Created
March 3, 2016 18:09
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#!/usr/bin/env python | |
from influxdb import InfluxDBClusterClient | |
influx_host = "127.0.0.1" | |
influx_port = 8086 | |
influx_user = "user" | |
influx_pass = "pass" | |
database = "example" | |
influx_timeout = 10 | |
c.influx_max_metrics = 40 | |
c.influx = InfluxDBClusterClient( | |
[(influx_host,influx_port)], | |
influx_user, influx_pass, | |
database, timeout = influx_timeout) | |
query = c.influx.query("SHOW FIELD KEYS") | |
values = [] | |
for key,items in query.items(): | |
for i in list(items): | |
values.append(i["fieldKey"]) | |
# String of all mean(values) | |
# Set makes a uniq list | |
cq_values = ",".join(map(lambda v: 'mean("%s") AS "%s"' % (v,v), set(values))) | |
cq_query = 'CREATE CONTINUOUS QUERY {cq_name} ON {database} BEGIN SELECT {cq_values} INTO {database}."rp_{rp}".:MEASUREMENT FROM {database}."{query}"./.*/ GROUP BY time({rp}), * END' | |
schema = [ | |
{"rp": "10s", "duration":"2h","query":"default"}, | |
{"rp": "30s", "duration":"6h","query":"default"}, | |
{"rp": "1m", "duration":"24h","query":"10s"}, | |
{"rp": "5m", "duration":"48h","query":"30s"}, | |
{"rp": "30m", "duration":"7d","query":"5m"}, | |
{"rp": "1h", "duration":"31d","query":"5m"}, | |
{"rp": "3h", "duration":"93d","query":"5m"}, | |
{"rp": "12h", "duration":"370d","query":"1h"}, | |
{"rp": "24h", "duration":"inf","query":"1h"} | |
] | |
for s in schema: | |
# Create retention policies | |
c.influx.create_retention_policy("rp_%s" % s["rp"], s["duration"], "1") | |
# Create CQs | |
query = cq_query.format(cq_name="%s_cq_%s" % (database,s["rp"]), database=database, cq_values=cq_values, rp=s["rp"], query=s["query"]) | |
c.influx.query(query) |
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I think the schema like this: