mirror of
https://gitee.com/milvus-io/milvus.git
synced 2026-01-07 19:31:51 +08:00
/kind improvement <!-- This is an auto-generated comment: release notes by coderabbit.ai --> - Core invariant: test infrastructure treats insertion granularity as orthogonal to data semantics—bulk generation gen_row_data_by_schema(nb=2000, start=0, random_pk=False) yields the same sequential PKs and vector payloads as prior multi-batch inserts, so tests relying on collection lifecycle, flush, index build, load and search behave identically. - What changed / simplified: added a full HNSW_PQ parameterized test suite (tests/python_client/testcases/indexes/idx_hnsw_pq.py and test_hnsw_pq.py) and simplified HNSW_SQ test insertion by replacing looped per-batch generation+insert with a single bulk gen_row_data_by_schema(...) + insert. The per-batch PK sequencing and repeated vector generation were redundant for correctness and were removed to reduce complexity. - Why this does NOT cause data loss or behavior regression: the post-insert code paths remain unchanged—tests still call client.flush(), create_index(...), util.wait_for_index_ready(), collection.load(), and perform searches that assert describe_index and search outputs. Because start=0 and random_pk=False reproduce identical sequential PKs (0..1999) and the same vectors, index creation and search validation operate on identical data and index parameters, preserving previous assertions and outcomes. - New capability: comprehensive HNSW_PQ coverage (build params: M, efConstruction, m, nbits, refine, refine_type; search params: ef, refine_k) across vector types (FLOAT_VECTOR, FLOAT16_VECTOR, BFLOAT16_VECTOR, INT8_VECTOR) and metrics (L2, IP, COSINE), implemented as data-driven tests to validate success and failure/error messages for boundary, type-mismatch and inter-parameter constraints. <!-- end of auto-generated comment: release notes by coderabbit.ai --> Signed-off-by: zilliz <jiaming.li@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