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chore: Fix test_rss_used_mem_gap
for all types (#4254)
* chore: Fix `test_rss_used_mem_gap` for all types The test fails when it checks the gap between `used_memory` and `object_used_memory`, by assuming that all used memory is consumed by the `type` it `DEBUG POPULATE`s with. This assumption is wrong, because there are other overheads, for example the dash table and string keys. The test failed for types `STRING` and `LIST` because they used a larger number of keys as part of the test parameters, which added a larger overhead. I fixed the parameters such that all types use the same number of keys, and also the same number of elements, modifying only the element sizes (except for `STRING` which doesn't have sub-elements) so that the overall `min_rss` requirement of 3.5gb still passes. Fixes #3723 * threshold * list * comments test assert * previous numbers * ???
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1 changed files with 7 additions and 6 deletions
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@ -63,7 +63,7 @@ async def test_rss_used_mem_gap(df_server: DflyInstance, type, keys, val_size, e
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client = df_server.client()
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client = df_server.client()
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await asyncio.sleep(1) # Wait for another RSS heartbeat update in Dragonfly
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await asyncio.sleep(1) # Wait for another RSS heartbeat update in Dragonfly
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cmd = f"DEBUG POPULATE {keys} {type} {val_size} RAND TYPE {type} ELEMENTS {elements}"
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cmd = f"DEBUG POPULATE {keys} k {val_size} RAND TYPE {type} ELEMENTS {elements}"
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print(f"Running {cmd}")
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print(f"Running {cmd}")
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await client.execute_command(cmd)
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await client.execute_command(cmd)
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@ -76,11 +76,12 @@ async def test_rss_used_mem_gap(df_server: DflyInstance, type, keys, val_size, e
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# It could be the case that the machine is configured to use swap if this assertion fails
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# It could be the case that the machine is configured to use swap if this assertion fails
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assert delta > 0
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assert delta > 0
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assert delta < max_unaccounted
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assert delta < max_unaccounted
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delta = info["used_memory_rss"] - info["object_used_memory"]
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# TODO investigate why it fails on string
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if type != "STRING" and type != "JSON":
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if type == "JSON" or type == "STREAM":
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# STRINGs keep some of the data inline, so not all of it is accounted in object_used_memory
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assert delta > 0
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# We have a very small over-accounting bug in JSON
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assert delta < max_unaccounted
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assert info["object_used_memory"] > keys * elements * val_size
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assert info["used_memory"] > info["object_used_memory"]
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@pytest.mark.asyncio
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@pytest.mark.asyncio
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