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Vector

In this section, we will collect system metric data, such as CPU and memory usage, and sends them to local GreptimeDB.

Write Data

Configure

Create a file named vector.toml and copy the following content into it.

toml
[sources.in]
type = "host_metrics"
scrape_interval_secs = 5

[sinks.greptime]
inputs = ["in"]
type = "greptimedb"
endpoint = "greptimedb:4001"
dbname = "public"
[sources.in]
type = "host_metrics"
scrape_interval_secs = 5

[sinks.greptime]
inputs = ["in"]
type = "greptimedb"
endpoint = "greptimedb:4001"
dbname = "public"

The configuration collects host_metrics as a Vector source and uses local GreptimeDB as the sink destination. The host greptimedb in the endpoint is the service name of GreptimeDB in the Docker network.

Start

Here we use Docker Compose to start GreptimeDB, Vector and Grafana. To do this, create a docker-compose.yml file with the following content:

yaml
services:
  grafana:
    image: grafana/grafana-oss:9.5.15
    container_name: grafana
    ports:
      - 3000:3000

  greptime:
    image: greptime/greptimedb:latest
    container_name: greptimedb
    ports:
      - 4000:4000
      - 4001:4001
      - 4002:4002
      - 4003:4003
      - 4004:4004
      - 4242:4242
    command: "standalone start --http-addr 0.0.0.0:4000 --rpc-addr 0.0.0.0:4001 --mysql-addr 0.0.0.0:4002 --postgres-addr 0.0.0.0:4003 --opentsdb-addr 0.0.0.0:4242"
    volumes:
      - ./greptimedb:/tmp/greptimedb

  vector:
    image: timberio/vector:0.33.0-debian
    container_name: vector
    ports:
      - 8686:8686
    volumes:
      - ./vector.toml:/etc/vector/vector.toml:ro

networks: {}
services:
  grafana:
    image: grafana/grafana-oss:9.5.15
    container_name: grafana
    ports:
      - 3000:3000

  greptime:
    image: greptime/greptimedb:latest
    container_name: greptimedb
    ports:
      - 4000:4000
      - 4001:4001
      - 4002:4002
      - 4003:4003
      - 4004:4004
      - 4242:4242
    command: "standalone start --http-addr 0.0.0.0:4000 --rpc-addr 0.0.0.0:4001 --mysql-addr 0.0.0.0:4002 --postgres-addr 0.0.0.0:4003 --opentsdb-addr 0.0.0.0:4242"
    volumes:
      - ./greptimedb:/tmp/greptimedb

  vector:
    image: timberio/vector:0.33.0-debian
    container_name: vector
    ports:
      - 8686:8686
    volumes:
      - ./vector.toml:/etc/vector/vector.toml:ro

networks: {}

Then run the following command:

shell
docker-compose up
docker-compose up

After every service starts successfully, the host metrics will be collected and sent to GreptimeDB.

Visualize Data with Grafana

Add Data Source

You can access Grafana at http://localhost:3000. Use admin as both the username and password to log in.

GreptimeDB can be configured as a Prometheus data source in Grafana. Click the Add data source button and select Prometheus as the type.

add-prometheus-data-source

Fill in the following information:

  • Name: GreptimeDB
  • Prometheus server URL in HTTP: http://greptime:4000/v1/prometheus?db=public

grafana-prometheus-config.jpg

Then click Save & Test button to test the connection.

For more information on using Prometheus as a data source for GreptimeDB, please refer to Grafana-Prometheus.

Create a Dashboard

To create a new dashboard in Grafana, click the Create your first dashboard button on the home page. Then, click Add visualization and select GreptimeDB as the data source.

To view the metric data on the panel page, select a metric from the Metric drop-down list in the Query tab, and then click Run query. Once you have reviewed the data, click Save to save the panel.

grafana-create-panel-with-selecting-metric

You can also use PromQL to create panels. Click the code button on the right side of the Query tab to switch to the PromQL editor. Then, enter a PromQL statement, such as system_memory_usage{state="used"}, and click Run query to view the metric data.

grafana-create-panel-with-promql

NOTE

GreptimeDB is compatible with most of PromQL, but there are some limitations. Please refer to the PromQL Limitations documentation for more information.

Next Steps

Congratulations on quickly experiencing the basic features of GreptimeDB! Now, you can explore more of GreptimeDB's features by visiting the User Guide documentation.