## Problem For computes running inside NeonVM, the actual compute image tag is buried inside the NeonVM spec, and we cannot get it as part of standard k8s container metrics (it's always an image and a tag of the NeonVM runner container). The workaround we currently use is to extract the running computes info from the control plane database with SQL. It has several drawbacks: i) it's complicated, separate DB per region; ii) it's slow; iii) it's still an indirect source of info, i.e. k8s state could be different from what the control plane expects. ## Summary of changes Add a new `compute_ctl_up` gauge metric with `build_tag` and `status` labels. It will help us to both overview what are the tags/versions of all running computes; and to break them down by current status (`empty`, `running`, `failed`, etc.) Later, we could introduce low cardinality (no endpoint or compute ids) streaming aggregates for such metrics, so they will be blazingly fast and usable for monitoring the fleet-wide state.
Compute node tools
Postgres wrapper (compute_ctl) is intended to be run as a Docker entrypoint or as a systemd
ExecStart option. It will handle all the Neon specifics during compute node
initialization:
compute_ctlaccepts cluster (compute node) specification as a JSON file.- Every start is a fresh start, so the data directory is removed and initialized again on each run.
- Next it will put configuration files into the
PGDATAdirectory. - Sync safekeepers and get commit LSN.
- Get
basebackupfrom pageserver using the returned on the previous step LSN. - Try to start
postgresand wait until it is ready to accept connections. - Check and alter/drop/create roles and databases.
- Hang waiting on the
postmasterprocess to exit.
Also compute_ctl spawns two separate service threads:
compute-monitorchecks the last Postgres activity timestamp and saves it into the sharedComputeNode;http-endpointruns a Hyper HTTP API server, which serves readiness and the last activity requests.
If AUTOSCALING environment variable is set, compute_ctl will start the
vm-monitor located in [neon/libs/vm_monitor]. For VM compute nodes,
vm-monitor communicates with the VM autoscaling system. It coordinates
downscaling and requests immediate upscaling under resource pressure.
Usage example:
compute_ctl -D /var/db/postgres/compute \
-C 'postgresql://cloud_admin@localhost/postgres' \
-S /var/db/postgres/specs/current.json \
-b /usr/local/bin/postgres
State Diagram
Computes can be in various states. Below is a diagram that details how a compute moves between states.
%% https://mermaid.js.org/syntax/stateDiagram.html
stateDiagram-v2
[*] --> Empty : Compute spawned
Empty --> ConfigurationPending : Waiting for compute spec
ConfigurationPending --> Configuration : Received compute spec
Configuration --> Failed : Failed to configure the compute
Configuration --> Running : Compute has been configured
Empty --> Init : Compute spec is immediately available
Empty --> TerminationPending : Requested termination
Init --> Failed : Failed to start Postgres
Init --> Running : Started Postgres
Running --> TerminationPending : Requested termination
TerminationPending --> Terminated : Terminated compute
Failed --> [*] : Compute exited
Terminated --> [*] : Compute exited
Tests
Cargo formatter:
cargo fmt
Run tests:
cargo test
Clippy linter:
cargo clippy --all --all-targets -- -Dwarnings -Drust-2018-idioms
Cross-platform compilation
Imaging that you are on macOS (x86) and you want a Linux GNU (x86_64-unknown-linux-gnu platform in rust terminology) executable.
Using docker
You can use a throw-away Docker container (rustlang/rust image) for doing that:
docker run --rm \
-v $(pwd):/compute_tools \
-w /compute_tools \
-t rustlang/rust:nightly cargo build --release --target=x86_64-unknown-linux-gnu
or one-line:
docker run --rm -v $(pwd):/compute_tools -w /compute_tools -t rust:latest cargo build --release --target=x86_64-unknown-linux-gnu
Using rust native cross-compilation
Another way is to add x86_64-unknown-linux-gnu target on your host system:
rustup target add x86_64-unknown-linux-gnu
Install macOS cross-compiler toolchain:
brew tap SergioBenitez/osxct
brew install x86_64-unknown-linux-gnu
And finally run cargo build:
CARGO_TARGET_X86_64_UNKNOWN_LINUX_GNU_LINKER=x86_64-unknown-linux-gnu-gcc cargo build --target=x86_64-unknown-linux-gnu --release