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group_agg_test.cc
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// Copyright 2023 Ant Group Co., Ltd.
//
// 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 "engine/operator/group_agg.h"
#include "arrow/type.h"
#include "gtest/gtest.h"
#include "engine/core/tensor_constructor.h"
#include "engine/operator/all_ops_register.h"
#include "engine/operator/test_util.h"
namespace scql::engine::op {
struct GroupAggTestCase {
std::string op_type;
std::vector<test::NamedTensor> inputs;
test::NamedTensor group_id;
test::NamedTensor group_num;
std::vector<test::NamedTensor> outputs;
std::optional<std::pair<std::string, double>> double_attr;
};
class GroupAggTest : public testing::TestWithParam<GroupAggTestCase> {
protected:
void SetUp() override { RegisterAllOps(); }
static pb::ExecNode MakeExecNode(const GroupAggTestCase& tc);
};
TEST_P(GroupAggTest, works) {
// Given
auto tc = GetParam();
auto node = MakeExecNode(tc);
auto session = test::Make1PCSession();
ExecContext ctx(node, session.get());
test::FeedInputsAsPrivate(&ctx, tc.inputs);
test::FeedInputsAsPrivate(&ctx, {tc.group_id, tc.group_num});
// When
auto op = GetOpRegistry()->GetOperator(node.op_type());
ASSERT_TRUE(op);
EXPECT_NO_THROW(op->Run(&ctx));
// Then
for (size_t i = 0; i < tc.inputs.size(); ++i) {
auto actual_output = ctx.GetTensorTable()->GetTensor(tc.outputs[i].name);
ASSERT_TRUE(actual_output);
auto actual_arr = actual_output->ToArrowChunkedArray();
auto expect_arr = tc.outputs[i].tensor->ToArrowChunkedArray();
EXPECT_TRUE(actual_arr->ApproxEquals(
*expect_arr, arrow::EqualOptions::Defaults().atol(0.01)))
<< "\nexpect result = " << expect_arr->ToString()
<< "\nbut actual got result = " << actual_arr->ToString();
}
}
/// ===================
/// GroupAggTest impl
/// ===================
pb::ExecNode GroupAggTest::MakeExecNode(const GroupAggTestCase& tc) {
test::ExecNodeBuilder builder(tc.op_type);
builder.SetNodeName("plaintext-group-agg-test");
if (tc.double_attr.has_value()) {
builder.AddDoubleAttr(tc.double_attr->first, tc.double_attr->second);
}
std::vector<pb::Tensor> inputs;
for (const auto& named_tensor : tc.inputs) {
pb::Tensor t = test::MakePrivateTensorReference(
named_tensor.name, named_tensor.tensor->Type());
inputs.push_back(std::move(t));
}
builder.AddInput(GroupAggBase::kIn, inputs);
pb::Tensor t_id = test::MakePrivateTensorReference(
tc.group_id.name, tc.group_id.tensor->Type());
builder.AddInput(GroupAggBase::kGroupId, {t_id});
pb::Tensor t_num = test::MakePrivateTensorReference(
tc.group_num.name, tc.group_num.tensor->Type());
builder.AddInput(GroupAggBase::kGroupNum, {t_num});
std::vector<pb::Tensor> outputs;
for (const auto& named_tensor : tc.outputs) {
pb::Tensor t = test::MakePrivateTensorReference(
named_tensor.name, named_tensor.tensor->Type());
outputs.push_back(std::move(t));
}
builder.AddOutput(GroupAggBase::kOut, outputs);
return builder.Build();
}
static GroupAggTestCase GeneratePercentileDiscTestCase(
double percent, std::vector<int> input_sizes) {
std::string op_type = GroupPercentileDisc::kOpType;
std::string input_name = "x";
std::string output_name = "y";
std::string group_id_str = "[";
std::string output_str = "[";
std::string input_str = "[";
int group_num = 0;
for (const auto input_size : input_sizes) {
std::vector<int> input;
std::vector<int> group_id;
int start_value = 0;
while (input.size() < input_size) {
input.push_back(start_value);
start_value += 1;
group_id.push_back(group_num);
}
group_num++;
int expected_index = static_cast<int>(std::ceil(percent * input_size)) - 1;
expected_index = std::min(input_size - 1, expected_index);
int expected_value = input[expected_index];
std::random_device rd;
std::mt19937 g(rd());
std::shuffle(input.begin(), input.end(), g);
for (size_t i = 0; i < input.size(); ++i) {
input_str += std::to_string(input[i]);
input_str += ",";
group_id_str += std::to_string(group_id[i]);
group_id_str += ",";
}
output_str += std::to_string(expected_value) + ",";
}
input_str.pop_back();
input_str += "]";
output_str.pop_back();
output_str += "]";
group_id_str.pop_back();
group_id_str += "]";
auto group_id_tensor = TensorFrom(arrow::uint32(), group_id_str);
return GroupAggTestCase{
.op_type = op_type,
.inputs = {test::NamedTensor(input_name,
TensorFrom(arrow::int32(), input_str))},
.group_id = test::NamedTensor("group_id", group_id_tensor),
.group_num = test::NamedTensor(
"group_num",
TensorFrom(arrow::uint32(),
"[" + std::to_string(input_sizes.size()) + "]")),
.outputs = {test::NamedTensor(output_name,
TensorFrom(arrow::int32(), output_str))},
.double_attr = std::make_pair(GroupPercentileDisc::kPercent, percent)};
}
INSTANTIATE_TEST_SUITE_P(
GroupBatchTest, GroupAggTest,
testing::Values(
GroupAggTestCase{
.op_type = GroupFirstOf::kOpType,
.inputs =
{test::NamedTensor("in_a", TensorFrom(arrow::int64(),
"[null, 0, 1, 1, 2]")),
test::NamedTensor("in_b", TensorFrom(arrow::float32(),
"[0, 0, 1.1, 1.1, 2.2]")),
test::NamedTensor(
"in_c", TensorFrom(arrow::large_utf8(),
R"json(["A","A","B","B","CCC"])json"))},
.group_id = test::NamedTensor(
"group_id", TensorFrom(arrow::uint32(), "[0, 0, 1, 1, 2]")),
.group_num = test::NamedTensor("group_num",
TensorFrom(arrow::uint32(), "[3]")),
.outputs = {test::NamedTensor("out_a", TensorFrom(arrow::int64(),
"[null, 1, 2]")),
test::NamedTensor("out_b", TensorFrom(arrow::float32(),
"[0, 1.1, 2.2]")),
test::NamedTensor(
"out_c",
TensorFrom(arrow::large_utf8(),
R"json(["A","B","CCC"])json"))}},
GroupAggTestCase{
.op_type = GroupCountDistinct::kOpType,
.inputs = {test::NamedTensor("in_a",
TensorFrom(arrow::int64(),
"[null, 0, 1, 1, 2]")),
test::NamedTensor("in_b",
TensorFrom(arrow::float32(),
"[0, 0, 1.1, 1.1, 2.2]"))},
.group_id = test::NamedTensor(
"group_id", TensorFrom(arrow::uint32(), "[0, 0, 1, 1, 2]")),
.group_num = test::NamedTensor("group_num",
TensorFrom(arrow::uint32(), "[3]")),
.outputs = {test::NamedTensor("out_a", TensorFrom(arrow::int64(),
"[1, 1, 1]")),
test::NamedTensor("out_b", TensorFrom(arrow::int64(),
"[1, 1, 1]"))}},
GroupAggTestCase{
.op_type = GroupCount::kOpType,
.inputs = {test::NamedTensor("in_a",
TensorFrom(arrow::int64(),
"[null, 0, 1, 1, 2]")),
test::NamedTensor("in_b",
TensorFrom(arrow::float32(),
"[0, 0, 1.1, 1.1, 2.2]"))},
.group_id = test::NamedTensor(
"group_id", TensorFrom(arrow::uint32(), "[0, 0, 1, 1, 2]")),
.group_num = test::NamedTensor("group_num",
TensorFrom(arrow::uint32(), "[3]")),
.outputs = {test::NamedTensor("out_a", TensorFrom(arrow::int64(),
"[1, 2, 1]")),
test::NamedTensor("out_b", TensorFrom(arrow::int64(),
"[2, 2, 1]"))}},
GroupAggTestCase{
.op_type = GroupSum::kOpType,
.inputs =
{test::NamedTensor("in_a", TensorFrom(arrow::int64(),
"[0, 1, 2, 3, null]")),
test::NamedTensor(
"in_b",
TensorFrom(arrow::float32(), "[0, 1.1, 2.2, 3.3, 4.4]"))},
.group_id = test::NamedTensor(
"group_id", TensorFrom(arrow::uint32(), "[0, 0, 1, 1, 2]")),
.group_num = test::NamedTensor("group_num",
TensorFrom(arrow::uint32(), "[3]")),
.outputs = {test::NamedTensor("out_a", TensorFrom(arrow::int64(),
"[1, 5, null]")),
test::NamedTensor("out_b",
TensorFrom(arrow::float64(),
"[1.1, 5.5, 4.4]"))}},
GroupAggTestCase{
.op_type = GroupAvg::kOpType,
.inputs =
{test::NamedTensor("in_a", TensorFrom(arrow::int64(),
"[0, 1, 2, 3, null]")),
test::NamedTensor(
"in_b",
TensorFrom(arrow::float32(), "[0, 1.1, 2.2, 3.3, 4.4]"))},
.group_id = test::NamedTensor(
"group_id", TensorFrom(arrow::uint32(), "[0, 0, 1, 1, 2]")),
.group_num = test::NamedTensor("group_num",
TensorFrom(arrow::uint32(), "[3]")),
.outputs = {test::NamedTensor("out_a",
TensorFrom(arrow::float64(),
"[0.5, 2.5, null]")),
test::NamedTensor("out_b",
TensorFrom(arrow::float64(),
"[0.55, 2.75, 4.4]"))}},
GroupAggTestCase{
.op_type = GroupMin::kOpType,
.inputs =
{test::NamedTensor("in_a", TensorFrom(arrow::int64(),
"[0, 1, 2, 3, null]")),
test::NamedTensor(
"in_b",
TensorFrom(arrow::float32(), "[0, 1.1, 2.2, 3.3, 4.4]"))},
.group_id = test::NamedTensor(
"group_id", TensorFrom(arrow::uint32(), "[0, 0, 1, 1, 2]")),
.group_num = test::NamedTensor("group_num",
TensorFrom(arrow::uint32(), "[3]")),
.outputs = {test::NamedTensor("out_a", TensorFrom(arrow::int64(),
"[0, 2, null]")),
test::NamedTensor("out_b",
TensorFrom(arrow::float32(),
"[0, 2.2, 4.4]"))}},
GroupAggTestCase{
.op_type = GroupMax::kOpType,
.inputs =
{test::NamedTensor("in_a", TensorFrom(arrow::int64(),
"[0, 1, 2, 3, null]")),
test::NamedTensor(
"in_b",
TensorFrom(arrow::float32(), "[0, 1.1, 2.2, 3.3, 4.4]"))},
.group_id = test::NamedTensor(
"group_id", TensorFrom(arrow::uint32(), "[0, 0, 1, 1, 2]")),
.group_num = test::NamedTensor("group_num",
TensorFrom(arrow::uint32(), "[3]")),
.outputs = {test::NamedTensor("out_a", TensorFrom(arrow::int64(),
"[1, 3, null]")),
test::NamedTensor("out_b",
TensorFrom(arrow::float32(),
"[1.1, 3.3, 4.4]"))}},
GroupAggTestCase{
.op_type = GroupPercentileDisc::kOpType,
.inputs =
{test::NamedTensor("in_a", TensorFrom(arrow::int64(),
"[0, 1, 2, 3, 4, null]")),
test::NamedTensor(
"in_b", TensorFrom(arrow::float32(),
"[0, 1.1, 3.3, 2.2, 4.4, 5.5]"))},
.group_id = test::NamedTensor(
"group_id", TensorFrom(arrow::uint32(), "[0, 0, 1, 1, 1, 2]")),
.group_num = test::NamedTensor("group_num",
TensorFrom(arrow::uint32(), "[3]")),
.outputs = {test::NamedTensor("out_a", TensorFrom(arrow::int64(),
"[0, 3, null]")),
test::NamedTensor("out_b",
TensorFrom(arrow::float32(),
"[0, 3.3, 5.5]"))},
.double_attr = std::make_pair(
GroupPercentileDisc::kPercent,
0.5) // the index of each group should be [0, 0, 0]
},
GroupAggTestCase{
.op_type = GroupPercentileDisc::kOpType,
.inputs =
{test::NamedTensor("in_a", TensorFrom(arrow::int64(),
"[0, 1, 2, 3, 4, null]")),
test::NamedTensor(
"in_b", TensorFrom(arrow::float32(),
"[0, 1.1, 2.2, 3.3, 4.4, 5.5]"))},
.group_id = test::NamedTensor(
"group_id", TensorFrom(arrow::uint32(), "[0, 0, 1, 1, 1, 2]")),
.group_num = test::NamedTensor("group_num",
TensorFrom(arrow::uint32(), "[3]")),
.outputs = {test::NamedTensor("out_a", TensorFrom(arrow::int64(),
"[0, 2, null]")),
test::NamedTensor("out_b",
TensorFrom(arrow::float32(),
"[0, 2.2, 5.5]"))},
.double_attr = std::make_pair(
"percent", 0) // the index of each group should be [0, 0, 0]
},
GroupAggTestCase{
.op_type = GroupPercentileDisc::kOpType,
.inputs =
{test::NamedTensor("in_a", TensorFrom(arrow::int64(),
"[0, 1, 2, 3, 4, null]")),
test::NamedTensor(
"in_b", TensorFrom(arrow::float32(),
"[0, 1.1, 2.2, 3.3, 4.4, 5.5]"))},
.group_id = test::NamedTensor(
"group_id", TensorFrom(arrow::uint32(), "[0, 0, 1, 1, 1, 2]")),
.group_num = test::NamedTensor("group_num",
TensorFrom(arrow::uint32(), "[3]")),
.outputs = {test::NamedTensor("out_a", TensorFrom(arrow::int64(),
"[1, 4, null]")),
test::NamedTensor("out_b",
TensorFrom(arrow::float32(),
"[1.1, 4.4, 5.5]"))},
.double_attr = std::make_pair(
"percent", 1) // the index of each group should be [1, 2, 0]
},
GeneratePercentileDiscTestCase(0.333, {1000, 200, 1}),
GeneratePercentileDiscTestCase(0.43, {2, 987, 1241, 876})));
INSTANTIATE_TEST_SUITE_P(
GroupBatchEmptyTest, GroupAggTest,
testing::Values(
GroupAggTestCase{
.op_type = GroupFirstOf::kOpType,
.inputs =
{test::NamedTensor("in_a", TensorFrom(arrow::int64(), "[]")),
test::NamedTensor("in_b", TensorFrom(arrow::float32(), "[]")),
test::NamedTensor("in_c", TensorFrom(arrow::large_utf8(),
R"json([])json"))},
.group_id = test::NamedTensor("group_id",
TensorFrom(arrow::uint32(), "[]")),
.group_num = test::NamedTensor("group_num",
TensorFrom(arrow::uint32(), "[0]")),
.outputs =
{test::NamedTensor("out_a", TensorFrom(arrow::int64(), "[]")),
test::NamedTensor("out_b", TensorFrom(arrow::float32(), "[]")),
test::NamedTensor("out_c", TensorFrom(arrow::large_utf8(),
R"json([])json"))}},
GroupAggTestCase{
.op_type = GroupCountDistinct::kOpType,
.inputs =
{test::NamedTensor("in_a", TensorFrom(arrow::int64(), "[]")),
test::NamedTensor("in_b", TensorFrom(arrow::float32(), "[]"))},
.group_id = test::NamedTensor("group_id",
TensorFrom(arrow::uint32(), "[]")),
.group_num = test::NamedTensor("group_num",
TensorFrom(arrow::uint32(), "[0]")),
.outputs =
{test::NamedTensor("out_a", TensorFrom(arrow::int64(), "[]")),
test::NamedTensor("out_b", TensorFrom(arrow::int64(), "[]"))}},
GroupAggTestCase{
.op_type = GroupCount::kOpType,
.inputs =
{test::NamedTensor("in_a", TensorFrom(arrow::int64(), "[]")),
test::NamedTensor("in_b", TensorFrom(arrow::float32(), "[]"))},
.group_id = test::NamedTensor("group_id",
TensorFrom(arrow::uint32(), "[]")),
.group_num = test::NamedTensor("group_num",
TensorFrom(arrow::uint32(), "[0]")),
.outputs =
{test::NamedTensor("out_a", TensorFrom(arrow::int64(), "[]")),
test::NamedTensor("out_b", TensorFrom(arrow::int64(), "[]"))}},
GroupAggTestCase{
.op_type = GroupSum::kOpType,
.inputs =
{test::NamedTensor("in_a", TensorFrom(arrow::int64(), "[]")),
test::NamedTensor("in_b", TensorFrom(arrow::float32(), "[]"))},
.group_id = test::NamedTensor("group_id",
TensorFrom(arrow::uint32(), "[]")),
.group_num = test::NamedTensor("group_num",
TensorFrom(arrow::uint32(), "[0]")),
.outputs = {test::NamedTensor("out_a",
TensorFrom(arrow::int64(), "[]")),
test::NamedTensor("out_b",
TensorFrom(arrow::float64(), "[]"))}},
GroupAggTestCase{
.op_type = GroupAvg::kOpType,
.inputs =
{test::NamedTensor("in_a", TensorFrom(arrow::int64(), "[]")),
test::NamedTensor("in_b", TensorFrom(arrow::float32(), "[]"))},
.group_id = test::NamedTensor("group_id",
TensorFrom(arrow::uint32(), "[]")),
.group_num = test::NamedTensor("group_num",
TensorFrom(arrow::uint32(), "[0]")),
.outputs = {test::NamedTensor("out_a",
TensorFrom(arrow::float64(), "[]")),
test::NamedTensor("out_b",
TensorFrom(arrow::float64(), "[]"))}},
GroupAggTestCase{
.op_type = GroupMin::kOpType,
.inputs =
{test::NamedTensor("in_a", TensorFrom(arrow::int64(), "[]")),
test::NamedTensor("in_b", TensorFrom(arrow::float32(), "[]"))},
.group_id = test::NamedTensor("group_id",
TensorFrom(arrow::uint32(), "[]")),
.group_num = test::NamedTensor("group_num",
TensorFrom(arrow::uint32(), "[0]")),
.outputs = {test::NamedTensor("out_a",
TensorFrom(arrow::int64(), "[]")),
test::NamedTensor("out_b",
TensorFrom(arrow::float32(), "[]"))}},
GroupAggTestCase{
.op_type = GroupMax::kOpType,
.inputs =
{test::NamedTensor("in_a", TensorFrom(arrow::int64(), "[]")),
test::NamedTensor("in_b", TensorFrom(arrow::float32(), "[]"))},
.group_id = test::NamedTensor("group_id",
TensorFrom(arrow::uint32(), "[]")),
.group_num = test::NamedTensor("group_num",
TensorFrom(arrow::uint32(), "[0]")),
.outputs = {test::NamedTensor("out_a",
TensorFrom(arrow::int64(), "[]")),
test::NamedTensor("out_b",
TensorFrom(arrow::float32(), "[]"))}},
GroupAggTestCase{
.op_type = GroupPercentileDisc::kOpType,
.inputs =
{test::NamedTensor("in_a", TensorFrom(arrow::int64(), "[]")),
test::NamedTensor("in_b", TensorFrom(arrow::float32(), "[]"))},
.group_id = test::NamedTensor("group_id",
TensorFrom(arrow::uint32(), "[]")),
.group_num = test::NamedTensor("group_num",
TensorFrom(arrow::uint32(), "[0]")),
.outputs = {test::NamedTensor("out_a",
TensorFrom(arrow::int64(), "[]")),
test::NamedTensor("out_b",
TensorFrom(arrow::float32(), "[]"))},
.double_attr = std::make_pair(GroupPercentileDisc::kPercent,
0.5)}));
} // namespace scql::engine::op