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d6a428e880
Ref https://github.com/milvus-io/milvus/issues/42148 This PR supports create index for vector array (now, only for `DataType.FLOAT_VECTOR`) and search on it. The index type supported in this PR is `EMB_LIST_HNSW` and the metric type is `MAX_SIM` only. The way to use it: ```python milvus_client = MilvusClient("xxx:19530") schema = milvus_client.create_schema(enable_dynamic_field=True, auto_id=True) ... struct_schema = milvus_client.create_struct_array_field_schema("struct_array_field") ... struct_schema.add_field("struct_float_vec", DataType.ARRAY_OF_VECTOR, element_type=DataType.FLOAT_VECTOR, dim=128, max_capacity=1000) ... schema.add_struct_array_field(struct_schema) index_params = milvus_client.prepare_index_params() index_params.add_index(field_name="struct_float_vec", index_type="EMB_LIST_HNSW", metric_type="MAX_SIM", index_params={"nlist": 128}) ... milvus_client.create_index(COLLECTION_NAME, schema=schema, index_params=index_params) ``` Note: This PR uses `Lims` to convey offsets of the vector array to knowhere where vectors of multiple vector arrays are concatenated and we need offsets to specify which vectors belong to which vector array. --------- Signed-off-by: SpadeA <tangchenjie1210@gmail.com> Signed-off-by: SpadeA-Tang <tangchenjie1210@gmail.com>
106 lines
2.1 KiB
Go
106 lines
2.1 KiB
Go
package indexparamcheck
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import (
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"strconv"
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"testing"
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"github.com/stretchr/testify/assert"
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"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
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"github.com/milvus-io/milvus/pkg/v2/common"
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"github.com/milvus-io/milvus/pkg/v2/util/metric"
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)
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func Test_flatChecker_CheckTrain(t *testing.T) {
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p1 := map[string]string{
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DIM: strconv.Itoa(128),
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Metric: metric.L2,
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}
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p2 := map[string]string{
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DIM: strconv.Itoa(128),
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Metric: metric.IP,
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}
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p3 := map[string]string{
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DIM: strconv.Itoa(128),
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Metric: metric.COSINE,
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}
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p4 := map[string]string{
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DIM: strconv.Itoa(128),
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Metric: metric.HAMMING,
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}
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p5 := map[string]string{
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DIM: strconv.Itoa(128),
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Metric: metric.JACCARD,
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}
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p6 := map[string]string{
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DIM: strconv.Itoa(128),
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Metric: metric.SUBSTRUCTURE,
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}
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p7 := map[string]string{
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DIM: strconv.Itoa(128),
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Metric: metric.SUPERSTRUCTURE,
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}
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cases := []struct {
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params map[string]string
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errIsNil bool
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}{
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{p1, true},
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{p2, true},
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{p3, true},
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{p4, false},
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{p5, false},
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{p6, false},
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{p7, false},
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}
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c, _ := GetIndexCheckerMgrInstance().GetChecker("FLAT")
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for _, test := range cases {
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test.params[common.IndexTypeKey] = "FLAT"
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err := c.CheckTrain(schemapb.DataType_FloatVector, schemapb.DataType_None, test.params)
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if test.errIsNil {
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assert.NoError(t, err)
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} else {
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assert.Error(t, err)
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}
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}
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}
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func Test_flatChecker_StaticCheck(t *testing.T) {
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cases := []struct {
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params map[string]string
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errIsNil bool
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}{
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{
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// metrics not found.
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params: map[string]string{},
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errIsNil: false,
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},
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{
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// invalid metric.
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params: map[string]string{
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Metric: metric.HAMMING,
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},
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errIsNil: false,
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},
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{
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// normal case.
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params: map[string]string{
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Metric: metric.L2,
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},
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errIsNil: true,
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},
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}
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c, _ := GetIndexCheckerMgrInstance().GetChecker("FLAT")
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for _, test := range cases {
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test.params[common.IndexTypeKey] = "FLAT"
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err := c.StaticCheck(schemapb.DataType_FloatVector, schemapb.DataType_None, test.params)
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if test.errIsNil {
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assert.NoError(t, err)
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} else {
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assert.Error(t, err)
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}
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}
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}
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