blob: 60740f48dce0d124e54af0a735caae253f657d96 [file] [log] [blame]
// 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.
#pragma once
#include <gen_cpp/Descriptors_types.h>
#include <parallel_hashmap/phmap.h>
#include <stddef.h>
#include <stdint.h>
#include <map>
#include <mutex>
#include <string>
#include "common/status.h"
#include "olap/tablet_fwd.h"
#include "olap/tablet_schema.h"
#include "udf/udf.h"
#include "vec/aggregate_functions/aggregate_function.h"
#include "vec/columns/column.h"
#include "vec/columns/column_variant.h"
#include "vec/core/columns_with_type_and_name.h"
#include "vec/core/field.h"
#include "vec/core/types.h"
#include "vec/data_types/data_type.h"
namespace doris {
enum class FieldType;
namespace segment_v2 {
struct VariantStatisticsPB;
} // namespace segment_v2
namespace vectorized {
class Block;
class IColumn;
struct ColumnWithTypeAndName;
struct ParseConfig;
} // namespace vectorized
} // namespace doris
const std::string SPARSE_COLUMN_PATH = "__DORIS_VARIANT_SPARSE__";
namespace doris::vectorized::schema_util {
using PathToNoneNullValues = std::unordered_map<std::string, int64_t>;
using PathToDataTypes = std::unordered_map<PathInData, std::vector<DataTypePtr>, PathInData::Hash>;
struct VariantExtendedInfo {
PathToNoneNullValues path_to_none_null_values; // key: path, value: number of none null values
std::unordered_set<std::string> sparse_paths; // sparse paths in this variant column
std::unordered_set<std::string> typed_paths; // typed paths in this variant column
std::unordered_set<vectorized::PathInData, vectorized::PathInData::Hash>
nested_paths; // nested paths in this variant column
PathToDataTypes path_to_data_types; // key: path, value: data types
};
/// Returns number of dimensions in Array type. 0 if type is not array.
size_t get_number_of_dimensions(const IDataType& type);
/// Returns number of dimensions in Array column. 0 if column is not array.
size_t get_number_of_dimensions(const IColumn& column);
/// Returns type of scalars of Array of arbitrary dimensions.
DataTypePtr get_base_type_of_array(const DataTypePtr& type);
/// Returns Array with requested number of dimensions and no scalars.
Array create_empty_array_field(size_t num_dimensions);
// Cast column to dst type
Status cast_column(const ColumnWithTypeAndName& arg, const DataTypePtr& type, ColumnPtr* result);
/// If both of types are signed/unsigned integers and size of left field type
/// is less than right type, we don't need to convert field,
/// because all integer fields are stored in Int64/UInt64.
bool is_conversion_required_between_integers(const PrimitiveType& lhs, const PrimitiveType& rhs);
struct ExtraInfo {
// -1 indicates it's not a Frontend generated column
int32_t unique_id = -1;
int32_t parent_unique_id = -1;
vectorized::PathInData path_info;
};
TabletColumn get_column_by_type(const vectorized::DataTypePtr& data_type, const std::string& name,
const ExtraInfo& ext_info);
// three steps to parse and encode variant columns into flatterned columns
// 1. parse variant from raw json string
// 2. finalize variant column to each subcolumn least commn types, default ignore sparse sub columns
// 3. encode sparse sub columns
Status parse_variant_columns(Block& block, const std::vector<int>& variant_pos,
const ParseConfig& config);
// Pick the tablet schema with the highest schema version as the reference.
// Then update all variant columns to there least common types.
// Return the final merged schema as common schema.
// If base_schema == nullptr then, max schema version tablet schema will be picked as base schema
Status get_least_common_schema(const std::vector<TabletSchemaSPtr>& schemas,
const TabletSchemaSPtr& base_schema, TabletSchemaSPtr& result,
bool check_schema_size = false);
// Get least common types for extracted columns which has Path info,
// with a speicified variant column's unique id
void update_least_common_schema(const std::vector<TabletSchemaSPtr>& schemas,
TabletSchemaSPtr& common_schema, int32_t variant_col_unique_id,
std::set<PathInData>* path_set);
void update_least_sparse_column(const std::vector<TabletSchemaSPtr>& schemas,
TabletSchemaSPtr& common_schema, int32_t variant_col_unique_id,
const std::set<PathInData>& path_set);
// inherit attributes like index/agg info from it's parent column
void inherit_column_attributes(TabletSchemaSPtr& schema);
// source: variant column
// target: extracted column from variant column
void inherit_column_attributes(const TabletColumn& source, TabletColumn& target,
TabletSchemaSPtr* target_schema = nullptr);
// get sorted subcolumns of variant
vectorized::ColumnVariant::Subcolumns get_sorted_subcolumns(
const vectorized::ColumnVariant::Subcolumns& subcolumns);
bool has_schema_index_diff(const TabletSchema* new_schema, const TabletSchema* old_schema,
int32_t new_col_idx, int32_t old_col_idx);
// create ColumnMap<String, String>
TabletColumn create_sparse_column(const TabletColumn& variant);
// get the subpaths and sparse paths for the variant column
void get_subpaths(int32_t max_subcolumns_count, const PathToNoneNullValues& path_stats,
TabletSchema::PathsSetInfo& paths_set_info);
// collect extended info from the variant column
Status aggregate_variant_extended_info(
const RowsetSharedPtr& rs,
std::unordered_map<int32_t, VariantExtendedInfo>* uid_to_variant_extended_info);
// collect path stats from the variant column
Status aggregate_path_to_stats(
const RowsetSharedPtr& rs,
std::unordered_map<int32_t, PathToNoneNullValues>* uid_to_path_stats);
// Build the temporary schema for compaction, this will reduce the memory usage of compacting variant columns
Status get_extended_compaction_schema(const std::vector<RowsetSharedPtr>& rowsets,
TabletSchemaSPtr& target);
TabletSchemaSPtr calculate_variant_extended_schema(const std::vector<RowsetSharedPtr>& rowsets,
const TabletSchemaSPtr& base_schema);
// Check if the path stats are consistent between inputs rowsets and output rowset.
// Used to check the correctness of compaction.
Status check_path_stats(const std::vector<RowsetSharedPtr>& intputs, RowsetSharedPtr output,
BaseTabletSPtr tablet);
// Calculate statistics about variant data paths from the encoded sparse column
void calculate_variant_stats(const IColumn& encoded_sparse_column,
segment_v2::VariantStatisticsPB* stats, size_t row_pos,
size_t num_rows);
void get_field_info(const Field& field, FieldInfo* info);
bool generate_sub_column_info(const TabletSchema& schema, int32_t col_unique_id,
const std::string& path,
TabletSchema::SubColumnInfo* sub_column_info);
bool inherit_index(const std::vector<const TabletIndex*>& parent_indexes,
TabletIndexes& sub_column_indexes, FieldType column_type,
const std::string& suffix_path, bool is_array_nested_type = false);
bool inherit_index(const std::vector<const TabletIndex*>& parent_indexes,
TabletIndexes& sub_column_indexes, const TabletColumn& column);
bool inherit_index(const std::vector<const TabletIndex*>& parent_indexes,
TabletIndexes& sub_column_indexes, const segment_v2::ColumnMetaPB& column_pb);
void get_compaction_subcolumns(TabletSchema::PathsSetInfo& paths_set_info,
const TabletColumnPtr parent_column, const TabletSchemaSPtr& target,
const PathToDataTypes& path_to_data_types,
const std::unordered_set<std::string>& sparse_paths,
TabletSchemaSPtr& output_schema);
void update_least_schema_internal(const std::map<PathInData, DataTypes>& subcolumns_types,
TabletSchemaSPtr& common_schema, bool update_sparse_column,
int32_t variant_col_unique_id,
const std::map<std::string, TabletColumnPtr>& typed_columns,
std::set<PathInData>* path_set = nullptr);
Status get_compaction_typed_columns(const TabletSchemaSPtr& target,
const std::unordered_set<std::string>& typed_paths,
const TabletColumnPtr parent_column,
TabletSchemaSPtr& output_schema,
TabletSchema::PathsSetInfo& paths_set_info);
Status get_compaction_nested_columns(
const std::unordered_set<vectorized::PathInData, vectorized::PathInData::Hash>&
nested_paths,
const PathToDataTypes& path_to_data_types, const TabletColumnPtr parent_column,
TabletSchemaSPtr& output_schema, TabletSchema::PathsSetInfo& paths_set_info);
} // namespace doris::vectorized::schema_util