net.wicp.tams.common.flink.connector.kafka.connector

类 KafkaScanFunction

java.lang.Object

org.apache.flink.api.common.functions.AbstractRichFunction

org.apache.flink.streaming.api.functions.source.RichSourceFunction<org.apache.flink.table.data.RowData>

net.wicp.tams.common.flink.connector.kafka.connector.KafkaScanFunction

所有已实现的接口:

Serializable, org.apache.flink.api.common.functions.Function, org.apache.flink.api.common.functions.RichFunction, org.apache.flink.api.java.typeutils.ResultTypeQueryable<org.apache.flink.table.data.RowData>, org.apache.flink.streaming.api.checkpoint.CheckpointedFunction, org.apache.flink.streaming.api.functions.source.SourceFunction<org.apache.flink.table.data.RowData>

public class KafkaScanFunction
extends org.apache.flink.streaming.api.functions.source.RichSourceFunction<org.apache.flink.table.data.RowData>
implements org.apache.flink.api.java.typeutils.ResultTypeQueryable<org.apache.flink.table.data.RowData>, org.apache.flink.streaming.api.checkpoint.CheckpointedFunction

不需要CheckpointedFunction,不设置并行度，就是Source默认并行度为cpu core数 此Source不需要设置并行度，在工具类中会跟据patition个数自动启多线程。

作者:

Andy.zhou

另请参阅:

序列化表格

嵌套类概要

从接口继承的嵌套类/接口 org.apache.flink.streaming.api.functions.source.SourceFunction

org.apache.flink.streaming.api.functions.source.SourceFunction.SourceContext<T>

构造器概要

构造器

构造器和说明
KafkaScanFunction(org.apache.flink.configuration.Configuration optionsWith, List<org.apache.flink.table.types.logical.RowType.RowField> rowTypeFields, org.apache.flink.table.catalog.UniqueConstraint primaryKey, String tableName, org.apache.flink.api.common.serialization.DeserializationSchema<org.apache.flink.table.data.RowData> deserializationSchema) 需要在配置文件中存在相关的配置

方法概要

限定符和类型	方法和说明
void	cancel()
static int[]	createValueFormatProjection(org.apache.flink.table.types.DataType physicalDataType)
org.apache.flink.api.common.typeinfo.TypeInformation<org.apache.flink.table.data.RowData>	getProducedType()
void	initializeState(org.apache.flink.runtime.state.FunctionInitializationContext context)
void	open(org.apache.flink.configuration.Configuration parameters)
void	run(org.apache.flink.streaming.api.functions.source.SourceFunction.SourceContext<org.apache.flink.table.data.RowData> ctx)
void	setRuntimeContext(org.apache.flink.api.common.functions.RuntimeContext t)
void	snapshotState(org.apache.flink.runtime.state.FunctionSnapshotContext context)

从类继承的方法 org.apache.flink.api.common.functions.AbstractRichFunction

close, getIterationRuntimeContext, getRuntimeContext

从类继承的方法 java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

从接口继承的方法 org.apache.flink.api.common.functions.RichFunction

open

构造器详细资料

KafkaScanFunction

public KafkaScanFunction(org.apache.flink.configuration.Configuration optionsWith,
                         List<org.apache.flink.table.types.logical.RowType.RowField> rowTypeFields,
                         org.apache.flink.table.catalog.UniqueConstraint primaryKey,
                         String tableName,
                         org.apache.flink.api.common.serialization.DeserializationSchema<org.apache.flink.table.data.RowData> deserializationSchema)

需要在配置文件中存在相关的配置

参数:

optionsWith -

rowTypeFields -

方法详细资料

run

public void run(org.apache.flink.streaming.api.functions.source.SourceFunction.SourceContext<org.apache.flink.table.data.RowData> ctx)
         throws Exception

指定者:

run 在接口中 org.apache.flink.streaming.api.functions.source.SourceFunction<org.apache.flink.table.data.RowData>

抛出:

Exception

createValueFormatProjection

public static int[] createValueFormatProjection(org.apache.flink.table.types.DataType physicalDataType)

cancel

public void cancel()

指定者:

cancel 在接口中 org.apache.flink.streaming.api.functions.source.SourceFunction<org.apache.flink.table.data.RowData>

getProducedType

public org.apache.flink.api.common.typeinfo.TypeInformation<org.apache.flink.table.data.RowData> getProducedType()

指定者:

getProducedType 在接口中 org.apache.flink.api.java.typeutils.ResultTypeQueryable<org.apache.flink.table.data.RowData>

setRuntimeContext

public void setRuntimeContext(org.apache.flink.api.common.functions.RuntimeContext t)

指定者:

setRuntimeContext 在接口中 org.apache.flink.api.common.functions.RichFunction

覆盖:

setRuntimeContext 在类中 org.apache.flink.api.common.functions.AbstractRichFunction

open

public void open(org.apache.flink.configuration.Configuration parameters)
          throws Exception

指定者:

open 在接口中 org.apache.flink.api.common.functions.RichFunction

覆盖:

open 在类中 org.apache.flink.api.common.functions.AbstractRichFunction

抛出:

Exception

snapshotState

public void snapshotState(org.apache.flink.runtime.state.FunctionSnapshotContext context)
                   throws Exception

指定者:

snapshotState 在接口中 org.apache.flink.streaming.api.checkpoint.CheckpointedFunction

抛出:

Exception

initializeState

public void initializeState(org.apache.flink.runtime.state.FunctionInitializationContext context)
                     throws Exception

指定者:

initializeState 在接口中 org.apache.flink.streaming.api.checkpoint.CheckpointedFunction

抛出:

Exception