mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-12-04 21:42:39 +00:00
1469 lines
57 KiB
C++
1469 lines
57 KiB
C++
#include <algorithm>
|
|
#include <memory>
|
|
#include <set>
|
|
|
|
#include <Core/Settings.h>
|
|
#include <Core/NamesAndTypes.h>
|
|
#include <Core/SettingsEnums.h>
|
|
|
|
#include <Interpreters/ArrayJoinedColumnsVisitor.h>
|
|
#include <Interpreters/CollectJoinOnKeysVisitor.h>
|
|
#include <Interpreters/Context.h>
|
|
#include <Interpreters/ExecuteScalarSubqueriesVisitor.h>
|
|
#include <Interpreters/ExpressionActions.h> /// getSmallestColumn()
|
|
#include <Interpreters/FunctionNameNormalizer.h>
|
|
#include <Interpreters/GetAggregatesVisitor.h>
|
|
#include <Interpreters/GroupingSetsRewriterVisitor.h>
|
|
#include <Interpreters/LogicalExpressionsOptimizer.h>
|
|
#include <Interpreters/MarkTableIdentifiersVisitor.h>
|
|
#include <Interpreters/PredicateExpressionsOptimizer.h>
|
|
#include <Interpreters/QueryAliasesVisitor.h>
|
|
#include <Interpreters/QueryNormalizer.h>
|
|
#include <Interpreters/RequiredSourceColumnsVisitor.h>
|
|
#include <Interpreters/RewriteOrderByVisitor.hpp>
|
|
#include <Interpreters/TableJoin.h>
|
|
#include <Interpreters/TranslateQualifiedNamesVisitor.h>
|
|
#include <Interpreters/TreeOptimizer.h>
|
|
#include <Interpreters/TreeRewriter.h>
|
|
#include <Interpreters/evaluateConstantExpression.h>
|
|
#include <Interpreters/getTableExpressions.h>
|
|
#include <Interpreters/replaceAliasColumnsInQuery.h>
|
|
#include <Interpreters/replaceForPositionalArguments.h>
|
|
|
|
#include <Functions/UserDefined/UserDefinedSQLFunctionFactory.h>
|
|
#include <Functions/UserDefined/UserDefinedSQLFunctionVisitor.h>
|
|
|
|
#include <Parsers/IAST_fwd.h>
|
|
#include <Parsers/ASTExpressionList.h>
|
|
#include <Parsers/ASTFunction.h>
|
|
#include <Parsers/ASTLiteral.h>
|
|
#include <Parsers/ASTSelectQuery.h>
|
|
#include <Parsers/ASTSelectWithUnionQuery.h>
|
|
#include <Parsers/ASTTablesInSelectQuery.h>
|
|
#include <Parsers/ASTInterpolateElement.h>
|
|
#include <Parsers/ASTOrderByElement.h>
|
|
#include <Parsers/queryToString.h>
|
|
#include <Parsers/ASTCreateQuery.h>
|
|
|
|
#include <DataTypes/NestedUtils.h>
|
|
#include <DataTypes/DataTypeNullable.h>
|
|
#include <DataTypes/DataTypeLowCardinality.h>
|
|
|
|
#include <IO/WriteHelpers.h>
|
|
#include <Storages/IStorage.h>
|
|
#include <Storages/StorageJoin.h>
|
|
#include <Common/checkStackSize.h>
|
|
#include <Storages/StorageView.h>
|
|
|
|
#include <AggregateFunctions/AggregateFunctionFactory.h>
|
|
|
|
namespace DB
|
|
{
|
|
|
|
namespace ErrorCodes
|
|
{
|
|
extern const int EMPTY_LIST_OF_COLUMNS_QUERIED;
|
|
extern const int EMPTY_NESTED_TABLE;
|
|
extern const int EXPECTED_ALL_OR_ANY;
|
|
extern const int INVALID_JOIN_ON_EXPRESSION;
|
|
extern const int LOGICAL_ERROR;
|
|
extern const int NOT_IMPLEMENTED;
|
|
extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH;
|
|
extern const int UNKNOWN_IDENTIFIER;
|
|
}
|
|
|
|
namespace
|
|
{
|
|
|
|
using LogAST = DebugASTLog<false>; /// set to true to enable logs
|
|
|
|
void optimizeGroupingSets(ASTPtr & query)
|
|
{
|
|
GroupingSetsRewriterVisitor::Data data;
|
|
GroupingSetsRewriterVisitor(data).visit(query);
|
|
}
|
|
|
|
/// Select implementation of a function based on settings.
|
|
/// Important that it is done as query rewrite. It means rewritten query
|
|
/// will be sent to remote servers during distributed query execution,
|
|
/// and on all remote servers, function implementation will be same.
|
|
template <char const * func_name>
|
|
struct CustomizeFunctionsData
|
|
{
|
|
using TypeToVisit = ASTFunction;
|
|
|
|
const String & customized_func_name;
|
|
|
|
void visit(ASTFunction & func, ASTPtr &) const
|
|
{
|
|
if (Poco::toLower(func.name) == func_name)
|
|
{
|
|
func.name = customized_func_name;
|
|
}
|
|
}
|
|
};
|
|
|
|
char countdistinct[] = "countdistinct";
|
|
using CustomizeCountDistinctVisitor = InDepthNodeVisitor<OneTypeMatcher<CustomizeFunctionsData<countdistinct>>, true>;
|
|
|
|
char countifdistinct[] = "countifdistinct";
|
|
using CustomizeCountIfDistinctVisitor = InDepthNodeVisitor<OneTypeMatcher<CustomizeFunctionsData<countifdistinct>>, true>;
|
|
|
|
char in[] = "in";
|
|
using CustomizeInVisitor = InDepthNodeVisitor<OneTypeMatcher<CustomizeFunctionsData<in>>, true>;
|
|
|
|
char notIn[] = "notin";
|
|
using CustomizeNotInVisitor = InDepthNodeVisitor<OneTypeMatcher<CustomizeFunctionsData<notIn>>, true>;
|
|
|
|
char globalIn[] = "globalin";
|
|
using CustomizeGlobalInVisitor = InDepthNodeVisitor<OneTypeMatcher<CustomizeFunctionsData<globalIn>>, true>;
|
|
|
|
char globalNotIn[] = "globalnotin";
|
|
using CustomizeGlobalNotInVisitor = InDepthNodeVisitor<OneTypeMatcher<CustomizeFunctionsData<globalNotIn>>, true>;
|
|
|
|
template <char const * func_suffix>
|
|
struct CustomizeFunctionsSuffixData
|
|
{
|
|
using TypeToVisit = ASTFunction;
|
|
|
|
const String & customized_func_suffix;
|
|
|
|
void visit(ASTFunction & func, ASTPtr &) const
|
|
{
|
|
if (endsWith(Poco::toLower(func.name), func_suffix))
|
|
{
|
|
size_t prefix_len = func.name.length() - strlen(func_suffix);
|
|
func.name = func.name.substr(0, prefix_len) + customized_func_suffix;
|
|
}
|
|
}
|
|
};
|
|
|
|
/// Swap 'if' and 'distinct' suffixes to make execution more optimal.
|
|
char ifDistinct[] = "ifdistinct";
|
|
using CustomizeIfDistinctVisitor = InDepthNodeVisitor<OneTypeMatcher<CustomizeFunctionsSuffixData<ifDistinct>>, true>;
|
|
|
|
/// Used to rewrite all aggregate functions to add -OrNull suffix to them if setting `aggregate_functions_null_for_empty` is set.
|
|
struct CustomizeAggregateFunctionsSuffixData
|
|
{
|
|
using TypeToVisit = ASTFunction;
|
|
|
|
const String & customized_func_suffix;
|
|
|
|
void visit(ASTFunction & func, ASTPtr &) const
|
|
{
|
|
const auto & instance = AggregateFunctionFactory::instance();
|
|
if (instance.isAggregateFunctionName(func.name) && !endsWith(func.name, customized_func_suffix) && !endsWith(func.name, customized_func_suffix + "If"))
|
|
{
|
|
auto properties = instance.tryGetProperties(func.name);
|
|
if (properties && !properties->returns_default_when_only_null)
|
|
{
|
|
func.name += customized_func_suffix;
|
|
}
|
|
}
|
|
}
|
|
};
|
|
|
|
// Used to rewrite aggregate functions with -OrNull suffix in some cases, such as sumIfOrNull, we should rewrite to sumOrNullIf
|
|
struct CustomizeAggregateFunctionsMoveSuffixData
|
|
{
|
|
using TypeToVisit = ASTFunction;
|
|
|
|
const String & customized_func_suffix;
|
|
|
|
String moveSuffixAhead(const String & name) const
|
|
{
|
|
auto prefix = name.substr(0, name.size() - customized_func_suffix.size());
|
|
|
|
auto prefix_size = prefix.size();
|
|
|
|
if (endsWith(prefix, "MergeState"))
|
|
return prefix.substr(0, prefix_size - 10) + customized_func_suffix + "MergeState";
|
|
|
|
if (endsWith(prefix, "Merge"))
|
|
return prefix.substr(0, prefix_size - 5) + customized_func_suffix + "Merge";
|
|
|
|
if (endsWith(prefix, "State"))
|
|
return prefix.substr(0, prefix_size - 5) + customized_func_suffix + "State";
|
|
|
|
if (endsWith(prefix, "If"))
|
|
return prefix.substr(0, prefix_size - 2) + customized_func_suffix + "If";
|
|
|
|
return name;
|
|
}
|
|
|
|
void visit(ASTFunction & func, ASTPtr &) const
|
|
{
|
|
const auto & instance = AggregateFunctionFactory::instance();
|
|
if (instance.isAggregateFunctionName(func.name))
|
|
{
|
|
if (endsWith(func.name, customized_func_suffix))
|
|
{
|
|
auto properties = instance.tryGetProperties(func.name);
|
|
if (properties && !properties->returns_default_when_only_null)
|
|
{
|
|
func.name = moveSuffixAhead(func.name);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
};
|
|
|
|
using CustomizeAggregateFunctionsOrNullVisitor = InDepthNodeVisitor<OneTypeMatcher<CustomizeAggregateFunctionsSuffixData>, true>;
|
|
using CustomizeAggregateFunctionsMoveOrNullVisitor = InDepthNodeVisitor<OneTypeMatcher<CustomizeAggregateFunctionsMoveSuffixData>, true>;
|
|
|
|
struct ExistsExpressionData
|
|
{
|
|
using TypeToVisit = ASTFunction;
|
|
|
|
static void visit(ASTFunction & func, ASTPtr)
|
|
{
|
|
bool exists_expression = func.name == "exists"
|
|
&& func.arguments && func.arguments->children.size() == 1
|
|
&& typeid_cast<const ASTSubquery *>(func.arguments->children[0].get());
|
|
|
|
if (!exists_expression)
|
|
return;
|
|
|
|
/// EXISTS(subquery) --> 1 IN (SELECT 1 FROM subquery LIMIT 1)
|
|
|
|
auto subquery_node = func.arguments->children[0];
|
|
auto table_expression = std::make_shared<ASTTableExpression>();
|
|
table_expression->subquery = std::move(subquery_node);
|
|
table_expression->children.push_back(table_expression->subquery);
|
|
|
|
auto tables_in_select_element = std::make_shared<ASTTablesInSelectQueryElement>();
|
|
tables_in_select_element->table_expression = std::move(table_expression);
|
|
tables_in_select_element->children.push_back(tables_in_select_element->table_expression);
|
|
|
|
auto tables_in_select = std::make_shared<ASTTablesInSelectQuery>();
|
|
tables_in_select->children.push_back(std::move(tables_in_select_element));
|
|
|
|
auto select_expr_list = std::make_shared<ASTExpressionList>();
|
|
select_expr_list->children.push_back(std::make_shared<ASTLiteral>(1u));
|
|
|
|
auto select_query = std::make_shared<ASTSelectQuery>();
|
|
select_query->children.push_back(select_expr_list);
|
|
|
|
select_query->setExpression(ASTSelectQuery::Expression::SELECT, select_expr_list);
|
|
select_query->setExpression(ASTSelectQuery::Expression::TABLES, tables_in_select);
|
|
|
|
ASTPtr limit_length_ast = std::make_shared<ASTLiteral>(Field(static_cast<UInt64>(1)));
|
|
select_query->setExpression(ASTSelectQuery::Expression::LIMIT_LENGTH, std::move(limit_length_ast));
|
|
|
|
auto select_with_union_query = std::make_shared<ASTSelectWithUnionQuery>();
|
|
select_with_union_query->list_of_selects = std::make_shared<ASTExpressionList>();
|
|
select_with_union_query->list_of_selects->children.push_back(std::move(select_query));
|
|
select_with_union_query->children.push_back(select_with_union_query->list_of_selects);
|
|
|
|
auto new_subquery = std::make_shared<ASTSubquery>();
|
|
new_subquery->children.push_back(select_with_union_query);
|
|
|
|
auto function = makeASTFunction("in", std::make_shared<ASTLiteral>(1u), new_subquery);
|
|
func = *function;
|
|
}
|
|
};
|
|
|
|
using ExistsExpressionVisitor = InDepthNodeVisitor<OneTypeMatcher<ExistsExpressionData>, false>;
|
|
|
|
struct ReplacePositionalArgumentsData
|
|
{
|
|
using TypeToVisit = ASTSelectQuery;
|
|
|
|
static void visit(ASTSelectQuery & select_query, ASTPtr &)
|
|
{
|
|
if (select_query.groupBy())
|
|
{
|
|
for (auto & expr : select_query.groupBy()->children)
|
|
replaceForPositionalArguments(expr, &select_query, ASTSelectQuery::Expression::GROUP_BY);
|
|
}
|
|
if (select_query.orderBy())
|
|
{
|
|
for (auto & expr : select_query.orderBy()->children)
|
|
{
|
|
auto & elem = assert_cast<ASTOrderByElement &>(*expr).children.at(0);
|
|
replaceForPositionalArguments(elem, &select_query, ASTSelectQuery::Expression::ORDER_BY);
|
|
}
|
|
}
|
|
if (select_query.limitBy())
|
|
{
|
|
for (auto & expr : select_query.limitBy()->children)
|
|
replaceForPositionalArguments(expr, &select_query, ASTSelectQuery::Expression::LIMIT_BY);
|
|
}
|
|
}
|
|
};
|
|
|
|
using ReplacePositionalArgumentsVisitor = InDepthNodeVisitor<OneTypeMatcher<ReplacePositionalArgumentsData>, false>;
|
|
|
|
/// Translate qualified names such as db.table.column, table.column, table_alias.column to names' normal form.
|
|
/// Expand asterisks and qualified asterisks with column names.
|
|
/// There would be columns in normal form & column aliases after translation. Column & column alias would be normalized in QueryNormalizer.
|
|
void translateQualifiedNames(ASTPtr & query, const ASTSelectQuery & select_query, const NameSet & source_columns_set,
|
|
const TablesWithColumns & tables_with_columns, const NameToNameMap & parameter_values = {},
|
|
const NameToNameMap & parameter_types = {})
|
|
{
|
|
LogAST log;
|
|
TranslateQualifiedNamesVisitor::Data visitor_data(source_columns_set, tables_with_columns, true/* has_columns */, parameter_values, parameter_types);
|
|
TranslateQualifiedNamesVisitor visitor(visitor_data, log.stream());
|
|
visitor.visit(query);
|
|
|
|
/// This may happen after expansion of COLUMNS('regexp').
|
|
if (select_query.select()->children.empty())
|
|
throw Exception(ErrorCodes::EMPTY_LIST_OF_COLUMNS_QUERIED, "Empty list of columns in SELECT query");
|
|
}
|
|
|
|
bool hasArrayJoin(const ASTPtr & ast)
|
|
{
|
|
if (const ASTFunction * function = ast->as<ASTFunction>())
|
|
if (function->name == "arrayJoin")
|
|
return true;
|
|
|
|
for (const auto & child : ast->children)
|
|
if (!child->as<ASTSelectQuery>() && hasArrayJoin(child))
|
|
return true;
|
|
|
|
return false;
|
|
}
|
|
|
|
/// Keep number of columns for 'GLOBAL IN (SELECT 1 AS a, a)'
|
|
void renameDuplicatedColumns(const ASTSelectQuery * select_query)
|
|
{
|
|
ASTs & elements = select_query->select()->children;
|
|
|
|
std::set<String> all_column_names;
|
|
std::set<String> assigned_column_names;
|
|
|
|
for (auto & expr : elements)
|
|
all_column_names.insert(expr->getAliasOrColumnName());
|
|
|
|
for (auto & expr : elements)
|
|
{
|
|
auto name = expr->getAliasOrColumnName();
|
|
|
|
if (!assigned_column_names.insert(name).second)
|
|
{
|
|
size_t i = 1;
|
|
while (all_column_names.end() != all_column_names.find(name + "_" + toString(i)))
|
|
++i;
|
|
|
|
name = name + "_" + toString(i);
|
|
expr = expr->clone(); /// Cancels fuse of the same expressions in the tree.
|
|
expr->setAlias(name);
|
|
|
|
all_column_names.insert(name);
|
|
assigned_column_names.insert(name);
|
|
}
|
|
}
|
|
}
|
|
|
|
/// Sometimes we have to calculate more columns in SELECT clause than will be returned from query.
|
|
/// This is the case when we have DISTINCT or arrayJoin: we require more columns in SELECT even if we need less columns in result.
|
|
/// Also we have to remove duplicates in case of GLOBAL subqueries. Their results are placed into tables so duplicates are impossible.
|
|
/// Also remove all INTERPOLATE columns which are not in SELECT anymore.
|
|
void removeUnneededColumnsFromSelectClause(ASTSelectQuery * select_query, const Names & required_result_columns, bool remove_dups)
|
|
{
|
|
ASTs & elements = select_query->select()->children;
|
|
|
|
std::unordered_map<String, size_t> required_columns_with_duplicate_count;
|
|
/// Order of output columns should match order in required_result_columns,
|
|
/// otherwise UNION queries may have incorrect header when subselect has duplicated columns.
|
|
///
|
|
/// NOTE: multimap is required since there can be duplicated column names.
|
|
std::unordered_multimap<String, size_t> output_columns_positions;
|
|
|
|
if (!required_result_columns.empty())
|
|
{
|
|
/// Some columns may be queried multiple times, like SELECT x, y, y FROM table.
|
|
for (size_t i = 0; i < required_result_columns.size(); ++i)
|
|
{
|
|
const auto & name = required_result_columns[i];
|
|
if (remove_dups)
|
|
required_columns_with_duplicate_count[name] = 1;
|
|
else
|
|
++required_columns_with_duplicate_count[name];
|
|
output_columns_positions.emplace(name, i);
|
|
}
|
|
}
|
|
else if (remove_dups)
|
|
{
|
|
/// Even if we have no requirements there could be duplicates cause of asterisks. SELECT *, t.*
|
|
for (const auto & elem : elements)
|
|
required_columns_with_duplicate_count.emplace(elem->getAliasOrColumnName(), 1);
|
|
}
|
|
else
|
|
return;
|
|
|
|
ASTs new_elements(elements.size() + output_columns_positions.size());
|
|
size_t new_elements_size = 0;
|
|
|
|
NameSet remove_columns;
|
|
|
|
for (const auto & elem : elements)
|
|
{
|
|
String name = elem->getAliasOrColumnName();
|
|
|
|
/// Columns that are presented in output_columns_positions should
|
|
/// appears in the same order in the new_elements, hence default
|
|
/// result_index goes after all elements of output_columns_positions
|
|
/// (it is for columns that are not located in
|
|
/// output_columns_positions, i.e. untuple())
|
|
size_t result_index = output_columns_positions.size() + new_elements_size;
|
|
|
|
/// Note, order of duplicated columns is not important here (since they
|
|
/// are the same), only order for unique columns is important, so it is
|
|
/// fine to use multimap here.
|
|
if (auto it = output_columns_positions.find(name); it != output_columns_positions.end())
|
|
{
|
|
result_index = it->second;
|
|
output_columns_positions.erase(it);
|
|
}
|
|
|
|
auto it = required_columns_with_duplicate_count.find(name);
|
|
if (required_columns_with_duplicate_count.end() != it && it->second)
|
|
{
|
|
new_elements[result_index] = elem;
|
|
--it->second;
|
|
++new_elements_size;
|
|
}
|
|
else if (select_query->distinct || hasArrayJoin(elem))
|
|
{
|
|
/// ARRAY JOIN cannot be optimized out since it may change number of rows,
|
|
/// so as DISTINCT.
|
|
new_elements[result_index] = elem;
|
|
++new_elements_size;
|
|
}
|
|
else
|
|
{
|
|
remove_columns.insert(name);
|
|
|
|
ASTFunction * func = elem->as<ASTFunction>();
|
|
|
|
/// Never remove untuple. It's result column may be in required columns.
|
|
/// It is not easy to analyze untuple here, because types were not calculated yet.
|
|
if (func && func->name == "untuple")
|
|
{
|
|
new_elements[result_index] = elem;
|
|
++new_elements_size;
|
|
}
|
|
/// removing aggregation can change number of rows, so `count()` result in outer sub-query would be wrong
|
|
if (func && !select_query->groupBy())
|
|
{
|
|
GetAggregatesVisitor::Data data = {};
|
|
GetAggregatesVisitor(data).visit(elem);
|
|
if (!data.aggregates.empty())
|
|
{
|
|
new_elements[result_index] = elem;
|
|
++new_elements_size;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
/// Remove empty nodes.
|
|
std::erase(new_elements, ASTPtr{});
|
|
|
|
if (select_query->interpolate())
|
|
{
|
|
auto & children = select_query->interpolate()->children;
|
|
if (!children.empty())
|
|
{
|
|
for (auto * it = children.begin(); it != children.end();)
|
|
{
|
|
if (remove_columns.contains((*it)->as<ASTInterpolateElement>()->column))
|
|
it = select_query->interpolate()->children.erase(it);
|
|
else
|
|
++it;
|
|
}
|
|
|
|
if (children.empty())
|
|
select_query->setExpression(ASTSelectQuery::Expression::INTERPOLATE, nullptr);
|
|
}
|
|
}
|
|
|
|
elements = std::move(new_elements);
|
|
}
|
|
|
|
/// Replacing scalar subqueries with constant values.
|
|
void executeScalarSubqueries(
|
|
ASTPtr & query, ContextPtr context, size_t subquery_depth, Scalars & scalars, Scalars & local_scalars, bool only_analyze)
|
|
{
|
|
LogAST log;
|
|
ExecuteScalarSubqueriesVisitor::Data visitor_data{WithContext{context}, subquery_depth, scalars, local_scalars, only_analyze};
|
|
ExecuteScalarSubqueriesVisitor(visitor_data, log.stream()).visit(query);
|
|
}
|
|
|
|
void getArrayJoinedColumns(ASTPtr & query, TreeRewriterResult & result, const ASTSelectQuery * select_query,
|
|
const NamesAndTypesList & source_columns, const NameSet & source_columns_set)
|
|
{
|
|
if (!select_query->arrayJoinExpressionList().first)
|
|
return;
|
|
|
|
ArrayJoinedColumnsVisitor::Data visitor_data{
|
|
result.aliases, result.array_join_name_to_alias, result.array_join_alias_to_name, result.array_join_result_to_source};
|
|
ArrayJoinedColumnsVisitor(visitor_data).visit(query);
|
|
|
|
/// If the result of ARRAY JOIN is not used, it is necessary to ARRAY-JOIN any column,
|
|
/// to get the correct number of rows.
|
|
if (result.array_join_result_to_source.empty())
|
|
{
|
|
if (select_query->arrayJoinExpressionList().first->children.empty())
|
|
throw DB::Exception(ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH, "ARRAY JOIN requires an argument");
|
|
|
|
ASTPtr expr = select_query->arrayJoinExpressionList().first->children.at(0);
|
|
String source_name = expr->getColumnName();
|
|
String result_name = expr->getAliasOrColumnName();
|
|
|
|
/// This is an array.
|
|
if (!expr->as<ASTIdentifier>() || source_columns_set.contains(source_name))
|
|
{
|
|
result.array_join_result_to_source[result_name] = source_name;
|
|
}
|
|
else /// This is a nested table.
|
|
{
|
|
bool found = false;
|
|
for (const auto & column : source_columns)
|
|
{
|
|
auto split = Nested::splitName(column.name, /*reverse=*/ true);
|
|
if (split.first == source_name && !split.second.empty())
|
|
{
|
|
result.array_join_result_to_source[Nested::concatenateName(result_name, split.second)] = column.name;
|
|
found = true;
|
|
break;
|
|
}
|
|
}
|
|
if (!found)
|
|
throw Exception(ErrorCodes::EMPTY_NESTED_TABLE, "No columns in nested table {}", source_name);
|
|
}
|
|
}
|
|
}
|
|
|
|
void setJoinStrictness(ASTSelectQuery & select_query, JoinStrictness join_default_strictness, bool old_any, std::shared_ptr<TableJoin> & analyzed_join)
|
|
{
|
|
const ASTTablesInSelectQueryElement * node = select_query.join();
|
|
if (!node)
|
|
return;
|
|
|
|
auto & table_join = const_cast<ASTTablesInSelectQueryElement *>(node)->table_join->as<ASTTableJoin &>();
|
|
|
|
if (table_join.strictness == JoinStrictness::Unspecified &&
|
|
table_join.kind != JoinKind::Cross)
|
|
{
|
|
if (join_default_strictness == JoinStrictness::Any)
|
|
table_join.strictness = JoinStrictness::Any;
|
|
else if (join_default_strictness == JoinStrictness::All)
|
|
table_join.strictness = JoinStrictness::All;
|
|
else
|
|
throw Exception(DB::ErrorCodes::EXPECTED_ALL_OR_ANY,
|
|
"Expected ANY or ALL in JOIN section, because setting (join_default_strictness) is empty");
|
|
}
|
|
|
|
if (old_any)
|
|
{
|
|
if (table_join.strictness == JoinStrictness::Any &&
|
|
table_join.kind == JoinKind::Inner)
|
|
{
|
|
table_join.strictness = JoinStrictness::Semi;
|
|
table_join.kind = JoinKind::Left;
|
|
}
|
|
|
|
if (table_join.strictness == JoinStrictness::Any)
|
|
table_join.strictness = JoinStrictness::RightAny;
|
|
}
|
|
else
|
|
{
|
|
if (table_join.strictness == JoinStrictness::Any && table_join.kind == JoinKind::Full)
|
|
throw Exception(ErrorCodes::NOT_IMPLEMENTED, "ANY FULL JOINs are not implemented");
|
|
}
|
|
|
|
analyzed_join->getTableJoin() = table_join;
|
|
}
|
|
|
|
/// Evaluate expression and return boolean value if it can be interpreted as bool.
|
|
/// Only UInt8 or NULL are allowed.
|
|
/// Returns `false` for 0 or NULL values, `true` for any non-negative value.
|
|
std::optional<bool> tryEvaluateConstCondition(ASTPtr expr, ContextPtr context)
|
|
{
|
|
if (!expr)
|
|
return {};
|
|
|
|
Field eval_res;
|
|
DataTypePtr eval_res_type;
|
|
try
|
|
{
|
|
std::tie(eval_res, eval_res_type) = evaluateConstantExpression(expr, context);
|
|
}
|
|
catch (DB::Exception &)
|
|
{
|
|
/// not a constant expression
|
|
return {};
|
|
}
|
|
/// UInt8, maybe Nullable, maybe LowCardinality, and NULL are allowed
|
|
eval_res_type = removeNullable(removeLowCardinality(eval_res_type));
|
|
if (auto which = WhichDataType(eval_res_type); !which.isUInt8() && !which.isNothing())
|
|
return {};
|
|
|
|
if (eval_res.isNull())
|
|
return false;
|
|
|
|
UInt8 res = eval_res.template safeGet<UInt8>();
|
|
return res > 0;
|
|
}
|
|
|
|
bool tryJoinOnConst(TableJoin & analyzed_join, const ASTPtr & on_expression, ContextPtr context)
|
|
{
|
|
if (!analyzed_join.isEnabledAlgorithm(JoinAlgorithm::HASH))
|
|
return false;
|
|
|
|
if (analyzed_join.strictness() == JoinStrictness::Asof)
|
|
return false;
|
|
|
|
if (analyzed_join.isSpecialStorage())
|
|
return false;
|
|
|
|
if (auto eval_const_res = tryEvaluateConstCondition(on_expression, context))
|
|
{
|
|
if (eval_const_res.value())
|
|
{
|
|
/// JOIN ON 1 == 1
|
|
LOG_DEBUG(&Poco::Logger::get("TreeRewriter"), "Join on constant executed as cross join");
|
|
analyzed_join.resetToCross();
|
|
}
|
|
else
|
|
{
|
|
/// JOIN ON 1 != 1
|
|
LOG_DEBUG(&Poco::Logger::get("TreeRewriter"), "Join on constant executed as empty join");
|
|
analyzed_join.resetKeys();
|
|
}
|
|
return true;
|
|
}
|
|
return false;
|
|
}
|
|
|
|
/// Find the columns that are obtained by JOIN.
|
|
void collectJoinedColumns(TableJoin & analyzed_join, ASTTableJoin & table_join,
|
|
const TablesWithColumns & tables, const Aliases & aliases, ContextPtr context)
|
|
{
|
|
assert(tables.size() >= 2);
|
|
|
|
if (table_join.using_expression_list)
|
|
{
|
|
const auto & keys = table_join.using_expression_list->as<ASTExpressionList &>();
|
|
|
|
analyzed_join.addDisjunct();
|
|
for (const auto & key : keys.children)
|
|
analyzed_join.addUsingKey(key);
|
|
}
|
|
else if (table_join.on_expression)
|
|
{
|
|
bool join_on_const_ok = tryJoinOnConst(analyzed_join, table_join.on_expression, context);
|
|
if (join_on_const_ok)
|
|
{
|
|
table_join.on_expression = nullptr;
|
|
return;
|
|
}
|
|
|
|
bool is_asof = (table_join.strictness == JoinStrictness::Asof);
|
|
|
|
CollectJoinOnKeysVisitor::Data data{analyzed_join, tables[0], tables[1], aliases, is_asof};
|
|
if (auto * or_func = table_join.on_expression->as<ASTFunction>(); or_func && or_func->name == "or")
|
|
{
|
|
for (auto & disjunct : or_func->arguments->children)
|
|
{
|
|
analyzed_join.addDisjunct();
|
|
CollectJoinOnKeysVisitor(data).visit(disjunct);
|
|
}
|
|
assert(analyzed_join.getClauses().size() == or_func->arguments->children.size());
|
|
}
|
|
else
|
|
{
|
|
analyzed_join.addDisjunct();
|
|
CollectJoinOnKeysVisitor(data).visit(table_join.on_expression);
|
|
assert(analyzed_join.oneDisjunct());
|
|
}
|
|
|
|
auto check_keys_empty = [] (auto e) { return e.key_names_left.empty(); };
|
|
bool any_keys_empty = std::any_of(analyzed_join.getClauses().begin(), analyzed_join.getClauses().end(), check_keys_empty);
|
|
|
|
if (any_keys_empty)
|
|
throw DB::Exception(ErrorCodes::INVALID_JOIN_ON_EXPRESSION,
|
|
"Cannot get JOIN keys from JOIN ON section: '{}', found keys: {}",
|
|
queryToString(table_join.on_expression), TableJoin::formatClauses(analyzed_join.getClauses()));
|
|
|
|
if (is_asof)
|
|
{
|
|
if (!analyzed_join.oneDisjunct())
|
|
throw DB::Exception(ErrorCodes::NOT_IMPLEMENTED, "ASOF join doesn't support multiple ORs for keys in JOIN ON section");
|
|
data.asofToJoinKeys();
|
|
}
|
|
|
|
if (!analyzed_join.oneDisjunct() && !analyzed_join.isEnabledAlgorithm(JoinAlgorithm::HASH))
|
|
throw DB::Exception(ErrorCodes::NOT_IMPLEMENTED, "Only `hash` join supports multiple ORs for keys in JOIN ON section");
|
|
}
|
|
}
|
|
|
|
std::pair<bool, UInt64> recursivelyCollectMaxOrdinaryExpressions(const ASTPtr & expr, ASTExpressionList & into)
|
|
{
|
|
checkStackSize();
|
|
|
|
if (expr->as<ASTIdentifier>())
|
|
{
|
|
into.children.push_back(expr);
|
|
return {false, 1};
|
|
}
|
|
|
|
auto * function = expr->as<ASTFunction>();
|
|
|
|
if (!function)
|
|
return {false, 0};
|
|
|
|
if (AggregateUtils::isAggregateFunction(*function))
|
|
return {true, 0};
|
|
|
|
UInt64 pushed_children = 0;
|
|
bool has_aggregate = false;
|
|
|
|
for (const auto & child : function->arguments->children)
|
|
{
|
|
auto [child_has_aggregate, child_pushed_children] = recursivelyCollectMaxOrdinaryExpressions(child, into);
|
|
has_aggregate |= child_has_aggregate;
|
|
pushed_children += child_pushed_children;
|
|
}
|
|
|
|
/// The current function is not aggregate function and there is no aggregate function in its arguments,
|
|
/// so use the current function to replace its arguments
|
|
if (!has_aggregate)
|
|
{
|
|
for (UInt64 i = 0; i < pushed_children; i++)
|
|
into.children.pop_back();
|
|
|
|
into.children.push_back(expr);
|
|
pushed_children = 1;
|
|
}
|
|
|
|
return {has_aggregate, pushed_children};
|
|
}
|
|
|
|
/** Expand GROUP BY ALL by extracting all the SELECT-ed expressions that are not aggregate functions.
|
|
*
|
|
* For a special case that if there is a function having both aggregate functions and other fields as its arguments,
|
|
* the `GROUP BY` keys will contain the maximum non-aggregate fields we can extract from it.
|
|
*
|
|
* Example:
|
|
* SELECT substring(a, 4, 2), substring(substring(a, 1, 2), 1, count(b)) FROM t GROUP BY ALL
|
|
* will expand as
|
|
* SELECT substring(a, 4, 2), substring(substring(a, 1, 2), 1, count(b)) FROM t GROUP BY substring(a, 4, 2), substring(a, 1, 2)
|
|
*/
|
|
void expandGroupByAll(ASTSelectQuery * select_query)
|
|
{
|
|
auto group_expression_list = std::make_shared<ASTExpressionList>();
|
|
|
|
for (const auto & expr : select_query->select()->children)
|
|
recursivelyCollectMaxOrdinaryExpressions(expr, *group_expression_list);
|
|
|
|
select_query->setExpression(ASTSelectQuery::Expression::GROUP_BY, group_expression_list);
|
|
}
|
|
|
|
std::vector<const ASTFunction *> getAggregates(ASTPtr & query, const ASTSelectQuery & select_query)
|
|
{
|
|
/// There can not be aggregate functions inside the WHERE and PREWHERE.
|
|
if (select_query.where())
|
|
assertNoAggregates(select_query.where(), "in WHERE");
|
|
if (select_query.prewhere())
|
|
assertNoAggregates(select_query.prewhere(), "in PREWHERE");
|
|
|
|
GetAggregatesVisitor::Data data;
|
|
GetAggregatesVisitor(data).visit(query);
|
|
|
|
/// There can not be other aggregate functions within the aggregate functions.
|
|
for (const ASTFunction * node : data.aggregates)
|
|
{
|
|
if (node->arguments)
|
|
{
|
|
for (auto & arg : node->arguments->children)
|
|
{
|
|
assertNoAggregates(arg, "inside another aggregate function");
|
|
// We also can't have window functions inside aggregate functions,
|
|
// because the window functions are calculated later.
|
|
assertNoWindows(arg, "inside an aggregate function");
|
|
}
|
|
}
|
|
}
|
|
return data.aggregates;
|
|
}
|
|
|
|
std::vector<const ASTFunction *> getWindowFunctions(ASTPtr & query, const ASTSelectQuery & select_query)
|
|
{
|
|
/// There can not be window functions inside the WHERE, PREWHERE and HAVING
|
|
if (select_query.having())
|
|
assertNoWindows(select_query.having(), "in HAVING");
|
|
if (select_query.where())
|
|
assertNoWindows(select_query.where(), "in WHERE");
|
|
if (select_query.prewhere())
|
|
assertNoWindows(select_query.prewhere(), "in PREWHERE");
|
|
if (select_query.window())
|
|
assertNoWindows(select_query.window(), "in WINDOW");
|
|
|
|
GetAggregatesVisitor::Data data;
|
|
GetAggregatesVisitor(data).visit(query);
|
|
|
|
/// Window functions cannot be inside aggregates or other window functions.
|
|
/// Aggregate functions can be inside window functions because they are
|
|
/// calculated earlier.
|
|
for (const ASTFunction * node : data.window_functions)
|
|
{
|
|
if (node->arguments)
|
|
{
|
|
for (auto & arg : node->arguments->children)
|
|
{
|
|
assertNoWindows(arg, "inside another window function");
|
|
}
|
|
}
|
|
|
|
if (node->window_definition)
|
|
{
|
|
assertNoWindows(node->window_definition, "inside window definition");
|
|
}
|
|
}
|
|
|
|
return data.window_functions;
|
|
}
|
|
|
|
class MarkTupleLiteralsAsLegacyData
|
|
{
|
|
public:
|
|
struct Data
|
|
{
|
|
};
|
|
|
|
static void visitLiteral(ASTLiteral & literal, ASTPtr &)
|
|
{
|
|
if (literal.value.getType() == Field::Types::Tuple)
|
|
literal.use_legacy_column_name_of_tuple = true;
|
|
}
|
|
static void visitFunction(ASTFunction & func, ASTPtr &ast)
|
|
{
|
|
if (func.name == "tuple" && func.arguments && !func.arguments->children.empty())
|
|
{
|
|
// re-write tuple() function as literal
|
|
if (auto literal = func.toLiteral())
|
|
{
|
|
ast = literal;
|
|
visitLiteral(*typeid_cast<ASTLiteral *>(ast.get()), ast);
|
|
}
|
|
}
|
|
}
|
|
|
|
static void visit(ASTPtr & ast, Data &)
|
|
{
|
|
if (auto * identifier = typeid_cast<ASTFunction *>(ast.get()))
|
|
visitFunction(*identifier, ast);
|
|
if (auto * identifier = typeid_cast<ASTLiteral *>(ast.get()))
|
|
visitLiteral(*identifier, ast);
|
|
}
|
|
|
|
static bool needChildVisit(const ASTPtr & /*parent*/, const ASTPtr & /*child*/)
|
|
{
|
|
return true;
|
|
}
|
|
};
|
|
|
|
using MarkTupleLiteralsAsLegacyVisitor = InDepthNodeVisitor<MarkTupleLiteralsAsLegacyData, true>;
|
|
|
|
void markTupleLiteralsAsLegacy(ASTPtr & query)
|
|
{
|
|
MarkTupleLiteralsAsLegacyVisitor::Data data;
|
|
MarkTupleLiteralsAsLegacyVisitor(data).visit(query);
|
|
}
|
|
|
|
/// Rewrite _shard_num -> shardNum() AS _shard_num
|
|
struct RewriteShardNum
|
|
{
|
|
struct Data
|
|
{
|
|
};
|
|
|
|
static bool needChildVisit(const ASTPtr & parent, const ASTPtr & /*child*/)
|
|
{
|
|
/// ON section should not be rewritten.
|
|
return typeid_cast<ASTTableJoin *>(parent.get()) == nullptr;
|
|
}
|
|
|
|
static void visit(ASTPtr & ast, Data &)
|
|
{
|
|
if (auto * identifier = typeid_cast<ASTIdentifier *>(ast.get()))
|
|
visit(*identifier, ast);
|
|
}
|
|
|
|
static void visit(ASTIdentifier & identifier, ASTPtr & ast)
|
|
{
|
|
if (identifier.shortName() != "_shard_num")
|
|
return;
|
|
|
|
String alias = identifier.tryGetAlias();
|
|
if (alias.empty())
|
|
alias = "_shard_num";
|
|
ast = makeASTFunction("shardNum");
|
|
ast->setAlias(alias);
|
|
}
|
|
};
|
|
using RewriteShardNumVisitor = InDepthNodeVisitor<RewriteShardNum, true>;
|
|
|
|
}
|
|
|
|
TreeRewriterResult::TreeRewriterResult(
|
|
const NamesAndTypesList & source_columns_,
|
|
ConstStoragePtr storage_,
|
|
const StorageSnapshotPtr & storage_snapshot_,
|
|
bool add_special)
|
|
: storage(storage_)
|
|
, storage_snapshot(storage_snapshot_)
|
|
, source_columns(source_columns_)
|
|
{
|
|
collectSourceColumns(add_special);
|
|
is_remote_storage = storage && storage->isRemote();
|
|
}
|
|
|
|
/// Add columns from storage to source_columns list. Deduplicate resulted list.
|
|
/// Special columns are non physical columns, for example ALIAS
|
|
void TreeRewriterResult::collectSourceColumns(bool add_special)
|
|
{
|
|
if (storage)
|
|
{
|
|
auto options = GetColumnsOptions(add_special ? GetColumnsOptions::All : GetColumnsOptions::AllPhysical);
|
|
options.withExtendedObjects();
|
|
if (storage->supportsSubcolumns())
|
|
options.withSubcolumns();
|
|
|
|
auto columns_from_storage = storage_snapshot->getColumns(options);
|
|
|
|
if (source_columns.empty())
|
|
source_columns.swap(columns_from_storage);
|
|
else
|
|
source_columns.insert(source_columns.end(), columns_from_storage.begin(), columns_from_storage.end());
|
|
}
|
|
|
|
source_columns_set = removeDuplicateColumns(source_columns);
|
|
}
|
|
|
|
|
|
/// Calculate which columns are required to execute the expression.
|
|
/// Then, delete all other columns from the list of available columns.
|
|
/// After execution, columns will only contain the list of columns needed to read from the table.
|
|
void TreeRewriterResult::collectUsedColumns(const ASTPtr & query, bool is_select, bool visit_index_hint)
|
|
{
|
|
/// We calculate required_source_columns with source_columns modifications and swap them on exit
|
|
required_source_columns = source_columns;
|
|
|
|
RequiredSourceColumnsVisitor::Data columns_context;
|
|
columns_context.visit_index_hint = visit_index_hint;
|
|
RequiredSourceColumnsVisitor(columns_context).visit(query);
|
|
|
|
NameSet source_column_names;
|
|
for (const auto & column : source_columns)
|
|
source_column_names.insert(column.name);
|
|
|
|
NameSet required = columns_context.requiredColumns();
|
|
if (columns_context.has_table_join)
|
|
{
|
|
NameSet available_columns;
|
|
for (const auto & name : source_columns)
|
|
available_columns.insert(name.name);
|
|
|
|
/// Add columns obtained by JOIN (if needed).
|
|
for (const auto & joined_column : analyzed_join->columnsFromJoinedTable())
|
|
{
|
|
const auto & name = joined_column.name;
|
|
if (available_columns.contains(name))
|
|
continue;
|
|
|
|
if (required.contains(name))
|
|
{
|
|
/// Optimisation: do not add columns needed only in JOIN ON section.
|
|
if (columns_context.nameInclusion(name) > analyzed_join->rightKeyInclusion(name))
|
|
analyzed_join->addJoinedColumn(joined_column);
|
|
|
|
required.erase(name);
|
|
}
|
|
}
|
|
}
|
|
|
|
NameSet array_join_sources;
|
|
if (columns_context.has_array_join)
|
|
{
|
|
/// Insert the columns required for the ARRAY JOIN calculation into the required columns list.
|
|
for (const auto & result_source : array_join_result_to_source)
|
|
array_join_sources.insert(result_source.second);
|
|
|
|
for (const auto & column_name_type : source_columns)
|
|
if (array_join_sources.contains(column_name_type.name))
|
|
required.insert(column_name_type.name);
|
|
}
|
|
|
|
/// Figure out if we're able to use the trivial count optimization.
|
|
has_explicit_columns = !required.empty();
|
|
if (is_select && !has_explicit_columns)
|
|
{
|
|
optimize_trivial_count = !columns_context.has_array_join;
|
|
|
|
/// You need to read at least one column to find the number of rows.
|
|
/// We will find a column with minimum <compressed_size, type_size, uncompressed_size>.
|
|
/// Because it is the column that is cheapest to read.
|
|
struct ColumnSizeTuple
|
|
{
|
|
size_t compressed_size;
|
|
size_t type_size;
|
|
size_t uncompressed_size;
|
|
String name;
|
|
|
|
bool operator<(const ColumnSizeTuple & that) const
|
|
{
|
|
return std::tie(compressed_size, type_size, uncompressed_size)
|
|
< std::tie(that.compressed_size, that.type_size, that.uncompressed_size);
|
|
}
|
|
};
|
|
|
|
std::vector<ColumnSizeTuple> columns;
|
|
if (storage)
|
|
{
|
|
auto column_sizes = storage->getColumnSizes();
|
|
for (auto & source_column : source_columns)
|
|
{
|
|
auto c = column_sizes.find(source_column.name);
|
|
if (c == column_sizes.end())
|
|
continue;
|
|
size_t type_size = source_column.type->haveMaximumSizeOfValue() ? source_column.type->getMaximumSizeOfValueInMemory() : 100;
|
|
columns.emplace_back(ColumnSizeTuple{c->second.data_compressed, type_size, c->second.data_uncompressed, source_column.name});
|
|
}
|
|
}
|
|
|
|
if (!columns.empty())
|
|
required.insert(std::min_element(columns.begin(), columns.end())->name);
|
|
else if (!source_columns.empty())
|
|
/// If we have no information about columns sizes, choose a column of minimum size of its data type.
|
|
required.insert(ExpressionActions::getSmallestColumn(source_columns).name);
|
|
}
|
|
else if (is_select && storage_snapshot && !columns_context.has_array_join)
|
|
{
|
|
const auto & partition_desc = storage_snapshot->metadata->getPartitionKey();
|
|
if (partition_desc.expression)
|
|
{
|
|
auto partition_source_columns = partition_desc.expression->getRequiredColumns();
|
|
partition_source_columns.push_back("_part");
|
|
partition_source_columns.push_back("_partition_id");
|
|
partition_source_columns.push_back("_part_uuid");
|
|
partition_source_columns.push_back("_partition_value");
|
|
optimize_trivial_count = true;
|
|
for (const auto & required_column : required)
|
|
{
|
|
if (std::find(partition_source_columns.begin(), partition_source_columns.end(), required_column)
|
|
== partition_source_columns.end())
|
|
{
|
|
optimize_trivial_count = false;
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
NameSet unknown_required_source_columns = required;
|
|
|
|
for (NamesAndTypesList::iterator it = source_columns.begin(); it != source_columns.end();)
|
|
{
|
|
const String & column_name = it->name;
|
|
unknown_required_source_columns.erase(column_name);
|
|
|
|
if (!required.contains(column_name))
|
|
it = source_columns.erase(it);
|
|
else
|
|
++it;
|
|
}
|
|
|
|
has_virtual_shard_num = false;
|
|
/// If there are virtual columns among the unknown columns. Remove them from the list of unknown and add
|
|
/// in columns list, so that when further processing they are also considered.
|
|
if (storage)
|
|
{
|
|
const auto storage_virtuals = storage->getVirtuals();
|
|
for (auto it = unknown_required_source_columns.begin(); it != unknown_required_source_columns.end();)
|
|
{
|
|
auto column = storage_virtuals.tryGetByName(*it);
|
|
if (column)
|
|
{
|
|
source_columns.push_back(*column);
|
|
it = unknown_required_source_columns.erase(it);
|
|
}
|
|
else
|
|
++it;
|
|
}
|
|
|
|
if (is_remote_storage)
|
|
{
|
|
for (const auto & name_type : storage_virtuals)
|
|
{
|
|
if (name_type.name == "_shard_num" && storage->isVirtualColumn("_shard_num", storage_snapshot->getMetadataForQuery()))
|
|
{
|
|
has_virtual_shard_num = true;
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if (!unknown_required_source_columns.empty())
|
|
{
|
|
WriteBufferFromOwnString ss;
|
|
ss << "Missing columns:";
|
|
for (const auto & name : unknown_required_source_columns)
|
|
ss << " '" << name << "'";
|
|
ss << " while processing query: '" << queryToString(query) << "'";
|
|
|
|
ss << ", required columns:";
|
|
for (const auto & name : columns_context.requiredColumns())
|
|
ss << " '" << name << "'";
|
|
|
|
if (storage)
|
|
{
|
|
std::vector<String> hint_name{};
|
|
std::set<String> helper_hint_name{};
|
|
for (const auto & name : columns_context.requiredColumns())
|
|
{
|
|
auto hints = storage->getHints(name);
|
|
for (const auto & hint : hints)
|
|
{
|
|
// We want to preserve the ordering of the hints
|
|
// (as they are ordered by Levenshtein distance)
|
|
auto [_, inserted] = helper_hint_name.insert(hint);
|
|
if (inserted)
|
|
hint_name.push_back(hint);
|
|
}
|
|
}
|
|
|
|
if (!hint_name.empty())
|
|
{
|
|
ss << ", maybe you meant: ";
|
|
ss << toStringWithFinalSeparator(hint_name, " or ");
|
|
}
|
|
}
|
|
else
|
|
{
|
|
if (!source_column_names.empty())
|
|
for (const auto & name : columns_context.requiredColumns())
|
|
ss << " '" << name << "'";
|
|
else
|
|
ss << ", no source columns";
|
|
}
|
|
|
|
if (columns_context.has_table_join)
|
|
{
|
|
ss << ", joined columns:";
|
|
for (const auto & column : analyzed_join->columnsFromJoinedTable())
|
|
ss << " '" << column.name << "'";
|
|
}
|
|
|
|
if (!array_join_sources.empty())
|
|
{
|
|
ss << ", arrayJoin columns:";
|
|
for (const auto & name : array_join_sources)
|
|
ss << " '" << name << "'";
|
|
}
|
|
|
|
throw Exception(ss.str(), ErrorCodes::UNKNOWN_IDENTIFIER);
|
|
}
|
|
|
|
required_source_columns.swap(source_columns);
|
|
for (const auto & column : required_source_columns)
|
|
{
|
|
source_column_names.insert(column.name);
|
|
}
|
|
}
|
|
|
|
NameSet TreeRewriterResult::getArrayJoinSourceNameSet() const
|
|
{
|
|
NameSet forbidden_columns;
|
|
for (const auto & elem : array_join_result_to_source)
|
|
forbidden_columns.insert(elem.first);
|
|
return forbidden_columns;
|
|
}
|
|
|
|
TreeRewriterResultPtr TreeRewriter::analyzeSelect(
|
|
ASTPtr & query,
|
|
TreeRewriterResult && result,
|
|
const SelectQueryOptions & select_options,
|
|
const TablesWithColumns & tables_with_columns,
|
|
const Names & required_result_columns,
|
|
std::shared_ptr<TableJoin> table_join,
|
|
bool is_parameterized_view,
|
|
const NameToNameMap parameter_values,
|
|
const NameToNameMap parameter_types) const
|
|
{
|
|
auto * select_query = query->as<ASTSelectQuery>();
|
|
if (!select_query)
|
|
throw Exception(ErrorCodes::LOGICAL_ERROR, "Select analyze for not select asts.");
|
|
|
|
size_t subquery_depth = select_options.subquery_depth;
|
|
bool remove_duplicates = select_options.remove_duplicates;
|
|
|
|
const auto & settings = getContext()->getSettingsRef();
|
|
|
|
const NameSet & source_columns_set = result.source_columns_set;
|
|
|
|
if (table_join)
|
|
{
|
|
result.analyzed_join = table_join;
|
|
result.analyzed_join->resetCollected();
|
|
}
|
|
else /// TODO: remove. For now ExpressionAnalyzer expects some not empty object here
|
|
result.analyzed_join = std::make_shared<TableJoin>();
|
|
|
|
if (remove_duplicates)
|
|
renameDuplicatedColumns(select_query);
|
|
|
|
/// Perform it before analyzing JOINs, because it may change number of columns with names unique and break some logic inside JOINs
|
|
if (settings.optimize_normalize_count_variants)
|
|
TreeOptimizer::optimizeCountConstantAndSumOne(query, getContext());
|
|
|
|
if (tables_with_columns.size() > 1)
|
|
{
|
|
const auto & right_table = tables_with_columns[1];
|
|
auto columns_from_joined_table = right_table.columns;
|
|
/// query can use materialized or aliased columns from right joined table,
|
|
/// we want to request it for right table
|
|
columns_from_joined_table.insert(columns_from_joined_table.end(), right_table.hidden_columns.begin(), right_table.hidden_columns.end());
|
|
result.analyzed_join->setColumnsFromJoinedTable(std::move(columns_from_joined_table), source_columns_set, right_table.table.getQualifiedNamePrefix());
|
|
}
|
|
|
|
translateQualifiedNames(query, *select_query, source_columns_set, tables_with_columns, parameter_values, parameter_types);
|
|
|
|
/// Optimizes logical expressions.
|
|
LogicalExpressionsOptimizer(select_query, tables_with_columns, settings.optimize_min_equality_disjunction_chain_length.value).perform();
|
|
|
|
NameSet all_source_columns_set = source_columns_set;
|
|
if (table_join)
|
|
{
|
|
for (const auto & [name, _] : table_join->columnsFromJoinedTable())
|
|
all_source_columns_set.insert(name);
|
|
}
|
|
|
|
normalize(query, result.aliases, all_source_columns_set, select_options.ignore_alias, settings, /* allow_self_aliases = */ true, getContext(), select_options.is_create_parameterized_view);
|
|
|
|
// expand GROUP BY ALL
|
|
if (select_query->group_by_all)
|
|
expandGroupByAll(select_query);
|
|
|
|
/// Remove unneeded columns according to 'required_result_columns'.
|
|
/// Leave all selected columns in case of DISTINCT; columns that contain arrayJoin function inside.
|
|
/// Must be after 'normalizeTree' (after expanding aliases, for aliases not get lost)
|
|
/// and before 'executeScalarSubqueries', 'analyzeAggregation', etc. to avoid excessive calculations.
|
|
removeUnneededColumnsFromSelectClause(select_query, required_result_columns, remove_duplicates);
|
|
|
|
/// Executing scalar subqueries - replacing them with constant values.
|
|
executeScalarSubqueries(query, getContext(), subquery_depth, result.scalars, result.local_scalars, select_options.only_analyze);
|
|
|
|
if (settings.legacy_column_name_of_tuple_literal)
|
|
markTupleLiteralsAsLegacy(query);
|
|
|
|
/// Push the predicate expression down to subqueries. The optimization should be applied to both initial and secondary queries.
|
|
result.rewrite_subqueries = PredicateExpressionsOptimizer(getContext(), tables_with_columns, settings).optimize(*select_query);
|
|
|
|
TreeOptimizer::optimizeIf(query, result.aliases, settings.optimize_if_chain_to_multiif);
|
|
|
|
/// Only apply AST optimization for initial queries.
|
|
const bool ast_optimizations_allowed
|
|
= getContext()->getClientInfo().query_kind != ClientInfo::QueryKind::SECONDARY_QUERY && !select_options.ignore_ast_optimizations;
|
|
if (ast_optimizations_allowed)
|
|
TreeOptimizer::apply(query, result, tables_with_columns, getContext());
|
|
|
|
/// array_join_alias_to_name, array_join_result_to_source.
|
|
getArrayJoinedColumns(query, result, select_query, result.source_columns, source_columns_set);
|
|
|
|
setJoinStrictness(
|
|
*select_query, settings.join_default_strictness, settings.any_join_distinct_right_table_keys, result.analyzed_join);
|
|
|
|
auto * table_join_ast = select_query->join() ? select_query->join()->table_join->as<ASTTableJoin>() : nullptr;
|
|
if (table_join_ast && tables_with_columns.size() >= 2)
|
|
collectJoinedColumns(*result.analyzed_join, *table_join_ast, tables_with_columns, result.aliases, getContext());
|
|
|
|
result.aggregates = getAggregates(query, *select_query);
|
|
result.window_function_asts = getWindowFunctions(query, *select_query);
|
|
result.expressions_with_window_function = getExpressionsWithWindowFunctions(query);
|
|
|
|
/// replaceQueryParameterWithValue is used for parameterized view (which are created using query parameters
|
|
/// and SELECT is used with substitution of these query parameters )
|
|
/// the replaced column names will be used in the next steps
|
|
if (is_parameterized_view)
|
|
{
|
|
for (auto & column : result.source_columns)
|
|
column.name = StorageView::replaceQueryParameterWithValue(column.name, parameter_values, parameter_types);
|
|
}
|
|
|
|
result.collectUsedColumns(query, true, settings.query_plan_optimize_primary_key);
|
|
|
|
result.required_source_columns_before_expanding_alias_columns = result.required_source_columns.getNames();
|
|
|
|
/// rewrite filters for select query, must go after getArrayJoinedColumns
|
|
bool is_initiator = getContext()->getClientInfo().distributed_depth == 0;
|
|
if (settings.optimize_respect_aliases && result.storage_snapshot && is_initiator)
|
|
{
|
|
std::unordered_set<IAST *> excluded_nodes;
|
|
{
|
|
/// Do not replace ALIASed columns in JOIN ON/USING sections
|
|
if (table_join_ast && table_join_ast->on_expression)
|
|
excluded_nodes.insert(table_join_ast->on_expression.get());
|
|
if (table_join_ast && table_join_ast->using_expression_list)
|
|
excluded_nodes.insert(table_join_ast->using_expression_list.get());
|
|
}
|
|
|
|
bool is_changed = replaceAliasColumnsInQuery(query, result.storage_snapshot->metadata->getColumns(),
|
|
result.array_join_result_to_source, getContext(), excluded_nodes);
|
|
/// If query is changed, we need to redo some work to correct name resolution.
|
|
if (is_changed)
|
|
{
|
|
/// We should re-apply the optimization, because an expression substituted from alias column might be a function of a group key.
|
|
if (ast_optimizations_allowed && settings.optimize_group_by_function_keys)
|
|
TreeOptimizer::optimizeGroupByFunctionKeys(select_query);
|
|
|
|
result.aggregates = getAggregates(query, *select_query);
|
|
result.window_function_asts = getWindowFunctions(query, *select_query);
|
|
result.expressions_with_window_function = getExpressionsWithWindowFunctions(query);
|
|
result.collectUsedColumns(query, true, settings.query_plan_optimize_primary_key);
|
|
}
|
|
}
|
|
|
|
/// Rewrite _shard_num to shardNum()
|
|
if (result.has_virtual_shard_num)
|
|
{
|
|
RewriteShardNumVisitor::Data data_rewrite_shard_num;
|
|
RewriteShardNumVisitor(data_rewrite_shard_num).visit(query);
|
|
}
|
|
|
|
result.ast_join = select_query->join();
|
|
|
|
if (result.optimize_trivial_count)
|
|
result.optimize_trivial_count = settings.optimize_trivial_count_query &&
|
|
!select_query->groupBy() && !select_query->having() &&
|
|
!select_query->sampleSize() && !select_query->sampleOffset() && !select_query->final() &&
|
|
(tables_with_columns.size() < 2 || isLeft(result.analyzed_join->kind()));
|
|
|
|
// remove outer braces in order by
|
|
RewriteOrderByVisitor::Data data;
|
|
RewriteOrderByVisitor(data).visit(query);
|
|
|
|
return std::make_shared<const TreeRewriterResult>(result);
|
|
}
|
|
|
|
TreeRewriterResultPtr TreeRewriter::analyze(
|
|
ASTPtr & query,
|
|
const NamesAndTypesList & source_columns,
|
|
ConstStoragePtr storage,
|
|
const StorageSnapshotPtr & storage_snapshot,
|
|
bool allow_aggregations,
|
|
bool allow_self_aliases,
|
|
bool execute_scalar_subqueries,
|
|
bool is_create_parameterized_view) const
|
|
{
|
|
if (query->as<ASTSelectQuery>())
|
|
throw Exception(ErrorCodes::LOGICAL_ERROR, "Not select analyze for select asts.");
|
|
|
|
const auto & settings = getContext()->getSettingsRef();
|
|
|
|
TreeRewriterResult result(source_columns, storage, storage_snapshot, false);
|
|
|
|
normalize(query, result.aliases, result.source_columns_set, false, settings, allow_self_aliases, getContext(), is_create_parameterized_view);
|
|
|
|
/// Executing scalar subqueries. Column defaults could be a scalar subquery.
|
|
executeScalarSubqueries(query, getContext(), 0, result.scalars, result.local_scalars, !execute_scalar_subqueries);
|
|
|
|
if (settings.legacy_column_name_of_tuple_literal)
|
|
markTupleLiteralsAsLegacy(query);
|
|
|
|
TreeOptimizer::optimizeIf(query, result.aliases, settings.optimize_if_chain_to_multiif);
|
|
|
|
if (allow_aggregations)
|
|
{
|
|
GetAggregatesVisitor::Data data;
|
|
GetAggregatesVisitor(data).visit(query);
|
|
|
|
/// There can not be other aggregate functions within the aggregate functions.
|
|
for (const ASTFunction * node : data.aggregates)
|
|
for (auto & arg : node->arguments->children)
|
|
assertNoAggregates(arg, "inside another aggregate function");
|
|
result.aggregates = data.aggregates;
|
|
}
|
|
else
|
|
assertNoAggregates(query, "in wrong place");
|
|
|
|
result.collectUsedColumns(query, false, settings.query_plan_optimize_primary_key);
|
|
return std::make_shared<const TreeRewriterResult>(result);
|
|
}
|
|
|
|
void TreeRewriter::normalize(
|
|
ASTPtr & query, Aliases & aliases, const NameSet & source_columns_set, bool ignore_alias, const Settings & settings, bool allow_self_aliases, ContextPtr context_, bool is_create_parameterized_view)
|
|
{
|
|
if (!UserDefinedSQLFunctionFactory::instance().empty())
|
|
UserDefinedSQLFunctionVisitor::visit(query);
|
|
|
|
CustomizeCountDistinctVisitor::Data data_count_distinct{settings.count_distinct_implementation};
|
|
CustomizeCountDistinctVisitor(data_count_distinct).visit(query);
|
|
|
|
CustomizeCountIfDistinctVisitor::Data data_count_if_distinct{settings.count_distinct_implementation.toString() + "If"};
|
|
CustomizeCountIfDistinctVisitor(data_count_if_distinct).visit(query);
|
|
|
|
CustomizeIfDistinctVisitor::Data data_distinct_if{"DistinctIf"};
|
|
CustomizeIfDistinctVisitor(data_distinct_if).visit(query);
|
|
|
|
ExistsExpressionVisitor::Data exists;
|
|
ExistsExpressionVisitor(exists).visit(query);
|
|
|
|
if (context_->getSettingsRef().enable_positional_arguments)
|
|
{
|
|
ReplacePositionalArgumentsVisitor::Data data_replace_positional_arguments;
|
|
ReplacePositionalArgumentsVisitor(data_replace_positional_arguments).visit(query);
|
|
}
|
|
|
|
if (settings.transform_null_in)
|
|
{
|
|
CustomizeInVisitor::Data data_null_in{"nullIn"};
|
|
CustomizeInVisitor(data_null_in).visit(query);
|
|
|
|
CustomizeNotInVisitor::Data data_not_null_in{"notNullIn"};
|
|
CustomizeNotInVisitor(data_not_null_in).visit(query);
|
|
|
|
CustomizeGlobalInVisitor::Data data_global_null_in{"globalNullIn"};
|
|
CustomizeGlobalInVisitor(data_global_null_in).visit(query);
|
|
|
|
CustomizeGlobalNotInVisitor::Data data_global_not_null_in{"globalNotNullIn"};
|
|
CustomizeGlobalNotInVisitor(data_global_not_null_in).visit(query);
|
|
}
|
|
|
|
/// Rewrite all aggregate functions to add -OrNull suffix to them
|
|
if (settings.aggregate_functions_null_for_empty)
|
|
{
|
|
CustomizeAggregateFunctionsOrNullVisitor::Data data_or_null{"OrNull"};
|
|
CustomizeAggregateFunctionsOrNullVisitor(data_or_null).visit(query);
|
|
}
|
|
|
|
/// Move -OrNull suffix ahead, this should execute after add -OrNull suffix
|
|
CustomizeAggregateFunctionsMoveOrNullVisitor::Data data_or_null{"OrNull"};
|
|
CustomizeAggregateFunctionsMoveOrNullVisitor(data_or_null).visit(query);
|
|
|
|
/// Creates a dictionary `aliases`: alias -> ASTPtr
|
|
QueryAliasesVisitor(aliases).visit(query);
|
|
|
|
/// Mark table ASTIdentifiers with not a column marker
|
|
MarkTableIdentifiersVisitor::Data identifiers_data{aliases};
|
|
MarkTableIdentifiersVisitor(identifiers_data).visit(query);
|
|
|
|
/// Rewrite function names to their canonical ones.
|
|
/// Notice: function name normalization is disabled when it's a secondary query, because queries are either
|
|
/// already normalized on initiator node, or not normalized and should remain unnormalized for
|
|
/// compatibility.
|
|
if (context_->getClientInfo().query_kind != ClientInfo::QueryKind::SECONDARY_QUERY && settings.normalize_function_names)
|
|
FunctionNameNormalizer().visit(query.get());
|
|
|
|
/// Common subexpression elimination. Rewrite rules.
|
|
QueryNormalizer::Data normalizer_data(aliases, source_columns_set, ignore_alias, settings, allow_self_aliases, is_create_parameterized_view);
|
|
QueryNormalizer(normalizer_data).visit(query);
|
|
|
|
optimizeGroupingSets(query);
|
|
}
|
|
|
|
}
|