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