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9e21318834d5fd886def3cf4a81641f5d55ff8fd
doris/be/src/vec/olap/olap_data_convertor.cpp
lihangyu 9e21318834 [refactor](dynamic table) Make segment_writer unaware of dynamic schema, and ensure parsing is exception-safe. (#19594) 
1. make ColumnObject exception safe
2. introduce FlushContext and construct schema at memtable flush stage to make segment independent from dynamic schema
3. add more test cases
2023-06-01 10:25:04 +08:00

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// 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 "vec/olap/olap_data_convertor.h"
#include <new>
// IWYU pragma: no_include <opentelemetry/common/threadlocal.h>
#include "common/compiler_util.h" // IWYU pragma: keep
#include "common/config.h"
#include "olap/hll.h"
#include "olap/olap_common.h"
#include "olap/tablet_schema.h"
#include "runtime/decimalv2_value.h"
#include "util/bitmap_value.h"
#include "util/quantile_state.h"
#include "vec/aggregate_functions/aggregate_function.h"
#include "vec/columns/column.h"
#include "vec/columns/column_array.h"
#include "vec/columns/column_complex.h"
#include "vec/columns/column_decimal.h"
#include "vec/columns/column_map.h"
#include "vec/columns/column_struct.h"
#include "vec/columns/column_vector.h"
#include "vec/core/block.h"
#include "vec/data_types/data_type_array.h"
#include "vec/data_types/data_type_map.h"
#include "vec/data_types/data_type_nullable.h"
#include "vec/data_types/data_type_struct.h"
#include "vec/runtime/vdatetime_value.h"
namespace doris::vectorized {
OlapBlockDataConvertor::OlapBlockDataConvertor(const TabletSchema* tablet_schema) {
assert(tablet_schema);
const auto& columns = tablet_schema->columns();
for (const auto& col : columns) {
_convertors.emplace_back(create_olap_column_data_convertor(col));
}
}
OlapBlockDataConvertor::OlapBlockDataConvertor(const TabletSchema* tablet_schema,
const std::vector<uint32_t>& col_ids) {
assert(tablet_schema);
for (const auto& id : col_ids) {
const auto& col = tablet_schema->column(id);
_convertors.emplace_back(create_olap_column_data_convertor(col));
}
}
void OlapBlockDataConvertor::add_column_data_convertor(const TabletColumn& column) {
_convertors.emplace_back(create_olap_column_data_convertor(column));
}
OlapBlockDataConvertor::OlapColumnDataConvertorBaseUPtr
OlapBlockDataConvertor::create_olap_column_data_convertor(const TabletColumn& column) {
switch (column.type()) {
case FieldType::OLAP_FIELD_TYPE_OBJECT: {
return std::make_unique<OlapColumnDataConvertorBitMap>();
}
case FieldType::OLAP_FIELD_TYPE_QUANTILE_STATE: {
return std::make_unique<OlapColumnDataConvertorQuantileState>();
}
case FieldType::OLAP_FIELD_TYPE_AGG_STATE: {
return std::make_unique<OlapColumnDataConvertorVarChar>(false);
}
case FieldType::OLAP_FIELD_TYPE_HLL: {
return std::make_unique<OlapColumnDataConvertorHLL>();
}
case FieldType::OLAP_FIELD_TYPE_CHAR: {
return std::make_unique<OlapColumnDataConvertorChar>(column.length());
}
case FieldType::OLAP_FIELD_TYPE_VARCHAR: {
return std::make_unique<OlapColumnDataConvertorVarChar>(false);
}
case FieldType::OLAP_FIELD_TYPE_STRING: {
return std::make_unique<OlapColumnDataConvertorVarChar>(true);
}
case FieldType::OLAP_FIELD_TYPE_DATE: {
return std::make_unique<OlapColumnDataConvertorDate>();
}
case FieldType::OLAP_FIELD_TYPE_DATETIME: {
return std::make_unique<OlapColumnDataConvertorDateTime>();
}
case FieldType::OLAP_FIELD_TYPE_DATEV2: {
return std::make_unique<OlapColumnDataConvertorDateV2>();
break;
}
case FieldType::OLAP_FIELD_TYPE_DATETIMEV2: {
return std::make_unique<OlapColumnDataConvertorDateTimeV2>();
break;
}
case FieldType::OLAP_FIELD_TYPE_DECIMAL: {
return std::make_unique<OlapColumnDataConvertorDecimal>();
}
case FieldType::OLAP_FIELD_TYPE_DECIMAL32: {
return std::make_unique<OlapColumnDataConvertorDecimalV3<Decimal32>>();
}
case FieldType::OLAP_FIELD_TYPE_DECIMAL64: {
return std::make_unique<OlapColumnDataConvertorDecimalV3<Decimal64>>();
}
case FieldType::OLAP_FIELD_TYPE_DECIMAL128I: {
return std::make_unique<OlapColumnDataConvertorDecimalV3<Decimal128I>>();
}
case FieldType::OLAP_FIELD_TYPE_JSONB: {
return std::make_unique<OlapColumnDataConvertorVarChar>(true);
}
case FieldType::OLAP_FIELD_TYPE_BOOL: {
return std::make_unique<OlapColumnDataConvertorSimple<vectorized::UInt8>>();
}
case FieldType::OLAP_FIELD_TYPE_TINYINT: {
return std::make_unique<OlapColumnDataConvertorSimple<vectorized::Int8>>();
}
case FieldType::OLAP_FIELD_TYPE_SMALLINT: {
return std::make_unique<OlapColumnDataConvertorSimple<vectorized::Int16>>();
}
case FieldType::OLAP_FIELD_TYPE_INT: {
return std::make_unique<OlapColumnDataConvertorSimple<vectorized::Int32>>();
}
case FieldType::OLAP_FIELD_TYPE_BIGINT: {
return std::make_unique<OlapColumnDataConvertorSimple<vectorized::Int64>>();
}
case FieldType::OLAP_FIELD_TYPE_LARGEINT: {
return std::make_unique<OlapColumnDataConvertorSimple<vectorized::Int128>>();
}
case FieldType::OLAP_FIELD_TYPE_FLOAT: {
return std::make_unique<OlapColumnDataConvertorSimple<vectorized::Float32>>();
}
case FieldType::OLAP_FIELD_TYPE_DOUBLE: {
return std::make_unique<OlapColumnDataConvertorSimple<vectorized::Float64>>();
}
case FieldType::OLAP_FIELD_TYPE_STRUCT: {
std::vector<OlapColumnDataConvertorBaseUPtr> sub_convertors;
for (uint32_t i = 0; i < column.get_subtype_count(); i++) {
const TabletColumn& sub_column = column.get_sub_column(i);
sub_convertors.emplace_back(create_olap_column_data_convertor(sub_column));
}
return std::make_unique<OlapColumnDataConvertorStruct>(sub_convertors);
}
case FieldType::OLAP_FIELD_TYPE_ARRAY: {
const auto& sub_column = column.get_sub_column(0);
return std::make_unique<OlapColumnDataConvertorArray>(
create_olap_column_data_convertor(sub_column));
}
case FieldType::OLAP_FIELD_TYPE_MAP: {
const auto& key_column = column.get_sub_column(0);
const auto& value_column = column.get_sub_column(1);
return std::make_unique<OlapColumnDataConvertorMap>(
create_olap_column_data_convertor(key_column),
create_olap_column_data_convertor(value_column));
}
default: {
DCHECK(false) << "Invalid type in olap data convertor:" << int(column.type());
return nullptr;
}
}
} // namespace doris::vectorized
void OlapBlockDataConvertor::set_source_content(const vectorized::Block* block, size_t row_pos,
size_t num_rows) {
assert(block && num_rows > 0 && row_pos + num_rows <= block->rows() &&
block->columns() == _convertors.size());
size_t cid = 0;
for (const auto& typed_column : *block) {
_convertors[cid]->set_source_column(typed_column, row_pos, num_rows);
++cid;
}
}
void OlapBlockDataConvertor::set_source_content_with_specifid_columns(
const vectorized::Block* block, size_t row_pos, size_t num_rows,
std::vector<uint32_t> cids) {
assert(block && num_rows > 0 && row_pos + num_rows <= block->rows() &&
block->columns() <= _convertors.size());
for (auto i : cids) {
_convertors[i]->set_source_column(block->get_by_position(i), row_pos, num_rows);
}
}
void OlapBlockDataConvertor::clear_source_content() {
for (auto& convertor : _convertors) {
convertor->clear_source_column();
}
}
std::pair<Status, IOlapColumnDataAccessor*> OlapBlockDataConvertor::convert_column_data(
size_t cid) {
assert(cid < _convertors.size());
auto status = _convertors[cid]->convert_to_olap();
return {status, _convertors[cid].get()};
}
// class OlapBlockDataConvertor::OlapColumnDataConvertorBase
void OlapBlockDataConvertor::OlapColumnDataConvertorBase::set_source_column(
const ColumnWithTypeAndName& typed_column, size_t row_pos, size_t num_rows) {
DCHECK(row_pos + num_rows <= typed_column.column->size())
<< "row_pos=" << row_pos << ", num_rows=" << num_rows
<< ", typed_column.column->size()=" << typed_column.column->size();
_typed_column = typed_column;
_row_pos = row_pos;
_num_rows = num_rows;
if (_typed_column.column->is_nullable()) {
auto nullable_column =
assert_cast<const vectorized::ColumnNullable*>(_typed_column.column.get());
_nullmap = nullable_column->get_null_map_data().data();
}
}
void OlapBlockDataConvertor::OlapColumnDataConvertorBase::clear_source_column() {
// just to reduce the source column's ref count to 1
_typed_column.column = nullptr;
_nullmap = nullptr;
}
// Obtain the converted nullmap with an offset of _row_pos.
// This should be called only in SegmentWriter and `get_data_at` in Convertor.
// If you want to access origin nullmap without offset, use `_nullmap` directly.
const UInt8* OlapBlockDataConvertor::OlapColumnDataConvertorBase::get_nullmap() const {
assert(_typed_column.column);
return _nullmap ? _nullmap + _row_pos : nullptr;
}
// class OlapBlockDataConvertor::OlapColumnDataConvertorObject
void OlapBlockDataConvertor::OlapColumnDataConvertorObject::set_source_column(
const ColumnWithTypeAndName& typed_column, size_t row_pos, size_t num_rows) {
OlapBlockDataConvertor::OlapColumnDataConvertorBase::set_source_column(typed_column, row_pos,
num_rows);
_raw_data.clear();
_slice.resize(num_rows);
}
const void* OlapBlockDataConvertor::OlapColumnDataConvertorObject::get_data() const {
return _slice.data();
}
const void* OlapBlockDataConvertor::OlapColumnDataConvertorObject::get_data_at(
size_t offset) const {
UInt8 null_flag = 0;
if (get_nullmap()) {
null_flag = get_nullmap()[offset];
}
return null_flag ? nullptr : _slice.data() + offset;
}
Status OlapBlockDataConvertor::OlapColumnDataConvertorBitMap::convert_to_olap() {
assert(_typed_column.column);
const vectorized::ColumnBitmap* column_bitmap = nullptr;
if (_nullmap) {
auto nullable_column =
assert_cast<const vectorized::ColumnNullable*>(_typed_column.column.get());
column_bitmap = assert_cast<const vectorized::ColumnBitmap*>(
nullable_column->get_nested_column_ptr().get());
} else {
column_bitmap = assert_cast<const vectorized::ColumnBitmap*>(_typed_column.column.get());
}
assert(column_bitmap);
BitmapValue* bitmap_value =
const_cast<BitmapValue*>(column_bitmap->get_data().data() + _row_pos);
BitmapValue* bitmap_value_cur = bitmap_value;
BitmapValue* bitmap_value_end = bitmap_value_cur + _num_rows;
size_t total_size = 0;
if (_nullmap) {
const UInt8* nullmap_cur = _nullmap + _row_pos;
while (bitmap_value_cur != bitmap_value_end) {
if (!*nullmap_cur) {
total_size += bitmap_value_cur->getSizeInBytes();
}
++nullmap_cur;
++bitmap_value_cur;
}
} else {
while (bitmap_value_cur != bitmap_value_end) {
total_size += bitmap_value_cur->getSizeInBytes();
++bitmap_value_cur;
}
}
_raw_data.resize(total_size);
bitmap_value_cur = bitmap_value;
size_t slice_size;
char* raw_data = _raw_data.data();
Slice* slice = _slice.data();
if (_nullmap) {
const UInt8* nullmap_cur = _nullmap + _row_pos;
while (bitmap_value_cur != bitmap_value_end) {
if (!*nullmap_cur) {
slice_size = bitmap_value_cur->getSizeInBytes();
bitmap_value_cur->write_to(raw_data);
slice->data = raw_data;
slice->size = slice_size;
raw_data += slice_size;
} else {
// TODO: this may not be necessary, check and remove later
slice->data = nullptr;
slice->size = 0;
}
++slice;
++nullmap_cur;
++bitmap_value_cur;
}
assert(nullmap_cur == _nullmap + _row_pos + _num_rows && slice == _slice.get_end_ptr());
} else {
while (bitmap_value_cur != bitmap_value_end) {
slice_size = bitmap_value_cur->getSizeInBytes();
bitmap_value_cur->write_to(raw_data);
slice->data = raw_data;
slice->size = slice_size;
raw_data += slice_size;
++slice;
++bitmap_value_cur;
}
assert(slice == _slice.get_end_ptr());
}
return Status::OK();
}
Status OlapBlockDataConvertor::OlapColumnDataConvertorQuantileState::convert_to_olap() {
assert(_typed_column.column);
const vectorized::ColumnQuantileStateDouble* column_quantile_state = nullptr;
if (_nullmap) {
auto nullable_column =
assert_cast<const vectorized::ColumnNullable*>(_typed_column.column.get());
column_quantile_state = assert_cast<const vectorized::ColumnQuantileStateDouble*>(
nullable_column->get_nested_column_ptr().get());
} else {
column_quantile_state = assert_cast<const vectorized::ColumnQuantileStateDouble*>(
_typed_column.column.get());
}
assert(column_quantile_state);
QuantileStateDouble* quantile_state =
const_cast<QuantileStateDouble*>(column_quantile_state->get_data().data() + _row_pos);
QuantileStateDouble* quantile_state_cur = quantile_state;
QuantileStateDouble* quantile_state_end = quantile_state_cur + _num_rows;
size_t total_size = 0;
if (_nullmap) {
const UInt8* nullmap_cur = _nullmap + _row_pos;
while (quantile_state_cur != quantile_state_end) {
if (!*nullmap_cur) {
total_size += quantile_state_cur->get_serialized_size();
}
++nullmap_cur;
++quantile_state_cur;
}
} else {
while (quantile_state_cur != quantile_state_end) {
total_size += quantile_state_cur->get_serialized_size();
++quantile_state_cur;
}
}
_raw_data.resize(total_size);
quantile_state_cur = quantile_state;
size_t slice_size;
char* raw_data = _raw_data.data();
Slice* slice = _slice.data();
if (_nullmap) {
const UInt8* nullmap_cur = _nullmap + _row_pos;
while (quantile_state_cur != quantile_state_end) {
if (!*nullmap_cur) {
slice_size = quantile_state_cur->get_serialized_size();
quantile_state_cur->serialize((uint8_t*)raw_data);
slice->data = raw_data;
slice->size = slice_size;
raw_data += slice_size;
} else {
// TODO: this may not be necessary, check and remove later
slice->data = nullptr;
slice->size = 0;
}
++slice;
++nullmap_cur;
++quantile_state_cur;
}
assert(nullmap_cur == _nullmap + _row_pos + _num_rows && slice == _slice.get_end_ptr());
} else {
while (quantile_state_cur != quantile_state_end) {
slice_size = quantile_state_cur->get_serialized_size();
quantile_state_cur->serialize((uint8_t*)raw_data);
slice->data = raw_data;
slice->size = slice_size;
raw_data += slice_size;
++slice;
++quantile_state_cur;
}
assert(slice == _slice.get_end_ptr());
}
return Status::OK();
}
Status OlapBlockDataConvertor::OlapColumnDataConvertorHLL::convert_to_olap() {
assert(_typed_column.column);
const vectorized::ColumnHLL* column_hll = nullptr;
if (_nullmap) {
auto nullable_column =
assert_cast<const vectorized::ColumnNullable*>(_typed_column.column.get());
column_hll = assert_cast<const vectorized::ColumnHLL*>(
nullable_column->get_nested_column_ptr().get());
} else {
column_hll = assert_cast<const vectorized::ColumnHLL*>(_typed_column.column.get());
}
assert(column_hll);
HyperLogLog* hll_value = const_cast<HyperLogLog*>(column_hll->get_data().data() + _row_pos);
HyperLogLog* hll_value_cur = hll_value;
HyperLogLog* hll_value_end = hll_value_cur + _num_rows;
size_t total_size = 0;
if (_nullmap) {
const UInt8* nullmap_cur = _nullmap + _row_pos;
while (hll_value_cur != hll_value_end) {
if (!*nullmap_cur) {
total_size += hll_value_cur->max_serialized_size();
}
++nullmap_cur;
++hll_value_cur;
}
} else {
while (hll_value_cur != hll_value_end) {
total_size += hll_value_cur->max_serialized_size();
++hll_value_cur;
}
}
_raw_data.resize(total_size);
size_t slice_size;
char* raw_data = _raw_data.data();
Slice* slice = _slice.data();
hll_value_cur = hll_value;
if (_nullmap) {
const UInt8* nullmap_cur = _nullmap + _row_pos;
while (hll_value_cur != hll_value_end) {
if (!*nullmap_cur) {
slice_size = hll_value_cur->serialize((uint8_t*)raw_data);
slice->data = raw_data;
slice->size = slice_size;
raw_data += slice_size;
} else {
// TODO: this may not be necessary, check and remove later
slice->data = nullptr;
slice->size = 0;
}
++slice;
++nullmap_cur;
++hll_value_cur;
}
assert(nullmap_cur == _nullmap + _row_pos + _num_rows && slice == _slice.get_end_ptr());
} else {
while (hll_value_cur != hll_value_end) {
slice_size = hll_value_cur->serialize((uint8_t*)raw_data);
slice->data = raw_data;
slice->size = slice_size;
raw_data += slice_size;
++slice;
++hll_value_cur;
}
assert(slice == _slice.get_end_ptr());
}
return Status::OK();
}
// class OlapBlockDataConvertor::OlapColumnDataConvertorChar
OlapBlockDataConvertor::OlapColumnDataConvertorChar::OlapColumnDataConvertorChar(size_t length)
: _length(length) {
assert(length > 0);
}
void OlapBlockDataConvertor::OlapColumnDataConvertorChar::set_source_column(
const ColumnWithTypeAndName& typed_column, size_t row_pos, size_t num_rows) {
OlapBlockDataConvertor::OlapColumnDataConvertorBase::set_source_column(typed_column, row_pos,
num_rows);
_slice.resize(num_rows);
}
const void* OlapBlockDataConvertor::OlapColumnDataConvertorChar::get_data() const {
return _slice.data();
}
const void* OlapBlockDataConvertor::OlapColumnDataConvertorChar::get_data_at(size_t offset) const {
UInt8 null_flag = 0;
if (get_nullmap()) {
null_flag = get_nullmap()[offset];
}
return null_flag ? nullptr : _slice.data() + offset;
}
Status OlapBlockDataConvertor::OlapColumnDataConvertorChar::convert_to_olap() {
assert(_typed_column.column);
const vectorized::ColumnString* column_string = nullptr;
if (_nullmap) {
auto nullable_column =
assert_cast<const vectorized::ColumnNullable*>(_typed_column.column.get());
column_string = assert_cast<const vectorized::ColumnString*>(
nullable_column->get_nested_column_ptr().get());
} else {
column_string = assert_cast<const vectorized::ColumnString*>(_typed_column.column.get());
}
// If column_string is not padded to full, we should do padding here.
if (should_padding(column_string, _length)) {
_column = clone_and_padding(column_string, _length);
column_string = assert_cast<const vectorized::ColumnString*>(_column.get());
}
for (size_t i = 0; i < _num_rows; i++) {
if (!_nullmap || !_nullmap[i + _row_pos]) {
_slice[i] = column_string->get_data_at(i + _row_pos).to_slice();
DCHECK(_slice[i].size == _length)
<< "char type data length not equal to schema, schema=" << _length
<< ", real=" << _slice[i].size;
}
}
return Status::OK();
}
// class OlapBlockDataConvertor::OlapColumnDataConvertorVarChar
OlapBlockDataConvertor::OlapColumnDataConvertorVarChar::OlapColumnDataConvertorVarChar(
bool check_length)
: _check_length(check_length) {}
void OlapBlockDataConvertor::OlapColumnDataConvertorVarChar::set_source_column(
const ColumnWithTypeAndName& typed_column, size_t row_pos, size_t num_rows) {
OlapBlockDataConvertor::OlapColumnDataConvertorBase::set_source_column(typed_column, row_pos,
num_rows);
_slice.resize(num_rows);
}
const void* OlapBlockDataConvertor::OlapColumnDataConvertorVarChar::get_data() const {
return _slice.data();
}
const void* OlapBlockDataConvertor::OlapColumnDataConvertorVarChar::get_data_at(
size_t offset) const {
assert(offset < _slice.size());
UInt8 null_flag = 0;
if (get_nullmap()) {
null_flag = get_nullmap()[offset];
}
return null_flag ? nullptr : _slice.data() + offset;
}
Status OlapBlockDataConvertor::OlapColumnDataConvertorVarChar::convert_to_olap() {
assert(_typed_column.column);
const vectorized::ColumnString* column_string = nullptr;
if (_nullmap) {
auto nullable_column =
assert_cast<const vectorized::ColumnNullable*>(_typed_column.column.get());
column_string = assert_cast<const vectorized::ColumnString*>(
nullable_column->get_nested_column_ptr().get());
} else {
column_string = assert_cast<const vectorized::ColumnString*>(_typed_column.column.get());
}
assert(column_string);
const char* char_data = (const char*)(column_string->get_chars().data());
const ColumnString::Offset* offset_cur = column_string->get_offsets().data() + _row_pos;
const ColumnString::Offset* offset_end = offset_cur + _num_rows;
Slice* slice = _slice.data();
size_t string_offset = *(offset_cur - 1);
if (_nullmap) {
const UInt8* nullmap_cur = _nullmap + _row_pos;
while (offset_cur != offset_end) {
if (!*nullmap_cur) {
slice->data = const_cast<char*>(char_data + string_offset);
slice->size = *offset_cur - string_offset;
if (UNLIKELY(slice->size > config::string_type_length_soft_limit_bytes &&
_check_length)) {
return Status::NotSupported(
"Not support string len over than "
"`string_type_length_soft_limit_bytes` in vec engine.");
}
} else {
// TODO: this may not be necessary, check and remove later
slice->data = nullptr;
slice->size = 0;
}
string_offset = *offset_cur;
++nullmap_cur;
++slice;
++offset_cur;
}
assert(nullmap_cur == _nullmap + _row_pos + _num_rows && slice == _slice.get_end_ptr());
} else {
while (offset_cur != offset_end) {
slice->data = const_cast<char*>(char_data + string_offset);
slice->size = *offset_cur - string_offset;
if (UNLIKELY(slice->size > config::string_type_length_soft_limit_bytes &&
_check_length)) {
return Status::NotSupported(
"Not support string len over than `string_type_length_soft_limit_bytes`"
" in vec engine.");
}
string_offset = *offset_cur;
++slice;
++offset_cur;
}
assert(slice == _slice.get_end_ptr());
}
return Status::OK();
}
void OlapBlockDataConvertor::OlapColumnDataConvertorDate::set_source_column(
const ColumnWithTypeAndName& typed_column, size_t row_pos, size_t num_rows) {
OlapBlockDataConvertor::OlapColumnDataConvertorPaddedPODArray<uint24_t>::set_source_column(
typed_column, row_pos, num_rows);
}
Status OlapBlockDataConvertor::OlapColumnDataConvertorDate::convert_to_olap() {
assert(_typed_column.column);
const vectorized::ColumnVector<vectorized::Int64>* column_datetime = nullptr;
if (_nullmap) {
auto nullable_column =
assert_cast<const vectorized::ColumnNullable*>(_typed_column.column.get());
column_datetime = assert_cast<const vectorized::ColumnVector<vectorized::Int64>*>(
nullable_column->get_nested_column_ptr().get());
} else {
column_datetime = assert_cast<const vectorized::ColumnVector<vectorized::Int64>*>(
_typed_column.column.get());
}
assert(column_datetime);
const VecDateTimeValue* datetime_cur =
(const VecDateTimeValue*)(column_datetime->get_data().data()) + _row_pos;
const VecDateTimeValue* datetime_end = datetime_cur + _num_rows;
uint24_t* value = _values.data();
if (_nullmap) {
const UInt8* nullmap_cur = _nullmap + _row_pos;
while (datetime_cur != datetime_end) {
if (!*nullmap_cur) {
*value = datetime_cur->to_olap_date();
} else {
// do nothing
}
++value;
++datetime_cur;
++nullmap_cur;
}
assert(nullmap_cur == _nullmap + _row_pos + _num_rows && value == _values.get_end_ptr());
} else {
while (datetime_cur != datetime_end) {
*value = datetime_cur->to_olap_date();
++value;
++datetime_cur;
}
assert(value == _values.get_end_ptr());
}
return Status::OK();
}
void OlapBlockDataConvertor::OlapColumnDataConvertorDateTime::set_source_column(
const ColumnWithTypeAndName& typed_column, size_t row_pos, size_t num_rows) {
OlapBlockDataConvertor::OlapColumnDataConvertorPaddedPODArray<uint64_t>::set_source_column(
typed_column, row_pos, num_rows);
}
Status OlapBlockDataConvertor::OlapColumnDataConvertorDateTime::convert_to_olap() {
assert(_typed_column.column);
const vectorized::ColumnVector<vectorized::Int64>* column_datetime = nullptr;
if (_nullmap) {
auto nullable_column =
assert_cast<const vectorized::ColumnNullable*>(_typed_column.column.get());
column_datetime = assert_cast<const vectorized::ColumnVector<vectorized::Int64>*>(
nullable_column->get_nested_column_ptr().get());
} else {
column_datetime = assert_cast<const vectorized::ColumnVector<vectorized::Int64>*>(
_typed_column.column.get());
}
assert(column_datetime);
const VecDateTimeValue* datetime_cur =
(const VecDateTimeValue*)(column_datetime->get_data().data()) + _row_pos;
const VecDateTimeValue* datetime_end = datetime_cur + _num_rows;
uint64_t* value = _values.data();
if (_nullmap) {
const UInt8* nullmap_cur = _nullmap + _row_pos;
while (datetime_cur != datetime_end) {
if (!*nullmap_cur) {
*value = datetime_cur->to_olap_datetime();
} else {
// do nothing
}
++value;
++datetime_cur;
++nullmap_cur;
}
assert(nullmap_cur == _nullmap + _row_pos + _num_rows && value == _values.get_end_ptr());
} else {
while (datetime_cur != datetime_end) {
*value = datetime_cur->to_olap_datetime();
++value;
++datetime_cur;
}
assert(value == _values.get_end_ptr());
}
return Status::OK();
}
Status OlapBlockDataConvertor::OlapColumnDataConvertorDecimal::convert_to_olap() {
assert(_typed_column.column);
const vectorized::ColumnDecimal<vectorized::Decimal128>* column_decimal = nullptr;
if (_nullmap) {
auto nullable_column =
assert_cast<const vectorized::ColumnNullable*>(_typed_column.column.get());
column_decimal = assert_cast<const vectorized::ColumnDecimal<vectorized::Decimal128>*>(
nullable_column->get_nested_column_ptr().get());
} else {
column_decimal = assert_cast<const vectorized::ColumnDecimal<vectorized::Decimal128>*>(
_typed_column.column.get());
}
assert(column_decimal);
const DecimalV2Value* decimal_cur =
(const DecimalV2Value*)(column_decimal->get_data().data()) + _row_pos;
const DecimalV2Value* decimal_end = decimal_cur + _num_rows;
decimal12_t* value = _values.data();
if (_nullmap) {
const UInt8* nullmap_cur = _nullmap + _row_pos;
while (decimal_cur != decimal_end) {
if (!*nullmap_cur) {
value->integer = decimal_cur->int_value();
value->fraction = decimal_cur->frac_value();
} else {
// do nothing
}
++value;
++decimal_cur;
++nullmap_cur;
}
assert(nullmap_cur == _nullmap + _row_pos + _num_rows && value == _values.get_end_ptr());
} else {
while (decimal_cur != decimal_end) {
value->integer = decimal_cur->int_value();
value->fraction = decimal_cur->frac_value();
++value;
++decimal_cur;
}
assert(value == _values.get_end_ptr());
}
return Status::OK();
}
void OlapBlockDataConvertor::OlapColumnDataConvertorStruct::set_source_column(
const ColumnWithTypeAndName& typed_column, size_t row_pos, size_t num_rows) {
OlapBlockDataConvertor::OlapColumnDataConvertorBase::set_source_column(typed_column, row_pos,
num_rows);
}
const void* OlapBlockDataConvertor::OlapColumnDataConvertorStruct::get_data() const {
return _results.data();
}
const void* OlapBlockDataConvertor::OlapColumnDataConvertorStruct::get_data_at(
size_t offset) const {
// Todo(xy): struct not supported
return nullptr;
}
Status OlapBlockDataConvertor::OlapColumnDataConvertorStruct::convert_to_olap() {
assert(_typed_column.column);
const vectorized::ColumnStruct* column_struct = nullptr;
const vectorized::DataTypeStruct* data_type_struct = nullptr;
if (_nullmap) {
auto nullable_column =
assert_cast<const vectorized::ColumnNullable*>(_typed_column.column.get());
column_struct = assert_cast<const vectorized::ColumnStruct*>(
nullable_column->get_nested_column_ptr().get());
data_type_struct = assert_cast<const DataTypeStruct*>(
(assert_cast<const DataTypeNullable*>(_typed_column.type.get())->get_nested_type())
.get());
} else {
column_struct = assert_cast<const vectorized::ColumnStruct*>(_typed_column.column.get());
data_type_struct = assert_cast<const DataTypeStruct*>(_typed_column.type.get());
}
assert(column_struct);
assert(data_type_struct);
size_t fields_num = column_struct->tuple_size();
size_t data_cursor = 0;
size_t null_map_cursor = data_cursor + fields_num;
for (size_t i = 0; i < fields_num; i++) {
ColumnPtr sub_column = column_struct->get_column_ptr(i);
DataTypePtr sub_type = data_type_struct->get_element(i);
ColumnWithTypeAndName sub_typed_column = {sub_column, sub_type, ""};
_sub_convertors[i]->set_source_column(sub_typed_column, _row_pos, _num_rows);
RETURN_IF_ERROR(_sub_convertors[i]->convert_to_olap());
_results[data_cursor] = _sub_convertors[i]->get_data();
_results[null_map_cursor] = _sub_convertors[i]->get_nullmap();
data_cursor++;
null_map_cursor++;
}
return Status::OK();
}
Status OlapBlockDataConvertor::OlapColumnDataConvertorArray::convert_to_olap() {
const ColumnArray* column_array = nullptr;
const DataTypeArray* data_type_array = nullptr;
if (_nullmap) {
const auto* nullable_column =
assert_cast<const ColumnNullable*>(_typed_column.column.get());
column_array =
assert_cast<const ColumnArray*>(nullable_column->get_nested_column_ptr().get());
data_type_array = assert_cast<const DataTypeArray*>(
(assert_cast<const DataTypeNullable*>(_typed_column.type.get())->get_nested_type())
.get());
} else {
column_array = assert_cast<const ColumnArray*>(_typed_column.column.get());
data_type_array = assert_cast<const DataTypeArray*>(_typed_column.type.get());
}
assert(column_array);
assert(data_type_array);
return convert_to_olap(_nullmap, column_array, data_type_array);
}
Status OlapBlockDataConvertor::OlapColumnDataConvertorArray::convert_to_olap(
const UInt8* null_map, const ColumnArray* column_array,
const DataTypeArray* data_type_array) {
const UInt8* item_null_map = nullptr;
ColumnPtr item_data = column_array->get_data_ptr();
if (column_array->get_data().is_nullable()) {
const auto& data_nullable_column =
assert_cast<const ColumnNullable&>(column_array->get_data());
item_null_map = data_nullable_column.get_null_map_data().data();
item_data = data_nullable_column.get_nested_column_ptr();
}
const auto& offsets = column_array->get_offsets();
int64_t start_index = _row_pos - 1;
int64_t end_index = _row_pos + _num_rows - 1;
auto start = offsets[start_index];
auto size = offsets[end_index] - start;
ColumnWithTypeAndName item_typed_column = {
item_data, remove_nullable(data_type_array->get_nested_type()), ""};
_item_convertor->set_source_column(item_typed_column, start, size);
RETURN_IF_ERROR(_item_convertor->convert_to_olap());
CollectionValue* collection_value = _values.data();
for (size_t i = 0; i < _num_rows; ++i, ++collection_value) {
int64_t cur_pos = _row_pos + i;
int64_t prev_pos = cur_pos - 1;
if (_nullmap && _nullmap[cur_pos]) {
continue;
}
auto offset = offsets[prev_pos];
auto size = offsets[cur_pos] - offsets[prev_pos];
new (collection_value) CollectionValue(size);
if (size == 0) {
continue;
}
if (column_array->get_data().is_nullable()) {
collection_value->set_has_null(true);
collection_value->set_null_signs(
const_cast<bool*>(reinterpret_cast<const bool*>(item_null_map + offset)));
}
// get_data_at should use offset - offsets[start_index] since
// start_index may be changed after OlapColumnDataConvertorArray::set_source_column.
// Using just offset may access the memory out of _item_convertor's data range,
collection_value->set_data(
const_cast<void*>(_item_convertor->get_data_at(offset - offsets[start_index])));
}
return Status::OK();
}
Status OlapBlockDataConvertor::OlapColumnDataConvertorMap::convert_to_olap() {
const ColumnMap* column_map = nullptr;
const DataTypeMap* data_type_map = nullptr;
if (_nullmap) {
const auto* nullable_column =
assert_cast<const ColumnNullable*>(_typed_column.column.get());
column_map = assert_cast<const ColumnMap*>(nullable_column->get_nested_column_ptr().get());
data_type_map = assert_cast<const DataTypeMap*>(
(assert_cast<const DataTypeNullable*>(_typed_column.type.get())->get_nested_type())
.get());
} else {
column_map = assert_cast<const ColumnMap*>(_typed_column.column.get());
data_type_map = assert_cast<const DataTypeMap*>(_typed_column.type.get());
}
assert(column_map);
assert(data_type_map);
return convert_to_olap(column_map, data_type_map);
}
Status OlapBlockDataConvertor::OlapColumnDataConvertorMap::convert_to_olap(
const ColumnMap* column_map, const DataTypeMap* data_type_map) {
ColumnPtr key_data = column_map->get_keys_ptr();
ColumnPtr value_data = column_map->get_values_ptr();
// NOTICE here are two situation:
// 1. Multi-SegmentWriter with different olap_convertor to convert same column_map(in memory which is from same block)
// eg: Block(6 row): column_map offsets in memory: [10, 21, 33, 43, 54, 66]
// After SegmentWriter1 with olap_convertor1 deal with first 3 rows: _offsets(pre-disk)=[0, 10, 21], _base_offset=33
// then SegmentWriter may flush data (see BetaRowsetWriter::_add_block(max_row_add < 1))
// ColumnWriter will flush offset array to disk [0, 10, 21, 33]
// --------- ----
// |--_offsets |--set_next_array_item_ordinal(_kv_writers[0]->get_next_rowid())
// new SegmentWriter2 with olap_convertor2 deal with next map offsets [43, 54, 66]
// but in disk here is new segment file offset should start with 0, so after convert:
// _offsets(pre-disk)=[0, 10, 21], _base_row=33, After flush data finally in disk: [0, 10, 21, 33]
//2. One-SegmentWriter with olap_convertor to convertor different blocks into one page
// eg: Two blocks -> block1 [10, 21, 33] and block2 [1, 3, 6]
// After first convert: _offsets_1(pre-disk)=[0, 10, 21], _base_row=33, without flush, just append to page,
// then deal with coming block2, after current convert:
// _offsets_2=[33, 34, 36], _base_offset=39
// if we flush here, finally in disk offsets:[0, 10, 21, 33, 34, 36, 39]
// ---------- ---------- ---
// |--_offsets_1 |--_offsets_2 |--set_next_array_item_ordinal(_kv_writers[0]->get_next_rowid())
auto start_offset = column_map->offset_at(_row_pos);
auto end_offset = column_map->offset_at(_row_pos + _num_rows);
auto elem_size = end_offset - start_offset;
_offsets.clear();
_offsets.reserve(_num_rows);
for (int i = 0; i < _num_rows; ++i) {
_offsets.push_back(column_map->offset_at(i + _row_pos) - start_offset + _base_offset);
}
_base_offset += elem_size;
ColumnWithTypeAndName key_typed_column = {key_data, data_type_map->get_key_type(), "map.key"};
_key_convertor->set_source_column(key_typed_column, start_offset, elem_size);
RETURN_IF_ERROR(_key_convertor->convert_to_olap());
ColumnWithTypeAndName value_typed_column = {value_data, data_type_map->get_value_type(),
"map.value"};
_value_convertor->set_source_column(value_typed_column, start_offset, elem_size);
RETURN_IF_ERROR(_value_convertor->convert_to_olap());
// todo (Amory). put this value into MapValue
_results[0] = (void*)elem_size;
_results[1] = _offsets.data();
_results[2] = _key_convertor->get_data();
_results[3] = _value_convertor->get_data();
_results[4] = _key_convertor->get_nullmap();
_results[5] = _value_convertor->get_nullmap();
return Status::OK();
}
} // namespace doris::vectorized
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