## Problem
We started to store test results in a new format in
https://github.com/neondatabase/neon/pull/4549.
This PR switches scripts to query this db.
(we can completely remove old DB/ingestions scripts in a couple of
weeks after the PR merged)
## Summary of changes
- `scripts/benchmark_durations.py` query new database
- `scripts/flaky_tests.py` query new database
## Problem
- Because we compress artifacts file by file, we don't need to put them
into `tar` containers (ie instead of `tar.gz` we can use just `gz`).
- Pythons gz single-threaded and pretty slow.
A benchmark has shown ~20 times speedup (19.876176291 vs
0.8748335830000009) on my laptop (for a pageserver.log size is 1.3M)
## Summary of changes
- Replace tarfile with zstandart
- Update allure to 2.24.0
This adds PostgreSQL 16 as a vendored postgresql version, and adapts the
code to support this version.
The important changes to PostgreSQL 16 compared to the PostgreSQL 15
changeset include the addition of a neon_rmgr instead of altering Postgres's
original WAL format.
Co-authored-by: Alexander Bayandin <alexander@neon.tech>
Co-authored-by: Heikki Linnakangas <heikki@neon.tech>
## Problem
We still need to rerun some builds manually because flaky tests weren't
detected automatically.
I found two reasons for it:
- If a test is flaky on a particular build type, on a particular
Postgres version, there's a high chance that this test is flaky on all
configurations, but we don't automatically detect such cases.
- We detect flaky tests only on the main branch, which requires manual
retrigger runs for freshly made flaky tests.
Both of them are fixed in the PR.
## Summary of changes
- Spread flakiness of a single test to all configurations
- Detect flaky tests in all branches (not only in the main)
- Look back only at 7 days of test history (instead of 10)
## Problem
While adding new test results format, I've also changed the way we
upload Allure reports to S3
(722c7956bb)
to avoid duplicated results from previous runs. But it broke links at
earlier results (results are still available but on different URLs).
This PR fixes this (by reverting logic in
722c7956bb
changes), and moves the logic for storing test results into db to allure
generate step. It allows us to avoid test results duplicates in the db
and saves some time on extra s3 downloads that happened in a different
job before the PR.
Ref https://neondb.slack.com/archives/C059ZC138NR/p1691669522160229
## Summary of changes
- Move test results storing logic from a workflow to
`actions/allure-report-generate`
## Problem
The current test history format is a bit inconvenient:
- It stores all test results in one row, so all queries should include
subqueries which expand the test
- It includes duplicated test results if the rerun is triggered manually
for one of the test jobs (for example, if we rerun `debug-pg14`, then
the report will include duplicates for other build types/postgres
versions)
- It doesn't have a reference to run_id, which we use to create a link
to allure report
Here's the proposed new format:
```
id BIGSERIAL PRIMARY KEY,
parent_suite TEXT NOT NULL,
suite TEXT NOT NULL,
name TEXT NOT NULL,
status TEXT NOT NULL,
started_at TIMESTAMPTZ NOT NULL,
stopped_at TIMESTAMPTZ NOT NULL,
duration INT NOT NULL,
flaky BOOLEAN NOT NULL,
build_type TEXT NOT NULL,
pg_version INT NOT NULL,
run_id BIGINT NOT NULL,
run_attempt INT NOT NULL,
reference TEXT NOT NULL,
revision CHAR(40) NOT NULL,
raw JSONB COMPRESSION lz4 NOT NULL,
```
## Summary of changes
- Misc allure changes:
- Update allure to 2.23.1
- Delete files from previous runs in HTML report (by using `sync
--delete` instead of `mv`)
- Use `test-cases/*.json` instead of `suites.json`, using this directory
allows us to catch all reruns.
- Until we migrated `scripts/flaky_tests.py` and
`scripts/benchmark_durations.py` store test results in 2 formats (in 2
different databases).
## Problem
We've got an example of Allure reports from 2 different runners for the
same build that started to upload at the exact second, making one
overwrite another
## Summary of changes
- Use the Postgres version to distinguish artifacts (along with the
build type)
## Problem
Benchmarks run takes about an hour on main branch (in a single job),
which delays pipeline results. And it takes another hour if we want to
restart the job due to some failures.
## Summary of changes
- Use `pytest-split` plugin to run benchmarks on separate CI runners in
4 parallel jobs
- Add `scripts/benchmark_durations.py` for getting benchmark durations
from the database to help `pytest-split` schedule tests more evenly. It
uses p99 for the last 10 days' results (durations).
The current distribution could be better; each worker's durations vary
from 9m to 35m, but this could be improved in consequent PRs.
## Problem
Postgres submodule can be changed unintentionally, and these changes are
easy to miss during the review.
Adding a check that should prevent this from happening, the check fails
`build-neon` job with the following message:
```
Expected postgres-v14 rev to be at '1414141414141414141414141414141414141414', but it is at '1144aee1661c79eec65e784a8dad8bd450d9df79'
Expected postgres-v15 rev to be at '1515151515151515151515151515151515151515', but it is at '1984832c740a7fa0e468bb720f40c525b652835d'
Please update vendors/revisions.json if these changes are intentional.
```
This is an alternative approach to
https://github.com/neondatabase/neon/pull/4603
## Summary of changes
- Add `vendor/revisions.json` file with expected revisions
- Add built-time check (to `build-neon` job) that Postgres submodules
match revisions from `vendor/revisions.json`
- A couple of small improvements for logs from
https://github.com/neondatabase/neon/pull/4603
- Fixed GitHub autocomment for no tests was run case
---------
Co-authored-by: Joonas Koivunen <joonas@neon.tech>
## Problem
`pytest` 6 truncates error messages and this is not configured.
It's fixed in `pytest` 7, it prints the whole message (truncating limit
is higher) if `--verbose` is set (it's set on CI).
## Summary of changes
- `pytest` and `pytest` plugins are updated to their latest versions
- linters (`black` and `ruff`) are updated to their latest versions
- `mypy` and types are updated to their latest versions, new warnings
are fixed
- while we're here, allure updated its latest version as well
- Group tests by Postgres version
- Merge different build types
- Add a command to GitHub comment on how to rerun all failed tests
(different command for different Postgres versions)
- Restore a link to a test report in the build summary
## Problem
Compatibility tests don't support Postgres 15 yet, but we're still
trying to upload compatibility snapshot (which we do not collect).
Ref
https://github.com/neondatabase/neon/actions/runs/4991394158/jobs/8940369368#step:4:38129
## Summary of changes
Add `pg_version` parameter to `run-python-test-set` actions and do not
upload compatibility snapshot for Postgres 15
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
This PR adds posting a comment with test results. Each workflow run
updates the comment with new results.
The layout and the information that we post can be changed to our needs,
right now, it contains failed tests and test which changes status after
rerun (i.e. flaky tests)
This PR adds a plugin that automatically reruns (up to 3 times) flaky
tests. Internally, it uses data from `TEST_RESULT_CONNSTR` database and
`pytest-rerunfailures` plugin.
As the first approximation we consider the test flaky if it has failed on
the main branch in the last 10 days.
Flaky tests are fetched by `scripts/flaky_tests.py` script (it's
possible to use it in a standalone mode to learn which tests are flaky),
stored to a JSON file, and then the file is passed to the pytest plugin.
This reverts commit 56a4466d0a.
Seems that flackiness increased after this commit, while the time
decrease was a couple of seconds.
With every regular Python test spawing 1 etcd, 3 safekeepers, 1
pageserver, few CLI commands and post-run cleanup hooks, it might be
hard to run many such tests in parallel.
We could return to this later, after we consider alternative test
structure and/or CI runner structure.
I have experimented with the runner threads number, and looks like 8
threads win us a few seconds.
Bumping the thread count more did not improve the situation much:
* 20 threads were not allowed by pytest
* 16 threads were flacking quite notably
My guess would be that all pageservers, safekeepers, and other nodes we
start occupy quite much of the CPU and other resources to make this
approach more scalable.
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
Change the default region for staging from `us-east-1` to `us-east-2`
for project creation.
Remove REGION_ID from `neon-branch-create` since we don't use it.
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/
Add `neon-branch-create` / `neon-branch-delete` to allow using branches
in tests.
I have a couple of use cases in mind:
- For destructive tests with a big DB, we can create the DB once in
advance and then use branches without the need to recreate the DB itself
after tests change it.
- We can run tests in parallel (if there're compute-bound).
Also migrate API v2 for `neon-project-create` / `neon-project-delete`
Add `test_forward_compatibility`, which checks if it's going to
be possible to roll back a release to the previous version.
The test uses artifacts (Neon & Postgres binaries) from the previous
release to start Neon on the repo created by the current version. It
performs exactly the same checks as `test_backward_compatibility` does.
Single `ALLOW_BREAKING_CHANGES` env var got replaced by
`ALLOW_BACKWARD_COMPATIBILITY_BREAKAGE` &
`ALLOW_FORWARD_COMPATIBILITY_BREAKAGE` and can be set by `backward
compatibility breakage` and `forward compatibility breakage` labels
respectively.
* github/actions: add neon projects related actions
* workflows/benchmarking: create projects using API
* workflows/pg_clients: create projects using API
* Add submodule postgres-15
* Support pg_15 in pgxn/neon
* Renamed zenith -> neon in Makefile
* fix name of codestyle check
* Refactor build system to prepare for building multiple Postgres versions.
Rename "vendor/postgres" to "vendor/postgres-v14"
Change Postgres build and install directory paths to be version-specific:
- tmp_install/build -> pg_install/build/14
- tmp_install/* -> pg_install/14/*
And Makefile targets:
- "make postgres" -> "make postgres-v14"
- "make postgres-headers" -> "make postgres-v14-headers"
- etc.
Add Makefile aliases:
- "make postgres" to build "postgres-v14" and in future, "postgres-v15"
- similarly for "make postgres-headers"
Fix POSTGRES_DISTRIB_DIR path in pytest scripts
* Make postgres version a variable in codestyle workflow
* Support vendor/postgres-v15 in codestyle check workflow
* Support postgres-v15 building in Makefile
* fix pg version in Dockerfile.compute-node
* fix kaniko path
* Build neon extensions in version-specific directories
* fix obsolete mentions of vendor/postgres
* use vendor/postgres-v14 in Dockerfile.compute-node.legacy
* Use PG_VERSION_NUM to gate dependencies in inmem_smgr.c
* Use versioned ECR repositories and image names for compute-node.
The image name format is compute-node-vXX, where XX is postgres major version number.
For now only v14 is supported.
Old format unversioned name (compute-node) is left, because cloud repo depends on it.
* update vendor/postgres submodule url (zenith->neondatabase rename)
* Fix postgres path in python tests after rebase
* fix path in regress test
* Use separate dockerfiles to build compute-node:
Dockerfile.compute-node-v15 should be identical to Dockerfile.compute-node-v14 except for the version number.
This is a hack, because Kaniko doesn't support build ARGs properly
* bump vendor/postgres-v14 and vendor/postgres-v15
* Don't use Kaniko cache for v14 and v15 compute-node images
* Build compute-node images for different versions in different jobs
Co-authored-by: Heikki Linnakangas <heikki@neon.tech>
Merge batch_others and batch_pg_regress. The original idea was to
split all the python tests into multiple "batches" and run each batch
in parallel as a separate CI job. However, the batch_pg_regress batch
was pretty short compared to all the tests in batch_others. We could
split batch_others into multiple batches, but it actually seems better
to just treat them as one big pool of tests and use pytest's handle
the parallelism on its own. If we need to split them across multiple
nodes in the future, we could use pytest-shard or something else,
instead of managing the batches ourselves.
Merge test_neon_regress.py, test_pg_regress.py and test_isolation.py
into one file, test_pg_regress.py. Seems more clear to group all
pg_regress-based tests into one file, now that they would all be in
the same directory.
