类的使用
org.apache.flink.streaming.connectors.kafka.config.BoundedMode

使用BoundedMode的程序包

程序包	说明
org.apache.flink.streaming.connectors.kafka.config
org.apache.flink.streaming.connectors.kafka.table

org.apache.flink.streaming.connectors.kafka.config中BoundedMode的使用

返回BoundedMode的org.apache.flink.streaming.connectors.kafka.config中的方法

限定符和类型	方法和说明
static BoundedMode	BoundedMode.valueOf(String name) 返回带有指定名称的该类型的枚举常量。
static BoundedMode[]	BoundedMode.values() 按照声明该枚举类型的常量的顺序, 返回 包含这些常量的数组。

org.apache.flink.streaming.connectors.kafka.table中BoundedMode的使用

声明为BoundedMode的org.apache.flink.streaming.connectors.kafka.table中的字段

限定符和类型	字段和说明
protected BoundedMode	KafkaDynamicSource.boundedMode The bounded mode for the contained consumer (default is an unbounded data stream).

参数类型为BoundedMode的org.apache.flink.streaming.connectors.kafka.table中的方法

限定符和类型

方法和说明

protected KafkaDynamicSource

KafkaDynamicTableFactory.createKafkaTableSource(org.apache.flink.table.types.DataType physicalDataType, org.apache.flink.table.connector.format.DecodingFormat<org.apache.flink.api.common.serialization.DeserializationSchema<org.apache.flink.table.data.RowData>> keyDecodingFormat, org.apache.flink.table.connector.format.DecodingFormat<org.apache.flink.api.common.serialization.DeserializationSchema<org.apache.flink.table.data.RowData>> valueDecodingFormat, int[] keyProjection, int[] valueProjection, String keyPrefix, List<String> topics, Pattern topicPattern, Properties properties, StartupMode startupMode, Map<KafkaTopicPartition,Long> specificStartupOffsets, long startupTimestampMillis, BoundedMode boundedMode, Map<KafkaTopicPartition,Long> specificEndOffsets, long endTimestampMillis, String tableIdentifier)

参数类型为BoundedMode的org.apache.flink.streaming.connectors.kafka.table中的构造器

构造器和说明

KafkaDynamicSource(org.apache.flink.table.types.DataType physicalDataType, org.apache.flink.table.connector.format.DecodingFormat<org.apache.flink.api.common.serialization.DeserializationSchema<org.apache.flink.table.data.RowData>> keyDecodingFormat, org.apache.flink.table.connector.format.DecodingFormat<org.apache.flink.api.common.serialization.DeserializationSchema<org.apache.flink.table.data.RowData>> valueDecodingFormat, int[] keyProjection, int[] valueProjection, String keyPrefix, List<String> topics, Pattern topicPattern, Properties properties, StartupMode startupMode, Map<KafkaTopicPartition,Long> specificStartupOffsets, long startupTimestampMillis, BoundedMode boundedMode, Map<KafkaTopicPartition,Long> specificBoundedOffsets, long boundedTimestampMillis, boolean upsertMode, String tableIdentifier)