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
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
|
// Licensed to the Apache Software Foundation (ASF) 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 "contrib/libs/apache/arrow_next/cpp/src/arrow/compute/api_aggregate.h"
#include "contrib/libs/apache/arrow_next/cpp/src/arrow/compute/kernels/aggregate_internal.h"
#include "contrib/libs/apache/arrow_next/cpp/src/arrow/compute/kernels/common_internal.h"
#include "contrib/libs/apache/arrow_next/cpp/src/arrow/compute/kernels/pivot_internal.h"
#include "contrib/libs/apache/arrow_next/cpp/src/arrow/scalar.h"
#include "contrib/libs/apache/arrow_next/cpp/src/arrow/util/bit_run_reader.h"
#include "contrib/libs/apache/arrow_next/cpp/src/arrow/util/logging.h"
#include "contrib/libs/apache/arrow_next/cpp/src/arrow/visit_data_inline.h"
namespace arrow20::compute::internal {
namespace {
using arrow20::internal::VisitSetBitRunsVoid;
using arrow20::util::span;
struct PivotImpl : public ScalarAggregator {
Status Init(const PivotWiderOptions& options, const std::vector<TypeHolder>& in_types,
ExecContext* ctx) {
options_ = &options;
key_type_ = in_types[0].GetSharedPtr();
auto value_type = in_types[1].GetSharedPtr();
FieldVector fields;
fields.reserve(options_->key_names.size());
values_.reserve(options_->key_names.size());
for (const auto& key_name : options_->key_names) {
fields.push_back(field(key_name, value_type));
values_.push_back(MakeNullScalar(value_type));
}
out_type_ = struct_(std::move(fields));
ARROW_ASSIGN_OR_RAISE(key_mapper_,
PivotWiderKeyMapper::Make(*key_type_, options_, ctx));
return Status::OK();
}
Status Consume(KernelContext*, const ExecSpan& batch) override {
DCHECK_EQ(batch.num_values(), 2);
if (batch[0].is_array()) {
ARROW_ASSIGN_OR_RAISE(auto keys_array, key_mapper_->MapKeys(batch[0].array));
DCHECK_EQ(keys_array->type->id(), Type::UINT32);
ArraySpan keys_span(*keys_array);
if (batch[1].is_array()) {
// Array keys, array values
auto values = batch[1].array.ToArray();
int64_t i = 0;
RETURN_NOT_OK(VisitArraySpanInline<UInt32Type>(
keys_span,
[&](uint32_t key) {
if (!values->IsNull(i)) {
if (ARROW_PREDICT_FALSE(values_[key]->is_valid)) {
return DuplicateValue();
}
ARROW_ASSIGN_OR_RAISE(values_[key], values->GetScalar(i));
}
++i;
return Status::OK();
},
[&]() {
++i;
return Status::OK();
}));
} else {
// Array keys, scalar value
const Scalar* value = batch[1].scalar;
if (value->is_valid) {
RETURN_NOT_OK(VisitArraySpanInline<UInt32Type>(
keys_span,
[&](uint32_t key) {
if (ARROW_PREDICT_FALSE(values_[key]->is_valid)) {
return DuplicateValue();
}
values_[key] = value->GetSharedPtr();
return Status::OK();
},
[] { return Status::OK(); }));
}
}
} else {
ARROW_ASSIGN_OR_RAISE(auto maybe_key, key_mapper_->MapKey(*batch[0].scalar));
if (maybe_key.has_value()) {
PivotWiderKeyIndex key = maybe_key.value();
if (batch[1].is_array()) {
// Scalar key, array values
auto values = batch[1].array.ToArray();
for (int64_t i = 0; i < batch.length; ++i) {
if (!values->IsNull(i)) {
if (ARROW_PREDICT_FALSE(values_[key]->is_valid)) {
return DuplicateValue();
}
ARROW_ASSIGN_OR_RAISE(values_[key], values->GetScalar(i));
DCHECK(values_[key]->is_valid);
}
}
} else {
// Scalar key, scalar value
const Scalar* value = batch[1].scalar;
if (value->is_valid) {
if (batch.length > 1 || values_[key]->is_valid) {
return DuplicateValue();
}
values_[key] = value->GetSharedPtr();
}
}
}
}
return Status::OK();
}
Status MergeFrom(KernelContext*, KernelState&& src) override {
const auto& other_state = checked_cast<const PivotImpl&>(src);
for (int64_t key = 0; key < static_cast<int64_t>(values_.size()); ++key) {
if (other_state.values_[key]->is_valid) {
if (ARROW_PREDICT_FALSE(values_[key]->is_valid)) {
return DuplicateValue();
}
values_[key] = other_state.values_[key];
}
}
return Status::OK();
}
Status Finalize(KernelContext* ctx, Datum* out) override {
*out = std::make_shared<StructScalar>(std::move(values_), out_type_);
return Status::OK();
}
Status DuplicateValue() {
return Status::Invalid(
"Encountered more than one non-null value for the same pivot key");
}
std::shared_ptr<DataType> out_type() const { return out_type_; }
std::shared_ptr<DataType> key_type_;
std::shared_ptr<DataType> out_type_;
const PivotWiderOptions* options_;
std::unique_ptr<PivotWiderKeyMapper> key_mapper_;
ScalarVector values_;
};
Result<std::unique_ptr<KernelState>> PivotInit(KernelContext* ctx,
const KernelInitArgs& args) {
const auto& options = checked_cast<const PivotWiderOptions&>(*args.options);
auto state = std::make_unique<PivotImpl>();
RETURN_NOT_OK(state->Init(options, args.inputs, ctx->exec_context()));
// GH-45718: This can be simplified once we drop the R openSUSE155 crossbow
// job
// R build with openSUSE155 requires an explicit shared_ptr construction
return std::unique_ptr<KernelState>(std::move(state));
}
Result<TypeHolder> ResolveOutputType(KernelContext* ctx, const std::vector<TypeHolder>&) {
return checked_cast<PivotImpl*>(ctx->state())->out_type();
}
const FunctionDoc pivot_doc{
"Pivot values according to a pivot key column",
("Output is a struct with as many fields as `PivotWiderOptions.key_names`.\n"
"All output struct fields have the same type as `pivot_values`.\n"
"Each pivot key decides in which output field the corresponding pivot value\n"
"is emitted. If a pivot key doesn't appear, null is emitted.\n"
"If more than one non-null value is encountered for a given pivot key,\n"
"Invalid is raised.\n"
"The pivot key column can be string, binary or integer. The `key_names`\n"
"will be cast to the pivot key column type for matching.\n"
"Behavior of unexpected pivot keys is controlled by `unexpected_key_behavior`\n"
"in PivotWiderOptions."),
{"pivot_keys", "pivot_values"},
"PivotWiderOptions"};
} // namespace
void RegisterScalarAggregatePivot(FunctionRegistry* registry) {
static auto default_pivot_options = PivotWiderOptions::Defaults();
auto func = std::make_shared<ScalarAggregateFunction>(
"pivot_wider", Arity::Binary(), pivot_doc, &default_pivot_options);
auto add_kernel = [&](InputType key_type) {
auto sig = KernelSignature::Make({key_type, InputType::Any()},
OutputType(ResolveOutputType));
AddAggKernel(std::move(sig), PivotInit, func.get());
};
for (const auto& key_type : BaseBinaryTypes()) {
add_kernel(key_type->id());
}
for (const auto& key_type : IntTypes()) {
add_kernel(key_type->id());
}
add_kernel(Type::FIXED_SIZE_BINARY);
DCHECK_OK(registry->AddFunction(std::move(func)));
}
} // namespace arrow20::compute::internal
|
