lidavidm commented on a change in pull request #12484:
URL: https://github.com/apache/arrow/pull/12484#discussion_r826909260
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File path: cpp/src/arrow/compute/kernels/hash_aggregate.cc
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@@ -2758,6 +2773,438 @@ struct GroupedOneFactory {
InputType argument_type;
};
+// ----------------------------------------------------------------------
+// List implementation
+
+template <typename Type, typename Enable = void>
+struct GroupedListImpl final : public GroupedAggregator {
+ using CType = typename TypeTraits<Type>::CType;
+ using GetSet = GroupedValueTraits<Type>;
+
+ Status Init(ExecContext* ctx, const std::vector<ValueDescr>&,
+ const FunctionOptions* options) override {
+ ctx_ = ctx;
+ has_nulls_ = false;
+ // out_type_ initialized by GroupedListInit
+ values_ = TypedBufferBuilder<CType>(ctx_->memory_pool());
+ groups_ = TypedBufferBuilder<uint32_t>(ctx_->memory_pool());
+ values_bitmap_ = TypedBufferBuilder<bool>(ctx_->memory_pool());
+ return Status::OK();
+ }
+
+ Status Resize(int64_t new_num_groups) override {
+ num_groups_ = new_num_groups;
+ return Status::OK();
+ }
+
+ Status Consume(const ExecBatch& batch) override {
+ const auto values_array_data = batch[0].array();
+ int64_t num_values = values_array_data->length;
+
+ const auto groups_array_data = batch[1].array();
+ DCHECK_EQ(groups_array_data->offset, 0);
+ const auto* groups = groups_array_data->GetValues<uint32_t>(1, 0);
+ RETURN_NOT_OK(groups_.Append(groups, num_values));
+
+ int64_t offset = values_array_data->offset;
+ const uint8_t* values = values_array_data->buffers[1]->data();
+ RETURN_NOT_OK(GetSet::AppendBuffers(&values_, values, offset, num_values));
+ // RETURN_NOT_OK(values_.Resize(num_args_ + num_values));
+ // CopyDataUtils<Type>::CopyData(*batch[0].type(), *values_array_data,
offset,
+ //
values_.bytes_builder()->mutable_data(),
+ // values_.length(), num_values);
+ // values_.bytes_builder()->UnsafeAdvance(num_values * sizeof(CType));
+
+ if (batch[0].null_count() > 0) {
+ if (!has_nulls_) {
+ has_nulls_ = true;
+ RETURN_NOT_OK(values_bitmap_.Append(num_args_, true));
+ }
+ const uint8_t* values_bitmap = values_array_data->buffers[0]->data();
+ RETURN_NOT_OK(GroupedValueTraits<BooleanType>::AppendBuffers(
+ &values_bitmap_, values_bitmap, offset, num_values));
+ } else if (has_nulls_) {
+ RETURN_NOT_OK(values_bitmap_.Append(num_values, true));
+ }
+ num_args_ += num_values;
+ return Status::OK();
+ }
+
+ Status Merge(GroupedAggregator&& raw_other,
+ const ArrayData& group_id_mapping) override {
+ auto other = checked_cast<GroupedListImpl*>(&raw_other);
+ const auto* other_raw_groups = other->groups_.data();
+ const auto* g = group_id_mapping.GetValues<uint32_t>(1);
+
+ for (uint32_t other_g = 0; static_cast<int64_t>(other_g) <
other->num_args_;
+ ++other_g) {
+ RETURN_NOT_OK(groups_.Append(g[other_raw_groups[other_g]]));
+ }
+
+ const uint8_t* values = reinterpret_cast<const
uint8_t*>(other->values_.data());
+ RETURN_NOT_OK(GetSet::AppendBuffers(&values_, values, 0,
other->num_args_));
+
+ if (other->has_nulls_) {
+ if (!has_nulls_) {
+ has_nulls_ = true;
+ RETURN_NOT_OK(values_bitmap_.Append(num_args_, true));
+ }
+ const uint8_t* values_bitmap = other->values_bitmap_.data();
+ RETURN_NOT_OK(GroupedValueTraits<BooleanType>::AppendBuffers(
+ &values_bitmap_, values_bitmap, 0, other->num_args_));
+ } else if (has_nulls_) {
+ RETURN_NOT_OK(values_bitmap_.Append(other->num_args_, true));
+ }
+ num_args_ += other->num_args_;
+ return Status::OK();
+ }
+
+ Result<Datum> Finalize() override {
+ ARROW_ASSIGN_OR_RAISE(auto values_buffer, values_.Finish());
+ ARROW_ASSIGN_OR_RAISE(auto groups_buffer, groups_.Finish());
+ ARROW_ASSIGN_OR_RAISE(auto null_bitmap_buffer, values_bitmap_.Finish());
+
+ auto groups = UInt32Array(num_args_, groups_buffer);
+ ARROW_ASSIGN_OR_RAISE(
+ auto groupings,
+ Grouper::MakeGroupings(groups, static_cast<uint32_t>(num_groups_),
ctx_));
+
+ auto values_array_data = ArrayData::Make(
+ out_type_, num_args_,
+ {has_nulls_ ? std::move(null_bitmap_buffer) : nullptr,
std::move(values_buffer)});
+ auto values = MakeArray(values_array_data);
+ return Grouper::ApplyGroupings(*groupings, *values);
+ }
+
+ std::shared_ptr<DataType> out_type() const override { return
list(out_type_); }
+
+ ExecContext* ctx_;
+ int64_t num_groups_, num_args_ = 0;
+ bool has_nulls_ = false;
+ TypedBufferBuilder<CType> values_;
+ TypedBufferBuilder<uint32_t> groups_;
+ TypedBufferBuilder<bool> values_bitmap_;
+ std::shared_ptr<DataType> out_type_;
+};
+
+template <typename Type>
+struct GroupedListImpl<Type, enable_if_t<is_base_binary_type<Type>::value ||
+ std::is_same<Type,
FixedSizeBinaryType>::value>>
+ final : public GroupedAggregator {
+ using Allocator = arrow::stl::allocator<char>;
+ using StringType = std::basic_string<char, std::char_traits<char>,
Allocator>;
+ using GetSet = GroupedValueTraits<Type>;
+
+ Status Init(ExecContext* ctx, const std::vector<ValueDescr>&,
+ const FunctionOptions* options) override {
+ ctx_ = ctx;
+ allocator_ = Allocator(ctx_->memory_pool());
+ // out_type_ initialized by GroupedListInit
+ groups_ = TypedBufferBuilder<uint32_t>(ctx_->memory_pool());
+ values_bitmap_ = TypedBufferBuilder<bool>(ctx_->memory_pool());
+ return Status::OK();
+ }
+
+ Status Resize(int64_t new_num_groups) override {
+ num_groups_ = new_num_groups;
+ return Status::OK();
+ }
+
+ Status Consume(const ExecBatch& batch) override {
+ const auto values_array_data = batch[0].array();
+ int64_t num_values = values_array_data->length;
+ int64_t offset = values_array_data->offset;
+
+ const auto groups_array_data = batch[1].array();
+ DCHECK_EQ(groups_array_data->offset, 0);
+ const auto* groups = groups_array_data->GetValues<uint32_t>(1, 0);
+ RETURN_NOT_OK(groups_.Append(groups, num_values));
+
+ if (batch[0].null_count() == 0) {
+ RETURN_NOT_OK(values_bitmap_.Append(num_values, true));
+ } else {
+ const uint8_t* values_bitmap = values_array_data->buffers[0]->data();
+ RETURN_NOT_OK(GroupedValueTraits<BooleanType>::AppendBuffers(
+ &values_bitmap_, values_bitmap, offset, num_values));
+ }
+ return AppendBuffers<Type>(batch);
+ }
+
+ template <typename T = Type>
+ enable_if_t<is_base_binary_type<T>::value, Status> AppendBuffers(
Review comment:
Everything would work on a `TypedBufferBuilder<uint8_t>`, and would work
like CopyData, yes. But I think let's just clean this up since it works
already. We can file a separate Jira if you'd like to keep looking at
optimizations (I think this would be faster for Decimal/FixedSizeBinary but we
should have benchmarks to be sure)
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