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15ce8aedd8
related issue: #46616 <!-- This is an auto-generated comment: release notes by coderabbit.ai --> - Core invariant: these tests assume the v2 group-by search implementation (TestMilvusClientV2Base and pymilvus v2 APIs such as AnnSearchRequest/WeightedRanker) is functionally correct; the PR extends coverage to validate group-by semantics when using JSON fields and dynamic fields (see tests/python_client/milvus_client_v2/test_milvus_client_search_group_by.py — TestGroupSearch.setup_class and parametrized group_by_field cases). - Logic removed/simplified: legacy v1 test scaffolding and duplicated parametrized fixtures/test permutations were consolidated into v2-focused suites (TestGroupSearch now inherits TestMilvusClientV2Base; old TestGroupSearch/TestcaseBase patterns and large blocks in test_mix_scenes were removed) to avoid redundant fixture permutations and duplicate assertions while reusing shared helpers in common_func (e.g., gen_scalar_field, gen_row_data_by_schema) and common_type constants. - Why this does NOT introduce data loss or behavior regression: only test code, test helpers, and test imports were changed — no production/server code altered. Test helper changes are backward-compatible (gen_scalar_field forces primary key nullable=False and only affects test data generation paths in tests/python_client/common/common_func.py; get_field_dtype_by_field_name now accepts schema dicts/ORM schemas and is used only by tests to choose vector generation) and collection creation/insertion in tests use the same CollectionSchema/FieldSchema paths, so production storage/serialization logic is untouched. - New capability (test addition): adds v2 test coverage for group-by search over JSON and dynamic fields plus related scenarios — pagination, strict/non-strict group_size, min/max group constraints, multi-field group-bys and binary vector cases — implemented in tests/python_client/milvus_client_v2/test_milvus_client_search_group_by.py to address issue #46616. <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Signed-off-by: yanliang567 <yanliang.qiao@zilliz.com>
Tests
E2E Test
Configuration Requirements
Operating System
| Operating System | Version |
|---|---|
| Amazon Linux | 2023 or above |
| Ubuntu | 20.04 or above |
| Mac | 10.14 or above |
Hardware
| Hardware Type | Recommended Configuration |
|---|---|
| CPU | x86_64 architecture Intel CPU Sandy Bridge or above CPU Instruction Set - SSE4_2 - AVX - AVX2 - AVX512 or arm64 Linux/MacOS |
| Memory | 16 GB or more |
Software
| Software Name | Version |
|---|---|
| Docker | 19.05 or above |
| Docker Compose | 1.25.5 or above |
| jq | 1.3 or above |
| kubectl | 1.14 or above |
| helm | 3.0 or above |
| kind | 0.10.0 or above |
Installing Dependencies
Troubleshooting Docker and Docker Compose
- Confirm that Docker Daemon is running：
$ docker info
-
Ensure that Docker is installed. Refer to the official installation instructions for Docker CE/EE.
-
Start the Docker Daemon if it is not already started.
-
To run Docker without
rootprivileges, create a user group labeleddocker, then add a user to the group withsudo usermod -aG docker $USER. Log out and log back into the terminal for the changes to take effect. For more information, see the official Docker documentation for Managing Docker as a Non-Root User.
- Check the version of Docker-Compose
$ docker compose version
docker compose version 1.25.5, build 8a1c60f6
docker-py version: 4.1.0
CPython version: 3.7.5
OpenSSL version: OpenSSL 1.1.1f 31 Mar 2020
- To install Docker-Compose, see Install Docker Compose
Install jq
Install kubectl
Install helm
- Refer to https://helm.sh/docs/intro/install/
Install kind
Run E2E Tests
$ cd tests/scripts
$ ./e2e-k8s.sh
Getting help
You can get help with the following command:
$ ./e2e-k8s.sh --help