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chore: tune test_rss_used_mem_gap (#3958)

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It appears that newer versions of the gh runner require more memory. Some cases of the test test_rss_used_mem_gap allocate more than 6.5-7 gb of memory leaving barely 0.5gb to the gh runner (7.5 in total available) which sometimes cause the instance to run out of memory.
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Kostas Kyrimis 2024-10-22 10:31:13 +03:00 committed by GitHub
parent e96a99a868
commit 119723316e
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1 changed files with 11 additions and 8 deletions
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19
tests/dragonfly/memory_test.py
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@ -9,21 +9,24 @@ from . import dfly_args
@pytest.mark.parametrize(
"type, keys, val_size, elements",
[
("JSON", 300_000, 100, 100),
("SET", 500_000, 100, 100),
("HASH", 400_000, 100, 100),
("ZSET", 400_000, 100, 100),
("LIST", 500_000, 100, 100),
("STRING", 6_000_000, 1000, 1),
("JSON", 200_000, 100, 100),
("SET", 280_000, 100, 100),
("HASH", 250_000, 100, 100),
("ZSET", 250_000, 100, 100),
("LIST", 300_000, 100, 100),
("STRING", 3_500_000, 1000, 1),
],
)
async def test_rss_used_mem_gap(df_factory, type, keys, val_size, elements):
# Create a Dragonfly and fill it up with `type` until it reaches `min_rss`, then make sure that
# the gap between used_memory and rss is no more than `max_unaccounted_ratio`.
min_rss = 5 * 1024 * 1024 * 1024 # 5gb
min_rss = 3 * 1024 * 1024 * 1024 # 3gb
max_unaccounted = 200 * 1024 * 1024 # 200mb
df_server = df_factory.create()
# We limit to 5gb just in case to sanity check the gh runner. Otherwise, if we ask for too much
# memory it might force the gh runner to run out of memory (since OOM killer might not even
# get a chance to run).
df_server = df_factory.create(maxmemory="5gb")
df_factory.start_all([df_server])
client = df_server.client()
await asyncio.sleep(1) # Wait for another RSS heartbeat update in Dragonfly