milvus/tests/python_client/scale

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

• Milvus Helm Chart ( refer to Milvus Helm Chart )

Test Scenarios

Milvus in cluster mode

• expand / shrink dataNode pod

• expand / shrink indexNode pod

• expand / shrink queryNode pod

• expand / shrink proxy pod

How it works

• Milvus scales the number of pods in a deployment based on the helm upgrade

• Scale test decouple the milvus deployment from the test code

• 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 helm_env.py

Run

Manually

Run a single test scenario manually(take scale dataNode as instance):

• update milvus helm chart path (choose one of the following)

  • export MILVUS_CHART_ENV=/your/milvus-helm/charts/milvus

  • update MILVUS_CHART = '/home/zong/milvus-helm/charts/milvus' in scale/constants.py

• 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