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@rafrombrc
Last active August 29, 2015 14:18
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Sample Heka SandboxFilter emitting graphite format stats from HTTP request data
require "string"
require "math"
require "table"
require "cjson"
local status_codes = {}
local request_times = {}
local ticker_interval = read_config("ticker_interval") or error("must provide ticker_interval")
local percent_thresh = read_config("percent_threshold") or 90
function process_message()
local hostname = read_message("Hostname")
local logger = read_message("Logger")
local status = read_message("Fields[status]")
local request_time = read_message("Fields[request_time]")
local bucket = string.format("%s.nginx.%s.http_%d", hostname, logger, status)
local val = status_codes[bucket] or 0
status_codes[bucket] = val + 1
bucket = string.format("%s.nginx.%s.request_time", hostname, logger)
val = request_times[bucket] or {}
val[#val+1] = request_time
request_times[bucket] = val
return 0
end
function timer_event(ns)
local now_sec = math.floor(ns / 1e9)
local rate
local num_stats = 0
for bucket, count in pairs(status_codes) do
rate = count / ticker_interval
add_to_payload(string.format("stats.counters.%s.count %d %d\n", bucket, count, now_sec))
add_to_payload(string.format("stats.counters.%s.rate %f %d\n", bucket, rate, now_sec))
status_codes[bucket] = 0
num_stats = num_stats + 1
end
local count, min, max, sum, mean, rate, mean_percentile, upper_percentile
local cumulative, tmp
for bucket, times in pairs(request_times) do
count = #times
if count == 0 then
min = 0
max = 0
sum = 0
mean = 0
rate = 0
mean_percentile = 0
upper_percentile = 0
else
rate = count / ticker_interval
table.sort(times)
min = times[1]
max = times[count]
mean = min
thresh_bound = max
cumulative = {}
cumulative[0] = 0
for i, time in ipairs(times) do
cumulative[i] = cumulative[i-1] + time
end
if count > 1 then
tmp = ((100 - percent_thresh) / 100) * count
num_in_thresh = count - math.floor(tmp+.5)
if num_in_thresh > 0 then
mean = cumulative[num_in_thresh] / num_in_thresh
thresh_bound = times[num_in_thresh]
else
mean = min
thresh_bound = max
end
end
mean_percentile = mean
upper_percentile = thresh_bound
sum = cumulative[count]
mean = sum / count
end
add_to_payload(string.format("stats.timers.%s.count %d %d\n", bucket, count, now_sec))
add_to_payload(string.format("stats.timers.%s.count_ps %f %d\n", bucket, rate, now_sec))
add_to_payload(string.format("stats.timers.%s.lower %f %d\n", bucket, min, now_sec))
add_to_payload(string.format("stats.timers.%s.upper %f %d\n", bucket, max, now_sec))
add_to_payload(string.format("stats.timers.%s.sum %f %d\n", bucket, sum, now_sec))
add_to_payload(string.format("stats.timers.%s.mean %f %d\n", bucket, mean, now_sec))
add_to_payload(string.format("stats.timers.%s.mean_%d %f %d\n", bucket, percent_thresh,
mean_percentile, now_sec))
add_to_payload(string.format("stats.timers.%s.upper_%d %f %d\n", bucket, percent_thresh,
upper_percentile, now_sec))
num_stats = num_stats + 1
request_times[bucket] = {}
end
add_to_payload(string.format("stats.statsd.numStats %d %d\n", num_stats, now_sec))
inject_payload("txt", "statmetric")
end
[luastats]
type = "SandboxFilter"
filename = "/path/to/http_req_stat_filter.lua"
message_matcher = 'Type == "nginx.access" && Fields[request_time] != NIL && Fields[status] > 0'
ticker_interval = 5
[luastats.config]
# Yes, you have to put the same ticker_interval value in both places :P
ticker_interval = 5
[CarbonOutput]
address = "graphite.cluster:2003"
protocol = "udp"
message_matcher = "Fields[payload_name] == 'statmetric'"
[PayloadEncoder]
[LogOutput]
message_matcher = "Type == 'heka.sandbox-terminated'"
encoder = "PayloadEncoder"
@trink
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trink commented Apr 2, 2015

Line 4: unused
Lines 15,16: protect against nil values

@rafrombrc
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@trink I didn't protect against nil values on lines 15 & 16 b/c the message_matcher explicitly ensures that neither of those fields will be nil, but you're right that it's probably safer to do so anyway in case the filter code is used with a different matcher in the future.

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