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ClickHouse

ClickHouse is a fast open-source column-oriented database management system that allows generating analytical data reports in real-time using SQL queries. Telegraf is a plug-in driven server agent for collecting and sending metrics and events from databases, systems and IoT sensors.

To send your Prometheus-format ClickHouse metrics to Logz.io, you need to add the inputs.clickhouse and outputs.http plug-ins to your Telegraf configuration file.

Configure Telegraf to send your metrics data to Logz.io​

Set up Telegraf v1.17 or higher​

For Windows

wget https://dl.influxdata.com/telegraf/releases/telegraf-1.27.3_windows_amd64.zip

After downloading the archive, extract its content into C:\Program Files\Logzio\telegraf\.

The configuration file is located at C:\Program Files\Logzio\telegraf\.

For MacOS

brew install telegraf

The configuration file is located at /usr/local/etc/telegraf.conf.

For Linux

Ubuntu & Debian

sudo apt-get update && sudo apt-get install telegraf

The configuration file is located at /etc/telegraf/telegraf.conf.

RedHat and CentOS

sudo yum install telegraf

The configuration file is located at /etc/telegraf/telegraf.conf.

SLES & openSUSE

# add go repository
zypper ar -f obs://devel:languages:go/ go
# install latest telegraf
zypper in telegraf

The configuration file is located at /etc/telegraf/telegraf.conf.

FreeBSD/PC-BSD

sudo pkg install telegraf

The configuration file is located at /etc/telegraf/telegraf.conf.

Add the inputs.clickhouse plug-in​

First you need to configure the input plug-in to enable Telegraf to scrape the ClickHouse data from your hosts. To do this, add the following code to the configuration file:

[[inputs.clickhouse]]
  ## Username for authorization on ClickHouse server
  ## example: username = "default"
  username = "default"

  ## Password for authorization on ClickHouse server
  ## example: password = "super_secret"

  ## HTTP(s) timeout while getting metrics values
  ## The timeout includes connection time, any redirects, and reading the response body.
  ##   example: timeout = 1s
  # timeout = 5s

  ## List of servers for metrics scraping
  ## metrics scrape via HTTP(s) clickhouse interface
  ## https://clickhouse.tech/docs/en/interfaces/http/
  ##    example: servers = ["http://127.0.0.1:8123","https://custom-server.mdb.yandexcloud.net"]
  servers         = ["http://127.0.0.1:8123"]

  ## If "auto_discovery"" is "true" plugin tries to connect to all servers available in the cluster
  ## with using same "user:password" described in "user" and "password" parameters
  ## and get this server hostname list from "system.clusters" table
  ## see
  ## - https://clickhouse.tech/docs/en/operations/system_tables/#system-clusters
  ## - https://clickhouse.tech/docs/en/operations/server_settings/settings/#server_settings_remote_servers
  ## - https://clickhouse.tech/docs/en/operations/table_engines/distributed/
  ## - https://clickhouse.tech/docs/en/operations/table_engines/replication/#creating-replicated-tables
  ##    example: auto_discovery = false
  # auto_discovery = true

  ## Filter cluster names in "system.clusters" when "auto_discovery" is "true"
  ## when this filter present then "WHERE cluster IN (...)" filter will apply
  ## please use only full cluster names here, regexp and glob filters is not allowed
  ## for "/etc/clickhouse-server/config.d/remote.xml"
  ## <yandex>
  ##  <remote_servers>
  ##    <my-own-cluster>
  ##        <shard>
  ##          <replica><host>clickhouse-ru-1.local</host><port>9000</port></replica>
  ##          <replica><host>clickhouse-ru-2.local</host><port>9000</port></replica>
  ##        </shard>
  ##        <shard>
  ##          <replica><host>clickhouse-eu-1.local</host><port>9000</port></replica>
  ##          <replica><host>clickhouse-eu-2.local</host><port>9000</port></replica>
  ##        </shard>
  ##    </my-onw-cluster>
  ##  </remote_servers>
  ##
  ## </yandex>
  ##
  ## example: cluster_include = ["my-own-cluster"]
  # cluster_include = []

  ## Filter cluster names in "system.clusters" when "auto_discovery" is "true"
  ## when this filter present then "WHERE cluster NOT IN (...)" filter will apply
  ##    example: cluster_exclude = ["my-internal-not-discovered-cluster"]
  # cluster_exclude = []

  ## Optional TLS Config
  # tls_ca = "/etc/telegraf/ca.pem"
  # tls_cert = "/etc/telegraf/cert.pem"
  # tls_key = "/etc/telegraf/key.pem"
  ## Use TLS but skip chain & host verification
  # insecure_skip_verify = false
note

The database name is only required for instantiating a connection with the server and does not restrict the databases that we collect metrics from. The full list of data scraping and configuring options can be found here.

Add the outputs.http plug-in​

After you create the configuration file, configure the output plug-in to enable Telegraf to send your data to Logz.io in Prometheus-format. To do this, add the following code to the configuration file:

[[outputs.http]]
  url = "https://<<LISTENER-HOST>>:8053"
  data_format = "prometheusremotewrite"
  [outputs.http.headers]
     Content-Type = "application/x-protobuf"
     Content-Encoding = "snappy"
     X-Prometheus-Remote-Write-Version = "0.1.0"
     Authorization = "Bearer <<PROMETHEUS-METRICS-SHIPPING-TOKEN>>"

Replace the placeholders to match your specifics. (They are indicated by the double angle brackets << >>):

  • Replace <<LISTENER-HOST>> with the Logz.io Listener URL for your region, configured to use port 8052 for http traffic, or port 8053 for https traffic. For example, listener.logz.io if your account is hosted on AWS US East, or listener-nl.logz.io if hosted on Azure West Europe.
  • Replace <<PROMETHEUS-METRICS-SHIPPING-TOKEN>> with a token for the Metrics account you want to ship to.
    Here's how to look up your Metrics token.

Check Logz.io for your metrics​

Give your data some time to get from your system to ours, then log in to your Logz.io Metrics account, and open the Logz.io Metrics tab.