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ClickHouse/src/Columns/ColumnArray.cpp

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#include <string.h> // memcpy
#include <Columns/ColumnArray.h>
#include <Columns/ColumnsNumber.h>
#include <Columns/ColumnString.h>
#include <Columns/ColumnTuple.h>
#include <Columns/ColumnNullable.h>
#include <Columns/ColumnConst.h>
#include <Columns/ColumnsCommon.h>
#include <common/unaligned.h>
#include <DataStreams/ColumnGathererStream.h>
#include <Common/Exception.h>
#include <Common/Arena.h>
#include <Common/SipHash.h>
#include <Common/typeid_cast.h>
#include <Common/assert_cast.h>
#include <Common/WeakHash.h>
#include <Common/HashTable/Hash.h>
#include <miniselect/floyd_rivest_select.h>
namespace DB
{
namespace ErrorCodes
{
extern const int NOT_IMPLEMENTED;
extern const int BAD_ARGUMENTS;
extern const int PARAMETER_OUT_OF_BOUND;
extern const int SIZES_OF_COLUMNS_DOESNT_MATCH;
extern const int LOGICAL_ERROR;
extern const int TOO_LARGE_ARRAY_SIZE;
}
/** Obtaining array as Field can be slow for large arrays and consume vast amount of memory.
* Just don't allow to do it.
* You can increase the limit if the following query:
* SELECT range(10000000)
* will take less than 500ms on your machine.
*/
static constexpr size_t max_array_size_as_field = 1000000;
ColumnArray::ColumnArray(MutableColumnPtr && nested_column, MutableColumnPtr && offsets_column)
: data(std::move(nested_column)), offsets(std::move(offsets_column))
{
const ColumnOffsets * offsets_concrete = typeid_cast<const ColumnOffsets *>(offsets.get());
if (!offsets_concrete)
throw Exception("offsets_column must be a ColumnUInt64", ErrorCodes::LOGICAL_ERROR);
if (!offsets_concrete->empty() && nested_column)
{
Offset last_offset = offsets_concrete->getData().back();
/// This will also prevent possible overflow in offset.
if (nested_column->size() != last_offset)
throw Exception("offsets_column has data inconsistent with nested_column", ErrorCodes::LOGICAL_ERROR);
}
/** NOTE
* Arrays with constant value are possible and used in implementation of higher order functions (see FunctionReplicate).
* But in most cases, arrays with constant value are unexpected and code will work wrong. Use with caution.
*/
}
ColumnArray::ColumnArray(MutableColumnPtr && nested_column)
: data(std::move(nested_column))
{
if (!data->empty())
throw Exception("Not empty data passed to ColumnArray, but no offsets passed", ErrorCodes::LOGICAL_ERROR);
offsets = ColumnOffsets::create();
}
std::string ColumnArray::getName() const { return "Array(" + getData().getName() + ")"; }
MutableColumnPtr ColumnArray::cloneResized(size_t to_size) const
{
auto res = ColumnArray::create(getData().cloneEmpty());
if (to_size == 0)
return res;
size_t from_size = size();
if (to_size <= from_size)
{
/// Just cut column.
res->getOffsets().assign(getOffsets().begin(), getOffsets().begin() + to_size);
res->getData().insertRangeFrom(getData(), 0, getOffsets()[to_size - 1]);
}
else
{
/// Copy column and append empty arrays for extra elements.
Offset offset = 0;
if (from_size > 0)
{
res->getOffsets().assign(getOffsets().begin(), getOffsets().end());
res->getData().insertRangeFrom(getData(), 0, getData().size());
offset = getOffsets().back();
}
res->getOffsets().resize(to_size);
for (size_t i = from_size; i < to_size; ++i)
res->getOffsets()[i] = offset;
}
return res;
}
size_t ColumnArray::size() const
{
return getOffsets().size();
}
Field ColumnArray::operator[](size_t n) const
{
size_t offset = offsetAt(n);
size_t size = sizeAt(n);
if (size > max_array_size_as_field)
throw Exception(ErrorCodes::TOO_LARGE_ARRAY_SIZE, "Array of size {} is too large to be manipulated as single field, maximum size {}",
size, max_array_size_as_field);
Array res(size);
for (size_t i = 0; i < size; ++i)
res[i] = getData()[offset + i];
return res;
}
void ColumnArray::get(size_t n, Field & res) const
{
size_t offset = offsetAt(n);
size_t size = sizeAt(n);
if (size > max_array_size_as_field)
throw Exception(ErrorCodes::TOO_LARGE_ARRAY_SIZE, "Array of size {} is too large to be manipulated as single field, maximum size {}",
size, max_array_size_as_field);
res = Array(size);
Array & res_arr = DB::get<Array &>(res);
for (size_t i = 0; i < size; ++i)
getData().get(offset + i, res_arr[i]);
}
StringRef ColumnArray::getDataAt(size_t n) const
{
/** Returns the range of memory that covers all elements of the array.
* Works for arrays of fixed length values.
* For arrays of strings and arrays of arrays, the resulting chunk of memory may not be one-to-one correspondence with the elements,
* since it contains only the data laid in succession, but not the offsets.
*/
size_t offset_of_first_elem = offsetAt(n);
StringRef first = getData().getDataAtWithTerminatingZero(offset_of_first_elem);
size_t array_size = sizeAt(n);
if (array_size == 0)
return StringRef(first.data, 0);
size_t offset_of_last_elem = getOffsets()[n] - 1;
StringRef last = getData().getDataAtWithTerminatingZero(offset_of_last_elem);
return StringRef(first.data, last.data + last.size - first.data);
}
void ColumnArray::insertData(const char * pos, size_t length)
{
/** Similarly - only for arrays of fixed length values.
*/
if (!data->isFixedAndContiguous())
throw Exception("Method insertData is not supported for " + getName(), ErrorCodes::NOT_IMPLEMENTED);
size_t field_size = data->sizeOfValueIfFixed();
size_t elems = 0;
if (length)
{
const char * end = pos + length;
for (; pos + field_size <= end; pos += field_size, ++elems)
data->insertData(pos, field_size);
if (pos != end)
throw Exception("Incorrect length argument for method ColumnArray::insertData", ErrorCodes::BAD_ARGUMENTS);
}
getOffsets().push_back(getOffsets().back() + elems);
}
StringRef ColumnArray::serializeValueIntoArena(size_t n, Arena & arena, char const *& begin) const
{
size_t array_size = sizeAt(n);
size_t offset = offsetAt(n);
char * pos = arena.allocContinue(sizeof(array_size), begin);
memcpy(pos, &array_size, sizeof(array_size));
StringRef res(pos, sizeof(array_size));
for (size_t i = 0; i < array_size; ++i)
{
auto value_ref = getData().serializeValueIntoArena(offset + i, arena, begin);
res.data = value_ref.data - res.size;
res.size += value_ref.size;
}
return res;
}
const char * ColumnArray::deserializeAndInsertFromArena(const char * pos)
{
size_t array_size = unalignedLoad<size_t>(pos);
pos += sizeof(array_size);
for (size_t i = 0; i < array_size; ++i)
pos = getData().deserializeAndInsertFromArena(pos);
getOffsets().push_back(getOffsets().back() + array_size);
return pos;
}
void ColumnArray::updateHashWithValue(size_t n, SipHash & hash) const
{
size_t array_size = sizeAt(n);
size_t offset = offsetAt(n);
hash.update(array_size);
for (size_t i = 0; i < array_size; ++i)
getData().updateHashWithValue(offset + i, hash);
}
void ColumnArray::updateWeakHash32(WeakHash32 & hash) const
{
auto s = offsets->size();
if (hash.getData().size() != s)
throw Exception("Size of WeakHash32 does not match size of column: column size is " + std::to_string(s) +
", hash size is " + std::to_string(hash.getData().size()), ErrorCodes::LOGICAL_ERROR);
WeakHash32 internal_hash(data->size());
data->updateWeakHash32(internal_hash);
Offset prev_offset = 0;
const auto & offsets_data = getOffsets();
auto & hash_data = hash.getData();
auto & internal_hash_data = internal_hash.getData();
for (size_t i = 0; i < s; ++i)
{
/// This row improves hash a little bit according to integration tests.
/// It is the same as to use previous hash value as the first element of array.
hash_data[i] = intHashCRC32(hash_data[i]);
for (size_t row = prev_offset; row < offsets_data[i]; ++row)
/// It is probably not the best way to combine hashes.
/// But much better then xor which lead to similar hash for arrays like [1], [1, 1, 1], [1, 1, 1, 1, 1], ...
/// Much better implementation - to add offsets as an optional argument to updateWeakHash32.
hash_data[i] = intHashCRC32(internal_hash_data[row], hash_data[i]);
prev_offset = offsets_data[i];
}
}
void ColumnArray::updateHashFast(SipHash & hash) const
{
offsets->updateHashFast(hash);
data->updateHashFast(hash);
}
void ColumnArray::insert(const Field & x)
{
const Array & array = DB::get<const Array &>(x);
size_t size = array.size();
for (size_t i = 0; i < size; ++i)
getData().insert(array[i]);
getOffsets().push_back(getOffsets().back() + size);
}
void ColumnArray::insertFrom(const IColumn & src_, size_t n)
{
const ColumnArray & src = assert_cast<const ColumnArray &>(src_);
size_t size = src.sizeAt(n);
size_t offset = src.offsetAt(n);
getData().insertRangeFrom(src.getData(), offset, size);
getOffsets().push_back(getOffsets().back() + size);
}
void ColumnArray::insertDefault()
{
/// NOTE 1: We can use back() even if the array is empty (due to zero -1th element in PODArray).
/// NOTE 2: We cannot use reference in push_back, because reference get invalidated if array is reallocated.
auto last_offset = getOffsets().back();
getOffsets().push_back(last_offset);
}
void ColumnArray::popBack(size_t n)
{
auto & offsets_data = getOffsets();
size_t nested_n = offsets_data.back() - offsetAt(offsets_data.size() - n);
if (nested_n)
getData().popBack(nested_n);
offsets_data.resize_assume_reserved(offsets_data.size() - n);
}
int ColumnArray::compareAtImpl(size_t n, size_t m, const IColumn & rhs_, int nan_direction_hint, const Collator * collator) const
{
const ColumnArray & rhs = assert_cast<const ColumnArray &>(rhs_);
/// Suboptimal
size_t lhs_size = sizeAt(n);
size_t rhs_size = rhs.sizeAt(m);
size_t min_size = std::min(lhs_size, rhs_size);
for (size_t i = 0; i < min_size; ++i)
{
int res;
if (collator)
res = getData().compareAtWithCollation(offsetAt(n) + i, rhs.offsetAt(m) + i, *rhs.data.get(), nan_direction_hint, *collator);
else
res = getData().compareAt(offsetAt(n) + i, rhs.offsetAt(m) + i, *rhs.data.get(), nan_direction_hint);
if (res)
return res;
}
return lhs_size < rhs_size
? -1
: (lhs_size == rhs_size
? 0
: 1);
}
int ColumnArray::compareAt(size_t n, size_t m, const IColumn & rhs_, int nan_direction_hint) const
{
return compareAtImpl(n, m, rhs_, nan_direction_hint);
}
int ColumnArray::compareAtWithCollation(size_t n, size_t m, const IColumn & rhs_, int nan_direction_hint, const Collator & collator) const
{
return compareAtImpl(n, m, rhs_, nan_direction_hint, &collator);
}
void ColumnArray::compareColumn(const IColumn & rhs, size_t rhs_row_num,
PaddedPODArray<UInt64> * row_indexes, PaddedPODArray<Int8> & compare_results,
int direction, int nan_direction_hint) const
{
return doCompareColumn<ColumnArray>(assert_cast<const ColumnArray &>(rhs), rhs_row_num, row_indexes,
compare_results, direction, nan_direction_hint);
}
template <bool positive>
struct ColumnArray::Cmp
{
const ColumnArray & parent;
int nan_direction_hint;
const Collator * collator;
Cmp(const ColumnArray & parent_, int nan_direction_hint_, const Collator * collator_=nullptr)
: parent(parent_), nan_direction_hint(nan_direction_hint_), collator(collator_) {}
int operator()(size_t lhs, size_t rhs) const
{
int res;
if (collator)
res = parent.compareAtWithCollation(lhs, rhs, parent, nan_direction_hint, *collator);
else
res = parent.compareAt(lhs, rhs, parent, nan_direction_hint);
return positive ? res : -res;
}
};
void ColumnArray::reserve(size_t n)
{
getOffsets().reserve(n);
getData().reserve(n); /// The average size of arrays is not taken into account here. Or it is considered to be no more than 1.
}
size_t ColumnArray::byteSize() const
{
return getData().byteSize() + getOffsets().size() * sizeof(getOffsets()[0]);
}
size_t ColumnArray::allocatedBytes() const
{
return getData().allocatedBytes() + getOffsets().allocated_bytes();
}
void ColumnArray::protect()
{
getData().protect();
getOffsets().protect();
}
bool ColumnArray::hasEqualOffsets(const ColumnArray & other) const
{
if (offsets == other.offsets)
return true;
const Offsets & offsets1 = getOffsets();
const Offsets & offsets2 = other.getOffsets();
return offsets1.size() == offsets2.size()
&& (offsets1.empty() || 0 == memcmp(offsets1.data(), offsets2.data(), sizeof(offsets1[0]) * offsets1.size()));
}
ColumnPtr ColumnArray::convertToFullColumnIfConst() const
{
/// It is possible to have an array with constant data and non-constant offsets.
/// Example is the result of expression: replicate('hello', [1])
return ColumnArray::create(data->convertToFullColumnIfConst(), offsets);
}
void ColumnArray::getExtremes(Field & min, Field & max) const
{
min = Array();
max = Array();
size_t col_size = size();
if (col_size == 0)
return;
size_t min_idx = 0;
size_t max_idx = 0;
for (size_t i = 1; i < col_size; ++i)
{
if (compareAt(i, min_idx, *this, /* nan_direction_hint = */ 1) < 0)
min_idx = i;
else if (compareAt(i, max_idx, *this, /* nan_direction_hint = */ -1) > 0)
max_idx = i;
}
get(min_idx, min);
get(max_idx, max);
}
void ColumnArray::insertRangeFrom(const IColumn & src, size_t start, size_t length)
{
if (length == 0)
return;
const ColumnArray & src_concrete = assert_cast<const ColumnArray &>(src);
if (start + length > src_concrete.getOffsets().size())
throw Exception("Parameter out of bound in ColumnArray::insertRangeFrom method. [start(" + std::to_string(start) + ") + length(" + std::to_string(length) + ") > offsets.size(" + std::to_string(src_concrete.getOffsets().size()) + ")]",
ErrorCodes::PARAMETER_OUT_OF_BOUND);
size_t nested_offset = src_concrete.offsetAt(start);
size_t nested_length = src_concrete.getOffsets()[start + length - 1] - nested_offset;
getData().insertRangeFrom(src_concrete.getData(), nested_offset, nested_length);
Offsets & cur_offsets = getOffsets();
const Offsets & src_offsets = src_concrete.getOffsets();
if (start == 0 && cur_offsets.empty())
{
cur_offsets.assign(src_offsets.begin(), src_offsets.begin() + length);
}
else
{
size_t old_size = cur_offsets.size();
size_t prev_max_offset = old_size ? cur_offsets.back() : 0;
cur_offsets.resize(old_size + length);
for (size_t i = 0; i < length; ++i)
cur_offsets[old_size + i] = src_offsets[start + i] - nested_offset + prev_max_offset;
}
}
ColumnPtr ColumnArray::filter(const Filter & filt, ssize_t result_size_hint) const
{
if (typeid_cast<const ColumnUInt8 *>(data.get())) return filterNumber<UInt8>(filt, result_size_hint);
if (typeid_cast<const ColumnUInt16 *>(data.get())) return filterNumber<UInt16>(filt, result_size_hint);
if (typeid_cast<const ColumnUInt32 *>(data.get())) return filterNumber<UInt32>(filt, result_size_hint);
if (typeid_cast<const ColumnUInt64 *>(data.get())) return filterNumber<UInt64>(filt, result_size_hint);
if (typeid_cast<const ColumnInt8 *>(data.get())) return filterNumber<Int8>(filt, result_size_hint);
if (typeid_cast<const ColumnInt16 *>(data.get())) return filterNumber<Int16>(filt, result_size_hint);
if (typeid_cast<const ColumnInt32 *>(data.get())) return filterNumber<Int32>(filt, result_size_hint);
if (typeid_cast<const ColumnInt64 *>(data.get())) return filterNumber<Int64>(filt, result_size_hint);
if (typeid_cast<const ColumnFloat32 *>(data.get())) return filterNumber<Float32>(filt, result_size_hint);
if (typeid_cast<const ColumnFloat64 *>(data.get())) return filterNumber<Float64>(filt, result_size_hint);
if (typeid_cast<const ColumnString *>(data.get())) return filterString(filt, result_size_hint);
if (typeid_cast<const ColumnTuple *>(data.get())) return filterTuple(filt, result_size_hint);
if (typeid_cast<const ColumnNullable *>(data.get())) return filterNullable(filt, result_size_hint);
return filterGeneric(filt, result_size_hint);
}
template <typename T>
ColumnPtr ColumnArray::filterNumber(const Filter & filt, ssize_t result_size_hint) const
{
if (getOffsets().empty())
return ColumnArray::create(data);
auto res = ColumnArray::create(data->cloneEmpty());
auto & res_elems = assert_cast<ColumnVector<T> &>(res->getData()).getData();
Offsets & res_offsets = res->getOffsets();
filterArraysImpl<T>(assert_cast<const ColumnVector<T> &>(*data).getData(), getOffsets(), res_elems, res_offsets, filt, result_size_hint);
return res;
}
ColumnPtr ColumnArray::filterString(const Filter & filt, ssize_t result_size_hint) const
{
size_t col_size = getOffsets().size();
if (col_size != filt.size())
throw Exception("Size of filter doesn't match size of column.", ErrorCodes::SIZES_OF_COLUMNS_DOESNT_MATCH);
if (0 == col_size)
return ColumnArray::create(data);
auto res = ColumnArray::create(data->cloneEmpty());
const ColumnString & src_string = typeid_cast<const ColumnString &>(*data);
const ColumnString::Chars & src_chars = src_string.getChars();
const Offsets & src_string_offsets = src_string.getOffsets();
const Offsets & src_offsets = getOffsets();
ColumnString::Chars & res_chars = typeid_cast<ColumnString &>(res->getData()).getChars();
Offsets & res_string_offsets = typeid_cast<ColumnString &>(res->getData()).getOffsets();
Offsets & res_offsets = res->getOffsets();
if (result_size_hint < 0) /// Other cases are not considered.
{
res_chars.reserve(src_chars.size());
res_string_offsets.reserve(src_string_offsets.size());
res_offsets.reserve(col_size);
}
Offset prev_src_offset = 0;
Offset prev_src_string_offset = 0;
Offset prev_res_offset = 0;
Offset prev_res_string_offset = 0;
for (size_t i = 0; i < col_size; ++i)
{
/// Number of rows in the array.
size_t array_size = src_offsets[i] - prev_src_offset;
if (filt[i])
{
/// If the array is not empty - copy content.
if (array_size)
{
size_t chars_to_copy = src_string_offsets[array_size + prev_src_offset - 1] - prev_src_string_offset;
size_t res_chars_prev_size = res_chars.size();
res_chars.resize(res_chars_prev_size + chars_to_copy);
memcpy(&res_chars[res_chars_prev_size], &src_chars[prev_src_string_offset], chars_to_copy);
for (size_t j = 0; j < array_size; ++j)
res_string_offsets.push_back(src_string_offsets[j + prev_src_offset] + prev_res_string_offset - prev_src_string_offset);
prev_res_string_offset = res_string_offsets.back();
}
prev_res_offset += array_size;
res_offsets.push_back(prev_res_offset);
}
if (array_size)
{
prev_src_offset += array_size;
prev_src_string_offset = src_string_offsets[prev_src_offset - 1];
}
}
return res;
}
ColumnPtr ColumnArray::filterGeneric(const Filter & filt, ssize_t result_size_hint) const
{
size_t size = getOffsets().size();
if (size != filt.size())
throw Exception("Size of filter doesn't match size of column.", ErrorCodes::SIZES_OF_COLUMNS_DOESNT_MATCH);
if (size == 0)
return ColumnArray::create(data);
Filter nested_filt(getOffsets().back());
for (size_t i = 0; i < size; ++i)
{
if (filt[i])
memset(&nested_filt[offsetAt(i)], 1, sizeAt(i));
else
memset(&nested_filt[offsetAt(i)], 0, sizeAt(i));
}
auto res = ColumnArray::create(data->cloneEmpty());
ssize_t nested_result_size_hint = 0;
if (result_size_hint < 0)
nested_result_size_hint = result_size_hint;
else if (result_size_hint && result_size_hint < 1000000000 && data->size() < 1000000000) /// Avoid overflow.
nested_result_size_hint = result_size_hint * data->size() / size;
res->data = data->filter(nested_filt, nested_result_size_hint);
Offsets & res_offsets = res->getOffsets();
if (result_size_hint)
res_offsets.reserve(result_size_hint > 0 ? result_size_hint : size);
size_t current_offset = 0;
for (size_t i = 0; i < size; ++i)
{
if (filt[i])
{
current_offset += sizeAt(i);
res_offsets.push_back(current_offset);
}
}
return res;
}
ColumnPtr ColumnArray::filterNullable(const Filter & filt, ssize_t result_size_hint) const
{
if (getOffsets().empty())
return ColumnArray::create(data);
const ColumnNullable & nullable_elems = assert_cast<const ColumnNullable &>(*data);
auto array_of_nested = ColumnArray::create(nullable_elems.getNestedColumnPtr(), offsets);
auto filtered_array_of_nested_owner = array_of_nested->filter(filt, result_size_hint);
const auto & filtered_array_of_nested = assert_cast<const ColumnArray &>(*filtered_array_of_nested_owner);
const auto & filtered_offsets = filtered_array_of_nested.getOffsetsPtr();
auto res_null_map = ColumnUInt8::create();
filterArraysImplOnlyData(nullable_elems.getNullMapData(), getOffsets(), res_null_map->getData(), filt, result_size_hint);
return ColumnArray::create(
ColumnNullable::create(
filtered_array_of_nested.getDataPtr(),
std::move(res_null_map)),
filtered_offsets);
}
ColumnPtr ColumnArray::filterTuple(const Filter & filt, ssize_t result_size_hint) const
{
if (getOffsets().empty())
return ColumnArray::create(data);
const ColumnTuple & tuple = assert_cast<const ColumnTuple &>(*data);
/// Make temporary arrays for each components of Tuple, then filter and collect back.
size_t tuple_size = tuple.tupleSize();
if (tuple_size == 0)
throw Exception("Logical error: empty tuple", ErrorCodes::LOGICAL_ERROR);
Columns temporary_arrays(tuple_size);
for (size_t i = 0; i < tuple_size; ++i)
temporary_arrays[i] = ColumnArray(tuple.getColumns()[i]->assumeMutable(), getOffsetsPtr()->assumeMutable())
.filter(filt, result_size_hint);
Columns tuple_columns(tuple_size);
for (size_t i = 0; i < tuple_size; ++i)
tuple_columns[i] = assert_cast<const ColumnArray &>(*temporary_arrays[i]).getDataPtr();
return ColumnArray::create(
ColumnTuple::create(tuple_columns),
assert_cast<const ColumnArray &>(*temporary_arrays.front()).getOffsetsPtr());
}
ColumnPtr ColumnArray::permute(const Permutation & perm, size_t limit) const
{
size_t size = getOffsets().size();
if (limit == 0)
limit = size;
else
limit = std::min(size, limit);
if (perm.size() < limit)
throw Exception("Size of permutation is less than required.", ErrorCodes::SIZES_OF_COLUMNS_DOESNT_MATCH);
if (limit == 0)
return ColumnArray::create(data);
Permutation nested_perm(getOffsets().back());
auto res = ColumnArray::create(data->cloneEmpty());
Offsets & res_offsets = res->getOffsets();
res_offsets.resize(limit);
size_t current_offset = 0;
for (size_t i = 0; i < limit; ++i)
{
for (size_t j = 0; j < sizeAt(perm[i]); ++j)
nested_perm[current_offset + j] = offsetAt(perm[i]) + j;
current_offset += sizeAt(perm[i]);
res_offsets[i] = current_offset;
}
if (current_offset != 0)
res->data = data->permute(nested_perm, current_offset);
return res;
}
ColumnPtr ColumnArray::index(const IColumn & indexes, size_t limit) const
{
return selectIndexImpl(*this, indexes, limit);
}
template <typename T>
ColumnPtr ColumnArray::indexImpl(const PaddedPODArray<T> & indexes, size_t limit) const
{
if (limit == 0)
return ColumnArray::create(data);
/// Convert indexes to UInt64 in case of overflow.
auto nested_indexes_column = ColumnUInt64::create();
PaddedPODArray<UInt64> & nested_indexes = nested_indexes_column->getData();
nested_indexes.reserve(getOffsets().back());
auto res = ColumnArray::create(data->cloneEmpty());
Offsets & res_offsets = res->getOffsets();
res_offsets.resize(limit);
size_t current_offset = 0;
for (size_t i = 0; i < limit; ++i)
{
for (size_t j = 0; j < sizeAt(indexes[i]); ++j)
nested_indexes.push_back(offsetAt(indexes[i]) + j);
current_offset += sizeAt(indexes[i]);
res_offsets[i] = current_offset;
}
if (current_offset != 0)
res->data = data->index(*nested_indexes_column, current_offset);
return res;
}
INSTANTIATE_INDEX_IMPL(ColumnArray)
template <typename Comparator>
void ColumnArray::getPermutationImpl(size_t limit, Permutation & res, Comparator cmp) const
{
size_t s = size();
if (limit >= s)
limit = 0;
res.resize(s);
for (size_t i = 0; i < s; ++i)
res[i] = i;
auto less = [&cmp](size_t lhs, size_t rhs){ return cmp(lhs, rhs) < 0; };
if (limit)
miniselect::floyd_rivest_partial_sort(res.begin(), res.begin() + limit, res.end(), less);
else
std::sort(res.begin(), res.end(), less);
}
template <typename Comparator>
void ColumnArray::updatePermutationImpl(size_t limit, Permutation & res, EqualRanges & equal_range, Comparator cmp) const
{
if (equal_range.empty())
return;
if (limit >= size() || limit >= equal_range.back().second)
limit = 0;
size_t number_of_ranges = equal_range.size();
if (limit)
--number_of_ranges;
auto less = [&cmp](size_t lhs, size_t rhs){ return cmp(lhs, rhs) < 0; };
EqualRanges new_ranges;
for (size_t i = 0; i < number_of_ranges; ++i)
{
const auto & [first, last] = equal_range[i];
std::sort(res.begin() + first, res.begin() + last, less);
auto new_first = first;
for (auto j = first + 1; j < last; ++j)
{
if (cmp(res[new_first], res[j]) != 0)
{
if (j - new_first > 1)
new_ranges.emplace_back(new_first, j);
new_first = j;
}
}
if (last - new_first > 1)
new_ranges.emplace_back(new_first, last);
}
if (limit)
{
const auto & [first, last] = equal_range.back();
if (limit < first || limit > last)
return;
/// Since then we are working inside the interval.
miniselect::floyd_rivest_partial_sort(res.begin() + first, res.begin() + limit, res.begin() + last, less);
auto new_first = first;
for (auto j = first + 1; j < limit; ++j)
{
if (cmp(res[new_first], res[j]) != 0)
{
if (j - new_first > 1)
new_ranges.emplace_back(new_first, j);
new_first = j;
}
}
auto new_last = limit;
for (auto j = limit; j < last; ++j)
{
if (cmp(res[new_first], res[j]) == 0)
{
std::swap(res[new_last], res[j]);
++new_last;
}
}
if (new_last - new_first > 1)
{
new_ranges.emplace_back(new_first, new_last);
}
}
equal_range = std::move(new_ranges);
}
void ColumnArray::getPermutation(bool reverse, size_t limit, int nan_direction_hint, Permutation & res) const
{
if (reverse)
getPermutationImpl(limit, res, Cmp<false>(*this, nan_direction_hint));
else
getPermutationImpl(limit, res, Cmp<true>(*this, nan_direction_hint));
}
void ColumnArray::updatePermutation(bool reverse, size_t limit, int nan_direction_hint, Permutation & res, EqualRanges & equal_range) const
{
if (reverse)
updatePermutationImpl(limit, res, equal_range, Cmp<false>(*this, nan_direction_hint));
else
updatePermutationImpl(limit, res, equal_range, Cmp<true>(*this, nan_direction_hint));
}
void ColumnArray::getPermutationWithCollation(const Collator & collator, bool reverse, size_t limit, int nan_direction_hint, Permutation & res) const
{
if (reverse)
getPermutationImpl(limit, res, Cmp<false>(*this, nan_direction_hint, &collator));
else
getPermutationImpl(limit, res, Cmp<true>(*this, nan_direction_hint, &collator));
}
void ColumnArray::updatePermutationWithCollation(const Collator & collator, bool reverse, size_t limit, int nan_direction_hint, Permutation & res, EqualRanges & equal_range) const
{
if (reverse)
updatePermutationImpl(limit, res, equal_range, Cmp<false>(*this, nan_direction_hint, &collator));
else
updatePermutationImpl(limit, res, equal_range, Cmp<true>(*this, nan_direction_hint, &collator));
}
ColumnPtr ColumnArray::replicate(const Offsets & replicate_offsets) const
{
if (replicate_offsets.empty())
return cloneEmpty();
if (typeid_cast<const ColumnUInt8 *>(data.get())) return replicateNumber<UInt8>(replicate_offsets);
if (typeid_cast<const ColumnUInt16 *>(data.get())) return replicateNumber<UInt16>(replicate_offsets);
if (typeid_cast<const ColumnUInt32 *>(data.get())) return replicateNumber<UInt32>(replicate_offsets);
if (typeid_cast<const ColumnUInt64 *>(data.get())) return replicateNumber<UInt64>(replicate_offsets);
if (typeid_cast<const ColumnInt8 *>(data.get())) return replicateNumber<Int8>(replicate_offsets);
if (typeid_cast<const ColumnInt16 *>(data.get())) return replicateNumber<Int16>(replicate_offsets);
if (typeid_cast<const ColumnInt32 *>(data.get())) return replicateNumber<Int32>(replicate_offsets);
if (typeid_cast<const ColumnInt64 *>(data.get())) return replicateNumber<Int64>(replicate_offsets);
if (typeid_cast<const ColumnFloat32 *>(data.get())) return replicateNumber<Float32>(replicate_offsets);
if (typeid_cast<const ColumnFloat64 *>(data.get())) return replicateNumber<Float64>(replicate_offsets);
if (typeid_cast<const ColumnString *>(data.get())) return replicateString(replicate_offsets);
if (typeid_cast<const ColumnConst *>(data.get())) return replicateConst(replicate_offsets);
if (typeid_cast<const ColumnNullable *>(data.get())) return replicateNullable(replicate_offsets);
if (typeid_cast<const ColumnTuple *>(data.get())) return replicateTuple(replicate_offsets);
return replicateGeneric(replicate_offsets);
}
template <typename T>
ColumnPtr ColumnArray::replicateNumber(const Offsets & replicate_offsets) const
{
size_t col_size = size();
if (col_size != replicate_offsets.size())
throw Exception("Size of offsets doesn't match size of column.", ErrorCodes::SIZES_OF_COLUMNS_DOESNT_MATCH);
MutableColumnPtr res = cloneEmpty();
if (0 == col_size)
return res;
ColumnArray & res_arr = typeid_cast<ColumnArray &>(*res);
const typename ColumnVector<T>::Container & src_data = typeid_cast<const ColumnVector<T> &>(*data).getData();
const Offsets & src_offsets = getOffsets();
typename ColumnVector<T>::Container & res_data = typeid_cast<ColumnVector<T> &>(res_arr.getData()).getData();
Offsets & res_offsets = res_arr.getOffsets();
res_data.reserve(data->size() / col_size * replicate_offsets.back());
res_offsets.reserve(replicate_offsets.back());
Offset prev_replicate_offset = 0;
Offset prev_data_offset = 0;
Offset current_new_offset = 0;
for (size_t i = 0; i < col_size; ++i)
{
size_t size_to_replicate = replicate_offsets[i] - prev_replicate_offset;
size_t value_size = src_offsets[i] - prev_data_offset;
for (size_t j = 0; j < size_to_replicate; ++j)
{
current_new_offset += value_size;
res_offsets.push_back(current_new_offset);
if (value_size)
{
res_data.resize(res_data.size() + value_size);
memcpy(&res_data[res_data.size() - value_size], &src_data[prev_data_offset], value_size * sizeof(T));
}
}
prev_replicate_offset = replicate_offsets[i];
prev_data_offset = src_offsets[i];
}
return res;
}
ColumnPtr ColumnArray::replicateString(const Offsets & replicate_offsets) const
{
size_t col_size = size();
if (col_size != replicate_offsets.size())
throw Exception("Size of offsets doesn't match size of column.", ErrorCodes::SIZES_OF_COLUMNS_DOESNT_MATCH);
MutableColumnPtr res = cloneEmpty();
if (0 == col_size)
return res;
ColumnArray & res_arr = assert_cast<ColumnArray &>(*res);
const ColumnString & src_string = typeid_cast<const ColumnString &>(*data);
const ColumnString::Chars & src_chars = src_string.getChars();
const Offsets & src_string_offsets = src_string.getOffsets();
const Offsets & src_offsets = getOffsets();
ColumnString::Chars & res_chars = typeid_cast<ColumnString &>(res_arr.getData()).getChars();
Offsets & res_string_offsets = typeid_cast<ColumnString &>(res_arr.getData()).getOffsets();
Offsets & res_offsets = res_arr.getOffsets();
res_chars.reserve(src_chars.size() / col_size * replicate_offsets.back());
res_string_offsets.reserve(src_string_offsets.size() / col_size * replicate_offsets.back());
res_offsets.reserve(replicate_offsets.back());
Offset prev_replicate_offset = 0;
Offset prev_src_offset = 0;
Offset prev_src_string_offset = 0;
Offset current_res_offset = 0;
Offset current_res_string_offset = 0;
for (size_t i = 0; i < col_size; ++i)
{
/// How many times to replicate the array.
size_t size_to_replicate = replicate_offsets[i] - prev_replicate_offset;
/// The number of strings in the array.
size_t value_size = src_offsets[i] - prev_src_offset;
/// Number of characters in strings of the array, including zero bytes.
size_t sum_chars_size = src_string_offsets[prev_src_offset + value_size - 1] - prev_src_string_offset; /// -1th index is Ok, see PaddedPODArray.
for (size_t j = 0; j < size_to_replicate; ++j)
{
current_res_offset += value_size;
res_offsets.push_back(current_res_offset);
size_t prev_src_string_offset_local = prev_src_string_offset;
for (size_t k = 0; k < value_size; ++k)
{
/// Size of single string.
size_t chars_size = src_string_offsets[k + prev_src_offset] - prev_src_string_offset_local;
current_res_string_offset += chars_size;
res_string_offsets.push_back(current_res_string_offset);
prev_src_string_offset_local += chars_size;
}
if (sum_chars_size)
{
/// Copies the characters of the array of strings.
res_chars.resize(res_chars.size() + sum_chars_size);
memcpySmallAllowReadWriteOverflow15(
&res_chars[res_chars.size() - sum_chars_size], &src_chars[prev_src_string_offset], sum_chars_size);
}
}
prev_replicate_offset = replicate_offsets[i];
prev_src_offset = src_offsets[i];
prev_src_string_offset += sum_chars_size;
}
return res;
}
ColumnPtr ColumnArray::replicateConst(const Offsets & replicate_offsets) const
{
size_t col_size = size();
if (col_size != replicate_offsets.size())
throw Exception("Size of offsets doesn't match size of column.", ErrorCodes::SIZES_OF_COLUMNS_DOESNT_MATCH);
if (0 == col_size)
return cloneEmpty();
const Offsets & src_offsets = getOffsets();
auto res_column_offsets = ColumnOffsets::create();
Offsets & res_offsets = res_column_offsets->getData();
res_offsets.reserve(replicate_offsets.back());
Offset prev_replicate_offset = 0;
Offset prev_data_offset = 0;
Offset current_new_offset = 0;
for (size_t i = 0; i < col_size; ++i)
{
size_t size_to_replicate = replicate_offsets[i] - prev_replicate_offset;
size_t value_size = src_offsets[i] - prev_data_offset;
for (size_t j = 0; j < size_to_replicate; ++j)
{
current_new_offset += value_size;
res_offsets.push_back(current_new_offset);
}
prev_replicate_offset = replicate_offsets[i];
prev_data_offset = src_offsets[i];
}
return ColumnArray::create(getData().cloneResized(current_new_offset), std::move(res_column_offsets));
}
ColumnPtr ColumnArray::replicateGeneric(const Offsets & replicate_offsets) const
{
size_t col_size = size();
if (col_size != replicate_offsets.size())
throw Exception("Size of offsets doesn't match size of column.", ErrorCodes::SIZES_OF_COLUMNS_DOESNT_MATCH);
MutableColumnPtr res = cloneEmpty();
ColumnArray & res_concrete = assert_cast<ColumnArray &>(*res);
if (0 == col_size)
return res;
IColumn::Offset prev_offset = 0;
for (size_t i = 0; i < col_size; ++i)
{
size_t size_to_replicate = replicate_offsets[i] - prev_offset;
prev_offset = replicate_offsets[i];
for (size_t j = 0; j < size_to_replicate; ++j)
res_concrete.insertFrom(*this, i);
}
return res;
}
ColumnPtr ColumnArray::replicateNullable(const Offsets & replicate_offsets) const
{
const ColumnNullable & nullable = assert_cast<const ColumnNullable &>(*data);
/// Make temporary arrays for each components of Nullable. Then replicate them independently and collect back to result.
/// NOTE Offsets are calculated twice and it is redundant.
auto array_of_nested = ColumnArray(nullable.getNestedColumnPtr()->assumeMutable(), getOffsetsPtr()->assumeMutable())
.replicate(replicate_offsets);
auto array_of_null_map = ColumnArray(nullable.getNullMapColumnPtr()->assumeMutable(), getOffsetsPtr()->assumeMutable())
.replicate(replicate_offsets);
return ColumnArray::create(
ColumnNullable::create(
assert_cast<const ColumnArray &>(*array_of_nested).getDataPtr(),
assert_cast<const ColumnArray &>(*array_of_null_map).getDataPtr()),
assert_cast<const ColumnArray &>(*array_of_nested).getOffsetsPtr());
}
ColumnPtr ColumnArray::replicateTuple(const Offsets & replicate_offsets) const
{
const ColumnTuple & tuple = assert_cast<const ColumnTuple &>(*data);
/// Make temporary arrays for each components of Tuple. In the same way as for Nullable.
size_t tuple_size = tuple.tupleSize();
if (tuple_size == 0)
throw Exception("Logical error: empty tuple", ErrorCodes::LOGICAL_ERROR);
Columns temporary_arrays(tuple_size);
for (size_t i = 0; i < tuple_size; ++i)
temporary_arrays[i] = ColumnArray(tuple.getColumns()[i]->assumeMutable(), getOffsetsPtr()->assumeMutable())
.replicate(replicate_offsets);
Columns tuple_columns(tuple_size);
for (size_t i = 0; i < tuple_size; ++i)
tuple_columns[i] = assert_cast<const ColumnArray &>(*temporary_arrays[i]).getDataPtr();
return ColumnArray::create(
ColumnTuple::create(tuple_columns),
assert_cast<const ColumnArray &>(*temporary_arrays.front()).getOffsetsPtr());
}
void ColumnArray::gather(ColumnGathererStream & gatherer)
{
gatherer.gather(*this);
}
}
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