ClickHouse/src/Interpreters/ActionsDAG.h

284 lines
12 KiB
C++

#pragma once
#include <Core/ColumnsWithTypeAndName.h>
#include <Core/NamesAndTypes.h>
#include <Core/Names.h>
#include <Interpreters/Context_fwd.h>
#if !defined(ARCADIA_BUILD)
# include "config_core.h"
#endif
namespace DB
{
class ActionsDAG;
using ActionsDAGPtr = std::shared_ptr<ActionsDAG>;
class IExecutableFunction;
using ExecutableFunctionPtr = std::shared_ptr<IExecutableFunction>;
class IFunctionBase;
using FunctionBasePtr = std::shared_ptr<IFunctionBase>;
class IFunctionOverloadResolver;
using FunctionOverloadResolverPtr = std::shared_ptr<IFunctionOverloadResolver>;
class IDataType;
using DataTypePtr = std::shared_ptr<const IDataType>;
namespace JSONBuilder
{
class JSONMap;
class IItem;
using ItemPtr = std::unique_ptr<IItem>;
}
/// Directed acyclic graph of expressions.
/// This is an intermediate representation of actions which is usually built from expression list AST.
/// Node of DAG describe calculation of a single column with known type, name, and constant value (if applicable).
///
/// DAG representation is useful in case we need to know explicit dependencies between actions.
/// It is helpful when it is needed to optimize actions, remove unused expressions, compile subexpressions,
/// split or merge parts of graph, calculate expressions on partial input.
///
/// Built DAG is used by ExpressionActions, which calculates expressions on block.
class ActionsDAG
{
public:
enum class ActionType
{
/// Column which must be in input.
INPUT,
/// Constant column with known value.
COLUMN,
/// Another one name for column.
ALIAS,
/// Function arrayJoin. Specially separated because it changes the number of rows.
ARRAY_JOIN,
FUNCTION,
};
struct Node;
using NodeRawPtrs = std::vector<Node *>;
using NodeRawConstPtrs = std::vector<const Node *>;
struct Node
{
NodeRawConstPtrs children;
ActionType type{};
std::string result_name;
DataTypePtr result_type;
FunctionOverloadResolverPtr function_builder;
/// Can be used after action was added to ExpressionActions if we want to get function signature or properties like monotonicity.
FunctionBasePtr function_base;
/// Prepared function which is used in function execution.
ExecutableFunctionPtr function;
/// If function is a compiled statement.
bool is_function_compiled = false;
/// It is deterministic (See IFunction::isDeterministic).
/// This property is kept after constant folding of non-deterministic functions like 'now', 'today'.
bool is_deterministic = true;
/// For COLUMN node and propagated constants.
ColumnPtr column;
void toTree(JSONBuilder::JSONMap & map) const;
};
/// NOTE: std::list is an implementation detail.
/// It allows to add and remove new nodes inplace without reallocation.
/// Raw pointers to nodes remain valid.
using Nodes = std::list<Node>;
private:
Nodes nodes;
NodeRawConstPtrs index;
NodeRawConstPtrs inputs;
bool project_input = false;
bool projected_output = false;
public:
ActionsDAG() = default;
ActionsDAG(ActionsDAG &&) = default;
ActionsDAG(const ActionsDAG &) = delete;
ActionsDAG & operator=(const ActionsDAG &) = delete;
explicit ActionsDAG(const NamesAndTypesList & inputs_);
explicit ActionsDAG(const ColumnsWithTypeAndName & inputs_);
const Nodes & getNodes() const { return nodes; }
const NodeRawConstPtrs & getIndex() const { return index; }
const NodeRawConstPtrs & getInputs() const { return inputs; }
NamesAndTypesList getRequiredColumns() const;
Names getRequiredColumnsNames() const;
ColumnsWithTypeAndName getResultColumns() const;
NamesAndTypesList getNamesAndTypesList() const;
Names getNames() const;
std::string dumpNames() const;
std::string dumpDAG() const;
const Node & addInput(std::string name, DataTypePtr type);
const Node & addInput(ColumnWithTypeAndName column);
const Node & addColumn(ColumnWithTypeAndName column);
const Node & addAlias(const Node & child, std::string alias);
const Node & addArrayJoin(const Node & child, std::string result_name);
const Node & addFunction(
const FunctionOverloadResolverPtr & function,
NodeRawConstPtrs children,
std::string result_name);
/// Index can contain any column returned from DAG.
/// You may manually change it if needed.
NodeRawConstPtrs & getIndex() { return index; }
/// Find first column by name in index. This search is linear.
const Node & findInIndex(const std::string & name) const;
/// Same, but return nullptr if node not found.
const Node * tryFindInIndex(const std::string & name) const;
/// Find first node with the same name in index and replace it.
/// If was not found, add node to index end.
void addOrReplaceInIndex(const Node & node);
/// Call addAlias several times.
void addAliases(const NamesWithAliases & aliases);
/// Add alias actions and remove unused columns from index. Also specify result columns order in index.
void project(const NamesWithAliases & projection);
/// If column is not in index, try to find it in nodes and insert back into index.
bool tryRestoreColumn(const std::string & column_name);
/// Find column in result. Remove it from index.
/// If columns is in inputs and has no dependent nodes, remove it from inputs too.
/// Return true if column was removed from inputs.
bool removeUnusedResult(const std::string & column_name);
void projectInput(bool project = true) { project_input = project; }
bool isInputProjected() const { return project_input; }
bool isOutputProjected() const { return projected_output; }
void removeUnusedActions(const Names & required_names);
void removeUnusedActions(const NameSet & required_names);
NameSet foldActionsByProjection(
const NameSet & required_columns,
const Block & projection_block_for_keys,
const String & predicate_column_name = {},
bool add_missing_keys = true);
void reorderAggregationKeysForProjection(const std::unordered_map<std::string_view, size_t> & key_names_pos_map);
void addAggregatesViaProjection(const Block & aggregates);
bool hasArrayJoin() const;
bool hasStatefulFunctions() const;
bool trivial() const; /// If actions has no functions or array join.
void assertDeterministic() const; /// Throw if not isDeterministic.
#if USE_EMBEDDED_COMPILER
void compileExpressions(size_t min_count_to_compile_expression, const std::unordered_set<const Node *> & lazy_executed_nodes = {});
#endif
ActionsDAGPtr clone() const;
/// Execute actions for header. Input block must have empty columns.
/// Result should be equal to the execution of ExpressionActions build form this DAG.
/// Actions are not changed, no expressions are compiled.
///
/// In addition, check that result constants are constants according to DAG.
/// In case if function return constant, but arguments are not constant, materialize it.
Block updateHeader(Block header) const;
/// For apply materialize() function for every output.
/// Also add aliases so the result names remain unchanged.
void addMaterializingOutputActions();
/// Apply materialize() function to node. Result node has the same name.
const Node & materializeNode(const Node & node);
enum class MatchColumnsMode
{
/// Require same number of columns in source and result. Match columns by corresponding positions, regardless to names.
Position,
/// Find columns in source by their names. Allow excessive columns in source.
Name,
};
/// Create ActionsDAG which converts block structure from source to result.
/// It is needed to convert result from different sources to the same structure, e.g. for UNION query.
/// Conversion should be possible with only usage of CAST function and renames.
/// @param ignore_constant_values - Do not check that constants are same. Use value from result_header.
/// @param add_casted_columns - Create new columns with converted values instead of replacing original.
/// @param new_names - Output parameter for new column names when add_casted_columns is used.
static ActionsDAGPtr makeConvertingActions(
const ColumnsWithTypeAndName & source,
const ColumnsWithTypeAndName & result,
MatchColumnsMode mode,
bool ignore_constant_values = false,
bool add_casted_columns = false,
NameToNameMap * new_names = nullptr);
/// Create expression which add const column and then materialize it.
static ActionsDAGPtr makeAddingColumnActions(ColumnWithTypeAndName column);
/// Create ActionsDAG which represents expression equivalent to applying first and second actions consequently.
/// Is used to replace `(first -> second)` expression chain to single `merge(first, second)` expression.
/// If first.settings.project_input is set, then outputs of `first` must include inputs of `second`.
/// Otherwise, any two actions may be combined.
static ActionsDAGPtr merge(ActionsDAG && first, ActionsDAG && second);
using SplitResult = std::pair<ActionsDAGPtr, ActionsDAGPtr>;
/// Split ActionsDAG into two DAGs, where first part contains all nodes from split_nodes and their children.
/// Execution of first then second parts on block is equivalent to execution of initial DAG.
/// First DAG and initial DAG have equal inputs, second DAG and initial DAG has equal index (outputs).
/// Second DAG inputs may contain less inputs then first DAG (but also include other columns).
SplitResult split(std::unordered_set<const Node *> split_nodes) const;
/// Splits actions into two parts. Returned first half may be swapped with ARRAY JOIN.
SplitResult splitActionsBeforeArrayJoin(const NameSet & array_joined_columns) const;
/// Splits actions into two parts. First part has minimal size sufficient for calculation of column_name.
/// Index of initial actions must contain column_name.
SplitResult splitActionsForFilter(const std::string & column_name) const;
/// Create actions which may calculate part of filter using only available_inputs.
/// If nothing may be calculated, returns nullptr.
/// Otherwise, return actions which inputs are from available_inputs.
/// Returned actions add single column which may be used for filter. Added column will be the first one.
/// Also, replace some nodes of current inputs to constant 1 in case they are filtered.
///
/// @param all_inputs should contain inputs from previous step, which will be used for result actions.
/// It is expected that all_inputs contain columns from available_inputs.
/// This parameter is needed to enforce result actions save columns order in block.
/// Otherwise for some queries, e.g. with GROUP BY, columns will be mixed.
/// Example: SELECT sum(x), y, z FROM tab WHERE z > 0 and sum(x) > 0
/// Pushed condition: z > 0
/// GROUP BY step will transform columns `x, y, z` -> `sum(x), y, z`
/// If we just add filter step with actions `z -> z > 0` before GROUP BY,
/// columns will be transformed like `x, y, z` -> `z > 0, z, x, y` -(remove filter)-> `z, x, y`.
/// To avoid it, add inputs from `all_inputs` list,
/// so actions `x, y, z -> z > 0, x, y, z` -(remove filter)-> `x, y, z` will not change columns order.
ActionsDAGPtr cloneActionsForFilterPushDown(
const std::string & filter_name,
bool can_remove_filter,
const Names & available_inputs,
const ColumnsWithTypeAndName & all_inputs);
private:
Node & addNode(Node node);
void removeUnusedActions(bool allow_remove_inputs = true);
#if USE_EMBEDDED_COMPILER
void compileFunctions(size_t min_count_to_compile_expression, const std::unordered_set<const Node *> & lazy_executed_nodes = {});
#endif
static ActionsDAGPtr cloneActionsForConjunction(NodeRawConstPtrs conjunction, const ColumnsWithTypeAndName & all_inputs);
};
}