizes[hostId])
graph_size = graph_size.render()
if tplE._settings.get("show_db_stats", True):
dbstats = reportdata.getDatabaseStatistics(hostId, days)
if len(dbstats) > 0:
graph_dbstats = flotgraph.SizeGraph("graph_dbstats")
graph_dbstats.addSeries("Temp bytes written", "temp_files_bytes")
graph_dbstats.addSeries("#Backends / 10", "numbackends", "#C0C0C0", None, 2)
graph_dbstats.addSeries("#Deadlocks", "deadlocks", "#FF0000", None, 2)
graph_dbstats.addSeries("#Rollbacks [incl. exceptions]", "rollbacks", "#FFFF00", None, 2)
for d in dbstats:
timestamp = int(time.mktime(d["timestamp"].timetuple()) * 1000)
graph_dbstats.addPoint("temp_files_bytes", timestamp, d["temp_files_bytes"])
graph_dbstats.addPoint("deadlocks", timestamp, d["deadlocks"])
graph_dbstats.addPoint("numbackends", timestamp, d["numbackends"] / 10.0)
graph_dbstats.addPoint("rollbacks", timestamp, d["rollbacks"])
graph_dbstats = graph_dbstats.render()
if tplE._settings.get("show_top_sprocs", True):
top_sprocs = {}
top_sprocs["hours1avg"] = self.renderTop10LastHours(topsprocs.avgRuntimeOrder, 1, hostId, sprocs_to_show)
top_sprocs["hours3avg"] = self.renderTop10LastHours(topsprocs.avgRuntimeOrder, 3, hostId, sprocs_to_show)
top_sprocs["hours1total"] = self.renderTop10LastHours(
topsprocs.totalRuntimeOrder, 1, hostId, sprocs_to_show
)
top_sprocs["hours3total"] = self.renderTop10LastHours(
topsprocs.totalRuntimeOrder, 3, hostId, sprocs_to_show
)
top_sprocs["hours1calls"] = self.renderTop10LastHours(topsprocs.totalCallsOrder, 1, hostId, sprocs_to_show)
top_sprocs["hours3calls"] = self.renderTop10LastHours(topsprocs.totalCallsOrder, 3, hostId, sprocs_to_show)
if tplE._settings.get("show_top_statements", False):
top_statements = {}
tsd = topstatements.getTopStatementsData(
hostId, interval1="3hours", interval2="1hours", limit=sprocs_to_show
)
if tsd:
top_statements["hours1avg"] = self.renderTop10StatementsLastHours(hostId, tsd.get("avg_int2", []))
top_statements["hours3avg"] = self.renderTop10StatementsLastHours(hostId, tsd.get("avg_int1", []))
top_statements["hours1total"] = self.renderTop10StatementsLastHours(hostId, tsd.get("total_int2", []))
top_statements["hours3total"] = self.renderTop10StatementsLastHours(hostId, tsd.get("total_int1", []))
top_statements["hours1calls"] = self.renderTop10StatementsLastHours(hostId, tsd.get("calls_int2", []))
top_statements["hours3calls"] = self.renderTop10StatementsLastHours(hostId, tsd.get("calls_int1", []))
if tplE._settings.get("show_bgwriter_stats", True):
graph_checkpoint = self.get_rendered_bgwriter_graph(hostId, int(days))
tmpl = tplE.env.get_template("index.html")
return tmpl.render(
hostid=hostId,
hostname=hosts.getHostnameByHostId(hostId),
hostuiname=hostUiName,
graph_load=graph_load,
graph_wal=graph_wal,
graph_size=graph_size,
graph_dbstats=graph_dbstats,
graph_checkpoint=graph_checkpoint,
top_sprocs=top_sprocs,
top_statements=top_statements,
limit=sprocs_to_show,
features=hosts.getActiveFeatures(hostId),
global_announcement=global_announcement,
target="World",
)