// 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 "arrow/table.h"

#include <algorithm>
#include <cstdlib>
#include <limits>
#include <memory>
#include <sstream>
#include <utility>

#include "arrow/array/array_base.h"
#include "arrow/array/array_binary.h"
#include "arrow/array/array_nested.h"
#include "arrow/array/concatenate.h"
#include "arrow/array/util.h"
#include "arrow/chunked_array.h"
#include "arrow/compare.h"
#include "arrow/compute/cast.h"
#include "arrow/pretty_print.h"
#include "arrow/record_batch.h"
#include "arrow/result.h"
#include "arrow/status.h"
#include "arrow/type.h"
#include "arrow/type_fwd.h"
#include "arrow/type_traits.h"
#include "arrow/util/checked_cast.h"
#include "arrow/util/logging_internal.h"
#include "arrow/util/vector.h"

namespace arrow {

using internal::checked_cast;

class KeyValueMetadata;
class MemoryPool;
struct ArrayData;

// ----------------------------------------------------------------------
// Table methods

/// \class SimpleTable
/// \brief A basic, non-lazy in-memory table, like SimpleRecordBatch
class SimpleTable : public Table {
 public:
  SimpleTable(std::shared_ptr<Schema> schema,
              std::vector<std::shared_ptr<ChunkedArray>> columns, int64_t num_rows = -1)
      : columns_(std::move(columns)) {
    schema_ = std::move(schema);
    if (num_rows < 0) {
      if (columns_.size() == 0) {
        num_rows_ = 0;
      } else {
        num_rows_ = columns_[0]->length();
      }
    } else {
      num_rows_ = num_rows;
    }
  }

  SimpleTable(std::shared_ptr<Schema> schema,
              const std::vector<std::shared_ptr<Array>>& columns, int64_t num_rows = -1) {
    schema_ = std::move(schema);
    if (num_rows < 0) {
      if (columns.size() == 0) {
        num_rows_ = 0;
      } else {
        num_rows_ = columns[0]->length();
      }
    } else {
      num_rows_ = num_rows;
    }

    columns_.resize(columns.size());
    for (size_t i = 0; i < columns.size(); ++i) {
      columns_[i] = std::make_shared<ChunkedArray>(columns[i]);
    }
  }

  std::shared_ptr<ChunkedArray> column(int i) const override { return columns_[i]; }

  const std::vector<std::shared_ptr<ChunkedArray>>& columns() const override {
    return columns_;
  }

  std::shared_ptr<Table> Slice(int64_t offset, int64_t length) const override {
    auto sliced = columns_;
    int64_t num_rows = length;
    for (auto& column : sliced) {
      column = column->Slice(offset, length);
      num_rows = column->length();
    }
    return Table::Make(schema_, std::move(sliced), num_rows);
  }

  Result<std::shared_ptr<Table>> RemoveColumn(int i) const override {
    ARROW_ASSIGN_OR_RAISE(auto new_schema, schema_->RemoveField(i));

    return Table::Make(std::move(new_schema), internal::DeleteVectorElement(columns_, i),
                       this->num_rows());
  }

  Result<std::shared_ptr<Table>> AddColumn(
      int i, std::shared_ptr<Field> field_arg,
      std::shared_ptr<ChunkedArray> col) const override {
    DCHECK(col != nullptr);

    if (col->length() != num_rows_) {
      return Status::Invalid(
          "Added column's length must match table's length. Expected length ", num_rows_,
          " but got length ", col->length());
    }

    if (!field_arg->type()->Equals(col->type())) {
      return Status::Invalid("Field type did not match data type");
    }

    ARROW_ASSIGN_OR_RAISE(auto new_schema, schema_->AddField(i, field_arg));
    return Table::Make(std::move(new_schema),
                       internal::AddVectorElement(columns_, i, std::move(col)));
  }

  Result<std::shared_ptr<Table>> SetColumn(
      int i, std::shared_ptr<Field> field_arg,
      std::shared_ptr<ChunkedArray> col) const override {
    DCHECK(col != nullptr);

    if (col->length() != num_rows_) {
      return Status::Invalid(
          "Added column's length must match table's length. Expected length ", num_rows_,
          " but got length ", col->length());
    }

    if (!field_arg->type()->Equals(col->type())) {
      return Status::Invalid("Field type did not match data type");
    }

    ARROW_ASSIGN_OR_RAISE(auto new_schema, schema_->SetField(i, field_arg));
    return Table::Make(std::move(new_schema),
                       internal::ReplaceVectorElement(columns_, i, std::move(col)));
  }

  std::shared_ptr<Table> ReplaceSchemaMetadata(
      const std::shared_ptr<const KeyValueMetadata>& metadata) const override {
    auto new_schema = schema_->WithMetadata(metadata);
    return Table::Make(std::move(new_schema), columns_);
  }

  Result<std::shared_ptr<Table>> Flatten(MemoryPool* pool) const override {
    std::vector<std::shared_ptr<Field>> flattened_fields;
    std::vector<std::shared_ptr<ChunkedArray>> flattened_columns;
    for (int i = 0; i < num_columns(); ++i) {
      std::vector<std::shared_ptr<Field>> new_fields = field(i)->Flatten();
      ARROW_ASSIGN_OR_RAISE(auto new_columns, column(i)->Flatten(pool));
      DCHECK_EQ(new_columns.size(), new_fields.size());
      for (size_t j = 0; j < new_columns.size(); ++j) {
        flattened_fields.push_back(new_fields[j]);
        flattened_columns.push_back(new_columns[j]);
      }
    }
    auto flattened_schema =
        std::make_shared<Schema>(std::move(flattened_fields), schema_->metadata());
    return Table::Make(std::move(flattened_schema), std::move(flattened_columns));
  }

  Status Validate() const override {
    RETURN_NOT_OK(ValidateMeta());
    for (int i = 0; i < num_columns(); ++i) {
      const ChunkedArray* col = columns_[i].get();
      Status st = col->Validate();
      if (!st.ok()) {
        std::stringstream ss;
        ss << "Column " << i << ": " << st.message();
        return st.WithMessage(ss.str());
      }
    }
    return Status::OK();
  }

  Status ValidateFull() const override {
    RETURN_NOT_OK(ValidateMeta());
    for (int i = 0; i < num_columns(); ++i) {
      const ChunkedArray* col = columns_[i].get();
      Status st = col->ValidateFull();
      if (!st.ok()) {
        std::stringstream ss;
        ss << "Column " << i << ": " << st.message();
        return st.WithMessage(ss.str());
      }
    }
    return Status::OK();
  }

 protected:
  Status ValidateMeta() const {
    // Make sure columns and schema are consistent
    if (static_cast<int>(columns_.size()) != schema_->num_fields()) {
      return Status::Invalid("Number of columns did not match schema");
    }
    for (int i = 0; i < num_columns(); ++i) {
      const ChunkedArray* col = columns_[i].get();
      if (col == nullptr) {
        return Status::Invalid("Column ", i, " was null");
      }
      if (!col->type()->Equals(*schema_->field(i)->type())) {
        return Status::Invalid("Column data for field ", i, " with type ",
                               col->type()->ToString(), " is inconsistent with schema ",
                               schema_->field(i)->type()->ToString());
      }
    }

    // Make sure columns are all the same length, and validate them
    for (int i = 0; i < num_columns(); ++i) {
      const ChunkedArray* col = columns_[i].get();
      if (col->length() != num_rows_) {
        return Status::Invalid("Column ", i, " named ", field(i)->name(),
                               " expected length ", num_rows_, " but got length ",
                               col->length());
      }
      Status st = col->Validate();
      if (!st.ok()) {
        std::stringstream ss;
        ss << "Column " << i << ": " << st.message();
        return st.WithMessage(ss.str());
      }
    }
    return Status::OK();
  }

 private:
  std::vector<std::shared_ptr<ChunkedArray>> columns_;
};

Table::Table() : num_rows_(0) {}

std::vector<std::shared_ptr<Field>> Table::fields() const {
  std::vector<std::shared_ptr<Field>> result;
  result.reserve(this->num_columns());
  for (int i = 0; i < this->num_columns(); ++i) {
    result.emplace_back(this->field(i));
  }
  return result;
}

std::shared_ptr<Table> Table::Make(std::shared_ptr<Schema> schema,
                                   std::vector<std::shared_ptr<ChunkedArray>> columns,
                                   int64_t num_rows) {
  return std::make_shared<SimpleTable>(std::move(schema), std::move(columns), num_rows);
}

std::shared_ptr<Table> Table::Make(std::shared_ptr<Schema> schema,
                                   const std::vector<std::shared_ptr<Array>>& arrays,
                                   int64_t num_rows) {
  return std::make_shared<SimpleTable>(std::move(schema), arrays, num_rows);
}

Result<std::shared_ptr<Table>> Table::MakeEmpty(std::shared_ptr<Schema> schema,
                                                MemoryPool* memory_pool) {
  ChunkedArrayVector empty_table(schema->num_fields());
  for (int i = 0; i < schema->num_fields(); i++) {
    ARROW_ASSIGN_OR_RAISE(empty_table[i],
                          ChunkedArray::MakeEmpty(schema->field(i)->type(), memory_pool));
  }
  return Table::Make(std::move(schema), empty_table, 0);
}

Result<std::shared_ptr<Table>> Table::FromRecordBatchReader(RecordBatchReader* reader) {
  return reader->ToTable();
}

Result<std::shared_ptr<Table>> Table::FromRecordBatches(
    std::shared_ptr<Schema> schema,
    const std::vector<std::shared_ptr<RecordBatch>>& batches) {
  const int nbatches = static_cast<int>(batches.size());
  const int ncolumns = static_cast<int>(schema->num_fields());

  int64_t num_rows = 0;
  for (int i = 0; i < nbatches; ++i) {
    if (!batches[i]->schema()->Equals(*schema, false)) {
      return Status::Invalid("Schema at index ", static_cast<int>(i),
                             " was different: \n", schema->ToString(), "\nvs\n",
                             batches[i]->schema()->ToString());
    }
    num_rows += batches[i]->num_rows();
  }

  std::vector<std::shared_ptr<ChunkedArray>> columns(ncolumns);
  std::vector<std::shared_ptr<Array>> column_arrays(nbatches);

  for (int i = 0; i < ncolumns; ++i) {
    for (int j = 0; j < nbatches; ++j) {
      column_arrays[j] = batches[j]->column(i);
    }
    columns[i] = std::make_shared<ChunkedArray>(column_arrays, schema->field(i)->type());
  }

  return Table::Make(std::move(schema), std::move(columns), num_rows);
}

Result<std::shared_ptr<Table>> Table::FromRecordBatches(
    const std::vector<std::shared_ptr<RecordBatch>>& batches) {
  if (batches.size() == 0) {
    return Status::Invalid("Must pass at least one record batch or an explicit Schema");
  }

  return FromRecordBatches(batches[0]->schema(), batches);
}

Result<std::shared_ptr<Table>> Table::FromChunkedStructArray(
    const std::shared_ptr<ChunkedArray>& array) {
  auto type = array->type();
  if (type->id() != Type::STRUCT) {
    return Status::Invalid("Expected a chunked struct array, got ", *type);
  }
  int num_columns = type->num_fields();
  int num_chunks = array->num_chunks();

  const auto& struct_chunks = array->chunks();
  std::vector<std::shared_ptr<ChunkedArray>> columns(num_columns);
  for (int i = 0; i < num_columns; ++i) {
    ArrayVector chunks(num_chunks);
    std::transform(struct_chunks.begin(), struct_chunks.end(), chunks.begin(),
                   [i](const std::shared_ptr<Array>& struct_chunk) {
                     return static_cast<const StructArray&>(*struct_chunk).field(i);
                   });
    columns[i] =
        std::make_shared<ChunkedArray>(std::move(chunks), type->field(i)->type());
  }

  return Table::Make(::arrow::schema(type->fields()), std::move(columns),
                     array->length());
}

std::vector<std::string> Table::ColumnNames() const {
  std::vector<std::string> names(num_columns());
  for (int i = 0; i < num_columns(); ++i) {
    names[i] = field(i)->name();
  }
  return names;
}

Result<std::shared_ptr<Table>> Table::RenameColumns(
    const std::vector<std::string>& names) const {
  if (names.size() != static_cast<size_t>(num_columns())) {
    return Status::Invalid("tried to rename a table of ", num_columns(),
                           " columns but only ", names.size(), " names were provided");
  }
  std::vector<std::shared_ptr<ChunkedArray>> columns(num_columns());
  std::vector<std::shared_ptr<Field>> fields(num_columns());
  for (int i = 0; i < num_columns(); ++i) {
    columns[i] = column(i);
    fields[i] = field(i)->WithName(names[i]);
  }
  return Table::Make(::arrow::schema(std::move(fields)), std::move(columns), num_rows());
}

Result<std::shared_ptr<Table>> Table::SelectColumns(
    const std::vector<int>& indices) const {
  int n = static_cast<int>(indices.size());

  std::vector<std::shared_ptr<ChunkedArray>> columns(n);
  std::vector<std::shared_ptr<Field>> fields(n);
  for (int i = 0; i < n; i++) {
    int pos = indices[i];
    if (pos < 0 || pos > num_columns() - 1) {
      return Status::Invalid("Invalid column index ", pos, " to select columns.");
    }
    columns[i] = column(pos);
    fields[i] = field(pos);
  }

  auto new_schema =
      std::make_shared<arrow::Schema>(std::move(fields), schema()->metadata());
  return Table::Make(std::move(new_schema), std::move(columns), num_rows());
}

std::string Table::ToString() const {
  std::stringstream ss;
  ARROW_CHECK_OK(PrettyPrint(*this, 0, &ss));
  return ss.str();
}

Result<std::shared_ptr<Table>> ConcatenateTables(
    const std::vector<std::shared_ptr<Table>>& tables,
    const ConcatenateTablesOptions options, MemoryPool* memory_pool) {
  if (tables.size() == 0) {
    return Status::Invalid("Must pass at least one table");
  }

  std::vector<std::shared_ptr<Table>> promoted_tables;
  const std::vector<std::shared_ptr<Table>>* tables_to_concat = &tables;
  if (options.unify_schemas) {
    std::vector<std::shared_ptr<Schema>> schemas;
    schemas.reserve(tables.size());
    for (const auto& t : tables) {
      schemas.push_back(t->schema());
    }

    ARROW_ASSIGN_OR_RAISE(std::shared_ptr<Schema> unified_schema,
                          UnifySchemas(schemas, options.field_merge_options));

    promoted_tables.reserve(tables.size());
    for (const auto& t : tables) {
      promoted_tables.emplace_back();
      ARROW_ASSIGN_OR_RAISE(promoted_tables.back(),
                            PromoteTableToSchema(t, unified_schema, memory_pool));
    }
    tables_to_concat = &promoted_tables;
  } else {
    auto first_schema = tables[0]->schema();
    for (size_t i = 1; i < tables.size(); ++i) {
      if (!tables[i]->schema()->Equals(*first_schema, false)) {
        return Status::Invalid("Schema at index ", i, " was different: \n",
                               first_schema->ToString(), "\nvs\n",
                               tables[i]->schema()->ToString());
      }
    }
  }

  std::shared_ptr<Schema> schema = tables_to_concat->front()->schema();

  const int ncolumns = schema->num_fields();

  std::vector<std::shared_ptr<ChunkedArray>> columns(ncolumns);
  for (int i = 0; i < ncolumns; ++i) {
    std::vector<std::shared_ptr<Array>> column_arrays;
    for (const auto& table : *tables_to_concat) {
      const std::vector<std::shared_ptr<Array>>& chunks = table->column(i)->chunks();
      for (const auto& chunk : chunks) {
        column_arrays.push_back(chunk);
      }
    }
    columns[i] = std::make_shared<ChunkedArray>(column_arrays, schema->field(i)->type());
  }
  return Table::Make(std::move(schema), std::move(columns));
}

Result<std::shared_ptr<Table>> PromoteTableToSchema(const std::shared_ptr<Table>& table,
                                                    const std::shared_ptr<Schema>& schema,
                                                    MemoryPool* pool) {
  return PromoteTableToSchema(table, schema, compute::CastOptions::Safe(), pool);
}

Result<std::shared_ptr<Table>> PromoteTableToSchema(const std::shared_ptr<Table>& table,
                                                    const std::shared_ptr<Schema>& schema,
                                                    const compute::CastOptions& options,
                                                    MemoryPool* pool) {
  const std::shared_ptr<Schema> current_schema = table->schema();
  if (current_schema->Equals(*schema, /*check_metadata=*/false)) {
    return table->ReplaceSchemaMetadata(schema->metadata());
  }

  // fields_seen[i] == true iff that field is also in `schema`.
  std::vector<bool> fields_seen(current_schema->num_fields(), false);

  std::vector<std::shared_ptr<ChunkedArray>> columns;
  columns.reserve(schema->num_fields());
  const int64_t num_rows = table->num_rows();
  auto AppendColumnOfNulls = [pool, &columns,
                              num_rows](const std::shared_ptr<DataType>& type) {
    // TODO(bkietz): share the zero-filled buffers as much as possible across
    // the null-filled arrays created here.
    ARROW_ASSIGN_OR_RAISE(auto array_of_nulls, MakeArrayOfNull(type, num_rows, pool));
    columns.push_back(std::make_shared<ChunkedArray>(array_of_nulls));
    return Status::OK();
  };

  for (const auto& field : schema->fields()) {
    const std::vector<int> field_indices =
        current_schema->GetAllFieldIndices(field->name());
    if (field_indices.empty()) {
      RETURN_NOT_OK(AppendColumnOfNulls(field->type()));
      continue;
    }

    if (field_indices.size() > 1) {
      return Status::Invalid(
          "PromoteTableToSchema cannot handle schemas with duplicate fields: ",
          field->name());
    }

    const int field_index = field_indices[0];
    const auto& current_field = current_schema->field(field_index);
    if (!field->nullable() && current_field->nullable()) {
      return Status::TypeError("Unable to promote field ", current_field->name(),
                               ": it was nullable but the target schema was not.");
    }

    fields_seen[field_index] = true;
    if (current_field->type()->Equals(field->type())) {
      columns.push_back(table->column(field_index));
      continue;
    }

    if (current_field->type()->id() == Type::NA) {
      RETURN_NOT_OK(AppendColumnOfNulls(field->type()));
      continue;
    }

    if (!compute::CanCast(*current_field->type(), *field->type())) {
      return Status::TypeError("Unable to promote field ", field->name(),
                               ": incompatible types: ", field->type()->ToString(),
                               " vs ", current_field->type()->ToString());
    }
    compute::ExecContext ctx(pool);
    ARROW_ASSIGN_OR_RAISE(auto casted, compute::Cast(table->column(field_index),
                                                     field->type(), options, &ctx));
    columns.push_back(casted.chunked_array());
  }

  auto unseen_field_iter = std::find(fields_seen.begin(), fields_seen.end(), false);
  if (unseen_field_iter != fields_seen.end()) {
    const size_t unseen_field_index = unseen_field_iter - fields_seen.begin();
    return Status::Invalid(
        "Incompatible schemas: field ",
        current_schema->field(static_cast<int>(unseen_field_index))->name(),
        " did not exist in the new schema.");
  }

  return Table::Make(schema, std::move(columns));
}

namespace {

bool ContainFloat(const std::shared_ptr<DataType>& type) {
  if (is_floating(type->id())) {
    return true;
  }

  for (const auto& field : type->fields()) {
    if (ContainFloat(field->type())) {
      return true;
    }
  }
  return false;
}

bool CanIgnoreNan(const Schema& schema, const EqualOptions& opts) {
  if (opts.nans_equal()) {
    return true;
  }

  for (auto& field : schema.fields()) {
    if (ContainFloat(field->type())) {
      return false;
    }
  }
  return true;
}

}  // namespace

bool Table::Equals(const Table& other, const EqualOptions& opts) const {
  if (this == &other) {
    if (CanIgnoreNan(*schema_, opts)) {
      return true;
    }
  } else {
    if (num_columns() != other.num_columns() || num_rows_ != other.num_rows()) {
      return false;
    } else if (opts.use_schema() &&
               !schema_->Equals(*other.schema(), opts.use_metadata())) {
      return false;
    }
  }

  for (int i = 0; i < this->num_columns(); i++) {
    if (!this->column(i)->Equals(other.column(i), opts)) {
      return false;
    }
  }
  return true;
}

Result<std::shared_ptr<Table>> Table::CombineChunks(MemoryPool* pool) const {
  const int ncolumns = num_columns();
  std::vector<std::shared_ptr<ChunkedArray>> compacted_columns(ncolumns);
  for (int i = 0; i < ncolumns; ++i) {
    const auto& col = column(i);
    if (col->num_chunks() <= 1) {
      compacted_columns[i] = col;
      continue;
    }

    if (is_binary_like(col->type()->id())) {
      // ARROW-5744 Allow binary columns to be combined into multiple chunks to avoid
      // buffer overflow
      ArrayVector chunks;
      int chunk_i = 0;
      while (chunk_i < col->num_chunks()) {
        ArrayVector safe_chunks;
        int64_t data_length = 0;
        for (; chunk_i < col->num_chunks(); ++chunk_i) {
          const auto& chunk = col->chunk(chunk_i);
          data_length += checked_cast<const BinaryArray&>(*chunk).total_values_length();
          if (data_length >= kBinaryMemoryLimit) {
            break;
          }
          safe_chunks.push_back(chunk);
        }
        chunks.emplace_back();
        ARROW_ASSIGN_OR_RAISE(chunks.back(), Concatenate(safe_chunks, pool));
      }
      compacted_columns[i] = std::make_shared<ChunkedArray>(std::move(chunks));
    } else {
      ARROW_ASSIGN_OR_RAISE(auto compacted, Concatenate(col->chunks(), pool));
      compacted_columns[i] = std::make_shared<ChunkedArray>(compacted);
    }
  }
  return Table::Make(schema(), std::move(compacted_columns), num_rows_);
}

Result<std::shared_ptr<RecordBatch>> Table::CombineChunksToBatch(MemoryPool* pool) const {
  ARROW_ASSIGN_OR_RAISE(std::shared_ptr<Table> combined, CombineChunks(pool));
  std::vector<std::shared_ptr<Array>> arrays;
  for (const auto& column : combined->columns()) {
    if (column->num_chunks() == 0) {
      DCHECK_EQ(num_rows(), 0) << "Empty chunk with more than 0 rows";
      ARROW_ASSIGN_OR_RAISE(auto chunk,
                            MakeArrayOfNull(column->type(), num_rows(), pool));
      arrays.push_back(std::move(chunk));
    } else {
      arrays.push_back(column->chunk(0));
    }
  }
  return RecordBatch::Make(schema_, num_rows_, std::move(arrays));
}
// ----------------------------------------------------------------------
// Convert a table to a sequence of record batches

TableBatchReader::TableBatchReader(const Table& table)
    : owned_table_(nullptr),
      table_(table),
      column_data_(table.num_columns()),
      chunk_numbers_(table.num_columns(), 0),
      chunk_offsets_(table.num_columns(), 0),
      absolute_row_position_(0),
      max_chunksize_(std::numeric_limits<int64_t>::max()) {
  for (int i = 0; i < table.num_columns(); ++i) {
    column_data_[i] = table.column(i).get();
  }
  DCHECK(table_.Validate().ok());
}

TableBatchReader::TableBatchReader(std::shared_ptr<Table> table)
    : owned_table_(std::move(table)),
      table_(*owned_table_),
      column_data_(owned_table_->num_columns()),
      chunk_numbers_(owned_table_->num_columns(), 0),
      chunk_offsets_(owned_table_->num_columns(), 0),
      absolute_row_position_(0),
      max_chunksize_(std::numeric_limits<int64_t>::max()) {
  for (int i = 0; i < owned_table_->num_columns(); ++i) {
    column_data_[i] = owned_table_->column(i).get();
  }
  DCHECK(table_.Validate().ok());
}

std::shared_ptr<Schema> TableBatchReader::schema() const { return table_.schema(); }

void TableBatchReader::set_chunksize(int64_t chunksize) { max_chunksize_ = chunksize; }

Status TableBatchReader::ReadNext(std::shared_ptr<RecordBatch>* out) {
  if (absolute_row_position_ == table_.num_rows()) {
    *out = nullptr;
    return Status::OK();
  }

  // Determine the minimum contiguous slice across all columns
  int64_t chunksize =
      std::min(table_.num_rows() - absolute_row_position_, max_chunksize_);
  std::vector<const Array*> chunks(table_.num_columns());
  for (int i = 0; i < table_.num_columns(); ++i) {
    auto chunk = column_data_[i]->chunk(chunk_numbers_[i]).get();
    int64_t chunk_remaining = chunk->length() - chunk_offsets_[i];

    if (chunk_remaining < chunksize) {
      chunksize = chunk_remaining;
    }

    chunks[i] = chunk;
  }

  // Slice chunks and advance chunk index as appropriate
  std::vector<std::shared_ptr<ArrayData>> batch_data(table_.num_columns());

  for (int i = 0; i < table_.num_columns(); ++i) {
    // Exhausted chunk
    const Array* chunk = chunks[i];
    const int64_t offset = chunk_offsets_[i];
    std::shared_ptr<ArrayData> slice_data;
    if ((chunk->length() - offset) == chunksize) {
      ++chunk_numbers_[i];
      chunk_offsets_[i] = 0;
      if (offset > 0) {
        // Need to slice
        slice_data = chunk->Slice(offset, chunksize)->data();
      } else {
        // No slice
        slice_data = chunk->data();
      }
    } else {
      chunk_offsets_[i] += chunksize;
      slice_data = chunk->Slice(offset, chunksize)->data();
    }
    batch_data[i] = std::move(slice_data);
  }

  absolute_row_position_ += chunksize;
  *out = RecordBatch::Make(table_.schema(), chunksize, std::move(batch_data));

  return Status::OK();
}

}  // namespace arrow
