Improve Python + Influxdb import performance
Prathamesh
prathamesh.nimkar at gmail.com
Mon Apr 3 12:11:49 EDT 2017
Hello World
The following script is an extract from
https://github.com/RittmanMead/obi-metrics-agent/blob/master/obi-metrics-agent.py
<<Code begins>>
import calendar, time
import sys
import getopt
print '---------------------------------------'
# Check the arguments to this script are as expected.
# argv[0] is script name.
argLen = len(sys.argv)
if argLen -1 < 2:
print "ERROR: got ", argLen -1, " args, must be at least two."
print '$FMW_HOME/oracle_common/common/bin/wlst.sh obi-metrics-agent.py <AdminUserName> <AdminPassword> [<AdminServer_t3_url>] [<Carbon|InfluxDB>] [<target host>] [<target port>] [targetDB influx db>'
exit()
outputFormat='CSV'
url='t3://localhost:7001'
targetHost='localhost'
targetDB='obi'
targetPort='8086'
try:
wls_user = sys.argv[1]
wls_pw = sys.argv[2]
url = sys.argv[3]
outputFormat=sys.argv[4]
targetHost=sys.argv[5]
targetPort=sys.argv[6]
targetDB=sys.argv[7]
except:
print ''
print wls_user, wls_pw,url, outputFormat,targetHost,targetPort,targetDB
now_epoch = calendar.timegm(time.gmtime())*1000
if outputFormat=='InfluxDB':
import httplib
influx_msgs=''
connect(wls_user,wls_pw,url)
results = displayMetricTables('Oracle_BI*','dms_cProcessInfo')
for table in results:
tableName = table.get('Table')
rows = table.get('Rows')
rowCollection = rows.values()
iter = rowCollection.iterator()
while iter.hasNext():
row = iter.next()
rowType = row.getCompositeType()
keys = rowType.keySet()
keyIter = keys.iterator()
inst_name= row.get('Name').replace(' ','-')
try:
server= row.get('Servername').replace(' ','-').replace('/','_')
except:
try:
server= row.get('ServerName').replace(' ','-').replace('/','_')
except:
server='unknown'
try:
host= row.get('Host').replace(' ','-')
except:
host=''
while keyIter.hasNext():
columnName = keyIter.next()
value = row.get(columnName )
if columnName.find('.value')>0:
metric_name=columnName.replace('.value','')
if value is not None:
if value != 0:
if outputFormat=='InfluxDB':
influx_msg= ('%s,server=%s,host=%s,metric_group=%s,metric_instance=%s value=%s %s') % (metric_name,server,host,tableName,inst_name, value,now_epoch*1000000)
influx_msgs+='\n%s' % influx_msg
conn = httplib.HTTPConnection('%s:%s' % (targetHost,targetPort))
## TODO pretty sure should be urlencoding this ...
a=conn.request("POST", ("/write?db=%s" % targetDB), influx_msg)
r=conn.getresponse()
<<Code ends>>
It currently takes about 3 minutes to execute completely and I was thinking of a way to make it run faster
Data alignment (Influx line protocol) & data loading - done together takes up most of the time
Influxdb is currently loading data at around 3 points/second
Any way to align the data separately, store it and load it as a batch?
I feel that would help improve performance
Please let me know if you have any pointers
I can send the data sheet if required
Thanks P
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