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test: add test migration in cache mode (#4413)

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Borys 2025-01-07 13:15:59 +02:00 • committed by GitHub
parent a520ce0195
commit aaf33d5a1f
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1 changed files with 10 additions and 4 deletions
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14
tests/dragonfly/cluster_test.py
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@ -1496,14 +1496,18 @@ async def test_network_disconnect_during_migration(df_factory):
@pytest.mark.parametrize(
"node_count, segments, keys, huge_values",
"node_count, segments, keys, huge_values, cache_mode",
[
pytest.param(3, 16, 20_000, 10),
pytest.param(3, 16, 20_000, 10, "false"),
pytest.param(3, 16, 20_000, 10, "true"),
# 1mb effectively disables breakdown of huge values.
# TODO: add a test that mixes huge and small values, see
# https://github.com/dragonflydb/dragonfly/pull/4144/files/11e5e387d31bcf1bc53dfbb28cf3bcaf094d77fa#r1850130930
pytest.param(3, 16, 20_000, 1_000_000),
pytest.param(5, 20, 30_000, 1_000_000, marks=[pytest.mark.slow, pytest.mark.opt_only]),
pytest.param(3, 16, 20_000, 1_000_000, "true"),
pytest.param(3, 16, 20_000, 1_000_000, "false"),
pytest.param(
5, 20, 30_000, 1_000_000, "false", marks=[pytest.mark.slow, pytest.mark.opt_only]
),
],
)
@dfly_args({"proactor_threads": 4, "cluster_mode": "yes"})
@ -1514,6 +1518,7 @@ async def test_cluster_fuzzymigration(
segments: int,
keys: int,
huge_values: int,
cache_mode: string,
):
instances = [
df_factory.create(
@ -1522,6 +1527,7 @@ async def test_cluster_fuzzymigration(
vmodule="outgoing_slot_migration=9,cluster_family=9,incoming_slot_migration=9,streamer=9",
serialization_max_chunk_size=huge_values,
replication_stream_output_limit=10,
cache_mode=cache_mode,
)
for i in range(node_count)
]