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https://github.com/taosdata/bailongma-rs

TDengine adapters for prometheus
https://github.com/taosdata/bailongma-rs

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TDengine adapters for prometheus

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# Bailongma

> TDengine adatper for Prometheus, and others will happen soon.

For simple use case, just run:

```sh
bailongma
```

For all options, type `--help` for details.

Long usage here:

```sh
TDengine adapter for prometheus

USAGE:
bailongma [OPTIONS]

FLAGS:
--help
Prints help information

-V, --version
Prints version information

OPTIONS:
-c, --chunk-size
Sql chunk size.

The larger your table column size is, the small chunk should be setted. [default: 600]

-h, --host
TDengine host IP or hostname [default: localhost]

-l, --level
Debug level [default: info]

-L, --listen
Listen to an specific ip and port [default: 0.0.0.0:10203]

-C, --max-connections
Max TDengine connections

- in concurrent cases, use max as 50000 - for common use, set it as 5000 [default:
50000]

-M, --max-memory
Max memroy, unit: GB [default: 50]

-P, --password
TDengine password [default: taosdata]

-p, --port
TDengine server port [default: 6030]

-u, --user
TDengine user [default: root]

-w, --workers
Thread works for web request [default: 10]
```

Example:

```sh
bailongma -h tdengine -p 6030 -u root -P taospass --listen 0.0.0.0:10101
```

It will listen to port `10101`(default is `10230`).

Configure in `prometheus.yml`:

```yaml
remote_write:
- url: "localhost:10101/adapters/prometheus/write"
remote_read:
- url: "localhost:10101/adapters/prometheus/read"
```

The default database is `prometheus`, use query option `database` to modify this, configuration file is like:

```yaml
remote_write:
- url: "localhost:10101/adapters/prometheus/write?database=prom1"
remote_read:
- url: "localhost:10101/adapters/prometheus/read?database=prom1"
```

## Build and Install

```sh
cargo build
cargo install --path .
```

## blm-bench-prom

`cargo build` will also produce a benchmark tool.

```sh
blm-bench-prom http://127.0.0.1:10230/adapters/prometheus/test5 \
--points 10 \
--metrics 10 \
--interval 1000 \
--chunks 1000 \
--samples 100
```