test(pageserver): add test_gc_feedback_with_snapshots (#8474)

should be working after https://github.com/neondatabase/neon/pull/8328
gets merged. Part of https://github.com/neondatabase/neon/issues/8002

adds a new perf benchmark case that ensures garbages can be collected
with branches

---------

Signed-off-by: Alex Chi Z <chi@neon.tech>
This commit is contained in:
Alex Chi Z.
2024-07-31 17:55:19 -04:00
committed by GitHub
parent 3350daeb9a
commit d6c79b77df
2 changed files with 40 additions and 15 deletions

View File

@@ -67,6 +67,7 @@ FALLBACK_DURATION = {
"test_runner/performance/test_copy.py::test_copy[neon]": 13.817,
"test_runner/performance/test_copy.py::test_copy[vanilla]": 11.736,
"test_runner/performance/test_gc_feedback.py::test_gc_feedback": 575.735,
"test_runner/performance/test_gc_feedback.py::test_gc_feedback_with_snapshots": 575.735,
"test_runner/performance/test_gist_build.py::test_gist_buffering_build[neon]": 14.868,
"test_runner/performance/test_gist_build.py::test_gist_buffering_build[vanilla]": 14.393,
"test_runner/performance/test_latency.py::test_measure_read_latency_heavy_write_workload[neon-1]": 20.588,

View File

@@ -6,21 +6,8 @@ from fixtures.log_helper import log
from fixtures.neon_fixtures import NeonEnvBuilder
@pytest.mark.timeout(10000)
def test_gc_feedback(neon_env_builder: NeonEnvBuilder, zenbenchmark: NeonBenchmarker):
"""
Test that GC is able to collect all old layers even if them are forming
"stairs" and there are not three delta layers since last image layer.
Information about image layers needed to collect old layers should
be propagated by GC to compaction task which should take in in account
when make a decision which new image layers needs to be created.
NB: this test demonstrates the problem. The source tree contained the
`gc_feedback` mechanism for about 9 months, but, there were problems
with it and it wasn't enabled at runtime.
This PR removed the code: https://github.com/neondatabase/neon/pull/6863
"""
def gc_feedback_impl(neon_env_builder: NeonEnvBuilder, zenbenchmark: NeonBenchmarker, mode: str):
assert mode == "normal" or mode == "with_snapshots"
env = neon_env_builder.init_start()
client = env.pageserver.http_client()
@@ -74,6 +61,9 @@ def test_gc_feedback(neon_env_builder: NeonEnvBuilder, zenbenchmark: NeonBenchma
physical_size = client.timeline_detail(tenant_id, timeline_id)["current_physical_size"]
log.info(f"Physical storage size {physical_size}")
if mode == "with_snapshots":
if step == n_steps / 2:
env.neon_cli.create_branch("child")
max_num_of_deltas_above_image = 0
max_total_num_of_deltas = 0
@@ -149,3 +139,37 @@ def test_gc_feedback(neon_env_builder: NeonEnvBuilder, zenbenchmark: NeonBenchma
log.info(f"Writing layer map to {layer_map_path}")
with layer_map_path.open("w") as f:
f.write(json.dumps(client.timeline_layer_map_info(tenant_id, timeline_id)))
@pytest.mark.timeout(10000)
def test_gc_feedback(neon_env_builder: NeonEnvBuilder, zenbenchmark: NeonBenchmarker):
"""
Test that GC is able to collect all old layers even if them are forming
"stairs" and there are not three delta layers since last image layer.
Information about image layers needed to collect old layers should
be propagated by GC to compaction task which should take in in account
when make a decision which new image layers needs to be created.
NB: this test demonstrates the problem. The source tree contained the
`gc_feedback` mechanism for about 9 months, but, there were problems
with it and it wasn't enabled at runtime.
This PR removed the code: https://github.com/neondatabase/neon/pull/6863
And the bottom-most GC-compaction epic resolves the problem.
https://github.com/neondatabase/neon/issues/8002
"""
gc_feedback_impl(neon_env_builder, zenbenchmark, "normal")
@pytest.mark.timeout(10000)
def test_gc_feedback_with_snapshots(
neon_env_builder: NeonEnvBuilder, zenbenchmark: NeonBenchmarker
):
"""
Compared with `test_gc_feedback`, we create a branch without written data (=snapshot) in the middle
of the benchmark, and the bottom-most compaction should collect as much garbage as possible below the GC
horizon. Ideally, there should be images (in an image layer) covering the full range at the branch point,
and images covering the full key range (in a delta layer) at the GC horizon.
"""
gc_feedback_impl(neon_env_builder, zenbenchmark, "with_snapshots")