接口的使用
org.apache.flink.table.dataformat.BaseRow

使用BaseRow的程序包

程序包	说明
org.apache.flink.table.dataformat
org.apache.flink.table.dataformat.util
org.apache.flink.table.runtime.context
org.apache.flink.table.runtime.generated
org.apache.flink.table.runtime.hashtable
org.apache.flink.table.runtime.keyselector
org.apache.flink.table.runtime.operators.aggregate
org.apache.flink.table.runtime.operators.deduplicate
org.apache.flink.table.runtime.operators.join
org.apache.flink.table.runtime.operators.join.lookup
org.apache.flink.table.runtime.operators.join.stream
org.apache.flink.table.runtime.operators.join.stream.state
org.apache.flink.table.runtime.operators.join.temporal
org.apache.flink.table.runtime.operators.match
org.apache.flink.table.runtime.operators.over
org.apache.flink.table.runtime.operators.over.frame
org.apache.flink.table.runtime.operators.rank
org.apache.flink.table.runtime.operators.sort
org.apache.flink.table.runtime.operators.values
org.apache.flink.table.runtime.operators.window
org.apache.flink.table.runtime.operators.window.assigners
org.apache.flink.table.runtime.operators.window.internal
org.apache.flink.table.runtime.operators.wmassigners
org.apache.flink.table.runtime.partitioner
org.apache.flink.table.runtime.typeutils
org.apache.flink.table.runtime.util

org.apache.flink.table.dataformat中BaseRow的使用

实现BaseRow的org.apache.flink.table.dataformat中的类

限定符和类型	类和说明
class	BinaryRow A special row which is backed by MemorySegment instead of Object.
class	BoxedWrapperRow A ObjectArrayRow that wrap primitive type to boxed object to reuse.
class	ColumnarRow Columnar row to support access to vector column data.
class	GenericRow A GenericRow can have arbitrary number of fields and contain a set of fields, which may all be different types.
class	JoinedRow Join two row to one row.
class	NestedRow Its memory storage structure is exactly the same with BinaryRow.
class	ObjectArrayRow An row implementation that uses an array of objects as the underlying storage.
class	UpdatableRow Wrap row to a updatable Generic Row.

返回BaseRow的org.apache.flink.table.dataformat中的方法

限定符和类型	方法和说明
BaseRow	UpdatableRow.getRow()
BaseRow	TypeGetterSetters.getRow(int ordinal, int numFields) Get row value, internal format is BaseRow.
BaseRow	NestedRow.getRow(int pos, int numFields)
BaseRow	ColumnarRow.getRow(int ordinal, int numFields)
BaseRow	UpdatableRow.getRow(int ordinal, int numFields)
BaseRow	BinaryArray.getRow(int pos, int numFields)
BaseRow	JoinedRow.getRow(int i, int numFields)
BaseRow	ObjectArrayRow.getRow(int ordinal, int numFields)
BaseRow	GenericArray.getRow(int pos, int numFields)
BaseRow	BinaryRow.getRow(int pos, int numFields)

参数类型为BaseRow的org.apache.flink.table.dataformat中的方法

限定符和类型	方法和说明
NestedRow	NestedRow.copy(BaseRow reuse)
boolean	ObjectArrayRow.equalsWithoutHeader(BaseRow o)
boolean	BinaryRow.equalsWithoutHeader(BaseRow o)
JoinedRow	JoinedRow.replace(BaseRow row1, BaseRow row2)
External	DataFormatConverters.DataFormatConverter.toExternal(BaseRow row, int column) Given a internalType row, convert the value at column `column` to its external(Java) equivalent.
static String	BinaryRow.toOriginString(BaseRow row, org.apache.flink.table.types.logical.LogicalType[] types)
void	AbstractBinaryWriter.writeRow(int pos, BaseRow input, BaseRowSerializer serializer)
void	BinaryWriter.writeRow(int pos, BaseRow value, BaseRowSerializer type)

参数类型为BaseRow的org.apache.flink.table.dataformat中的构造器

构造器和说明
JoinedRow(BaseRow row1, BaseRow row2)
UpdatableRow(BaseRow row, int arity)

org.apache.flink.table.dataformat.util中BaseRow的使用

返回BaseRow的org.apache.flink.table.dataformat.util中的方法

限定符和类型	方法和说明
static BaseRow	BaseRowUtil.setAccumulate(BaseRow baseRow)
static BaseRow	BaseRowUtil.setRetract(BaseRow baseRow)

参数类型为BaseRow的org.apache.flink.table.dataformat.util中的方法

限定符和类型	方法和说明
static boolean	BaseRowUtil.isAccumulateMsg(BaseRow baseRow)
static boolean	BaseRowUtil.isRetractMsg(BaseRow baseRow)
static BaseRow	BaseRowUtil.setAccumulate(BaseRow baseRow)
static BaseRow	BaseRowUtil.setRetract(BaseRow baseRow)
static GenericRow	BaseRowUtil.toGenericRow(BaseRow baseRow, org.apache.flink.table.types.logical.LogicalType[] types)

org.apache.flink.table.runtime.context中BaseRow的使用

返回BaseRow的org.apache.flink.table.runtime.context中的方法

限定符和类型	方法和说明
BaseRow	ExecutionContext.currentKey()
BaseRow	ExecutionContextImpl.currentKey()

参数类型为BaseRow的org.apache.flink.table.runtime.context中的方法

限定符和类型	方法和说明
void	ExecutionContext.setCurrentKey(BaseRow key) Sets current key.
void	ExecutionContextImpl.setCurrentKey(BaseRow key)

org.apache.flink.table.runtime.generated中BaseRow的使用

类型参数类型为BaseRow的org.apache.flink.table.runtime.generated中的类

限定符和类型	接口和说明
interface	Projection<IN extends BaseRow,OUT extends BaseRow> Interface for code generated projection, which will map a BaseRow to another one.
interface	Projection<IN extends BaseRow,OUT extends BaseRow> Interface for code generated projection, which will map a BaseRow to another one.

返回BaseRow的org.apache.flink.table.runtime.generated中的方法

限定符和类型	方法和说明
BaseRow	NamespaceAggsHandleFunctionBase.createAccumulators() Initializes the accumulators and save them to a accumulators row.
BaseRow	AggsHandleFunctionBase.createAccumulators() Initializes the accumulators and save them to a accumulators row.
BaseRow	NamespaceAggsHandleFunctionBase.getAccumulators() Gets the current accumulators (saved in a row) which contains the current aggregated results.
BaseRow	AggsHandleFunctionBase.getAccumulators() Gets the current accumulators (saved in a row) which contains the current aggregated results.
BaseRow	AggsHandleFunction.getValue() Gets the result of the aggregation from the current accumulators.
BaseRow	NamespaceAggsHandleFunction.getValue(N namespace) Gets the result of the aggregation from the current accumulators and namespace properties (like window start).

参数类型为BaseRow的org.apache.flink.table.runtime.generated中的方法

限定符和类型	方法和说明
void	NamespaceAggsHandleFunctionBase.accumulate(BaseRow inputRow) Accumulates the input values to the accumulators.
void	AggsHandleFunctionBase.accumulate(BaseRow input) Accumulates the input values to the accumulators.
boolean	JoinCondition.apply(BaseRow in1, BaseRow in2)
int	RecordComparator.compare(BaseRow o1, BaseRow o2)
abstract Long	WatermarkGenerator.currentWatermark(BaseRow row) Returns the watermark for the current row or null if no watermark should be generated.
void	TableAggsHandleFunction.emitValue(org.apache.flink.util.Collector<BaseRow> out, BaseRow currentKey, boolean isRetract) Emit the result of the table aggregation through the collector.
void	NamespaceTableAggsHandleFunction.emitValue(N namespace, BaseRow key, org.apache.flink.util.Collector<BaseRow> out) Emits the result of the aggregation from the current accumulators and namespace properties (like window start).
boolean	RecordEqualiser.equals(BaseRow row1, BaseRow row2) Returns true if the rows are equal to each other and false otherwise.
boolean	RecordEqualiser.equalsWithoutHeader(BaseRow row1, BaseRow row2) Returns true if the rows are equal to each other without header compare and false otherwise.
int	HashFunction.hashCode(BaseRow row)
void	AggsHandleFunctionBase.merge(BaseRow accumulators) Merges the other accumulators into current accumulators.
void	NamespaceAggsHandleFunctionBase.merge(N namespace, BaseRow otherAcc) Merges the other accumulators into current accumulators.
void	NormalizedKeyComputer.putKey(BaseRow record, org.apache.flink.core.memory.MemorySegment target, int offset) Writes a normalized key for the given record into the target MemorySegment.
void	NamespaceAggsHandleFunctionBase.retract(BaseRow inputRow) Retracts the input values from the accumulators.
void	AggsHandleFunctionBase.retract(BaseRow input) Retracts the input values from the accumulators.
void	AggsHandleFunctionBase.setAccumulators(BaseRow accumulators) Set the current accumulators (saved in a row) which contains the current aggregated results.
void	NamespaceAggsHandleFunctionBase.setAccumulators(N namespace, BaseRow accumulators) Set the current accumulators (saved in a row) which contains the current aggregated results.

类型变量类型为BaseRow的org.apache.flink.table.runtime.generated中的方法参数

限定符和类型	方法和说明
void	TableAggsHandleFunction.emitValue(org.apache.flink.util.Collector<BaseRow> out, BaseRow currentKey, boolean isRetract) Emit the result of the table aggregation through the collector.
void	NamespaceTableAggsHandleFunction.emitValue(N namespace, BaseRow key, org.apache.flink.util.Collector<BaseRow> out) Emits the result of the aggregation from the current accumulators and namespace properties (like window start).

org.apache.flink.table.runtime.hashtable中BaseRow的使用

类型参数类型为BaseRow的org.apache.flink.table.runtime.hashtable中的类

限定符和类型	类和说明
class	WrappedRowIterator<T extends BaseRow> Wrap MutableObjectIterator to java RowIterator.

返回BaseRow的org.apache.flink.table.runtime.hashtable中的方法

限定符和类型	方法和说明
BaseRow	ProbeIterator.current()
BaseRow	BinaryHashTable.getCurrentProbeRow()
BaseRow	LongHybridHashTable.getCurrentProbeRow()

参数类型为BaseRow的org.apache.flink.table.runtime.hashtable中的方法

限定符和类型	方法和说明
abstract long	LongHybridHashTable.getBuildLongKey(BaseRow row) For code gen get build side long key.
abstract long	LongHybridHashTable.getProbeLongKey(BaseRow row) For code gen get probe side long key.
abstract BinaryRow	LongHybridHashTable.probeToBinary(BaseRow row) For code gen probe side to BinaryRow.
void	BinaryHashTable.putBuildRow(BaseRow row) Put a build side row to hash table.
void	ProbeIterator.setInstance(BaseRow instance)
boolean	BinaryHashTable.tryProbe(BaseRow record) Find matched build side rows for a probe row.
boolean	LongHybridHashTable.tryProbe(BaseRow record)

类型变量类型为BaseRow的org.apache.flink.table.runtime.hashtable中的构造器参数

构造器和说明
BinaryHashTable(org.apache.flink.configuration.Configuration conf, Object owner, AbstractRowSerializer buildSideSerializer, AbstractRowSerializer probeSideSerializer, Projection<BaseRow,BinaryRow> buildSideProjection, Projection<BaseRow,BinaryRow> probeSideProjection, org.apache.flink.runtime.memory.MemoryManager memManager, long reservedMemorySize, org.apache.flink.runtime.io.disk.iomanager.IOManager ioManager, int avgRecordLen, long buildRowCount, boolean useBloomFilters, HashJoinType type, JoinCondition condFunc, boolean reverseJoin, boolean[] filterNulls, boolean tryDistinctBuildRow)
BinaryHashTable(org.apache.flink.configuration.Configuration conf, Object owner, AbstractRowSerializer buildSideSerializer, AbstractRowSerializer probeSideSerializer, Projection<BaseRow,BinaryRow> buildSideProjection, Projection<BaseRow,BinaryRow> probeSideProjection, org.apache.flink.runtime.memory.MemoryManager memManager, long reservedMemorySize, org.apache.flink.runtime.io.disk.iomanager.IOManager ioManager, int avgRecordLen, long buildRowCount, boolean useBloomFilters, HashJoinType type, JoinCondition condFunc, boolean reverseJoin, boolean[] filterNulls, boolean tryDistinctBuildRow)

org.apache.flink.table.runtime.keyselector中BaseRow的使用

返回BaseRow的org.apache.flink.table.runtime.keyselector中的方法

限定符和类型	方法和说明
BaseRow	BinaryRowKeySelector.getKey(BaseRow value)
BaseRow	NullBinaryRowKeySelector.getKey(BaseRow value)

参数类型为BaseRow的org.apache.flink.table.runtime.keyselector中的方法

限定符和类型	方法和说明
BaseRow	BinaryRowKeySelector.getKey(BaseRow value)
BaseRow	NullBinaryRowKeySelector.getKey(BaseRow value)

org.apache.flink.table.runtime.operators.aggregate中BaseRow的使用

返回BaseRow的org.apache.flink.table.runtime.operators.aggregate中的方法

限定符和类型	方法和说明
BaseRow	MiniBatchGlobalGroupAggFunction.addInput(BaseRow previousAcc, BaseRow input) The previousAcc is accumulator, but input is a row in <key, accumulator> schema, the specific generated MiniBatchGlobalGroupAggFunction.localAgg will project the input to accumulator in merge method.
BaseRow	MiniBatchIncrementalGroupAggFunction.addInput(BaseRow previousAcc, BaseRow input)
BaseRow	MiniBatchLocalGroupAggFunction.addInput(BaseRow previousAcc, BaseRow input)

返回变量类型为BaseRow的类型的org.apache.flink.table.runtime.operators.aggregate中的方法

限定符和类型	方法和说明
List<BaseRow>	MiniBatchGroupAggFunction.addInput(List<BaseRow> value, BaseRow input)

参数类型为BaseRow的org.apache.flink.table.runtime.operators.aggregate中的方法

限定符和类型	方法和说明
BaseRow	MiniBatchGlobalGroupAggFunction.addInput(BaseRow previousAcc, BaseRow input) The previousAcc is accumulator, but input is a row in <key, accumulator> schema, the specific generated MiniBatchGlobalGroupAggFunction.localAgg will project the input to accumulator in merge method.
BaseRow	MiniBatchIncrementalGroupAggFunction.addInput(BaseRow previousAcc, BaseRow input)
BaseRow	MiniBatchLocalGroupAggFunction.addInput(BaseRow previousAcc, BaseRow input)
List<BaseRow>	MiniBatchGroupAggFunction.addInput(List<BaseRow> value, BaseRow input)
void	GroupTableAggFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)
void	GroupAggFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)

类型变量类型为BaseRow的org.apache.flink.table.runtime.operators.aggregate中的方法参数

限定符和类型	方法和说明
List<BaseRow>	MiniBatchGroupAggFunction.addInput(List<BaseRow> value, BaseRow input)
void	MiniBatchGlobalGroupAggFunction.finishBundle(Map<BaseRow,BaseRow> buffer, org.apache.flink.util.Collector<BaseRow> out)
void	MiniBatchGlobalGroupAggFunction.finishBundle(Map<BaseRow,BaseRow> buffer, org.apache.flink.util.Collector<BaseRow> out)
void	MiniBatchGlobalGroupAggFunction.finishBundle(Map<BaseRow,BaseRow> buffer, org.apache.flink.util.Collector<BaseRow> out)
void	MiniBatchIncrementalGroupAggFunction.finishBundle(Map<BaseRow,BaseRow> buffer, org.apache.flink.util.Collector<BaseRow> out)
void	MiniBatchIncrementalGroupAggFunction.finishBundle(Map<BaseRow,BaseRow> buffer, org.apache.flink.util.Collector<BaseRow> out)
void	MiniBatchIncrementalGroupAggFunction.finishBundle(Map<BaseRow,BaseRow> buffer, org.apache.flink.util.Collector<BaseRow> out)
void	MiniBatchLocalGroupAggFunction.finishBundle(Map<BaseRow,BaseRow> buffer, org.apache.flink.util.Collector<BaseRow> out)
void	MiniBatchLocalGroupAggFunction.finishBundle(Map<BaseRow,BaseRow> buffer, org.apache.flink.util.Collector<BaseRow> out)
void	MiniBatchLocalGroupAggFunction.finishBundle(Map<BaseRow,BaseRow> buffer, org.apache.flink.util.Collector<BaseRow> out)
void	MiniBatchGroupAggFunction.finishBundle(Map<BaseRow,List<BaseRow>> buffer, org.apache.flink.util.Collector<BaseRow> out)
void	MiniBatchGroupAggFunction.finishBundle(Map<BaseRow,List<BaseRow>> buffer, org.apache.flink.util.Collector<BaseRow> out)
void	MiniBatchGroupAggFunction.finishBundle(Map<BaseRow,List<BaseRow>> buffer, org.apache.flink.util.Collector<BaseRow> out)
void	GroupTableAggFunction.onTimer(long timestamp, org.apache.flink.streaming.api.functions.KeyedProcessFunction.OnTimerContext ctx, org.apache.flink.util.Collector<BaseRow> out)
void	GroupAggFunction.onTimer(long timestamp, org.apache.flink.streaming.api.functions.KeyedProcessFunction.OnTimerContext ctx, org.apache.flink.util.Collector<BaseRow> out)
void	GroupTableAggFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)
void	GroupAggFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)

类型变量类型为BaseRow的org.apache.flink.table.runtime.operators.aggregate中的构造器参数

构造器和说明
MiniBatchIncrementalGroupAggFunction(GeneratedAggsHandleFunction genPartialAggsHandler, GeneratedAggsHandleFunction genFinalAggsHandler, org.apache.flink.api.java.functions.KeySelector<BaseRow,BaseRow> finalKeySelector)
MiniBatchIncrementalGroupAggFunction(GeneratedAggsHandleFunction genPartialAggsHandler, GeneratedAggsHandleFunction genFinalAggsHandler, org.apache.flink.api.java.functions.KeySelector<BaseRow,BaseRow> finalKeySelector)

org.apache.flink.table.runtime.operators.deduplicate中BaseRow的使用

返回BaseRow的org.apache.flink.table.runtime.operators.deduplicate中的方法

限定符和类型	方法和说明
BaseRow	MiniBatchDeduplicateKeepLastRowFunction.addInput(BaseRow value, BaseRow input)
BaseRow	MiniBatchDeduplicateKeepFirstRowFunction.addInput(BaseRow value, BaseRow input)

参数类型为BaseRow的org.apache.flink.table.runtime.operators.deduplicate中的方法

限定符和类型	方法和说明
BaseRow	MiniBatchDeduplicateKeepLastRowFunction.addInput(BaseRow value, BaseRow input)
BaseRow	MiniBatchDeduplicateKeepFirstRowFunction.addInput(BaseRow value, BaseRow input)
void	DeduplicateKeepFirstRowFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)
void	DeduplicateKeepLastRowFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)

类型变量类型为BaseRow的org.apache.flink.table.runtime.operators.deduplicate中的方法参数

限定符和类型	方法和说明
void	MiniBatchDeduplicateKeepLastRowFunction.finishBundle(Map<BaseRow,BaseRow> buffer, org.apache.flink.util.Collector<BaseRow> out)
void	MiniBatchDeduplicateKeepLastRowFunction.finishBundle(Map<BaseRow,BaseRow> buffer, org.apache.flink.util.Collector<BaseRow> out)
void	MiniBatchDeduplicateKeepLastRowFunction.finishBundle(Map<BaseRow,BaseRow> buffer, org.apache.flink.util.Collector<BaseRow> out)
void	MiniBatchDeduplicateKeepFirstRowFunction.finishBundle(Map<BaseRow,BaseRow> buffer, org.apache.flink.util.Collector<BaseRow> out)
void	MiniBatchDeduplicateKeepFirstRowFunction.finishBundle(Map<BaseRow,BaseRow> buffer, org.apache.flink.util.Collector<BaseRow> out)
void	MiniBatchDeduplicateKeepFirstRowFunction.finishBundle(Map<BaseRow,BaseRow> buffer, org.apache.flink.util.Collector<BaseRow> out)
void	DeduplicateKeepFirstRowFunction.onTimer(long timestamp, org.apache.flink.streaming.api.functions.KeyedProcessFunction.OnTimerContext ctx, org.apache.flink.util.Collector<BaseRow> out)
void	DeduplicateKeepLastRowFunction.onTimer(long timestamp, org.apache.flink.streaming.api.functions.KeyedProcessFunction.OnTimerContext ctx, org.apache.flink.util.Collector<BaseRow> out)
void	DeduplicateKeepFirstRowFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)
void	DeduplicateKeepLastRowFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)

类型变量类型为BaseRow的org.apache.flink.table.runtime.operators.deduplicate中的构造器参数

构造器和说明
MiniBatchDeduplicateKeepFirstRowFunction(org.apache.flink.api.common.typeutils.TypeSerializer<BaseRow> typeSerializer)
MiniBatchDeduplicateKeepLastRowFunction(BaseRowTypeInfo rowTypeInfo, boolean generateRetraction, org.apache.flink.api.common.typeutils.TypeSerializer<BaseRow> typeSerializer)

org.apache.flink.table.runtime.operators.join中BaseRow的使用

返回BaseRow的org.apache.flink.table.runtime.operators.join中的方法

限定符和类型	方法和说明
BaseRow	SortMergeJoinIterator.getProbeRow()
BaseRow	OuterJoinPaddingUtil.padLeft(BaseRow leftRow) Returns a padding result with the given left row.
BaseRow	OuterJoinPaddingUtil.padRight(BaseRow rightRow) Returns a padding result with the given right row.

参数类型为BaseRow的org.apache.flink.table.runtime.operators.join中的方法

限定符和类型	方法和说明
abstract void	HashJoinOperator.join(RowIterator<BinaryRow> buildIter, BaseRow probeRow)
BaseRow	OuterJoinPaddingUtil.padLeft(BaseRow leftRow) Returns a padding result with the given left row.
BaseRow	OuterJoinPaddingUtil.padRight(BaseRow rightRow) Returns a padding result with the given right row.

类型变量类型为BaseRow的org.apache.flink.table.runtime.operators.join中的方法参数

限定符和类型	方法和说明
void	SortMergeJoinOperator.processElement1(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)
void	HashJoinOperator.processElement1(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)
void	SortMergeJoinOperator.processElement2(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)
void	HashJoinOperator.processElement2(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)

类型变量类型为BaseRow的org.apache.flink.table.runtime.operators.join中的构造器参数

构造器和说明
ProcTimeBoundedStreamJoin(FlinkJoinType joinType, long leftLowerBound, long leftUpperBound, BaseRowTypeInfo leftType, BaseRowTypeInfo rightType, GeneratedFunction<org.apache.flink.api.common.functions.FlatJoinFunction<BaseRow,BaseRow,BaseRow>> genJoinFunc)
ProcTimeBoundedStreamJoin(FlinkJoinType joinType, long leftLowerBound, long leftUpperBound, BaseRowTypeInfo leftType, BaseRowTypeInfo rightType, GeneratedFunction<org.apache.flink.api.common.functions.FlatJoinFunction<BaseRow,BaseRow,BaseRow>> genJoinFunc)
ProcTimeBoundedStreamJoin(FlinkJoinType joinType, long leftLowerBound, long leftUpperBound, BaseRowTypeInfo leftType, BaseRowTypeInfo rightType, GeneratedFunction<org.apache.flink.api.common.functions.FlatJoinFunction<BaseRow,BaseRow,BaseRow>> genJoinFunc)
RowTimeBoundedStreamJoin(FlinkJoinType joinType, long leftLowerBound, long leftUpperBound, long allowedLateness, BaseRowTypeInfo leftType, BaseRowTypeInfo rightType, GeneratedFunction<org.apache.flink.api.common.functions.FlatJoinFunction<BaseRow,BaseRow,BaseRow>> genJoinFunc, int leftTimeIdx, int rightTimeIdx)
RowTimeBoundedStreamJoin(FlinkJoinType joinType, long leftLowerBound, long leftUpperBound, long allowedLateness, BaseRowTypeInfo leftType, BaseRowTypeInfo rightType, GeneratedFunction<org.apache.flink.api.common.functions.FlatJoinFunction<BaseRow,BaseRow,BaseRow>> genJoinFunc, int leftTimeIdx, int rightTimeIdx)
RowTimeBoundedStreamJoin(FlinkJoinType joinType, long leftLowerBound, long leftUpperBound, long allowedLateness, BaseRowTypeInfo leftType, BaseRowTypeInfo rightType, GeneratedFunction<org.apache.flink.api.common.functions.FlatJoinFunction<BaseRow,BaseRow,BaseRow>> genJoinFunc, int leftTimeIdx, int rightTimeIdx)
SortMergeFullOuterJoinIterator(BinaryRowSerializer serializer1, BinaryRowSerializer serializer2, Projection<BaseRow,BinaryRow> projection1, Projection<BaseRow,BinaryRow> projection2, RecordComparator keyComparator, org.apache.flink.util.MutableObjectIterator<BinaryRow> iterator1, org.apache.flink.util.MutableObjectIterator<BinaryRow> iterator2, ResettableExternalBuffer buffer1, ResettableExternalBuffer buffer2, boolean[] filterNulls)
SortMergeFullOuterJoinIterator(BinaryRowSerializer serializer1, BinaryRowSerializer serializer2, Projection<BaseRow,BinaryRow> projection1, Projection<BaseRow,BinaryRow> projection2, RecordComparator keyComparator, org.apache.flink.util.MutableObjectIterator<BinaryRow> iterator1, org.apache.flink.util.MutableObjectIterator<BinaryRow> iterator2, ResettableExternalBuffer buffer1, ResettableExternalBuffer buffer2, boolean[] filterNulls)
SortMergeInnerJoinIterator(BinaryRowSerializer probeSerializer, BinaryRowSerializer bufferedSerializer, Projection probeProjection, Projection bufferedProjection, RecordComparator keyComparator, org.apache.flink.util.MutableObjectIterator<BaseRow> probeIterator, org.apache.flink.util.MutableObjectIterator<BinaryRow> bufferedIterator, ResettableExternalBuffer buffer, boolean[] filterNullKeys)
SortMergeJoinIterator(BinaryRowSerializer probeSerializer, BinaryRowSerializer bufferedSerializer, Projection<BaseRow,BinaryRow> probeProjection, Projection<BaseRow,BinaryRow> bufferedProjection, RecordComparator keyComparator, org.apache.flink.util.MutableObjectIterator<BaseRow> probeIterator, org.apache.flink.util.MutableObjectIterator<BinaryRow> bufferedIterator, ResettableExternalBuffer buffer, boolean[] filterNulls)
SortMergeJoinIterator(BinaryRowSerializer probeSerializer, BinaryRowSerializer bufferedSerializer, Projection<BaseRow,BinaryRow> probeProjection, Projection<BaseRow,BinaryRow> bufferedProjection, RecordComparator keyComparator, org.apache.flink.util.MutableObjectIterator<BaseRow> probeIterator, org.apache.flink.util.MutableObjectIterator<BinaryRow> bufferedIterator, ResettableExternalBuffer buffer, boolean[] filterNulls)
SortMergeJoinIterator(BinaryRowSerializer probeSerializer, BinaryRowSerializer bufferedSerializer, Projection<BaseRow,BinaryRow> probeProjection, Projection<BaseRow,BinaryRow> bufferedProjection, RecordComparator keyComparator, org.apache.flink.util.MutableObjectIterator<BaseRow> probeIterator, org.apache.flink.util.MutableObjectIterator<BinaryRow> bufferedIterator, ResettableExternalBuffer buffer, boolean[] filterNulls)
SortMergeOneSideOuterJoinIterator(BinaryRowSerializer probeSerializer, BinaryRowSerializer bufferedSerializer, Projection<BaseRow,BinaryRow> probeProjection, Projection<BaseRow,BinaryRow> bufferedProjection, RecordComparator keyComparator, org.apache.flink.util.MutableObjectIterator<BaseRow> probeIterator, org.apache.flink.util.MutableObjectIterator<BinaryRow> bufferedIterator, ResettableExternalBuffer buffer, boolean[] filterNullKeys)
SortMergeOneSideOuterJoinIterator(BinaryRowSerializer probeSerializer, BinaryRowSerializer bufferedSerializer, Projection<BaseRow,BinaryRow> probeProjection, Projection<BaseRow,BinaryRow> bufferedProjection, RecordComparator keyComparator, org.apache.flink.util.MutableObjectIterator<BaseRow> probeIterator, org.apache.flink.util.MutableObjectIterator<BinaryRow> bufferedIterator, ResettableExternalBuffer buffer, boolean[] filterNullKeys)
SortMergeOneSideOuterJoinIterator(BinaryRowSerializer probeSerializer, BinaryRowSerializer bufferedSerializer, Projection<BaseRow,BinaryRow> probeProjection, Projection<BaseRow,BinaryRow> bufferedProjection, RecordComparator keyComparator, org.apache.flink.util.MutableObjectIterator<BaseRow> probeIterator, org.apache.flink.util.MutableObjectIterator<BinaryRow> bufferedIterator, ResettableExternalBuffer buffer, boolean[] filterNullKeys)

org.apache.flink.table.runtime.operators.join.lookup中BaseRow的使用

类型参数类型为BaseRow的org.apache.flink.table.runtime.operators.join.lookup中的字段

限定符和类型	字段和说明
protected TableFunctionCollector<BaseRow>	LookupJoinRunner.collector

返回变量类型为BaseRow的类型的org.apache.flink.table.runtime.operators.join.lookup中的方法

限定符和类型	方法和说明
TableFunctionResultFuture<BaseRow>	AsyncLookupJoinRunner.createFetcherResultFuture(org.apache.flink.configuration.Configuration parameters)
TableFunctionResultFuture<BaseRow>	AsyncLookupJoinWithCalcRunner.createFetcherResultFuture(org.apache.flink.configuration.Configuration parameters)
org.apache.flink.util.Collector<BaseRow>	LookupJoinWithCalcRunner.getFetcherCollector()
org.apache.flink.util.Collector<BaseRow>	LookupJoinRunner.getFetcherCollector()

参数类型为BaseRow的org.apache.flink.table.runtime.operators.join.lookup中的方法

限定符和类型	方法和说明
void	AsyncLookupJoinRunner.asyncInvoke(BaseRow input, org.apache.flink.streaming.api.functions.async.ResultFuture<BaseRow> resultFuture)
void	LookupJoinRunner.processElement(BaseRow in, org.apache.flink.streaming.api.functions.ProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)

类型变量类型为BaseRow的org.apache.flink.table.runtime.operators.join.lookup中的方法参数

限定符和类型	方法和说明
void	AsyncLookupJoinRunner.asyncInvoke(BaseRow input, org.apache.flink.streaming.api.functions.async.ResultFuture<BaseRow> resultFuture)
void	LookupJoinRunner.processElement(BaseRow in, org.apache.flink.streaming.api.functions.ProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)

类型变量类型为BaseRow的org.apache.flink.table.runtime.operators.join.lookup中的构造器参数

构造器和说明
AsyncLookupJoinRunner(GeneratedFunction<org.apache.flink.streaming.api.functions.async.AsyncFunction<BaseRow,Object>> generatedFetcher, GeneratedResultFuture<TableFunctionResultFuture<BaseRow>> generatedResultFuture, org.apache.flink.api.common.typeinfo.TypeInformation<?> fetcherReturnType, BaseRowTypeInfo rightRowTypeInfo, boolean isLeftOuterJoin, int asyncBufferCapacity)
AsyncLookupJoinRunner(GeneratedFunction<org.apache.flink.streaming.api.functions.async.AsyncFunction<BaseRow,Object>> generatedFetcher, GeneratedResultFuture<TableFunctionResultFuture<BaseRow>> generatedResultFuture, org.apache.flink.api.common.typeinfo.TypeInformation<?> fetcherReturnType, BaseRowTypeInfo rightRowTypeInfo, boolean isLeftOuterJoin, int asyncBufferCapacity)
AsyncLookupJoinWithCalcRunner(GeneratedFunction<org.apache.flink.streaming.api.functions.async.AsyncFunction<BaseRow,Object>> generatedFetcher, GeneratedFunction<org.apache.flink.api.common.functions.FlatMapFunction<BaseRow,BaseRow>> generatedCalc, GeneratedResultFuture<TableFunctionResultFuture<BaseRow>> generatedResultFuture, org.apache.flink.api.common.typeinfo.TypeInformation<?> fetcherReturnType, BaseRowTypeInfo rightRowTypeInfo, boolean isLeftOuterJoin, int asyncBufferCapacity)
AsyncLookupJoinWithCalcRunner(GeneratedFunction<org.apache.flink.streaming.api.functions.async.AsyncFunction<BaseRow,Object>> generatedFetcher, GeneratedFunction<org.apache.flink.api.common.functions.FlatMapFunction<BaseRow,BaseRow>> generatedCalc, GeneratedResultFuture<TableFunctionResultFuture<BaseRow>> generatedResultFuture, org.apache.flink.api.common.typeinfo.TypeInformation<?> fetcherReturnType, BaseRowTypeInfo rightRowTypeInfo, boolean isLeftOuterJoin, int asyncBufferCapacity)
AsyncLookupJoinWithCalcRunner(GeneratedFunction<org.apache.flink.streaming.api.functions.async.AsyncFunction<BaseRow,Object>> generatedFetcher, GeneratedFunction<org.apache.flink.api.common.functions.FlatMapFunction<BaseRow,BaseRow>> generatedCalc, GeneratedResultFuture<TableFunctionResultFuture<BaseRow>> generatedResultFuture, org.apache.flink.api.common.typeinfo.TypeInformation<?> fetcherReturnType, BaseRowTypeInfo rightRowTypeInfo, boolean isLeftOuterJoin, int asyncBufferCapacity)
AsyncLookupJoinWithCalcRunner(GeneratedFunction<org.apache.flink.streaming.api.functions.async.AsyncFunction<BaseRow,Object>> generatedFetcher, GeneratedFunction<org.apache.flink.api.common.functions.FlatMapFunction<BaseRow,BaseRow>> generatedCalc, GeneratedResultFuture<TableFunctionResultFuture<BaseRow>> generatedResultFuture, org.apache.flink.api.common.typeinfo.TypeInformation<?> fetcherReturnType, BaseRowTypeInfo rightRowTypeInfo, boolean isLeftOuterJoin, int asyncBufferCapacity)
LookupJoinRunner(GeneratedFunction<org.apache.flink.api.common.functions.FlatMapFunction<BaseRow,BaseRow>> generatedFetcher, GeneratedCollector<TableFunctionCollector<BaseRow>> generatedCollector, boolean isLeftOuterJoin, int tableFieldsCount)
LookupJoinRunner(GeneratedFunction<org.apache.flink.api.common.functions.FlatMapFunction<BaseRow,BaseRow>> generatedFetcher, GeneratedCollector<TableFunctionCollector<BaseRow>> generatedCollector, boolean isLeftOuterJoin, int tableFieldsCount)
LookupJoinRunner(GeneratedFunction<org.apache.flink.api.common.functions.FlatMapFunction<BaseRow,BaseRow>> generatedFetcher, GeneratedCollector<TableFunctionCollector<BaseRow>> generatedCollector, boolean isLeftOuterJoin, int tableFieldsCount)
LookupJoinWithCalcRunner(GeneratedFunction<org.apache.flink.api.common.functions.FlatMapFunction<BaseRow,BaseRow>> generatedFetcher, GeneratedFunction<org.apache.flink.api.common.functions.FlatMapFunction<BaseRow,BaseRow>> generatedCalc, GeneratedCollector<TableFunctionCollector<BaseRow>> generatedCollector, boolean isLeftOuterJoin, int tableFieldsCount)
LookupJoinWithCalcRunner(GeneratedFunction<org.apache.flink.api.common.functions.FlatMapFunction<BaseRow,BaseRow>> generatedFetcher, GeneratedFunction<org.apache.flink.api.common.functions.FlatMapFunction<BaseRow,BaseRow>> generatedCalc, GeneratedCollector<TableFunctionCollector<BaseRow>> generatedCollector, boolean isLeftOuterJoin, int tableFieldsCount)
LookupJoinWithCalcRunner(GeneratedFunction<org.apache.flink.api.common.functions.FlatMapFunction<BaseRow,BaseRow>> generatedFetcher, GeneratedFunction<org.apache.flink.api.common.functions.FlatMapFunction<BaseRow,BaseRow>> generatedCalc, GeneratedCollector<TableFunctionCollector<BaseRow>> generatedCollector, boolean isLeftOuterJoin, int tableFieldsCount)
LookupJoinWithCalcRunner(GeneratedFunction<org.apache.flink.api.common.functions.FlatMapFunction<BaseRow,BaseRow>> generatedFetcher, GeneratedFunction<org.apache.flink.api.common.functions.FlatMapFunction<BaseRow,BaseRow>> generatedCalc, GeneratedCollector<TableFunctionCollector<BaseRow>> generatedCollector, boolean isLeftOuterJoin, int tableFieldsCount)
LookupJoinWithCalcRunner(GeneratedFunction<org.apache.flink.api.common.functions.FlatMapFunction<BaseRow,BaseRow>> generatedFetcher, GeneratedFunction<org.apache.flink.api.common.functions.FlatMapFunction<BaseRow,BaseRow>> generatedCalc, GeneratedCollector<TableFunctionCollector<BaseRow>> generatedCollector, boolean isLeftOuterJoin, int tableFieldsCount)

org.apache.flink.table.runtime.operators.join.stream中BaseRow的使用

声明为BaseRow的org.apache.flink.table.runtime.operators.join.stream中的字段

限定符和类型	字段和说明
BaseRow	AbstractStreamingJoinOperator.OuterRecord.record

类型参数类型为BaseRow的org.apache.flink.table.runtime.operators.join.stream中的字段

限定符和类型	字段和说明
protected org.apache.flink.streaming.api.operators.TimestampedCollector<BaseRow>	AbstractStreamingJoinOperator.collector

返回变量类型为BaseRow的类型的org.apache.flink.table.runtime.operators.join.stream中的方法

限定符和类型	方法和说明
Iterable<BaseRow>	AbstractStreamingJoinOperator.AssociatedRecords.getRecords() Gets the iterable of records.

参数类型为BaseRow的org.apache.flink.table.runtime.operators.join.stream中的方法

限定符和类型	方法和说明
static AbstractStreamingJoinOperator.AssociatedRecords	AbstractStreamingJoinOperator.AssociatedRecords.of(BaseRow input, boolean inputIsLeft, JoinRecordStateView otherSideStateView, JoinCondition condition) Creates an AbstractStreamingJoinOperator.AssociatedRecords which represents the records associated to the input row.

类型变量类型为BaseRow的org.apache.flink.table.runtime.operators.join.stream中的方法参数

限定符和类型	方法和说明
void	StreamingJoinOperator.processElement1(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)
void	StreamingSemiAntiJoinOperator.processElement1(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element) Process an input element and output incremental joined records, retraction messages will be sent in some scenarios.
void	StreamingJoinOperator.processElement2(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)
void	StreamingSemiAntiJoinOperator.processElement2(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element) Process an input element and output incremental joined records, retraction messages will be sent in some scenarios.

org.apache.flink.table.runtime.operators.join.stream.state中BaseRow的使用

返回变量类型为BaseRow的类型的org.apache.flink.table.runtime.operators.join.stream.state中的方法

限定符和类型	方法和说明
Iterable<BaseRow>	JoinRecordStateView.getRecords() Gets all the records under the current context (i.e. join key).
Iterable<org.apache.flink.api.java.tuple.Tuple2<BaseRow,Integer>>	OuterJoinRecordStateView.getRecordsAndNumOfAssociations() Gets all the records and number of associations under the current context (i.e. join key).
org.apache.flink.api.java.functions.KeySelector<BaseRow,BaseRow>	JoinInputSideSpec.getUniqueKeySelector() Returns the KeySelector to extract unique key from the input row.
org.apache.flink.api.java.functions.KeySelector<BaseRow,BaseRow>	JoinInputSideSpec.getUniqueKeySelector() Returns the KeySelector to extract unique key from the input row.

参数类型为BaseRow的org.apache.flink.table.runtime.operators.join.stream.state中的方法

限定符和类型	方法和说明
void	JoinRecordStateView.addRecord(BaseRow record) Add a new record to the state view.
void	OuterJoinRecordStateView.addRecord(BaseRow record, int numOfAssociations) Adds a new record with the number of associations to the state view.
void	JoinRecordStateView.retractRecord(BaseRow record) Retract the record from the state view.
void	OuterJoinRecordStateView.updateNumOfAssociations(BaseRow record, int numOfAssociations) Updates the number of associations belongs to the record.

类型变量类型为BaseRow的org.apache.flink.table.runtime.operators.join.stream.state中的方法参数

限定符和类型	方法和说明
static JoinInputSideSpec	JoinInputSideSpec.withUniqueKey(BaseRowTypeInfo uniqueKeyType, org.apache.flink.api.java.functions.KeySelector<BaseRow,BaseRow> uniqueKeySelector) Creates a JoinInputSideSpec that the input has an unique key.
static JoinInputSideSpec	JoinInputSideSpec.withUniqueKey(BaseRowTypeInfo uniqueKeyType, org.apache.flink.api.java.functions.KeySelector<BaseRow,BaseRow> uniqueKeySelector) Creates a JoinInputSideSpec that the input has an unique key.
static JoinInputSideSpec	JoinInputSideSpec.withUniqueKeyContainedByJoinKey(BaseRowTypeInfo uniqueKeyType, org.apache.flink.api.java.functions.KeySelector<BaseRow,BaseRow> uniqueKeySelector) Creates a JoinInputSideSpec that input has an unique key and the unique key is contained by the join key.
static JoinInputSideSpec	JoinInputSideSpec.withUniqueKeyContainedByJoinKey(BaseRowTypeInfo uniqueKeyType, org.apache.flink.api.java.functions.KeySelector<BaseRow,BaseRow> uniqueKeySelector) Creates a JoinInputSideSpec that input has an unique key and the unique key is contained by the join key.

org.apache.flink.table.runtime.operators.join.temporal中BaseRow的使用

类型变量类型为BaseRow的org.apache.flink.table.runtime.operators.join.temporal中的方法参数

限定符和类型	方法和说明
void	TemporalProcessTimeJoinOperator.processElement1(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)
void	TemporalRowTimeJoinOperator.processElement1(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)
void	TemporalProcessTimeJoinOperator.processElement2(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)
void	TemporalRowTimeJoinOperator.processElement2(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)

org.apache.flink.table.runtime.operators.match中BaseRow的使用

返回变量类型为BaseRow的类型的org.apache.flink.table.runtime.operators.match中的方法

限定符和类型	方法和说明
org.apache.flink.api.common.typeinfo.TypeInformation<BaseRow>	RowtimeProcessFunction.getProducedType()

参数类型为BaseRow的org.apache.flink.table.runtime.operators.match中的方法

限定符和类型	方法和说明
int	BaseRowEventComparator.compare(BaseRow row1, BaseRow row2)
boolean	IterativeConditionRunner.filter(BaseRow value, org.apache.flink.cep.pattern.conditions.IterativeCondition.Context<BaseRow> ctx)
void	RowtimeProcessFunction.processElement(BaseRow value, org.apache.flink.streaming.api.functions.ProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)

类型变量类型为BaseRow的org.apache.flink.table.runtime.operators.match中的方法参数

限定符和类型	方法和说明
boolean	IterativeConditionRunner.filter(BaseRow value, org.apache.flink.cep.pattern.conditions.IterativeCondition.Context<BaseRow> ctx)
void	RowtimeProcessFunction.processElement(BaseRow value, org.apache.flink.streaming.api.functions.ProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)
void	PatternProcessFunctionRunner.processMatch(Map<String,List<BaseRow>> match, org.apache.flink.cep.functions.PatternProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)
void	PatternProcessFunctionRunner.processMatch(Map<String,List<BaseRow>> match, org.apache.flink.cep.functions.PatternProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)

类型变量类型为BaseRow的org.apache.flink.table.runtime.operators.match中的构造器参数

构造器和说明
IterativeConditionRunner(GeneratedFunction<org.apache.flink.cep.pattern.conditions.RichIterativeCondition<BaseRow>> generatedFunction)
PatternProcessFunctionRunner(GeneratedFunction<org.apache.flink.cep.functions.PatternProcessFunction<BaseRow,BaseRow>> generatedFunction)
PatternProcessFunctionRunner(GeneratedFunction<org.apache.flink.cep.functions.PatternProcessFunction<BaseRow,BaseRow>> generatedFunction)
RowtimeProcessFunction(int rowtimeIdx, org.apache.flink.api.common.typeinfo.TypeInformation<BaseRow> returnType, int precision)

org.apache.flink.table.runtime.operators.over中BaseRow的使用

参数类型为BaseRow的org.apache.flink.table.runtime.operators.over中的方法

限定符和类型	方法和说明
void	RowTimeRangeBoundedPrecedingFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)
void	ProcTimeRowsBoundedPrecedingFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)
void	AbstractRowTimeUnboundedPrecedingOver.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out) Puts an element from the input stream into state if it is not late.
void	ProcTimeUnboundedPrecedingFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)
void	RowTimeRowsBoundedPrecedingFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)
void	ProcTimeRangeBoundedPrecedingFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)

类型变量类型为BaseRow的org.apache.flink.table.runtime.operators.over中的方法参数

限定符和类型	方法和说明
void	RowTimeRangeBoundedPrecedingFunction.onTimer(long timestamp, org.apache.flink.streaming.api.functions.KeyedProcessFunction.OnTimerContext ctx, org.apache.flink.util.Collector<BaseRow> out)
void	ProcTimeRowsBoundedPrecedingFunction.onTimer(long timestamp, org.apache.flink.streaming.api.functions.KeyedProcessFunction.OnTimerContext ctx, org.apache.flink.util.Collector<BaseRow> out)
void	AbstractRowTimeUnboundedPrecedingOver.onTimer(long timestamp, org.apache.flink.streaming.api.functions.KeyedProcessFunction.OnTimerContext ctx, org.apache.flink.util.Collector<BaseRow> out)
void	ProcTimeUnboundedPrecedingFunction.onTimer(long timestamp, org.apache.flink.streaming.api.functions.KeyedProcessFunction.OnTimerContext ctx, org.apache.flink.util.Collector<BaseRow> out)
void	RowTimeRowsBoundedPrecedingFunction.onTimer(long timestamp, org.apache.flink.streaming.api.functions.KeyedProcessFunction.OnTimerContext ctx, org.apache.flink.util.Collector<BaseRow> out)
void	ProcTimeRangeBoundedPrecedingFunction.onTimer(long timestamp, org.apache.flink.streaming.api.functions.KeyedProcessFunction.OnTimerContext ctx, org.apache.flink.util.Collector<BaseRow> out)
void	RowTimeRangeBoundedPrecedingFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)
void	ProcTimeRowsBoundedPrecedingFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)
void	AbstractRowTimeUnboundedPrecedingOver.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out) Puts an element from the input stream into state if it is not late.
void	ProcTimeUnboundedPrecedingFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)
void	RowTimeRowsBoundedPrecedingFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)
void	ProcTimeRangeBoundedPrecedingFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)
void	NonBufferOverWindowOperator.processElement(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)
void	BufferDataOverWindowOperator.processElement(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)
void	RowTimeRangeUnboundedPrecedingFunction.processElementsWithSameTimestamp(List<BaseRow> curRowList, org.apache.flink.util.Collector<BaseRow> out)
void	RowTimeRangeUnboundedPrecedingFunction.processElementsWithSameTimestamp(List<BaseRow> curRowList, org.apache.flink.util.Collector<BaseRow> out)
void	RowTimeRowsUnboundedPrecedingFunction.processElementsWithSameTimestamp(List<BaseRow> curRowList, org.apache.flink.util.Collector<BaseRow> out)
void	RowTimeRowsUnboundedPrecedingFunction.processElementsWithSameTimestamp(List<BaseRow> curRowList, org.apache.flink.util.Collector<BaseRow> out)
protected abstract void	AbstractRowTimeUnboundedPrecedingOver.processElementsWithSameTimestamp(List<BaseRow> curRowList, org.apache.flink.util.Collector<BaseRow> out) Process the same timestamp datas, the mechanism is different between rows and range window.
protected abstract void	AbstractRowTimeUnboundedPrecedingOver.processElementsWithSameTimestamp(List<BaseRow> curRowList, org.apache.flink.util.Collector<BaseRow> out) Process the same timestamp datas, the mechanism is different between rows and range window.

org.apache.flink.table.runtime.operators.over.frame中BaseRow的使用

返回BaseRow的org.apache.flink.table.runtime.operators.over.frame中的方法

限定符和类型	方法和说明
BaseRow	InsensitiveOverFrame.process(int index, BaseRow current)
BaseRow	RangeUnboundedFollowingOverFrame.process(int index, BaseRow current)
BaseRow	RowUnboundedFollowingOverFrame.process(int index, BaseRow current)
BaseRow	RangeSlidingOverFrame.process(int index, BaseRow current)
BaseRow	OverWindowFrame.process(int index, BaseRow current) return the ACC of the window frame.
BaseRow	RowSlidingOverFrame.process(int index, BaseRow current)
BaseRow	UnboundedOverWindowFrame.process(int index, BaseRow current)
BaseRow	OffsetOverFrame.process(int index, BaseRow current)
BaseRow	RangeUnboundedPrecedingOverFrame.process(int index, BaseRow current)
BaseRow	RowUnboundedPrecedingOverFrame.process(int index, BaseRow current)

参数类型为BaseRow的org.apache.flink.table.runtime.operators.over.frame中的方法

限定符和类型	方法和说明
long	OffsetOverFrame.CalcOffsetFunc.calc(BaseRow row)
BaseRow	InsensitiveOverFrame.process(int index, BaseRow current)
BaseRow	RangeUnboundedFollowingOverFrame.process(int index, BaseRow current)
BaseRow	RowUnboundedFollowingOverFrame.process(int index, BaseRow current)
BaseRow	RangeSlidingOverFrame.process(int index, BaseRow current)
BaseRow	OverWindowFrame.process(int index, BaseRow current) return the ACC of the window frame.
BaseRow	RowSlidingOverFrame.process(int index, BaseRow current)
BaseRow	UnboundedOverWindowFrame.process(int index, BaseRow current)
BaseRow	OffsetOverFrame.process(int index, BaseRow current)
BaseRow	RangeUnboundedPrecedingOverFrame.process(int index, BaseRow current)
BaseRow	RowUnboundedPrecedingOverFrame.process(int index, BaseRow current)

org.apache.flink.table.runtime.operators.rank中BaseRow的使用

类型参数类型为BaseRow的org.apache.flink.table.runtime.operators.rank中的字段

限定符和类型	字段和说明
protected Comparator<BaseRow>	AbstractTopNFunction.sortKeyComparator
protected org.apache.flink.api.java.functions.KeySelector<BaseRow,BaseRow>	AbstractTopNFunction.sortKeySelector
protected org.apache.flink.api.java.functions.KeySelector<BaseRow,BaseRow>	AbstractTopNFunction.sortKeySelector

参数类型为BaseRow的org.apache.flink.table.runtime.operators.rank中的方法

限定符和类型	方法和说明
protected boolean	AbstractTopNFunction.checkSortKeyInBufferRange(BaseRow sortKey, org.apache.flink.table.runtime.operators.rank.TopNBuffer buffer) Checks whether the record should be put into the buffer.
protected void	AbstractTopNFunction.collect(org.apache.flink.util.Collector<BaseRow> out, BaseRow inputRow)
protected void	AbstractTopNFunction.collect(org.apache.flink.util.Collector<BaseRow> out, BaseRow inputRow, long rank)
protected void	AbstractTopNFunction.delete(org.apache.flink.util.Collector<BaseRow> out, BaseRow inputRow) This is similar to [[retract()]] but always send retraction message regardless of generateRetraction is true or not.
protected void	AbstractTopNFunction.delete(org.apache.flink.util.Collector<BaseRow> out, BaseRow inputRow, long rank) This is with-row-number version of above delete() method.
protected long	AbstractTopNFunction.initRankEnd(BaseRow row) Initialize rank end.
void	RetractableTopNFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)
void	AppendOnlyTopNFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context context, org.apache.flink.util.Collector<BaseRow> out)
void	UpdatableTopNFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context context, org.apache.flink.util.Collector<BaseRow> out)
protected void	AbstractTopNFunction.retract(org.apache.flink.util.Collector<BaseRow> out, BaseRow inputRow, long rank)

类型变量类型为BaseRow的org.apache.flink.table.runtime.operators.rank中的方法参数

限定符和类型	方法和说明
protected void	AbstractTopNFunction.collect(org.apache.flink.util.Collector<BaseRow> out, BaseRow inputRow)
protected void	AbstractTopNFunction.collect(org.apache.flink.util.Collector<BaseRow> out, BaseRow inputRow, long rank)
protected void	AbstractTopNFunction.delete(org.apache.flink.util.Collector<BaseRow> out, BaseRow inputRow) This is similar to [[retract()]] but always send retraction message regardless of generateRetraction is true or not.
protected void	AbstractTopNFunction.delete(org.apache.flink.util.Collector<BaseRow> out, BaseRow inputRow, long rank) This is with-row-number version of above delete() method.
void	RetractableTopNFunction.onTimer(long timestamp, org.apache.flink.streaming.api.functions.KeyedProcessFunction.OnTimerContext ctx, org.apache.flink.util.Collector<BaseRow> out)
void	AppendOnlyTopNFunction.onTimer(long timestamp, org.apache.flink.streaming.api.functions.KeyedProcessFunction.OnTimerContext ctx, org.apache.flink.util.Collector<BaseRow> out)
void	UpdatableTopNFunction.onTimer(long timestamp, org.apache.flink.streaming.api.functions.KeyedProcessFunction.OnTimerContext ctx, org.apache.flink.util.Collector<BaseRow> out)
void	RetractableTopNFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context ctx, org.apache.flink.util.Collector<BaseRow> out)
void	AppendOnlyTopNFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context context, org.apache.flink.util.Collector<BaseRow> out)
void	UpdatableTopNFunction.processElement(BaseRow input, org.apache.flink.streaming.api.functions.KeyedProcessFunction.Context context, org.apache.flink.util.Collector<BaseRow> out)
protected void	AbstractTopNFunction.retract(org.apache.flink.util.Collector<BaseRow> out, BaseRow inputRow, long rank)

org.apache.flink.table.runtime.operators.sort中BaseRow的使用

参数类型为BaseRow的org.apache.flink.table.runtime.operators.sort中的方法

限定符和类型	方法和说明
boolean	BinaryInMemorySortBuffer.write(BaseRow record) Writes a given record to this sort buffer.
void	BinaryExternalSorter.write(BaseRow current)
protected void	BinaryIndexedSortable.writeIndexAndNormalizedKey(BaseRow record, long currOffset) Write of index and normalizedKey.

类型变量类型为BaseRow的org.apache.flink.table.runtime.operators.sort中的方法参数

限定符和类型	方法和说明
static BinaryInMemorySortBuffer	BinaryInMemorySortBuffer.createBuffer(NormalizedKeyComputer normalizedKeyComputer, AbstractRowSerializer<BaseRow> inputSerializer, BinaryRowSerializer serializer, RecordComparator comparator, List<org.apache.flink.core.memory.MemorySegment> memory) Create a memory sorter in `insert` way.
void	ProcTimeSortOperator.onEventTime(org.apache.flink.streaming.api.operators.InternalTimer<BaseRow,org.apache.flink.runtime.state.VoidNamespace> timer)
void	RowTimeSortOperator.onEventTime(org.apache.flink.streaming.api.operators.InternalTimer<BaseRow,org.apache.flink.runtime.state.VoidNamespace> timer)
void	ProcTimeSortOperator.onProcessingTime(org.apache.flink.streaming.api.operators.InternalTimer<BaseRow,org.apache.flink.runtime.state.VoidNamespace> timer)
void	RowTimeSortOperator.onProcessingTime(org.apache.flink.streaming.api.operators.InternalTimer<BaseRow,org.apache.flink.runtime.state.VoidNamespace> timer)
void	RankOperator.processElement(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)
void	SortOperator.processElement(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)
void	SortLimitOperator.processElement(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)
void	ProcTimeSortOperator.processElement(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)
void	StreamSortOperator.processElement(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)
void	RowTimeSortOperator.processElement(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)
void	LimitOperator.processElement(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)

类型变量类型为BaseRow的org.apache.flink.table.runtime.operators.sort中的构造器参数

构造器和说明
BinaryExternalSorter(Object owner, org.apache.flink.runtime.memory.MemoryManager memoryManager, long reservedMemorySize, org.apache.flink.runtime.io.disk.iomanager.IOManager ioManager, AbstractRowSerializer<BaseRow> inputSerializer, BinaryRowSerializer serializer, NormalizedKeyComputer normalizedKeyComputer, RecordComparator comparator, org.apache.flink.configuration.Configuration conf)
BinaryExternalSorter(Object owner, org.apache.flink.runtime.memory.MemoryManager memoryManager, long reservedMemorySize, org.apache.flink.runtime.io.disk.iomanager.IOManager ioManager, AbstractRowSerializer<BaseRow> inputSerializer, BinaryRowSerializer serializer, NormalizedKeyComputer normalizedKeyComputer, RecordComparator comparator, org.apache.flink.configuration.Configuration conf, float startSpillingFraction)

org.apache.flink.table.runtime.operators.values中BaseRow的使用

返回BaseRow的org.apache.flink.table.runtime.operators.values中的方法

限定符和类型	方法和说明
BaseRow	ValuesInputFormat.nextRecord(BaseRow reuse)

参数类型为BaseRow的org.apache.flink.table.runtime.operators.values中的方法

限定符和类型	方法和说明
BaseRow	ValuesInputFormat.nextRecord(BaseRow reuse)

类型变量类型为BaseRow的org.apache.flink.table.runtime.operators.values中的构造器参数

构造器和说明
ValuesInputFormat(GeneratedInput<org.apache.flink.api.common.io.GenericInputFormat<BaseRow>> generatedInput, BaseRowTypeInfo returnType)

org.apache.flink.table.runtime.operators.window中BaseRow的使用

类型参数类型为BaseRow的org.apache.flink.table.runtime.operators.window中的字段

限定符和类型	字段和说明
protected org.apache.flink.streaming.api.operators.TimestampedCollector<BaseRow>	WindowOperator.collector This is used for emitting elements with a given timestamp.
protected org.apache.flink.runtime.state.internal.InternalValueState<K,W,BaseRow>	WindowOperator.previousState

类型变量类型为BaseRow的org.apache.flink.table.runtime.operators.window中的方法参数

限定符和类型	方法和说明
void	WindowOperator.processElement(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> record)

org.apache.flink.table.runtime.operators.window.assigners中BaseRow的使用

参数类型为BaseRow的org.apache.flink.table.runtime.operators.window.assigners中的方法

限定符和类型	方法和说明
Collection<CountWindow>	CountSlidingWindowAssigner.assignWindows(BaseRow element, long timestamp)
Collection<TimeWindow>	SlidingWindowAssigner.assignWindows(BaseRow element, long timestamp)
Collection<TimeWindow>	SessionWindowAssigner.assignWindows(BaseRow element, long timestamp)
Collection<TimeWindow>	TumblingWindowAssigner.assignWindows(BaseRow element, long timestamp)
Collection<CountWindow>	CountTumblingWindowAssigner.assignWindows(BaseRow element, long timestamp)
abstract Collection<W>	WindowAssigner.assignWindows(BaseRow element, long timestamp) Given the timestamp and element, returns the set of windows into which it should be placed.

org.apache.flink.table.runtime.operators.window.internal中BaseRow的使用

返回BaseRow的org.apache.flink.table.runtime.operators.window.internal中的方法

限定符和类型	方法和说明
BaseRow	InternalWindowProcessFunction.Context.getWindowAccumulators(W window) Gets the accumulators of the given window.

参数类型为BaseRow的org.apache.flink.table.runtime.operators.window.internal中的方法

限定符和类型	方法和说明
Collection<W>	PanedWindowProcessFunction.assignActualWindows(BaseRow inputRow, long timestamp)
abstract Collection<W>	InternalWindowProcessFunction.assignActualWindows(BaseRow inputRow, long timestamp) Assigns the input element into the actual windows which the Trigger should trigger on.
Collection<W>	MergingWindowProcessFunction.assignActualWindows(BaseRow inputRow, long timestamp)
Collection<W>	GeneralWindowProcessFunction.assignActualWindows(BaseRow inputRow, long timestamp)
Collection<W>	PanedWindowProcessFunction.assignStateNamespace(BaseRow inputRow, long timestamp)
abstract Collection<W>	InternalWindowProcessFunction.assignStateNamespace(BaseRow inputRow, long timestamp) Assigns the input element into the state namespace which the input element should be accumulated/retracted into.
Collection<W>	MergingWindowProcessFunction.assignStateNamespace(BaseRow inputRow, long timestamp)
Collection<W>	GeneralWindowProcessFunction.assignStateNamespace(BaseRow inputRow, long timestamp)
void	InternalWindowProcessFunction.Context.setWindowAccumulators(W window, BaseRow acc) Sets the accumulators of the given window.

org.apache.flink.table.runtime.operators.wmassigners中BaseRow的使用

参数类型为BaseRow的org.apache.flink.table.runtime.operators.wmassigners中的方法

限定符和类型	方法和说明
Long	BoundedOutOfOrderWatermarkGenerator.currentWatermark(BaseRow row)

类型变量类型为BaseRow的org.apache.flink.table.runtime.operators.wmassigners中的方法参数

限定符和类型	方法和说明
void	RowTimeMiniBatchAssginerOperator.processElement(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)
void	ProcTimeMiniBatchAssignerOperator.processElement(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)
void	WatermarkAssignerOperator.processElement(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow> element)

org.apache.flink.table.runtime.partitioner中BaseRow的使用

返回变量类型为BaseRow的类型的org.apache.flink.table.runtime.partitioner中的方法

限定符和类型	方法和说明
org.apache.flink.streaming.runtime.partitioner.StreamPartitioner<BaseRow>	BinaryHashPartitioner.copy()

类型变量类型为BaseRow的org.apache.flink.table.runtime.partitioner中的方法参数

限定符和类型	方法和说明
int	BinaryHashPartitioner.selectChannel(org.apache.flink.runtime.plugable.SerializationDelegate<org.apache.flink.streaming.runtime.streamrecord.StreamRecord<BaseRow>> record)

org.apache.flink.table.runtime.typeutils中BaseRow的使用

类型参数类型为BaseRow的org.apache.flink.table.runtime.typeutils中的类

限定符和类型	类和说明
class	AbstractRowSerializer<T extends BaseRow> Row serializer, provided paged serialize paged method.

返回BaseRow的org.apache.flink.table.runtime.typeutils中的方法

限定符和类型	方法和说明
BaseRow	BaseRowSerializer.copy(BaseRow from)
BaseRow	BaseRowSerializer.copy(BaseRow from, BaseRow reuse)
BaseRow	BaseRowSerializer.createInstance()
BaseRow	BaseRowSerializer.deserialize(BaseRow reuse, org.apache.flink.core.memory.DataInputView source)
BaseRow	BaseRowSerializer.deserialize(org.apache.flink.core.memory.DataInputView source)
BaseRow	BaseRowSerializer.deserializeFromPages(org.apache.flink.runtime.memory.AbstractPagedInputView source)
BaseRow	BaseRowSerializer.deserializeFromPages(BaseRow reuse, org.apache.flink.runtime.memory.AbstractPagedInputView source)
BaseRow	BaseRowSerializer.mapFromPages(org.apache.flink.runtime.memory.AbstractPagedInputView source)
BaseRow	BaseRowSerializer.mapFromPages(BaseRow reuse, org.apache.flink.runtime.memory.AbstractPagedInputView source)

返回变量类型为BaseRow的类型的org.apache.flink.table.runtime.typeutils中的方法

限定符和类型	方法和说明
org.apache.flink.api.common.typeutils.TypeComparator<BaseRow>	BaseRowTypeInfo.createComparator(int[] logicalKeyFields, boolean[] orders, int logicalFieldOffset, org.apache.flink.api.common.ExecutionConfig config)
org.apache.flink.api.common.typeutils.CompositeType.TypeComparatorBuilder<BaseRow>	BaseRowTypeInfo.createTypeComparatorBuilder()
org.apache.flink.api.common.typeutils.TypeSerializer<BaseRow>	BaseRowSerializer.duplicate()
org.apache.flink.api.common.typeutils.TypeSerializerSchemaCompatibility<BaseRow>	BaseRowSerializer.BaseRowSerializerSnapshot.resolveSchemaCompatibility(org.apache.flink.api.common.typeutils.TypeSerializer<BaseRow> newSerializer)
org.apache.flink.api.common.typeutils.TypeSerializerSnapshot<BaseRow>	BaseRowSerializer.snapshotConfiguration()

参数类型为BaseRow的org.apache.flink.table.runtime.typeutils中的方法

限定符和类型	方法和说明
BaseRow	BaseRowSerializer.copy(BaseRow from)
BaseRow	BaseRowSerializer.copy(BaseRow from, BaseRow reuse)
BaseRow	BaseRowSerializer.deserialize(BaseRow reuse, org.apache.flink.core.memory.DataInputView source)
BaseRow	BaseRowSerializer.deserializeFromPages(BaseRow reuse, org.apache.flink.runtime.memory.AbstractPagedInputView source)
BaseRow	BaseRowSerializer.mapFromPages(BaseRow reuse, org.apache.flink.runtime.memory.AbstractPagedInputView source)
void	BaseRowSerializer.serialize(BaseRow row, org.apache.flink.core.memory.DataOutputView target)
int	BaseRowSerializer.serializeToPages(BaseRow row, org.apache.flink.runtime.memory.AbstractPagedOutputView target)
BinaryRow	BaseRowSerializer.toBinaryRow(BaseRow row) Convert base row to binary row.

类型变量类型为BaseRow的org.apache.flink.table.runtime.typeutils中的方法参数

限定符和类型	方法和说明
org.apache.flink.api.common.typeutils.TypeSerializerSchemaCompatibility<BaseRow>	BaseRowSerializer.BaseRowSerializerSnapshot.resolveSchemaCompatibility(org.apache.flink.api.common.typeutils.TypeSerializer<BaseRow> newSerializer)

org.apache.flink.table.runtime.util中BaseRow的使用

类型参数类型为BaseRow的org.apache.flink.table.runtime.util中的类

限定符和类型	接口和说明
interface	RowIterator<T extends BaseRow> An internal iterator interface which presents a more restrictive API than Iterator.

参数类型为BaseRow的org.apache.flink.table.runtime.util中的方法

限定符和类型	方法和说明
void	ResettableRowBuffer.add(BaseRow row) Appends the specified row to the end of this buffer.
void	ResettableExternalBuffer.add(BaseRow row)