mirror of https://github.com/milvus-io/milvus.git
parent
40beed9d10
commit
8b81ceb5d7
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@ -37,6 +37,7 @@ using namespace milvus::knowhere;
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namespace {
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const int DIM = 16;
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const int64_t ROW_COUNT = 100 * 1000;
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const char*
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get_default_schema_config() {
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@ -706,10 +707,10 @@ TEST(CApiTest, Indexing_Without_Predicate) {
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auto schema = ((segcore::Collection*)collection)->get_schema();
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auto segment = NewSegment(collection, 0, Growing);
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auto N = 1000 * 1000;
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auto N = ROW_COUNT;
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auto dataset = DataGen(schema, N);
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auto vec_col = dataset.get_col<float>(0);
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auto query_ptr = vec_col.data() + 420000 * DIM;
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auto query_ptr = vec_col.data() + 42000 * DIM;
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int64_t offset;
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PreInsert(segment, N, &offset);
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@ -829,10 +830,10 @@ TEST(CApiTest, Indexing_Expr_Without_Predicate) {
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auto schema = ((segcore::Collection*)collection)->get_schema();
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auto segment = NewSegment(collection, 0, Growing);
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auto N = 1000 * 1000;
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auto N = ROW_COUNT;
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auto dataset = DataGen(schema, N);
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auto vec_col = dataset.get_col<float>(0);
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auto query_ptr = vec_col.data() + 420000 * DIM;
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auto query_ptr = vec_col.data() + 42000 * DIM;
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int64_t offset;
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PreInsert(segment, N, &offset);
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@ -947,10 +948,10 @@ TEST(CApiTest, Indexing_With_float_Predicate_Range) {
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auto schema = ((segcore::Collection*)collection)->get_schema();
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auto segment = NewSegment(collection, 0, Growing);
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auto N = 1000 * 1000;
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auto N = ROW_COUNT;
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auto dataset = DataGen(schema, N);
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auto vec_col = dataset.get_col<float>(0);
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auto query_ptr = vec_col.data() + 420000 * DIM;
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auto query_ptr = vec_col.data() + 42000 * DIM;
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int64_t offset;
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PreInsert(segment, N, &offset);
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@ -964,8 +965,8 @@ TEST(CApiTest, Indexing_With_float_Predicate_Range) {
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{
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"range": {
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"counter": {
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"GE": 420000,
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"LT": 420010
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"GE": 42000,
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"LT": 42010
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}
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}
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},
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@ -1060,7 +1061,7 @@ TEST(CApiTest, Indexing_With_float_Predicate_Range) {
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auto search_result_on_bigIndex = (*(SearchResult*)c_search_result_on_bigIndex);
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for (int i = 0; i < num_queries; ++i) {
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auto offset = i * TOPK;
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ASSERT_EQ(search_result_on_bigIndex.internal_seg_offsets_[offset], 420000 + i);
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ASSERT_EQ(search_result_on_bigIndex.internal_seg_offsets_[offset], 42000 + i);
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ASSERT_EQ(search_result_on_bigIndex.result_distances_[offset],
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search_result_on_raw_index->result_distances_[offset]);
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}
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@ -1083,10 +1084,10 @@ TEST(CApiTest, Indexing_Expr_With_float_Predicate_Range) {
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auto schema = ((segcore::Collection*)collection)->get_schema();
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auto segment = NewSegment(collection, 0, Growing);
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auto N = 1000 * 1000;
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auto N = ROW_COUNT;
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auto dataset = DataGen(schema, N);
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auto vec_col = dataset.get_col<float>(0);
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auto query_ptr = vec_col.data() + 420000 * DIM;
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auto query_ptr = vec_col.data() + 42000 * DIM;
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{
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int64_t offset;
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@ -1109,7 +1110,7 @@ TEST(CApiTest, Indexing_Expr_With_float_Predicate_Range) {
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>
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op: GreaterEqual
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value: <
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int64_val: 420000
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int64_val: 42000
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>
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>
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>
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@ -1121,7 +1122,7 @@ TEST(CApiTest, Indexing_Expr_With_float_Predicate_Range) {
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>
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op: LessThan
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value: <
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int64_val: 420010
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int64_val: 42010
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>
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>
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>
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@ -1211,7 +1212,7 @@ TEST(CApiTest, Indexing_Expr_With_float_Predicate_Range) {
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auto search_result_on_bigIndex = (*(SearchResult*)c_search_result_on_bigIndex);
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for (int i = 0; i < num_queries; ++i) {
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auto offset = i * TOPK;
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ASSERT_EQ(search_result_on_bigIndex.internal_seg_offsets_[offset], 420000 + i);
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ASSERT_EQ(search_result_on_bigIndex.internal_seg_offsets_[offset], 42000 + i);
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ASSERT_EQ(search_result_on_bigIndex.result_distances_[offset],
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search_result_on_raw_index->result_distances_[offset]);
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}
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@ -1234,10 +1235,10 @@ TEST(CApiTest, Indexing_With_float_Predicate_Term) {
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auto schema = ((segcore::Collection*)collection)->get_schema();
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auto segment = NewSegment(collection, 0, Growing);
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auto N = 1000 * 1000;
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auto N = ROW_COUNT;
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auto dataset = DataGen(schema, N);
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auto vec_col = dataset.get_col<float>(0);
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auto query_ptr = vec_col.data() + 420000 * DIM;
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auto query_ptr = vec_col.data() + 42000 * DIM;
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int64_t offset;
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PreInsert(segment, N, &offset);
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@ -1251,7 +1252,7 @@ TEST(CApiTest, Indexing_With_float_Predicate_Term) {
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{
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"term": {
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"counter": {
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"values": [420000, 420001, 420002, 420003, 420004]
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"values": [42000, 42001, 42002, 42003, 42004]
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}
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}
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},
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@ -1346,7 +1347,7 @@ TEST(CApiTest, Indexing_With_float_Predicate_Term) {
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auto search_result_on_bigIndex = (*(SearchResult*)c_search_result_on_bigIndex);
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for (int i = 0; i < num_queries; ++i) {
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auto offset = i * TOPK;
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ASSERT_EQ(search_result_on_bigIndex.internal_seg_offsets_[offset], 420000 + i);
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ASSERT_EQ(search_result_on_bigIndex.internal_seg_offsets_[offset], 42000 + i);
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ASSERT_EQ(search_result_on_bigIndex.result_distances_[offset],
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search_result_on_raw_index->result_distances_[offset]);
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}
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@ -1369,10 +1370,10 @@ TEST(CApiTest, Indexing_Expr_With_float_Predicate_Term) {
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auto schema = ((segcore::Collection*)collection)->get_schema();
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auto segment = NewSegment(collection, 0, Growing);
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auto N = 1000 * 1000;
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auto N = ROW_COUNT;
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auto dataset = DataGen(schema, N);
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auto vec_col = dataset.get_col<float>(0);
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auto query_ptr = vec_col.data() + 420000 * DIM;
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auto query_ptr = vec_col.data() + 42000 * DIM;
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int64_t offset;
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PreInsert(segment, N, &offset);
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@ -1390,19 +1391,19 @@ vector_anns: <
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data_type: Int64
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>
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values: <
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int64_val: 420000
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int64_val: 42000
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>
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values: <
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int64_val: 420001
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int64_val: 42001
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>
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values: <
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int64_val: 420002
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int64_val: 42002
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>
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values: <
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int64_val: 420003
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int64_val: 42003
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>
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values: <
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int64_val: 420004
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int64_val: 42004
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>
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>
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>
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@ -1490,7 +1491,7 @@ vector_anns: <
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auto search_result_on_bigIndex = (*(SearchResult*)c_search_result_on_bigIndex);
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for (int i = 0; i < num_queries; ++i) {
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auto offset = i * TOPK;
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ASSERT_EQ(search_result_on_bigIndex.internal_seg_offsets_[offset], 420000 + i);
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ASSERT_EQ(search_result_on_bigIndex.internal_seg_offsets_[offset], 42000 + i);
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ASSERT_EQ(search_result_on_bigIndex.result_distances_[offset],
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search_result_on_raw_index->result_distances_[offset]);
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}
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@ -1513,10 +1514,10 @@ TEST(CApiTest, Indexing_With_binary_Predicate_Range) {
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auto schema = ((segcore::Collection*)collection)->get_schema();
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auto segment = NewSegment(collection, 0, Growing);
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auto N = 1000 * 1000;
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auto N = ROW_COUNT;
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auto dataset = DataGen(schema, N);
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auto vec_col = dataset.get_col<uint8_t>(0);
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auto query_ptr = vec_col.data() + 420000 * DIM / 8;
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auto query_ptr = vec_col.data() + 42000 * DIM / 8;
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int64_t offset;
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PreInsert(segment, N, &offset);
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@ -1530,8 +1531,8 @@ TEST(CApiTest, Indexing_With_binary_Predicate_Range) {
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{
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"range": {
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"counter": {
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"GE": 420000,
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"LT": 420010
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"GE": 42000,
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"LT": 42010
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}
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}
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},
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@ -1627,7 +1628,7 @@ TEST(CApiTest, Indexing_With_binary_Predicate_Range) {
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auto search_result_on_bigIndex = (*(SearchResult*)c_search_result_on_bigIndex);
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for (int i = 0; i < num_queries; ++i) {
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auto offset = i * TOPK;
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ASSERT_EQ(search_result_on_bigIndex.internal_seg_offsets_[offset], 420000 + i);
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ASSERT_EQ(search_result_on_bigIndex.internal_seg_offsets_[offset], 42000 + i);
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ASSERT_EQ(search_result_on_bigIndex.result_distances_[offset],
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search_result_on_raw_index->result_distances_[offset]);
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}
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@ -1650,10 +1651,10 @@ TEST(CApiTest, Indexing_Expr_With_binary_Predicate_Range) {
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auto schema = ((segcore::Collection*)collection)->get_schema();
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auto segment = NewSegment(collection, 0, Growing);
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auto N = 1000 * 1000;
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auto N = ROW_COUNT;
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auto dataset = DataGen(schema, N);
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auto vec_col = dataset.get_col<uint8_t>(0);
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auto query_ptr = vec_col.data() + 420000 * DIM / 8;
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auto query_ptr = vec_col.data() + 42000 * DIM / 8;
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int64_t offset;
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PreInsert(segment, N, &offset);
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@ -1674,7 +1675,7 @@ TEST(CApiTest, Indexing_Expr_With_binary_Predicate_Range) {
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>
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op: GreaterEqual
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value: <
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int64_val: 420000
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int64_val: 42000
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>
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>
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>
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@ -1686,7 +1687,7 @@ TEST(CApiTest, Indexing_Expr_With_binary_Predicate_Range) {
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>
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op: LessThan
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value: <
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int64_val: 420010
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int64_val: 42010
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>
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>
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>
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@ -1777,7 +1778,7 @@ TEST(CApiTest, Indexing_Expr_With_binary_Predicate_Range) {
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auto search_result_on_bigIndex = (*(SearchResult*)c_search_result_on_bigIndex);
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for (int i = 0; i < num_queries; ++i) {
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auto offset = i * TOPK;
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ASSERT_EQ(search_result_on_bigIndex.internal_seg_offsets_[offset], 420000 + i);
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ASSERT_EQ(search_result_on_bigIndex.internal_seg_offsets_[offset], 42000 + i);
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ASSERT_EQ(search_result_on_bigIndex.result_distances_[offset],
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search_result_on_raw_index->result_distances_[offset]);
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}
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@ -1800,10 +1801,10 @@ TEST(CApiTest, Indexing_With_binary_Predicate_Term) {
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auto schema = ((segcore::Collection*)collection)->get_schema();
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auto segment = NewSegment(collection, 0, Growing);
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auto N = 1000 * 1000;
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auto N = ROW_COUNT;
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auto dataset = DataGen(schema, N);
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auto vec_col = dataset.get_col<uint8_t>(0);
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auto query_ptr = vec_col.data() + 420000 * DIM / 8;
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auto query_ptr = vec_col.data() + 42000 * DIM / 8;
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int64_t offset;
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PreInsert(segment, N, &offset);
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@ -1817,7 +1818,7 @@ TEST(CApiTest, Indexing_With_binary_Predicate_Term) {
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{
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"term": {
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"counter": {
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"values": [420000, 420001, 420002, 420003, 420004]
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"values": [42000, 42001, 42002, 42003, 42004]
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}
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}
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},
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@ -1918,7 +1919,7 @@ TEST(CApiTest, Indexing_With_binary_Predicate_Term) {
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auto search_result_on_bigIndex = (*(SearchResult*)c_search_result_on_bigIndex);
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for (int i = 0; i < num_queries; ++i) {
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auto offset = i * TOPK;
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ASSERT_EQ(search_result_on_bigIndex.internal_seg_offsets_[offset], 420000 + i);
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ASSERT_EQ(search_result_on_bigIndex.internal_seg_offsets_[offset], 42000 + i);
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ASSERT_EQ(search_result_on_bigIndex.result_distances_[offset],
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search_result_on_raw_index->result_distances_[offset]);
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}
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@ -1941,10 +1942,10 @@ TEST(CApiTest, Indexing_Expr_With_binary_Predicate_Term) {
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auto schema = ((segcore::Collection*)collection)->get_schema();
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auto segment = NewSegment(collection, 0, Growing);
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auto N = 1000 * 1000;
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auto N = ROW_COUNT;
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auto dataset = DataGen(schema, N);
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auto vec_col = dataset.get_col<uint8_t>(0);
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auto query_ptr = vec_col.data() + 420000 * DIM / 8;
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auto query_ptr = vec_col.data() + 42000 * DIM / 8;
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int64_t offset;
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PreInsert(segment, N, &offset);
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@ -1961,19 +1962,19 @@ TEST(CApiTest, Indexing_Expr_With_binary_Predicate_Term) {
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data_type: Int64
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>
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values: <
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int64_val: 420000
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int64_val: 42000
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>
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values: <
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int64_val: 420001
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int64_val: 42001
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>
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values: <
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int64_val: 420002
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int64_val: 42002
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>
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values: <
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int64_val: 420003
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int64_val: 42003
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>
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values: <
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int64_val: 420004
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int64_val: 42004
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>
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>
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>
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@ -2067,7 +2068,7 @@ TEST(CApiTest, Indexing_Expr_With_binary_Predicate_Term) {
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auto search_result_on_bigIndex = (*(SearchResult*)c_search_result_on_bigIndex);
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for (int i = 0; i < num_queries; ++i) {
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auto offset = i * TOPK;
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ASSERT_EQ(search_result_on_bigIndex.internal_seg_offsets_[offset], 420000 + i);
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ASSERT_EQ(search_result_on_bigIndex.internal_seg_offsets_[offset], 42000 + i);
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ASSERT_EQ(search_result_on_bigIndex.result_distances_[offset],
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search_result_on_raw_index->result_distances_[offset]);
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}
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@ -2136,11 +2137,11 @@ TEST(CApiTest, SealedSegment_search_float_Predicate_Range) {
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auto schema = ((segcore::Collection*)collection)->get_schema();
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auto segment = NewSegment(collection, 0, Sealed);
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auto N = 1000 * 1000;
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auto N = ROW_COUNT;
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auto dataset = DataGen(schema, N);
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auto vec_col = dataset.get_col<float>(0);
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auto counter_col = dataset.get_col<int64_t>(1);
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auto query_ptr = vec_col.data() + 420000 * DIM;
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auto query_ptr = vec_col.data() + 42000 * DIM;
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const char* dsl_string = R"({
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"bool": {
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@ -2148,8 +2149,8 @@ TEST(CApiTest, SealedSegment_search_float_Predicate_Range) {
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{
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"range": {
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"counter": {
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"GE": 420000,
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"LT": 420010
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"GE": 42000,
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"LT": 42010
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}
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}
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},
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@ -2269,7 +2270,7 @@ TEST(CApiTest, SealedSegment_search_float_Predicate_Range) {
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auto search_result_on_bigIndex = (*(SearchResult*)c_search_result_on_bigIndex);
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for (int i = 0; i < num_queries; ++i) {
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auto offset = i * TOPK;
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ASSERT_EQ(search_result_on_bigIndex.internal_seg_offsets_[offset], 420000 + i);
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ASSERT_EQ(search_result_on_bigIndex.internal_seg_offsets_[offset], 42000 + i);
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}
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DeleteLoadIndexInfo(c_load_index_info);
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@ -2288,11 +2289,11 @@ TEST(CApiTest, SealedSegment_search_float_With_Expr_Predicate_Range) {
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auto schema = ((segcore::Collection*)collection)->get_schema();
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auto segment = NewSegment(collection, 0, Sealed);
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auto N = 1000 * 1000;
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auto N = ROW_COUNT;
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auto dataset = DataGen(schema, N);
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auto vec_col = dataset.get_col<float>(0);
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auto counter_col = dataset.get_col<int64_t>(1);
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auto query_ptr = vec_col.data() + 420000 * DIM;
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auto query_ptr = vec_col.data() + 42000 * DIM;
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const char* serialized_expr_plan = R"(vector_anns: <
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field_id: 100
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@ -2307,7 +2308,7 @@ TEST(CApiTest, SealedSegment_search_float_With_Expr_Predicate_Range) {
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>
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op: GreaterEqual
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value: <
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int64_val: 420000
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int64_val: 42000
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>
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>
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>
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@ -2319,7 +2320,7 @@ TEST(CApiTest, SealedSegment_search_float_With_Expr_Predicate_Range) {
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>
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op: LessThan
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value: <
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int64_val: 420010
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int64_val: 42010
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>
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>
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>
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@ -2435,7 +2436,7 @@ TEST(CApiTest, SealedSegment_search_float_With_Expr_Predicate_Range) {
|
|||
auto search_result_on_bigIndex = (*(SearchResult*)c_search_result_on_bigIndex);
|
||||
for (int i = 0; i < num_queries; ++i) {
|
||||
auto offset = i * TOPK;
|
||||
ASSERT_EQ(search_result_on_bigIndex.internal_seg_offsets_[offset], 420000 + i);
|
||||
ASSERT_EQ(search_result_on_bigIndex.internal_seg_offsets_[offset], 42000 + i);
|
||||
}
|
||||
|
||||
DeleteLoadIndexInfo(c_load_index_info);
|
||||
|
|
|
@ -68,7 +68,7 @@ TEST(ConcurrentVector, TestMultithreads) {
|
|||
std::default_random_engine e(42 + thread_id);
|
||||
int64_t data = 0;
|
||||
int64_t total_count = 0;
|
||||
for (int i = 0; i < 10000; ++i) {
|
||||
for (int i = 0; i < 2000; ++i) {
|
||||
int insert_size = e() % 150;
|
||||
vector<int64_t> vec(insert_size * dim);
|
||||
for (auto& x : vec) {
|
||||
|
|
|
@ -296,7 +296,7 @@ TEST(Expr, TestRange) {
|
|||
schema->AddDebugField("age", DataType::INT32);
|
||||
|
||||
auto seg = CreateGrowingSegment(schema);
|
||||
int N = 10000;
|
||||
int N = 1000;
|
||||
std::vector<int> age_col;
|
||||
int num_iters = 100;
|
||||
for (int iter = 0; iter < num_iters; ++iter) {
|
||||
|
@ -378,7 +378,7 @@ TEST(Expr, TestTerm) {
|
|||
schema->AddDebugField("age", DataType::INT32);
|
||||
|
||||
auto seg = CreateGrowingSegment(schema);
|
||||
int N = 10000;
|
||||
int N = 1000;
|
||||
std::vector<int> age_col;
|
||||
int num_iters = 100;
|
||||
for (int iter = 0; iter < num_iters; ++iter) {
|
||||
|
@ -550,7 +550,7 @@ TEST(Expr, TestCompare) {
|
|||
schema->AddDebugField("age2", DataType::INT64);
|
||||
|
||||
auto seg = CreateGrowingSegment(schema);
|
||||
int N = 10000;
|
||||
int N = 1000;
|
||||
std::vector<int> age1_col;
|
||||
std::vector<int64_t> age2_col;
|
||||
int num_iters = 100;
|
||||
|
|
|
@ -278,7 +278,7 @@ TEST(IVFFLATNMWrapper, Build) {
|
|||
}
|
||||
|
||||
TEST(IVFFLATNMWrapper, Codec) {
|
||||
int64_t flat_nb = 1000000;
|
||||
int64_t flat_nb = 100000;
|
||||
auto index_type = milvus::knowhere::IndexEnum::INDEX_FAISS_IVFFLAT;
|
||||
auto metric_type = milvus::knowhere::Metric::L2;
|
||||
indexcgo::TypeParams type_params;
|
||||
|
|
|
@ -201,7 +201,7 @@ TEST(Indexing, IVFFlatNM) {
|
|||
constexpr auto DIM = 16;
|
||||
constexpr auto K = 10;
|
||||
|
||||
auto N = 1024 * 1024 * 10;
|
||||
auto N = 1024 * 1024;
|
||||
auto num_query = 100;
|
||||
Timer timer;
|
||||
auto [raw_data, timestamps, uids] = generate_data<DIM>(N);
|
||||
|
|
|
@ -24,6 +24,10 @@ using namespace milvus;
|
|||
using namespace milvus::segcore;
|
||||
using namespace milvus::query;
|
||||
|
||||
namespace {
|
||||
const int64_t ROW_COUNT = 100 * 1000;
|
||||
}
|
||||
|
||||
TEST(Sealed, without_predicate) {
|
||||
using namespace milvus::query;
|
||||
using namespace milvus::segcore;
|
||||
|
@ -52,7 +56,7 @@ TEST(Sealed, without_predicate) {
|
|||
}
|
||||
})";
|
||||
|
||||
int64_t N = 1000 * 1000;
|
||||
auto N = ROW_COUNT;
|
||||
|
||||
auto dataset = DataGen(schema, N);
|
||||
auto vec_col = dataset.get_col<float>(0);
|
||||
|
@ -133,8 +137,8 @@ TEST(Sealed, with_predicate) {
|
|||
{
|
||||
"range": {
|
||||
"counter": {
|
||||
"GE": 420000,
|
||||
"LT": 420005
|
||||
"GE": 42000,
|
||||
"LT": 42005
|
||||
}
|
||||
}
|
||||
},
|
||||
|
@ -154,11 +158,11 @@ TEST(Sealed, with_predicate) {
|
|||
}
|
||||
})";
|
||||
|
||||
int64_t N = 1000 * 1000;
|
||||
auto N = ROW_COUNT;
|
||||
|
||||
auto dataset = DataGen(schema, N);
|
||||
auto vec_col = dataset.get_col<float>(0);
|
||||
auto query_ptr = vec_col.data() + 420000 * dim;
|
||||
auto query_ptr = vec_col.data() + 42000 * dim;
|
||||
auto segment = CreateGrowingSegment(schema);
|
||||
segment->PreInsert(N);
|
||||
segment->Insert(0, N, dataset.row_ids_.data(), dataset.timestamps_.data(), dataset.raw_);
|
||||
|
@ -205,7 +209,7 @@ TEST(Sealed, with_predicate) {
|
|||
auto post_sr = sr;
|
||||
for (int i = 0; i < num_queries; ++i) {
|
||||
auto offset = i * topK;
|
||||
ASSERT_EQ(post_sr.internal_seg_offsets_[offset], 420000 + i);
|
||||
ASSERT_EQ(post_sr.internal_seg_offsets_[offset], 42000 + i);
|
||||
ASSERT_EQ(post_sr.result_distances_[offset], 0.0);
|
||||
}
|
||||
}
|
||||
|
@ -213,7 +217,7 @@ TEST(Sealed, with_predicate) {
|
|||
TEST(Sealed, LoadFieldData) {
|
||||
auto dim = 16;
|
||||
auto topK = 5;
|
||||
int64_t N = 1000 * 1000;
|
||||
auto N = 1000 * 1000;
|
||||
auto metric_type = MetricType::METRIC_L2;
|
||||
auto schema = std::make_shared<Schema>();
|
||||
auto fakevec_id = schema->AddDebugField("fakevec", DataType::VECTOR_FLOAT, dim, metric_type);
|
||||
|
|
|
@ -108,6 +108,4 @@ TEST(SegmentCoreTest, SmallIndex) {
|
|||
auto schema = std::make_shared<Schema>();
|
||||
schema->AddDebugField("fakevec", DataType::VECTOR_FLOAT, 16, MetricType::METRIC_L2);
|
||||
schema->AddDebugField("age", DataType::INT32);
|
||||
int N = 1024 * 1024;
|
||||
auto data = DataGen(schema, N);
|
||||
}
|
||||
|
|
|
@ -14,11 +14,15 @@
|
|||
#include "test_utils/DataGen.h"
|
||||
#include "segcore/SegmentGrowing.h"
|
||||
|
||||
namespace {
|
||||
const int64_t ROW_COUNT = 100 * 1000;
|
||||
}
|
||||
|
||||
TEST(Span, Naive) {
|
||||
using namespace milvus;
|
||||
using namespace milvus::query;
|
||||
using namespace milvus::segcore;
|
||||
int64_t N = 1000 * 1000;
|
||||
int64_t N = ROW_COUNT;
|
||||
constexpr int64_t size_per_chunk = 32 * 1024;
|
||||
auto schema = std::make_shared<Schema>();
|
||||
schema->AddDebugField("binaryvec", DataType::VECTOR_BINARY, 512, MetricType::METRIC_Jaccard);
|
||||
|
|
Loading…
Reference in New Issue