compute_tools/README.md
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.PGDATA directory.basebackup from pageserver using the returned on the previous step LSN.postgres and wait until it is ready to accept connections.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
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 --> TerminationPendingFast : Requested termination
Empty --> TerminationPendingImmediate : Requested termination
Init --> Failed : Failed to start Postgres
Init --> Running : Started Postgres
Running --> TerminationPendingFast : Requested termination
Running --> TerminationPendingImmediate : Requested termination
Running --> ConfigurationPending : Received a /configure request with spec
Running --> RefreshConfigurationPending : Received a /refresh_configuration request, compute node will pull a new spec and reconfigure
RefreshConfigurationPending --> RefreshConfiguration: Received compute spec and started configuration
RefreshConfiguration --> Running : Compute has been re-configured
RefreshConfiguration --> RefreshConfigurationPending : Configuration failed and to be retried
TerminationPendingFast --> Terminated compute with 30s delay for cplane to inspect status
TerminationPendingImmediate --> Terminated : Terminated compute immediately
Failed --> RefreshConfigurationPending : Received a /refresh_configuration request
Failed --> [*] : Compute exited
Terminated --> [*] : Compute exited
Cargo formatter:
cargo fmt
Run tests:
cargo test
Clippy linter:
cargo clippy --all --all-targets -- -Dwarnings -Drust-2018-idioms
Imaging that you are on macOS (x86) and you want a Linux GNU (x86_64-unknown-linux-gnu platform in rust terminology) executable.
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
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