Files
neon/compute_tools
Lassi Pölönen 41d364a8f1 Add more detailed logging to compute_ctl's shutdown (#3915)
Currently we don't see from the logs, if shutting down tracing takes
long time or not. We do see that shutting down computes gets delayed for
some reason and hits thhe grace period limit. Moving the shutdown
message to slightly later, when we don't have anything else than just
exit left.
## Issue ticket number and link

## Checklist before requesting a review
- [x] I have performed a self-review of my code.
- [ ] If it is a core feature, I have added thorough tests.
- [ ] Do we need to implement analytics? if so did you add the relevant
metrics to the dashboard?
- [ ] If this PR requires public announcement, mark it with
/release-notes label and add several sentences in this section.
2023-03-30 22:02:39 +03:00
..

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 the vm-informant binary is present at /bin/vm-informant, it will also be started. For VM compute nodes, vm-informant communicates with the VM autoscaling system. It coordinates downscaling and (eventually) will request 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

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