/root/doris/be/src/vec/json/parse2column.cpp
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1 | | // Licensed to the Apache Software Foundation (ASF) under one |
2 | | // or more contributor license agreements. See the NOTICE file |
3 | | // distributed with this work for additional information |
4 | | // regarding copyright ownership. The ASF licenses this file |
5 | | // to you under the Apache License, Version 2.0 (the |
6 | | // "License"); you may not use this file except in compliance |
7 | | // with the License. You may obtain a copy of the License at |
8 | | // |
9 | | // http://www.apache.org/licenses/LICENSE-2.0 |
10 | | // |
11 | | // Unless required by applicable law or agreed to in writing, |
12 | | // software distributed under the License is distributed on an |
13 | | // "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
14 | | // KIND, either express or implied. See the License for the |
15 | | // specific language governing permissions and limitations |
16 | | // under the License. |
17 | | |
18 | | #include "vec/json/parse2column.h" |
19 | | |
20 | | #include <assert.h> |
21 | | #include <fmt/format.h> |
22 | | #include <glog/logging.h> |
23 | | #include <parallel_hashmap/phmap.h> |
24 | | #include <simdjson/simdjson.h> // IWYU pragma: keep |
25 | | #include <stddef.h> |
26 | | |
27 | | #include <algorithm> |
28 | | #include <memory> |
29 | | #include <mutex> |
30 | | #include <optional> |
31 | | #include <ostream> |
32 | | #include <stack> |
33 | | #include <string> |
34 | | #include <string_view> |
35 | | #include <utility> |
36 | | |
37 | | #include "common/config.h" |
38 | | #include "common/status.h" |
39 | | #include "vec/columns/column.h" |
40 | | #include "vec/columns/column_object.h" |
41 | | #include "vec/columns/column_string.h" |
42 | | #include "vec/common/assert_cast.h" |
43 | | #include "vec/common/field_visitors.h" |
44 | | #include "vec/common/schema_util.h" |
45 | | #include "vec/common/string_ref.h" |
46 | | #include "vec/core/field.h" |
47 | | #include "vec/data_types/data_type.h" |
48 | | #include "vec/json/json_parser.h" |
49 | | #include "vec/json/path_in_data.h" |
50 | | #include "vec/json/simd_json_parser.h" |
51 | | |
52 | | namespace doris::vectorized { |
53 | | |
54 | | /** Pool for objects that cannot be used from different threads simultaneously. |
55 | | * Allows to create an object for each thread. |
56 | | * Pool has unbounded size and objects are not destroyed before destruction of pool. |
57 | | * |
58 | | * Use it in cases when thread local storage is not appropriate |
59 | | * (when maximum number of simultaneously used objects is less |
60 | | * than number of running/sleeping threads, that has ever used object, |
61 | | * and creation/destruction of objects is expensive). |
62 | | */ |
63 | | template <typename T> |
64 | | class SimpleObjectPool { |
65 | | protected: |
66 | | /// Hold all available objects in stack. |
67 | | std::mutex mutex; |
68 | | std::stack<std::unique_ptr<T>> stack; |
69 | | /// Specialized deleter for std::unique_ptr. |
70 | | /// Returns underlying pointer back to stack thus reclaiming its ownership. |
71 | | struct Deleter { |
72 | | SimpleObjectPool<T>* parent; |
73 | 0 | Deleter(SimpleObjectPool<T>* parent_ = nullptr) : parent {parent_} {} /// NOLINT |
74 | 0 | void operator()(T* owning_ptr) const { |
75 | 0 | std::lock_guard lock {parent->mutex}; |
76 | 0 | parent->stack.emplace(owning_ptr); |
77 | 0 | } |
78 | | }; |
79 | | |
80 | | public: |
81 | | using Pointer = std::unique_ptr<T, Deleter>; |
82 | | /// Extracts and returns a pointer from the stack if it's not empty, |
83 | | /// creates a new one by calling provided f() otherwise. |
84 | | template <typename Factory> |
85 | 0 | Pointer get(Factory&& f) { |
86 | 0 | std::unique_lock lock(mutex); |
87 | 0 | if (stack.empty()) { |
88 | 0 | return {f(), this}; |
89 | 0 | } |
90 | 0 | auto object = stack.top().release(); |
91 | 0 | stack.pop(); |
92 | 0 | return std::unique_ptr<T, Deleter>(object, Deleter(this)); |
93 | 0 | } |
94 | | /// Like get(), but creates object using default constructor. |
95 | | Pointer getDefault() { |
96 | | return get([] { return new T; }); |
97 | | } |
98 | | }; |
99 | | |
100 | | SimpleObjectPool<JsonParser> parsers_pool; |
101 | | |
102 | | using Node = typename ColumnObject::Subcolumns::Node; |
103 | | /// Visitor that keeps @num_dimensions_to_keep dimensions in arrays |
104 | | /// and replaces all scalars or nested arrays to @replacement at that level. |
105 | | class FieldVisitorReplaceScalars : public StaticVisitor<Field> { |
106 | | public: |
107 | | FieldVisitorReplaceScalars(const Field& replacement_, size_t num_dimensions_to_keep_) |
108 | 0 | : replacement(replacement_), num_dimensions_to_keep(num_dimensions_to_keep_) {} |
109 | | template <typename T> |
110 | | Field operator()(const T& x) const { |
111 | | if constexpr (std::is_same_v<T, Array>) { |
112 | | if (num_dimensions_to_keep == 0) { |
113 | | return replacement; |
114 | | } |
115 | | const size_t size = x.size(); |
116 | | Array res(size); |
117 | | for (size_t i = 0; i < size; ++i) { |
118 | | res[i] = apply_visitor( |
119 | | FieldVisitorReplaceScalars(replacement, num_dimensions_to_keep - 1), x[i]); |
120 | | } |
121 | | return res; |
122 | | } else { |
123 | | return replacement; |
124 | | } |
125 | | } |
126 | | |
127 | | private: |
128 | | const Field& replacement; |
129 | | size_t num_dimensions_to_keep; |
130 | | }; |
131 | | |
132 | | template <typename ParserImpl> |
133 | | void parse_json_to_variant(IColumn& column, const char* src, size_t length, |
134 | 0 | JSONDataParser<ParserImpl>* parser, const ParseConfig& config) { |
135 | 0 | auto& column_object = assert_cast<ColumnObject&>(column); |
136 | 0 | std::optional<ParseResult> result; |
137 | | /// Treat empty string as an empty object |
138 | | /// for better CAST from String to Object. |
139 | 0 | if (length > 0) { |
140 | 0 | result = parser->parse(src, length, config); |
141 | 0 | } else { |
142 | 0 | result = ParseResult {}; |
143 | 0 | } |
144 | 0 | if (!result) { |
145 | 0 | VLOG_DEBUG << "failed to parse " << std::string_view(src, length) << ", length= " << length; |
146 | 0 | if (config::variant_throw_exeception_on_invalid_json) { |
147 | 0 | throw doris::Exception(ErrorCode::INVALID_ARGUMENT, "Failed to parse object {}", |
148 | 0 | std::string_view(src, length)); |
149 | 0 | } |
150 | | // Treat as string |
151 | 0 | PathInData root_path; |
152 | 0 | Field field(String(src, length)); |
153 | 0 | result = ParseResult {{root_path}, {field}}; |
154 | 0 | } |
155 | 0 | auto& [paths, values] = *result; |
156 | 0 | assert(paths.size() == values.size()); |
157 | 0 | size_t old_num_rows = column_object.size(); |
158 | 0 | for (size_t i = 0; i < paths.size(); ++i) { |
159 | 0 | FieldInfo field_info; |
160 | 0 | get_field_info(values[i], &field_info); |
161 | 0 | if (WhichDataType(field_info.scalar_type_id).is_nothing()) { |
162 | 0 | continue; |
163 | 0 | } |
164 | 0 | if (column_object.get_subcolumn(paths[i], i) == nullptr) { |
165 | 0 | if (paths[i].has_nested_part()) { |
166 | 0 | column_object.add_nested_subcolumn(paths[i], field_info, old_num_rows); |
167 | 0 | } else { |
168 | 0 | column_object.add_sub_column(paths[i], old_num_rows); |
169 | 0 | } |
170 | 0 | } |
171 | 0 | auto* subcolumn = column_object.get_subcolumn(paths[i], i); |
172 | 0 | if (!subcolumn) { |
173 | 0 | throw doris::Exception(ErrorCode::INVALID_ARGUMENT, "Failed to find sub column {}", |
174 | 0 | paths[i].get_path()); |
175 | 0 | } |
176 | 0 | if (subcolumn->size() != old_num_rows) { |
177 | 0 | throw doris::Exception(ErrorCode::INVALID_ARGUMENT, |
178 | 0 | "subcolumn {} size missmatched, may contains duplicated entry", |
179 | 0 | paths[i].get_path()); |
180 | 0 | } |
181 | 0 | subcolumn->insert(std::move(values[i]), std::move(field_info)); |
182 | 0 | } |
183 | | // /// Insert default values to missed subcolumns. |
184 | 0 | const auto& subcolumns = column_object.get_subcolumns(); |
185 | 0 | for (const auto& entry : subcolumns) { |
186 | 0 | if (entry->data.size() == old_num_rows) { |
187 | 0 | bool inserted = column_object.try_insert_default_from_nested(entry); |
188 | 0 | if (!inserted) { |
189 | 0 | entry->data.insert_default(); |
190 | 0 | } |
191 | 0 | } |
192 | 0 | } |
193 | 0 | column_object.incr_num_rows(); |
194 | 0 | } |
195 | | |
196 | | // exposed interfaces |
197 | | void parse_json_to_variant(IColumn& column, const StringRef& json, JsonParser* parser, |
198 | 0 | const ParseConfig& config) { |
199 | 0 | return parse_json_to_variant(column, json.data, json.size, parser, config); |
200 | 0 | } |
201 | | |
202 | | void parse_json_to_variant(IColumn& column, const ColumnString& raw_json_column, |
203 | 0 | const ParseConfig& config) { |
204 | 0 | auto parser = parsers_pool.get([] { return new JsonParser(); }); |
205 | 0 | for (size_t i = 0; i < raw_json_column.size(); ++i) { |
206 | 0 | StringRef raw_json = raw_json_column.get_data_at(i); |
207 | 0 | parse_json_to_variant(column, raw_json.data, raw_json.size, parser.get(), config); |
208 | 0 | } |
209 | 0 | } |
210 | | |
211 | | } // namespace doris::vectorized |