Graphite metrics receiver with ClickHouse as storage
Last releases are stable and ready for production use
# build binary
git clone https://github.com/lomik/carbon-clickhouse.git
cd carbon-clickhouse
make
-
Add
graphite_rollup
section to config.xml. Sample here. You can use carbon-schema-to-clickhouse for generate rollup xml from graphite storage-schemas.conf. -
Create tables.
CREATE TABLE graphite (
Path String,
Value Float64,
Time UInt32,
Date Date,
Timestamp UInt32
) ENGINE = GraphiteMergeTree('graphite_rollup')
PARTITION BY toYYYYMM(Date)
ORDER BY (Path, Time);
-- optional table for faster metric search
CREATE TABLE graphite_index (
Date Date,
Level UInt32,
Path String,
Version UInt32
) ENGINE = ReplacingMergeTree(Version)
PARTITION BY toYYYYMM(Date)
ORDER BY (Level, Path, Date);
-- optional table for storing Graphite tags
CREATE TABLE graphite_tagged (
Date Date,
Tag1 String,
Path String,
Tags Array(String),
Version UInt32
) ENGINE = ReplacingMergeTree(Version)
PARTITION BY toYYYYMM(Date)
ORDER BY (Tag1, Path, Date);
GraphiteMergeTree documentation
You can create Replicated tables. See ClickHouse documentation
$ carbon-clickhouse -help
Usage of carbon-clickhouse:
-check-config=false: Check config and exit
-config="": Filename of config
-config-print-default=false: Print default config
-version=false: Print version
[common]
# Prefix for store all internal carbon-clickhouse graphs. Supported macroses: {host}
metric-prefix = "carbon.agents.{host}"
# Endpoint for store internal carbon metrics. Valid values: "" or "local", "tcp://host:port", "udp://host:port"
metric-endpoint = "local"
# Interval of storing internal metrics. Like CARBON_METRIC_INTERVAL
metric-interval = "1m0s"
# GOMAXPROCS
max-cpu = 1
[logging]
# "stderr", "stdout" can be used as file name
file = "/var/log/carbon-clickhouse/carbon-clickhouse.log"
# Logging error level. Valid values: "debug", "info", "warn" "error"
level = "info"
[data]
# Folder for buffering received data
path = "/data/carbon-clickhouse/"
# Rotate (and upload) file iniciated on size and interval
# Rotate (and upload) file size (in bytes, also k, m and g units can be used)
# chunk-max-size = '512m'
chunk-max-size = 0
# Rotate (and upload) file interval
# Minimize chunk-interval for minimize lag between point receive and store
chunk-interval = "1s"
# Auto-increase chunk interval if the number of unprocessed files is grown
# Sample, set chunk interval to 10 if unhandled files count >= 5 and set to 60s if unhandled files count >= 20:
# chunk-auto-interval = "5:10s,20:60s"
chunk-auto-interval = ""
# Compression algorithm to use when storing temporary files.
# Might be useful to reduce space usage when Clickhouse is unavailable for an extended period of time.
# Currently supported: none, lz4
compression = "none"
# Compression level to use.
# For "lz4" 0 means use normal LZ4, >=1 use LZ4HC with this depth (the higher - the better compression, but slower)
compression-level = 0
[upload.graphite]
type = "points"
table = "graphite"
threads = 1
url = "http://localhost:8123/"
# compress-data enables gzip compression while sending to clickhouse
compress-data = true
timeout = "1m0s"
# save zero value to Timestamp column (for point and posts-reverse tables)
zero-timestamp = false
[upload.graphite_index]
type = "index"
table = "graphite_index"
threads = 1
url = "http://localhost:8123/"
timeout = "1m0s"
cache-ttl = "12h0m0s"
# Store hash of metric in memory instead of full metric name
# Allowed values: "", "city64" (empty value - disabled)
hash = ""
# If daily index should be disabled, default is `false`
disable-daily-index = false
# # You can define additional upload destinations of any supported type:
# # - points
# # - index
# # - tagged (is described below)
# # - points-reverse (same scheme as points, but path 'a1.b2.c3' stored as 'c3.b2.a1')
# # For uploaders with types "points" and "points-reverse" there is a possibility to ignore data using patterns. E.g.
# [upload.graphite]
# type = "graphite"
# table = "graphite.points"
# threads = 1
# url = "http://localhost:8123/"
# timeout = "30s"
# ignored-patterns = [
# "a1.b2.*.c3",
# ]
# # Extra table which can be used as index for tagged series
# # Also, there is an opportunity to avoid writing tags for some metrics.
# # Example below, ignored-tagged-metrics.
# [upload.graphite_tagged]
# type = "tagged"
# table = "graphite_tagged"
# threads = 1
# url = "http://localhost:8123/"
# timeout = "1m0s"
# cache-ttl = "12h0m0s"
# ignored-tagged-metrics = [
# "a.b.c.d", # all tags (but __name__) will be ignored for metrics like a.b.c.d?tagName1=tagValue1&tagName2=tagValue2...
# "*", # all tags (but __name__) will be ignored for all metrics; this is the only special case with wildcards
# ]
[udp]
listen = ":2003"
enabled = true
# drop received point if timestamp > now + value. 0 - don't drop anything
drop-future = "0s"
# drop received point if timestamp < now - value. 0 - don't drop anything
drop-past = "0s"
# drop metrics with names longer than this value. 0 - don't drop anything
drop-longer-than = 0
[tcp]
listen = ":2003"
enabled = true
drop-future = "0s"
drop-past = "0s"
drop-longer-than = 0
[pickle]
listen = ":2004"
enabled = true
drop-future = "0s"
drop-past = "0s"
drop-longer-than = 0
# https://github.com/lomik/carbon-clickhouse/blob/master/grpc/carbon.proto
[grpc]
listen = ":2005"
enabled = false
drop-future = "0s"
drop-past = "0s"
drop-longer-than = 0
[prometheus]
listen = ":2006"
enabled = false
drop-future = "0s"
drop-past = "0s"
drop-longer-than = 0
[telegraf_http_json]
listen = ":2007"
enabled = false
drop-future = "0s"
drop-past = "0s"
drop-longer-than = 0
# the character to join telegraf metric and field (default is "_" for historical reason and Prometheus compatibility)
concat = "."
# Golang pprof + some extra locations
#
# Last 1000 points dropped by "drop-future", "drop-past" and "drop-longer-than" rules:
# /debug/receive/tcp/dropped/
# /debug/receive/udp/dropped/
# /debug/receive/pickle/dropped/
# /debug/receive/grpc/dropped/
# /debug/receive/prometheus/dropped/
# /debug/receive/telegraf_http_json/dropped/
[pprof]
listen = "localhost:7007"
enabled = false
# You can use tag matching like in InfluxDB. Format is exactly the same.
# It will parse all metrics that don't have tags yet.
# For more information see https://docs.influxdata.com/influxdb/v1.7/supported_protocols/graphite/
# Example:
# [convert_to_tagged]
# enabled = true
# separator = "_"
# tags = ["region=us-east", "zone=1c"]
# templates = [
# "generated.* .measurement.cpu metric=idle",
# "* host.measurement* template_match=none",
# ]