2022-09-15 14:09:30 +00:00
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#include <Planner/PlannerJoinTree.h>
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2023-03-20 10:29:27 +00:00
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#include <Common/scope_guard_safe.h>
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#include <Columns/ColumnAggregateFunction.h>
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2022-09-15 14:09:30 +00:00
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#include <DataTypes/DataTypeString.h>
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2023-03-01 20:19:51 +00:00
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#include <DataTypes/DataTypeAggregateFunction.h>
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2023-02-24 12:46:09 +00:00
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#include <DataTypes/DataTypeLowCardinality.h>
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2022-09-15 14:09:30 +00:00
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#include <Functions/FunctionFactory.h>
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2023-03-20 10:29:27 +00:00
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#include <AggregateFunctions/AggregateFunctionCount.h>
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2022-10-12 14:16:01 +00:00
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#include <Access/Common/AccessFlags.h>
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#include <Access/ContextAccess.h>
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2022-09-15 14:09:30 +00:00
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#include <Storages/IStorage.h>
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2022-09-28 11:20:24 +00:00
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#include <Storages/StorageDictionary.h>
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2023-03-27 13:07:24 +00:00
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#include <Storages/StorageDistributed.h>
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2022-09-15 14:09:30 +00:00
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2022-12-23 17:45:28 +00:00
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#include <Analyzer/ConstantNode.h>
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2022-09-15 14:09:30 +00:00
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#include <Analyzer/ColumnNode.h>
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2023-03-20 10:29:27 +00:00
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#include <Analyzer/FunctionNode.h>
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2022-09-15 14:09:30 +00:00
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#include <Analyzer/TableNode.h>
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#include <Analyzer/TableFunctionNode.h>
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#include <Analyzer/QueryNode.h>
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#include <Analyzer/UnionNode.h>
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#include <Analyzer/JoinNode.h>
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#include <Analyzer/ArrayJoinNode.h>
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2022-12-23 17:45:28 +00:00
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#include <Analyzer/Utils.h>
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2023-03-01 20:19:51 +00:00
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#include <Analyzer/AggregationUtils.h>
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2023-03-20 10:29:27 +00:00
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#include <Analyzer/Passes/QueryAnalysisPass.h>
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#include <Analyzer/QueryTreeBuilder.h>
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2022-09-15 14:09:30 +00:00
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2023-04-11 14:08:28 +00:00
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#include <Parsers/ExpressionListParsers.h>
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#include <Parsers/parseQuery.h>
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2022-09-15 14:09:30 +00:00
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#include <Processors/Sources/NullSource.h>
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2022-10-18 11:35:04 +00:00
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#include <Processors/QueryPlan/SortingStep.h>
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#include <Processors/QueryPlan/CreateSetAndFilterOnTheFlyStep.h>
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2022-09-15 14:09:30 +00:00
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#include <Processors/QueryPlan/ReadFromPreparedSource.h>
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#include <Processors/QueryPlan/ExpressionStep.h>
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2023-03-20 10:29:27 +00:00
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#include <Processors/QueryPlan/FilterStep.h>
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2022-09-15 14:09:30 +00:00
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#include <Processors/QueryPlan/JoinStep.h>
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#include <Processors/QueryPlan/ArrayJoinStep.h>
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2023-03-01 20:19:51 +00:00
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#include <Processors/Sources/SourceFromSingleChunk.h>
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2022-09-15 14:09:30 +00:00
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#include <Interpreters/Context.h>
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#include <Interpreters/IJoin.h>
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#include <Interpreters/TableJoin.h>
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#include <Interpreters/HashJoin.h>
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#include <Interpreters/ArrayJoinAction.h>
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2023-03-27 13:07:24 +00:00
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#include <Interpreters/getCustomKeyFilterForParallelReplicas.h>
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2022-09-15 14:09:30 +00:00
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2023-01-11 11:54:28 +00:00
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#include <Planner/CollectColumnIdentifiers.h>
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2022-09-15 14:09:30 +00:00
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#include <Planner/Planner.h>
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#include <Planner/PlannerJoins.h>
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#include <Planner/PlannerActionsVisitor.h>
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#include <Planner/Utils.h>
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2023-03-20 10:29:27 +00:00
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#include <Planner/CollectSets.h>
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#include <Planner/CollectTableExpressionData.h>
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2023-02-28 11:35:36 +00:00
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2022-09-15 14:09:30 +00:00
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namespace DB
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{
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2022-09-27 15:04:03 +00:00
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namespace ErrorCodes
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{
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extern const int INVALID_JOIN_ON_EXPRESSION;
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2022-10-04 20:45:47 +00:00
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extern const int LOGICAL_ERROR;
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extern const int NOT_IMPLEMENTED;
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extern const int SYNTAX_ERROR;
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2022-10-12 14:16:01 +00:00
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extern const int ACCESS_DENIED;
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2022-12-23 17:45:28 +00:00
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extern const int PARAMETER_OUT_OF_BOUND;
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extern const int TOO_MANY_COLUMNS;
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extern const int UNSUPPORTED_METHOD;
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2023-03-20 10:29:27 +00:00
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extern const int BAD_ARGUMENTS;
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2022-09-27 15:04:03 +00:00
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}
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2022-09-15 14:09:30 +00:00
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namespace
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{
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2022-10-12 14:16:01 +00:00
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/// Check if current user has privileges to SELECT columns from table
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void checkAccessRights(const TableNode & table_node, const Names & column_names, const ContextPtr & query_context)
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{
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const auto & storage_id = table_node.getStorageID();
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const auto & storage_snapshot = table_node.getStorageSnapshot();
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if (column_names.empty())
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{
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/** For a trivial queries like "SELECT count() FROM table", "SELECT 1 FROM table" access is granted if at least
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* one table column is accessible.
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*/
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auto access = query_context->getAccess();
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for (const auto & column : storage_snapshot->metadata->getColumns())
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{
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if (access->isGranted(AccessType::SELECT, storage_id.database_name, storage_id.table_name, column.name))
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return;
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}
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throw Exception(ErrorCodes::ACCESS_DENIED,
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"{}: Not enough privileges. To execute this query it's necessary to have grant SELECT for at least one column on {}",
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query_context->getUserName(),
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storage_id.getFullTableName());
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}
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2023-06-05 11:02:23 +00:00
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// In case of cross-replication we don't know what database is used for the table.
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// `storage_id.hasDatabase()` can return false only on the initiator node.
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// Each shard will use the default database (in the case of cross-replication shards may have different defaults).
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2023-05-22 11:54:33 +00:00
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if (storage_id.hasDatabase())
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query_context->checkAccess(AccessType::SELECT, storage_id, column_names);
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2022-10-12 14:16:01 +00:00
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}
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2023-01-09 10:34:47 +00:00
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NameAndTypePair chooseSmallestColumnToReadFromStorage(const StoragePtr & storage, const StorageSnapshotPtr & storage_snapshot)
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{
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/** We need to read at least one column to find the number of rows.
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* We will find a column with minimum <compressed_size, type_size, uncompressed_size>.
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* Because it is the column that is cheapest to read.
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*/
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class ColumnWithSize
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{
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public:
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ColumnWithSize(NameAndTypePair column_, ColumnSize column_size_)
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: column(std::move(column_))
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, compressed_size(column_size_.data_compressed)
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, uncompressed_size(column_size_.data_uncompressed)
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, type_size(column.type->haveMaximumSizeOfValue() ? column.type->getMaximumSizeOfValueInMemory() : 100)
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{
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}
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bool operator<(const ColumnWithSize & rhs) const
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{
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return std::tie(compressed_size, type_size, uncompressed_size)
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< std::tie(rhs.compressed_size, rhs.type_size, rhs.uncompressed_size);
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}
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NameAndTypePair column;
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size_t compressed_size = 0;
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size_t uncompressed_size = 0;
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size_t type_size = 0;
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};
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std::vector<ColumnWithSize> columns_with_sizes;
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auto column_sizes = storage->getColumnSizes();
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auto column_names_and_types = storage_snapshot->getColumns(GetColumnsOptions(GetColumnsOptions::AllPhysical).withSubcolumns());
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if (!column_sizes.empty())
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{
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for (auto & column_name_and_type : column_names_and_types)
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{
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auto it = column_sizes.find(column_name_and_type.name);
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if (it == column_sizes.end())
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continue;
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columns_with_sizes.emplace_back(column_name_and_type, it->second);
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}
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}
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NameAndTypePair result;
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if (!columns_with_sizes.empty())
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result = std::min_element(columns_with_sizes.begin(), columns_with_sizes.end())->column;
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else
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/// If we have no information about columns sizes, choose a column of minimum size of its data type
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result = ExpressionActions::getSmallestColumn(column_names_and_types);
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return result;
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}
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2023-02-26 22:19:01 +00:00
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bool applyTrivialCountIfPossible(
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QueryPlan & query_plan,
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const TableNode & table_node,
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2023-02-27 17:37:29 +00:00
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const QueryTreeNodePtr & query_tree,
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2023-06-06 16:38:32 +00:00
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ContextMutablePtr & query_context,
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2023-02-26 22:19:01 +00:00
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const Names & columns_names)
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{
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const auto & settings = query_context->getSettingsRef();
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if (!settings.optimize_trivial_count_query)
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return false;
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2023-03-20 10:29:27 +00:00
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const auto & storage = table_node.getStorage();
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auto storage_id = storage->getStorageID();
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auto row_policy_filter = query_context->getRowPolicyFilter(storage_id.getDatabaseName(),
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storage_id.getTableName(),
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RowPolicyFilterType::SELECT_FILTER);
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if (row_policy_filter)
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return {};
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/** Transaction check here is necessary because
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* MergeTree maintains total count for all parts in Active state and it simply returns that number for trivial select count() from table query.
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* But if we have current transaction, then we should return number of rows in current snapshot (that may include parts in Outdated state),
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* so we have to use totalRowsByPartitionPredicate() instead of totalRows even for trivial query
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* See https://github.com/ClickHouse/ClickHouse/pull/24258/files#r828182031
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*/
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if (query_context->getCurrentTransaction())
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return false;
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2023-02-27 10:56:59 +00:00
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/// can't apply if FINAL
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2023-03-20 10:29:27 +00:00
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if (table_node.getTableExpressionModifiers().has_value() &&
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(table_node.getTableExpressionModifiers()->hasFinal() || table_node.getTableExpressionModifiers()->hasSampleSizeRatio() ||
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table_node.getTableExpressionModifiers()->hasSampleOffsetRatio()))
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2023-02-27 17:37:29 +00:00
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return false;
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2023-03-20 10:29:27 +00:00
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// TODO: It's possible to optimize count() given only partition predicates
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2023-02-27 17:37:29 +00:00
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auto & main_query_node = query_tree->as<QueryNode &>();
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2023-03-20 10:29:27 +00:00
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if (main_query_node.hasGroupBy() || main_query_node.hasPrewhere() || main_query_node.hasWhere())
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2023-02-27 10:56:59 +00:00
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return false;
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2023-03-20 10:29:27 +00:00
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if (storage->hasLightweightDeletedMask())
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2023-02-27 17:37:29 +00:00
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return false;
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2023-02-26 22:19:01 +00:00
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2023-06-06 16:38:32 +00:00
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if (settings.allow_experimental_query_deduplication
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2023-03-01 20:19:51 +00:00
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|| settings.empty_result_for_aggregation_by_empty_set)
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2023-02-26 22:19:01 +00:00
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return false;
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2023-02-27 17:37:29 +00:00
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QueryTreeNodes aggregates = collectAggregateFunctionNodes(query_tree);
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2023-02-26 22:19:01 +00:00
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if (aggregates.size() != 1)
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return false;
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2023-03-01 20:19:51 +00:00
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const auto & function_node = aggregates.front().get()->as<const FunctionNode &>();
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chassert(function_node.getAggregateFunction() != nullptr);
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const auto * count_func = typeid_cast<const AggregateFunctionCount *>(function_node.getAggregateFunction().get());
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2023-02-26 22:19:01 +00:00
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if (!count_func)
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return false;
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2023-03-20 10:29:27 +00:00
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/// Get number of rows
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std::optional<UInt64> num_rows = storage->totalRows(settings);
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2023-02-26 22:19:01 +00:00
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if (!num_rows)
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return false;
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2023-06-06 16:38:32 +00:00
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if (settings.max_parallel_replicas > 1)
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{
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if (!settings.parallel_replicas_custom_key.value.empty() || settings.allow_experimental_parallel_reading_from_replicas == 0)
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return false;
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/// The query could use trivial count if it didn't use parallel replicas, so let's disable it
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query_context->setSetting("allow_experimental_parallel_reading_from_replicas", Field(0));
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query_context->setSetting("max_parallel_replicas", UInt64{0});
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LOG_TRACE(&Poco::Logger::get("Planner"), "Disabling parallel replicas to be able to use a trivial count optimization");
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}
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2023-03-20 10:29:27 +00:00
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/// Set aggregation state
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2023-02-26 22:19:01 +00:00
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const AggregateFunctionCount & agg_count = *count_func;
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std::vector<char> state(agg_count.sizeOfData());
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AggregateDataPtr place = state.data();
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agg_count.create(place);
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2023-02-28 11:35:36 +00:00
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SCOPE_EXIT_MEMORY_SAFE(agg_count.destroy(place));
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2023-02-26 22:19:01 +00:00
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agg_count.set(place, num_rows.value());
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2023-03-01 20:19:51 +00:00
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auto column = ColumnAggregateFunction::create(function_node.getAggregateFunction());
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2023-02-26 22:19:01 +00:00
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column->insertFrom(place);
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/// get count() argument type
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DataTypes argument_types;
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argument_types.reserve(columns_names.size());
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{
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2023-02-27 17:37:29 +00:00
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const Block source_header = table_node.getStorageSnapshot()->getSampleBlockForColumns(columns_names);
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2023-02-26 22:19:01 +00:00
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for (const auto & column_name : columns_names)
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argument_types.push_back(source_header.getByName(column_name).type);
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}
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Block block_with_count{
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{std::move(column),
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2023-03-01 20:19:51 +00:00
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std::make_shared<DataTypeAggregateFunction>(function_node.getAggregateFunction(), argument_types, Array{}),
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2023-02-26 22:19:01 +00:00
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columns_names.front()}};
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auto source = std::make_shared<SourceFromSingleChunk>(block_with_count);
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auto prepared_count = std::make_unique<ReadFromPreparedSource>(Pipe(std::move(source)));
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prepared_count->setStepDescription("Optimized trivial count");
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query_plan.addStep(std::move(prepared_count));
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return true;
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}
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2023-03-03 16:01:50 +00:00
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void prepareBuildQueryPlanForTableExpression(const QueryTreeNodePtr & table_expression, PlannerContextPtr & planner_context)
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{
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const auto & query_context = planner_context->getQueryContext();
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const auto & settings = query_context->getSettingsRef();
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auto & table_expression_data = planner_context->getTableExpressionDataOrThrow(table_expression);
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auto columns_names = table_expression_data.getColumnNames();
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auto * table_node = table_expression->as<TableNode>();
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auto * table_function_node = table_expression->as<TableFunctionNode>();
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auto * query_node = table_expression->as<QueryNode>();
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|
auto * union_node = table_expression->as<UnionNode>();
|
|
|
|
|
|
|
|
/** The current user must have the SELECT privilege.
|
|
|
|
* We do not check access rights for table functions because they have been already checked in ITableFunction::execute().
|
|
|
|
*/
|
|
|
|
if (table_node)
|
|
|
|
{
|
|
|
|
auto column_names_with_aliases = columns_names;
|
|
|
|
const auto & alias_columns_names = table_expression_data.getAliasColumnsNames();
|
|
|
|
column_names_with_aliases.insert(column_names_with_aliases.end(), alias_columns_names.begin(), alias_columns_names.end());
|
|
|
|
checkAccessRights(*table_node, column_names_with_aliases, query_context);
|
|
|
|
}
|
|
|
|
|
|
|
|
if (columns_names.empty())
|
|
|
|
{
|
|
|
|
NameAndTypePair additional_column_to_read;
|
|
|
|
|
|
|
|
if (table_node || table_function_node)
|
|
|
|
{
|
|
|
|
const auto & storage = table_node ? table_node->getStorage() : table_function_node->getStorage();
|
|
|
|
const auto & storage_snapshot = table_node ? table_node->getStorageSnapshot() : table_function_node->getStorageSnapshot();
|
|
|
|
additional_column_to_read = chooseSmallestColumnToReadFromStorage(storage, storage_snapshot);
|
|
|
|
|
|
|
|
}
|
|
|
|
else if (query_node || union_node)
|
|
|
|
{
|
|
|
|
const auto & projection_columns = query_node ? query_node->getProjectionColumns() : union_node->computeProjectionColumns();
|
|
|
|
NamesAndTypesList projection_columns_list(projection_columns.begin(), projection_columns.end());
|
|
|
|
additional_column_to_read = ExpressionActions::getSmallestColumn(projection_columns_list);
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
throw Exception(ErrorCodes::LOGICAL_ERROR, "Expected table, table function, query or union. Actual {}",
|
|
|
|
table_expression->formatASTForErrorMessage());
|
|
|
|
}
|
|
|
|
|
|
|
|
auto & global_planner_context = planner_context->getGlobalPlannerContext();
|
|
|
|
const auto & column_identifier = global_planner_context->createColumnIdentifier(additional_column_to_read, table_expression);
|
|
|
|
columns_names.push_back(additional_column_to_read.name);
|
|
|
|
table_expression_data.addColumn(additional_column_to_read, column_identifier);
|
|
|
|
}
|
|
|
|
|
|
|
|
/// Limitation on the number of columns to read
|
|
|
|
if (settings.max_columns_to_read && columns_names.size() > settings.max_columns_to_read)
|
|
|
|
throw Exception(ErrorCodes::TOO_MANY_COLUMNS,
|
|
|
|
"Limit for number of columns to read exceeded. Requested: {}, maximum: {}",
|
|
|
|
columns_names.size(),
|
|
|
|
settings.max_columns_to_read);
|
|
|
|
}
|
|
|
|
|
2023-03-20 10:29:27 +00:00
|
|
|
void updatePrewhereOutputsIfNeeded(SelectQueryInfo & table_expression_query_info,
|
|
|
|
const Names & column_names,
|
|
|
|
const StorageSnapshotPtr & storage_snapshot)
|
|
|
|
{
|
|
|
|
if (!table_expression_query_info.prewhere_info)
|
|
|
|
return;
|
|
|
|
|
|
|
|
auto & prewhere_actions = table_expression_query_info.prewhere_info->prewhere_actions;
|
|
|
|
|
|
|
|
NameSet required_columns;
|
|
|
|
if (column_names.size() == 1)
|
|
|
|
required_columns.insert(column_names[0]);
|
|
|
|
|
|
|
|
auto & table_expression_modifiers = table_expression_query_info.table_expression_modifiers;
|
|
|
|
if (table_expression_modifiers)
|
|
|
|
{
|
|
|
|
if (table_expression_modifiers->hasSampleSizeRatio() ||
|
|
|
|
table_expression_query_info.planner_context->getQueryContext()->getSettingsRef().parallel_replicas_count > 1)
|
|
|
|
{
|
|
|
|
/// We evaluate sampling for Merge lazily so we need to get all the columns
|
|
|
|
if (storage_snapshot->storage.getName() == "Merge")
|
|
|
|
{
|
|
|
|
const auto columns = storage_snapshot->getMetadataForQuery()->getColumns().getAll();
|
|
|
|
for (const auto & column : columns)
|
|
|
|
required_columns.insert(column.name);
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
auto columns_required_for_sampling = storage_snapshot->getMetadataForQuery()->getColumnsRequiredForSampling();
|
|
|
|
required_columns.insert(columns_required_for_sampling.begin(), columns_required_for_sampling.end());
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
if (table_expression_modifiers->hasFinal())
|
|
|
|
{
|
|
|
|
auto columns_required_for_final = storage_snapshot->getMetadataForQuery()->getColumnsRequiredForFinal();
|
|
|
|
required_columns.insert(columns_required_for_final.begin(), columns_required_for_final.end());
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
std::unordered_set<const ActionsDAG::Node *> required_output_nodes;
|
|
|
|
|
|
|
|
for (const auto * input : prewhere_actions->getInputs())
|
|
|
|
{
|
|
|
|
if (required_columns.contains(input->result_name))
|
|
|
|
required_output_nodes.insert(input);
|
|
|
|
}
|
|
|
|
|
|
|
|
if (required_output_nodes.empty())
|
|
|
|
return;
|
|
|
|
|
|
|
|
auto & prewhere_outputs = prewhere_actions->getOutputs();
|
|
|
|
for (const auto & output : prewhere_outputs)
|
|
|
|
{
|
|
|
|
auto required_output_node_it = required_output_nodes.find(output);
|
|
|
|
if (required_output_node_it == required_output_nodes.end())
|
|
|
|
continue;
|
|
|
|
|
|
|
|
required_output_nodes.erase(required_output_node_it);
|
|
|
|
}
|
|
|
|
|
|
|
|
prewhere_outputs.insert(prewhere_outputs.end(), required_output_nodes.begin(), required_output_nodes.end());
|
|
|
|
}
|
|
|
|
|
2023-03-27 13:07:24 +00:00
|
|
|
FilterDAGInfo buildRowPolicyFilterIfNeeded(const StoragePtr & storage,
|
|
|
|
SelectQueryInfo & table_expression_query_info,
|
|
|
|
PlannerContextPtr & planner_context)
|
|
|
|
{
|
|
|
|
auto storage_id = storage->getStorageID();
|
|
|
|
const auto & query_context = planner_context->getQueryContext();
|
|
|
|
|
|
|
|
auto row_policy_filter = query_context->getRowPolicyFilter(storage_id.getDatabaseName(), storage_id.getTableName(), RowPolicyFilterType::SELECT_FILTER);
|
|
|
|
if (!row_policy_filter)
|
|
|
|
return {};
|
2023-03-20 10:29:27 +00:00
|
|
|
|
2023-04-06 19:18:26 +00:00
|
|
|
return buildFilterInfo(row_policy_filter->expression, table_expression_query_info.table_expression, planner_context);
|
2023-03-27 13:07:24 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
FilterDAGInfo buildCustomKeyFilterIfNeeded(const StoragePtr & storage,
|
2023-03-28 07:47:37 +00:00
|
|
|
SelectQueryInfo & table_expression_query_info,
|
|
|
|
PlannerContextPtr & planner_context)
|
2023-03-27 13:07:24 +00:00
|
|
|
{
|
|
|
|
const auto & query_context = planner_context->getQueryContext();
|
|
|
|
const auto & settings = query_context->getSettingsRef();
|
|
|
|
|
|
|
|
if (settings.parallel_replicas_count <= 1 || settings.parallel_replicas_custom_key.value.empty())
|
|
|
|
return {};
|
|
|
|
|
|
|
|
auto custom_key_ast = parseCustomKeyForTable(settings.parallel_replicas_custom_key, *query_context);
|
|
|
|
if (!custom_key_ast)
|
|
|
|
throw DB::Exception(
|
|
|
|
ErrorCodes::BAD_ARGUMENTS,
|
2023-03-27 13:51:42 +00:00
|
|
|
"Parallel replicas processing with custom_key has been requested "
|
2023-03-27 13:07:24 +00:00
|
|
|
"(setting 'max_parallel_replcias'), but the table does not have custom_key defined for it "
|
|
|
|
" or it's invalid (setting 'parallel_replicas_custom_key')");
|
|
|
|
|
|
|
|
LOG_TRACE(&Poco::Logger::get("Planner"), "Processing query on a replica using custom_key '{}'", settings.parallel_replicas_custom_key.value);
|
|
|
|
|
|
|
|
auto parallel_replicas_custom_filter_ast = getCustomKeyFilterForParallelReplica(
|
|
|
|
settings.parallel_replicas_count,
|
|
|
|
settings.parallel_replica_offset,
|
|
|
|
std::move(custom_key_ast),
|
|
|
|
settings.parallel_replicas_custom_key_filter_type,
|
|
|
|
*storage,
|
|
|
|
query_context);
|
|
|
|
|
2023-04-06 19:18:26 +00:00
|
|
|
return buildFilterInfo(parallel_replicas_custom_filter_ast, table_expression_query_info.table_expression, planner_context);
|
2023-03-20 10:29:27 +00:00
|
|
|
}
|
|
|
|
|
2023-04-04 20:33:59 +00:00
|
|
|
/// Apply filters from additional_table_filters setting
|
|
|
|
FilterDAGInfo buildAdditionalFiltersIfNeeded(const StoragePtr & storage,
|
|
|
|
const String & table_expression_alias,
|
|
|
|
SelectQueryInfo & table_expression_query_info,
|
|
|
|
PlannerContextPtr & planner_context)
|
|
|
|
{
|
|
|
|
const auto & query_context = planner_context->getQueryContext();
|
|
|
|
const auto & settings = query_context->getSettingsRef();
|
|
|
|
|
|
|
|
auto const & additional_filters = settings.additional_table_filters.value;
|
|
|
|
if (additional_filters.empty())
|
|
|
|
return {};
|
|
|
|
|
|
|
|
auto const & storage_id = storage->getStorageID();
|
|
|
|
|
|
|
|
ASTPtr additional_filter_ast;
|
2023-05-09 19:19:37 +00:00
|
|
|
for (const auto & additional_filter : additional_filters)
|
2023-04-04 20:33:59 +00:00
|
|
|
{
|
2023-05-09 19:19:37 +00:00
|
|
|
const auto & tuple = additional_filter.safeGet<const Tuple &>();
|
2023-04-04 20:33:59 +00:00
|
|
|
auto const & table = tuple.at(0).safeGet<String>();
|
|
|
|
auto const & filter = tuple.at(1).safeGet<String>();
|
|
|
|
|
|
|
|
if (table == table_expression_alias ||
|
|
|
|
(table == storage_id.getTableName() && query_context->getCurrentDatabase() == storage_id.getDatabaseName()) ||
|
|
|
|
(table == storage_id.getFullNameNotQuoted()))
|
|
|
|
{
|
|
|
|
ParserExpression parser;
|
|
|
|
additional_filter_ast = parseQuery(
|
|
|
|
parser, filter.data(), filter.data() + filter.size(),
|
|
|
|
"additional filter", settings.max_query_size, settings.max_parser_depth);
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
if (!additional_filter_ast)
|
|
|
|
return {};
|
|
|
|
|
2023-04-05 16:13:03 +00:00
|
|
|
table_expression_query_info.additional_filter_ast = additional_filter_ast;
|
2023-04-06 19:18:26 +00:00
|
|
|
return buildFilterInfo(additional_filter_ast, table_expression_query_info.table_expression, planner_context);
|
2023-04-04 20:33:59 +00:00
|
|
|
}
|
|
|
|
|
2023-03-03 16:01:50 +00:00
|
|
|
JoinTreeQueryPlan buildQueryPlanForTableExpression(QueryTreeNodePtr table_expression,
|
2022-12-23 17:45:28 +00:00
|
|
|
const SelectQueryInfo & select_query_info,
|
2022-09-15 14:09:30 +00:00
|
|
|
const SelectQueryOptions & select_query_options,
|
2022-12-23 17:45:28 +00:00
|
|
|
PlannerContextPtr & planner_context,
|
2023-03-03 16:01:50 +00:00
|
|
|
bool is_single_table_expression,
|
|
|
|
bool wrap_read_columns_in_subquery)
|
2022-09-15 14:09:30 +00:00
|
|
|
{
|
2022-12-23 17:45:28 +00:00
|
|
|
const auto & query_context = planner_context->getQueryContext();
|
|
|
|
const auto & settings = query_context->getSettingsRef();
|
|
|
|
|
2023-03-03 16:01:50 +00:00
|
|
|
auto & table_expression_data = planner_context->getTableExpressionDataOrThrow(table_expression);
|
|
|
|
|
2022-12-23 17:45:28 +00:00
|
|
|
QueryProcessingStage::Enum from_stage = QueryProcessingStage::Enum::FetchColumns;
|
|
|
|
|
2023-03-03 16:01:50 +00:00
|
|
|
if (wrap_read_columns_in_subquery)
|
|
|
|
{
|
|
|
|
auto columns = table_expression_data.getColumns();
|
|
|
|
table_expression = buildSubqueryToReadColumnsFromTableExpression(columns, table_expression, query_context);
|
|
|
|
}
|
|
|
|
|
2022-09-15 14:09:30 +00:00
|
|
|
auto * table_node = table_expression->as<TableNode>();
|
|
|
|
auto * table_function_node = table_expression->as<TableFunctionNode>();
|
|
|
|
auto * query_node = table_expression->as<QueryNode>();
|
|
|
|
auto * union_node = table_expression->as<UnionNode>();
|
|
|
|
|
|
|
|
QueryPlan query_plan;
|
|
|
|
|
|
|
|
if (table_node || table_function_node)
|
|
|
|
{
|
|
|
|
const auto & storage = table_node ? table_node->getStorage() : table_function_node->getStorage();
|
|
|
|
const auto & storage_snapshot = table_node ? table_node->getStorageSnapshot() : table_function_node->getStorageSnapshot();
|
|
|
|
|
|
|
|
auto table_expression_query_info = select_query_info;
|
|
|
|
table_expression_query_info.table_expression = table_expression;
|
|
|
|
|
2022-12-23 17:45:28 +00:00
|
|
|
size_t max_streams = settings.max_threads;
|
|
|
|
size_t max_threads_execute_query = settings.max_threads;
|
|
|
|
|
|
|
|
/** With distributed query processing, almost no computations are done in the threads,
|
|
|
|
* but wait and receive data from remote servers.
|
|
|
|
* If we have 20 remote servers, and max_threads = 8, then it would not be efficient to
|
|
|
|
* connect and ask only 8 servers at a time.
|
|
|
|
* To simultaneously query more remote servers,
|
|
|
|
* instead of max_threads, max_distributed_connections is used.
|
|
|
|
*/
|
|
|
|
bool is_remote = table_expression_data.isRemote();
|
|
|
|
if (is_remote)
|
|
|
|
{
|
|
|
|
max_streams = settings.max_distributed_connections;
|
|
|
|
max_threads_execute_query = settings.max_distributed_connections;
|
|
|
|
}
|
|
|
|
|
|
|
|
UInt64 max_block_size = settings.max_block_size;
|
|
|
|
|
|
|
|
auto & main_query_node = select_query_info.query_tree->as<QueryNode &>();
|
|
|
|
|
|
|
|
if (is_single_table_expression)
|
|
|
|
{
|
|
|
|
size_t limit_length = 0;
|
|
|
|
if (main_query_node.hasLimit())
|
|
|
|
{
|
|
|
|
/// Constness of limit is validated during query analysis stage
|
|
|
|
limit_length = main_query_node.getLimit()->as<ConstantNode &>().getValue().safeGet<UInt64>();
|
|
|
|
}
|
|
|
|
|
|
|
|
size_t limit_offset = 0;
|
|
|
|
if (main_query_node.hasOffset())
|
|
|
|
{
|
|
|
|
/// Constness of offset is validated during query analysis stage
|
|
|
|
limit_offset = main_query_node.getOffset()->as<ConstantNode &>().getValue().safeGet<UInt64>();
|
|
|
|
}
|
|
|
|
|
|
|
|
/** If not specified DISTINCT, WHERE, GROUP BY, HAVING, ORDER BY, JOIN, LIMIT BY, LIMIT WITH TIES
|
|
|
|
* but LIMIT is specified, and limit + offset < max_block_size,
|
|
|
|
* then as the block size we will use limit + offset (not to read more from the table than requested),
|
|
|
|
* and also set the number of threads to 1.
|
|
|
|
*/
|
|
|
|
if (main_query_node.hasLimit() &&
|
|
|
|
!main_query_node.isDistinct() &&
|
|
|
|
!main_query_node.isLimitWithTies() &&
|
|
|
|
!main_query_node.hasPrewhere() &&
|
|
|
|
!main_query_node.hasWhere() &&
|
|
|
|
select_query_info.filter_asts.empty() &&
|
|
|
|
!main_query_node.hasGroupBy() &&
|
|
|
|
!main_query_node.hasHaving() &&
|
|
|
|
!main_query_node.hasOrderBy() &&
|
|
|
|
!main_query_node.hasLimitBy() &&
|
|
|
|
!select_query_info.need_aggregate &&
|
|
|
|
!select_query_info.has_window &&
|
|
|
|
limit_length <= std::numeric_limits<UInt64>::max() - limit_offset)
|
|
|
|
{
|
|
|
|
if (limit_length + limit_offset < max_block_size)
|
|
|
|
{
|
|
|
|
max_block_size = std::max<UInt64>(1, limit_length + limit_offset);
|
|
|
|
max_streams = 1;
|
|
|
|
max_threads_execute_query = 1;
|
|
|
|
}
|
|
|
|
|
|
|
|
if (limit_length + limit_offset < select_query_info.local_storage_limits.local_limits.size_limits.max_rows)
|
|
|
|
{
|
|
|
|
table_expression_query_info.limit = limit_length + limit_offset;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
if (!max_block_size)
|
|
|
|
throw Exception(ErrorCodes::PARAMETER_OUT_OF_BOUND,
|
|
|
|
"Setting 'max_block_size' cannot be zero");
|
|
|
|
}
|
|
|
|
|
|
|
|
if (max_streams == 0)
|
|
|
|
max_streams = 1;
|
|
|
|
|
2023-01-13 16:53:53 +00:00
|
|
|
/// If necessary, we request more sources than the number of threads - to distribute the work evenly over the threads
|
2022-12-23 17:45:28 +00:00
|
|
|
if (max_streams > 1 && !is_remote)
|
|
|
|
max_streams = static_cast<size_t>(max_streams * settings.max_streams_to_max_threads_ratio);
|
|
|
|
|
2022-09-15 14:09:30 +00:00
|
|
|
if (table_node)
|
|
|
|
table_expression_query_info.table_expression_modifiers = table_node->getTableExpressionModifiers();
|
|
|
|
else
|
|
|
|
table_expression_query_info.table_expression_modifiers = table_function_node->getTableExpressionModifiers();
|
|
|
|
|
2023-03-20 10:29:27 +00:00
|
|
|
bool need_rewrite_query_with_final = storage->needRewriteQueryWithFinal(table_expression_data.getColumnNames());
|
2022-10-12 11:26:02 +00:00
|
|
|
if (need_rewrite_query_with_final)
|
2022-09-15 14:09:30 +00:00
|
|
|
{
|
2022-10-12 11:26:02 +00:00
|
|
|
if (table_expression_query_info.table_expression_modifiers)
|
|
|
|
{
|
|
|
|
const auto & table_expression_modifiers = table_expression_query_info.table_expression_modifiers;
|
|
|
|
auto sample_size_ratio = table_expression_modifiers->getSampleSizeRatio();
|
|
|
|
auto sample_offset_ratio = table_expression_modifiers->getSampleOffsetRatio();
|
|
|
|
|
|
|
|
table_expression_query_info.table_expression_modifiers = TableExpressionModifiers(true /*has_final*/,
|
|
|
|
sample_size_ratio,
|
|
|
|
sample_offset_ratio);
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
table_expression_query_info.table_expression_modifiers = TableExpressionModifiers(true /*has_final*/,
|
|
|
|
{} /*sample_size_ratio*/,
|
|
|
|
{} /*sample_offset_ratio*/);
|
|
|
|
}
|
2022-09-15 14:09:30 +00:00
|
|
|
}
|
|
|
|
|
2023-03-01 20:19:51 +00:00
|
|
|
/// Apply trivial_count optimization if possible
|
2023-03-20 10:29:27 +00:00
|
|
|
bool is_trivial_count_applied = !select_query_options.only_analyze &&
|
|
|
|
is_single_table_expression &&
|
|
|
|
table_node &&
|
|
|
|
select_query_info.has_aggregates &&
|
2023-06-06 16:38:32 +00:00
|
|
|
applyTrivialCountIfPossible(query_plan, *table_node, select_query_info.query_tree, planner_context->getMutableQueryContext(), table_expression_data.getColumnNames());
|
2022-10-12 11:26:02 +00:00
|
|
|
|
2023-02-26 22:37:06 +00:00
|
|
|
if (is_trivial_count_applied)
|
2022-09-15 14:09:30 +00:00
|
|
|
{
|
2023-03-06 10:47:32 +00:00
|
|
|
from_stage = QueryProcessingStage::WithMergeableState;
|
2022-12-23 17:45:28 +00:00
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
2023-03-03 17:44:08 +00:00
|
|
|
if (!select_query_options.only_analyze)
|
|
|
|
{
|
2023-03-20 10:29:27 +00:00
|
|
|
const auto & prewhere_actions = table_expression_data.getPrewhereFilterActions();
|
|
|
|
|
|
|
|
if (prewhere_actions)
|
|
|
|
{
|
|
|
|
table_expression_query_info.prewhere_info = std::make_shared<PrewhereInfo>();
|
|
|
|
table_expression_query_info.prewhere_info->prewhere_actions = prewhere_actions;
|
|
|
|
table_expression_query_info.prewhere_info->prewhere_column_name = prewhere_actions->getOutputs().at(0)->result_name;
|
|
|
|
table_expression_query_info.prewhere_info->remove_prewhere_column = true;
|
|
|
|
table_expression_query_info.prewhere_info->need_filter = true;
|
|
|
|
}
|
|
|
|
|
|
|
|
updatePrewhereOutputsIfNeeded(table_expression_query_info, table_expression_data.getColumnNames(), storage_snapshot);
|
|
|
|
|
2023-03-27 13:07:24 +00:00
|
|
|
const auto & columns_names = table_expression_data.getColumnNames();
|
2023-03-20 10:29:27 +00:00
|
|
|
|
2023-03-27 13:07:24 +00:00
|
|
|
std::vector<std::pair<FilterDAGInfo, std::string>> where_filters;
|
|
|
|
const auto add_filter = [&](const FilterDAGInfo & filter_info, std::string description)
|
2023-03-20 10:29:27 +00:00
|
|
|
{
|
2023-03-27 13:07:24 +00:00
|
|
|
if (!filter_info.actions)
|
|
|
|
return;
|
|
|
|
|
2023-03-20 10:29:27 +00:00
|
|
|
bool is_final = table_expression_query_info.table_expression_modifiers &&
|
|
|
|
table_expression_query_info.table_expression_modifiers->hasFinal();
|
|
|
|
bool optimize_move_to_prewhere = settings.optimize_move_to_prewhere && (!is_final || settings.optimize_move_to_prewhere_if_final);
|
|
|
|
|
|
|
|
if (storage->supportsPrewhere() && optimize_move_to_prewhere)
|
|
|
|
{
|
|
|
|
if (!table_expression_query_info.prewhere_info)
|
|
|
|
table_expression_query_info.prewhere_info = std::make_shared<PrewhereInfo>();
|
|
|
|
|
|
|
|
if (!table_expression_query_info.prewhere_info->prewhere_actions)
|
|
|
|
{
|
2023-03-27 13:07:24 +00:00
|
|
|
table_expression_query_info.prewhere_info->prewhere_actions = filter_info.actions;
|
|
|
|
table_expression_query_info.prewhere_info->prewhere_column_name = filter_info.column_name;
|
|
|
|
table_expression_query_info.prewhere_info->remove_prewhere_column = filter_info.do_remove_column;
|
2023-03-20 10:29:27 +00:00
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
2023-03-27 13:07:24 +00:00
|
|
|
table_expression_query_info.prewhere_info->row_level_filter = filter_info.actions;
|
|
|
|
table_expression_query_info.prewhere_info->row_level_column_name = filter_info.column_name;
|
2023-03-20 10:29:27 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
table_expression_query_info.prewhere_info->need_filter = true;
|
2023-03-27 13:07:24 +00:00
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
where_filters.emplace_back(filter_info, std::move(description));
|
|
|
|
}
|
|
|
|
};
|
|
|
|
|
|
|
|
auto row_policy_filter_info = buildRowPolicyFilterIfNeeded(storage, table_expression_query_info, planner_context);
|
|
|
|
add_filter(row_policy_filter_info, "Row-level security filter");
|
|
|
|
|
|
|
|
if (query_context->getParallelReplicasMode() == Context::ParallelReplicasMode::CUSTOM_KEY)
|
|
|
|
{
|
|
|
|
if (settings.parallel_replicas_count > 1)
|
|
|
|
{
|
|
|
|
auto parallel_replicas_custom_key_filter_info = buildCustomKeyFilterIfNeeded(storage, table_expression_query_info, planner_context);
|
|
|
|
add_filter(parallel_replicas_custom_key_filter_info, "Parallel replicas custom key filter");
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
2023-03-28 07:47:37 +00:00
|
|
|
if (auto * distributed = typeid_cast<StorageDistributed *>(storage.get());
|
2023-03-27 13:07:24 +00:00
|
|
|
distributed && canUseCustomKey(settings, *distributed->getCluster(), *query_context))
|
|
|
|
{
|
|
|
|
table_expression_query_info.use_custom_key = true;
|
|
|
|
planner_context->getMutableQueryContext()->setSetting("distributed_group_by_no_merge", 2);
|
|
|
|
}
|
2023-03-20 10:29:27 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2023-04-04 20:33:59 +00:00
|
|
|
const auto & table_expression_alias = table_expression->getAlias();
|
|
|
|
auto additional_filters_info = buildAdditionalFiltersIfNeeded(storage, table_expression_alias, table_expression_query_info, planner_context);
|
|
|
|
add_filter(additional_filters_info, "additional filter");
|
|
|
|
|
2023-03-03 17:44:08 +00:00
|
|
|
from_stage = storage->getQueryProcessingStage(query_context, select_query_options.to_stage, storage_snapshot, table_expression_query_info);
|
|
|
|
storage->read(query_plan, columns_names, storage_snapshot, table_expression_query_info, query_context, from_stage, max_block_size, max_streams);
|
2023-03-04 17:46:40 +00:00
|
|
|
|
2023-03-27 13:07:24 +00:00
|
|
|
for (const auto & filter_info_and_description : where_filters)
|
2023-03-20 10:29:27 +00:00
|
|
|
{
|
2023-03-27 13:07:24 +00:00
|
|
|
const auto & [filter_info, description] = filter_info_and_description;
|
|
|
|
if (query_plan.isInitialized() &&
|
|
|
|
from_stage == QueryProcessingStage::FetchColumns &&
|
|
|
|
filter_info.actions)
|
|
|
|
{
|
|
|
|
auto filter_step = std::make_unique<FilterStep>(query_plan.getCurrentDataStream(),
|
|
|
|
filter_info.actions,
|
|
|
|
filter_info.column_name,
|
|
|
|
filter_info.do_remove_column);
|
|
|
|
filter_step->setStepDescription(description);
|
|
|
|
query_plan.addStep(std::move(filter_step));
|
|
|
|
}
|
2023-03-20 10:29:27 +00:00
|
|
|
}
|
|
|
|
|
2023-03-04 17:46:40 +00:00
|
|
|
if (query_context->hasQueryContext() && !select_query_options.is_internal)
|
|
|
|
{
|
|
|
|
auto local_storage_id = storage->getStorageID();
|
|
|
|
query_context->getQueryContext()->addQueryAccessInfo(
|
|
|
|
backQuoteIfNeed(local_storage_id.getDatabaseName()),
|
|
|
|
local_storage_id.getFullTableName(),
|
|
|
|
columns_names,
|
|
|
|
{},
|
|
|
|
{});
|
|
|
|
}
|
2023-03-03 17:44:08 +00:00
|
|
|
}
|
2023-02-26 22:37:06 +00:00
|
|
|
|
|
|
|
if (query_plan.isInitialized())
|
|
|
|
{
|
|
|
|
/** Specify the number of threads only if it wasn't specified in storage.
|
|
|
|
*
|
|
|
|
* But in case of remote query and prefer_localhost_replica=1 (default)
|
|
|
|
* The inner local query (that is done in the same process, without
|
|
|
|
* network interaction), it will setMaxThreads earlier and distributed
|
|
|
|
* query will not update it.
|
|
|
|
*/
|
|
|
|
if (!query_plan.getMaxThreads() || is_remote)
|
|
|
|
query_plan.setMaxThreads(max_threads_execute_query);
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
/// Create step which reads from empty source if storage has no data.
|
2023-03-20 10:29:27 +00:00
|
|
|
auto source_header = storage_snapshot->getSampleBlockForColumns(table_expression_data.getColumnNames());
|
2023-02-26 22:37:06 +00:00
|
|
|
Pipe pipe(std::make_shared<NullSource>(source_header));
|
|
|
|
auto read_from_pipe = std::make_unique<ReadFromPreparedSource>(std::move(pipe));
|
|
|
|
read_from_pipe->setStepDescription("Read from NullSource");
|
|
|
|
query_plan.addStep(std::move(read_from_pipe));
|
|
|
|
}
|
2022-09-15 14:09:30 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
else if (query_node || union_node)
|
|
|
|
{
|
2023-03-02 12:43:03 +00:00
|
|
|
if (select_query_options.only_analyze)
|
|
|
|
{
|
|
|
|
auto projection_columns = query_node ? query_node->getProjectionColumns() : union_node->computeProjectionColumns();
|
|
|
|
Block source_header;
|
|
|
|
for (auto & projection_column : projection_columns)
|
|
|
|
source_header.insert(ColumnWithTypeAndName(projection_column.type, projection_column.name));
|
|
|
|
|
|
|
|
Pipe pipe(std::make_shared<NullSource>(source_header));
|
|
|
|
auto read_from_pipe = std::make_unique<ReadFromPreparedSource>(std::move(pipe));
|
|
|
|
read_from_pipe->setStepDescription("Read from NullSource");
|
|
|
|
query_plan.addStep(std::move(read_from_pipe));
|
|
|
|
}
|
|
|
|
else
|
2023-03-01 16:10:31 +00:00
|
|
|
{
|
2023-02-24 12:46:09 +00:00
|
|
|
auto subquery_options = select_query_options.subquery();
|
|
|
|
Planner subquery_planner(table_expression, subquery_options, planner_context->getGlobalPlannerContext());
|
|
|
|
/// Propagate storage limits to subquery
|
|
|
|
subquery_planner.addStorageLimits(*select_query_info.storage_limits);
|
|
|
|
subquery_planner.buildQueryPlanIfNeeded();
|
|
|
|
query_plan = std::move(subquery_planner).extractQueryPlan();
|
2023-03-01 16:10:31 +00:00
|
|
|
}
|
2022-09-15 14:09:30 +00:00
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
2023-01-23 21:13:58 +00:00
|
|
|
throw Exception(ErrorCodes::LOGICAL_ERROR, "Expected table, table function, query or union. Actual {}",
|
|
|
|
table_expression->formatASTForErrorMessage());
|
2022-09-15 14:09:30 +00:00
|
|
|
}
|
|
|
|
|
2022-12-23 17:45:28 +00:00
|
|
|
if (from_stage == QueryProcessingStage::FetchColumns)
|
2022-09-15 14:09:30 +00:00
|
|
|
{
|
2022-12-23 17:45:28 +00:00
|
|
|
auto rename_actions_dag = std::make_shared<ActionsDAG>(query_plan.getCurrentDataStream().header.getColumnsWithTypeAndName());
|
|
|
|
ActionsDAG::NodeRawConstPtrs updated_actions_dag_outputs;
|
2022-10-19 16:49:17 +00:00
|
|
|
|
2022-12-23 17:45:28 +00:00
|
|
|
for (auto & output_node : rename_actions_dag->getOutputs())
|
|
|
|
{
|
|
|
|
const auto * column_identifier = table_expression_data.getColumnIdentifierOrNull(output_node->result_name);
|
|
|
|
if (!column_identifier)
|
|
|
|
continue;
|
2022-09-15 14:09:30 +00:00
|
|
|
|
2022-12-23 17:45:28 +00:00
|
|
|
updated_actions_dag_outputs.push_back(&rename_actions_dag->addAlias(*output_node, *column_identifier));
|
|
|
|
}
|
2022-11-08 13:25:23 +00:00
|
|
|
|
2022-12-23 17:45:28 +00:00
|
|
|
rename_actions_dag->getOutputs() = std::move(updated_actions_dag_outputs);
|
2022-09-15 14:09:30 +00:00
|
|
|
|
2022-12-23 17:45:28 +00:00
|
|
|
auto rename_step = std::make_unique<ExpressionStep>(query_plan.getCurrentDataStream(), rename_actions_dag);
|
|
|
|
rename_step->setStepDescription("Change column names to column identifiers");
|
|
|
|
query_plan.addStep(std::move(rename_step));
|
|
|
|
}
|
2023-02-02 18:25:32 +00:00
|
|
|
else
|
|
|
|
{
|
|
|
|
Planner planner(select_query_info.query_tree,
|
2023-02-15 14:03:52 +00:00
|
|
|
SelectQueryOptions(from_stage).analyze(),
|
|
|
|
select_query_info.planner_context);
|
2023-02-02 18:25:32 +00:00
|
|
|
planner.buildQueryPlanIfNeeded();
|
|
|
|
|
|
|
|
auto expected_header = planner.getQueryPlan().getCurrentDataStream().header;
|
|
|
|
|
2023-02-25 19:16:51 +00:00
|
|
|
if (!blocksHaveEqualStructure(query_plan.getCurrentDataStream().header, expected_header))
|
|
|
|
{
|
2023-03-03 16:01:50 +00:00
|
|
|
materializeBlockInplace(expected_header);
|
|
|
|
|
2023-02-25 19:16:51 +00:00
|
|
|
auto rename_actions_dag = ActionsDAG::makeConvertingActions(
|
|
|
|
query_plan.getCurrentDataStream().header.getColumnsWithTypeAndName(),
|
|
|
|
expected_header.getColumnsWithTypeAndName(),
|
|
|
|
ActionsDAG::MatchColumnsMode::Position,
|
|
|
|
true /*ignore_constant_values*/);
|
|
|
|
auto rename_step = std::make_unique<ExpressionStep>(query_plan.getCurrentDataStream(), std::move(rename_actions_dag));
|
|
|
|
std::string step_description = table_expression_data.isRemote() ? "Change remote column names to local column names" : "Change column names";
|
|
|
|
rename_step->setStepDescription(std::move(step_description));
|
|
|
|
query_plan.addStep(std::move(rename_step));
|
|
|
|
}
|
2023-02-02 18:25:32 +00:00
|
|
|
}
|
2022-12-23 17:45:28 +00:00
|
|
|
|
|
|
|
return {std::move(query_plan), from_stage};
|
2022-09-15 14:09:30 +00:00
|
|
|
}
|
|
|
|
|
2022-12-23 17:45:28 +00:00
|
|
|
JoinTreeQueryPlan buildQueryPlanForJoinNode(const QueryTreeNodePtr & join_table_expression,
|
|
|
|
JoinTreeQueryPlan left_join_tree_query_plan,
|
|
|
|
JoinTreeQueryPlan right_join_tree_query_plan,
|
2022-12-23 19:33:46 +00:00
|
|
|
const ColumnIdentifierSet & outer_scope_columns,
|
2022-09-15 14:09:30 +00:00
|
|
|
PlannerContextPtr & planner_context)
|
|
|
|
{
|
2022-12-23 17:45:28 +00:00
|
|
|
auto & join_node = join_table_expression->as<JoinNode &>();
|
|
|
|
if (left_join_tree_query_plan.from_stage != QueryProcessingStage::FetchColumns)
|
|
|
|
throw Exception(ErrorCodes::UNSUPPORTED_METHOD,
|
|
|
|
"JOIN {} left table expression expected to process query to fetch columns stage. Actual {}",
|
|
|
|
join_node.formatASTForErrorMessage(),
|
|
|
|
QueryProcessingStage::toString(left_join_tree_query_plan.from_stage));
|
|
|
|
|
|
|
|
auto left_plan = std::move(left_join_tree_query_plan.query_plan);
|
2022-09-15 14:09:30 +00:00
|
|
|
auto left_plan_output_columns = left_plan.getCurrentDataStream().header.getColumnsWithTypeAndName();
|
2022-12-23 17:45:28 +00:00
|
|
|
if (right_join_tree_query_plan.from_stage != QueryProcessingStage::FetchColumns)
|
|
|
|
throw Exception(ErrorCodes::UNSUPPORTED_METHOD,
|
|
|
|
"JOIN {} right table expression expected to process query to fetch columns stage. Actual {}",
|
|
|
|
join_node.formatASTForErrorMessage(),
|
|
|
|
QueryProcessingStage::toString(right_join_tree_query_plan.from_stage));
|
2022-09-15 14:09:30 +00:00
|
|
|
|
2022-12-23 17:45:28 +00:00
|
|
|
auto right_plan = std::move(right_join_tree_query_plan.query_plan);
|
2022-09-15 14:09:30 +00:00
|
|
|
auto right_plan_output_columns = right_plan.getCurrentDataStream().header.getColumnsWithTypeAndName();
|
|
|
|
|
|
|
|
JoinClausesAndActions join_clauses_and_actions;
|
2022-09-28 11:20:24 +00:00
|
|
|
JoinKind join_kind = join_node.getKind();
|
2023-06-06 19:03:23 +00:00
|
|
|
JoinStrictness join_strictness = join_node.getStrictness();
|
2022-09-15 14:09:30 +00:00
|
|
|
|
2022-11-10 18:17:10 +00:00
|
|
|
std::optional<bool> join_constant;
|
|
|
|
|
2023-06-06 19:03:23 +00:00
|
|
|
if (join_strictness == JoinStrictness::All)
|
2022-12-23 17:45:28 +00:00
|
|
|
join_constant = tryExtractConstantFromJoinNode(join_table_expression);
|
2022-11-10 18:17:10 +00:00
|
|
|
|
2022-09-28 11:20:24 +00:00
|
|
|
if (join_constant)
|
|
|
|
{
|
|
|
|
/** If there is JOIN with always true constant, we transform it to cross.
|
|
|
|
* If there is JOIN with always false constant, we do not process JOIN keys.
|
|
|
|
* It is expected by join algorithm to handle such case.
|
|
|
|
*
|
|
|
|
* Example: SELECT * FROM test_table AS t1 INNER JOIN test_table AS t2 ON 1;
|
|
|
|
*/
|
|
|
|
if (*join_constant)
|
|
|
|
join_kind = JoinKind::Cross;
|
|
|
|
}
|
|
|
|
else if (join_node.isOnJoinExpression())
|
2022-09-15 14:09:30 +00:00
|
|
|
{
|
|
|
|
join_clauses_and_actions = buildJoinClausesAndActions(left_plan_output_columns,
|
|
|
|
right_plan_output_columns,
|
2022-12-23 17:45:28 +00:00
|
|
|
join_table_expression,
|
2022-09-15 14:09:30 +00:00
|
|
|
planner_context);
|
|
|
|
|
|
|
|
join_clauses_and_actions.left_join_expressions_actions->projectInput();
|
|
|
|
auto left_join_expressions_actions_step = std::make_unique<ExpressionStep>(left_plan.getCurrentDataStream(), join_clauses_and_actions.left_join_expressions_actions);
|
|
|
|
left_join_expressions_actions_step->setStepDescription("JOIN actions");
|
|
|
|
left_plan.addStep(std::move(left_join_expressions_actions_step));
|
|
|
|
|
|
|
|
join_clauses_and_actions.right_join_expressions_actions->projectInput();
|
|
|
|
auto right_join_expressions_actions_step = std::make_unique<ExpressionStep>(right_plan.getCurrentDataStream(), join_clauses_and_actions.right_join_expressions_actions);
|
|
|
|
right_join_expressions_actions_step->setStepDescription("JOIN actions");
|
|
|
|
right_plan.addStep(std::move(right_join_expressions_actions_step));
|
|
|
|
}
|
|
|
|
|
|
|
|
std::unordered_map<ColumnIdentifier, DataTypePtr> left_plan_column_name_to_cast_type;
|
|
|
|
std::unordered_map<ColumnIdentifier, DataTypePtr> right_plan_column_name_to_cast_type;
|
|
|
|
|
|
|
|
if (join_node.isUsingJoinExpression())
|
|
|
|
{
|
|
|
|
auto & join_node_using_columns_list = join_node.getJoinExpression()->as<ListNode &>();
|
|
|
|
for (auto & join_node_using_node : join_node_using_columns_list.getNodes())
|
|
|
|
{
|
|
|
|
auto & join_node_using_column_node = join_node_using_node->as<ColumnNode &>();
|
|
|
|
auto & inner_columns_list = join_node_using_column_node.getExpressionOrThrow()->as<ListNode &>();
|
|
|
|
|
|
|
|
auto & left_inner_column_node = inner_columns_list.getNodes().at(0);
|
|
|
|
auto & left_inner_column = left_inner_column_node->as<ColumnNode &>();
|
|
|
|
|
|
|
|
auto & right_inner_column_node = inner_columns_list.getNodes().at(1);
|
|
|
|
auto & right_inner_column = right_inner_column_node->as<ColumnNode &>();
|
|
|
|
|
|
|
|
const auto & join_node_using_column_node_type = join_node_using_column_node.getColumnType();
|
|
|
|
if (!left_inner_column.getColumnType()->equals(*join_node_using_column_node_type))
|
|
|
|
{
|
2022-10-19 16:49:17 +00:00
|
|
|
const auto & left_inner_column_identifier = planner_context->getColumnNodeIdentifierOrThrow(left_inner_column_node);
|
2022-09-15 14:09:30 +00:00
|
|
|
left_plan_column_name_to_cast_type.emplace(left_inner_column_identifier, join_node_using_column_node_type);
|
|
|
|
}
|
|
|
|
|
|
|
|
if (!right_inner_column.getColumnType()->equals(*join_node_using_column_node_type))
|
|
|
|
{
|
2022-10-19 16:49:17 +00:00
|
|
|
const auto & right_inner_column_identifier = planner_context->getColumnNodeIdentifierOrThrow(right_inner_column_node);
|
2022-09-15 14:09:30 +00:00
|
|
|
right_plan_column_name_to_cast_type.emplace(right_inner_column_identifier, join_node_using_column_node_type);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
auto join_cast_plan_output_nodes = [&](QueryPlan & plan_to_add_cast, std::unordered_map<std::string, DataTypePtr> & plan_column_name_to_cast_type)
|
|
|
|
{
|
|
|
|
auto cast_actions_dag = std::make_shared<ActionsDAG>(plan_to_add_cast.getCurrentDataStream().header.getColumnsWithTypeAndName());
|
|
|
|
|
|
|
|
for (auto & output_node : cast_actions_dag->getOutputs())
|
|
|
|
{
|
|
|
|
auto it = plan_column_name_to_cast_type.find(output_node->result_name);
|
|
|
|
if (it == plan_column_name_to_cast_type.end())
|
|
|
|
continue;
|
|
|
|
|
|
|
|
const auto & cast_type = it->second;
|
2023-01-31 13:54:04 +00:00
|
|
|
output_node = &cast_actions_dag->addCast(*output_node, cast_type, output_node->result_name);
|
2022-09-15 14:09:30 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
cast_actions_dag->projectInput();
|
|
|
|
auto cast_join_columns_step
|
|
|
|
= std::make_unique<ExpressionStep>(plan_to_add_cast.getCurrentDataStream(), std::move(cast_actions_dag));
|
|
|
|
cast_join_columns_step->setStepDescription("Cast JOIN USING columns");
|
|
|
|
plan_to_add_cast.addStep(std::move(cast_join_columns_step));
|
|
|
|
};
|
|
|
|
|
|
|
|
if (!left_plan_column_name_to_cast_type.empty())
|
|
|
|
join_cast_plan_output_nodes(left_plan, left_plan_column_name_to_cast_type);
|
|
|
|
|
|
|
|
if (!right_plan_column_name_to_cast_type.empty())
|
|
|
|
join_cast_plan_output_nodes(right_plan, right_plan_column_name_to_cast_type);
|
|
|
|
|
|
|
|
const auto & query_context = planner_context->getQueryContext();
|
2022-10-18 11:35:04 +00:00
|
|
|
const auto & settings = query_context->getSettingsRef();
|
|
|
|
|
|
|
|
bool join_use_nulls = settings.join_use_nulls;
|
2022-09-15 14:09:30 +00:00
|
|
|
auto to_nullable_function = FunctionFactory::instance().get("toNullable", query_context);
|
|
|
|
|
|
|
|
auto join_cast_plan_columns_to_nullable = [&](QueryPlan & plan_to_add_cast)
|
|
|
|
{
|
|
|
|
auto cast_actions_dag = std::make_shared<ActionsDAG>(plan_to_add_cast.getCurrentDataStream().header.getColumnsWithTypeAndName());
|
|
|
|
|
|
|
|
for (auto & output_node : cast_actions_dag->getOutputs())
|
|
|
|
{
|
|
|
|
if (planner_context->getGlobalPlannerContext()->hasColumnIdentifier(output_node->result_name))
|
2023-02-24 12:46:09 +00:00
|
|
|
{
|
|
|
|
DataTypePtr type_to_check = output_node->result_type;
|
|
|
|
if (const auto * type_to_check_low_cardinality = typeid_cast<const DataTypeLowCardinality *>(type_to_check.get()))
|
|
|
|
type_to_check = type_to_check_low_cardinality->getDictionaryType();
|
|
|
|
|
|
|
|
if (type_to_check->canBeInsideNullable())
|
|
|
|
output_node = &cast_actions_dag->addFunction(to_nullable_function, {output_node}, output_node->result_name);
|
|
|
|
}
|
2022-09-15 14:09:30 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
cast_actions_dag->projectInput();
|
|
|
|
auto cast_join_columns_step = std::make_unique<ExpressionStep>(plan_to_add_cast.getCurrentDataStream(), std::move(cast_actions_dag));
|
|
|
|
cast_join_columns_step->setStepDescription("Cast JOIN columns to Nullable");
|
|
|
|
plan_to_add_cast.addStep(std::move(cast_join_columns_step));
|
|
|
|
};
|
|
|
|
|
|
|
|
if (join_use_nulls)
|
|
|
|
{
|
|
|
|
if (isFull(join_kind))
|
|
|
|
{
|
|
|
|
join_cast_plan_columns_to_nullable(left_plan);
|
|
|
|
join_cast_plan_columns_to_nullable(right_plan);
|
|
|
|
}
|
|
|
|
else if (isLeft(join_kind))
|
|
|
|
{
|
|
|
|
join_cast_plan_columns_to_nullable(right_plan);
|
|
|
|
}
|
|
|
|
else if (isRight(join_kind))
|
|
|
|
{
|
|
|
|
join_cast_plan_columns_to_nullable(left_plan);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2023-04-05 13:42:13 +00:00
|
|
|
auto table_join = std::make_shared<TableJoin>(settings, query_context->getGlobalTemporaryVolume());
|
2022-09-15 14:09:30 +00:00
|
|
|
table_join->getTableJoin() = join_node.toASTTableJoin()->as<ASTTableJoin &>();
|
2022-09-28 11:20:24 +00:00
|
|
|
table_join->getTableJoin().kind = join_kind;
|
|
|
|
|
|
|
|
if (join_kind == JoinKind::Comma)
|
2022-10-18 11:35:04 +00:00
|
|
|
{
|
|
|
|
join_kind = JoinKind::Cross;
|
2022-09-15 14:09:30 +00:00
|
|
|
table_join->getTableJoin().kind = JoinKind::Cross;
|
2022-10-18 11:35:04 +00:00
|
|
|
}
|
2022-09-27 15:04:03 +00:00
|
|
|
|
2022-09-28 11:20:24 +00:00
|
|
|
table_join->setIsJoinWithConstant(join_constant != std::nullopt);
|
2022-09-15 14:09:30 +00:00
|
|
|
|
|
|
|
if (join_node.isOnJoinExpression())
|
|
|
|
{
|
|
|
|
const auto & join_clauses = join_clauses_and_actions.join_clauses;
|
2022-09-27 15:04:03 +00:00
|
|
|
bool is_asof = table_join->strictness() == JoinStrictness::Asof;
|
|
|
|
|
|
|
|
if (join_clauses.size() > 1)
|
|
|
|
{
|
|
|
|
if (is_asof)
|
|
|
|
throw Exception(ErrorCodes::NOT_IMPLEMENTED,
|
|
|
|
"ASOF join {} doesn't support multiple ORs for keys in JOIN ON section",
|
|
|
|
join_node.formatASTForErrorMessage());
|
|
|
|
}
|
|
|
|
|
2022-09-15 14:09:30 +00:00
|
|
|
auto & table_join_clauses = table_join->getClauses();
|
|
|
|
|
|
|
|
for (const auto & join_clause : join_clauses)
|
|
|
|
{
|
|
|
|
table_join_clauses.emplace_back();
|
|
|
|
auto & table_join_clause = table_join_clauses.back();
|
|
|
|
|
|
|
|
const auto & join_clause_left_key_nodes = join_clause.getLeftKeyNodes();
|
|
|
|
const auto & join_clause_right_key_nodes = join_clause.getRightKeyNodes();
|
|
|
|
|
|
|
|
size_t join_clause_key_nodes_size = join_clause_left_key_nodes.size();
|
|
|
|
assert(join_clause_key_nodes_size == join_clause_right_key_nodes.size());
|
|
|
|
|
|
|
|
for (size_t i = 0; i < join_clause_key_nodes_size; ++i)
|
|
|
|
{
|
|
|
|
table_join_clause.key_names_left.push_back(join_clause_left_key_nodes[i]->result_name);
|
|
|
|
table_join_clause.key_names_right.push_back(join_clause_right_key_nodes[i]->result_name);
|
|
|
|
}
|
|
|
|
|
|
|
|
const auto & join_clause_get_left_filter_condition_nodes = join_clause.getLeftFilterConditionNodes();
|
|
|
|
if (!join_clause_get_left_filter_condition_nodes.empty())
|
|
|
|
{
|
|
|
|
if (join_clause_get_left_filter_condition_nodes.size() != 1)
|
|
|
|
throw Exception(ErrorCodes::LOGICAL_ERROR,
|
|
|
|
"JOIN {} left filter conditions size must be 1. Actual {}",
|
|
|
|
join_node.formatASTForErrorMessage(),
|
|
|
|
join_clause_get_left_filter_condition_nodes.size());
|
|
|
|
|
|
|
|
const auto & join_clause_left_filter_condition_name = join_clause_get_left_filter_condition_nodes[0]->result_name;
|
|
|
|
table_join_clause.analyzer_left_filter_condition_column_name = join_clause_left_filter_condition_name;
|
|
|
|
}
|
|
|
|
|
|
|
|
const auto & join_clause_get_right_filter_condition_nodes = join_clause.getRightFilterConditionNodes();
|
|
|
|
if (!join_clause_get_right_filter_condition_nodes.empty())
|
|
|
|
{
|
|
|
|
if (join_clause_get_right_filter_condition_nodes.size() != 1)
|
|
|
|
throw Exception(ErrorCodes::LOGICAL_ERROR,
|
|
|
|
"JOIN {} right filter conditions size must be 1. Actual {}",
|
|
|
|
join_node.formatASTForErrorMessage(),
|
|
|
|
join_clause_get_right_filter_condition_nodes.size());
|
|
|
|
|
|
|
|
const auto & join_clause_right_filter_condition_name = join_clause_get_right_filter_condition_nodes[0]->result_name;
|
|
|
|
table_join_clause.analyzer_right_filter_condition_column_name = join_clause_right_filter_condition_name;
|
|
|
|
}
|
2022-09-27 15:04:03 +00:00
|
|
|
|
|
|
|
if (is_asof)
|
|
|
|
{
|
|
|
|
if (!join_clause.hasASOF())
|
|
|
|
throw Exception(ErrorCodes::INVALID_JOIN_ON_EXPRESSION,
|
|
|
|
"JOIN {} no inequality in ASOF JOIN ON section.",
|
|
|
|
join_node.formatASTForErrorMessage());
|
|
|
|
|
|
|
|
if (table_join_clause.key_names_left.size() <= 1)
|
|
|
|
throw Exception(ErrorCodes::SYNTAX_ERROR,
|
|
|
|
"JOIN {} ASOF join needs at least one equi-join column",
|
|
|
|
join_node.formatASTForErrorMessage());
|
|
|
|
}
|
|
|
|
|
|
|
|
if (join_clause.hasASOF())
|
|
|
|
{
|
|
|
|
const auto & asof_conditions = join_clause.getASOFConditions();
|
|
|
|
assert(asof_conditions.size() == 1);
|
|
|
|
|
|
|
|
const auto & asof_condition = asof_conditions[0];
|
|
|
|
table_join->setAsofInequality(asof_condition.asof_inequality);
|
|
|
|
|
|
|
|
/// Execution layer of JOIN algorithms expects that ASOF keys are last JOIN keys
|
|
|
|
std::swap(table_join_clause.key_names_left.at(asof_condition.key_index), table_join_clause.key_names_left.back());
|
|
|
|
std::swap(table_join_clause.key_names_right.at(asof_condition.key_index), table_join_clause.key_names_right.back());
|
|
|
|
}
|
2022-09-15 14:09:30 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
else if (join_node.isUsingJoinExpression())
|
|
|
|
{
|
|
|
|
auto & table_join_clauses = table_join->getClauses();
|
|
|
|
table_join_clauses.emplace_back();
|
|
|
|
auto & table_join_clause = table_join_clauses.back();
|
|
|
|
|
|
|
|
auto & using_list = join_node.getJoinExpression()->as<ListNode &>();
|
|
|
|
|
|
|
|
for (auto & join_using_node : using_list.getNodes())
|
|
|
|
{
|
|
|
|
auto & join_using_column_node = join_using_node->as<ColumnNode &>();
|
2022-10-19 16:49:17 +00:00
|
|
|
auto & using_join_columns_list = join_using_column_node.getExpressionOrThrow()->as<ListNode &>();
|
2022-09-15 14:09:30 +00:00
|
|
|
auto & using_join_left_join_column_node = using_join_columns_list.getNodes().at(0);
|
|
|
|
auto & using_join_right_join_column_node = using_join_columns_list.getNodes().at(1);
|
|
|
|
|
2022-10-19 16:49:17 +00:00
|
|
|
const auto & left_column_identifier = planner_context->getColumnNodeIdentifierOrThrow(using_join_left_join_column_node);
|
|
|
|
const auto & right_column_identifier = planner_context->getColumnNodeIdentifierOrThrow(using_join_right_join_column_node);
|
2022-09-15 14:09:30 +00:00
|
|
|
|
|
|
|
table_join_clause.key_names_left.push_back(left_column_identifier);
|
|
|
|
table_join_clause.key_names_right.push_back(right_column_identifier);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2022-10-26 16:26:26 +00:00
|
|
|
const Block & left_header = left_plan.getCurrentDataStream().header;
|
|
|
|
auto left_table_names = left_header.getNames();
|
2022-09-15 14:09:30 +00:00
|
|
|
NameSet left_table_names_set(left_table_names.begin(), left_table_names.end());
|
|
|
|
|
|
|
|
auto columns_from_joined_table = right_plan.getCurrentDataStream().header.getNamesAndTypesList();
|
|
|
|
table_join->setColumnsFromJoinedTable(columns_from_joined_table, left_table_names_set, "");
|
|
|
|
|
|
|
|
for (auto & column_from_joined_table : columns_from_joined_table)
|
|
|
|
{
|
2023-02-18 16:06:00 +00:00
|
|
|
/// Add columns from joined table only if they are presented in outer scope, otherwise they can be dropped
|
2023-02-05 12:21:00 +00:00
|
|
|
if (planner_context->getGlobalPlannerContext()->hasColumnIdentifier(column_from_joined_table.name) &&
|
|
|
|
outer_scope_columns.contains(column_from_joined_table.name))
|
2022-09-15 14:09:30 +00:00
|
|
|
table_join->addJoinedColumn(column_from_joined_table);
|
|
|
|
}
|
|
|
|
|
2022-10-26 16:26:26 +00:00
|
|
|
const Block & right_header = right_plan.getCurrentDataStream().header;
|
|
|
|
auto join_algorithm = chooseJoinAlgorithm(table_join, join_node.getRightTableExpression(), left_header, right_header, planner_context);
|
2022-09-15 14:09:30 +00:00
|
|
|
|
2022-09-28 11:20:24 +00:00
|
|
|
auto result_plan = QueryPlan();
|
2022-09-15 14:09:30 +00:00
|
|
|
|
2022-09-28 11:20:24 +00:00
|
|
|
if (join_algorithm->isFilled())
|
|
|
|
{
|
|
|
|
auto filled_join_step = std::make_unique<FilledJoinStep>(
|
|
|
|
left_plan.getCurrentDataStream(),
|
|
|
|
join_algorithm,
|
2022-12-23 17:45:28 +00:00
|
|
|
settings.max_block_size);
|
2022-09-15 14:09:30 +00:00
|
|
|
|
2022-09-28 11:20:24 +00:00
|
|
|
filled_join_step->setStepDescription("Filled JOIN");
|
|
|
|
left_plan.addStep(std::move(filled_join_step));
|
|
|
|
|
|
|
|
result_plan = std::move(left_plan);
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
2022-10-18 11:35:04 +00:00
|
|
|
auto add_sorting = [&] (QueryPlan & plan, const Names & key_names, JoinTableSide join_table_side)
|
|
|
|
{
|
|
|
|
SortDescription sort_description;
|
|
|
|
sort_description.reserve(key_names.size());
|
|
|
|
for (const auto & key_name : key_names)
|
|
|
|
sort_description.emplace_back(key_name);
|
|
|
|
|
2022-11-09 16:07:38 +00:00
|
|
|
SortingStep::Settings sort_settings(*query_context);
|
2022-11-01 19:51:52 +00:00
|
|
|
|
2022-10-18 11:35:04 +00:00
|
|
|
auto sorting_step = std::make_unique<SortingStep>(
|
|
|
|
plan.getCurrentDataStream(),
|
|
|
|
std::move(sort_description),
|
|
|
|
0 /*limit*/,
|
2022-11-01 19:51:52 +00:00
|
|
|
sort_settings,
|
2022-10-18 11:35:04 +00:00
|
|
|
settings.optimize_sorting_by_input_stream_properties);
|
|
|
|
sorting_step->setStepDescription(fmt::format("Sort {} before JOIN", join_table_side));
|
|
|
|
plan.addStep(std::move(sorting_step));
|
|
|
|
};
|
|
|
|
|
|
|
|
auto crosswise_connection = CreateSetAndFilterOnTheFlyStep::createCrossConnection();
|
|
|
|
auto add_create_set = [&settings, crosswise_connection](QueryPlan & plan, const Names & key_names, JoinTableSide join_table_side)
|
|
|
|
{
|
|
|
|
auto creating_set_step = std::make_unique<CreateSetAndFilterOnTheFlyStep>(
|
|
|
|
plan.getCurrentDataStream(),
|
|
|
|
key_names,
|
|
|
|
settings.max_rows_in_set_to_optimize_join,
|
|
|
|
crosswise_connection,
|
|
|
|
join_table_side);
|
|
|
|
creating_set_step->setStepDescription(fmt::format("Create set and filter {} joined stream", join_table_side));
|
|
|
|
|
|
|
|
auto * step_raw_ptr = creating_set_step.get();
|
|
|
|
plan.addStep(std::move(creating_set_step));
|
|
|
|
return step_raw_ptr;
|
|
|
|
};
|
|
|
|
|
|
|
|
if (join_algorithm->pipelineType() == JoinPipelineType::YShaped)
|
|
|
|
{
|
|
|
|
const auto & join_clause = table_join->getOnlyClause();
|
|
|
|
|
|
|
|
bool kind_allows_filtering = isInner(join_kind) || isLeft(join_kind) || isRight(join_kind);
|
|
|
|
if (settings.max_rows_in_set_to_optimize_join > 0 && kind_allows_filtering)
|
|
|
|
{
|
|
|
|
auto * left_set = add_create_set(left_plan, join_clause.key_names_left, JoinTableSide::Left);
|
|
|
|
auto * right_set = add_create_set(right_plan, join_clause.key_names_right, JoinTableSide::Right);
|
|
|
|
|
|
|
|
if (isInnerOrLeft(join_kind))
|
|
|
|
right_set->setFiltering(left_set->getSet());
|
|
|
|
|
|
|
|
if (isInnerOrRight(join_kind))
|
|
|
|
left_set->setFiltering(right_set->getSet());
|
|
|
|
}
|
|
|
|
|
|
|
|
add_sorting(left_plan, join_clause.key_names_left, JoinTableSide::Left);
|
|
|
|
add_sorting(right_plan, join_clause.key_names_right, JoinTableSide::Right);
|
|
|
|
}
|
|
|
|
|
2023-01-12 15:33:00 +00:00
|
|
|
auto join_pipeline_type = join_algorithm->pipelineType();
|
2022-09-28 11:20:24 +00:00
|
|
|
auto join_step = std::make_unique<JoinStep>(
|
|
|
|
left_plan.getCurrentDataStream(),
|
|
|
|
right_plan.getCurrentDataStream(),
|
|
|
|
std::move(join_algorithm),
|
2022-12-23 17:45:28 +00:00
|
|
|
settings.max_block_size,
|
|
|
|
settings.max_threads,
|
2022-09-28 11:20:24 +00:00
|
|
|
false /*optimize_read_in_order*/);
|
|
|
|
|
2023-01-12 15:33:00 +00:00
|
|
|
join_step->setStepDescription(fmt::format("JOIN {}", join_pipeline_type));
|
2022-09-28 11:20:24 +00:00
|
|
|
|
|
|
|
std::vector<QueryPlanPtr> plans;
|
|
|
|
plans.emplace_back(std::make_unique<QueryPlan>(std::move(left_plan)));
|
|
|
|
plans.emplace_back(std::make_unique<QueryPlan>(std::move(right_plan)));
|
|
|
|
|
|
|
|
result_plan.unitePlans(std::move(join_step), {std::move(plans)});
|
|
|
|
}
|
2022-09-15 14:09:30 +00:00
|
|
|
|
|
|
|
auto drop_unused_columns_after_join_actions_dag = std::make_shared<ActionsDAG>(result_plan.getCurrentDataStream().header.getColumnsWithTypeAndName());
|
2023-02-04 15:51:43 +00:00
|
|
|
ActionsDAG::NodeRawConstPtrs drop_unused_columns_after_join_actions_dag_updated_outputs;
|
|
|
|
std::unordered_set<std::string_view> drop_unused_columns_after_join_actions_dag_updated_outputs_names;
|
2023-01-22 15:36:13 +00:00
|
|
|
std::optional<size_t> first_skipped_column_node_index;
|
2022-09-15 14:09:30 +00:00
|
|
|
|
2023-01-22 15:36:13 +00:00
|
|
|
auto & drop_unused_columns_after_join_actions_dag_outputs = drop_unused_columns_after_join_actions_dag->getOutputs();
|
|
|
|
size_t drop_unused_columns_after_join_actions_dag_outputs_size = drop_unused_columns_after_join_actions_dag_outputs.size();
|
|
|
|
|
|
|
|
for (size_t i = 0; i < drop_unused_columns_after_join_actions_dag_outputs_size; ++i)
|
2022-09-15 14:09:30 +00:00
|
|
|
{
|
2023-01-22 15:36:13 +00:00
|
|
|
const auto & output = drop_unused_columns_after_join_actions_dag_outputs[i];
|
|
|
|
|
2022-12-23 19:33:46 +00:00
|
|
|
const auto & global_planner_context = planner_context->getGlobalPlannerContext();
|
2023-02-04 15:51:43 +00:00
|
|
|
if (drop_unused_columns_after_join_actions_dag_updated_outputs_names.contains(output->result_name)
|
2023-01-22 15:36:13 +00:00
|
|
|
|| !global_planner_context->hasColumnIdentifier(output->result_name))
|
|
|
|
continue;
|
|
|
|
|
|
|
|
if (!outer_scope_columns.contains(output->result_name))
|
2022-12-23 19:33:46 +00:00
|
|
|
{
|
2023-01-22 15:36:13 +00:00
|
|
|
if (!first_skipped_column_node_index)
|
|
|
|
first_skipped_column_node_index = i;
|
2022-09-15 14:09:30 +00:00
|
|
|
continue;
|
2022-12-23 19:33:46 +00:00
|
|
|
}
|
2022-09-15 14:09:30 +00:00
|
|
|
|
2023-02-04 15:51:43 +00:00
|
|
|
drop_unused_columns_after_join_actions_dag_updated_outputs.push_back(output);
|
|
|
|
drop_unused_columns_after_join_actions_dag_updated_outputs_names.insert(output->result_name);
|
2022-09-15 14:09:30 +00:00
|
|
|
}
|
|
|
|
|
2023-01-22 15:36:13 +00:00
|
|
|
/** It is expected that JOIN TREE query plan will contain at least 1 column, even if there are no columns in outer scope.
|
|
|
|
*
|
|
|
|
* Example: SELECT count() FROM test_table_1 AS t1, test_table_2 AS t2;
|
|
|
|
*/
|
2023-02-04 15:51:43 +00:00
|
|
|
if (drop_unused_columns_after_join_actions_dag_updated_outputs.empty() && first_skipped_column_node_index)
|
|
|
|
drop_unused_columns_after_join_actions_dag_updated_outputs.push_back(drop_unused_columns_after_join_actions_dag_outputs[*first_skipped_column_node_index]);
|
2023-01-22 15:36:13 +00:00
|
|
|
|
2023-02-04 15:51:43 +00:00
|
|
|
drop_unused_columns_after_join_actions_dag_outputs = std::move(drop_unused_columns_after_join_actions_dag_updated_outputs);
|
2022-09-15 14:09:30 +00:00
|
|
|
|
|
|
|
auto drop_unused_columns_after_join_transform_step = std::make_unique<ExpressionStep>(result_plan.getCurrentDataStream(), std::move(drop_unused_columns_after_join_actions_dag));
|
|
|
|
drop_unused_columns_after_join_transform_step->setStepDescription("DROP unused columns after JOIN");
|
|
|
|
result_plan.addStep(std::move(drop_unused_columns_after_join_transform_step));
|
|
|
|
|
2022-12-23 17:45:28 +00:00
|
|
|
return {std::move(result_plan), QueryProcessingStage::FetchColumns};
|
2022-09-15 14:09:30 +00:00
|
|
|
}
|
|
|
|
|
2022-12-23 17:45:28 +00:00
|
|
|
JoinTreeQueryPlan buildQueryPlanForArrayJoinNode(const QueryTreeNodePtr & array_join_table_expression,
|
|
|
|
JoinTreeQueryPlan join_tree_query_plan,
|
2023-02-04 15:51:43 +00:00
|
|
|
const ColumnIdentifierSet & outer_scope_columns,
|
2022-09-15 14:09:30 +00:00
|
|
|
PlannerContextPtr & planner_context)
|
|
|
|
{
|
2022-12-23 17:45:28 +00:00
|
|
|
auto & array_join_node = array_join_table_expression->as<ArrayJoinNode &>();
|
|
|
|
if (join_tree_query_plan.from_stage != QueryProcessingStage::FetchColumns)
|
|
|
|
throw Exception(ErrorCodes::UNSUPPORTED_METHOD,
|
|
|
|
"ARRAY JOIN {} table expression expected to process query to fetch columns stage. Actual {}",
|
|
|
|
array_join_node.formatASTForErrorMessage(),
|
|
|
|
QueryProcessingStage::toString(join_tree_query_plan.from_stage));
|
|
|
|
|
|
|
|
auto plan = std::move(join_tree_query_plan.query_plan);
|
2022-10-19 16:49:17 +00:00
|
|
|
auto plan_output_columns = plan.getCurrentDataStream().header.getColumnsWithTypeAndName();
|
2022-09-15 14:09:30 +00:00
|
|
|
|
2022-10-19 16:49:17 +00:00
|
|
|
ActionsDAGPtr array_join_action_dag = std::make_shared<ActionsDAG>(plan_output_columns);
|
2022-09-15 14:09:30 +00:00
|
|
|
PlannerActionsVisitor actions_visitor(planner_context);
|
2023-02-04 15:51:43 +00:00
|
|
|
std::unordered_set<std::string> array_join_expressions_output_nodes;
|
2022-09-15 14:09:30 +00:00
|
|
|
|
2022-11-08 13:25:23 +00:00
|
|
|
NameSet array_join_column_names;
|
2022-09-15 14:09:30 +00:00
|
|
|
for (auto & array_join_expression : array_join_node.getJoinExpressions().getNodes())
|
|
|
|
{
|
2022-11-08 13:25:23 +00:00
|
|
|
const auto & array_join_column_identifier = planner_context->getColumnNodeIdentifierOrThrow(array_join_expression);
|
|
|
|
array_join_column_names.insert(array_join_column_identifier);
|
2022-09-15 14:09:30 +00:00
|
|
|
|
2022-11-08 13:25:23 +00:00
|
|
|
auto & array_join_expression_column = array_join_expression->as<ColumnNode &>();
|
2022-09-15 14:09:30 +00:00
|
|
|
auto expression_dag_index_nodes = actions_visitor.visit(array_join_action_dag, array_join_expression_column.getExpressionOrThrow());
|
2023-02-04 15:51:43 +00:00
|
|
|
|
2022-09-15 14:09:30 +00:00
|
|
|
for (auto & expression_dag_index_node : expression_dag_index_nodes)
|
|
|
|
{
|
2022-11-08 13:25:23 +00:00
|
|
|
const auto * array_join_column_node = &array_join_action_dag->addAlias(*expression_dag_index_node, array_join_column_identifier);
|
2022-09-15 14:09:30 +00:00
|
|
|
array_join_action_dag->getOutputs().push_back(array_join_column_node);
|
2023-02-04 15:51:43 +00:00
|
|
|
array_join_expressions_output_nodes.insert(array_join_column_node->result_name);
|
2022-09-15 14:09:30 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
array_join_action_dag->projectInput();
|
2022-10-19 16:49:17 +00:00
|
|
|
auto array_join_actions = std::make_unique<ExpressionStep>(plan.getCurrentDataStream(), array_join_action_dag);
|
2022-09-15 14:09:30 +00:00
|
|
|
array_join_actions->setStepDescription("ARRAY JOIN actions");
|
2022-10-19 16:49:17 +00:00
|
|
|
plan.addStep(std::move(array_join_actions));
|
2022-09-15 14:09:30 +00:00
|
|
|
|
2023-02-04 15:51:43 +00:00
|
|
|
auto drop_unused_columns_before_array_join_actions_dag = std::make_shared<ActionsDAG>(plan.getCurrentDataStream().header.getColumnsWithTypeAndName());
|
|
|
|
ActionsDAG::NodeRawConstPtrs drop_unused_columns_before_array_join_actions_dag_updated_outputs;
|
|
|
|
std::unordered_set<std::string_view> drop_unused_columns_before_array_join_actions_dag_updated_outputs_names;
|
|
|
|
|
|
|
|
auto & drop_unused_columns_before_array_join_actions_dag_outputs = drop_unused_columns_before_array_join_actions_dag->getOutputs();
|
|
|
|
size_t drop_unused_columns_before_array_join_actions_dag_outputs_size = drop_unused_columns_before_array_join_actions_dag_outputs.size();
|
|
|
|
|
|
|
|
for (size_t i = 0; i < drop_unused_columns_before_array_join_actions_dag_outputs_size; ++i)
|
|
|
|
{
|
|
|
|
const auto & output = drop_unused_columns_before_array_join_actions_dag_outputs[i];
|
|
|
|
|
|
|
|
if (drop_unused_columns_before_array_join_actions_dag_updated_outputs_names.contains(output->result_name))
|
|
|
|
continue;
|
|
|
|
|
|
|
|
if (!array_join_expressions_output_nodes.contains(output->result_name) &&
|
|
|
|
!outer_scope_columns.contains(output->result_name))
|
|
|
|
continue;
|
|
|
|
|
|
|
|
drop_unused_columns_before_array_join_actions_dag_updated_outputs.push_back(output);
|
|
|
|
drop_unused_columns_before_array_join_actions_dag_updated_outputs_names.insert(output->result_name);
|
|
|
|
}
|
|
|
|
|
|
|
|
drop_unused_columns_before_array_join_actions_dag_outputs = std::move(drop_unused_columns_before_array_join_actions_dag_updated_outputs);
|
|
|
|
|
|
|
|
auto drop_unused_columns_before_array_join_transform_step = std::make_unique<ExpressionStep>(plan.getCurrentDataStream(),
|
|
|
|
std::move(drop_unused_columns_before_array_join_actions_dag));
|
|
|
|
drop_unused_columns_before_array_join_transform_step->setStepDescription("DROP unused columns before ARRAY JOIN");
|
|
|
|
plan.addStep(std::move(drop_unused_columns_before_array_join_transform_step));
|
|
|
|
|
2022-11-08 13:25:23 +00:00
|
|
|
auto array_join_action = std::make_shared<ArrayJoinAction>(array_join_column_names, array_join_node.isLeft(), planner_context->getQueryContext());
|
2022-10-19 16:49:17 +00:00
|
|
|
auto array_join_step = std::make_unique<ArrayJoinStep>(plan.getCurrentDataStream(), std::move(array_join_action));
|
2022-09-15 14:09:30 +00:00
|
|
|
array_join_step->setStepDescription("ARRAY JOIN");
|
2022-10-19 16:49:17 +00:00
|
|
|
plan.addStep(std::move(array_join_step));
|
2022-09-15 14:09:30 +00:00
|
|
|
|
2022-12-23 17:45:28 +00:00
|
|
|
return {std::move(plan), QueryProcessingStage::FetchColumns};
|
2022-09-15 14:09:30 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
}
|
|
|
|
|
2022-12-23 17:45:28 +00:00
|
|
|
JoinTreeQueryPlan buildJoinTreeQueryPlan(const QueryTreeNodePtr & query_node,
|
|
|
|
const SelectQueryInfo & select_query_info,
|
2022-09-15 14:09:30 +00:00
|
|
|
const SelectQueryOptions & select_query_options,
|
2022-12-23 19:33:46 +00:00
|
|
|
const ColumnIdentifierSet & outer_scope_columns,
|
2022-09-15 14:09:30 +00:00
|
|
|
PlannerContextPtr & planner_context)
|
|
|
|
{
|
2023-03-03 16:01:50 +00:00
|
|
|
auto table_expressions_stack = buildTableExpressionsStack(query_node->as<QueryNode &>().getJoinTree());
|
2023-01-12 15:33:00 +00:00
|
|
|
size_t table_expressions_stack_size = table_expressions_stack.size();
|
|
|
|
bool is_single_table_expression = table_expressions_stack_size == 1;
|
|
|
|
|
|
|
|
std::vector<ColumnIdentifierSet> table_expressions_outer_scope_columns(table_expressions_stack_size);
|
|
|
|
ColumnIdentifierSet current_outer_scope_columns = outer_scope_columns;
|
|
|
|
|
2023-03-03 16:01:50 +00:00
|
|
|
/// For each table, table function, query, union table expressions prepare before query plan build
|
|
|
|
for (size_t i = 0; i < table_expressions_stack_size; ++i)
|
|
|
|
{
|
|
|
|
const auto & table_expression = table_expressions_stack[i];
|
|
|
|
auto table_expression_type = table_expression->getNodeType();
|
|
|
|
if (table_expression_type == QueryTreeNodeType::JOIN ||
|
|
|
|
table_expression_type == QueryTreeNodeType::ARRAY_JOIN)
|
|
|
|
continue;
|
|
|
|
|
|
|
|
prepareBuildQueryPlanForTableExpression(table_expression, planner_context);
|
|
|
|
}
|
|
|
|
|
|
|
|
/** If left most table expression query plan is planned to stage that is not equal to fetch columns,
|
|
|
|
* then left most table expression is responsible for providing valid JOIN TREE part of final query plan.
|
|
|
|
*
|
|
|
|
* Examples: Distributed, LiveView, Merge storages.
|
|
|
|
*/
|
|
|
|
auto left_table_expression = table_expressions_stack.front();
|
|
|
|
auto left_table_expression_query_plan = buildQueryPlanForTableExpression(left_table_expression,
|
|
|
|
select_query_info,
|
|
|
|
select_query_options,
|
|
|
|
planner_context,
|
|
|
|
is_single_table_expression,
|
|
|
|
false /*wrap_read_columns_in_subquery*/);
|
|
|
|
if (left_table_expression_query_plan.from_stage != QueryProcessingStage::FetchColumns)
|
|
|
|
return left_table_expression_query_plan;
|
|
|
|
|
2023-01-13 16:53:53 +00:00
|
|
|
for (Int64 i = static_cast<Int64>(table_expressions_stack_size) - 1; i >= 0; --i)
|
2023-01-12 15:33:00 +00:00
|
|
|
{
|
|
|
|
table_expressions_outer_scope_columns[i] = current_outer_scope_columns;
|
2023-02-04 15:51:43 +00:00
|
|
|
auto & table_expression = table_expressions_stack[i];
|
|
|
|
auto table_expression_type = table_expression->getNodeType();
|
2023-01-12 15:33:00 +00:00
|
|
|
|
2023-02-04 15:51:43 +00:00
|
|
|
if (table_expression_type == QueryTreeNodeType::JOIN)
|
|
|
|
collectTopLevelColumnIdentifiers(table_expression, planner_context, current_outer_scope_columns);
|
|
|
|
else if (table_expression_type == QueryTreeNodeType::ARRAY_JOIN)
|
|
|
|
collectTopLevelColumnIdentifiers(table_expression, planner_context, current_outer_scope_columns);
|
2023-01-12 15:33:00 +00:00
|
|
|
}
|
2022-09-15 14:09:30 +00:00
|
|
|
|
2022-12-23 17:45:28 +00:00
|
|
|
std::vector<JoinTreeQueryPlan> query_plans_stack;
|
|
|
|
|
2023-01-12 15:33:00 +00:00
|
|
|
for (size_t i = 0; i < table_expressions_stack_size; ++i)
|
2022-09-15 14:09:30 +00:00
|
|
|
{
|
2023-01-12 15:33:00 +00:00
|
|
|
const auto & table_expression = table_expressions_stack[i];
|
2023-02-11 11:10:53 +00:00
|
|
|
auto table_expression_node_type = table_expression->getNodeType();
|
2023-01-12 15:33:00 +00:00
|
|
|
|
2023-02-11 11:10:53 +00:00
|
|
|
if (table_expression_node_type == QueryTreeNodeType::ARRAY_JOIN)
|
2022-09-15 14:09:30 +00:00
|
|
|
{
|
2022-12-23 17:45:28 +00:00
|
|
|
if (query_plans_stack.empty())
|
|
|
|
throw Exception(ErrorCodes::LOGICAL_ERROR,
|
2023-01-13 16:53:53 +00:00
|
|
|
"Expected at least 1 query plan on stack before ARRAY JOIN processing. Actual {}",
|
|
|
|
query_plans_stack.size());
|
2022-12-23 17:45:28 +00:00
|
|
|
|
|
|
|
auto query_plan = std::move(query_plans_stack.back());
|
|
|
|
query_plans_stack.back() = buildQueryPlanForArrayJoinNode(table_expression,
|
|
|
|
std::move(query_plan),
|
2023-02-04 15:51:43 +00:00
|
|
|
table_expressions_outer_scope_columns[i],
|
2022-12-23 17:45:28 +00:00
|
|
|
planner_context);
|
2022-09-15 14:09:30 +00:00
|
|
|
}
|
2023-02-11 11:10:53 +00:00
|
|
|
else if (table_expression_node_type == QueryTreeNodeType::JOIN)
|
2022-09-15 14:09:30 +00:00
|
|
|
{
|
2023-01-13 16:53:53 +00:00
|
|
|
if (query_plans_stack.size() < 2)
|
2022-12-23 17:45:28 +00:00
|
|
|
throw Exception(ErrorCodes::LOGICAL_ERROR,
|
|
|
|
"Expected at least 2 query plans on stack before JOIN processing. Actual {}",
|
2023-01-13 16:53:53 +00:00
|
|
|
query_plans_stack.size());
|
2022-12-23 17:45:28 +00:00
|
|
|
|
|
|
|
auto right_query_plan = std::move(query_plans_stack.back());
|
|
|
|
query_plans_stack.pop_back();
|
|
|
|
|
|
|
|
auto left_query_plan = std::move(query_plans_stack.back());
|
|
|
|
query_plans_stack.pop_back();
|
|
|
|
|
|
|
|
query_plans_stack.push_back(buildQueryPlanForJoinNode(table_expression,
|
|
|
|
std::move(left_query_plan),
|
|
|
|
std::move(right_query_plan),
|
2023-01-12 15:33:00 +00:00
|
|
|
table_expressions_outer_scope_columns[i],
|
2022-12-23 17:45:28 +00:00
|
|
|
planner_context));
|
2022-09-15 14:09:30 +00:00
|
|
|
}
|
2022-12-23 17:45:28 +00:00
|
|
|
else
|
2022-09-15 14:09:30 +00:00
|
|
|
{
|
2023-03-03 16:01:50 +00:00
|
|
|
if (table_expression == left_table_expression)
|
|
|
|
{
|
2023-03-12 12:43:58 +00:00
|
|
|
query_plans_stack.push_back(std::move(left_table_expression_query_plan)); /// NOLINT
|
2023-03-06 09:53:55 +00:00
|
|
|
left_table_expression = {};
|
2023-03-03 16:01:50 +00:00
|
|
|
continue;
|
|
|
|
}
|
2023-02-09 17:30:57 +00:00
|
|
|
|
2023-03-03 16:01:50 +00:00
|
|
|
/** If table expression is remote and it is not left most table expression, we wrap read columns from such
|
|
|
|
* table expression in subquery.
|
|
|
|
*/
|
|
|
|
bool is_remote = planner_context->getTableExpressionDataOrThrow(table_expression).isRemote();
|
2022-12-23 17:45:28 +00:00
|
|
|
query_plans_stack.push_back(buildQueryPlanForTableExpression(table_expression,
|
|
|
|
select_query_info,
|
|
|
|
select_query_options,
|
|
|
|
planner_context,
|
2023-03-03 16:01:50 +00:00
|
|
|
is_single_table_expression,
|
|
|
|
is_remote /*wrap_read_columns_in_subquery*/));
|
2022-09-15 14:09:30 +00:00
|
|
|
}
|
|
|
|
}
|
2022-12-23 17:45:28 +00:00
|
|
|
|
2023-01-13 16:53:53 +00:00
|
|
|
if (query_plans_stack.size() != 1)
|
|
|
|
throw Exception(ErrorCodes::LOGICAL_ERROR,
|
|
|
|
"Expected 1 query plan for JOIN TREE. Actual {}",
|
|
|
|
query_plans_stack.size());
|
2022-12-23 17:45:28 +00:00
|
|
|
|
|
|
|
return std::move(query_plans_stack.back());
|
2022-09-15 14:09:30 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
}
|