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Add a test with negative priority in test_distributed_load_balancing
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@ -27,6 +27,7 @@
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<replica>
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<host>n2</host>
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<port>9000</port>
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<!-- will not be quieried, if n1 and n3 has errors_count == 0 -->
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<!-- <priority>1</priority> -->
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</replica>
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<replica>
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@ -37,6 +38,27 @@
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</shard>
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</replicas_priority_cluster>
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<replicas_priority_negative_cluster>
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<shard>
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<replica>
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<host>n1</host>
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<port>9000</port>
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<priority>-1</priority>
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</replica>
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<replica>
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<host>n2</host>
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<port>9000</port>
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<!-- will not be quieried, if n1 and n3 has errors_count == 0 -->
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<priority>0</priority>
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</replica>
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<replica>
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<host>n3</host>
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<port>9000</port>
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<priority>-1</priority>
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</replica>
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</shard>
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</replicas_priority_negative_cluster>
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<!-- For JOIN with system.clusters -->
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<shards_cluster>
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<node>
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@ -50,6 +50,13 @@ def bootstrap():
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currentDatabase(),
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data)
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""".format())
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n.query("""
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CREATE TABLE dist_priority_negative AS data
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Engine=Distributed(
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replicas_priority_negative_cluster,
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currentDatabase(),
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data)
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""".format())
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def make_uuid():
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return uuid.uuid4().hex
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@ -134,10 +141,14 @@ def test_load_balancing_round_robin():
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assert len(unique_nodes) == nodes, unique_nodes
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assert unique_nodes == set(['n1', 'n2', 'n3'])
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def test_load_balancing_priority_round_robin():
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@pytest.mark.parametrize('dist_table', [
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('dist_priority'),
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('dist_priority_negative'),
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])
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def test_load_balancing_priority_round_robin(dist_table):
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unique_nodes = set()
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for _ in range(0, nodes):
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unique_nodes.add(get_node(n1, 'dist_priority', settings={'load_balancing': 'round_robin'}))
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unique_nodes.add(get_node(n1, dist_table, settings={'load_balancing': 'round_robin'}))
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assert len(unique_nodes) == 2, unique_nodes
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# n2 has bigger priority in config
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assert unique_nodes == set(['n1', 'n3'])
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