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体验新版 GitCode,发现更多精彩内容 >>
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c6d9b37a
编写于
2月 22, 2019
作者:
A
Aljoscha Krettek
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差异文件
[FLINK-8354] Update Kafka doc for new KafkaDeserializationSchema
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docs/dev/connectors/kafka.md
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docs/dev/connectors/kafka.md
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@@ -159,7 +159,7 @@ or just `FlinkKafkaConsumer` for Kafka >= 1.0.0 versions). It provides access to
The constructor accepts the following arguments:
1.
The topic name / list of topic names
2.
A DeserializationSchema / K
eyed
DeserializationSchema for deserializing the data from Kafka
2.
A DeserializationSchema / K
afka
DeserializationSchema for deserializing the data from Kafka
3.
Properties for the Kafka consumer.
The following properties are required:
-
"bootstrap.servers" (comma separated list of Kafka brokers)
...
...
@@ -204,8 +204,8 @@ It is usually helpful to start from the `AbstractDeserializationSchema`, which t
produced Java/Scala type to Flink's type system. Users that implement a vanilla
`DeserializationSchema`
need
to implement the
`getProducedType(...)`
method themselves.
For accessing
both the key and value of the Kafka message, the
`Keyed
DeserializationSchema`
has
the following deserialize method
`T deserialize(
byte[] messageKey, byte[] message, String topic, int partition, long offset
)`
.
For accessing
the key, value and metadata of the Kafka message, the
`Kafka
DeserializationSchema`
has
the following deserialize method
`T deserialize(
ConsumerRecord<byte[], byte[]> record
)`
.
For convenience, Flink provides the following schemas:
...
...
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