// Copyright (C) 2019-2020 Zilliz. All rights reserved. // // Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance // with the License. You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software distributed under the License // is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express // or implied. See the License for the specific language governing permissions and limitations under the License #include #include #include #include #include #include #include "segcore/SegmentSealed.h" #include "test_utils/storage_test_utils.h" #include "test_utils/DataGen.h" #include "plan/PlanNode.h" #include "exec/Task.h" #include "exec/QueryContext.h" #include "expr/ITypeExpr.h" #include "exec/expression/Expr.h" #include "exec/expression/ConjunctExpr.h" #include "exec/expression/function/FunctionFactory.h" using namespace milvus; using namespace milvus::exec; using namespace milvus::query; using namespace milvus::segcore; class TaskTest : public testing::TestWithParam { protected: void SetUp() override { using namespace milvus; using namespace milvus::query; using namespace milvus::segcore; milvus::exec::expression::FunctionFactory& factory = milvus::exec::expression::FunctionFactory::Instance(); factory.Initialize(); auto schema = std::make_shared(); auto vec_fid = schema->AddDebugField( "fakevec", GetParam(), 16, knowhere::metric::L2); auto bool_fid = schema->AddDebugField("bool", DataType::BOOL); field_map_.insert({"bool", bool_fid}); auto bool_1_fid = schema->AddDebugField("bool1", DataType::BOOL); field_map_.insert({"bool1", bool_1_fid}); auto int8_fid = schema->AddDebugField("int8", DataType::INT8); field_map_.insert({"int8", int8_fid}); auto int8_1_fid = schema->AddDebugField("int81", DataType::INT8); field_map_.insert({"int81", int8_1_fid}); auto int16_fid = schema->AddDebugField("int16", DataType::INT16); field_map_.insert({"int16", int16_fid}); auto int16_1_fid = schema->AddDebugField("int161", DataType::INT16); field_map_.insert({"int161", int16_1_fid}); auto int32_fid = schema->AddDebugField("int32", DataType::INT32); field_map_.insert({"int32", int32_fid}); auto int32_1_fid = schema->AddDebugField("int321", DataType::INT32); field_map_.insert({"int321", int32_1_fid}); auto int64_fid = schema->AddDebugField("int64", DataType::INT64); field_map_.insert({"int64", int64_fid}); auto int64_1_fid = schema->AddDebugField("int641", DataType::INT64); field_map_.insert({"int641", int64_1_fid}); auto float_fid = schema->AddDebugField("float", DataType::FLOAT); field_map_.insert({"float", float_fid}); auto float_1_fid = schema->AddDebugField("float1", DataType::FLOAT); field_map_.insert({"float1", float_1_fid}); auto double_fid = schema->AddDebugField("double", DataType::DOUBLE); field_map_.insert({"double", double_fid}); auto double_1_fid = schema->AddDebugField("double1", DataType::DOUBLE); field_map_.insert({"double1", double_1_fid}); auto str1_fid = schema->AddDebugField("string1", DataType::VARCHAR); field_map_.insert({"string1", str1_fid}); auto str2_fid = schema->AddDebugField("string2", DataType::VARCHAR); field_map_.insert({"string2", str2_fid}); auto str3_fid = schema->AddDebugField("string3", DataType::VARCHAR); field_map_.insert({"string3", str3_fid}); auto json_fid = schema->AddDebugField("json", DataType::JSON); field_map_.insert({"json", json_fid}); schema->set_primary_field_id(str1_fid); size_t N = 100000; num_rows_ = N; auto raw_data = DataGen(schema, N); auto segment = CreateSealedWithFieldDataLoaded(schema, raw_data); segment_ = SegmentSealedSPtr(segment.release()); } void TearDown() override { } public: SegmentSealedSPtr segment_; std::map field_map_; int64_t num_rows_{0}; }; INSTANTIATE_TEST_SUITE_P(TaskTestSuite, TaskTest, ::testing::Values(DataType::VECTOR_FLOAT, DataType::VECTOR_SPARSE_FLOAT)); TEST_P(TaskTest, RegisterFunction) { milvus::exec::expression::FunctionFactory& factory = milvus::exec::expression::FunctionFactory::Instance(); ASSERT_EQ(factory.GetFilterFunctionNum(), 2); auto all_functions = factory.ListAllFilterFunctions(); // for (auto& f : all_functions) { // std::cout << f.toString() << std::endl; // } auto func_ptr = factory.GetFilterFunction( milvus::exec::expression::FilterFunctionRegisterKey{ "empty", {DataType::VARCHAR}}); ASSERT_TRUE(func_ptr != nullptr); } TEST_P(TaskTest, CallExprEmpty) { expr::ColumnInfo col(field_map_["string1"], DataType::VARCHAR); std::vector parameters; parameters.push_back(std::make_shared(col)); milvus::exec::expression::FunctionFactory& factory = milvus::exec::expression::FunctionFactory::Instance(); auto empty_function_ptr = factory.GetFilterFunction( milvus::exec::expression::FilterFunctionRegisterKey{ "empty", {DataType::VARCHAR}}); auto call_expr = std::make_shared( "empty", parameters, empty_function_ptr); ASSERT_EQ(call_expr->inputs().size(), 1); std::vector sources; auto filter_node = std::make_shared( "plannode id 1", call_expr, sources); auto plan = plan::PlanFragment(filter_node); auto query_context = std::make_shared( "test1", segment_.get(), 100000, MAX_TIMESTAMP, 0, 0, std::make_shared( std::unordered_map{})); auto start = std::chrono::steady_clock::now(); auto task = Task::Create("task_call_expr_empty", plan, 0, query_context); int64_t num_rows = 0; for (;;) { auto result = task->Next(); if (!result) { break; } num_rows += result->size(); } auto cost = std::chrono::duration_cast( std::chrono::steady_clock::now() - start) .count(); std::cout << "cost: " << cost << "us" << std::endl; EXPECT_EQ(num_rows, num_rows_); } TEST_P(TaskTest, UnaryExpr) { ::milvus::proto::plan::GenericValue value; value.set_int64_val(-1); auto logical_expr = std::make_shared( expr::ColumnInfo(field_map_["int64"], DataType::INT64), proto::plan::OpType::LessThan, value, std::vector{}); std::vector sources; auto filter_node = std::make_shared( "plannode id 1", logical_expr, sources); auto plan = plan::PlanFragment(filter_node); auto query_context = std::make_shared( "test1", segment_.get(), 100000, MAX_TIMESTAMP, 0, 0, std::make_shared( std::unordered_map{})); auto start = std::chrono::steady_clock::now(); auto task = Task::Create("task_unary_expr", plan, 0, query_context); int64_t num_rows = 0; int i = 0; for (;;) { auto result = task->Next(); if (!result) { break; } num_rows += result->size(); } auto cost = std::chrono::duration_cast( std::chrono::steady_clock::now() - start) .count(); std::cout << "cost: " << cost << "us" << std::endl; EXPECT_EQ(num_rows, num_rows_); } TEST_P(TaskTest, LogicalExpr) { ::milvus::proto::plan::GenericValue value; value.set_int64_val(-1); auto left = std::make_shared( expr::ColumnInfo(field_map_["int64"], DataType::INT64), proto::plan::OpType::LessThan, value, std::vector{}); auto right = std::make_shared( expr::ColumnInfo(field_map_["int64"], DataType::INT64), proto::plan::OpType::LessThan, value, std::vector{}); auto top = std::make_shared( expr::LogicalBinaryExpr::OpType::And, left, right); std::vector sources; auto filter_node = std::make_shared( "plannode id 1", top, sources); auto plan = plan::PlanFragment(filter_node); auto query_context = std::make_shared( "test1", segment_.get(), 100000, MAX_TIMESTAMP, 0, 0, std::make_shared( std::unordered_map{})); auto start = std::chrono::steady_clock::now(); auto task = Task::Create("task_logical_binary_expr", plan, 0, query_context); int64_t num_rows = 0; for (;;) { auto result = task->Next(); if (!result) { break; } num_rows += result->size(); } auto cost = std::chrono::duration_cast( std::chrono::steady_clock::now() - start) .count(); std::cout << "cost: " << cost << "us" << std::endl; EXPECT_EQ(num_rows, num_rows_); } TEST_P(TaskTest, CompileInputs_and) { using namespace milvus; using namespace milvus::query; using namespace milvus::segcore; auto schema = std::make_shared(); auto vec_fid = schema->AddDebugField("fakevec", GetParam(), 16, knowhere::metric::L2); auto int64_fid = schema->AddDebugField("int64", DataType::INT64); proto::plan::GenericValue val; val.set_int64_val(10); // expr: (int64_fid < 10 and int64_fid < 10) and (int64_fid < 10 and int64_fid < 10) auto expr1 = std::make_shared( expr::ColumnInfo(int64_fid, DataType::INT64), proto::plan::OpType::GreaterThan, val, std::vector{}); auto expr2 = std::make_shared( expr::ColumnInfo(int64_fid, DataType::INT64), proto::plan::OpType::GreaterThan, val, std::vector{}); auto expr3 = std::make_shared( expr::LogicalBinaryExpr::OpType::And, expr1, expr2); auto expr4 = std::make_shared( expr::ColumnInfo(int64_fid, DataType::INT64), proto::plan::OpType::GreaterThan, val, std::vector{}); auto expr5 = std::make_shared( expr::ColumnInfo(int64_fid, DataType::INT64), proto::plan::OpType::GreaterThan, val, std::vector{}); auto expr6 = std::make_shared( expr::LogicalBinaryExpr::OpType::And, expr1, expr2); auto expr7 = std::make_shared( expr::LogicalBinaryExpr::OpType::And, expr3, expr6); auto query_context = std::make_shared( DEAFULT_QUERY_ID, segment_.get(), 100000, MAX_TIMESTAMP); auto exprs = milvus::exec::CompileInputs(expr7, query_context.get(), {}); EXPECT_EQ(exprs.size(), 4); for (int i = 0; i < exprs.size(); ++i) { std::cout << exprs[i]->name() << std::endl; EXPECT_STREQ(exprs[i]->name().c_str(), "PhyUnaryRangeFilterExpr"); } } TEST_P(TaskTest, CompileInputs_or_with_and) { using namespace milvus; using namespace milvus::query; using namespace milvus::segcore; auto schema = std::make_shared(); auto vec_fid = schema->AddDebugField("fakevec", GetParam(), 16, knowhere::metric::L2); auto int64_fid = schema->AddDebugField("int64", DataType::INT64); proto::plan::GenericValue val; val.set_int64_val(10); { // expr: (int64_fid > 10 and int64_fid > 10) or (int64_fid > 10 and int64_fid > 10) auto expr1 = std::make_shared( expr::ColumnInfo(int64_fid, DataType::INT64), proto::plan::OpType::GreaterThan, val, std::vector{}); auto expr2 = std::make_shared( expr::ColumnInfo(int64_fid, DataType::INT64), proto::plan::OpType::GreaterThan, val, std::vector{}); auto expr3 = std::make_shared( expr::LogicalBinaryExpr::OpType::And, expr1, expr2); auto expr4 = std::make_shared( expr::ColumnInfo(int64_fid, DataType::INT64), proto::plan::OpType::GreaterThan, val, std::vector{}); auto expr5 = std::make_shared( expr::ColumnInfo(int64_fid, DataType::INT64), proto::plan::OpType::GreaterThan, val, std::vector{}); auto expr6 = std::make_shared( expr::LogicalBinaryExpr::OpType::And, expr1, expr2); auto query_context = std::make_shared( DEAFULT_QUERY_ID, segment_.get(), 100000, MAX_TIMESTAMP); auto expr7 = std::make_shared( expr::LogicalBinaryExpr::OpType::Or, expr3, expr6); auto exprs = milvus::exec::CompileInputs(expr7, query_context.get(), {}); EXPECT_EQ(exprs.size(), 2); for (int i = 0; i < exprs.size(); ++i) { std::cout << exprs[i]->name() << std::endl; EXPECT_STREQ(exprs[i]->name().c_str(), "PhyConjunctFilterExpr"); } } { // expr: (int64_fid < 10 or int64_fid < 10) or (int64_fid > 10 and int64_fid > 10) auto expr1 = std::make_shared( expr::ColumnInfo(int64_fid, DataType::INT64), proto::plan::OpType::GreaterThan, val, std::vector{}); auto expr2 = std::make_shared( expr::ColumnInfo(int64_fid, DataType::INT64), proto::plan::OpType::GreaterThan, val, std::vector{}); auto expr3 = std::make_shared( expr::LogicalBinaryExpr::OpType::Or, expr1, expr2); auto expr4 = std::make_shared( expr::ColumnInfo(int64_fid, DataType::INT64), proto::plan::OpType::GreaterThan, val, std::vector{}); auto expr5 = std::make_shared( expr::ColumnInfo(int64_fid, DataType::INT64), proto::plan::OpType::GreaterThan, val, std::vector{}); auto expr6 = std::make_shared( expr::LogicalBinaryExpr::OpType::And, expr1, expr2); auto query_context = std::make_shared( DEAFULT_QUERY_ID, segment_.get(), 100000, MAX_TIMESTAMP); auto expr7 = std::make_shared( expr::LogicalBinaryExpr::OpType::Or, expr3, expr6); auto exprs = milvus::exec::CompileInputs(expr7, query_context.get(), {}); std::cout << exprs.size() << std::endl; EXPECT_EQ(exprs.size(), 3); for (int i = 0; i < exprs.size() - 1; ++i) { std::cout << exprs[i]->name() << std::endl; EXPECT_STREQ(exprs[i]->name().c_str(), "PhyUnaryRangeFilterExpr"); } EXPECT_STREQ(exprs[2]->name().c_str(), "PhyConjunctFilterExpr"); } { // expr: (int64_fid > 10 or int64_fid > 10) and (int64_fid > 10 and int64_fid > 10) auto expr1 = std::make_shared( expr::ColumnInfo(int64_fid, DataType::INT64), proto::plan::OpType::GreaterThan, val, std::vector{}); auto expr2 = std::make_shared( expr::ColumnInfo(int64_fid, DataType::INT64), proto::plan::OpType::GreaterThan, val, std::vector{}); auto expr3 = std::make_shared( expr::LogicalBinaryExpr::OpType::Or, expr1, expr2); auto expr4 = std::make_shared( expr::ColumnInfo(int64_fid, DataType::INT64), proto::plan::OpType::GreaterThan, val, std::vector{}); auto expr5 = std::make_shared( expr::ColumnInfo(int64_fid, DataType::INT64), proto::plan::OpType::GreaterThan, val, std::vector{}); auto expr6 = std::make_shared( expr::LogicalBinaryExpr::OpType::And, expr1, expr2); auto query_context = std::make_shared( DEAFULT_QUERY_ID, segment_.get(), 100000, MAX_TIMESTAMP); auto expr7 = std::make_shared( expr::LogicalBinaryExpr::OpType::And, expr3, expr6); auto exprs = milvus::exec::CompileInputs(expr7, query_context.get(), {}); std::cout << exprs.size() << std::endl; EXPECT_EQ(exprs.size(), 3); EXPECT_STREQ(exprs[0]->name().c_str(), "PhyConjunctFilterExpr"); for (int i = 1; i < exprs.size(); ++i) { std::cout << exprs[i]->name() << std::endl; EXPECT_STREQ(exprs[i]->name().c_str(), "PhyUnaryRangeFilterExpr"); } } } TEST_P(TaskTest, Test_reorder) { using namespace milvus; using namespace milvus::query; using namespace milvus::segcore; using namespace milvus::exec; { // expr: string2 like '%xx' and string2 == 'xxx' // reorder: string2 == "xxx" and string2 like '%xxx' proto::plan::GenericValue val1; val1.set_string_val("%xxx"); auto expr1 = std::make_shared( expr::ColumnInfo(field_map_["string2"], DataType::VARCHAR), proto::plan::OpType::Match, val1, std::vector{}); proto::plan::GenericValue val2; val2.set_string_val("xxx"); auto expr2 = std::make_shared( expr::ColumnInfo(field_map_["string2"], DataType::VARCHAR), proto::plan::OpType::Equal, val2, std::vector{}); auto expr3 = std::make_shared( expr::LogicalBinaryExpr::OpType::And, expr1, expr2); auto query_context = std::make_shared( DEAFULT_QUERY_ID, segment_.get(), 100000, MAX_TIMESTAMP); ExecContext context(query_context.get()); auto exprs = milvus::exec::CompileExpressions({expr3}, &context, {}, false); EXPECT_EQ(exprs.size(), 1); EXPECT_STREQ(exprs[0]->name().c_str(), "PhyConjunctFilterExpr"); auto phy_expr = std::static_pointer_cast( exprs[0]); std::cout << phy_expr->ToString() << std::endl; auto reorder = phy_expr->GetReorder(); EXPECT_EQ(reorder.size(), 2); EXPECT_EQ(reorder[0], 1); EXPECT_EQ(reorder[1], 0); } { // expr: string2 == 'xxx' and int1 < 100 // reorder: int1 < 100 and string2 == 'xxx' proto::plan::GenericValue val1; val1.set_string_val("xxx"); auto expr1 = std::make_shared( expr::ColumnInfo(field_map_["string2"], DataType::VARCHAR), proto::plan::OpType::Equal, val1, std::vector{}); proto::plan::GenericValue val2; val2.set_int64_val(100); auto expr2 = std::make_shared( expr::ColumnInfo(field_map_["int64"], DataType::INT64), proto::plan::OpType::LessThan, val2, std::vector{}); auto expr3 = std::make_shared( expr::LogicalBinaryExpr::OpType::And, expr1, expr2); auto query_context = std::make_shared( DEAFULT_QUERY_ID, segment_.get(), 100000, MAX_TIMESTAMP); ExecContext context(query_context.get()); auto exprs = milvus::exec::CompileExpressions({expr3}, &context, {}, false); EXPECT_EQ(exprs.size(), 1); EXPECT_STREQ(exprs[0]->name().c_str(), "PhyConjunctFilterExpr"); auto phy_expr = std::static_pointer_cast( exprs[0]); std::cout << phy_expr->ToString() << std::endl; auto reorder = phy_expr->GetReorder(); EXPECT_EQ(reorder.size(), 2); EXPECT_EQ(reorder[0], 1); EXPECT_EQ(reorder[1], 0); } { // expr: json['b'] like '%xx' and json['a'] == 'xxx' // reorder: json['a'] == 'xxx' and json['b'] like '%xx' proto::plan::GenericValue val1; val1.set_string_val("%xxx"); auto expr1 = std::make_shared( expr::ColumnInfo(field_map_["json"], DataType::JSON), proto::plan::OpType::Match, val1, std::vector{}); proto::plan::GenericValue val2; val2.set_string_val("xxx"); auto expr2 = std::make_shared( expr::ColumnInfo(field_map_["json"], DataType::JSON), proto::plan::OpType::Equal, val2, std::vector{}); auto expr3 = std::make_shared( expr::LogicalBinaryExpr::OpType::And, expr1, expr2); auto query_context = std::make_shared( DEAFULT_QUERY_ID, segment_.get(), 100000, MAX_TIMESTAMP); ExecContext context(query_context.get()); auto exprs = milvus::exec::CompileExpressions({expr3}, &context, {}, false); EXPECT_EQ(exprs.size(), 1); EXPECT_STREQ(exprs[0]->name().c_str(), "PhyConjunctFilterExpr"); auto phy_expr = std::static_pointer_cast( exprs[0]); std::cout << phy_expr->ToString() << std::endl; auto reorder = phy_expr->GetReorder(); EXPECT_EQ(reorder.size(), 2); EXPECT_EQ(reorder[0], 1); EXPECT_EQ(reorder[1], 0); } { // expr: json['a'] == 'xxx' and int1 == 100 // reorder: int1 == 100 and json['a'] == 'xxx' proto::plan::GenericValue val1; val1.set_string_val("xxx"); auto expr1 = std::make_shared( expr::ColumnInfo(field_map_["json"], DataType::JSON), proto::plan::OpType::Equal, val1, std::vector{}); proto::plan::GenericValue val2; val2.set_int64_val(100); auto expr2 = std::make_shared( expr::ColumnInfo(field_map_["int64"], DataType::INT64), proto::plan::OpType::Equal, val2, std::vector{}); auto expr3 = std::make_shared( expr::LogicalBinaryExpr::OpType::And, expr1, expr2); auto query_context = std::make_shared( DEAFULT_QUERY_ID, segment_.get(), 100000, MAX_TIMESTAMP); ExecContext context(query_context.get()); auto exprs = milvus::exec::CompileExpressions({expr3}, &context, {}, false); EXPECT_EQ(exprs.size(), 1); EXPECT_STREQ(exprs[0]->name().c_str(), "PhyConjunctFilterExpr"); auto phy_expr = std::static_pointer_cast( exprs[0]); std::cout << phy_expr->ToString() << std::endl; auto reorder = phy_expr->GetReorder(); EXPECT_EQ(reorder.size(), 2); EXPECT_EQ(reorder[0], 1); EXPECT_EQ(reorder[1], 0); } { // expr: json['a'] == 'xxx' and 0 < int1 < 100 // reorder: 0 < int1 < 100 and json['a'] == 'xxx' proto::plan::GenericValue val1; val1.set_string_val("xxx"); auto expr1 = std::make_shared( expr::ColumnInfo(field_map_["json"], DataType::JSON), proto::plan::OpType::Equal, val1, std::vector{}); proto::plan::GenericValue low; low.set_int64_val(0); proto::plan::GenericValue upper; upper.set_int64_val(100); auto expr2 = std::make_shared( expr::ColumnInfo(field_map_["int64"], DataType::INT64), low, upper, false, false); auto expr3 = std::make_shared( expr::LogicalBinaryExpr::OpType::And, expr1, expr2); auto query_context = std::make_shared( DEAFULT_QUERY_ID, segment_.get(), 100000, MAX_TIMESTAMP); ExecContext context(query_context.get()); auto exprs = milvus::exec::CompileExpressions({expr3}, &context, {}, false); EXPECT_EQ(exprs.size(), 1); EXPECT_STREQ(exprs[0]->name().c_str(), "PhyConjunctFilterExpr"); auto phy_expr = std::static_pointer_cast( exprs[0]); std::cout << phy_expr->ToString() << std::endl; auto reorder = phy_expr->GetReorder(); EXPECT_EQ(reorder.size(), 2); EXPECT_EQ(reorder[0], 1); EXPECT_EQ(reorder[1], 0); } { // expr: string1 != string2 and 0 < int1 < 100 // reorder: 0 < int1 < 100 and string1 != string2 proto::plan::GenericValue val1; val1.set_string_val("xxx"); auto expr1 = std::make_shared(field_map_["string1"], field_map_["string2"], DataType::VARCHAR, DataType::VARCHAR, OpType::LessThan); proto::plan::GenericValue low; low.set_int64_val(0); proto::plan::GenericValue upper; upper.set_int64_val(100); auto expr2 = std::make_shared( expr::ColumnInfo(field_map_["int64"], DataType::INT64), low, upper, false, false); auto expr3 = std::make_shared( expr::LogicalBinaryExpr::OpType::And, expr1, expr2); auto query_context = std::make_shared( DEAFULT_QUERY_ID, segment_.get(), 100000, MAX_TIMESTAMP); ExecContext context(query_context.get()); auto exprs = milvus::exec::CompileExpressions({expr3}, &context, {}, false); EXPECT_EQ(exprs.size(), 1); EXPECT_STREQ(exprs[0]->name().c_str(), "PhyConjunctFilterExpr"); auto phy_expr = std::static_pointer_cast( exprs[0]); std::cout << phy_expr->ToString() << std::endl; auto reorder = phy_expr->GetReorder(); EXPECT_EQ(reorder.size(), 2); EXPECT_EQ(reorder[0], 1); EXPECT_EQ(reorder[1], 0); } { // expr: string2 like '%xx' and string2 == 'xxx' // disable optimize expr, still remain sequence proto::plan::GenericValue val1; val1.set_string_val("%xxx"); auto expr1 = std::make_shared( expr::ColumnInfo(field_map_["string2"], DataType::VARCHAR), proto::plan::OpType::Match, val1, std::vector{}); proto::plan::GenericValue val2; val2.set_string_val("xxx"); auto expr2 = std::make_shared( expr::ColumnInfo(field_map_["string2"], DataType::VARCHAR), proto::plan::OpType::Equal, val2, std::vector{}); auto expr3 = std::make_shared( expr::LogicalBinaryExpr::OpType::And, expr1, expr2); auto query_context = std::make_shared( DEAFULT_QUERY_ID, segment_.get(), 100000, MAX_TIMESTAMP); ExecContext context(query_context.get()); OPTIMIZE_EXPR_ENABLED = false; auto exprs = milvus::exec::CompileExpressions({expr3}, &context, {}, false); EXPECT_EQ(exprs.size(), 1); EXPECT_STREQ(exprs[0]->name().c_str(), "PhyConjunctFilterExpr"); auto phy_expr = std::static_pointer_cast( exprs[0]); std::cout << phy_expr->ToString() << std::endl; auto reorder = phy_expr->GetReorder(); EXPECT_EQ(reorder.size(), 0); OPTIMIZE_EXPR_ENABLED = true; } } TEST_P(TaskTest, Test_MultiInConvert) { using namespace milvus; using namespace milvus::query; using namespace milvus::segcore; using namespace milvus::exec; { // expr: string2 == '111' or string2 == '222' or string2 == "333" proto::plan::GenericValue val1; val1.set_string_val("111"); auto expr1 = std::make_shared( expr::ColumnInfo(field_map_["string2"], DataType::VARCHAR), proto::plan::OpType::Equal, val1, std::vector{}); proto::plan::GenericValue val2; val2.set_string_val("222"); auto expr2 = std::make_shared( expr::ColumnInfo(field_map_["string2"], DataType::VARCHAR), proto::plan::OpType::Equal, val2, std::vector{}); auto expr3 = std::make_shared( expr::LogicalBinaryExpr::OpType::Or, expr1, expr2); proto::plan::GenericValue val3; val3.set_string_val("333"); auto expr4 = std::make_shared( expr::ColumnInfo(field_map_["string2"], DataType::VARCHAR), proto::plan::OpType::Equal, val3, std::vector{}); auto expr5 = std::make_shared( expr::LogicalBinaryExpr::OpType::Or, expr3, expr4); auto query_context = std::make_shared( DEAFULT_QUERY_ID, segment_.get(), 100000, MAX_TIMESTAMP); ExecContext context(query_context.get()); auto exprs = milvus::exec::CompileExpressions({expr5}, &context, {}, false); EXPECT_EQ(exprs.size(), 1); EXPECT_STREQ(exprs[0]->name().c_str(), "PhyConjunctFilterExpr"); auto phy_expr = std::static_pointer_cast( exprs[0]); auto inputs = phy_expr->GetInputsRef(); EXPECT_EQ(inputs.size(), 1); EXPECT_STREQ(inputs[0]->name().c_str(), "PhyTermFilterExpr"); } { // expr: string2 == '111' or string2 == '222' or (int64 > 10 && int64 < 100) or string2 == "333" proto::plan::GenericValue val1; val1.set_string_val("111"); auto expr1 = std::make_shared( expr::ColumnInfo(field_map_["string2"], DataType::VARCHAR), proto::plan::OpType::Equal, val1, std::vector{}); proto::plan::GenericValue val2; val2.set_string_val("222"); auto expr2 = std::make_shared( expr::ColumnInfo(field_map_["string2"], DataType::VARCHAR), proto::plan::OpType::Equal, val2, std::vector{}); auto expr3 = std::make_shared( expr::LogicalBinaryExpr::OpType::Or, expr1, expr2); proto::plan::GenericValue val3; val3.set_int64_val(10); auto expr4 = std::make_shared( expr::ColumnInfo(field_map_["int64"], DataType::INT64), proto::plan::OpType::GreaterThan, val3, std::vector{}); proto::plan::GenericValue val4; val4.set_int64_val(100); auto expr5 = std::make_shared( expr::ColumnInfo(field_map_["int64"], DataType::INT64), proto::plan::OpType::LessThan, val4, std::vector{}); auto expr6 = std::make_shared( expr::LogicalBinaryExpr::OpType::And, expr4, expr5); auto expr7 = std::make_shared( expr::LogicalBinaryExpr::OpType::Or, expr6, expr3); proto::plan::GenericValue val5; val5.set_string_val("333"); auto expr8 = std::make_shared( expr::ColumnInfo(field_map_["string2"], DataType::VARCHAR), proto::plan::OpType::Equal, val5, std::vector{}); auto expr9 = std::make_shared( expr::LogicalBinaryExpr::OpType::Or, expr7, expr8); auto query_context = std::make_shared( DEAFULT_QUERY_ID, segment_.get(), 100000, MAX_TIMESTAMP); ExecContext context(query_context.get()); auto exprs = milvus::exec::CompileExpressions({expr9}, &context, {}, false); EXPECT_EQ(exprs.size(), 1); EXPECT_STREQ(exprs[0]->name().c_str(), "PhyConjunctFilterExpr"); auto phy_expr = std::static_pointer_cast( exprs[0]); auto inputs = phy_expr->GetInputsRef(); EXPECT_EQ(inputs.size(), 2); EXPECT_STREQ(inputs[0]->name().c_str(), "PhyConjunctFilterExpr"); EXPECT_STREQ(inputs[1]->name().c_str(), "PhyTermFilterExpr"); } { // expr: json['a'] == "111" or json['a'] == "222" or json['3'] = "333" proto::plan::GenericValue val1; val1.set_string_val("111"); auto expr1 = std::make_shared( expr::ColumnInfo(field_map_["json"], DataType::JSON, std::vector{'a'}), proto::plan::OpType::Equal, val1, std::vector{}); proto::plan::GenericValue val2; val2.set_string_val("222"); auto expr2 = std::make_shared( expr::ColumnInfo(field_map_["json"], DataType::JSON, std::vector{'a'}), proto::plan::OpType::Equal, val2, std::vector{}); auto expr3 = std::make_shared( expr::LogicalBinaryExpr::OpType::Or, expr1, expr2); proto::plan::GenericValue val3; val3.set_string_val("333"); auto expr4 = std::make_shared( expr::ColumnInfo(field_map_["json"], DataType::JSON, std::vector{'a'}), proto::plan::OpType::Equal, val3, std::vector{}); auto expr5 = std::make_shared( expr::LogicalBinaryExpr::OpType::Or, expr3, expr4); auto query_context = std::make_shared( DEAFULT_QUERY_ID, segment_.get(), 100000, MAX_TIMESTAMP); ExecContext context(query_context.get()); auto exprs = milvus::exec::CompileExpressions({expr5}, &context, {}, false); EXPECT_EQ(exprs.size(), 1); EXPECT_STREQ(exprs[0]->name().c_str(), "PhyConjunctFilterExpr"); auto phy_expr = std::static_pointer_cast( exprs[0]); auto inputs = phy_expr->GetInputsRef(); EXPECT_EQ(inputs.size(), 1); EXPECT_STREQ(inputs[0]->name().c_str(), "PhyTermFilterExpr"); } { // expr: json['a'] == "111" or json['b'] == "222" or json['a'] == "333" proto::plan::GenericValue val1; val1.set_string_val("111"); auto expr1 = std::make_shared( expr::ColumnInfo(field_map_["json"], DataType::JSON, std::vector{'a'}), proto::plan::OpType::Equal, val1, std::vector{}); proto::plan::GenericValue val2; val2.set_string_val("222"); auto expr2 = std::make_shared( expr::ColumnInfo(field_map_["json"], DataType::JSON, std::vector{'b'}), proto::plan::OpType::Equal, val2, std::vector{}); auto expr3 = std::make_shared( expr::LogicalBinaryExpr::OpType::Or, expr1, expr2); proto::plan::GenericValue val3; val3.set_string_val("333"); auto expr4 = std::make_shared( expr::ColumnInfo(field_map_["json"], DataType::JSON, std::vector{'a'}), proto::plan::OpType::Equal, val3, std::vector{}); auto expr5 = std::make_shared( expr::LogicalBinaryExpr::OpType::Or, expr3, expr4); auto query_context = std::make_shared( DEAFULT_QUERY_ID, segment_.get(), 100000, MAX_TIMESTAMP); ExecContext context(query_context.get()); auto exprs = milvus::exec::CompileExpressions({expr5}, &context, {}, false); EXPECT_EQ(exprs.size(), 1); EXPECT_STREQ(exprs[0]->name().c_str(), "PhyConjunctFilterExpr"); auto phy_expr = std::static_pointer_cast( exprs[0]); auto inputs = phy_expr->GetInputsRef(); EXPECT_EQ(inputs.size(), 2); EXPECT_STREQ(inputs[0]->name().c_str(), "PhyTermFilterExpr"); EXPECT_STREQ(inputs[1]->name().c_str(), "PhyUnaryRangeFilterExpr"); } { // expr: json['a'] == "111" or json['b'] == "222" or json['a'] == 1 proto::plan::GenericValue val1; val1.set_string_val("111"); auto expr1 = std::make_shared( expr::ColumnInfo(field_map_["json"], DataType::JSON, std::vector{'a'}), proto::plan::OpType::Equal, val1, std::vector{}); proto::plan::GenericValue val2; val2.set_string_val("222"); auto expr2 = std::make_shared( expr::ColumnInfo(field_map_["json"], DataType::JSON, std::vector{'b'}), proto::plan::OpType::Equal, val2, std::vector{}); auto expr3 = std::make_shared( expr::LogicalBinaryExpr::OpType::Or, expr1, expr2); proto::plan::GenericValue val3; val3.set_int64_val(1); auto expr4 = std::make_shared( expr::ColumnInfo(field_map_["json"], DataType::JSON, std::vector{'a'}), proto::plan::OpType::Equal, val3, std::vector{}); auto expr5 = std::make_shared( expr::LogicalBinaryExpr::OpType::Or, expr3, expr4); auto query_context = std::make_shared( DEAFULT_QUERY_ID, segment_.get(), 100000, MAX_TIMESTAMP); ExecContext context(query_context.get()); auto exprs = milvus::exec::CompileExpressions({expr5}, &context, {}, false); EXPECT_EQ(exprs.size(), 1); EXPECT_STREQ(exprs[0]->name().c_str(), "PhyConjunctFilterExpr"); auto phy_expr = std::static_pointer_cast( exprs[0]); auto inputs = phy_expr->GetInputsRef(); EXPECT_EQ(inputs.size(), 3); } { // expr: int1 == 11 or int1 == 22 or int3 == 33 proto::plan::GenericValue val1; val1.set_int64_val(11); auto expr1 = std::make_shared( expr::ColumnInfo(field_map_["int64"], DataType::INT64), proto::plan::OpType::Equal, val1, std::vector{}); proto::plan::GenericValue val2; val2.set_int64_val(222); auto expr2 = std::make_shared( expr::ColumnInfo(field_map_["int64"], DataType::INT64), proto::plan::OpType::Equal, val2, std::vector{}); auto expr3 = std::make_shared( expr::LogicalBinaryExpr::OpType::Or, expr1, expr2); proto::plan::GenericValue val3; val3.set_int64_val(1); auto expr4 = std::make_shared( expr::ColumnInfo(field_map_["int64"], DataType::INT64), proto::plan::OpType::Equal, val3, std::vector{}); auto expr5 = std::make_shared( expr::LogicalBinaryExpr::OpType::Or, expr3, expr4); auto query_context = std::make_shared( DEAFULT_QUERY_ID, segment_.get(), 100000, MAX_TIMESTAMP); ExecContext context(query_context.get()); auto exprs = milvus::exec::CompileExpressions({expr5}, &context, {}, false); EXPECT_EQ(exprs.size(), 1); EXPECT_STREQ(exprs[0]->name().c_str(), "PhyConjunctFilterExpr"); auto phy_expr = std::static_pointer_cast( exprs[0]); auto inputs = phy_expr->GetInputsRef(); EXPECT_EQ(inputs.size(), 3); } }