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Update line protocol specification

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Thomas Roehl 2022-03-18 16:08:40 +01:00
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interfaces/lineprotocol/README.md
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# Overview # Overview
ClusterCockpit uses the InfluxData line-protocol for collecting the node metric ClusterCockpit uses the [InfluxData line-protocol](https://docs.influxdata.com/influxdb/v2.1/reference/syntax/line-protocol/) for transferring metrics between the its components. The line-protocol is a test-based representation of a metric with a value, time and describing tags. All metrics have the following format (if written to `stdout`):
data.
``` ```
<measurement>,<tag set> <field set> <timestamp [s]> <measurement>,<tag set> <field set> <timestamp>
``` ```
**Note**: This is a proposal for a different way to send & store the data! where `<tag set>` and `<field set>` are comma-separated lists of `key=value` entries. In a mind-model, think about tags as `indices` in the database for faster lookup and the `<field set>` as metric values.
# Supported measurements:
* `flops_sp`
* `flops_dp`
* `flops_any`
* `load`
* `mem_used`
* `ipc`
* `mem_bw`
* `power`
* `clock`
* ...
# Mandatory tags per measurement: # Line-protocol in the ClusterCockpit ecosystem
In ClusterCockpit we limit the flexibility of the InfluxData line-protocol slightly. The idea is to keep the format evaluatable by different components.
Each metric is identifiable by the `measurement` (= metric name), the `hostname`, the `type` and, if required, a `type-id`.
## Mandatory tags per measurement:
* `hostname` * `hostname`
* `type` in `[node, socket, cpu, (accelerator)]` * `type` in `[node, socket, die, memoryDomain, llb, core, hwthread, (accelerator)]`
* `type-id` for further specifying the type like CPU socket or HW Thread identifier * `type-id` for further specifying the type like CPU socket or HW Thread identifier
# Optional tags depending on the measurment: ## Mandatory fields per measurement:
* `device` for measurement `file_bw` The field key is always `value`. No other field keys are evaluated by the ClusterCockpit ecosystem.
* `device` for `net_bw` if splitting into `ib_bw` and `eth_bw` is not enough
# Fields per measurement: ## Optional tags depending on the measurment:
The field key is always `value`
# Optional measurements: In some cases, optional tags are required like `filesystem`, `device` or `version`. While you are free to do that, the ClusterCockpit components in the stack above will recognize `stype` (= sub type) and `stype-id` in the future. So `filesystem=/homes` should be better specified as `stype=filesystem,stype-id=/homes`
If a fixed aggregation to a coarser granularity is desired, add addtional measurments to the same measurement with different tags:
```
mem_bw,hostname=X,type="socket",type-id=0 value=100.0
mem_bw,hostname=X,type="socket",type-id=1 value=200.0
```
can additionally be send/stored as: ## Supported measurements
``` While the measurements (metric names) can be chosen freely, there is a basic set of measurements which should be present as long as you navigate in the ClusterCockpit ecosystem
mem_bw,hostname=X,type="node",type-id=0 value=300.0
```
It is discussable where the type of aggregation should be encoded if required, either by adding a tag like `agg={min,max,sum,avg}` or using different fields like: * `flops_sp`: Single-precision floating point rate in `Flops/s`
* `flops_dp`: Double-precision floating point rate in `Flops/s`
* `flops_any`: Combined floating point rate in `Flops/s` (often `(flops_dp * 2) + flops_sp`)
* `cpu_load`: The 1m load of the system (see `/proc/loadavg`)
* `mem_used`: The amount of memory used by applications (see `/proc/meminfo`)
* `ipc`: instructions-per-cycle metric
* `mem_bw`: Main memory bandwidth (read and write) in `MByte/s`
* `cpu_power`: Power consumption of the whole CPU package
* `mem_power`: Power consumption of the memory subsystem
* `clock`: CPU clock in `MHz`
* ...
``` For the whole list, see [job-data schema](../../datastructures/job-data.schema.json)
mem_bw,hostname=X,type="node",type-id=0 sum=300.0,min=100.0,max=200.0,avg=150.0
```
I prefer the separate `agg` tag because commonly, only a single type of aggregation is done per measurment (mostly `sum` but some require `avg` like `ipc`)