chore: import upstream snapshot with attribution

2026-07-13 12:31:17 +08:00
commit 498b235461
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+# Scale Tests
+## Goal
+Scale tests are designed to check the scalability of Milvus.
+
+For instance, if the dataNode pod expands from one to two:
+   - verify the consistency of existing data
+   
+   - verify that the DDL and DML operation is working
+
+## Prerequisite
+   - Kubernetes Cluster
+   - Milvus Operator (refer to [Milvus Operator](https://github.com/milvus-io/milvus-operator))
+
+## Test Scenarios
+### Milvus in cluster mode
+- scale dataNode replicas
+   
+- expand / shrink indexNode replicas
+
+- scale queryNode replicas
+
+- scale proxy replicas
+
+## How it works
+
+- Milvus scales the number of pods in a deployment based on the milvus operator
+  
+- Scale test decouple the milvus deployment from the test code
+  
+- Each test scenario is carried out along the process:
+  <br> 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):  
+  
+- update 
+update milvus image tag `IMAGE_TAG` in `scale/constants.py`
+  
+- run the commands below:  
+```bash  
+  cd /milvus/tests/python_client/scale  
+  
+  pytest test_data_node_scale.py::TestDataNodeScale::test_expand_data_node -v -s  
+```
+
+### Nightly 
+still in planning