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489087d18b
#32636 Signed-off-by: luzhang <luzhang@zilliz.com> Co-authored-by: luzhang <luzhang@zilliz.com>
115 lines
3.1 KiB
C++
115 lines
3.1 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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#pragma once
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#include <map>
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#include <memory>
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#include <optional>
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#include <string>
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#include <vector>
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#include "Plan.h"
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#include "PlanNode.h"
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#include "common/EasyAssert.h"
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#include "common/Json.h"
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#include "common/Consts.h"
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#include "common/Schema.h"
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namespace milvus::query {
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using Json = nlohmann::json;
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struct ExtractedPlanInfo {
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public:
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explicit ExtractedPlanInfo(int64_t size) : involved_fields_(size) {
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}
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void
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add_involved_field(FieldId field_id) {
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auto pos = field_id.get() - START_USER_FIELDID;
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AssertInfo(pos >= 0, "invalid field id");
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involved_fields_.set(pos);
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}
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public:
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BitsetType involved_fields_;
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};
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struct Plan {
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public:
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explicit Plan(const Schema& schema) : schema_(schema) {
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}
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public:
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const Schema& schema_;
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std::unique_ptr<VectorPlanNode> plan_node_;
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std::map<std::string, FieldId> tag2field_; // PlaceholderName -> FieldId
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std::vector<FieldId> target_entries_;
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std::vector<std::string> target_dynamic_fields_;
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void
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check_identical(Plan& other);
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public:
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std::optional<ExtractedPlanInfo> extra_info_opt_;
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// TODO: add move extra info
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};
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struct Placeholder {
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std::string tag_;
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int64_t num_of_queries_;
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// TODO(SPARSE): add a dim_ field here, use the dim passed in search request
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// instead of the dim in schema, since the dim of sparse float column is
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// dynamic. This change will likely affect lots of code, thus I'll do it in
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// a separate PR, and use dim=0 for sparse float vector searches for now.
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// only one of blob_ and sparse_matrix_ should be set. blob_ is used for
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// dense vector search and sparse_matrix_ is for sparse vector search.
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aligned_vector<char> blob_;
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std::unique_ptr<knowhere::sparse::SparseRow<float>[]> sparse_matrix_;
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const void*
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get_blob() const {
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if (blob_.empty()) {
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return sparse_matrix_.get();
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}
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return blob_.data();
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}
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void*
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get_blob() {
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if (blob_.empty()) {
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return sparse_matrix_.get();
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}
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return blob_.data();
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}
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};
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struct RetrievePlan {
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public:
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explicit RetrievePlan(const Schema& schema) : schema_(schema) {
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}
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public:
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const Schema& schema_;
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std::unique_ptr<RetrievePlanNode> plan_node_;
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std::vector<FieldId> field_ids_;
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std::vector<std::string> target_dynamic_fields_;
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};
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using PlanPtr = std::unique_ptr<Plan>;
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struct PlaceholderGroup : std::vector<Placeholder> {
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using std::vector<Placeholder>::vector;
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};
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} // namespace milvus::query
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