## Problem
Currently, after updating `Dockerfile.build-tools` in a PR, it requires
a manual action to make it `pinned`, i.e., the default for everyone. It
also makes all opened PRs use such images (even created in the PR and
without such changes).
This PR overhauls the way we build and use `build-tools` image (and uses
the image from Docker Hub).
## Summary of changes
- The `neondatabase/build-tools` image gets tagged with the latest
commit sha for the `Dockerfile.build-tools` file
- Each PR calculates the tag for `neondatabase/build-tools`, tries to
pull it, and rebuilds the image with such tag if it doesn't exist.
- Use `neondatabase/build-tools` as a default image
- When running on `main` branch — create a `pinned` tag and push it to
ECR
- Use `concurrency` to ensure we don't build `build-tools` image for the
same commit in parallel from different PRs
## Problem
We use a bunch of deprecated actions.
See https://github.com/neondatabase/neon/actions/runs/7958569728
(Annotations section)
```
Node.js 16 actions are deprecated. Please update the following actions to use Node.js 20: actions/checkout@v3, actions/setup-java@v3, actions/cache@v3, actions/github-script@v6. For more information see: https://github.blog/changelog/2023-09-22-github-actions-transitioning-from-node-16-to-node-20/.
```
## Summary of changes
- `actions/cache@v3` -> `actions/cache@v4`
- `actions/checkout@v3` -> `actions/checkout@v4`
- `actions/github-script@v6` -> `actions/github-script@v7`
- `actions/setup-java@v3` -> `actions/setup-java@v4`
- `actions/upload-artifact@v3` -> `actions/upload-artifact@v4`
## Problem
To understand differences in performance between neon, aurora and rds we
want to collect explain analyze plans and pg_stat_statements for
selected benchmarking runs
## Summary of changes
Add workflow input options to collect explain and pg_stat_statements for
benchmarking workflow
Co-authored-by: BodoBolero <bodobolero@gmail.com>
## Problem
Add a CI pipeline that checks GitHub Workflows with
https://github.com/rhysd/actionlint (it uses `shellcheck` for shell
scripts in steps)
To run it locally: `SHELLCHECK_OPTS=--exclude=SC2046,SC2086 actionlint`
## Summary of changes
- Add `.github/workflows/actionlint.yml`
- Fix actionlint warnings
## Problem
- `SCALE: unbound variable` from
https://github.com/neondatabase/neon/pull/5079
- The layout of the GitHub auto-comment is broken if the code coverage
section follows flaky test section from
https://github.com/neondatabase/neon/pull/4999
## Summary of changes
- `benchmarking.yml`: Rename `SCALE` to `TEST_OLAP_SCALE`
- `comment-test-report.js`: Add an extra new-line before Code coverage
section
## Problem
It's hard to find out which DB size we use for OLAP benchmarks (TPC-H in
particular).
This PR adds handling of `TEST_OLAP_SCALE` env var, which is get added
to a test name as a parameter.
This is required for performing larger periodic benchmarks.
## Summary of changes
- Handle `TEST_OLAP_SCALE` in
`test_runner/performance/test_perf_olap.py`
- Set `TEST_OLAP_SCALE` in `.github/workflows/benchmarking.yml` to a
TPC-H scale
## Problem
In the test environment vacuum duration fluctuates from ~1h to ~5h, along
with another two 1h benchmarks (`select-only` and `simple-update`) it
could be up to 7h which is longer than 6h timeout.
## Summary of changes
- Increase timeout for pgbench-compare job to 8h
- Remove 6h timeouts from Nightly Benchmarks (this is a default value)
This PR adds tests runs on Postgres 15 and created unified Allure report
with results for all tests.
- Split `.github/actions/allure-report` into
`.github/actions/allure-report-store` and
`.github/actions/allure-report-generate`
- Add debug or release pytest parameter for all tests (depending on
`BUILD_TYPE` env variable)
- Add Postgres version as a pytest parameter for all tests (depending on
`DEFAULT_PG_VERSION` env variable)
- Fix `test_wal_restore` and `restore_from_wal.sh` to support path with
`[`/`]` in it (fixed by applying spellcheck to the script and fixing all
warnings), `restore_from_wal_archive.sh` is deleted as unused.
- All known failures on Postgres 15 marked with xfail
We have enabled prefetch by default, let's use this in Nightly
Benchmarks:
- effective_io_concurrency=100 by default (instead of 32)
- maintenance_io_concurrency=100 by default (instead of 32)
Rename `neon-captest-prefetch` to `neon-captest-new` (for pgbench with
initialisation) and `neon-captest-reuse` (for OLAP scenarios)
Do not run Nightly Benchmarks on `neon-captest-new`.
This is a temporary solution to avoid spikes in the storage we consume
during the test run. To collect data for the default instance, we could
run tests weekly (i.e. not daily).
Migrate Nightly Benchmarks from captest to staging.
- Migrate GitHub Workflows
- Replace `zenith-benchmarker` with regular runners
- Remove `environment` parameter from Neon GitHub Actions, add
`postgres_version`
- The only job left on captest is `neon-captest-reuse`, which will be
moved to staging after its project migration.
Ref https://github.com/neondatabase/cloud/issues/2836
- Replace `seqscan_prefetch_buffers` with `effective_io_concurrency` and
`maintenance_io_concurrency` for `clickbench-compare` job (see
https://github.com/neondatabase/neon/pull/2876)
- Get the database name in a runtime (it can be `main` or `neondb` or
something else)
- **Enable `enable_seqscan_prefetch` by default**
- Drop use of `seqscan_prefetch_buffers` in favor of
`[maintenance,effective]_io_concurrency`
This includes adding some fields to the HeapScan execution node, and
vacuum state.
- Cleanup some conditionals in vacuumlazy.c
- Clarify enable_seqscan_prefetch GUC description
- Fix issues in heap SeqScan prefetching where synchronize_seqscan
machinery wasn't handled properly.
Add ClickBench benchmark, an OLAP-style benchmark, to Nightly
Benchmarks.
The full run of 43 queries on the original dataset takes more than 6h
(only 34 queries got processed on in 6h) on our default-sized compute.
Having this, currently, would mean having some really unstable tests
because of our regular deployment to staging/captest environment (see
https://github.com/neondatabase/cloud/issues/1872).
I've reduced the dataset size to the first 10^7 rows from the original
10^8 rows. Now it takes ~30-40 minutes to pass.
Ref https://github.com/ClickHouse/ClickBench/tree/main/aurora-postgresql
Ref https://benchmark.clickhouse.com/
Commit 43a4f7173e fixed the case that there are extra options in the
connection string, but broke it in the case when there are not. Fix
that. But on second thoughts, it's more straightforward set the
options with ALTER DATABASE, so change the workflow yaml file to do
that instead.
* github/actions: add neon projects related actions
* workflows/benchmarking: create projects using API
* workflows/pg_clients: create projects using API
- Remove batch_others/test_pgbench.py. It was a quick check that pgbench
works, without actually recording any performance numbers, but that
doesn't seem very interesting anymore. Remove it to avoid confusing it
with the actual pgbench benchmarks
- Run pgbench with "-n" and "-S" options, for two different workloads:
simple-updates, and SELECT-only. Previously, we would only run it with
the "default" TPCB-like workload. That's more or less the same as the
simple-update (-n) workload, but I think the simple-upload workload
is more relevant for testing storage performance. The SELECT-only
workload is a new thing to measure.
- Merge test_perf_pgbench.py and test_perf_pgbench_remote.py. I added
a new "remote" implementation of the PgCompare class, which allows
running the same tests against an already-running Postgres instance.
- Make the PgBenchRunResult.parse_from_output function more
flexible. pgbench can print different lines depending on the
command-line options, but the parsing function expected a particular
set of lines.
