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milvus/internal/core/unittest/test_chunk_cache.cpp
smellthemoon cb1e86e17c
enhance: support add field (#39800) 
after the pr merged, we can support to insert, upsert, build index,
query, search in the added field.
can only do the above operates in added field after add field request
complete, which is a sync operate.

compact will be supported in the next pr.
#39718

---------

Signed-off-by: lixinguo <xinguo.li@zilliz.com>
Co-authored-by: lixinguo <xinguo.li@zilliz.com>
2025-04-02 14:24:31 +08:00

270 lines
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// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you 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 <gtest/gtest.h>
#include <iostream>
#include <optional>
#include <string>
#include <utility>
#include <vector>
#include "common/Consts.h"
#include "common/FieldMeta.h"
#include "common/Types.h"
#include "fmt/format.h"
#include "common/Schema.h"
#include "gtest/gtest.h"
#include "knowhere/sparse_utils.h"
#include "mmap/Column.h"
#include "test_utils/DataGen.h"
#include "test_utils/storage_test_utils.h"
#include "storage/ChunkCache.h"
#include "storage/LocalChunkManagerSingleton.h"
#define DEFAULT_READ_AHEAD_POLICY "willneed"
class ChunkCacheTest
: public testing::TestWithParam<
/*mmap enabled, is chunked*/ std::tuple<bool, bool>> {
protected:
void
SetUp() override {
mcm = milvus::storage::MmapManager::GetInstance().GetMmapChunkManager();
mcm->Register(descriptor);
N = 10000;
dim = 128;
auto dense_metric_type = knowhere::metric::L2;
auto sparse_metric_type = knowhere::metric::IP;
auto schema = std::make_shared<milvus::Schema>();
auto fake_dense_vec_id = schema->AddDebugField(
"fakevec", milvus::DataType::VECTOR_FLOAT, dim, dense_metric_type);
auto i64_fid =
schema->AddDebugField("counter", milvus::DataType::INT64);
auto fake_sparse_vec_id =
schema->AddDebugField("fakevec_sparse",
milvus::DataType::VECTOR_SPARSE_FLOAT,
dim,
sparse_metric_type);
schema->set_primary_field_id(i64_fid);
auto dataset = milvus::segcore::DataGen(schema, N);
auto dense_field_data_meta =
milvus::storage::FieldDataMeta{1, 2, 3, fake_dense_vec_id.get()};
auto sparse_field_data_meta =
milvus::storage::FieldDataMeta{1, 2, 3, fake_sparse_vec_id.get()};
dense_field_meta = milvus::FieldMeta(milvus::FieldName("fakevec"),
fake_dense_vec_id,
milvus::DataType::VECTOR_FLOAT,
dim,
dense_metric_type,
false,
std::nullopt);
sparse_field_meta =
milvus::FieldMeta(milvus::FieldName("fakevec_sparse"),
fake_sparse_vec_id,
milvus::DataType::VECTOR_SPARSE_FLOAT,
dim,
sparse_metric_type,
false,
std::nullopt);
lcm = milvus::storage::LocalChunkManagerSingleton::GetInstance()
.GetChunkManager();
dense_data = dataset.get_col<float>(fake_dense_vec_id);
sparse_data = dataset.get_col<knowhere::sparse::SparseRow<float>>(
fake_sparse_vec_id);
auto data_slices = std::vector<void*>{dense_data.data()};
auto slice_sizes = std::vector<int64_t>{static_cast<int64_t>(N)};
auto slice_names = std::vector<std::string>{dense_file_name};
PutFieldData(lcm.get(),
data_slices,
slice_sizes,
slice_names,
dense_field_data_meta,
dense_field_meta);
data_slices = std::vector<void*>{sparse_data.data()};
slice_sizes = std::vector<int64_t>{static_cast<int64_t>(N)};
slice_names = std::vector<std::string>{sparse_file_name};
PutFieldData(lcm.get(),
data_slices,
slice_sizes,
slice_names,
sparse_field_data_meta,
sparse_field_meta);
}
void
TearDown() override {
mcm->UnRegister(descriptor);
}
const char* dense_file_name = "chunk_cache_test/insert_log/2/101/1000000";
const char* sparse_file_name = "chunk_cache_test/insert_log/2/102/1000000";
milvus::storage::MmapChunkManagerPtr mcm;
milvus::segcore::SegcoreConfig config;
milvus::storage::MmapChunkDescriptorPtr descriptor =
std::shared_ptr<milvus::storage::MmapChunkDescriptor>(
new milvus::storage::MmapChunkDescriptor(
{101, SegmentType::Sealed}));
int N;
int dim;
milvus::FieldMeta dense_field_meta = milvus::FieldMeta::RowIdMeta;
milvus::FixedVector<float> dense_data;
milvus::FieldMeta sparse_field_meta = milvus::FieldMeta::RowIdMeta;
milvus::FixedVector<knowhere::sparse::SparseRow<float>> sparse_data;
std::shared_ptr<milvus::storage::LocalChunkManager> lcm;
};
INSTANTIATE_TEST_SUITE_P(ChunkCacheTestSuite,
ChunkCacheTest,
testing::Combine(testing::Bool(), testing::Bool()));
TEST_P(ChunkCacheTest, Read) {
auto cc = milvus::storage::MmapManager::GetInstance().GetChunkCache();
// validate dense data
std::shared_ptr<milvus::ColumnBase> dense_column;
auto p = GetParam();
auto mmap_enabled = std::get<0>(p);
auto is_test_chunked = std::get<1>(p);
if (is_test_chunked) {
dense_column =
cc->Read(dense_file_name, dense_field_meta, mmap_enabled);
} else {
dense_column = cc->Read(
dense_file_name, descriptor, dense_field_meta, mmap_enabled);
Assert(dense_column->DataByteSize() == dim * N * 4);
}
auto actual_dense = (const float*)(dense_column->Data(0));
for (auto i = 0; i < N * dim; i++) {
AssertInfo(dense_data[i] == actual_dense[i],
fmt::format(
"expect {}, actual {}", dense_data[i], actual_dense[i]));
}
// validate sparse data
std::shared_ptr<milvus::ColumnBase> sparse_column;
if (is_test_chunked) {
sparse_column =
cc->Read(sparse_file_name, sparse_field_meta, mmap_enabled);
} else {
sparse_column = cc->Read(
sparse_file_name, descriptor, sparse_field_meta, mmap_enabled);
}
auto expected_sparse_size = 0;
auto actual_sparse =
(const knowhere::sparse::SparseRow<float>*)(sparse_column->Data(0));
for (auto i = 0; i < N; i++) {
const auto& actual_sparse_row = actual_sparse[i];
const auto& expect_sparse_row = sparse_data[i];
AssertInfo(
actual_sparse_row.size() == expect_sparse_row.size(),
fmt::format("Incorrect size of sparse row: expect {}, actual {}",
expect_sparse_row.size(),
actual_sparse_row.size()));
auto bytes = actual_sparse_row.data_byte_size();
AssertInfo(
memcmp(actual_sparse_row.data(), expect_sparse_row.data(), bytes) ==
0,
fmt::format("Incorrect data of sparse row: expect {}, actual {}",
expect_sparse_row.data(),
actual_sparse_row.data()));
expected_sparse_size += bytes;
}
if (!is_test_chunked) {
Assert(sparse_column->DataByteSize() == expected_sparse_size);
}
cc->Remove(dense_file_name);
cc->Remove(sparse_file_name);
lcm->Remove(dense_file_name);
lcm->Remove(sparse_file_name);
}
TEST_P(ChunkCacheTest, TestMultithreads) {
auto cc = milvus::storage::MmapManager::GetInstance().GetChunkCache();
constexpr int threads = 16;
std::vector<int64_t> total_counts(threads);
auto p = GetParam();
auto mmap_enabled = std::get<0>(p);
auto is_test_chunked = std::get<1>(p);
auto executor = [&](int thread_id) {
std::shared_ptr<milvus::ColumnBase> dense_column;
if (is_test_chunked) {
dense_column =
cc->Read(dense_file_name, dense_field_meta, mmap_enabled);
} else {
dense_column = cc->Read(
dense_file_name, descriptor, dense_field_meta, mmap_enabled);
Assert(dense_column->DataByteSize() == dim * N * 4);
}
auto actual_dense = (const float*)dense_column->Data(0);
for (auto i = 0; i < N * dim; i++) {
AssertInfo(
dense_data[i] == actual_dense[i],
fmt::format(
"expect {}, actual {}", dense_data[i], actual_dense[i]));
}
std::shared_ptr<milvus::ColumnBase> sparse_column;
if (is_test_chunked) {
sparse_column =
cc->Read(sparse_file_name, sparse_field_meta, mmap_enabled);
} else {
sparse_column = cc->Read(
sparse_file_name, descriptor, sparse_field_meta, mmap_enabled);
}
auto actual_sparse =
(const knowhere::sparse::SparseRow<float>*)sparse_column->Data(0);
for (auto i = 0; i < N; i++) {
const auto& actual_sparse_row = actual_sparse[i];
const auto& expect_sparse_row = sparse_data[i];
AssertInfo(actual_sparse_row.size() == expect_sparse_row.size(),
fmt::format(
"Incorrect size of sparse row: expect {}, actual {}",
expect_sparse_row.size(),
actual_sparse_row.size()));
auto bytes = actual_sparse_row.data_byte_size();
AssertInfo(memcmp(actual_sparse_row.data(),
expect_sparse_row.data(),
bytes) == 0,
fmt::format(
"Incorrect data of sparse row: expect {}, actual {}",
expect_sparse_row.data(),
actual_sparse_row.data()));
}
};
std::vector<std::thread> pool;
for (int i = 0; i < threads; ++i) {
pool.emplace_back(executor, i);
}
for (auto& thread : pool) {
thread.join();
}
cc->Remove(dense_file_name);
cc->Remove(sparse_file_name);
lcm->Remove(dense_file_name);
lcm->Remove(sparse_file_name);
}
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