Files
neon/compute_tools
Alexey Kondratov 557127550c feat(compute): Add compute_ctl_up metric (#11376)
## 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.
2025-04-01 08:51:17 +00:00
..
2025-03-18 13:05:08 +00:00
2024-03-20 17:10:46 -05:00

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_ctl accepts 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 PGDATA directory.
  • Sync safekeepers and get commit LSN.
  • Get basebackup from pageserver using the returned on the previous step LSN.
  • Try to start postgres and wait until it is ready to accept connections.
  • Check and alter/drop/create roles and databases.
  • Hang waiting on the postmaster process to exit.

Also compute_ctl spawns two separate service threads:

  • compute-monitor checks the last Postgres activity timestamp and saves it into the shared ComputeNode;
  • http-endpoint runs 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