marcelo-cjl 3b599441fd
feat: Add nullable vector support for proxy and querynode (#46305)
related: #45993 

This commit extends nullable vector support to the proxy layer,
querynode,
and adds comprehensive validation, search reduce, and field data
handling
    for nullable vectors with sparse storage.
    
    Proxy layer changes:
- Update validate_util.go checkAligned() with getExpectedVectorRows()
helper
      to validate nullable vector field alignment using valid data count
- Update checkFloatVectorFieldData/checkSparseFloatVectorFieldData for
      nullable vector validation with proper row count expectations
- Add FieldDataIdxComputer in typeutil/schema.go for logical-to-physical
      index translation during search reduce operations
- Update search_reduce_util.go reduceSearchResultData to use
idxComputers
      for correct field data indexing with nullable vectors
- Update task.go, task_query.go, task_upsert.go for nullable vector
handling
    - Update msg_pack.go with nullable vector field data processing
    
    QueryNode layer changes:
    - Update segments/result.go for nullable vector result handling
- Update segments/search_reduce.go with nullable vector offset
translation
    
    Storage and index changes:
- Update data_codec.go and utils.go for nullable vector serialization
- Update indexcgowrapper/dataset.go and index.go for nullable vector
indexing
    
    Utility changes:
- Add FieldDataIdxComputer struct with Compute() method for efficient
      logical-to-physical index mapping across multiple field data
- Update EstimateEntitySize() and AppendFieldData() with fieldIdxs
parameter
    - Update funcutil.go with nullable vector support functions

<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

* **New Features**
* Full support for nullable vector fields (float, binary, float16,
bfloat16, int8, sparse) across ingest, storage, indexing, search and
retrieval; logical↔physical offset mapping preserves row semantics.
  * Client: compaction control and compaction-state APIs.

* **Bug Fixes**
* Improved validation for adding vector fields (nullable + dimension
checks) and corrected search/query behavior for nullable vectors.

* **Chores**
  * Persisted validity maps with indexes and on-disk formats.

* **Tests**
  * Extensive new and updated end-to-end nullable-vector tests.

<sub>✏️ Tip: You can customize this high-level summary in your review
settings.</sub>
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Signed-off-by: marcelo-cjl <marcelo.chen@zilliz.com>
2025-12-24 10:13:19 +08:00
..

Milvus Go Client Test Framework

Overview

This is a comprehensive test framework for the Milvus Go Client, designed to validate various functionalities of the Milvus vector database client. The framework provides a structured approach to writing tests with reusable components and helper functions.

Framework Architecture

Directory Structure

/go_client/
├── testcases/           # Main test cases
│   ├── helper/          # Helper functions and utilities
│   │   ├── helper.go
│   │   ├── data_helper.go
│   │   └── collection_helper.go
│   ├── search_test.go   # Search functionality tests
│   ├── index_test.go    # Index management tests
│   └── ...
├── common/             # Common utilities and constants
└── base/               # Base infrastructure code

Key Components

  • Collection Preparation: Utilities for creating and managing collections
  • Data Generation: Tools for generating test data
  • Helper Functions: Common operations and validations
  • Test Cases: Organized by functionality

Writing Test Cases

Basic Test Structure

func TestYourFeature(t *testing.T) {
    // 1. Setup context and client
    ctx := hp.CreateContext(t, time.Second*common.DefaultTimeout)
    mc := createDefaultMilvusClient(ctx, t)

    // 2. Prepare collection
    prepare, schema := hp.CollPrepare.CreateCollection(
        ctx, t, mc,
        hp.NewCreateCollectionParams(hp.Int64Vec),
        hp.TNewFieldsOption(),
        hp.TNewSchemaOption(),
    )

    // 3. Insert test data
    prepare.InsertData(ctx, t, mc,
        hp.NewInsertParams(schema),
        hp.TNewDataOption(),
    )

    // 4. Execute test operations
    // ... your test logic here ...

    // 5. Validate results
    require.NoError(t, err)
    require.Equal(t, expected, actual)
}

Using Custom Parameters

  1. Collection Creation Parameters
fieldsOption := hp.TNewFieldsOption().
    TWithEnableAnalyzer(true).
    TWithAnalyzerParams(map[string]any{
        "tokenizer": "standard",
    })

schemaOption := hp.TNewSchemaOption().
    TWithEnableDynamicField(true).
    TWithDescription("Custom schema").
    TWithAutoID(false)
  1. Data Insertion Options
insertOption := hp.TNewDataOption().
    TWithNb(1000).           // Number of records
    TWithDim(128).           // Vector dimension
    TWithStart(100).         // Starting ID
    TWithMaxLen(256).        // Maximum length
    TWithTextLang("en")      // Text language
  1. Index Parameters
indexParams := hp.TNewIndexParams(schema).
    TWithFieldIndex(map[string]index.Index{
        common.DefaultVectorFieldName: index.NewIVFSQIndex(
            &index.IVFSQConfig{
                MetricType: entity.L2,
                NList:     128,
            },
        ),
    })
  1. Search Parameters
searchOpt := client.NewSearchOption(schema.CollectionName, 100, vectors).
    WithOffset(0).
    WithLimit(100).
    WithConsistencyLevel(entity.ClStrong).
    WithFilter("int64 >= 100").
    WithOutputFields([]string{"*"}).
    WithSearchParams(map[string]any{
        "nprobe": 16,
        "ef":     64,
    })

Adding New Parameters

  1. Define New Option Type
// In helper/data_helper.go
type YourNewOption struct {
    newParam1 string
    newParam2 int
}
  1. Add Constructor
func TNewYourOption() *YourNewOption {
    return &YourNewOption{
        newParam1: "default",
        newParam2: 0,
    }
}
  1. Add Parameter Methods
func (opt *YourNewOption) TWithNewParam1(value string) *YourNewOption {
    opt.newParam1 = value
    return opt
}

func (opt *YourNewOption) TWithNewParam2(value int) *YourNewOption {
    opt.newParam2 = value
    return opt
}

Best Practices

  1. Test Organization

    • Group related tests in the same file
    • Use clear and descriptive test names
    • Add comments explaining test purpose
  2. Data Generation

    • Use helper functions for generating test data
    • Ensure data is appropriate for the test case
    • Clean up test data after use
  3. Error Handling

    • Use common.CheckErr for consistent error checking
    • Test both success and failure scenarios
    • Validate error messages when appropriate
  4. Performance Considerations

    • Use appropriate timeouts
    • Clean up resources after tests
    • Consider test execution time

Running Tests

# Run all tests
go test ./testcases/...

# Run specific test
go test -run TestYourFeature ./testcases/

# Run with verbose output
go test -v ./testcases/...

# gotestsum
Recommend you to use gotestsum https://github.com/gotestyourself/gotestsum

# Run all default cases
gotestsum --format testname --hide-summary=output -v ./testcases/... --addr=127.0.0.1:19530 -timeout=30m

# Run a specified file
gotestsum --format testname --hide-summary=output ./testcases/collection_test.go ./testcases/main_test.go --addr=127.0.0.1:19530

# Run L3 rg cases
gotestsum --format testname --hide-summary=output -v ./testcases/advcases/... --addr=127.0.0.1:19530 -timeout=30m -tags=rg

# Run advanced rg cases and default cases
# rg cases conflicts with default cases, so -p=1 is required
gotestsum --format testname --hide-summary=output -v ./testcases/... --addr=127.0.0.1:19530 -timeout=30m -tags=rg -p 1

Contributing

  1. Follow the existing code structure
  2. Add comprehensive test cases
  3. Document new parameters and options
  4. Update this README for significant changes
  5. Ensure code quality standards:
    • Run golangci-lint run to check for style mistakes
    • Use gofmt -w your/code/path to format your code before submitting
    • CI will verify both golint and go format compliance