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Signed-off-by: ThreadDao <yufen.zong@zilliz.com> Signed-off-by: ThreadDao <yufen.zong@zilliz.com> Signed-off-by: ThreadDao <yufen.zong@zilliz.com> |
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.. | ||
constants.py | ||
README.md | ||
scale_common.py | ||
test_data_node_scale.py | ||
test_index_node_scale.py | ||
test_proxy_scale.py | ||
test_query_node_scale.py |
Scale Tests
Goal
Scale tests are designed to check the scalability of Milvus.
For instance, if the dataNode pod expands from one to two:
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verify the consistency of existing data
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verify that the DDL and DML operation is working
Prerequisite
- Kubernetes Cluster
- Milvus Operator (refer to Milvus Operator)
Test Scenarios
Milvus in cluster mode
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scale dataNode replicas
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expand / shrink indexNode replicas
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scale queryNode replicas
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scale proxy replicas
How it works
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Milvus scales the number of pods in a deployment based on the milvus operator
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Scale test decouple the milvus deployment from the test code
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Each test scenario is carried out along the process:
deploy milvus -> operate milvus -> scale milvus -> verify milvus -
Milvus deployment and milvus scaling are designed in
./customize/milvus_operator.py
Run
Manually
Run a single test scenario manually(take scale dataNode as instance):
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update update milvus image tag
IMAGE_TAG
inscale/constants.py
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run the commands below:
cd /milvus/tests/python_client/scale
pytest test_data_node_scale.py::TestDataNodeScale::test_expand_data_node -v -s
Nightly
still in planning