blob: fad9cc7a252adad087f257586ca49f1ee1b9195f (
plain) (
blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
|
// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include "schema_builder.h"
#include "doc_builder.h"
#include <vespa/document/datatype/collectiondatatype.h>
#include <vespa/document/datatype/documenttype.h>
#include <vespa/document/datatype/tensor_data_type.h>
#include <vespa/searchcommon/common/schema.h>
#include <cassert>
using document::DataType;
using search::index::Schema;
namespace search::test {
namespace
{
search::index::schema::DataType
get_data_type(const DataType& type)
{
using SrcType = DataType::Type;
using DstType = search::index::schema::DataType;
switch (type.getId()) {
case SrcType::T_INT:
return DstType::INT32;
case SrcType::T_FLOAT:
return DstType::FLOAT;
case SrcType::T_STRING:
return DstType::STRING;
case SrcType::T_RAW:
return DstType::RAW;
case SrcType::T_LONG:
return DstType::INT64;
case SrcType::T_DOUBLE:
return DstType::DOUBLE;
case SrcType::T_BOOL:
return DstType::BOOL;
case SrcType::T_URI:
return DstType::STRING;
case SrcType::T_BYTE:
return DstType::INT8;
case SrcType::T_SHORT:
return DstType::INT16;
case SrcType::T_PREDICATE:
return DstType::BOOLEANTREE;
case SrcType::T_TENSOR:
return DstType::TENSOR;
default:
abort();
}
}
const DataType&
get_nested_type(const DataType& type)
{
if (type.isArray() || type.isWeightedSet()) {
return type.cast_collection()->getNestedType();
}
return type;
}
search::index::schema::CollectionType
get_collection_type(const document::DataType& type)
{
using DstType = search::index::schema::CollectionType;
if (type.isArray()) {
return DstType::ARRAY;
}
if (type.isWeightedSet()) {
return DstType::WEIGHTEDSET;
}
assert(!type.isMap());
return DstType::SINGLE;
}
}
SchemaBuilder::SchemaBuilder(const DocBuilder& doc_builder)
: _doc_builder(doc_builder),
_schema(std::make_unique<Schema>())
{
}
SchemaBuilder::~SchemaBuilder() = default;
void
SchemaBuilder::add_index(vespalib::stringref field_name, std::optional<bool> interleaved_features)
{
auto& field = _doc_builder.get_document_type().getField(field_name);
auto ct = get_collection_type(field.getDataType());
auto& type = get_nested_type(field.getDataType());
auto dt = get_data_type(type);
assert(dt == search::index::schema::DataType::STRING);
Schema::IndexField index_field(field_name, dt, ct);
if (interleaved_features.has_value()) {
index_field.set_interleaved_features(interleaved_features.value());
}
if (type.getId() == DataType::Type::T_URI) {
_schema->addUriIndexFields(index_field);
} else {
_schema->addIndexField(index_field);
}
}
SchemaBuilder&
SchemaBuilder::add_indexes(std::vector<vespalib::stringref> field_names, std::optional<bool> interleaved_features)
{
for (auto& field_name : field_names) {
add_index(field_name, interleaved_features);
}
return *this;
}
SchemaBuilder&
SchemaBuilder::add_all_indexes(std::optional<bool> interleaved_features)
{
auto fields = _doc_builder.get_document_type().getFieldSet();
for (auto field : fields) {
auto& type = get_nested_type(field->getDataType());
auto dt = get_data_type(type);
if (dt == search::index::schema::DataType::STRING) {
add_index(field->getName(), interleaved_features);
}
}
return *this;
}
void
SchemaBuilder::add_attribute(vespalib::stringref field_name)
{
auto& field = _doc_builder.get_document_type().getField(field_name);
auto ct = get_collection_type(field.getDataType());
auto& type = get_nested_type(field.getDataType());
auto dt = get_data_type(type);
vespalib::string tensor_type_spec;
assert(type.getId() != DataType::Type::T_URI);
if (type.getId() == DataType::Type::T_TENSOR) {
assert(ct == search::index::schema::CollectionType::SINGLE);
tensor_type_spec = type.cast_tensor()->getTensorType().to_spec();
}
Schema::AttributeField attribute_field(field_name, dt, ct, tensor_type_spec);
_schema->addAttributeField(attribute_field);
}
SchemaBuilder&
SchemaBuilder::add_attributes(std::vector<vespalib::stringref> field_names)
{
for (auto& field_name : field_names) {
add_attribute(field_name);
}
return *this;
}
SchemaBuilder&
SchemaBuilder::add_all_attributes()
{
auto fields = _doc_builder.get_document_type().getFieldSet();
for (auto field : fields) {
auto& type = get_nested_type(field->getDataType());
if (type.getId() != DataType::T_URI) {
add_attribute(field->getName());
}
}
return *this;
}
search::index::Schema
SchemaBuilder::build()
{
return std::move(*_schema);
}
}
|
