milvus/internal/core/unittest/test_exec.cpp

994 lines
44 KiB
C++

// 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 <boost/format.hpp>
#include <gtest/gtest.h>
#include <cstdint>
#include <memory>
#include <vector>
#include <chrono>
#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<DataType> {
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<Schema>();
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<std::string, FieldId> 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<milvus::expr::TypedExprPtr> parameters;
parameters.push_back(std::make_shared<milvus::expr::ColumnExpr>(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<milvus::expr::CallExpr>(
"empty", parameters, empty_function_ptr);
ASSERT_EQ(call_expr->inputs().size(), 1);
std::vector<milvus::plan::PlanNodePtr> sources;
auto filter_node = std::make_shared<milvus::plan::FilterBitsNode>(
"plannode id 1", call_expr, sources);
auto plan = plan::PlanFragment(filter_node);
auto query_context = std::make_shared<milvus::exec::QueryContext>(
"test1",
segment_.get(),
100000,
MAX_TIMESTAMP,
0,
0,
std::make_shared<milvus::exec::QueryConfig>(
std::unordered_map<std::string, std::string>{}));
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::microseconds>(
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<milvus::expr::UnaryRangeFilterExpr>(
expr::ColumnInfo(field_map_["int64"], DataType::INT64),
proto::plan::OpType::LessThan,
value,
std::vector<proto::plan::GenericValue>{});
std::vector<milvus::plan::PlanNodePtr> sources;
auto filter_node = std::make_shared<milvus::plan::FilterBitsNode>(
"plannode id 1", logical_expr, sources);
auto plan = plan::PlanFragment(filter_node);
auto query_context = std::make_shared<milvus::exec::QueryContext>(
"test1",
segment_.get(),
100000,
MAX_TIMESTAMP,
0,
0,
std::make_shared<milvus::exec::QueryConfig>(
std::unordered_map<std::string, std::string>{}));
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::microseconds>(
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<milvus::expr::UnaryRangeFilterExpr>(
expr::ColumnInfo(field_map_["int64"], DataType::INT64),
proto::plan::OpType::LessThan,
value,
std::vector<proto::plan::GenericValue>{});
auto right = std::make_shared<milvus::expr::UnaryRangeFilterExpr>(
expr::ColumnInfo(field_map_["int64"], DataType::INT64),
proto::plan::OpType::LessThan,
value,
std::vector<proto::plan::GenericValue>{});
auto top = std::make_shared<milvus::expr::LogicalBinaryExpr>(
expr::LogicalBinaryExpr::OpType::And, left, right);
std::vector<milvus::plan::PlanNodePtr> sources;
auto filter_node = std::make_shared<milvus::plan::FilterBitsNode>(
"plannode id 1", top, sources);
auto plan = plan::PlanFragment(filter_node);
auto query_context = std::make_shared<milvus::exec::QueryContext>(
"test1",
segment_.get(),
100000,
MAX_TIMESTAMP,
0,
0,
std::make_shared<milvus::exec::QueryConfig>(
std::unordered_map<std::string, std::string>{}));
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::microseconds>(
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<Schema>();
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::UnaryRangeFilterExpr>(
expr::ColumnInfo(int64_fid, DataType::INT64),
proto::plan::OpType::GreaterThan,
val,
std::vector<proto::plan::GenericValue>{});
auto expr2 = std::make_shared<expr::UnaryRangeFilterExpr>(
expr::ColumnInfo(int64_fid, DataType::INT64),
proto::plan::OpType::GreaterThan,
val,
std::vector<proto::plan::GenericValue>{});
auto expr3 = std::make_shared<expr::LogicalBinaryExpr>(
expr::LogicalBinaryExpr::OpType::And, expr1, expr2);
auto expr4 = std::make_shared<expr::UnaryRangeFilterExpr>(
expr::ColumnInfo(int64_fid, DataType::INT64),
proto::plan::OpType::GreaterThan,
val,
std::vector<proto::plan::GenericValue>{});
auto expr5 = std::make_shared<expr::UnaryRangeFilterExpr>(
expr::ColumnInfo(int64_fid, DataType::INT64),
proto::plan::OpType::GreaterThan,
val,
std::vector<proto::plan::GenericValue>{});
auto expr6 = std::make_shared<expr::LogicalBinaryExpr>(
expr::LogicalBinaryExpr::OpType::And, expr1, expr2);
auto expr7 = std::make_shared<expr::LogicalBinaryExpr>(
expr::LogicalBinaryExpr::OpType::And, expr3, expr6);
auto query_context = std::make_shared<milvus::exec::QueryContext>(
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<Schema>();
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::UnaryRangeFilterExpr>(
expr::ColumnInfo(int64_fid, DataType::INT64),
proto::plan::OpType::GreaterThan,
val,
std::vector<proto::plan::GenericValue>{});
auto expr2 = std::make_shared<expr::UnaryRangeFilterExpr>(
expr::ColumnInfo(int64_fid, DataType::INT64),
proto::plan::OpType::GreaterThan,
val,
std::vector<proto::plan::GenericValue>{});
auto expr3 = std::make_shared<expr::LogicalBinaryExpr>(
expr::LogicalBinaryExpr::OpType::And, expr1, expr2);
auto expr4 = std::make_shared<expr::UnaryRangeFilterExpr>(
expr::ColumnInfo(int64_fid, DataType::INT64),
proto::plan::OpType::GreaterThan,
val,
std::vector<proto::plan::GenericValue>{});
auto expr5 = std::make_shared<expr::UnaryRangeFilterExpr>(
expr::ColumnInfo(int64_fid, DataType::INT64),
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::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::UnaryRangeFilterExpr>(
expr::ColumnInfo(int64_fid, DataType::INT64),
proto::plan::OpType::GreaterThan,
val,
std::vector<proto::plan::GenericValue>{});
auto expr2 = std::make_shared<expr::UnaryRangeFilterExpr>(
expr::ColumnInfo(int64_fid, DataType::INT64),
proto::plan::OpType::GreaterThan,
val,
std::vector<proto::plan::GenericValue>{});
auto expr3 = std::make_shared<expr::LogicalBinaryExpr>(
expr::LogicalBinaryExpr::OpType::Or, expr1, expr2);
auto expr4 = std::make_shared<expr::UnaryRangeFilterExpr>(
expr::ColumnInfo(int64_fid, DataType::INT64),
proto::plan::OpType::GreaterThan,
val,
std::vector<proto::plan::GenericValue>{});
auto expr5 = std::make_shared<expr::UnaryRangeFilterExpr>(
expr::ColumnInfo(int64_fid, DataType::INT64),
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::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::UnaryRangeFilterExpr>(
expr::ColumnInfo(int64_fid, DataType::INT64),
proto::plan::OpType::GreaterThan,
val,
std::vector<proto::plan::GenericValue>{});
auto expr2 = std::make_shared<expr::UnaryRangeFilterExpr>(
expr::ColumnInfo(int64_fid, DataType::INT64),
proto::plan::OpType::GreaterThan,
val,
std::vector<proto::plan::GenericValue>{});
auto expr3 = std::make_shared<expr::LogicalBinaryExpr>(
expr::LogicalBinaryExpr::OpType::Or, expr1, expr2);
auto expr4 = std::make_shared<expr::UnaryRangeFilterExpr>(
expr::ColumnInfo(int64_fid, DataType::INT64),
proto::plan::OpType::GreaterThan,
val,
std::vector<proto::plan::GenericValue>{});
auto expr5 = std::make_shared<expr::UnaryRangeFilterExpr>(
expr::ColumnInfo(int64_fid, DataType::INT64),
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);
}
}