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97 changes: 84 additions & 13 deletions cpp/src/arrow/compute/kernels/vector_selection.cc
Original file line number Diff line number Diff line change
Expand Up @@ -27,6 +27,7 @@
#include "arrow/array/array_nested.h"
#include "arrow/array/builder_primitive.h"
#include "arrow/array/concatenate.h"
#include "arrow/array/util.h"
#include "arrow/buffer_builder.h"
#include "arrow/chunked_array.h"
#include "arrow/compute/api_vector.h"
Expand All @@ -40,13 +41,15 @@
#include "arrow/result.h"
#include "arrow/table.h"
#include "arrow/type.h"
#include "arrow/type_traits.h"
#include "arrow/util/bit_block_counter.h"
#include "arrow/util/bit_run_reader.h"
#include "arrow/util/bit_util.h"
#include "arrow/util/bitmap_ops.h"
#include "arrow/util/bitmap_reader.h"
#include "arrow/util/int_util.h"
#include "arrow/util/logging_internal.h"
#include "arrow/util/union_util.h"

namespace arrow {

Expand All @@ -70,33 +73,91 @@ using TakeState = OptionsWrapper<TakeOptions>;
// ----------------------------------------------------------------------
// DropNull Implementation

std::shared_ptr<arrow::BooleanArray> MakeDropNullFilter(const Array& values) {
int64_t DropNullCount(const Array& values) {
if (is_union(values.type_id())) {
return values.data()->MayHaveLogicalNulls() ? values.ComputeLogicalNullCount() : 0;
}
return values.null_count();
}

bool HasExtensionType(const DataType& type) {
if (type.id() == Type::EXTENSION) {
return true;
}
if (type.id() == Type::RUN_END_ENCODED) {
// Keep the existing run-end encoded empty-array path unchanged.
return false;
}
if (type.id() == Type::DICTIONARY) {
const auto& dictionary_type = checked_cast<const DictionaryType&>(type);
return HasExtensionType(*dictionary_type.value_type());
}
for (const auto& field : type.fields()) {
if (HasExtensionType(*field->type())) {
return true;
}
}
return false;
}

Result<std::shared_ptr<Array>> MakeDropNullEmptyArray(
const std::shared_ptr<DataType>& type, ExecContext* ctx) {
if (is_union(type->id()) || HasExtensionType(*type)) {
// Unlike MakeEmptyArray, this doesn't require builders for extension children.
return MakeArrayOfNull(type, 0, ctx->memory_pool());
}
return MakeEmptyArray(type, ctx->memory_pool());
}

Result<std::shared_ptr<BooleanArray>> MakeDropNullFilter(const Array& values,
ExecContext* ctx) {
if (is_union(values.type_id())) {
ARROW_ASSIGN_OR_RAISE(auto validity,
AllocateEmptyBitmap(values.length(), ctx->memory_pool()));
const ArraySpan span(*values.data());
if (values.type_id() == Type::SPARSE_UNION) {
union_util::SetLogicalNullBitsSparse(span, validity->mutable_data(), 0,
/*set_on_null=*/false);
} else {
union_util::SetLogicalNullBitsDense(span, validity->mutable_data(), 0,
/*set_on_null=*/false);
}
return std::make_shared<BooleanArray>(values.length(), std::move(validity));
}
auto& bitmap_buffer = values.null_bitmap();
return std::make_shared<BooleanArray>(values.length(), bitmap_buffer, nullptr, 0,
values.offset());
}

Result<Datum> DropNullArray(const std::shared_ptr<Array>& values, ExecContext* ctx) {
if (values->null_count() == 0) {
const auto null_count = DropNullCount(*values);
if (null_count == 0) {
return values;
}
if (values->null_count() == values->length()) {
return MakeEmptyArray(values->type(), ctx->memory_pool());
if (null_count == values->length()) {

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Scenario: all values are null and the union has a bool8 extension child. MakeEmptyArray fails because it needs a builder for the extension, no? Same for chunked path.

Can we cover both dense and sparse unions with extension children?

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Confirmed: the new bool8-child regression fails on the initial PR head with MakeBuilder: cannot construct builder for type extension<arrow.bool8>.

The same follow-up commit uses MakeArrayOfNull(type, 0) for empty unions across the array, chunked-array and record-batch paths; the table path uses the corrected batch handling. This avoids extension builders and retaining input buffers, while preserving the existing empty construction for non-union types.

Added dense/sparse coverage for all-null Array, ChunkedArray, RecordBatch and Table inputs, plus mixed values, slices and chunking. The full selection suite passes: 171 tests, one existing disabled test.

return MakeDropNullEmptyArray(values->type(), ctx);
}
if (values->type()->id() == Type::type::NA) {
return std::make_shared<NullArray>(0);
}
auto drop_null_filter = Datum{MakeDropNullFilter(*values)};
return Filter(values, drop_null_filter, FilterOptions::Defaults(), ctx);
ARROW_ASSIGN_OR_RAISE(auto drop_null_filter, MakeDropNullFilter(*values, ctx));
return Filter(values, Datum(drop_null_filter), FilterOptions::Defaults(), ctx);
}

Result<Datum> DropNullChunkedArray(const std::shared_ptr<ChunkedArray>& values,
ExecContext* ctx) {
if (values->null_count() == 0) {
auto null_count = values->null_count();
if (is_union(values->type()->id())) {
for (const auto& chunk : values->chunks()) {
null_count += DropNullCount(*chunk);
}
}
if (null_count == 0) {
return values;
}
if (values->null_count() == values->length()) {
return ChunkedArray::MakeEmpty(values->type(), ctx->memory_pool());
if (null_count == values->length()) {
ARROW_ASSIGN_OR_RAISE(auto empty, MakeDropNullEmptyArray(values->type(), ctx));
return std::make_shared<ChunkedArray>(std::move(empty));
}
std::vector<std::shared_ptr<Array>> new_chunks;
for (const auto& chunk : values->chunks()) {
Expand All @@ -113,7 +174,7 @@ Result<Datum> DropNullRecordBatch(const std::shared_ptr<RecordBatch>& batch,
// Compute an upper bound of the final null count
int64_t null_count = 0;
for (const auto& column : batch->columns()) {
null_count += column->null_count();
null_count += DropNullCount(*column);
}
if (null_count == 0) {
return batch;
Expand All @@ -126,15 +187,25 @@ Result<Datum> DropNullRecordBatch(const std::shared_ptr<RecordBatch>& batch,
bit_util::SetBitsTo(dst->mutable_data(), 0, batch->num_rows(), false);
break;
}
if (column->null_bitmap_data()) {
if (is_union(column->type_id())) {
ARROW_ASSIGN_OR_RAISE(auto validity, MakeDropNullFilter(*column, ctx));
::arrow::internal::BitmapAnd(validity->values()->data(), validity->offset(),
dst->data(), 0, column->length(), 0,
dst->mutable_data());
} else if (column->null_bitmap_data()) {
::arrow::internal::BitmapAnd(column->null_bitmap_data(), column->offset(),
dst->data(), 0, column->length(), 0,
dst->mutable_data());
}
}
auto drop_null_filter = std::make_shared<BooleanArray>(batch->num_rows(), dst);
if (drop_null_filter->true_count() == 0) {
return RecordBatch::MakeEmpty(batch->schema(), ctx->memory_pool());
ArrayVector empty_columns;
for (const auto& column : batch->columns()) {
ARROW_ASSIGN_OR_RAISE(auto empty, MakeDropNullEmptyArray(column->type(), ctx));

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The extension fix misses a sibling-column case: an all-null union beside a valid list column containing [[], []].

Dropping all rows calls MakeEmptyArray for the list column, which fails with "MakeBuilder: cannot construct builder for type extension<arrow.bool8>".

Could we handle this case too and add dense/sparse regressions for RecordBatch and Table?

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Confirmed on 23fd210: both new RecordBatch/Table regressions fail with MakeBuilder: cannot construct builder for type extension<arrow.bool8>.

Pushed 295917f. Empty outputs now use the null-array factory for extension-bearing sibling columns as well as unions. This constructs fresh empty buffers without requiring the nested extension builder. Ordinary types and the existing REE construction path remain unchanged.

The regressions pair an all-null dense/sparse union with a valid list<bool8> column containing [[], []], and check that dropping all rows preserves the schema and list/extension types for both RecordBatch and Table. Both new tests pass; the complete vector-selection suite passes (173 tests, one pre-existing disabled test). Formatting and git diff --check also pass. This revision and validation were assisted by Codex.

empty_columns.push_back(std::move(empty));
}
return RecordBatch::Make(batch->schema(), 0, std::move(empty_columns));
}
return Filter(Datum(batch), Datum(drop_null_filter), FilterOptions::Defaults(), ctx);
}
Expand All @@ -147,7 +218,7 @@ Result<Datum> DropNullTable(const std::shared_ptr<Table>& table, ExecContext* ct
int64_t null_count = 0;
for (const auto& col : table->columns()) {
for (const auto& column_chunk : col->chunks()) {
null_count += column_chunk->null_count();
null_count += DropNullCount(*column_chunk);
}
}
if (null_count == 0) {
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