.github/workflows | ||
api | ||
cmd/cc-metric-store | ||
configs | ||
init | ||
internal | ||
pkg/resampler | ||
.gitignore | ||
.goreleaser.yaml | ||
go.mod | ||
go.sum | ||
LICENSE | ||
Makefile | ||
README.md | ||
ReleaseNotes.md | ||
tools.go |
ClusterCockpit Metric Store
The cc-metric-store provides a simple in-memory time series database for storing metrics of cluster nodes at preconfigured intervals. It is meant to be used as part of the ClusterCockpit suite. As all data is kept in-memory (but written to disk as compressed JSON for long term storage), accessing it is very fast. It also provides topology aware aggregations over time and nodes/sockets/cpus.
There are major limitations: Data only gets written to disk at periodic checkpoints, not as soon as it is received. Also only the fixed configured duration is stored and available.
Go look at the GitHub Issues for a progress overview. The NATS.io based writing endpoint consumes messages in this format of the InfluxDB line protocol.
REST API Endpoints
The REST API is documented in swagger.json. You can explore and try the REST API using the integrated SwaggerUI web interface.
Run tests
Some benchmarks concurrently access the MemoryStore
, so enabling the
Race Detector might be useful.
The benchmarks also work as tests as they do check if the returned values are as
expected.
# Tests only
go test -v ./...
# Benchmarks as well
go test -bench=. -race -v ./...
What are these selectors mentioned in the code?
The cc-metric-store works as a time-series database and uses the InfluxDB line
protocol as input format. Unlike InfluxDB, the data is indexed by one single
strictly hierarchical tree structure. A selector is build out of the tags in the
InfluxDB line protocol, and can be used to select a node (not in the sense of a
compute node, can also be a socket, cpu, ...) in that tree. The implementation
calls those nodes level
to avoid confusion. It is impossible to access data
only by knowing the socket or cpu tag, all higher up levels have to be
specified as well.
This is what the hierarchy currently looks like:
- cluster1
- host1
- socket0
- socket1
- ...
- cpu1
- cpu2
- cpu3
- cpu4
- ...
- gpu1
- gpu2
- host2
- ...
- host1
- cluster2
- ...
Example selectors:
["cluster1", "host1", "cpu0"]
: Select only the cpu0 of host1 in cluster1["cluster1", "host1", ["cpu4", "cpu5", "cpu6", "cpu7"]]
: Select only CPUs 4-7 of host1 in cluster1["cluster1", "host1"]
: Select the complete node. If querying for a CPU-specific metric such as floats, all CPUs are implied
Config file
All durations are specified as string that will be parsed like
this (Allowed suffixes: s
, m
, h
,
...).
metrics
: Map of metric-name to objects with the following propertiesfrequency
: Timestep/Interval/Resolution of this metricaggregation
: Can be"sum"
,"avg"
ornull
null
means aggregation across nodes is forbidden for this metric"sum"
means that values from the child levels are summed up for the parent level"avg"
means that values from the child levels are averaged for the parent level
scope
: Unused at the moment, should be something like"node"
,"socket"
or"hwthread"
nats
:address
: Url of NATS.io server, example: "nats://localhost:4222"username
andpassword
: Optional, if provided use those for the connectionsubscriptions
:subscribe-to
: Where to expect the measurements to be publishedcluster-tag
: Default value for the cluster tag
http-api
:address
: Address to bind to, for example0.0.0.0:8080
https-cert-file
andhttps-key-file
: Optional, if provided enable HTTPS using those files as certificate/key
jwt-public-key
: Base64 encoded string, use this to verify requests to the HTTP APIretention-on-memory
: Keep all values in memory for at least that amount of timecheckpoints
:interval
: Do checkpoints every X seconds/minutes/hoursdirectory
: Path to a directoryrestore
: After a restart, load the last X seconds/minutes/hours of data back into memory
archive
:interval
: Move and compress all checkpoints not needed anymore every X seconds/minutes/hoursdirectory
: Path to a directory
Test the complete setup (excluding cc-backend itself)
There are two ways for sending data to the cc-metric-store, both of which are supported by the cc-metric-collector. This example uses NATS, the alternative is to use HTTP.
# Only needed once, downloads the docker image
docker pull nats:latest
# Start the NATS server
docker run -p 4222:4222 -ti nats:latest
Second, build and start the cc-metric-collector using the following as Sink-Config:
{
"type": "nats",
"host": "localhost",
"port": "4222",
"database": "updates"
}
Third, build and start the metric store. For this example here, the
config.json
file already in the repository should work just fine.
# Assuming you have a clone of this repo in ./cc-metric-store:
cd cc-metric-store
make
./cc-metric-store
And finally, use the API to fetch some data. The API is protected by JWT based
authentication if jwt-public-key
is set in config.json
. You can use this JWT
for testing:
eyJ0eXAiOiJKV1QiLCJhbGciOiJFZERTQSJ9.eyJ1c2VyIjoiYWRtaW4iLCJyb2xlcyI6WyJST0xFX0FETUlOIiwiUk9MRV9BTkFMWVNUIiwiUk9MRV9VU0VSIl19.d-3_3FZTsadPjDEdsWrrQ7nS0edMAR4zjl-eK7rJU3HziNBfI9PDHDIpJVHTNN5E5SlLGLFXctWyKAkwhXL-Dw
JWT="eyJ0eXAiOiJKV1QiLCJhbGciOiJFZERTQSJ9.eyJ1c2VyIjoiYWRtaW4iLCJyb2xlcyI6WyJST0xFX0FETUlOIiwiUk9MRV9BTkFMWVNUIiwiUk9MRV9VU0VSIl19.d-3_3FZTsadPjDEdsWrrQ7nS0edMAR4zjl-eK7rJU3HziNBfI9PDHDIpJVHTNN5E5SlLGLFXctWyKAkwhXL-Dw"
# If the collector and store and nats-server have been running for at least 60 seconds on the same host, you may run:
curl -H "Authorization: Bearer $JWT" -D - "http://localhost:8080/api/query" -d "{ \"cluster\": \"testcluster\", \"from\": $(expr $(date +%s) - 60), \"to\": $(date +%s), \"queries\": [{
\"metric\": \"load_one\",
\"host\": \"$(hostname)\"
}] }"
# ...
For debugging there is a debug endpoint to dump the current content to stdout:
JWT="eyJ0eXAiOiJKV1QiLCJhbGciOiJFZERTQSJ9.eyJ1c2VyIjoiYWRtaW4iLCJyb2xlcyI6WyJST0xFX0FETUlOIiwiUk9MRV9BTkFMWVNUIiwiUk9MRV9VU0VSIl19.d-3_3FZTsadPjDEdsWrrQ7nS0edMAR4zjl-eK7rJU3HziNBfI9PDHDIpJVHTNN5E5SlLGLFXctWyKAkwhXL-Dw"
# If the collector and store and nats-server have been running for at least 60 seconds on the same host, you may run:
curl -H "Authorization: Bearer $JWT" -D - "http://localhost:8080/api/debug"
# ...