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Former-commit-id: 0b15e2302d0bec551b1215285ff86b5f6cdf71de
This commit is contained in:
zhiru 2019-07-01 19:40:28 +08:00
commit b2cdb9e96d
2 changed files with 0 additions and 148 deletions
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140
cpp/src/db/DBImpl.cpp
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@ -158,10 +158,6 @@ Status DBImpl::Query(const std::string &table_id, uint64_t k, uint64_t nq,
Status DBImpl::Query(const std::string& table_id, uint64_t k, uint64_t nq,
const float* vectors, const meta::DatesT& dates, QueryResults& results) {
#if 0
return QuerySync(table_id, k, nq, vectors, dates, results);
#else
//get all table files from table
meta::DatePartionedTableFilesSchema files;
auto status = meta_ptr_->FilesToSearch(table_id, dates, files);
@ -175,7 +171,6 @@ Status DBImpl::Query(const std::string& table_id, uint64_t k, uint64_t nq,
}
return QueryAsync(table_id, file_id_array, k, nq, vectors, dates, results);
#endif
}
Status DBImpl::Query(const std::string& table_id, const std::vector<std::string>& file_ids,
@ -203,141 +198,6 @@ Status DBImpl::Query(const std::string& table_id, const std::vector<std::string>
return QueryAsync(table_id, files_array, k, nq, vectors, dates, results);
}
Status DBImpl::QuerySync(const std::string& table_id, uint64_t k, uint64_t nq,
const float* vectors, const meta::DatesT& dates, QueryResults& results) {
meta::DatePartionedTableFilesSchema files;
auto status = meta_ptr_->FilesToSearch(table_id, dates, files);
if (!status.ok()) { return status; }
ENGINE_LOG_DEBUG << "Search DateT Size = " << files.size();
meta::TableFilesSchema index_files;
meta::TableFilesSchema raw_files;
for (auto &day_files : files) {
for (auto &file : day_files.second) {
file.file_type_ == meta::TableFileSchema::INDEX ?
index_files.push_back(file) : raw_files.push_back(file);
}
}
int dim = 0;
if (!index_files.empty()) {
dim = index_files[0].dimension_;
} else if (!raw_files.empty()) {
dim = raw_files[0].dimension_;
} else {
ENGINE_LOG_DEBUG << "no files to search";
return Status::OK();
}
{
// [{ids, distence}, ...]
using SearchResult = std::pair<std::vector<long>, std::vector<float>>;
std::vector<SearchResult> batchresult(nq); // allocate nq cells.
auto cluster = [&](long *nns, float *dis, const int& k) -> void {
for (int i = 0; i < nq; ++i) {
auto f_begin = batchresult[i].first.cbegin();
auto s_begin = batchresult[i].second.cbegin();
batchresult[i].first.insert(f_begin, nns + i * k, nns + i * k + k);
batchresult[i].second.insert(s_begin, dis + i * k, dis + i * k + k);
}
};
// Allocate Memory
float *output_distence;
long *output_ids;
output_distence = (float *) malloc(k * nq * sizeof(float));
output_ids = (long *) malloc(k * nq * sizeof(long));
memset(output_distence, 0, k * nq * sizeof(float));
memset(output_ids, 0, k * nq * sizeof(long));
long search_set_size = 0;
auto search_in_index = [&](meta::TableFilesSchema& file_vec) -> void {
for (auto &file : file_vec) {
ExecutionEnginePtr index = EngineFactory::Build(file.dimension_, file.location_, (EngineType)file.engine_type_);
index->Load();
auto file_size = index->PhysicalSize();
search_set_size += file_size;
ENGINE_LOG_DEBUG << "Search file_type " << file.file_type_ << " Of Size: "
<< file_size/(1024*1024) << " M";
int inner_k = index->Count() < k ? index->Count() : k;
auto start_time = METRICS_NOW_TIME;
index->Search(nq, vectors, inner_k, output_distence, output_ids);
auto end_time = METRICS_NOW_TIME;
auto total_time = METRICS_MICROSECONDS(start_time, end_time);
CollectFileMetrics(file.file_type_, file_size, total_time);
cluster(output_ids, output_distence, inner_k); // cluster to each query
memset(output_distence, 0, k * nq * sizeof(float));
memset(output_ids, 0, k * nq * sizeof(long));
}
};
auto topk_cpu = [](const std::vector<float> &input_data,
const int &k,
float *output_distence,
long *output_ids) -> void {
std::map<float, std::vector<int>> inverted_table;
for (int i = 0; i < input_data.size(); ++i) {
if (inverted_table.count(input_data[i]) == 1) {
auto& ori_vec = inverted_table[input_data[i]];
ori_vec.push_back(i);
}
else {
inverted_table[input_data[i]] = std::vector<int>{i};
}
}
int count = 0;
for (auto &item : inverted_table){
if (count == k) break;
for (auto &id : item.second){
output_distence[count] = item.first;
output_ids[count] = id;
if (++count == k) break;
}
}
};
auto cluster_topk = [&]() -> void {
QueryResult res;
for (auto &result_pair : batchresult) {
auto &dis = result_pair.second;
auto &nns = result_pair.first;
topk_cpu(dis, k, output_distence, output_ids);
int inner_k = dis.size() < k ? dis.size() : k;
for (int i = 0; i < inner_k; ++i) {
res.emplace_back(std::make_pair(nns[output_ids[i]], output_distence[i])); // mapping
}
results.push_back(res); // append to result list
res.clear();
memset(output_distence, 0, k * nq * sizeof(float));
memset(output_ids, 0, k * nq * sizeof(long));
}
};
search_in_index(raw_files);
search_in_index(index_files);
ENGINE_LOG_DEBUG << "Search Overall Set Size = " << search_set_size << " M";
cluster_topk();
free(output_distence);
free(output_ids);
}
if (results.empty()) {
return Status::NotFound("Group " + table_id + ", search result not found!");
}
return Status::OK();
}
Status DBImpl::QueryAsync(const std::string& table_id, const meta::TableFilesSchema& files,
uint64_t k, uint64_t nq, const float* vectors,
const meta::DatesT& dates, QueryResults& results) {

8
cpp/src/db/DBImpl.h
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@ -85,14 +85,6 @@ class DBImpl : public DB {
~DBImpl() override;
private:
Status
QuerySync(const std::string &table_id,
uint64_t k,
uint64_t nq,
const float *vectors,
const meta::DatesT &dates,
QueryResults &results);
Status
QueryAsync(const std::string &table_id,
const meta::TableFilesSchema &files,