Uses of Class
io.trino.sql.planner.Symbol

Packages that use Symbol

Package	Description
io.trino.cost
io.trino.server
io.trino.sql.planner
io.trino.sql.planner.iterative
io.trino.sql.planner.iterative.rule
io.trino.sql.planner.optimizations
io.trino.sql.planner.optimizations.joins
io.trino.sql.planner.plan
io.trino.sql.planner.planprinter
io.trino.sql.planner.rowpattern

Uses of Symbol in io.trino.cost

Methods in io.trino.cost that return types with arguments of type Symbol

Modifier and Type	Method	Description
Map<Symbol,SymbolStatsEstimate>	PlanNodeStatsEstimate.getSymbolStatistics()
Set<Symbol>	PlanNodeStatsEstimate.getSymbolsWithKnownStatistics()

Methods in io.trino.cost with parameters of type Symbol

Modifier and Type	Method	Description
PlanNodeStatsEstimate.Builder	PlanNodeStatsEstimate.Builder.addSymbolStatistics(Symbol symbol, SymbolStatsEstimate statistics)
static PlanNodeStatsEstimate	SemiJoinStatsCalculator.computeAntiJoin(PlanNodeStatsEstimate sourceStats, PlanNodeStatsEstimate filteringSourceStats, Symbol sourceJoinSymbol, Symbol filteringSourceJoinSymbol)
static PlanNodeStatsEstimate	SemiJoinStatsCalculator.computeSemiJoin(PlanNodeStatsEstimate sourceStats, PlanNodeStatsEstimate filteringSourceStats, Symbol sourceJoinSymbol, Symbol filteringSourceJoinSymbol)
SymbolStatsEstimate	PlanNodeStatsEstimate.getSymbolStatistics(Symbol symbol)
PlanNodeStatsEstimate	PlanNodeStatsEstimate.mapSymbolColumnStatistics(Symbol symbol, Function<SymbolStatsEstimate,SymbolStatsEstimate> mappingFunction)
PlanNodeStatsEstimate.Builder	PlanNodeStatsEstimate.Builder.removeSymbolStatistics(Symbol symbol)

Method parameters in io.trino.cost with type arguments of type Symbol

Modifier and Type	Method	Description
PlanNodeStatsEstimate.Builder	PlanNodeStatsEstimate.Builder.addSymbolStatistics(Map<Symbol,SymbolStatsEstimate> symbolStatistics)
static PlanNodeStatsEstimate	ComparisonStatsCalculator.estimateExpressionToExpressionComparison(PlanNodeStatsEstimate inputStatistics, SymbolStatsEstimate leftExpressionStatistics, Optional<Symbol> leftExpressionSymbol, SymbolStatsEstimate rightExpressionStatistics, Optional<Symbol> rightExpressionSymbol, ComparisonExpression.Operator operator)
static PlanNodeStatsEstimate	ComparisonStatsCalculator.estimateExpressionToLiteralComparison(PlanNodeStatsEstimate inputStatistics, SymbolStatsEstimate expressionStatistics, Optional<Symbol> expressionSymbol, OptionalDouble literalValue, ComparisonExpression.Operator operator)
double	PlanNodeStatsEstimate.getOutputSizeInBytes(Collection<Symbol> outputSymbols, TypeProvider types)	Returns estimated data size.
static double	AggregationStatsRule.getRowsCount(PlanNodeStatsEstimate sourceStats, Collection<Symbol> groupBySymbols)
static PlanNodeStatsEstimate	AggregationStatsRule.groupBy(PlanNodeStatsEstimate sourceStats, Collection<Symbol> groupBySymbols, Map<Symbol,AggregationNode.Aggregation> aggregations)
static PlanNodeStatsEstimate	AggregationStatsRule.groupBy(PlanNodeStatsEstimate sourceStats, Collection<Symbol> groupBySymbols, Map<Symbol,AggregationNode.Aggregation> aggregations)
PlanNodeStatsEstimate	StatsNormalizer.normalize(PlanNodeStatsEstimate stats, Collection<Symbol> outputSymbols, TypeProvider types)

Constructor parameters in io.trino.cost with type arguments of type Symbol

Constructor	Description
PlanNodeStatsEstimate(double outputRowCount, Map<Symbol,SymbolStatsEstimate> symbolStatistics)

Uses of Symbol in io.trino.server

Method parameters in io.trino.server with type arguments of type Symbol

Modifier and Type	Method	Description
DynamicFilter	DynamicFilterService.createDynamicFilter(QueryId queryId, List<DynamicFilters.Descriptor> dynamicFilterDescriptors, Map<Symbol,ColumnHandle> columnHandles, TypeProvider typeProvider)

Uses of Symbol in io.trino.sql.planner

Methods in io.trino.sql.planner that return Symbol

Modifier and Type	Method	Description
static Symbol	Symbol.from(Expression expression)
Symbol	Partitioning.ArgumentBinding.getColumn()
Symbol	SymbolAllocator.newHashSymbol()
Symbol	SymbolAllocator.newSymbol(Field field)
Symbol	SymbolAllocator.newSymbol(Symbol symbolHint)
Symbol	SymbolAllocator.newSymbol(Symbol symbolHint, String suffix)
Symbol	SymbolAllocator.newSymbol(Expression expression, Type type)
Symbol	SymbolAllocator.newSymbol(Expression expression, Type type, String suffix)
Symbol	SymbolAllocator.newSymbol(String nameHint, Type type)
Symbol	SymbolAllocator.newSymbol(String nameHint, Type type, String suffix)

Methods in io.trino.sql.planner that return types with arguments of type Symbol

Modifier and Type	Method	Description
Map<Symbol,Type>	TypeProvider.allTypes()
static List<Symbol>	SymbolsExtractor.extractAll(AggregationNode.Aggregation aggregation)
static List<Symbol>	SymbolsExtractor.extractAll(WindowNode.Function function)
static List<Symbol>	SymbolsExtractor.extractAll(Expression expression)
static Set<Symbol>	SymbolsExtractor.extractOutputSymbols(PlanNode planNode)
static Set<Symbol>	SymbolsExtractor.extractOutputSymbols(PlanNode planNode, Lookup lookup)
static Set<Symbol>	SymbolsExtractor.extractUnique(AggregationNode.Aggregation aggregation)
static Set<Symbol>	SymbolsExtractor.extractUnique(PlanNode node)
static Set<Symbol>	SymbolsExtractor.extractUnique(PlanNode node, Lookup lookup)
static Set<Symbol>	SymbolsExtractor.extractUnique(WindowNode.Function function)
static Set<Symbol>	SymbolsExtractor.extractUnique(Expression expression)
static Set<Symbol>	SymbolsExtractor.extractUnique(Iterable<? extends Expression> expressions)
static Set<Symbol>	SymbolsExtractor.extractUniqueNonRecursive(PlanNode node)
Set<Symbol>	Partitioning.getColumns()
StatisticAggregationsDescriptor<Symbol>	StatisticsAggregationPlanner.TableStatisticAggregation.getDescriptor()
List<Symbol>	NodeAndMappings.getFields()
Optional<Symbol>	PartitioningScheme.getHashColumn()
List<Symbol>	OrderingScheme.getOrderBy()
Map<Symbol,SortOrder>	OrderingScheme.getOrderings()
List<Symbol>	PartitioningScheme.getOutputLayout()
Map<Symbol,Type>	PlanFragment.getSymbols()
TupleDomain<Symbol>	DomainTranslator.ExtractionResult.getTupleDomain()
List<LocalProperty<Symbol>>	OrderingScheme.toLocalProperties()

Methods in io.trino.sql.planner with parameters of type Symbol

Modifier and Type	Method	Description
int	Symbol.compareTo(Symbol o)
Type	TypeProvider.get(Symbol symbol)
SortOrder	OrderingScheme.getOrdering(Symbol symbol)
Object	LookupSymbolResolver.getValue(Symbol symbol)
Object	NoOpSymbolResolver.getValue(Symbol symbol)
Object	SymbolResolver.getValue(Symbol symbol)
Symbol	SymbolAllocator.newSymbol(Symbol symbolHint)
Symbol	SymbolAllocator.newSymbol(Symbol symbolHint, String suffix)

Method parameters in io.trino.sql.planner with type arguments of type Symbol

Modifier and Type	Method	Description
static TypeProvider	TypeProvider.copyOf(Map<Symbol,Type> types)
static NodeAndMappings	PlanCopier.copyPlan(PlanNode plan, List<Symbol> fields, Metadata metadata, SymbolAllocator symbolAllocator, PlanNodeIdAllocator idAllocator)
static Partitioning	Partitioning.create(PartitioningHandle handle, List<Symbol> columns)
DynamicFilter	LocalDynamicFiltersCollector.createDynamicFilter(List<DynamicFilters.Descriptor> descriptors, Map<Symbol,ColumnHandle> columnsMap, TypeProvider typeProvider, Metadata metadata, TypeOperators typeOperators)
StatisticsAggregationPlanner.TableStatisticAggregation	StatisticsAggregationPlanner.createStatisticsAggregation(TableStatisticsMetadata statisticsMetadata, Map<String,Symbol> columnToSymbolMap)
static Optional<SortExpressionContext>	SortExpressionExtractor.extractSortExpression(Metadata metadata, Set<Symbol> buildSymbols, Expression filter)
EqualityInference.EqualityPartition	EqualityInference.generateEqualitiesPartitionedBy(Set<Symbol> scope)	Dumps the inference equalities as equality expressions that are partitioned by the symbolScope.
static Expression	ExpressionSymbolInliner.inlineSymbols(Function<Symbol,Expression> mapping, Expression expression)
static Expression	ExpressionSymbolInliner.inlineSymbols(Map<Symbol,? extends Expression> mapping, Expression expression)
boolean	Partitioning.isCompatibleWith(Partitioning right, Function<Symbol,Set<Symbol>> leftToRightMappings, Function<Symbol,Optional<NullableValue>> leftConstantMapping, Function<Symbol,Optional<NullableValue>> rightConstantMapping, Metadata metadata, Session session)
boolean	Partitioning.isCompatibleWith(Partitioning right, Function<Symbol,Set<Symbol>> leftToRightMappings, Function<Symbol,Optional<NullableValue>> leftConstantMapping, Function<Symbol,Optional<NullableValue>> rightConstantMapping, Metadata metadata, Session session)
boolean	Partitioning.isEffectivelySinglePartition(Set<Symbol> knownConstants)
boolean	Partitioning.isPartitionedOn(Collection<Symbol> columns, Set<Symbol> knownConstants)
boolean	Partitioning.isPartitionedOn(Collection<Symbol> columns, Set<Symbol> knownConstants)
boolean	Partitioning.isRepartitionEffective(Collection<Symbol> keys, Set<Symbol> knownConstants)
boolean	Partitioning.isRepartitionEffective(Collection<Symbol> keys, Set<Symbol> knownConstants)
LocalExecutionPlanner.LocalExecutionPlan	LocalExecutionPlanner.plan(TaskContext taskContext, StageExecutionDescriptor stageExecutionDescriptor, PlanNode plan, List<Symbol> outputLayout, TypeProvider types, List<PlanNodeId> partitionedSourceOrder, OutputFactory outputOperatorFactory)
Expression	EqualityInference.rewrite(Expression expression, Set<Symbol> scope)	Attempts to rewrite an Expression in terms of the symbols allowed by the symbol scope given the known equalities.
static Expression	GroupingOperationRewriter.rewriteGroupingOperation(GroupingOperation expression, List<Set<Integer>> groupingSets, Map<NodeRef<Expression>,ResolvedField> columnReferenceFields, Optional<Symbol> groupIdSymbol)
Expression	DomainTranslator.toPredicate(TupleDomain<Symbol> tupleDomain)
static Expression	ConnectorExpressionTranslator.translate(ConnectorExpression expression, Map<String,Symbol> variableMappings, LiteralEncoder literalEncoder)
Partitioning.ArgumentBinding	Partitioning.ArgumentBinding.translate(Function<Symbol,Symbol> translator)
Partitioning.ArgumentBinding	Partitioning.ArgumentBinding.translate(Function<Symbol,Symbol> translator)
Partitioning	Partitioning.translate(Function<Symbol,Symbol> translator)
Partitioning	Partitioning.translate(Function<Symbol,Symbol> translator)
PartitioningScheme	PartitioningScheme.translateOutputLayout(List<Symbol> newOutputLayout)
static TypeProvider	TypeProvider.viewOf(Map<Symbol,Type> types)

Constructor parameters in io.trino.sql.planner with type arguments of type Symbol

Constructor	Description
ExtractionResult(TupleDomain<Symbol> tupleDomain, Expression remainingExpression)
LayoutConstraintEvaluator(Metadata metadata, TypeAnalyzer typeAnalyzer, Session session, TypeProvider types, Map<Symbol,ColumnHandle> assignments, Expression expression)
LookupSymbolResolver(Map<Symbol,ColumnHandle> assignments, Map<ColumnHandle,NullableValue> bindings)
NodeAndMappings(PlanNode node, List<Symbol> fields)
OrderingScheme(List<Symbol> orderBy, Map<Symbol,SortOrder> orderings)
OrderingScheme(List<Symbol> orderBy, Map<Symbol,SortOrder> orderings)
PartitioningScheme(Partitioning partitioning, List<Symbol> outputLayout)
PartitioningScheme(Partitioning partitioning, List<Symbol> outputLayout, Optional<Symbol> hashColumn)
PartitioningScheme(Partitioning partitioning, List<Symbol> outputLayout, Optional<Symbol> hashColumn)
PartitioningScheme(Partitioning partitioning, List<Symbol> outputLayout, Optional<Symbol> hashColumn, boolean replicateNullsAndAny, Optional<int[]> bucketToPartition)
PartitioningScheme(Partitioning partitioning, List<Symbol> outputLayout, Optional<Symbol> hashColumn, boolean replicateNullsAndAny, Optional<int[]> bucketToPartition)
PlanFragment(PlanFragmentId id, PlanNode root, Map<Symbol,Type> symbols, PartitioningHandle partitioning, List<PlanNodeId> partitionedSources, PartitioningScheme partitioningScheme, StageExecutionDescriptor stageExecutionDescriptor, StatsAndCosts statsAndCosts, Optional<String> jsonRepresentation)
SymbolAllocator(Map<Symbol,Type> initial)
Translator(Function<Symbol,Optional<Symbol>> columnTranslator, Function<Symbol,Optional<NullableValue>> constantTranslator, Function<Expression,Optional<Symbol>> expressionTranslator)
Translator(Function<Symbol,Optional<Symbol>> columnTranslator, Function<Symbol,Optional<NullableValue>> constantTranslator, Function<Expression,Optional<Symbol>> expressionTranslator)

Uses of Symbol in io.trino.sql.planner.iterative

Methods in io.trino.sql.planner.iterative that return types with arguments of type Symbol

Modifier and Type	Method	Description
List<Symbol>	GroupReference.getOutputSymbols()

Constructor parameters in io.trino.sql.planner.iterative with type arguments of type Symbol

Constructor	Description
GroupReference(PlanNodeId id, int groupId, List<Symbol> outputs)

Uses of Symbol in io.trino.sql.planner.iterative.rule

Methods in io.trino.sql.planner.iterative.rule that return Symbol

Modifier and Type	Method	Description
Symbol	SetOperationNodeTranslator.TranslationResult.getRowNumberSymbol()

Methods in io.trino.sql.planner.iterative.rule that return types with arguments of type Symbol

Modifier and Type	Method	Description
List<Symbol>	SetOperationNodeTranslator.TranslationResult.getCountSymbols()

Method parameters in io.trino.sql.planner.iterative.rule with type arguments of type Symbol

Modifier and Type	Method	Description
static PlanNode	EliminateCrossJoins.buildJoinTree(List<Symbol> expectedOutputSymbols, JoinGraph graph, List<Integer> joinOrder, PlanNodeIdAllocator idAllocator)
static Optional<PlanNode>	PruneTableScanColumns.pruneColumns(Metadata metadata, TypeProvider types, Session session, TableScanNode node, Set<Symbol> referencedOutputs)
static Optional<PlanNode>	PushAggregationIntoTableScan.pushAggregationIntoTableScan(Metadata metadata, Rule.Context context, PlanNode aggregationNode, TableScanNode tableScan, Map<Symbol,AggregationNode.Aggregation> aggregations, List<Symbol> groupingKeys)
static Optional<PlanNode>	PushAggregationIntoTableScan.pushAggregationIntoTableScan(Metadata metadata, Rule.Context context, PlanNode aggregationNode, TableScanNode tableScan, Map<Symbol,AggregationNode.Aggregation> aggregations, List<Symbol> groupingKeys)
protected abstract Optional<PlanNode>	ProjectOffPushDownRule.pushDownProjectOff(Rule.Context context, N targetNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneAggregationColumns.pushDownProjectOff(Rule.Context context, AggregationNode aggregationNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneApplyColumns.pushDownProjectOff(Rule.Context context, ApplyNode applyNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneAssignUniqueIdColumns.pushDownProjectOff(Rule.Context context, AssignUniqueId assignUniqueId, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneCorrelatedJoinColumns.pushDownProjectOff(Rule.Context context, CorrelatedJoinNode correlatedJoinNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneEnforceSingleRowColumns.pushDownProjectOff(Rule.Context context, EnforceSingleRowNode enforceSingleRowNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneExchangeColumns.pushDownProjectOff(Rule.Context context, ExchangeNode exchangeNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneFilterColumns.pushDownProjectOff(Rule.Context context, FilterNode filterNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneGroupIdColumns.pushDownProjectOff(Rule.Context context, GroupIdNode groupIdNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneIndexJoinColumns.pushDownProjectOff(Rule.Context context, IndexJoinNode indexJoinNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneIndexSourceColumns.pushDownProjectOff(Rule.Context context, IndexSourceNode indexSourceNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneJoinColumns.pushDownProjectOff(Rule.Context context, JoinNode joinNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneLimitColumns.pushDownProjectOff(Rule.Context context, LimitNode limitNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneMarkDistinctColumns.pushDownProjectOff(Rule.Context context, MarkDistinctNode markDistinctNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneOffsetColumns.pushDownProjectOff(Rule.Context context, OffsetNode offsetNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PrunePattenRecognitionColumns.pushDownProjectOff(Rule.Context context, PatternRecognitionNode patternRecognitionNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneProjectColumns.pushDownProjectOff(Rule.Context context, ProjectNode childProjectNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneRowNumberColumns.pushDownProjectOff(Rule.Context context, RowNumberNode rowNumberNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneSampleColumns.pushDownProjectOff(Rule.Context context, SampleNode sampleNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneSemiJoinColumns.pushDownProjectOff(Rule.Context context, SemiJoinNode semiJoinNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneSortColumns.pushDownProjectOff(Rule.Context context, SortNode sortNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneSpatialJoinColumns.pushDownProjectOff(Rule.Context context, SpatialJoinNode spatialJoinNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneTableScanColumns.pushDownProjectOff(Rule.Context context, TableScanNode node, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneTopNColumns.pushDownProjectOff(Rule.Context context, TopNNode topNNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneTopNRankingColumns.pushDownProjectOff(Rule.Context context, TopNRankingNode topNRankingNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneUnionColumns.pushDownProjectOff(Rule.Context context, UnionNode unionNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneUnnestColumns.pushDownProjectOff(Rule.Context context, UnnestNode unnestNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneValuesColumns.pushDownProjectOff(Rule.Context context, ValuesNode valuesNode, Set<Symbol> referencedOutputs)
protected Optional<PlanNode>	PruneWindowColumns.pushDownProjectOff(Rule.Context context, WindowNode windowNode, Set<Symbol> referencedOutputs)
static PlanNode	ImplementLimitWithTies.rewriteLimitWithTiesWithPartitioning(LimitNode limitNode, PlanNode source, Session session, Metadata metadata, PlanNodeIdAllocator idAllocator, SymbolAllocator symbolAllocator, List<Symbol> partitionBy)	Rewrite LimitNode with ties to WindowNode and FilterNode, with partitioning defined by partitionBy.

Constructor parameters in io.trino.sql.planner.iterative.rule with type arguments of type Symbol

Constructor	Description
TranslationResult(PlanNode planNode, List<Symbol> countSymbols)
TranslationResult(PlanNode planNode, List<Symbol> countSymbols, Optional<Symbol> rowNumberSymbol)
TranslationResult(PlanNode planNode, List<Symbol> countSymbols, Optional<Symbol> rowNumberSymbol)

Uses of Symbol in io.trino.sql.planner.optimizations

Methods in io.trino.sql.planner.optimizations that return Symbol

Modifier and Type	Method	Description
Symbol	SymbolMapper.map(Symbol symbol)

Methods in io.trino.sql.planner.optimizations that return types with arguments of type Symbol

Modifier and Type	Method	Description
static Optional<Symbol>	PropertyDerivations.filterIfMissing(Collection<Symbol> columns, Symbol column)
static Optional<Symbol>	PropertyDerivations.filterOrRewrite(Collection<Symbol> columns, Collection<JoinNode.EquiJoinClause> equalities, Symbol column)
Map<Symbol,NullableValue>	ActualProperties.getConstants()
List<LocalProperty<Symbol>>	ActualProperties.getLocalProperties()
List<LocalProperty<Symbol>>	StreamPropertyDerivations.StreamProperties.getLocalProperties()
Optional<List<Symbol>>	StreamPreferredProperties.getPartitioningColumns()
Optional<List<Symbol>>	StreamPropertyDerivations.StreamProperties.getPartitioningColumns()
List<Symbol>	SymbolMapper.map(List<Symbol> symbols)
List<Symbol>	SymbolMapper.mapAndDistinct(List<Symbol> symbols)
static Map<Symbol,Symbol>	IndexJoinOptimizer.IndexKeyTracer.trace(PlanNode node, Set<Symbol> lookupSymbols)
static Map<Symbol,Symbol>	IndexJoinOptimizer.IndexKeyTracer.trace(PlanNode node, Set<Symbol> lookupSymbols)

Methods in io.trino.sql.planner.optimizations with parameters of type Symbol

Modifier and Type	Method	Description
static Optional<Symbol>	PropertyDerivations.filterIfMissing(Collection<Symbol> columns, Symbol column)
static Optional<Symbol>	PropertyDerivations.filterOrRewrite(Collection<Symbol> columns, Collection<JoinNode.EquiJoinClause> equalities, Symbol column)
Symbol	SymbolMapper.map(Symbol symbol)
void	SymbolMapper.Builder.put(Symbol from, Symbol to)

Method parameters in io.trino.sql.planner.optimizations with type arguments of type Symbol

Modifier and Type	Method	Description
ActualProperties.Builder	ActualProperties.Builder.constants(Map<Symbol,NullableValue> constants)
StreamPreferredProperties	StreamPreferredProperties.constrainTo(Iterable<Symbol> symbols)
Optional<PlanNodeDecorrelator.DecorrelatedNode>	PlanNodeDecorrelator.decorrelateFilters(PlanNode node, List<Symbol> correlation)
static StreamPreferredProperties	StreamPreferredProperties.exactlyPartitionedOn(Collection<Symbol> partitionSymbols)
static Optional<Symbol>	PropertyDerivations.filterIfMissing(Collection<Symbol> columns, Symbol column)
static Optional<Symbol>	PropertyDerivations.filterOrRewrite(Collection<Symbol> columns, Collection<JoinNode.EquiJoinClause> equalities, Symbol column)
static Optional<Expression>	HashGenerationOptimizer.getHashExpression(Session session, Metadata metadata, SymbolAllocator symbolAllocator, List<Symbol> symbols)
boolean	ActualProperties.isCompatibleTablePartitioningWith(ActualProperties other, Function<Symbol,Set<Symbol>> symbolMappings, Metadata metadata, Session session)
boolean	ActualProperties.isCompatibleTablePartitioningWith(ActualProperties other, Function<Symbol,Set<Symbol>> symbolMappings, Metadata metadata, Session session)
boolean	StreamPropertyDerivations.StreamProperties.isExactlyPartitionedOn(Iterable<Symbol> columns)
boolean	ActualProperties.isNodePartitionedOn(Collection<Symbol> columns)
boolean	ActualProperties.isNodePartitionedOn(Collection<Symbol> columns, boolean nullsAndAnyReplicated)
boolean	StreamPropertyDerivations.StreamProperties.isPartitionedOn(Iterable<Symbol> columns)
boolean	ActualProperties.isStreamPartitionedOn(Collection<Symbol> columns)
boolean	ActualProperties.isStreamPartitionedOn(Collection<Symbol> columns, boolean nullsAndAnyReplicated)
boolean	ActualProperties.isStreamRepartitionEffective(Collection<Symbol> keys)
ActualProperties.Builder	ActualProperties.Builder.local(List<? extends LocalProperty<Symbol>> localProperties)
PartitioningScheme	SymbolMapper.map(PartitioningScheme scheme, List<Symbol> sourceLayout)
List<Symbol>	SymbolMapper.map(List<Symbol> symbols)
List<Symbol>	SymbolMapper.mapAndDistinct(List<Symbol> symbols)
static ActualProperties.Global	ActualProperties.Global.partitionedOn(PartitioningHandle nodePartitioningHandle, List<Symbol> nodePartitioning, Optional<List<Symbol>> streamPartitioning)
static ActualProperties.Global	ActualProperties.Global.partitionedOn(PartitioningHandle nodePartitioningHandle, List<Symbol> nodePartitioning, Optional<List<Symbol>> streamPartitioning)
static StreamPreferredProperties	StreamPreferredProperties.partitionedOn(Collection<Symbol> partitionSymbols)
NodeAndMappings	UnaliasSymbolReferences.reallocateSymbols(PlanNode plan, List<Symbol> fields, SymbolAllocator symbolAllocator)	Replace all symbols in the plan with new symbols.
static ActualProperties.Global	ActualProperties.Global.streamPartitionedOn(List<Symbol> streamPartitioning)
static SymbolMapper	SymbolMapper.symbolMapper(Map<Symbol,Symbol> mapping)
static SymbolMapper	SymbolMapper.symbolMapper(Map<Symbol,Symbol> mapping)
static SymbolMapper	SymbolMapper.symbolReallocator(Map<Symbol,Symbol> mapping, SymbolAllocator symbolAllocator)
static SymbolMapper	SymbolMapper.symbolReallocator(Map<Symbol,Symbol> mapping, SymbolAllocator symbolAllocator)
static Map<Symbol,Symbol>	IndexJoinOptimizer.IndexKeyTracer.trace(PlanNode node, Set<Symbol> lookupSymbols)
ActualProperties	ActualProperties.translate(Function<Symbol,Optional<Symbol>> translator)
ActualProperties	ActualProperties.translate(Function<Symbol,Optional<Symbol>> translator)
ActualProperties	ActualProperties.translate(Function<Symbol,Optional<Symbol>> translator, Function<Expression,Optional<Symbol>> expressionTranslator)
ActualProperties	ActualProperties.translate(Function<Symbol,Optional<Symbol>> translator, Function<Expression,Optional<Symbol>> expressionTranslator)
StreamPreferredProperties	StreamPreferredProperties.translate(Function<Symbol,Optional<Symbol>> translator)
StreamPreferredProperties	StreamPreferredProperties.translate(Function<Symbol,Optional<Symbol>> translator)
StreamPropertyDerivations.StreamProperties	StreamPropertyDerivations.StreamProperties.translate(Function<Symbol,Optional<Symbol>> translator)
StreamPropertyDerivations.StreamProperties	StreamPropertyDerivations.StreamProperties.translate(Function<Symbol,Optional<Symbol>> translator)
StreamPreferredProperties	StreamPreferredProperties.withPartitioning(Collection<Symbol> partitionSymbols)

Constructor parameters in io.trino.sql.planner.optimizations with type arguments of type Symbol

Constructor	Description
Builder(ActualProperties.Global global, List<LocalProperty<Symbol>> localProperties, Map<Symbol,NullableValue> constants)
Builder(ActualProperties.Global global, List<LocalProperty<Symbol>> localProperties, Map<Symbol,NullableValue> constants)
SymbolMapper(Function<Symbol,Symbol> mappingFunction)
SymbolMapper(Function<Symbol,Symbol> mappingFunction)

Uses of Symbol in io.trino.sql.planner.optimizations.joins

Methods in io.trino.sql.planner.optimizations.joins that return Symbol

Modifier and Type	Method	Description
Symbol	JoinGraph.Edge.getSourceSymbol()
Symbol	JoinGraph.Edge.getTargetSymbol()

Constructors in io.trino.sql.planner.optimizations.joins with parameters of type Symbol

Constructor	Description
Edge(PlanNode targetNode, Symbol sourceSymbol, Symbol targetSymbol)

Uses of Symbol in io.trino.sql.planner.plan

Methods in io.trino.sql.planner.plan that return Symbol

Modifier and Type	Method	Description
Symbol	SemiJoinNode.getFilteringSourceJoinSymbol()
Symbol	TableExecuteNode.getFragmentSymbol()
Symbol	TableWriterNode.getFragmentSymbol()
Symbol	GroupIdNode.getGroupIdSymbol()
Symbol	AssignUniqueId.getIdColumn()
Symbol	IndexJoinNode.EquiJoinClause.getIndex()
Symbol	UnnestNode.Mapping.getInput()
Symbol	JoinNode.EquiJoinClause.getLeft()
Symbol	MarkDistinctNode.getMarkerSymbol()
Symbol	Assignments.Assignment.getOutput()
Symbol	TableDeleteNode.getOutput()
Symbol	ExplainAnalyzeNode.getOutputSymbol()
Symbol	IndexJoinNode.EquiJoinClause.getProbe()
Symbol	TopNRankingNode.getRankingSymbol()
Symbol	JoinNode.EquiJoinClause.getRight()
Symbol	StatisticsWriterNode.getRowCountSymbol()
Symbol	TableExecuteNode.getRowCountSymbol()
Symbol	TableFinishNode.getRowCountSymbol()
Symbol	TableWriterNode.getRowCountSymbol()
Symbol	DeleteNode.getRowId()
Symbol	UpdateNode.getRowId()
Symbol	RowNumberNode.getRowNumberSymbol()
Symbol	SemiJoinNode.getSemiJoinOutput()
Symbol	SemiJoinNode.getSourceJoinSymbol()

Methods in io.trino.sql.planner.plan that return types with arguments of type Symbol

Modifier and Type	Method	Description
static Property<ApplyNode,Lookup,List<Symbol>>	Patterns.Apply.correlation()
static Property<CorrelatedJoinNode,Lookup,List<Symbol>>	Patterns.CorrelatedJoin.correlation()
Set<Map.Entry<Symbol,Expression>>	Assignments.entrySet()
List<Symbol>	ExplainAnalyzeNode.getActualOutputs()
List<Symbol>	GroupIdNode.getAggregationArguments()
Map<Symbol,AggregationNode.Aggregation>	AggregationNode.getAggregations()
Map<Symbol,AggregationNode.Aggregation>	StatisticAggregations.getAggregations()
Map<Symbol,ColumnHandle>	IndexSourceNode.getAssignments()
Map<Symbol,ColumnHandle>	TableScanNode.getAssignments()
List<Symbol>	TableExecuteNode.getColumns()
List<Symbol>	TableWriterNode.getColumns()
List<Symbol>	UpdateNode.getColumnValueAndRowIdSymbols()
Set<Symbol>	GroupIdNode.getCommonGroupingColumns()
List<Symbol>	ApplyNode.getCorrelation()
List<Symbol>	CorrelatedJoinNode.getCorrelation()
Set<Symbol>	PatternRecognitionNode.getCreatedSymbols()
Set<Symbol>	WindowNode.getCreatedSymbols()
StatisticAggregationsDescriptor<Symbol>	StatisticsWriterNode.getDescriptor()
List<Symbol>	DistinctLimitNode.getDistinctSymbols()
List<Symbol>	MarkDistinctNode.getDistinctSymbols()
Map<DynamicFilterId,Symbol>	JoinNode.getDynamicFilters()
Optional<Symbol>	WindowNode.Frame.getEndValue()
Optional<Symbol>	AggregationNode.Aggregation.getFilter()
Optional<Symbol>	SemiJoinNode.getFilteringSourceHashSymbol()
Optional<Symbol>	AggregationNode.getGroupIdSymbol()
Map<Symbol,Symbol>	GroupIdNode.getGroupingColumns()
Map<Symbol,Symbol>	GroupIdNode.getGroupingColumns()
List<Symbol>	AggregationNode.getGroupingKeys()
List<Symbol>	AggregationNode.GroupingSetDescriptor.getGroupingKeys()
List<List<Symbol>>	GroupIdNode.getGroupingSets()
List<Symbol>	StatisticAggregations.getGroupingSymbols()
Optional<Symbol>	AggregationNode.getHashSymbol()
Optional<Symbol>	DistinctLimitNode.getHashSymbol()
Optional<Symbol>	MarkDistinctNode.getHashSymbol()
Optional<Symbol>	PatternRecognitionNode.getHashSymbol()
Optional<Symbol>	RowNumberNode.getHashSymbol()
Optional<Symbol>	TopNRankingNode.getHashSymbol()
Optional<Symbol>	WindowNode.getHashSymbol()
Optional<Symbol>	IndexJoinNode.getIndexHashSymbol()
List<List<Symbol>>	ExchangeNode.getInputs()
Set<Symbol>	GroupIdNode.getInputSymbols()
Optional<Symbol>	JoinNode.getLeftHashSymbol()
List<Symbol>	JoinNode.getLeftOutputSymbols()
Optional<Symbol>	SpatialJoinNode.getLeftPartitionSymbol()
Set<Symbol>	IndexSourceNode.getLookupSymbols()
Map<Symbol,Expression>	Assignments.getMap()
Map<Symbol,Symbol>	StatisticAggregations.Parts.getMappings()
Map<Symbol,Symbol>	StatisticAggregations.Parts.getMappings()
Optional<Symbol>	AggregationNode.Aggregation.getMask()
Map<Symbol,PatternRecognitionNode.Measure>	PatternRecognitionNode.getMeasures()
Set<Symbol>	TableWriterNode.getNotNullColumnSymbols()
Optional<Symbol>	UnnestNode.getOrdinalitySymbol()
List<Symbol>	Assignments.getOutputs()
List<Symbol>	UnnestNode.Mapping.getOutputs()
List<Symbol>	AggregationNode.getOutputSymbols()
List<Symbol>	ApplyNode.getOutputSymbols()
List<Symbol>	AssignUniqueId.getOutputSymbols()
List<Symbol>	CorrelatedJoinNode.getOutputSymbols()
List<Symbol>	DeleteNode.getOutputSymbols()	Aggregate information about deleted data
List<Symbol>	DistinctLimitNode.getOutputSymbols()
List<Symbol>	EnforceSingleRowNode.getOutputSymbols()
List<Symbol>	ExchangeNode.getOutputSymbols()
List<Symbol>	ExplainAnalyzeNode.getOutputSymbols()
List<Symbol>	FilterNode.getOutputSymbols()
List<Symbol>	GroupIdNode.getOutputSymbols()
List<Symbol>	IndexJoinNode.getOutputSymbols()
List<Symbol>	IndexSourceNode.getOutputSymbols()
List<Symbol>	JoinNode.getOutputSymbols()
List<Symbol>	LimitNode.getOutputSymbols()
List<Symbol>	MarkDistinctNode.getOutputSymbols()
List<Symbol>	OffsetNode.getOutputSymbols()
List<Symbol>	OutputNode.getOutputSymbols()
List<Symbol>	PatternRecognitionNode.getOutputSymbols()
abstract List<Symbol>	PlanNode.getOutputSymbols()
List<Symbol>	ProjectNode.getOutputSymbols()
List<Symbol>	RefreshMaterializedViewNode.getOutputSymbols()
List<Symbol>	RemoteSourceNode.getOutputSymbols()
List<Symbol>	RowNumberNode.getOutputSymbols()
List<Symbol>	SampleNode.getOutputSymbols()
List<Symbol>	SemiJoinNode.getOutputSymbols()
List<Symbol>	SetOperationNode.getOutputSymbols()
List<Symbol>	SortNode.getOutputSymbols()
List<Symbol>	SpatialJoinNode.getOutputSymbols()
List<Symbol>	StatisticsWriterNode.getOutputSymbols()
List<Symbol>	TableDeleteNode.getOutputSymbols()
List<Symbol>	TableExecuteNode.getOutputSymbols()
List<Symbol>	TableFinishNode.getOutputSymbols()
List<Symbol>	TableScanNode.getOutputSymbols()
List<Symbol>	TableWriterNode.getOutputSymbols()
List<Symbol>	TopNNode.getOutputSymbols()
List<Symbol>	TopNRankingNode.getOutputSymbols()
List<Symbol>	UnnestNode.getOutputSymbols()
List<Symbol>	UpdateNode.getOutputSymbols()	Aggregate information about updated data
List<Symbol>	ValuesNode.getOutputSymbols()
List<Symbol>	WindowNode.getOutputSymbols()
List<Symbol>	PatternRecognitionNode.getPartitionBy()
List<Symbol>	RowNumberNode.getPartitionBy()
List<Symbol>	TopNRankingNode.getPartitionBy()
List<Symbol>	WindowNode.getPartitionBy()
List<Symbol>	WindowNode.Specification.getPartitionBy()
List<Symbol>	AggregationNode.getPreGroupedSymbols()
Set<Symbol>	PatternRecognitionNode.getPrePartitionedInputs()
Set<Symbol>	WindowNode.getPrePartitionedInputs()
List<Symbol>	LimitNode.getPreSortedInputs()
Optional<Symbol>	IndexJoinNode.getProbeHashSymbol()
List<Symbol>	UnnestNode.getReplicateSymbols()
Optional<Symbol>	JoinNode.getRightHashSymbol()
List<Symbol>	JoinNode.getRightOutputSymbols()
Optional<Symbol>	SpatialJoinNode.getRightPartitionSymbol()
Optional<Symbol>	WindowNode.Frame.getSortKeyCoercedForFrameEndComparison()
Optional<Symbol>	WindowNode.Frame.getSortKeyCoercedForFrameStartComparison()
Optional<Symbol>	SemiJoinNode.getSourceHashSymbol()
Optional<Symbol>	WindowNode.Frame.getStartValue()
Optional<StatisticAggregationsDescriptor<Symbol>>	TableFinishNode.getStatisticsAggregationDescriptor()
Optional<StatisticAggregationsDescriptor<Symbol>>	TableWriterNode.getStatisticsAggregationDescriptor()
com.google.common.collect.ListMultimap<Symbol,Symbol>	SetOperationNode.getSymbolMapping()
com.google.common.collect.ListMultimap<Symbol,Symbol>	SetOperationNode.getSymbolMapping()
Set<Symbol>	Assignments.getSymbols()
Map<Symbol,WindowNode.Function>	PatternRecognitionNode.getWindowFunctions()
Map<Symbol,WindowNode.Function>	WindowNode.getWindowFunctions()
static Property<AggregationNode,Lookup,List<Symbol>>	Patterns.Aggregation.groupingColumns()
com.google.common.collect.Multimap<Symbol,SymbolReference>	SetOperationNode.outputSymbolMap(int sourceIndex)	Returns the input to output symbol mapping for the given source channel.
List<Symbol>	SetOperationNode.sourceOutputLayout(int sourceIndex)
Map<Symbol,SymbolReference>	SetOperationNode.sourceSymbolMap(int sourceIndex)	Returns the output to input symbol mapping for the given source channel

Methods in io.trino.sql.planner.plan with parameters of type Symbol

Modifier and Type	Method	Description
Expression	Assignments.get(Symbol symbol)
static Assignments	Assignments.identity(Symbol... symbols)
boolean	Assignments.isIdentity(Symbol output)
static Assignments	Assignments.of(Symbol symbol, Expression expression)
static Assignments	Assignments.of(Symbol symbol1, Expression expression1, Symbol symbol2, Expression expression2)
Assignments.Builder	Assignments.Builder.put(Symbol symbol, Expression expression)
Assignments.Builder	Assignments.Builder.putIdentity(Symbol symbol)

Method parameters in io.trino.sql.planner.plan with type arguments of type Symbol

Modifier and Type	Method	Description
static Assignments	Assignments.copyOf(Map<Symbol,Expression> assignments)
Assignments	Assignments.filter(Collection<Symbol> symbols)
Assignments	Assignments.filter(Predicate<Symbol> predicate)
void	Assignments.forEach(BiConsumer<Symbol,Expression> consumer)
static AggregationNode.GroupingSetDescriptor	AggregationNode.groupingSets(List<Symbol> groupingKeys, int groupingSetCount, Set<Integer> globalGroupingSets)
static Assignments	Assignments.identity(Iterable<Symbol> symbols)
static TableScanNode	TableScanNode.newInstance(PlanNodeId id, TableHandle table, List<Symbol> outputs, Map<Symbol,ColumnHandle> assignments, boolean updateTarget, Optional<Boolean> useConnectorNodePartitioning)	Deprecated. Use explicit constructor instead.
static TableScanNode	TableScanNode.newInstance(PlanNodeId id, TableHandle table, List<Symbol> outputs, Map<Symbol,ColumnHandle> assignments, boolean updateTarget, Optional<Boolean> useConnectorNodePartitioning)	Deprecated. Use explicit constructor instead.
static ExchangeNode	ExchangeNode.partitionedExchange(PlanNodeId id, ExchangeNode.Scope scope, PlanNode child, List<Symbol> partitioningColumns, Optional<Symbol> hashColumns)
static ExchangeNode	ExchangeNode.partitionedExchange(PlanNodeId id, ExchangeNode.Scope scope, PlanNode child, List<Symbol> partitioningColumns, Optional<Symbol> hashColumns)
static ExchangeNode	ExchangeNode.partitionedExchange(PlanNodeId id, ExchangeNode.Scope scope, PlanNode child, List<Symbol> partitioningColumns, Optional<Symbol> hashColumns, boolean replicateNullsAndAny)
static ExchangeNode	ExchangeNode.partitionedExchange(PlanNodeId id, ExchangeNode.Scope scope, PlanNode child, List<Symbol> partitioningColumns, Optional<Symbol> hashColumns, boolean replicateNullsAndAny)
Assignments.Builder	Assignments.Builder.put(Map.Entry<Symbol,Expression> assignment)
Assignments.Builder	Assignments.Builder.putAll(Map<Symbol,? extends Expression> assignments)
Assignments.Builder	Assignments.Builder.putIdentities(Iterable<Symbol> symbols)
static AggregationNode.GroupingSetDescriptor	AggregationNode.singleGroupingSet(List<Symbol> groupingKeys)

Constructors in io.trino.sql.planner.plan with parameters of type Symbol

Constructor	Description
Assignment(Symbol output, Expression expression)
AssignUniqueId(PlanNodeId id, PlanNode source, Symbol idColumn)
DeleteNode(PlanNodeId id, PlanNode source, TableWriterNode.DeleteTarget target, Symbol rowId, List<Symbol> outputs)
EquiJoinClause(Symbol probe, Symbol index)
EquiJoinClause(Symbol left, Symbol right)
ExplainAnalyzeNode(PlanNodeId id, PlanNode source, Symbol outputSymbol, List<Symbol> actualOutputs, boolean verbose)
GroupIdNode(PlanNodeId id, PlanNode source, List<List<Symbol>> groupingSets, Map<Symbol,Symbol> groupingColumns, List<Symbol> aggregationArguments, Symbol groupIdSymbol)
Mapping(Symbol input, List<Symbol> outputs)
MarkDistinctNode(PlanNodeId id, PlanNode source, Symbol markerSymbol, List<Symbol> distinctSymbols, Optional<Symbol> hashSymbol)
RowNumberNode(PlanNodeId id, PlanNode source, List<Symbol> partitionBy, boolean orderSensitive, Symbol rowNumberSymbol, Optional<Integer> maxRowCountPerPartition, Optional<Symbol> hashSymbol)
SemiJoinNode(PlanNodeId id, PlanNode source, PlanNode filteringSource, Symbol sourceJoinSymbol, Symbol filteringSourceJoinSymbol, Symbol semiJoinOutput, Optional<Symbol> sourceHashSymbol, Optional<Symbol> filteringSourceHashSymbol, Optional<SemiJoinNode.DistributionType> distributionType, Optional<DynamicFilterId> dynamicFilterId)
StatisticsWriterNode(PlanNodeId id, PlanNode source, StatisticsWriterNode.WriteStatisticsTarget target, Symbol rowCountSymbol, boolean rowCountEnabled, StatisticAggregationsDescriptor<Symbol> descriptor)
TableDeleteNode(PlanNodeId id, TableHandle target, Symbol output)
TableExecuteNode(PlanNodeId id, PlanNode source, TableWriterNode.TableExecuteTarget target, Symbol rowCountSymbol, Symbol fragmentSymbol, List<Symbol> columns, List<String> columnNames, Optional<PartitioningScheme> partitioningScheme, Optional<PartitioningScheme> preferredPartitioningScheme)
TableFinishNode(PlanNodeId id, PlanNode source, TableWriterNode.WriterTarget target, Symbol rowCountSymbol, Optional<StatisticAggregations> statisticsAggregation, Optional<StatisticAggregationsDescriptor<Symbol>> statisticsAggregationDescriptor)
TableWriterNode(PlanNodeId id, PlanNode source, TableWriterNode.WriterTarget target, Symbol rowCountSymbol, Symbol fragmentSymbol, List<Symbol> columns, List<String> columnNames, Set<Symbol> notNullColumnSymbols, Optional<PartitioningScheme> partitioningScheme, Optional<PartitioningScheme> preferredPartitioningScheme, Optional<StatisticAggregations> statisticsAggregation, Optional<StatisticAggregationsDescriptor<Symbol>> statisticsAggregationDescriptor)
TopNRankingNode(PlanNodeId id, PlanNode source, WindowNode.Specification specification, TopNRankingNode.RankingType rankingType, Symbol rankingSymbol, int maxRankingPerPartition, boolean partial, Optional<Symbol> hashSymbol)
UpdateNode(PlanNodeId id, PlanNode source, TableWriterNode.UpdateTarget target, Symbol rowId, List<Symbol> columnValueAndRowIdSymbols, List<Symbol> outputs)

Constructor parameters in io.trino.sql.planner.plan with type arguments of type Symbol

Constructor	Description
Aggregation(ResolvedFunction resolvedFunction, List<Expression> arguments, boolean distinct, Optional<Symbol> filter, Optional<OrderingScheme> orderingScheme, Optional<Symbol> mask)
AggregationNode(PlanNodeId id, PlanNode source, Map<Symbol,AggregationNode.Aggregation> aggregations, AggregationNode.GroupingSetDescriptor groupingSets, List<Symbol> preGroupedSymbols, AggregationNode.Step step, Optional<Symbol> hashSymbol, Optional<Symbol> groupIdSymbol)
AggregationNode(PlanNodeId id, PlanNode source, Map<Symbol,AggregationNode.Aggregation> aggregations, AggregationNode.GroupingSetDescriptor groupingSets, List<Symbol> preGroupedSymbols, AggregationNode.Step step, Optional<Symbol> hashSymbol, Optional<Symbol> groupIdSymbol)
AggregationNode(PlanNodeId id, PlanNode source, Map<Symbol,AggregationNode.Aggregation> aggregations, AggregationNode.GroupingSetDescriptor groupingSets, List<Symbol> preGroupedSymbols, AggregationNode.Step step, Optional<Symbol> hashSymbol, Optional<Symbol> groupIdSymbol)
ApplyNode(PlanNodeId id, PlanNode input, PlanNode subquery, Assignments subqueryAssignments, List<Symbol> correlation, Node originSubquery)
Assignments(Map<Symbol,Expression> assignments)
CorrelatedJoinNode(PlanNodeId id, PlanNode input, PlanNode subquery, List<Symbol> correlation, CorrelatedJoinNode.Type type, Expression filter, Node originSubquery)
DeleteNode(PlanNodeId id, PlanNode source, TableWriterNode.DeleteTarget target, Symbol rowId, List<Symbol> outputs)
DistinctLimitNode(PlanNodeId id, PlanNode source, long limit, boolean partial, List<Symbol> distinctSymbols, Optional<Symbol> hashSymbol)
DistinctLimitNode(PlanNodeId id, PlanNode source, long limit, boolean partial, List<Symbol> distinctSymbols, Optional<Symbol> hashSymbol)
ExceptNode(PlanNodeId id, List<PlanNode> sources, com.google.common.collect.ListMultimap<Symbol,Symbol> outputToInputs, List<Symbol> outputs, boolean distinct)
ExceptNode(PlanNodeId id, List<PlanNode> sources, com.google.common.collect.ListMultimap<Symbol,Symbol> outputToInputs, List<Symbol> outputs, boolean distinct)
ExplainAnalyzeNode(PlanNodeId id, PlanNode source, Symbol outputSymbol, List<Symbol> actualOutputs, boolean verbose)
Frame(WindowFrame.Type type, FrameBound.Type startType, Optional<Symbol> startValue, Optional<Symbol> sortKeyCoercedForFrameStartComparison, FrameBound.Type endType, Optional<Symbol> endValue, Optional<Symbol> sortKeyCoercedForFrameEndComparison, Optional<Expression> originalStartValue, Optional<Expression> originalEndValue)
GroupIdNode(PlanNodeId id, PlanNode source, List<List<Symbol>> groupingSets, Map<Symbol,Symbol> groupingColumns, List<Symbol> aggregationArguments, Symbol groupIdSymbol)
GroupIdNode(PlanNodeId id, PlanNode source, List<List<Symbol>> groupingSets, Map<Symbol,Symbol> groupingColumns, List<Symbol> aggregationArguments, Symbol groupIdSymbol)
GroupIdNode(PlanNodeId id, PlanNode source, List<List<Symbol>> groupingSets, Map<Symbol,Symbol> groupingColumns, List<Symbol> aggregationArguments, Symbol groupIdSymbol)
GroupingSetDescriptor(List<Symbol> groupingKeys, int groupingSetCount, Set<Integer> globalGroupingSets)
IndexJoinNode(PlanNodeId id, IndexJoinNode.Type type, PlanNode probeSource, PlanNode indexSource, List<IndexJoinNode.EquiJoinClause> criteria, Optional<Symbol> probeHashSymbol, Optional<Symbol> indexHashSymbol)
IndexSourceNode(PlanNodeId id, IndexHandle indexHandle, TableHandle tableHandle, Set<Symbol> lookupSymbols, List<Symbol> outputSymbols, Map<Symbol,ColumnHandle> assignments)
IndexSourceNode(PlanNodeId id, IndexHandle indexHandle, TableHandle tableHandle, Set<Symbol> lookupSymbols, List<Symbol> outputSymbols, Map<Symbol,ColumnHandle> assignments)
IndexSourceNode(PlanNodeId id, IndexHandle indexHandle, TableHandle tableHandle, Set<Symbol> lookupSymbols, List<Symbol> outputSymbols, Map<Symbol,ColumnHandle> assignments)
IntersectNode(PlanNodeId id, List<PlanNode> sources, com.google.common.collect.ListMultimap<Symbol,Symbol> outputToInputs, List<Symbol> outputs, boolean distinct)
IntersectNode(PlanNodeId id, List<PlanNode> sources, com.google.common.collect.ListMultimap<Symbol,Symbol> outputToInputs, List<Symbol> outputs, boolean distinct)
JoinNode(PlanNodeId id, JoinNode.Type type, PlanNode left, PlanNode right, List<JoinNode.EquiJoinClause> criteria, List<Symbol> leftOutputSymbols, List<Symbol> rightOutputSymbols, boolean maySkipOutputDuplicates, Optional<Expression> filter, Optional<Symbol> leftHashSymbol, Optional<Symbol> rightHashSymbol, Optional<JoinNode.DistributionType> distributionType, Optional<Boolean> spillable, Map<DynamicFilterId,Symbol> dynamicFilters, Optional<PlanNodeStatsAndCostSummary> reorderJoinStatsAndCost)
LimitNode(PlanNodeId id, PlanNode source, long count, Optional<OrderingScheme> tiesResolvingScheme, boolean partial, List<Symbol> preSortedInputs)
Mapping(Symbol input, List<Symbol> outputs)
MarkDistinctNode(PlanNodeId id, PlanNode source, Symbol markerSymbol, List<Symbol> distinctSymbols, Optional<Symbol> hashSymbol)
MarkDistinctNode(PlanNodeId id, PlanNode source, Symbol markerSymbol, List<Symbol> distinctSymbols, Optional<Symbol> hashSymbol)
Parts(StatisticAggregations partialAggregation, StatisticAggregations finalAggregation, Map<Symbol,Symbol> mappings)
Parts(StatisticAggregations partialAggregation, StatisticAggregations finalAggregation, Map<Symbol,Symbol> mappings)
PatternRecognitionNode(PlanNodeId id, PlanNode source, WindowNode.Specification specification, Optional<Symbol> hashSymbol, Set<Symbol> prePartitionedInputs, int preSortedOrderPrefix, Map<Symbol,WindowNode.Function> windowFunctions, Map<Symbol,PatternRecognitionNode.Measure> measures, Optional<WindowNode.Frame> commonBaseFrame, PatternRecognitionRelation.RowsPerMatch rowsPerMatch, Optional<IrLabel> skipToLabel, SkipTo.Position skipToPosition, boolean initial, IrRowPattern pattern, Map<IrLabel,Set<IrLabel>> subsets, Map<IrLabel,LogicalIndexExtractor.ExpressionAndValuePointers> variableDefinitions)
PatternRecognitionNode(PlanNodeId id, PlanNode source, WindowNode.Specification specification, Optional<Symbol> hashSymbol, Set<Symbol> prePartitionedInputs, int preSortedOrderPrefix, Map<Symbol,WindowNode.Function> windowFunctions, Map<Symbol,PatternRecognitionNode.Measure> measures, Optional<WindowNode.Frame> commonBaseFrame, PatternRecognitionRelation.RowsPerMatch rowsPerMatch, Optional<IrLabel> skipToLabel, SkipTo.Position skipToPosition, boolean initial, IrRowPattern pattern, Map<IrLabel,Set<IrLabel>> subsets, Map<IrLabel,LogicalIndexExtractor.ExpressionAndValuePointers> variableDefinitions)
PatternRecognitionNode(PlanNodeId id, PlanNode source, WindowNode.Specification specification, Optional<Symbol> hashSymbol, Set<Symbol> prePartitionedInputs, int preSortedOrderPrefix, Map<Symbol,WindowNode.Function> windowFunctions, Map<Symbol,PatternRecognitionNode.Measure> measures, Optional<WindowNode.Frame> commonBaseFrame, PatternRecognitionRelation.RowsPerMatch rowsPerMatch, Optional<IrLabel> skipToLabel, SkipTo.Position skipToPosition, boolean initial, IrRowPattern pattern, Map<IrLabel,Set<IrLabel>> subsets, Map<IrLabel,LogicalIndexExtractor.ExpressionAndValuePointers> variableDefinitions)
RemoteSourceNode(PlanNodeId id, PlanFragmentId sourceFragmentId, List<Symbol> outputs, Optional<OrderingScheme> orderingScheme, ExchangeNode.Type exchangeType, RetryPolicy retryPolicy)
RowNumberNode(PlanNodeId id, PlanNode source, List<Symbol> partitionBy, boolean orderSensitive, Symbol rowNumberSymbol, Optional<Integer> maxRowCountPerPartition, Optional<Symbol> hashSymbol)
SemiJoinNode(PlanNodeId id, PlanNode source, PlanNode filteringSource, Symbol sourceJoinSymbol, Symbol filteringSourceJoinSymbol, Symbol semiJoinOutput, Optional<Symbol> sourceHashSymbol, Optional<Symbol> filteringSourceHashSymbol, Optional<SemiJoinNode.DistributionType> distributionType, Optional<DynamicFilterId> dynamicFilterId)
SetOperationNode(PlanNodeId id, List<PlanNode> sources, com.google.common.collect.ListMultimap<Symbol,Symbol> outputToInputs, List<Symbol> outputs)
SetOperationNode(PlanNodeId id, List<PlanNode> sources, com.google.common.collect.ListMultimap<Symbol,Symbol> outputToInputs, List<Symbol> outputs)
SpatialJoinNode(PlanNodeId id, SpatialJoinNode.Type type, PlanNode left, PlanNode right, List<Symbol> outputSymbols, Expression filter, Optional<Symbol> leftPartitionSymbol, Optional<Symbol> rightPartitionSymbol, Optional<String> kdbTree)
SpatialJoinNode(PlanNodeId id, SpatialJoinNode.Type type, PlanNode left, PlanNode right, List<Symbol> outputSymbols, Expression filter, Optional<Symbol> leftPartitionSymbol, Optional<Symbol> rightPartitionSymbol, Optional<String> kdbTree)
Specification(List<Symbol> partitionBy, Optional<OrderingScheme> orderingScheme)
StatisticAggregations(Map<Symbol,AggregationNode.Aggregation> aggregations, List<Symbol> groupingSymbols)
StatisticAggregations(Map<Symbol,AggregationNode.Aggregation> aggregations, List<Symbol> groupingSymbols)
StatisticsWriterNode(PlanNodeId id, PlanNode source, StatisticsWriterNode.WriteStatisticsTarget target, Symbol rowCountSymbol, boolean rowCountEnabled, StatisticAggregationsDescriptor<Symbol> descriptor)
TableExecuteNode(PlanNodeId id, PlanNode source, TableWriterNode.TableExecuteTarget target, Symbol rowCountSymbol, Symbol fragmentSymbol, List<Symbol> columns, List<String> columnNames, Optional<PartitioningScheme> partitioningScheme, Optional<PartitioningScheme> preferredPartitioningScheme)
TableScanNode(PlanNodeId id, TableHandle table, List<Symbol> outputs, Map<Symbol,ColumnHandle> assignments, boolean updateTarget, Optional<Boolean> useConnectorNodePartitioning)	Deprecated.
TableScanNode(PlanNodeId id, TableHandle table, List<Symbol> outputs, Map<Symbol,ColumnHandle> assignments, boolean updateTarget, Optional<Boolean> useConnectorNodePartitioning)	Deprecated.
TableScanNode(PlanNodeId id, TableHandle table, List<Symbol> outputs, Map<Symbol,ColumnHandle> assignments, TupleDomain<ColumnHandle> enforcedConstraint, Optional<PlanNodeStatsEstimate> statistics, boolean updateTarget, Optional<Boolean> useConnectorNodePartitioning)
TableScanNode(PlanNodeId id, TableHandle table, List<Symbol> outputs, Map<Symbol,ColumnHandle> assignments, TupleDomain<ColumnHandle> enforcedConstraint, Optional<PlanNodeStatsEstimate> statistics, boolean updateTarget, Optional<Boolean> useConnectorNodePartitioning)
TableWriterNode(PlanNodeId id, PlanNode source, TableWriterNode.WriterTarget target, Symbol rowCountSymbol, Symbol fragmentSymbol, List<Symbol> columns, List<String> columnNames, Set<Symbol> notNullColumnSymbols, Optional<PartitioningScheme> partitioningScheme, Optional<PartitioningScheme> preferredPartitioningScheme, Optional<StatisticAggregations> statisticsAggregation, Optional<StatisticAggregationsDescriptor<Symbol>> statisticsAggregationDescriptor)
TableWriterNode(PlanNodeId id, PlanNode source, TableWriterNode.WriterTarget target, Symbol rowCountSymbol, Symbol fragmentSymbol, List<Symbol> columns, List<String> columnNames, Set<Symbol> notNullColumnSymbols, Optional<PartitioningScheme> partitioningScheme, Optional<PartitioningScheme> preferredPartitioningScheme, Optional<StatisticAggregations> statisticsAggregation, Optional<StatisticAggregationsDescriptor<Symbol>> statisticsAggregationDescriptor)
TopNRankingNode(PlanNodeId id, PlanNode source, WindowNode.Specification specification, TopNRankingNode.RankingType rankingType, Symbol rankingSymbol, int maxRankingPerPartition, boolean partial, Optional<Symbol> hashSymbol)
UnionNode(PlanNodeId id, List<PlanNode> sources, com.google.common.collect.ListMultimap<Symbol,Symbol> outputToInputs, List<Symbol> outputs)
UnionNode(PlanNodeId id, List<PlanNode> sources, com.google.common.collect.ListMultimap<Symbol,Symbol> outputToInputs, List<Symbol> outputs)
UnnestNode(PlanNodeId id, PlanNode source, List<Symbol> replicateSymbols, List<UnnestNode.Mapping> mappings, Optional<Symbol> ordinalitySymbol, JoinNode.Type joinType, Optional<Expression> filter)
UnnestNode(PlanNodeId id, PlanNode source, List<Symbol> replicateSymbols, List<UnnestNode.Mapping> mappings, Optional<Symbol> ordinalitySymbol, JoinNode.Type joinType, Optional<Expression> filter)
UpdateNode(PlanNodeId id, PlanNode source, TableWriterNode.UpdateTarget target, Symbol rowId, List<Symbol> columnValueAndRowIdSymbols, List<Symbol> outputs)
ValuesNode(PlanNodeId id, List<Symbol> outputSymbols, int rowCount, Optional<List<Expression>> rows)
ValuesNode(PlanNodeId id, List<Symbol> outputSymbols, List<Expression> rows)	Constructor of ValuesNode with non-empty output symbols list
WindowNode(PlanNodeId id, PlanNode source, WindowNode.Specification specification, Map<Symbol,WindowNode.Function> windowFunctions, Optional<Symbol> hashSymbol, Set<Symbol> prePartitionedInputs, int preSortedOrderPrefix)
WindowNode(PlanNodeId id, PlanNode source, WindowNode.Specification specification, Map<Symbol,WindowNode.Function> windowFunctions, Optional<Symbol> hashSymbol, Set<Symbol> prePartitionedInputs, int preSortedOrderPrefix)
WindowNode(PlanNodeId id, PlanNode source, WindowNode.Specification specification, Map<Symbol,WindowNode.Function> windowFunctions, Optional<Symbol> hashSymbol, Set<Symbol> prePartitionedInputs, int preSortedOrderPrefix)

Uses of Symbol in io.trino.sql.planner.planprinter

Methods in io.trino.sql.planner.planprinter that return Symbol

Modifier and Type	Method	Description
Symbol	NodeRepresentation.TypedSymbol.getSymbol()

Method parameters in io.trino.sql.planner.planprinter with type arguments of type Symbol

Modifier and Type	Method	Description
static String	PlanPrinter.jsonFragmentPlan(PlanNode root, Map<Symbol,Type> symbols, Metadata metadata, Session session)

Constructors in io.trino.sql.planner.planprinter with parameters of type Symbol

Constructor	Description
TypedSymbol(Symbol symbol, String type)

Uses of Symbol in io.trino.sql.planner.rowpattern

Methods in io.trino.sql.planner.rowpattern that return Symbol

Modifier and Type	Method	Description
Symbol	AggregationValuePointer.getClassifierSymbol()
Symbol	ScalarValuePointer.getInputSymbol()
Symbol	AggregationValuePointer.getMatchNumberSymbol()

Methods in io.trino.sql.planner.rowpattern that return types with arguments of type Symbol

Modifier and Type	Method	Description
Set<Symbol>	LogicalIndexExtractor.ExpressionAndValuePointers.getClassifierSymbols()
List<Symbol>	AggregationValuePointer.getInputSymbols()
List<Symbol>	LogicalIndexExtractor.ExpressionAndValuePointers.getInputSymbols()
List<Symbol>	LogicalIndexExtractor.ExpressionAndValuePointers.getLayout()
Set<Symbol>	LogicalIndexExtractor.ExpressionAndValuePointers.getMatchNumberSymbols()

Methods in io.trino.sql.planner.rowpattern with parameters of type Symbol

Modifier and Type	Method	Description
static List<Expression>	AggregateArgumentsRewriter.rewrite(List<Expression> arguments, Symbol classifierSymbol, Symbol matchNumberSymbol)	This rewriter is dedicated for aggregation arguments in pattern recognition context.

Method parameters in io.trino.sql.planner.rowpattern with type arguments of type Symbol

Modifier and Type	Method	Description
static boolean	ExpressionAndValuePointersEquivalence.equivalent(LogicalIndexExtractor.ExpressionAndValuePointers left, LogicalIndexExtractor.ExpressionAndValuePointers right, BiFunction<Symbol,Symbol,Boolean> symbolEquivalence)
static boolean	ExpressionAndValuePointersEquivalence.equivalent(LogicalIndexExtractor.ExpressionAndValuePointers left, LogicalIndexExtractor.ExpressionAndValuePointers right, BiFunction<Symbol,Symbol,Boolean> symbolEquivalence)

Constructors in io.trino.sql.planner.rowpattern with parameters of type Symbol

Constructor	Description
AggregationValuePointer(ResolvedFunction function, AggregatedSetDescriptor setDescriptor, List<Expression> arguments, Symbol classifierSymbol, Symbol matchNumberSymbol)
ScalarValuePointer(LogicalIndexPointer logicalIndexPointer, Symbol inputSymbol)

Constructor parameters in io.trino.sql.planner.rowpattern with type arguments of type Symbol

Constructor	Description
ExpressionAndValuePointers(Expression expression, List<Symbol> layout, List<ValuePointer> valuePointers, Set<Symbol> classifierSymbols, Set<Symbol> matchNumberSymbols)
ExpressionAndValuePointers(Expression expression, List<Symbol> layout, List<ValuePointer> valuePointers, Set<Symbol> classifierSymbols, Set<Symbol> matchNumberSymbols)